In the present scenario of world is energy driven and batteries have turned into an essential part as an energy source considering the mechanical advances in electric and frameworks. Batteries are requiring recharging because of energy limitation. Recharging batteries with solar powered vitality by methods for sunlight-based cells can offer an advantageous alternative for shrewd customer hardware. In the interim, batteries can be utilized to address the discontinuity worry of photovoltaics.
The technology lead-acid battery capable of long cycle and most efficiently recycled commodity metal. Over a 99% of battery recycled in USA and Europe. Even though Li-ion and other types of battery have advantages in terms of specific energy and energy density, but selection of lead-acid battery depend on its sustainability of chemistry, completely recycled energy storage system and partially recycled metal parts [1]. In addition, that electrochemical models have been computationally complex in terms of parameter identification and constant phase element dynamics [2].
Battery charging control system play important role of stabilized power supply. The maximum power point tracking (MPPT) and pulse width modulation along with smart charging methods helps to get maximum power, intelligent utilization of energy and reduce battery charging time [3].
Battery thermal management system (BTMS) is performance and design bottle neck of many electric vehicles mechatronic and energy system. Advanced storing solar energy shift towards sustainable transportation system. Oil pumps in the electric vehicles capable to manage effective cooling system of battery and used for lubrication of various metallic bearings. This paper proposes a solar driven oil management system in electric vehicle.
In this paper discussed about (a) PV and IV characteristics of solar panel based on Simulink simulation (b) Designed a MPPT controller (Easy EDA). The generic algorithm was designed to MPPT and PWM control battery system. Compare different battery charge method. The design consists of four stages which include current booster, battery level indicator, battery charge controller and power supply unit. (c) Solar energy data log by LabVIEW interface (d) tested and optimized best PWM controlled charging method (e) implemented proposed model in oil pump test rig.
Evaluation of lightweight battery management system with field test of elect...IJECEIAES
A battery management system is a crucial part of a battery-powered electric vehicle, which functions as a monitoring system, state estimation, and protection for the vehicle. Among these functions, the state estimation, i.e., state of charge and remaining battery life estimation, is widely researched in order to find an accuracy estimation methodology. Most of the recent researches are based on the study of the battery cell level and the complex algorithm. In practice, there is a statement that the method should be simple and robust. Therefore, this research work is focused on the study of lightweight methodology for state estimation based on the battery pack. The discrete Coulomb counting method and the data-driven approach, based on the Palmgren-Miner method, are proposed for the estimation of the state of charge and remaining battery life, respectively. The proposed methods are evaluated through a battery-powered electric bus under real scenario-based circumstances in the campus transit system. In addition, the battery life-cycle cost analysis is also investigated. The tested bus has currently been in operation in the transit system for more than one year.
The document summarizes a research paper on enhancing battery life in electric vehicles through a hybrid energy storage system combining batteries and ultracapacitors. It finds that using an ultracapacitor can help meet peak power demands and reduce stress on the battery. A comparative analysis shows the hybrid system reduces overall weight and cost of the energy management system by around 15% compared to a battery-only system. The paper introduces a new topology with a multi-source inverter to allow direct connection and power exchange between the load, battery and ultracapacitor for improved efficiency.
IRJET- Analysis of Hybrid Energy Storage System for Electric VehicleIRJET Journal
This document discusses a hybrid energy storage system for electric vehicles that combines batteries and supercapacitors. It begins by introducing the challenges of battery life and charging times for electric vehicles. It then explains that supercapacitors can help address these issues by supporting batteries during peak demands, improving efficiency, and extending battery life. The document provides details on how batteries and supercapacitors work and their advantages when combined in a hybrid system. It describes the basic configuration of such a hybrid energy storage system for electric vehicles.
Performance Simulation Of Photovoltaic System BatteryIJERA Editor
Solar energy, despite being inexhaustible, has a major shortcoming; it is intermittent. As a result, there’s a need for it to be stored for later use. The widely used energy storage in photovoltaic system applications is the lead-acid battery and the knowledge of its state-of-charge (SOC) is important in effecting efficient control and energy management. However, SOC cannot be measured while the battery is connected to the system. This study adjusts and validates two estimation models: battery state-of-charge model using ampere-hour counting method and battery charge voltage model. For the battery state-of-charge model, the SOC is estimated by integrating the charge/discharge current over time while the battery charge voltage characteristic response is modelled by using the equation-fit method which expresses the battery charge voltage variations by a 5th order polynomial in terms of the state-of-charge and current. These models are realized using the MATLAB program. The battery charge voltage model is corrected for errors which may result from reduced charge voltage due to variation of solar radiation using the battery state-of-charge model. Moreover, the starting SOC needed in the state-of-charge model is estimated using the charge voltage model. The accuracies of the models are verified using various laboratory experiments.
An electric circuit model for a lithium-ion battery cell based on automotive ...IJECEIAES
This document presents an electric circuit model for a lithium-ion battery cell based on measurements from automotive drive cycles. The model uses a second-order Thevenin circuit with parameters estimated from voltage and current measurements taken during various driving cycles. Two algorithms, Trust-Region-Reflective and Levenberg-Marquardt, were tested and Levenberg-Marquardt performed better with fewer iterations. The model was validated against measurements using mean squared error and showed good performance for urban and suburban driving cycles.
The document provides an overview of the key components of polymer electrolyte membrane fuel cells (PEMFCs). PEMFCs are considered promising for commercialization due to their high energy efficiency and low emissions. However, cost and durability remain challenges. The performance and cost of PEMFCs depend largely on two key materials - the proton-conducting membrane and the electrocatalysts. The document discusses these components in detail, focusing on the properties required of membrane materials, such as high proton conductivity and chemical/thermal stability. It also reviews efforts to develop high-performance, cost-effective electrocatalysts with reduced platinum content.
A BATTERY CHARGING SYSTEM & APPENDED ZCS (PWM) RESONANT CONVERTER DC-DC BUCK:...ELELIJ
This document summarizes a research paper that proposes a novel battery charging system using a zero-current switching pulse width modulation resonant converter DC-DC buck topology. The system aims to achieve high charging efficiency with minimal switching losses and reduced circuit volume. It operates by switching the circuit with zero-current switching and resonant components to reduce losses and switching stress. The paper analyzes the operating principle and design of the proposed system through 5 modes of operation. Simulation results show the system achieves around 89% charging efficiency, demonstrating satisfactory performance.
A battery charging system & appended zcs (pwm) resonant converter dc dc buck ...hunypink
This paper presents technique for battery charger to achieve efficient performance in charging shaping,
minimum low switching losses and reduction in circuit volume .The operation of circuit charger is switched
with the technique of zero-current-switching, resonant components and append the topology of dc-dc buck.
The proposed novel dc-dc battery charger has advantages with the simplicity, low cost, high efficiency and
with the behaviour of easy control under the ZCS condition accordingly reducing the switching losses. The
detailed study of operating principle and design consideration is performed. A short survey of battery
charging system, capacity demand & its topologies is also presented. In order to compute LC resonant pair
values in conventional converter, the method of characteristic curve is used and electric function equations
are derived from the prototype configuration. The efficient performance of charging shaping is confirmed
through the practical examines and verification of the results is revealed by the MATLAB simulation. The
efficiency is ensured about 89% which is substantially considered being satisfactory performance as
achieved in this paper.
Evaluation of lightweight battery management system with field test of elect...IJECEIAES
A battery management system is a crucial part of a battery-powered electric vehicle, which functions as a monitoring system, state estimation, and protection for the vehicle. Among these functions, the state estimation, i.e., state of charge and remaining battery life estimation, is widely researched in order to find an accuracy estimation methodology. Most of the recent researches are based on the study of the battery cell level and the complex algorithm. In practice, there is a statement that the method should be simple and robust. Therefore, this research work is focused on the study of lightweight methodology for state estimation based on the battery pack. The discrete Coulomb counting method and the data-driven approach, based on the Palmgren-Miner method, are proposed for the estimation of the state of charge and remaining battery life, respectively. The proposed methods are evaluated through a battery-powered electric bus under real scenario-based circumstances in the campus transit system. In addition, the battery life-cycle cost analysis is also investigated. The tested bus has currently been in operation in the transit system for more than one year.
The document summarizes a research paper on enhancing battery life in electric vehicles through a hybrid energy storage system combining batteries and ultracapacitors. It finds that using an ultracapacitor can help meet peak power demands and reduce stress on the battery. A comparative analysis shows the hybrid system reduces overall weight and cost of the energy management system by around 15% compared to a battery-only system. The paper introduces a new topology with a multi-source inverter to allow direct connection and power exchange between the load, battery and ultracapacitor for improved efficiency.
IRJET- Analysis of Hybrid Energy Storage System for Electric VehicleIRJET Journal
This document discusses a hybrid energy storage system for electric vehicles that combines batteries and supercapacitors. It begins by introducing the challenges of battery life and charging times for electric vehicles. It then explains that supercapacitors can help address these issues by supporting batteries during peak demands, improving efficiency, and extending battery life. The document provides details on how batteries and supercapacitors work and their advantages when combined in a hybrid system. It describes the basic configuration of such a hybrid energy storage system for electric vehicles.
Performance Simulation Of Photovoltaic System BatteryIJERA Editor
Solar energy, despite being inexhaustible, has a major shortcoming; it is intermittent. As a result, there’s a need for it to be stored for later use. The widely used energy storage in photovoltaic system applications is the lead-acid battery and the knowledge of its state-of-charge (SOC) is important in effecting efficient control and energy management. However, SOC cannot be measured while the battery is connected to the system. This study adjusts and validates two estimation models: battery state-of-charge model using ampere-hour counting method and battery charge voltage model. For the battery state-of-charge model, the SOC is estimated by integrating the charge/discharge current over time while the battery charge voltage characteristic response is modelled by using the equation-fit method which expresses the battery charge voltage variations by a 5th order polynomial in terms of the state-of-charge and current. These models are realized using the MATLAB program. The battery charge voltage model is corrected for errors which may result from reduced charge voltage due to variation of solar radiation using the battery state-of-charge model. Moreover, the starting SOC needed in the state-of-charge model is estimated using the charge voltage model. The accuracies of the models are verified using various laboratory experiments.
An electric circuit model for a lithium-ion battery cell based on automotive ...IJECEIAES
This document presents an electric circuit model for a lithium-ion battery cell based on measurements from automotive drive cycles. The model uses a second-order Thevenin circuit with parameters estimated from voltage and current measurements taken during various driving cycles. Two algorithms, Trust-Region-Reflective and Levenberg-Marquardt, were tested and Levenberg-Marquardt performed better with fewer iterations. The model was validated against measurements using mean squared error and showed good performance for urban and suburban driving cycles.
The document provides an overview of the key components of polymer electrolyte membrane fuel cells (PEMFCs). PEMFCs are considered promising for commercialization due to their high energy efficiency and low emissions. However, cost and durability remain challenges. The performance and cost of PEMFCs depend largely on two key materials - the proton-conducting membrane and the electrocatalysts. The document discusses these components in detail, focusing on the properties required of membrane materials, such as high proton conductivity and chemical/thermal stability. It also reviews efforts to develop high-performance, cost-effective electrocatalysts with reduced platinum content.
A BATTERY CHARGING SYSTEM & APPENDED ZCS (PWM) RESONANT CONVERTER DC-DC BUCK:...ELELIJ
This document summarizes a research paper that proposes a novel battery charging system using a zero-current switching pulse width modulation resonant converter DC-DC buck topology. The system aims to achieve high charging efficiency with minimal switching losses and reduced circuit volume. It operates by switching the circuit with zero-current switching and resonant components to reduce losses and switching stress. The paper analyzes the operating principle and design of the proposed system through 5 modes of operation. Simulation results show the system achieves around 89% charging efficiency, demonstrating satisfactory performance.
A battery charging system & appended zcs (pwm) resonant converter dc dc buck ...hunypink
This paper presents technique for battery charger to achieve efficient performance in charging shaping,
minimum low switching losses and reduction in circuit volume .The operation of circuit charger is switched
with the technique of zero-current-switching, resonant components and append the topology of dc-dc buck.
The proposed novel dc-dc battery charger has advantages with the simplicity, low cost, high efficiency and
with the behaviour of easy control under the ZCS condition accordingly reducing the switching losses. The
detailed study of operating principle and design consideration is performed. A short survey of battery
charging system, capacity demand & its topologies is also presented. In order to compute LC resonant pair
values in conventional converter, the method of characteristic curve is used and electric function equations
are derived from the prototype configuration. The efficient performance of charging shaping is confirmed
through the practical examines and verification of the results is revealed by the MATLAB simulation. The
efficiency is ensured about 89% which is substantially considered being satisfactory performance as
achieved in this paper.
Electric vehicle range is very important while designing an electric vehicle energy
storage system. So an energy storage system must be designed according to the
vehicle power, torque required and speed of the vehicle. So the capacity and energy
must be according to vehicle parameters. But there will be range anxiety i.e. the
discharge time of the battery is a problem. Due to load variations and speed
variations battery will drain fully before the expected time which is calculated
theoretically. So to avoid this problem a new method is introduced in this paper. In
this method the total energy requirement is calculated including the efficiency factor.
Then an extra percentage is added to that and the total energy storage system capacity
is fixed. Then the total energy storage system is split in to two as main battery pack
and auxiliary pack. Then the first part is allowed to charge fully and the next part is
charged through solar panel pasted on the car body. After the charging of first part
the car is started and allowed to move. When the SoC has discharged fully, main pack
is cut off and the auxiliary pack is ON, simultaneously the main pack is charged. This
strategy will help to improve the range of electric vehicle when compared to a vehicle
without solar panel and only single set of battery pack
IRJET- Modeling, Simulation and Control of a Photovoltaic Energy System w...IRJET Journal
The document presents a photovoltaic (PV) energy system with a fuel cell backup to ensure continuous operation of connected loads. The PV array normally powers the loads when solar irradiance is within its nominal range. When irradiance falls below a threshold, the fuel cell takes over to feed the loads. The proposed hybrid system is simulated in MATLAB/Simulink. Results show the system can efficiently address the intermittent nature of PV power by integrating a fuel cell backup.
Harvesting in electric vehicles: Combining multiple power tracking and fuel-c...IJECEIAES
This document summarizes a research article that proposes a power electronic platform and energy management strategy (EMS) to harvest energy from multiple sources in electric vehicles. The platform allows simultaneous operation of sources like solar panels, fuel cells, energy-generating dampers, and others. The EMS aims to minimize degradation of the battery bank and fuel cell by filtering current transients and ensuring sources operate at their maximum power points. A mathematical model of the platform is presented and stability analysis was performed. Numerical, hardware-in-the-loop, and experimental validations supported the effectiveness of the approach.
Design of charging station for electric vehicle batteriesIJAEMSJORNAL
With the increasing requirement in green technologies in transportation, electric vehicles have proven to be the best short-term solution to reduce greenhouse gas emissions. The conventional vehicle drivers are still unwilling in using such a new technology, mainly because of the time duration (4-8 hours) required to charge the electric vehicle batteries with the currently existing Level I and II charging station. For this reason, Level III fast- charging stations capable of reducing the charging duration to 10-15 minutes are being designed and developed. The present thesis focuses on the design of a fast-charging station for electric vehicle, in addition to the electrical grid, two stationary energy storage devices flywheel energy storage and a super capacitor is being used. Power electronic converters used for the interface of the energy sources with the charging stations are designed. The design development also focuses on the energy management that will minimize the battery charging time. For this reason, an algorithm that minimizes durations with its mathematical formulation is required, and its application in fast charging will be illustrated.
A Study on PHERB Powertrain Modeling and AnalysisIJECEIAES
A study on plug-in hybrid electric recreational boat (PHERB) powertrain with a special energy management strategy modeling and analysis was presented in this paper. Firstly, the boat components are sized to meet the expected power and energy requirements through a power flow analysis. Then, the model is tested numerically in the MATLAB/SIMULINK environment using the existing driving cycle. The accuracy of the model is verified by a comparison of the component between the simulation results from PHERB and advanced vehicle simulator (ADVISOR) software. The simulation results of component, fuel economy and emission of PHERB and hybrid electric vehicle models in ADVISOR are compared.
College of technology and engineering, udaipur 12toshik audichya
The document summarizes a seminar on developing a strategy to increase the service life of batteries used in hybrid electric vehicles. It discusses objectives such as developing a dynamic model of an HEV and a strategy to extend battery life under different operating conditions. It reviews literature on energy management strategies for HEVs and types of stationary batteries. The proposed work schedule includes modeling the HEV, developing a fuzzy logic-based predictive algorithm to control battery usage, and analyzing results. The importance of increasing battery service life for adoption of electric vehicles is also highlighted.
TechEnvince - Analysis of Implementing the Electric Bus and its Coordnation w...Vivek Gunawat
This work was part of Research Work that we did under the Guidance of Dr. Praveen Kumar, Dept of EEE , IIT Guwahati from Feb'12 - May-2012.
The Paper was then Published in IEEE Indiconn 2012, Kochin, Kerela as Conference Proceedings.
This document describes a proposed hybrid renewable energy power system that uses multiple energy sources (photovoltaic, wind, fuel cell, battery) along with a motor-generator set and diesel engine for power generation. An energy management and control unit using a programmable logic controller is also proposed to optimize the utilization of the various energy sources. The system is designed to operate in both islanding and grid-connected modes. Modeling and simulation of the system components was performed in MATLAB/Simulink to validate the effectiveness of the proposed system design.
Experimental study on transient response of fuel celljournalBEEI
This research work discusses a control strategy to enhance the transient response of the fuel cell and boost the real and reactive power flow from grid connected to fuel cell. The current output of the fuel cell depends on the availability of hydrogen in the fuel cell stack, a battery bank is implemented to supply the transient current and to prevent it from hydrogen saturation. The battery should only supply when there is a transient. During steady state the total power is produced by the fuel cell by regulating its hydrogen input. A prototype of the system will be created to study a control scheme which regulates the current from an input source and a battery which is connected to a dc motor. The control philosophy is based on d-q transformation and subsequently generating a reference signal that is tracked by an IGBT based inverter. The speed of the motor is controlled using pulse with modulation. The dynamic modeling of the standalone fuel cell that is connected to a dc motor is carried out using MATLAB/SIMULINK platform. The simulation results show that the control scheme works well, although the dynamic response of the system can be improved. The testing carried on the prototype proves that the concept works well, but a hydrogen control scheme should be developed to improve the efficiency of the control scheme.
Control of Battery Charger for Electric VehiclesIJAEMSJORNAL
This document presents a control method for an electric vehicle battery charger. It begins by discussing the increasing development of electric vehicles and importance of effective battery charging systems. It then describes the typical components and operation of a battery charger system that converts AC power from the grid to DC power for charging the battery pack. The presented control method regulates voltage and current during charging in two stages - a constant current stage followed by a constant voltage stage. Simulation results on MATLAB/Simulink validate that this control method can effectively charge the battery pack while achieving a high power factor from the grid.
Standalone photovoltaic array fed induction motor driven water pumping system IJECEIAES
Due to the absence of energy transmission lines connected to the water pumping sites in remote areas, problems related to the electrical power outages and the environmental degradation caused by fossil fuel. For this one of the most conceived solutions is the photovoltaic water pumping technology which has the advantage of being sustainable and respectful of the environment to supply water to rural areas. To ensure the need of water, especially for domestic use and small communities, in this article, the photovoltaic energy system for autonomous water pumping using the induction motor was presented, particularly adapted to the isolated regions. Pumping system consists of four photovoltaic (PV) panels, boost converter, inverter, induction motor, centrifugal pump and a storage tank. In this study, the output power of a PV solar cell is fully used by proposing the P&O algorithm, where it is used to follow a maximum power point tracking (MPPT) technique. The recommended system is designed, modeled and simulated on the MATLAB / Simulink platform. The efficiency of the proposed algorithm is observed with variable solar sunshine.
Fuel cell vehicle projects in texas richard thompson - oct 2010cahouser
The document discusses several hydrogen fuel cell vehicle projects in Texas, including:
1) A test of a 22-passenger hydrogen fuel cell electric shuttle bus that achieved up to 200 miles of range. Data was collected on performance over 8000 miles.
2) Modeling of fuel cell vehicles and their efficiencies compared to diesel and gasoline vehicles.
3) A hydrogen fueling station in Austin that provides fuel for additional vehicles.
4) A Department of Defense program to extend the range of an electric utility vehicle to over 300 miles using hydrogen fuel cells.
Conventional Braking System
Introduction OfRegenerative Braking System
Necessity Of The System
Elements Of Regenerative Braking System
Different Types Of Regenerative Braking System
Advantages And Disadvantages
Research Papers
Conclusion
Future Scope
References
Explains roles of battery storage on the grid. Concepts like Peak shaving, frequency regulation, renewables time-shift, chp integration, etc. have been briefly touched upon. Energy Storage Technologies overview is covered as well.
This document describes the design of a solar-powered car. It discusses the use of solar energy as a renewable energy source and describes the key components of the car's design, including the solar panels, batteries, motors, and mechanical design. Specifically, it provides details on:
1) The selection of a 12V 5Ah lead-acid battery based on calculations of the car's power requirements to accelerate over 15 minutes.
2) The selection of a 7W solar panel based on specifications of open circuit voltage, short circuit current, maximum power voltage, and efficiency.
3) The mechanical design calculations to determine the required torque of 2.8 Nm for the motors, leading to the selection of high
The document discusses electrochemical energy storage and its importance for alternative energy applications. It outlines some key challenges with energy storage, including the need for devices with high power and energy capabilities, long life, fast charging, and portability. The author proposes using hybrid energy storage systems that integrate multiple device types to optimize performance for different applications and timescales. The remainder of the document focuses on lithium-ion battery limitations and using mechanical models to understand capacity fade through stresses induced during operation.
The document discusses battery management systems (BMS). It explains that a BMS monitors and controls batteries to ensure safe and optimal use by performing functions like cell protection, charge control, state of charge and health determination, and cell balancing. It provides examples of BMS applications in intelligent batteries, battery storage power stations, and automotive battery management systems.
Design of an Intelligent Battery Management System (BMS)Aneeshan Sain
This document describes the design of an intelligent battery management system (BMS) for solar photovoltaic (PV) systems. It discusses the need for a BMS to optimize battery usage, minimize damage, and enhance reliability. It then outlines the major subsystems of the BMS, including the solar PV array, DC-DC converter, battery, and controller. Mathematical models of these subsystems were created in MATLAB, including models of the solar PV array, DC-DC converter, lithium-ion battery charging characteristics, and state of charge estimation. Simulation results demonstrating 2-stage and 3-stage constant-current constant-voltage charging are presented. Future work planned includes improving the charge controller and adding maximum power point tracking
THE CENTRAL QUESTION ...
Since the battery is pivotal to my EV, what are the core issues that will allow me to understand battery technology?
COURSE ABSTRACT
A discussion of battery components and fabrication approach, the reasons that building higher capacity batteries are constrained by geometry and technological factors, the key characteristics to assess when comparing battery chemistries, and new battery tech that may lead to significant improvements in those characteristics. To obtain a copy of the EVU study guide for this and other available EVU courses, please complete the form on this page.
Course level: Intermediate
This ppt is on regenerative braking in electric vehicle.Electric vehicles, or EVs for short, are becoming more and more popular as an alternative to traditional gasoline-powered cars. These cars are powered by an electric motor that is run on electricity stored in rechargeable batteries, rather than by burning fossil fuels. The batteries are typically lithium-ion, which is the same type of battery found in smartphones and laptops.
The first electric cars were developed in the mid-19th century, but it wasn't until the late 20th century that they began to be developed on a larger scale. The biggest factor driving the development of EVs has been concern over the environmental impact of gasoline-powered vehicles. While gasoline-powered cars produce emissions such as carbon dioxide, nitrogen oxides, and particulate matter, EVs produce zero tailpipe emissions, meaning that they do not contribute to air pollution.
There are two main types of electric vehicles: battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs). BEVs run entirely on electricity and have no gasoline engine, while PHEVs have both an electric motor and a gasoline engine, allowing them to run on electricity for short distances before switching to gasoline for longer trips.
The biggest advantage of electric vehicles is their environmental impact. By producing zero tailpipe emissions, EVs help to reduce air pollution and greenhouse gas emissions. This is especially important as the transportation sector is one of the largest contributors to greenhouse gas emissions globally. EVs also reduce dependence on oil and can help to stabilize fuel prices.
Another advantage of electric vehicles is their lower operating costs. While the upfront cost of an electric vehicle is typically higher than a gasoline-powered car, the cost of fueling and maintaining an EV is lower. Electricity is cheaper than gasoline, and EVs require less maintenance than traditional cars because they have fewer moving parts.
One of the biggest challenges facing electric vehicles is range anxiety. Unlike gasoline-powered cars, which can be refueled in a matter of minutes, electric vehicles require charging, which can take hours. This means that drivers must carefully plan their trips to ensure that they have enough charge to get to their destination. However, advances in battery technology are making it possible for EVs to travel further on a single charge, reducing range anxiety.
Another challenge facing electric vehicles is the availability of charging infrastructure. While gasoline stations are ubiquitous, charging stations are still relatively rare, especially in rural areas. However, governments and private companies are working to install more charging stations to make it easier for EV drivers to charge their cars.
Despite these challenges, the popularity of electric vehicles is increasing rapidly.
Hybrid Electric Vehicle Charging by Solar Panel using of SupercapacitorsYogeshIJTSRD
In recent years, the demand for electric EV has increased drastically because of the rising pollution from emissions into the atmosphere in recent years. EV’s have simpler architecture, lower noise levels, better stability, and, most significantly, they safeguard the environment. Rapidly increasing population, energy consumption, and the need to reduce emissions through the conventional vehicle have motivated researchers to study the electric hybrid vehicles EHVs . In normal scenario in INDIA in electric vehicles like E cabs and E cars conventional battery is used and the real drawback of conventional batteries is that it drained out fast when used with full capacity and rechargeable is time significantly high usually 7 to 8 hours. A large number of methods have already been already proposed by various researchers that can solve the problem, however, these systems were not efficient enough for draining out the charging in EV. In order to overcome the limitation rapid discharge and slow recharge supercapacitors can be very significant solution of this problems. Using of solar panel is precure our environment which can be most important thing in this developing and growing world the use of solar in vehicle and using electric cars can be safeguard of our society and we can be free from using petroleum fuels which are limited and world can be made safer for our upcoming generations. supercapacitor used as additional energy storage for hybrid wind and photovoltaic system. It charges energy when it is windy or sunny and discharges when there is no power generated from photovoltaic or wind due to the sudden passing clouds disturbance or very low wind speed. Hence, it is necessary to understand the characteristics of the supercapacitor and determine these different electric models. Satya Veer Singh | Poonam Kumari "Hybrid Electric Vehicle Charging by Solar Panel using of Supercapacitors" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd45037.pdf Paper URL: https://www.ijtsrd.com/engineering/other/45037/hybrid-electric-vehicle-charging-by-solar-panel-using-of-supercapacitors/satya-veer-singh
A Review of Hybrid Battery Management System (H-BMS) for EVTELKOMNIKA JOURNAL
Significant to a major pollution contributor in passenger vehicles, electric vehicles are more
acceptable to use on the road. Electric Vehicles (EVs) burn energy based on the usage of the battery. The
usage of the battery in EVs is monitored and controlled by Battery Management System (BMS). A few
factors monitor and control Battery Management System (BMS). This paper reviewed the battery charging
technology and Remote Terminal Unit (RTU) development as a Hybrid Battery Management System (HBMS)
for Electric Vehicle (EV).
Electric vehicle range is very important while designing an electric vehicle energy
storage system. So an energy storage system must be designed according to the
vehicle power, torque required and speed of the vehicle. So the capacity and energy
must be according to vehicle parameters. But there will be range anxiety i.e. the
discharge time of the battery is a problem. Due to load variations and speed
variations battery will drain fully before the expected time which is calculated
theoretically. So to avoid this problem a new method is introduced in this paper. In
this method the total energy requirement is calculated including the efficiency factor.
Then an extra percentage is added to that and the total energy storage system capacity
is fixed. Then the total energy storage system is split in to two as main battery pack
and auxiliary pack. Then the first part is allowed to charge fully and the next part is
charged through solar panel pasted on the car body. After the charging of first part
the car is started and allowed to move. When the SoC has discharged fully, main pack
is cut off and the auxiliary pack is ON, simultaneously the main pack is charged. This
strategy will help to improve the range of electric vehicle when compared to a vehicle
without solar panel and only single set of battery pack
IRJET- Modeling, Simulation and Control of a Photovoltaic Energy System w...IRJET Journal
The document presents a photovoltaic (PV) energy system with a fuel cell backup to ensure continuous operation of connected loads. The PV array normally powers the loads when solar irradiance is within its nominal range. When irradiance falls below a threshold, the fuel cell takes over to feed the loads. The proposed hybrid system is simulated in MATLAB/Simulink. Results show the system can efficiently address the intermittent nature of PV power by integrating a fuel cell backup.
Harvesting in electric vehicles: Combining multiple power tracking and fuel-c...IJECEIAES
This document summarizes a research article that proposes a power electronic platform and energy management strategy (EMS) to harvest energy from multiple sources in electric vehicles. The platform allows simultaneous operation of sources like solar panels, fuel cells, energy-generating dampers, and others. The EMS aims to minimize degradation of the battery bank and fuel cell by filtering current transients and ensuring sources operate at their maximum power points. A mathematical model of the platform is presented and stability analysis was performed. Numerical, hardware-in-the-loop, and experimental validations supported the effectiveness of the approach.
Design of charging station for electric vehicle batteriesIJAEMSJORNAL
With the increasing requirement in green technologies in transportation, electric vehicles have proven to be the best short-term solution to reduce greenhouse gas emissions. The conventional vehicle drivers are still unwilling in using such a new technology, mainly because of the time duration (4-8 hours) required to charge the electric vehicle batteries with the currently existing Level I and II charging station. For this reason, Level III fast- charging stations capable of reducing the charging duration to 10-15 minutes are being designed and developed. The present thesis focuses on the design of a fast-charging station for electric vehicle, in addition to the electrical grid, two stationary energy storage devices flywheel energy storage and a super capacitor is being used. Power electronic converters used for the interface of the energy sources with the charging stations are designed. The design development also focuses on the energy management that will minimize the battery charging time. For this reason, an algorithm that minimizes durations with its mathematical formulation is required, and its application in fast charging will be illustrated.
A Study on PHERB Powertrain Modeling and AnalysisIJECEIAES
A study on plug-in hybrid electric recreational boat (PHERB) powertrain with a special energy management strategy modeling and analysis was presented in this paper. Firstly, the boat components are sized to meet the expected power and energy requirements through a power flow analysis. Then, the model is tested numerically in the MATLAB/SIMULINK environment using the existing driving cycle. The accuracy of the model is verified by a comparison of the component between the simulation results from PHERB and advanced vehicle simulator (ADVISOR) software. The simulation results of component, fuel economy and emission of PHERB and hybrid electric vehicle models in ADVISOR are compared.
College of technology and engineering, udaipur 12toshik audichya
The document summarizes a seminar on developing a strategy to increase the service life of batteries used in hybrid electric vehicles. It discusses objectives such as developing a dynamic model of an HEV and a strategy to extend battery life under different operating conditions. It reviews literature on energy management strategies for HEVs and types of stationary batteries. The proposed work schedule includes modeling the HEV, developing a fuzzy logic-based predictive algorithm to control battery usage, and analyzing results. The importance of increasing battery service life for adoption of electric vehicles is also highlighted.
TechEnvince - Analysis of Implementing the Electric Bus and its Coordnation w...Vivek Gunawat
This work was part of Research Work that we did under the Guidance of Dr. Praveen Kumar, Dept of EEE , IIT Guwahati from Feb'12 - May-2012.
The Paper was then Published in IEEE Indiconn 2012, Kochin, Kerela as Conference Proceedings.
This document describes a proposed hybrid renewable energy power system that uses multiple energy sources (photovoltaic, wind, fuel cell, battery) along with a motor-generator set and diesel engine for power generation. An energy management and control unit using a programmable logic controller is also proposed to optimize the utilization of the various energy sources. The system is designed to operate in both islanding and grid-connected modes. Modeling and simulation of the system components was performed in MATLAB/Simulink to validate the effectiveness of the proposed system design.
Experimental study on transient response of fuel celljournalBEEI
This research work discusses a control strategy to enhance the transient response of the fuel cell and boost the real and reactive power flow from grid connected to fuel cell. The current output of the fuel cell depends on the availability of hydrogen in the fuel cell stack, a battery bank is implemented to supply the transient current and to prevent it from hydrogen saturation. The battery should only supply when there is a transient. During steady state the total power is produced by the fuel cell by regulating its hydrogen input. A prototype of the system will be created to study a control scheme which regulates the current from an input source and a battery which is connected to a dc motor. The control philosophy is based on d-q transformation and subsequently generating a reference signal that is tracked by an IGBT based inverter. The speed of the motor is controlled using pulse with modulation. The dynamic modeling of the standalone fuel cell that is connected to a dc motor is carried out using MATLAB/SIMULINK platform. The simulation results show that the control scheme works well, although the dynamic response of the system can be improved. The testing carried on the prototype proves that the concept works well, but a hydrogen control scheme should be developed to improve the efficiency of the control scheme.
Control of Battery Charger for Electric VehiclesIJAEMSJORNAL
This document presents a control method for an electric vehicle battery charger. It begins by discussing the increasing development of electric vehicles and importance of effective battery charging systems. It then describes the typical components and operation of a battery charger system that converts AC power from the grid to DC power for charging the battery pack. The presented control method regulates voltage and current during charging in two stages - a constant current stage followed by a constant voltage stage. Simulation results on MATLAB/Simulink validate that this control method can effectively charge the battery pack while achieving a high power factor from the grid.
Standalone photovoltaic array fed induction motor driven water pumping system IJECEIAES
Due to the absence of energy transmission lines connected to the water pumping sites in remote areas, problems related to the electrical power outages and the environmental degradation caused by fossil fuel. For this one of the most conceived solutions is the photovoltaic water pumping technology which has the advantage of being sustainable and respectful of the environment to supply water to rural areas. To ensure the need of water, especially for domestic use and small communities, in this article, the photovoltaic energy system for autonomous water pumping using the induction motor was presented, particularly adapted to the isolated regions. Pumping system consists of four photovoltaic (PV) panels, boost converter, inverter, induction motor, centrifugal pump and a storage tank. In this study, the output power of a PV solar cell is fully used by proposing the P&O algorithm, where it is used to follow a maximum power point tracking (MPPT) technique. The recommended system is designed, modeled and simulated on the MATLAB / Simulink platform. The efficiency of the proposed algorithm is observed with variable solar sunshine.
Fuel cell vehicle projects in texas richard thompson - oct 2010cahouser
The document discusses several hydrogen fuel cell vehicle projects in Texas, including:
1) A test of a 22-passenger hydrogen fuel cell electric shuttle bus that achieved up to 200 miles of range. Data was collected on performance over 8000 miles.
2) Modeling of fuel cell vehicles and their efficiencies compared to diesel and gasoline vehicles.
3) A hydrogen fueling station in Austin that provides fuel for additional vehicles.
4) A Department of Defense program to extend the range of an electric utility vehicle to over 300 miles using hydrogen fuel cells.
Conventional Braking System
Introduction OfRegenerative Braking System
Necessity Of The System
Elements Of Regenerative Braking System
Different Types Of Regenerative Braking System
Advantages And Disadvantages
Research Papers
Conclusion
Future Scope
References
Explains roles of battery storage on the grid. Concepts like Peak shaving, frequency regulation, renewables time-shift, chp integration, etc. have been briefly touched upon. Energy Storage Technologies overview is covered as well.
This document describes the design of a solar-powered car. It discusses the use of solar energy as a renewable energy source and describes the key components of the car's design, including the solar panels, batteries, motors, and mechanical design. Specifically, it provides details on:
1) The selection of a 12V 5Ah lead-acid battery based on calculations of the car's power requirements to accelerate over 15 minutes.
2) The selection of a 7W solar panel based on specifications of open circuit voltage, short circuit current, maximum power voltage, and efficiency.
3) The mechanical design calculations to determine the required torque of 2.8 Nm for the motors, leading to the selection of high
The document discusses electrochemical energy storage and its importance for alternative energy applications. It outlines some key challenges with energy storage, including the need for devices with high power and energy capabilities, long life, fast charging, and portability. The author proposes using hybrid energy storage systems that integrate multiple device types to optimize performance for different applications and timescales. The remainder of the document focuses on lithium-ion battery limitations and using mechanical models to understand capacity fade through stresses induced during operation.
The document discusses battery management systems (BMS). It explains that a BMS monitors and controls batteries to ensure safe and optimal use by performing functions like cell protection, charge control, state of charge and health determination, and cell balancing. It provides examples of BMS applications in intelligent batteries, battery storage power stations, and automotive battery management systems.
Design of an Intelligent Battery Management System (BMS)Aneeshan Sain
This document describes the design of an intelligent battery management system (BMS) for solar photovoltaic (PV) systems. It discusses the need for a BMS to optimize battery usage, minimize damage, and enhance reliability. It then outlines the major subsystems of the BMS, including the solar PV array, DC-DC converter, battery, and controller. Mathematical models of these subsystems were created in MATLAB, including models of the solar PV array, DC-DC converter, lithium-ion battery charging characteristics, and state of charge estimation. Simulation results demonstrating 2-stage and 3-stage constant-current constant-voltage charging are presented. Future work planned includes improving the charge controller and adding maximum power point tracking
THE CENTRAL QUESTION ...
Since the battery is pivotal to my EV, what are the core issues that will allow me to understand battery technology?
COURSE ABSTRACT
A discussion of battery components and fabrication approach, the reasons that building higher capacity batteries are constrained by geometry and technological factors, the key characteristics to assess when comparing battery chemistries, and new battery tech that may lead to significant improvements in those characteristics. To obtain a copy of the EVU study guide for this and other available EVU courses, please complete the form on this page.
Course level: Intermediate
This ppt is on regenerative braking in electric vehicle.Electric vehicles, or EVs for short, are becoming more and more popular as an alternative to traditional gasoline-powered cars. These cars are powered by an electric motor that is run on electricity stored in rechargeable batteries, rather than by burning fossil fuels. The batteries are typically lithium-ion, which is the same type of battery found in smartphones and laptops.
The first electric cars were developed in the mid-19th century, but it wasn't until the late 20th century that they began to be developed on a larger scale. The biggest factor driving the development of EVs has been concern over the environmental impact of gasoline-powered vehicles. While gasoline-powered cars produce emissions such as carbon dioxide, nitrogen oxides, and particulate matter, EVs produce zero tailpipe emissions, meaning that they do not contribute to air pollution.
There are two main types of electric vehicles: battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs). BEVs run entirely on electricity and have no gasoline engine, while PHEVs have both an electric motor and a gasoline engine, allowing them to run on electricity for short distances before switching to gasoline for longer trips.
The biggest advantage of electric vehicles is their environmental impact. By producing zero tailpipe emissions, EVs help to reduce air pollution and greenhouse gas emissions. This is especially important as the transportation sector is one of the largest contributors to greenhouse gas emissions globally. EVs also reduce dependence on oil and can help to stabilize fuel prices.
Another advantage of electric vehicles is their lower operating costs. While the upfront cost of an electric vehicle is typically higher than a gasoline-powered car, the cost of fueling and maintaining an EV is lower. Electricity is cheaper than gasoline, and EVs require less maintenance than traditional cars because they have fewer moving parts.
One of the biggest challenges facing electric vehicles is range anxiety. Unlike gasoline-powered cars, which can be refueled in a matter of minutes, electric vehicles require charging, which can take hours. This means that drivers must carefully plan their trips to ensure that they have enough charge to get to their destination. However, advances in battery technology are making it possible for EVs to travel further on a single charge, reducing range anxiety.
Another challenge facing electric vehicles is the availability of charging infrastructure. While gasoline stations are ubiquitous, charging stations are still relatively rare, especially in rural areas. However, governments and private companies are working to install more charging stations to make it easier for EV drivers to charge their cars.
Despite these challenges, the popularity of electric vehicles is increasing rapidly.
Hybrid Electric Vehicle Charging by Solar Panel using of SupercapacitorsYogeshIJTSRD
In recent years, the demand for electric EV has increased drastically because of the rising pollution from emissions into the atmosphere in recent years. EV’s have simpler architecture, lower noise levels, better stability, and, most significantly, they safeguard the environment. Rapidly increasing population, energy consumption, and the need to reduce emissions through the conventional vehicle have motivated researchers to study the electric hybrid vehicles EHVs . In normal scenario in INDIA in electric vehicles like E cabs and E cars conventional battery is used and the real drawback of conventional batteries is that it drained out fast when used with full capacity and rechargeable is time significantly high usually 7 to 8 hours. A large number of methods have already been already proposed by various researchers that can solve the problem, however, these systems were not efficient enough for draining out the charging in EV. In order to overcome the limitation rapid discharge and slow recharge supercapacitors can be very significant solution of this problems. Using of solar panel is precure our environment which can be most important thing in this developing and growing world the use of solar in vehicle and using electric cars can be safeguard of our society and we can be free from using petroleum fuels which are limited and world can be made safer for our upcoming generations. supercapacitor used as additional energy storage for hybrid wind and photovoltaic system. It charges energy when it is windy or sunny and discharges when there is no power generated from photovoltaic or wind due to the sudden passing clouds disturbance or very low wind speed. Hence, it is necessary to understand the characteristics of the supercapacitor and determine these different electric models. Satya Veer Singh | Poonam Kumari "Hybrid Electric Vehicle Charging by Solar Panel using of Supercapacitors" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd45037.pdf Paper URL: https://www.ijtsrd.com/engineering/other/45037/hybrid-electric-vehicle-charging-by-solar-panel-using-of-supercapacitors/satya-veer-singh
A Review of Hybrid Battery Management System (H-BMS) for EVTELKOMNIKA JOURNAL
Significant to a major pollution contributor in passenger vehicles, electric vehicles are more
acceptable to use on the road. Electric Vehicles (EVs) burn energy based on the usage of the battery. The
usage of the battery in EVs is monitored and controlled by Battery Management System (BMS). A few
factors monitor and control Battery Management System (BMS). This paper reviewed the battery charging
technology and Remote Terminal Unit (RTU) development as a Hybrid Battery Management System (HBMS)
for Electric Vehicle (EV).
The document describes the development of a comprehensive battery energy storage system model for grid analysis applications. The model simulates the real chemical and electrical reactions that occur within a battery. It accounts for how the battery's state of charge, internal resistance, voltage and other parameters change over time based on factors like current, temperature and depth of discharge. The model was built in Power Factory software and tested on small grid scenarios. Simulation results showed the battery storage system was able to reduce fluctuations in grid frequency and voltage when responding to changes in load. It also stabilized generator output and smoothed variations in grid current.
This document discusses developing an optimal control strategy for managing the energy usage in plug-in hybrid electric vehicles (PHEVs). It proposes formulating an optimal control problem and solving it using Pontryagin's minimum principle to determine the control policy. The strategy aims to minimize fuel consumption while allowing the battery to be depleted during vehicle operation. The strategy is evaluated using a simulation of a PHEV model that was developed and validated at The Ohio State University.
STUDY OF 1.26 KW – 24 VDC PROTON EXCHANGE MEMBRANE FUEL CELL’S (PEMFC’S) PARA...ecij
The eternally intensifying exigency for electrical energy and the mount in the electricity expenditures due to the recent transience of the oil charges over and above to the desensitizing of the air standard resulting from the ejections of the obtaining energy transmutation devices have amplified exploration into substitute renewable proveniences of electrical energy. In today, there are six antithetical types of fuel cell
technologies attainable – molten carbonate fuel cells; phosphoric acid fuel cells; solid oxide fuel cells; alkaline fuel cells; polymer electrolyte membrane fuel cells and direct methanol-air fuel cells. Polymer electrolyte membrane (PEM) fuel cells – also known proton exchange membrane fuel cells, which are one of the uncomplicated types of fuel cell. PEMFC’s output power is unpredicted on nonlinearly on its output voltage and current. The output current of a proton exchange membrane fuel cell stack relies on the load located on that particular stack. This paper presents a 1.26 kW -24 Vdc PEMFC system and DC – DC boost converter topology used in 1.26 kW PEM fuel cell to fortify that the zenith obtainable output power
from a PEM membrane fuel cell is distributed to a load during a power outage bridging the start-up time and to optimize the health of the fuel cell membrane stack. A 1.26 kW – 24 Vdc PEMFC system is considered in this study as well as investigate how the output behaves.
STUDY OF 1.26 KW – 24 VDC PROTON EXCHANGE MEMBRANE FUEL CELL’S (PEMFC’S) PARA...ecij
The eternally intensifying exigency for electrical energy and the mount in the electricity expenditures due
to the recent transience of the oil charges over and above to the desensitizing of the air standard resulting
from the ejections of the obtaining energy transmutation devices have amplified exploration into substitute
renewable proveniences of electrical energy. In today, there are six antithetical types of fuel cell
technologies attainable – molten carbonate fuel cells; phosphoric acid fuel cells; solid oxide fuel cells;
alkaline fuel cells; polymer electrolyte membrane fuel cells and direct methanol-air fuel cells. Polymer
electrolyte membrane (PEM) fuel cells – also known proton exchange membrane fuel cells, which are one
of the uncomplicated types of fuel cell. PEMFC’s output power is unpredicted on nonlinearly on its output
voltage and current. The output current of a proton exchange membrane fuel cell stack relies on the load
located on that particular stack. This paper presents a 1.26 kW -24 Vdc PEMFC system and DC – DC
boost converter topology used in 1.26 kW PEM fuel cell to fortify that the zenith obtainable output power
from a PEM membrane fuel cell is distributed to a load during a power outage bridging the start-up time
and to optimize the health of the fuel cell membrane stack. A 1.26 kW – 24 Vdc PEMFC system is
considered in this study as well as investigate how the output behaves.
Project Dissertation -Standardization of BEV Battery Module for circular econ...Othman Laraqui
This document summarizes a study on standardizing external features of battery electric vehicle (BEV) battery modules to increase feasibility of circular economy for batteries. The study analyzes literature on lithium-ion batteries, electric vehicles, and circular economy models. It proposes standards for electrical, cooling, interfacing, and packaging aspects of battery modules. The standards are intended to positively impact downstream stakeholders in battery reuse, remanufacturing and recycling after a battery's first life in a vehicle. Some negative impacts on upstream stakeholders are also possible. The study recommends quantification of costs and priorities to improve standardization efforts.
Implementation and Calculation of State of Charge for Electric VehiclesIRJET Journal
This document discusses various methods for estimating the state of charge (SOC) of lithium-ion batteries used in electric vehicles. It first provides background on the importance of accurately estimating SOC and challenges in doing so. It then reviews different modeling approaches (physical models, data-driven models, equivalent circuit models) and filtering techniques like the Kalman filter and Extended Kalman filter (EKF) that are often used with equivalent circuit models. Several research papers applying EKF approaches to SOC estimation are summarized. The document concludes the EKF provides a good balance between accuracy and complexity and is well-suited for SOC estimation applications.
Implementation and Calculation of State of Charge for Electric VehiclesIRJET Journal
This document discusses various methods for estimating the state of charge (SOC) of lithium-ion batteries used in electric vehicles. It first provides background on the importance of accurately estimating SOC and challenges in doing so. It then reviews different modeling approaches (physical models, data-driven models, equivalent circuit models) and filtering techniques like the Kalman filter and extended Kalman filter (EKF) that are often used with equivalent circuit models. Several research papers applying the EKF to SOC estimation are summarized. The document concludes the EKF is the best method for its ability to handle noise and provide accurate SOC estimation with low complexity.
This document summarizes and compares different energy management system optimization methods for DC microgrids. It first reviews related work that has analyzed EMS using techniques like genetic algorithms, particle swarm optimization, and other methods. It then presents mathematical models for key microgrid components like PV panels, batteries, and loads. Finally, it describes how the models are unified into an optimization problem and solved using the hybrid internal point method with genetic algorithms and particle swarm optimization to optimize energy flows and storage in the microgrid batteries. The results show these algorithms can intelligently manage energy to minimize battery charging/discharging and maximize storage life.
Simulink Model for Cost-effective Analysis of Hybrid SystemIJMER
This document summarizes a research paper that models and simulates hybrid power systems using MATLAB Simulink. The key points are:
1) The model simulates three cases - a diesel-only system, diesel with battery system, and a PV-diesel-battery hybrid system - to analyze cost effectiveness over one year.
2) Parameters like fuel consumption, energy per gallon, and total fuel costs are calculated and used to determine the energy payback period and simple payback time.
3) Simulation results are compared to predictions from HOMER software, finding differences in efficiencies and operational characteristics between the two models.
This document summarizes a student's research project comparing the performance of different battery types for electric vehicles under various temperature conditions using MATLAB simulation. The student aims to evaluate how temperature affects battery voltage, current, aging, and degradation. A hybrid car model will be simulated under different road and temperature conditions to analyze battery performance and suggest the best battery combination. Simulation results will provide insights into how temperature optimization can improve battery life and sustainability for electric vehicles.
Prioritizing Power demand response for Hydrogen PEMFCElectric Vehicles using ...IJECEIAES
PEMFC powered Hybrid vehicle system is one of an interesting issue for the industry due to its high performances. The PEMFC cannot certainly ensure a sustained required energy in some scenarios. To solve this problem related to PEMFC transient response, a Hybrid Electrical Storage System (HES) is a potential candidate for a solution. The proposed Hybrid Storage system is comprised of the battery (BT) and a Super-Capacitor (SC) components. These components are included to control the hydrogen variations and the fast peak powers scenarios respectively. The SC is used to control PEMFC and the BT slow dynamics at the same times. An accurate Multi-Ways Energy Management System (MW-EMS) is proposed which aims to cooperate with the system components through SC/BT state of charge and a flux calculation. The simulation results are discussed and assessed using MATLAB/ Simulink.
Energy Management System in Electric Vehicle with PV Fed SRM SystemIJMTST Journal
This project presents the switched reluctance motor (SRM) with hybrid renewable system. Switched
Reluctance Motors (SRM) has a wide range of industrial applications because of their advantages over
conventional AC/DC Drives. This is due to simple construction, ruggedness and inexpensive manufacturing
potential. Various methods have used and applied to control SRM speed generally, the PV-fed EV has a
similar structure to the hybrid electrical vehicle, whose internal combustion engine(ICE) is replaced by the
hybrid system. A hybrid energy system, or hybrid power, usually consists of two or more renewable energy
sources used together to provide increased system efficiency as well as greater balance in energy supply.
The PV has different characteristics to ICEs, the maximum power point tracking (MPPT) and solar energy
utilization are the unique factors for the PV-fed EVs. This matter is done by applying the proposed system to
a multi-objective function including both speed error and torque ripple. This controller is implemented for an
8/6, 4-kW SRM. In this paper to coordinate the PV panel, SRM and battery. Hybrid renewables applied in
Energy storage like battery technologies, superconducting magnetic energy, capacitors, compressed air and
pumped storage, seems to be an alternative method that the operator of an electrical power grid can use to
adapt energy production to energy consumption, both of which can vary randomly over time. The simulation
results confirm excellent dynamic performance, reduced torque ripple and current oscillation can be achieved
by using ANFIS
Design and Modeling of Grid Connected Hybrid Renewable Energy Power GenerationIJERA Editor
This paper proposes a design and modeling of grid connected hybrid renewable energy power generation. The
energy system having a photo voltaic (PV) panel, Srg wind turbine and fuel cell (sofc) for continuous power
flow management. Fuel cells (storage & generating) are added to ensure uninterrupted power supply due to the
discontinuous nature of solar and wind resources. Renewable energy generated during times of plenty can be
stored for use during periods when sufficient electricity is not available. But storing this energy is a difficult
task: batteries and similar technologies perform well over short timescales, but over periods of weeks or months
a different approach is necessary. Energy storage in the form of hydrogen is one such possibility: excess
electricity is fed into an electrolyser to split water into its constituent parts, oxygen and hydrogen. The hydrogen
is then used in fuel cells to produce electricity when needed which will overcome the problem of storage. This
work is mainly concentrated on the design, analysis and modelling of Fuel cells and Analysis and modelling of
Switched Reluctance Generator (SRG) in the application of Wind Energy Generation and pv cell. Also an
effective approach is proposed in this thesis to ensure renewable energy diversity and effective utilization. The
pv cell, wind and fuel cell renewable energy system is digitally simulated using the MATLAB/SIMULINK
software environment and fully validated for efficient energy utilizations and enhanced interface power quality
under different operating conditions and load excursions
A Case Study on Hybrid Electric Vehicles.pdfbagulibibidh
A Hybrid Electric Vehicle (HEV) is a modern combination of an internal combustion
engine (ICE) and an electric propulsion system (hybrid drivetrain). The electric
powertrain is used in an HEV to achieve better fuel economy than a conventional
vehicle for better performance. HEVs can be classified according to powertrain,
hybridization, and Energy Management Systems (EMS). Modern HEVs use energy-
efficiency technologies such as regenerative braking that converts the vehicles kinetic
energy into electric energy that is stored in battery or supercapacitors. The battery is
connected to an ECU (Electronic Control Unit) and a BMS (Battery Management
System). To maintain the cooling of the engine and BMS it is connected to a coolant.
In this case study we are going to study about the following things in an HEV :-
1. Hybrid Electric Vehicle (HEV) subsystems
2. Toyota Prius Powertrain
3. Transmission system in HEV
4. Use of Brushless DC Motor (BLDC) and Permanent Magnet Synchronous Motor
(PMSM)
5. The steering system
6. Braking system in HEV with regeneration
7. Suspension system with construction, working, type and necessity
Shobin John completed a course in FRP Composites Engineering and Manufacturing held at Högskolan In Halmstad Sweden between 2015 week 45 and 2016 week 11. The course was instructed by Carl-Johan Lindholm and Håkan Johansson of CCG Europe.
This document summarizes an experiment that used Taguchi methods to optimize diesel engine parameters to reduce NOx emissions and improve fuel economy. A single cylinder diesel engine was tested across four levels of five parameters: clearance volume, valve opening pressure, injection timing, nozzle hole area, and load torque. Testing was conducted according to an orthogonal array experimental design. Results showed that valve opening pressure, clearance volume, and injection timing had the greatest impact on NOx emissions and fuel consumption. Optimal parameter settings were identified that minimized both NOx emissions and fuel consumption. A confirmation test found good agreement between predicted and actual results.
Just nu pågår ett flertal rekryteringar till Krohne Inor. De är inne i en positiv tillväxtfas med framgångar inom
både nationella och internationella projekt. Tillsammans med koncernledningen har de satt mål för vidare
expansion av Krohne Inor så att nya krav från deras kunder kan bemötas och ge nya framgångar.
Krohne Inor är framför allt i behov av att förstärka sina teknikresurser för att exekvera avancerade projekt i
internationell miljö samtidigt som de har ett utvecklingsprogram med många produktprojekt framför sig. De
pågående rekryteringarna är ett steg för att föra företaget vidare i deras internationella expansion.
Vi ser fram mot att få träffa dig som söker en utmaning i ett teknikföretag med stor teamanda och hög dynamik
som skapar utveckling för både företaget och deras medarbetare.
This document provides a summary of chapters from a book on quality management. It discusses definitions of quality, the history and importance of quality, and various quality philosophies and frameworks. It summarizes chapters on total quality in organizations, focusing on customers, leadership and strategic planning, and developing a high performance workforce. The overall document aims to convey key concepts from each chapter in evaluating approaches to quality management.
The PESTEL analytical tool normally conducted from a Chevalier perspective (Fig ) to help plan for future direction based on macro-environmental factors. The framework consists of six main macro-environmental influences political, economic, social, technological, environmental and legal Johnson, Scholes and Whittington (2008). Ihsan (2012) mentions that it is not possible for a company to survive in the long run without knowledge of the changes in their macro-environment.
The document is a mechanical engineering student's design notebook containing various homework assignments and exercises. It includes reflections on studying the design process, exercises on generating ideas for producing electricity and moving vehicles without engines, and a homework assignment to read the ASME Code of Ethics.
This certificate certifies that the recipient has completed the Sandvik Coromant Academy Knowledge Test: Metal Cutting Technology E-learning program. The program covered fundamentals of metal cutting, application areas, choosing the right cutting tool, production economics, improving productivity and profitability, cutting data formulas, optimizing tool life, tool wear identification and remedies, and solving metal cutting problems. The program was developed by Sandvik Coromant based on production needs worldwide and aims to help customers improve profitability through improved metal cutting competence.
The document analyzes surface roughness profiles for different cutoff values of 0.8, 2.5, and 8. Tables show that as the cutoff value increases from 0.8 to 2.5 to 8, the waviness (Wa, Wq, Wz) decreases slightly while the roughness (Ra, Rq, Rz) increases slightly. Charts of the surface profiles are also provided for each of the cutoff values.
The document describes the design and optimization of an airplane bearing bracket using Inspire software. The initial design was optimized to reduce the mass by 23% while meeting the design envelope requirements and withstanding three load cases. Modifications made during optimization included allowing movement of fastener footprints and modifying cross-sectional changes. The final optimized design had a mass of 228 grams and stress levels under 100% of the yield stress. The bracket is intended to be manufactured using additive manufacturing.
The document discusses material selection for a disc clutch component in a bicycle flywheel project. It describes using Ashby's material selection method and the CES EduPack software to rank material attributes and select materials based on charts plotting hardness vs specific heat, price vs specific heat, and machinability vs price. This led to selecting cast aluminum alloy as it met desired criteria of hardness, price, heat capacity and machinability. High carbon steel and aluminum/silicon carbide composite were identified as alternative materials.
This master's thesis examines the surface topography of cutting inserts through two work packages. In work package one, uncoated inserts from three variants are analyzed to determine the best parameters for comparison and if the topography correlates with the manufacturing process. In work package two, coated inserts from five variants are studied to understand how the coating outcome relates to pre-treatment and what measurement approach is needed. Statistical analysis methods like average and standard deviation, Spearman's correlation, and ANOVA/t-tests are used to evaluate the surface roughness parameters and compare the variants. The goal is to develop an approach for Sandvik Coromant to characterize different surface textures.
This master's thesis investigates the surface topography of cutting inserts using two work packages. In work package 1, three variants of uncoated inserts were analyzed and it was found that variant MSG158 had the most texture while MSG160 was smoothest. In work package 2, five coated variants were examined and variants MSG189 and MSG187 showed the highest texture. Parameters like average height and void volume were selected to characterize the topography and compare the variants. Future work involves machining tests and analyzing texture propagation between the two work packages.
Expanding Access to Affordable At-Home EV Charging by Vanessa WarheitForth
Vanessa Warheit, Co-Founder of EV Charging for All, gave this presentation at the Forth Addressing The Challenges of Charging at Multi-Family Housing webinar on June 11, 2024.
Charging Fueling & Infrastructure (CFI) Program by Kevin MillerForth
Kevin Miller, Senior Advisor, Business Models of the Joint Office of Energy and Transportation gave this presentation at the Forth and Electrification Coalition CFI Grant Program - Overview and Technical Assistance webinar on June 12, 2024.
Charging and Fueling Infrastructure Grant: Round 2 by Brandt HertensteinForth
Brandt Hertenstein, Program Manager of the Electrification Coalition gave this presentation at the Forth and Electrification Coalition CFI Grant Program - Overview and Technical Assistance webinar on June 12, 2024.
EV Charging at MFH Properties by Whitaker JamiesonForth
Whitaker Jamieson, Senior Specialist at Forth, gave this presentation at the Forth Addressing The Challenges of Charging at Multi-Family Housing webinar on June 11, 2024.
Welcome to ASP Cranes, your trusted partner for crane solutions in Raipur, Chhattisgarh! With years of experience and a commitment to excellence, we offer a comprehensive range of crane services tailored to meet your lifting and material handling needs.
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Charging Fueling & Infrastructure (CFI) Program Resources by Cat PleinForth
Cat Plein, Development & Communications Director of Forth, gave this presentation at the Forth and Electrification Coalition CFI Grant Program - Overview and Technical Assistance webinar on June 12, 2024.
Implementing ELDs or Electronic Logging Devices is slowly but surely becoming the norm in fleet management. Why? Well, integrating ELDs and associated connected vehicle solutions like fleet tracking devices lets businesses and their in-house fleet managers reap several benefits. Check out the post below to learn more.
Understanding Catalytic Converter Theft:
What is a Catalytic Converter?: Learn about the function of catalytic converters in vehicles and why they are targeted by thieves.
Why are They Stolen?: Discover the valuable metals inside catalytic converters (such as platinum, palladium, and rhodium) that make them attractive to criminals.
Steps to Prevent Catalytic Converter Theft:
Parking Strategies: Tips on where and how to park your vehicle to reduce the risk of theft, such as parking in well-lit areas or secure garages.
Protective Devices: Overview of various anti-theft devices available, including catalytic converter locks, shields, and alarms.
Etching and Marking: The benefits of etching your vehicle’s VIN on the catalytic converter or using a catalytic converter marking kit to make it traceable and less appealing to thieves.
Surveillance and Monitoring: Recommendations for using security cameras and motion-sensor lights to deter thieves.
Statistics and Insights:
Theft Rates by Borough: Analysis of data to determine which borough in NYC experiences the highest rate of catalytic converter thefts.
Recent Trends: Current trends and patterns in catalytic converter thefts to help you stay aware of emerging hotspots and tactics used by thieves.
Benefits of This Presentation:
Awareness: Increase your awareness about catalytic converter theft and its impact on vehicle owners.
Practical Tips: Gain actionable insights and tips to effectively prevent catalytic converter theft.
Local Insights: Understand the specific risks in different NYC boroughs, helping you take targeted preventive measures.
This presentation aims to equip you with the knowledge and tools needed to protect your vehicle from catalytic converter theft, ensuring you are prepared and proactive in safeguarding your property.
Shobin John-solar pv cell utilization and charging
1. Master Thesis
HALMSTAD
UNIVERSITY
Masters Programme in Renewable Energy Systems, 60
credits
Solar PV Cell Utilization and Charging
System Development
Dissertation in Engineering Energy, 15
credits
2019/10/14
Shobin John
2. 1
Preface
This study is a result of master’s thesis in renewable engineering at Halmstad during spring term 2019.
The main contribution of the present work focuses on the development of a significant approach to identify
best possible surfaces finish strategy in terms of solar battery charging. The aim of the thesis was to analyze,
compare different battery charging method and implement PV cell system to run oil pump. I would like to
emphasize my thanks Professor Jonny Hylander for his support guidance, opportunely posed questions that
raised new lines of thought and motive to get good work on the thesis.
I would like to emphasis sincere thanks and gratitude to Mei Gong to guide throughout the thesis and support.
I am grateful to other dissertation committee members for enlightening and inspiring discussion and their
advice provided us guidelines in difficult times.
I would like as a final word of appreciation to thank the people of masters and research group at Halmstad
University for their thoughtful comments and suggestion, which continually improve the quality of the
dissertation.
3. 2
Abstract
In the present scenario of world is energy driven and batteries have turned into an essential part as an energy
source considering the mechanical advances in electric and frameworks. Batteries are requiring recharging
because of energy limitation. Recharging batteries with solar powered vitality by methods for sunlight-based
cells can offer an advantageous alternative for shrewd customer hardware. In the interim, batteries can be
utilized to address the discontinuity worry of photovoltaics.
The technology lead-acid battery capable of long cycle and most efficiently recycled commodity metal. Over a
99% of battery recycled in USA and Europe. Even though Li-ion and other types of battery have advantages in
terms of specific energy and energy density, but selection of lead-acid battery depend on its sustainability of
chemistry, completely recycled energy storage system and partially recycled metal parts [1]. In addition, that
electrochemical models have been computationally complex in terms of parameter identification and constant
phase element dynamics [2].
Battery charging control system play important role of stabilized power supply. The maximum power point
tracking (MPPT) and pulse width modulation along with smart charging methods helps to get maximum power,
intelligent utilization of energy and reduce battery charging time [3].
Battery thermal management system (BTMS) is performance and design bottle neck of many electric vehicles
mechatronic and energy system. Advanced storing solar energy shift towards sustainable transportation system.
Oil pumps in the electric vehicles capable to manage effective cooling system of battery and used for lubrication
of various metallic bearings. This paper proposes a solar driven oil management system in electric vehicle.
In this paper discussed about (a) PV and IV characteristics of solar panel based on Simulink simulation (b)
Designed a MPPT controller (Easy EDA). The generic algorithm was designed to MPPT and PWM control
battery system. Compare different battery charge method. The design consists of four stages which include
current booster, battery level indicator, battery charge controller and power supply unit. (c) Solar energy data
log by LabVIEW interface (d) tested and optimized best PWM controlled charging method (e) implemented
proposed model in oil pump test rig.
Keywords: PV, MPPT, PWM, Oil Pump, Lead acid batter charging method, PCB design of control system
4. 3
SAMMANFATTNING
I det nuvarande världsscenariot har energidrivare och batterier förvandlats till en väsentlig del som en
energikälla med tanke på de mekaniska framstegen inom elektriska och ramverk. Batterier kräver laddning på
grund av energibegränsning. Laddning av batterier med solkraftkraft med metoder för solljusbaserade celler kan
erbjuda ett fördelaktigt alternativ för skarp kundhårdvara. Under tiden kan batterier användas för att ta itu med
oro för fotovoltaik.
Teknologin bly-syrabatteri som har lång cykel och mest effektivt återvunnet råvarumetall. Över 99% av batteriet
återvinns i USA och Europa. Trots att Li-ion och andra typer av batterier har fördelar när det gäller specifik
energi och energitäthet, men val av blybatteri beror på dess hållbarhet i kemi, helt återvunnet
energilagringssystem och delvis återvunnen metalldelar [1]. Dessutom har elektrokemiska modeller varit
beräkningsmässigt komplexa när det gäller parameteridentifiering och dynamisk faselementdynamik [2].
Styrsystem för batteriladdning spelar en viktig roll för stabiliserad strömförsörjning. Den maximala spårning av
effektpunkt (MPPT) och pulsbreddmodulering tillsammans med smarta laddningsmetoder hjälper till att uppnå
maximal effekt, intelligent användning av energi och minska batteriets laddningstid [3].
Batteriets termiska styrsystem (BTMS) är prestanda och design flaskhals för många elektriska fordons
mekaniska och energisystem. Avancerad lagring av solenergi i riktning mot hållbart transportsystem.
Oljepumpar i elektriska fordon som kan hantera ett effektivt kylsystem för batteri och används för smörjning av
olika metalllager. Detta papper föreslår ett solenergidrivet oljehanteringssystem i elfordon.
I det här dokumentet diskuterade vi (a) PV- och IV-egenskaper hos solpanelen baserat på Simulink-simulering
(b) Designade en MPPT-styrenhet (Easy EDA). Den generiska algoritmen utformades för MPPT- och PWM-
kontrollbatterisystem. Jämför olika batteriladdningsmetoder. Konstruktionen består av fyra steg som inkluderar
strömförstärkare, batterinivåindikator, batteriladdningsregulator och strömförsörjningsenhet. (c)
Solenergidatlogg av LabVIEW-gränssnitt (d) testad och optimerad bästa PWM-kontrollerade laddningsmetod
(e) implementerat föreslagen modell i oljepumps testrigg.
5. 4
Table of Content
Preface................................................................................................................................................................. 1
Abstract ............................................................................................................................................................... 2
SAMMANFATTNING ....................................................................................................................................... 3
Symbols and Abbreviations................................................................................................................................. 6
1. INTRODUCTION....................................................................................................................................... 7
1.1. Background.......................................................................................................................................... 7
1.2. Aim of the study.................................................................................................................................. 7
1.3. Limitations........................................................................................................................................... 7
2. LITERATURE STUDY.............................................................................................................................. 8
2.1. Photovoltaic cell.................................................................................................................................. 8
2.2. Battery charging characteristics........................................................................................................... 9
2.3. PWM Charge Controllers.................................................................................................................. 10
2.4. MPPT Charge Controllers................................................................................................................. 10
2.5. Differences between PWM & MPPT................................................................................................ 11
3. MATERIALS AND METHOD ................................................................................................................ 11
3.1. Work package 1................................................................................................................................. 12
3.1.1. PV and IV characteristics of solar cell .......................................................................................... 12
3.1.2. Solar MPPT (OCVSCC) Algorithm.............................................................................................. 13
3.1.3. Solar MPPT (OCVSCC) Control system ...................................................................................... 14
3.1.4. Solar MPPT (OCVSCC) Component and BOM ........................................................................... 15
3.1.5. Solar MPPT (OCVSCC) Data loggning........................................................................................ 18
3.2. Work package 2................................................................................................................................. 19
3.2.1. Battery charging methods:............................................................................................................. 19
3.2.2. Gassing Voltage............................................................................................................................. 19
3.2.3. Constant Current Charging............................................................................................................ 20
3.2.4. Multi-Step Constant Current ......................................................................................................... 21
3.2.5. Constant Voltage Charging ........................................................................................................... 21
3.2.6. Modified SVSC charging method ................................................................................................. 23
3.3. Work package 3................................................................................................................................. 24
3.3.1. Battery Discharging experiment set up ......................................................................................... 24
3.3.2. Oil pump testing ............................................................................................................................ 25
4. RESULTS.................................................................................................................................................. 27
4.1. Work package 1................................................................................................................................. 27
4.2. Work package 2................................................................................................................................. 28
4.2.1. Multi-step current method........................................................................................................ 28
6. 5
4.2.2. Constant Voltage Method ......................................................................................................... 29
4.2.3. SVSC Method............................................................................................................................. 30
4.3. Work package 3................................................................................................................................. 31
5. CONCLUSION ......................................................................................................................................... 33
5.1. OCVSCC MPPT control system........................................................................................................... 33
5.2. Battery Charging Methods ................................................................................................................ 33
5.3. Solar Driven Oil Pump........................................................................................................................ 34
6. REFERENCES.......................................................................................................................................... 36
7. APPENDIX ............................................................................................................................................... 38
7.1. PV and IV characteristics ................................................................................................................... 38
7.2. Easy EDA OSVSCC MPPT Control System........................................................................................... 38
7.3. Bill of Materials of the Circuits .......................................................................................................... 39
7.4. Oil Pump Test Data............................................................................................................................ 39
7. 6
Symbols and Abbreviations
PV – Photovoltaic cell
UV -Ultraviolet
NREL - National Renewable Energy Laboratory
PWM - Pulse-Width Modulation
MPPT - Maximum Power Point Tracking.
PCB – Printed Circuit Board
BTMS- Battery thermal management system
UV-Ultra violet light
OCVSCC MPPT-Open circuit voltage and short circuit current maximum power point tracking
MOSFET- Metal oxide semiconductor field effect transistor
BOM -Bill of Materials
SVSC- Step voltage step current
8. 7
1. INTRODUCTION
1.1. Background
Battery thermal management system (BTMS) is performance and design bottle neck of many electric vehicles
mechatronic and energy system. Advanced storing solar energy shift towards sustainable transportation system.
Oil pumps in the electric vehicles capable to manage effective cooling system of battery and used for lubrication
of various metallic bearings. This paper proposes a solar driven oil management system in electric vehicle.
Battery charging control system play important role of stabilized power supply. The maximum power point
tracking (MPPT) and pulse width modulation along with smart charging methods helps to get maximum power,
intelligent utilization of energy and reduce battery charging time [3]. In this paper propose an open circuit
voltage and short circuit current (OCVSCC) MPPT method.
The PV characteristics of solar cell is the key factor of power source to drive oil pump. Effective MPPT control
system able to improve better charging. In other hand if charge current is too high the battery overheats and can
be damaged. Conversely if charge voltage and current are too low the recharge process takes too long, if at all
this is to suggest that the charge process is a balance and, in that voltage, and current must be continually
monitored and maintained between high and low limits. Further complicating this balancing act is that the high
and low limits change as the battery state of charge varies. A battery could be charged to full capacity fast
however the real world requires balancing speed and capacity based on chemistry application time longevity
and economics.
1.2. Aim of the study
The main objective of this study is to design Solar driven oil pump with effective cooling system. The entire
design divided into work package one, two and three, which presented below:
❖ Work package 1: Design MPPT control system to log solar data by using LabVIEW interface.
• Simulate PV and IV characteristics by using Simulink
• Design MPPT control system and PCB by using EasyEDA
• Develop LabVIEW interface to read solar and battery voltage
❖ Work package 2: Test and compare different charging method
• Single step constant current
• Multistep constant current
• Modified constant voltage
❖ Work package 3: Develop and test solar driven oil pump
• Calculate power consumption vs mechanical efficiency
• Evaluate temperature impact
1.3. Limitations
Due to the time limitation, the modified MPPT algorithm designed and simulated instead of hardware testing.
Lack of hardware connection error, temperature of battery couldn’t able to log. The oil pump test rig run by
inbuilt control system, not with actual solar system.
9. 8
2. LITERATURE STUDY
2.1. Photovoltaic cell
A photovoltaic cell (PV) converts the light energy into electrical energy. In photovoltaic cell electrical
parameters such as voltage, current and resistance, vary when exposed to light. A module can be formed by the
combination of different solar cell. The solar cell (silicon) can be produced an open circuit voltage (0,5 V). The
photovoltaic effect is defined that to generate electrical power from photovoltaic cell when it is opened to
sunlight. There are many factors that limit the efficiency of PV cell such as energy absorbing above certain
band-gap are converted to heat (Figure 1.1). Estimated efficiency of silicon PV cells is about 33%.
Efficiency and cost are correlated. Increasing purity of the semiconductor is the one method to increase the
efficiency. On the other hand, PV cells will also degrade, outputting less energy over time, due to a variety of
factors including UV exposure and weather cycles. A comprehensive report from the National Renewable
Energy Laboratory (NREL) states that the median degradation rate is 0.5% per year [4].
The factors that reduce the generation of solar power from the PV panel are; dirt, dust, snow, temperature
fluctuation. Efficiency of PV panel can be reduced by up to 50% due to above factors.
Figure 1.1: Solar cell functional Explanation [6]
In figure 1.1. explains about solar charging method. The solar panel converts sunlight into DC electricity to
charge the battery. To ensure the battery is charged properly and not damaged, this DC electricity is fed to the
battery via a solar regulator. This also helps to take advantage of the low voltage disconnect.
The output of solar panel directly affected by the cell operating temperature. Nominal temperature of solar panel
is rated as 25 degree. Output temperature of the solar panel can be expected to vary 3% for every six-degree
variation in temperature. The output of the solar panel decreases with increase of temperature. Again, this will
vary, if the panels are cool due to cloud cover and the sun bursts through the cloud. This analysis directly effects
on sizing of regulator [5].
The rated power of the solar panel would be expected to produce in one peak sun hour. Geographical locations
receive different rated peak sun hour per day.
According to the demand of current or voltage, solar panel can be connected either parallel or series. Actual
voltage of solar panel higher than the rated voltage. Available rated voltage of solar panels is 12V and 24V is
usually around 17V and 29V respectively. This actual voltage can be reduced by using regulators.
10. 9
2.2. Battery charging characteristics
In the present scenario of world is energy driven and batteries have turned into an essential part as an energy
source considering the mechanical advances in electric and frameworks. Batteries are requiring recharging
because of energy limitation. Recharging batteries with solar powered vitality by methods for sunlight-based
cells can offer an advantageous alternative for shrewd customer hardware. In the interim, batteries can be
utilized to address the discontinuity worry of photovoltaics.
The technology lead-acid battery capable of long cycle and most efficiently recycled commodity metal. Over a
99% of battery recycled in USA and Europe. Even though Li-ion and other types of battery have advantages in
terms of specific energy and energy density, but selection of lead-acid battery depend on its sustainability of
chemistry, completely recycled energy storage system and partially recycled metal parts [1]. In addition, that
electrochemical models have been computationally complex in terms of parameter identification and constant
phase element dynamics [2]. The selection of battery depends on various factors such as fast charge, heavy duty,
deep cycle, high capacity and long life. Rechargeable battery charged by applying electric current in reverse
direction of chemical reaction occur during use explained in figure 1.2 (b).
Figure 1.2: (a) cell characteristic (b) Peukert curve [7]
The nominal voltage of a galvanic cell is fixed by the electrochemical qualities of the dynamic synthetic
compounds utilized in the cell. The actual voltage showing up at the terminals at a specific time, likewise with
any cell, relies upon the load current and the interior impedance of the cell and this shifts with, temperature, the
condition of accuse and of the age of the cell.
Figure 1.2 (a &b) shows regular discharge for cells utilizing a scope of cell sciences when released at 0.2C rate.
Note that every cell science has its very own trademark ostensible voltage and release bend. Furthermore,
Lithium Ion have a flat-level release curve while, Lead acid have a steep curve. Power delivered by the cell falls
according to the curve falls during discharge cycle. This will arise the demand of stable voltage supply to keep
stable power.
A level release bend improves the plan of the application where the battery is utilized since the supply voltage
remains sensibly consistent all through the release cycle. An inclining bend encourages the estimation of the
State of Charge of the battery since the cell voltage can be utilized as a proportion of the rest of the charge in
the cell. Present day lead acid cells have an extremely level release bend and different techniques must be
utilized to decide the State of Charge
11. 10
The power of the battery is defined as amount of charge and discharge in ampere. The amount of energy
extracted with constant discharge rate in either ampere hours.
2.3. PWM Charge Controllers
Pulse-Width Modulation (PWM) comes into play when the battery bank is full. During charging, the controller
allows as much current as the PV panel/array can generate in order to reach the target voltage for the charge
stage the controller is in. Once the battery approaches this target voltage, the charge controller quickly switches
between connecting the battery bank to the panel array and disconnecting the battery bank, which regulates the
battery voltage holding it constant. This quick switching is called PWM and it ensures the battery bank is
efficiently charged while protecting it from being overcharged by the PV panel/array [11].
Figure 2.1: PWM charge controller and Power curves for PWM charge
PWM controllers will operate close to the maximum power point but often slightly “above” it. An example
operating range is shown in figure 2.1.
2.4. MPPT Charge Controllers
Maximum Power Point Tracking features an indirect connection between the PV array and the battery bank.
The indirect connection includes a DC/DC voltage converter that can take excess PV voltage and convert it
into extra current at a lower voltage without losing power shown in figure 2.2.
12. 11
Figure 2.2: MPPT charge controller and Maximum Power Point Tracking Explanation
MPPT controllers do this via an adaptive algorithm that follows the maximum power point of the PV array
and then adjusts the incoming voltage to maintain the most efficient amount of power for the system [8-10].
2.5. Differences between PWM & MPPT
PWM and MPPT are the two different types of charging methods solar charge controllers can use to
charge batteries from a solar array/panel. Both technologies are widely used in the off-grid solar industry and
are both great options for efficiently charging your battery. The decision to use PWM or MPPT regulation is
not purely based on which power charging method is “better” than the other. Moreover, it involves determining
which type of controller will work best in the system’s design [12]. To understand the difference between PWM
and MPPT charging, First look at a typical power curve of a PV panel. The power curve is important because it
states the expected power generation of the panel based on the combination voltage (“V”) and current (“I”)
generated by the panel. The optimal ratio of current to voltage to produce the most power is known as the
“Maximum Power Point” (MPPT). The MPPT will change dynamically throughout the day depending on
irradiation conditions [10].
3. MATERIALS AND METHOD
The charging method of the controller can be selected based on the studies, the output of the controller is directly
connected to the battery to be charged, in this case it is a lead acid 12volt battery. Also, the controller can
distribute the DC power to the load circuits, the battery charging voltage and current also monitored by
respective sensors, a display unit can show all the parameters related to the charging controller. Figure 3.1.
explains about the general architecture of the solar charging controller. In this diagram, solar panel output feeder
to the charging controller, the in and out solar panel voltage and current is being monitored by respective
sensors.
13. 12
Figure 3.1: Functional Block Diagram of Solar Charger System
Later part of this section explained about MPPT and PWM control system for effective power tracking from
solar system. In addition, that various practical oriented comparative study about various lead-acid battery
charging method along with effective LabVIEW data logging techniques. Finally run an oil pump set up by
using proposed battery charging method.
3.1. Work package 1
3.1.1. PV and IV characteristics of solar cell
PV characteristics of solar cell able to simulate by using following formula. Temperature dependant
power, voltage and current curve (figure 3.2) simulated by MATLAB code.
Boltzman Constant K=1.38065e-23; Electron's Charge q=1.602e-19; Short Circuit Current Iscn=8.45;
Open Circuit Voltage Vocn=32.8; Temperature Voltage Constant Kv=-0.132; Temperature Current Constant
Ki=0.00319; Number of Series Connected Cells Ns=51; Operating Temperature in Kelvin T=28+273;
Temperature at STC Tn=30+273; Irradiance at STC Gn=1001; Diode Ideality Constant [1<a<2,5] a=2.1; Band
Gap of silicon at Temperature of STC condition Eg=1.3; Actual Irradiance G=1001; Series Resistance of
Equivalent PV cell Rs=0.199; Parallel Resistance of Equivalent PV cell Rp=416,3.
𝑃𝑜𝑤𝑒𝑟(𝑃) = 𝑉𝑜𝑙𝑡𝑎𝑔𝑒(𝑉) ∗ 𝐶𝑢𝑟𝑟𝑒𝑛𝑡 (𝐼)
𝑉𝑜𝑙𝑡𝑎𝑔𝑒 = 𝑁𝑠 ((𝐾 ∗ 𝑇𝑛)/𝑞
𝐶𝑜𝑛𝑠𝑡𝑎𝑛𝑡 (𝐶1) =
I + K ∗ Tn
G
∗ 𝐺
𝐶𝑜𝑛𝑠𝑡𝑎𝑛𝑡 (𝐶2) =
Iscn
e(
Vocn
a∗Vtn
)
𝐶𝑜𝑛𝑠𝑡𝑎𝑛𝑡 (𝐶3) = 𝑒
((𝑞∗
𝐸𝑔
𝑎∗𝐾
)∗((
1
𝑇𝑛
)−(
1
𝑇
)))
Solar
Panel
Charging
Controller
Input Current Measurement
OutputCurrent Measurement
Display System
Input Current: 10.0 A
Output Current: 2.5 A
Battery Level: 75%
Excessive Power Outlet
14. 13
𝐶𝑜𝑛𝑠𝑡𝑎𝑛𝑡 (𝐶4) = 𝑒
(𝑉+𝐼)𝑅𝑠
𝑉𝑡∗𝑎
−1)
𝐶𝑢𝑟𝑟𝑒𝑛𝑡 (𝐼) = 𝐶1 − (𝐶2 − 1) ∗ (((
𝑇𝑛
𝑇
)
3
) ∗ 𝐶3 ∗ 𝐶4) + (𝑉 + 𝐼 ∗ 𝑅𝑠)/𝑅𝑝
Figure 3.2: P-V and I-V characteristics (MATLAB code is in appendix)
From PV and IV characteristics in figure 3.5 shows that the impact of temperature. Maximum power point
decreases according to increase in temperature.
3.1.2. Solar MPPT (OCVSCC) Algorithm
Design of an MPPT Controller is very important to convert the theories and ideas to a functional prototype. In
this project the circuit is designed with the free available tool EasyEDA. It’s a free tool available in internet and
It can be used to convert eh PCBs and Purchase the components under one platform.
The new OCVVCC MPPT is work in terms of open circuit voltage and short circuit current along with
multiplication factor to have maximum power from PV cells. This method also accommodates DC power of the
PV system.
15. 14
Grid power also consider in the algorithm and extracted from the panel using grid voltage and grid
current explained figure 3.3. The PV power can be calculated by
𝑃𝑝𝑣 = 𝑃𝐿 + 𝑃𝑐 + 𝑃𝑔𝑟𝑖𝑑 (𝑛𝑒𝑔𝑙𝑒𝑐𝑡 𝑙𝑜𝑠𝑠)
Maximum voltage extracted from the system
𝑉𝑚𝑝𝑝 = 𝑅2 ∗ (−𝑅1 ∗ 𝑇1 + 𝑅2) 𝑀𝑢𝑙𝑡𝑖𝑝𝑙𝑖𝑐𝑎𝑡𝑖𝑜𝑛 𝑓𝑎𝑐𝑡𝑜𝑟 0.8 < 𝑅2𝑜𝑟𝑅4 < 0.9
Maximum current extracted from the system
𝐼𝑚𝑝𝑝 = 𝑅4 ∗ 𝑅3 𝐸𝑟 𝐸𝑟 = 𝑖𝑟𝑟𝑎𝑑𝑖𝑎𝑡𝑖𝑜𝑛 𝑎𝑛𝑑 𝐾3 𝑑𝑒𝑡𝑒𝑟𝑚𝑖𝑛𝑒𝑑 𝑏𝑦 𝑃𝑉 𝑝𝑎𝑛𝑒𝑙
The irregular distribution of temperature in the circuit can be improved by PV converter.
Figure 3.3: New MPPT method (MATLAB code is in appendix)
The main advantage of new method is that, considering temperature, irradiation and grid power in the
system. In addition, that this method is fast dynamic converging to maximum power point than perturbation
and observation method.
3.1.3. Solar MPPT (OCVSCC) Control system
Control system designed according to above algorithm. The circuit-built figure 3.7 based on the Arduino pro-
mini microcontroller, which is very compact for factor, offering number of general-purpose input and output,
Analog to digital converter and I2C Interface. The high featured microcontroller is very in-expensive. Here in
16. 15
this circuit 3 Analog inputs used for Solar Panel Input Voltage and Current, Battery voltage measurements. The
PCB layout in figure 3.5 produced by EasyEDA software. This PCB is ready to produce (Confidential).
Figure 3.4: PMMT control system circuit diagram
Figure 3.5: PCB Layout Top and Bottom Layers
3.1.4. Solar MPPT (OCVSCC) Component and BOM
• Voltage Booster circuit
The Heart of the MPPT control system is MOSFET based MPPT power driver which is constructed
using IR2104 and IRF520PBF. This act as a Dual Buck-Boost Converter in figure 3.6 and the controller circuit
should be powered up by the 18volt supply. This system is Running at 12V, so a voltage Booster can be used
17. 16
to increase the voltage supply from 12V to 18V. The following circuit is common for boost application and its
readily available in the market with a very nice packaging in a PCB. Variable resistor, potentio meter, 5v supply,
current sensor, voltage measurement circuit solar and batter voltage.
Figure 3.6: Boost Converter for 18Volt Output
• 5 Volt Regulator circuit
The main microcontroller and sensors are working in 5volts. It is essential to provide that a separate
power supply of 5V. In figure 3.7 voltage regulator circuit is a readily available circuit which is common for
voltage regulation applications. The circuit has a variable resistor so that the desired voltage can be easily tuned,
to accommodate all these readymade sub circuits, we have free space in PCB layout. Any voltage output will
be 5v.
Figure 3.7: Voltage Regulator for Microcontroller Power
• ACS712 Current Sensor
The ACS712 Current Sensor if figure 3.8 is a product of allegro microsystems that can be used for
precise measurement of both AC and DC currents. This sensor is based on hall effect and the IC has an integrated
hall effect device, it produces an analogue voltage that is proportional to AC or DC currents (whichever is being
sensed).
A very interesting fact that, the ASC712 Current sensor is based on Hall Effect. There is a copper strip
connecting the IP+ and IP- pins internally. When some current flows through this copper conductor, a magnetic
field is generated which is sensed by the Hall Effect sensor.
18. 17
Figure 3.8: ACS712_20 working principle of the current sensor
• Voltage Measurement:
Voltage is being measured by the traditional voltage divider method explained in figure 3.9. This is
very simple and utilizes only two known value Resistors. The Voltage Measurement circuit is used for Solar
Panel voltage measurement and Battery voltage Measurement.
Figure 3.9: Voltage measurement by voltage divider method
19. 18
3.1.5. Solar MPPT (OCVSCC) Data loggning
LabVIEW is a graphical user interface programming language from national instruments. The
LabVIEW used to log the data in a file, the front panel (user interface part) and the block diagram
(programming part) are given in figure 3.10.
Figure 3.10: LabVIEW Program to Log the Solar Data
By using LabVIEW, condition of the solar charging system can be simulated in addition the Charging system
efficiency can be calculated according to the Load, Here the Load circuit is modelled with Multisim software.
Multisim is a circuit design and simulation software from national instruments.
A PV array is modelled in Multisim with the resistance controlled by LabVIEW. The LabVIEW co-
simulation application sweeps the panel from short circuit to open circuit conditions while recording an array
of voltage and current data. Then the I-V curve data is passed to the solar cell characterization algorithms and
the solar array is characterized, including short circuit current, open circuit voltage, fill factor, series and shunt
resistance, maximum power, maximum voltage, maximum current and efficiency. The P-V and I-V curves for
the solar array are also traced. The results obtained in this section discussed in section 4.
20. 19
3.2. Work package 2
Four different lead-acid battery charging methods and how its effect on charging criteria are discussed in work
package 2. The four different battery charging methods are a) constant current charging method b) multi step
constant current charging method c) constant voltage charging method d) modified voltage method.
3.2.1. Battery charging methods:
Battery charging process defined as converts DC electrical energy into stored chemical energy. This stored
chemical energy can later be withdrawn as electrical energy for off-grid remote or emergency applications. If
the charging process is to be efficient, effective and safe, then voltage and current must both be controlled. Such
that batteries are not overcharged undercharged were damaged in the process. Excess voltage can lead to
gassing of the electrolyte. Gassing (Electrolysis) is the electrical splitting of liquid water into its gaseous
chemical constituent’s hydrogen and oxygen [14].
In other hand if charge current is too high the battery overheats and can be damaged. Conversely if charge
voltage and current are too low the recharge process takes too long, if at all this is to suggest that the charge
process is a balance and, in that voltage, and current must be continually monitored and maintained between
high and low limits. Further complicating this balancing act is that the high and low limits change as the battery
state of charge varies. A battery could be charged to full capacity fast however the real world requires balancing
speed and capacity based on chemistry application time longevity and economics [15-16].
3.2.2. Gassing Voltage
The power source has a great impact to fix level of battery voltage and capacity (1). The charge process is
characterized by inter-related properties of voltage and current.
One of the hard-upper limits imposed on batteries is that of the gassing voltage at which electrolysis begins and
water is electrically split into its gaseous constituents’ oxygen and hydrogen both flammable gases that must be
vented. A certain amount of gassing is expected and serves to circulate the electrolyte. However Excessive
gassing depletes the electrolyte and changes its chemical concentration. A common maintenance tasks
associated with flooded lead-acid batteries is the periodic addition of distilled water to compensate for water
loss to gassing.
Maintenance-free batteries solve this problem by catalytically recombining the gases into liquid water. Over-
provisioning the electrolyte or other methods to prevent progressive, loss or degradation of the electrolyte
effectiveness. By monitoring the battery voltage, the charge process can determine when the battery off gases.
The gassing typically occurs at around 2.4volts per cell for lead acid battery. This means six cell lead acid
batteries gassing voltage is approximately 14.4 volts. It is a recommended practice to do not exceed this value
for any prolonged period. The charging voltage of a lead acid battery is affected by both the state of charge and
the charge rate where charge rate is typically expressed as a function of capacity. This can be illustrated using
a figure 3.11.
21. 20
Figure 3.11: Charging current vs Battery voltage with gassing voltage
Consider a nominal 12-volt battery with a 20 Ah capacity where capacity has been determined using the 20-
hour test. This is the C20 rating this battery can be charged at the following rates 0.1C20, 0.2C20, 0.3C20 and
0.4C20. This means this battery could be charged at 2A, 4A, 6A or 8A respectively. If this battery was deeply
depleted and only had a 10% state of charge, this curve suggests that the battery could be safely charged at the
0.4C20 rate of 8A and run no risk of exceeding the gassing voltage. As the battery’s state of charge increases
however note that the charge voltage increases for the same Charge rates. at a 50% state of charge we still run
no risk of exceeding the gassing voltage at the 0.4C20 charge rate of 8A.
However, at a 70 percent state of charge, we run the chance of exceeding the gassing voltage. At the 0.4C20
charge rate this is to suggest that if the charge process is to remain efficient, effective and safe, we must either
use a lower initial charge rate or progressively decrease charge rate as the state of charge increases. The effect
that higher states of charge is even more pronounced at a 90% state of charge, we exceed the gassing voltage
slightly in excess of the 0.1C20. Charge rate finally at a 110 percent state of charge we exceed the gassing
voltage and even very tiny charge rates. This is to suggest that the battery is full, and any further charge runs
the risk of damaging the battery. A basic analysis of this family of curves suggests the following approaches to
charging.
3.2.3. Constant Current Charging
Constant current charge method plays it safe charge only at the smallest charge rate regardless of state of charge
thereby preventing the battery from exceeding the gassing voltage for prolonged periods. This method is known
as a single step constant current charge. This method is safe however given such a small charge rate. One could
expect this process to take all day to do so.
22. 21
Figure 3.12: Single Step Constant Current Charging Method
The voltage of a deeply discharged battery undergoing a single step constant current charge would steadily
increase over a long period of time until it reached the gassing voltage above which the battery could be
damaged. A partially discharged battery undergoing a single step constant current charge would also steadily
increase only would reach the gas in voltage quicker than the deeply discharged one. If the battery is
disconnected from the load while it is being charged and the single step constant current value is extremely low
on the order of 0.01C20 this might be referred to as a compensating or trickle charge or the small current enough
to recharge a battery ordinarily used only intermittently over a long period of time.
3.2.4. Multi-Step Constant Current
Figure 3.13: Multi-Step Constant Current
Method 2 go big early charge at the largest charge rate allowable by the present state of charge and then dial it
down as the state of charging Increases, thereby preventing the battery from gassing for prolonged periods. This
method is known as multi-step constant current charging, this method is faster however it necessitates a slightly
more complex charger. The voltage of a deeply discharged battery undergoing a multi-step constant current
charge would steadily increase to the gassing voltage while in the first high current stage, then recognizing
gassing voltage limit switch over to the second lower current stage, then steadily increase to the gassing voltage
and then switch over to the third next lowest current stage and steadily increased the gassing voltage and a
quasi-saw-tooth pattern figure 3.13.
However, the time it takes for three progressively staged currents to achieve the same level of charge will be
much less than the single step constant current method. battery charging only in terms of controlling current
however voltage is an equally important property, since it is the factor that directly determines current magnitude
at a very basic level. A constant voltage source could be used to charge a battery however this method isn't
ordinarily recommended, since excessively large currents can damage a deeply discharged battery.
3.2.5. Constant Voltage Charging
23. 22
Consider a nominal 12-volt battery with 100 milliohms resistance, that open circuit voltage can be used to
approximate a battery state of charge. a fully charged battery with 100%state of charge might exhibit an open
circuit voltage of 12.8V, whereas a deeply discharged one with 0% state of charge only 11.8V, assuming
linearity a battery exhibiting a 12.6-volt open circuit voltage might therefore be approximated as having an 80%
state of charge. If a 12.8-volt constant voltage source charger was used to charge this battery at 80 percent state
of charge using Kirchhoff’s voltage law explained in figure 3.17 and table 3.1.
Figure 3.14: a) VI characteristics of constant voltage charging b) circuit diagram of constant voltage
charging
There would be a 0.2-volt differential across the internal resistance of the battery via Ohm's law. Current at
the onset of charging would therefore be 2A as the battery state of charge increased in the battery voltage
increased. The differential across the internal resistance would decrease as with the current at a time the battery
and voltage source equal one another the differential would not exist, and no current will flow. When plot
current over time, for a constant voltage charge would expect high initial current that progressively diminishes.
At the end of the charge cycle the battery begins to saturate and current drops.
Table 3.1: SOC of constant charge method
Voltage State of Charge
12.8 100%
12.6 80%
11.8 0%
Lead-acid batteries require periodic full saturation to prevent sulfation, where sulfation is that buildup of lead-
sulfate crystals the Robb's electrodes of functional surface area. Full charge occurs when current drops to a set
minimum level, consider however a deeply discharged battery exhibiting an open circuit voltage of 11.8V. If a
12.8V constant voltage source was used to charge this battery at 0% state of charge using Kirchhoff’s voltage
law, could determine that there would now be a 1V differential across the internal resistance of the battery via
Ohm's law current at the onset of charging would therefore be a loping 10 amps. This initial surge of current
might be damaging to the battery and for this reason constant voltage charging is not a recommended.
Figure 3.15: Initial High Current will damage the Battery
24. 23
If a battery could be brought to a reasonably high state of charge via other means a constant voltage charger
would be the simplest of methods to finish the charge. This is essentially the logic behind something called a
float charger or a constant voltage source is used to finish or maintain the full charge of the battery.
Single step constant current, multi-step constant current and constant voltage charging methods present
disadvantages in isolation and ordinarily batteries are charged using a combination of these techniques. One of
the most common charging methods used for lead acid chemistry's is something called the modified voltage
charging method or the fast charge.
3.2.6. Modified SVSC charging method
Lead acid batteries can't really be fast charge, so the term fast charge is somewhat of a misnomer a complete
charge takes a long time and anything faster is a compromise. Lead acid batteries can however be charged to
around 70 or 80 percent relatively quickly. Saturation charge uses major part of it and the lead acid battery
occasionally receives a fully saturated charge prevent sulfation.
The modified step voltage step current (SVSC) charging method is typically characterized by three stages and
two important set points that define the transition between stages shows in figure 3.20.
Figure 3.16: Modified SVSC charging system
• Bulk Stage – I phase
First this method uses a constant current stage where charge current is limited to the maximum safe current
allowable by the battery manufacturer. This maximum safe current value ensures that the battery is receiving a
reasonable quantity of electrical energy it is not placed at risk of damage due to overheating or destructive
effects. As can be expected battery voltage will rise during the initial constant current charge stage this first
stage takes up roughly half of the required charge time and sometimes known as the bulk stage.
• Absorption Stage- V0 phase
Since it applies the bulk of the charge once the battery reaches the gassing voltage, the charger switches to the
constant voltage mode sometimes called the topping charge or absorption stage during this stage the battery has
already been brought to a reasonably high voltage by the previous constant current stage so the Therefore current
is manageable and will decrease as the differential progressively erodes notice the battery during the absorption
stage is maintained at or very near the gassing voltage not over it for a typical lead acid battery this might be
around 14.4 volts although this need to verify this with a specific battery manufacturer. This constant voltage
stage continues with decreasing current and provides saturation. This stage ends when current has decayed to a
predetermined level on the order of 0.1C20.
25. 24
• Constant voltage Stage – V phase
The third stage start at 0.1C20 another constant voltage stage begins with a float value enough to complete the
charge and compensate for the loss caused by self-discharge. current during this third and final stage should
also be small and progressively decrease down to a relative trickle that maintains the full charge. This float
voltage value for a typical lead acid battery might be around 13.8 volts although its need to verify this with a
specific battery manufacturer.
The fast charging method is characterized by three recognizable stages and two setpoints defining the transition
between stages. First a constant current stage where charged current is limited to the maximum amount
allowable by the battery manufacturer. During the stage battery voltage rises until it reaches the gassing voltage.
Further charge at this current magnitude would see voltage rise in excess of the gassing voltage potentially
damage the battery.
The charger switches to the second stage at gassing voltage set point characterized by a constant voltage, current
decreases from the previous maximum to a predetermined minimum as the voltage differential between the
charging source and the battery is progressively eroded.
Finally, once current has decayed to this predetermined minimum the charger switches to a third stage, also
characterized by a constant voltage however this time the voltage is reduced to the float level enough to finish
and maintain the battery charge.
This combination of a constant current and two constant voltage stages ensure the battery is charged to capacity
relatively quickly during the bulk stage and receives the saturation charge during the absorption and finishing
stages necessary to ensure the long life of a lead acid battery. The experiment results of above methods are
explained in results.
3.3. Work package 3
3.3.1. Battery Discharging experiment set up
In order to set an experiment first start by discharging three identical 12volt batteries with a nominal 2.3 Ah
capacity. Capacity has been determined during the c20 test will be discharged to roughly only 20 percent state
of charge meaning 80% of their available energy has been removed from them.
Figure 3.17: discharging the battery with time
The discharge curve for each battery demonstrates that while being subjected to a relatively high discharge
current of 1C20 or 2.3A the battery voltage slowly drops and then dips down to a predetermined cut-off point
of 9.45V over a period of 28 minutes.
Capacity at predetermined cut off voltage = 12V * 2,3A = 27,6-watt hour
26. 25
Table 3.2: Parameter specification
Parameter Value
Battery Yield 13-Watt hours of energy
Open circuit bounce back *discharge period end* 12V
Chemical reaction stabilizes 20% SOC
Nominal capacity 27,6Wh * 20 hours from manufacturer*
The abstract is to find how each method characteristic voltage and current curves would look over time.
Utilizing these three batteries and charge them using three different methods.
1. A float charger which is meant to simulate a constant voltage method however this float charger is
characterized by a maximum current value limit this way won't get a damaging initial current spike
2. A multi-step constant current charger with four stages
3. A modified constant voltage or fast charge method
3.3.2. Oil pump testing
The method used for all testing is based upon measuring the seven Inlet/Outlet/External variables and to
calculate the efficiency accordingly.
1. Current (I)
2. Voltage (V)
3. Power (VI)
4. Pump head (δP)
5. Oil temperature (TO)
6. Housing temperature (TH)
7. Oil flow (v ̇)
Efficiency,
𝜂 =
v̇ ∗ δP
V ∗ I
• Test Set Up
1. Fill the tank with ~1 litre of Mobil DTE 10 Excel 15 oil
2. Run the pump for a while to approach 30 ° coil temperature
a. Always fulfil 26 ≤ Toil ≤ 35 °C (22 ± 3,5 cSt)
3. Log:
a. Pressure before and after pump
b. Flow after pump
c. Temperature of incoming oil line, or in incoming oil line to the pump
d. Temperature of pump housing
e. Voltage and current
4. Run two test sessions:
a. 12,0 or 24,0 V
b. 13,5 or 27,0 V
5. Run from lowest possible diff pressure, then at each multiple of 0,5 bar up to stagnation
a. Example: 0,37 / 0,5 / 1,0 / etc. bar
27. 26
The prescribed oil has a viscosity of 22 cSt @ 30 °C, which is higher than ~12 cSt which all the relevant oils
have at the in-engine reference temperature of 95 °C. All oil pump performance readings will hence be
conservative compared to steady state engine operation in figure 3.22.
Figure 3.18: discharging the battery with time
Along with the Mobil Rarus SHC 1026 need to reach 70 °C in order to match the 22 cSt used in the testing.
This means that achieved oil flow may be lower at some laboratory conditions.
• Data acquisition
NI cDAQ 9188-1ADOC18 chassis used for generating slot for accommodate different hardware modules.
Following modules are using:
a. NI 9220 (DUSB) cDAQ9188-1ADOC18Mod1 01ADA9A6
b. NI9237 (DUSB) cDAQ9188-1ADOC18Mod2 01AD2690
c. NI9211 cDAQ9188-1ADOC18Mod3 01AD9B5C
d. NI9402 cDAQ9188-1ADOC18Mod5 01AE756F
e. NI9213 cDAQ9188-1ADOC18Mod6 01B6B506
Serial CAN interface used to read data to LabVIEW.
28. 27
4. RESULTS
The results obtained from work package 1, work package 2 and work package 3 are explained in the following
section.
4.1. Work package 1
Open circuit voltage and short circuit current (OCVSCC) MPPT method is fast dynamic converging to
maximum power point compare to perturbation and observation method. The main advantage of new method
is that, considering temperature, irradiation and grid power in the system. Total harmonic distribution
significantly less when compare with incremental conductance method Table 4.1.
Test result explain with respect to in house rig test data. It is hard to predict, how long each method would
take to return a given quantity of energy to the battery neglecting variant efficiency concerns.
Table 4.1.: Solar Panel Voltage and Battery voltage level with time
Figure 4.2.: The average solar panel output is giving as below with Time
Figure 3.12 shows that OCVSCC method could able to stabilise battery voltage irrespective of grid condition
and temperature influential. This study focused on OCVSCC MPPT solar system.
A fundamental comparison between PWM and MPPT make sure that why using MPPT in terms of peak panel
voltage and battery charge voltage as a percentage. Consider that 18.5v for a “12v” panel, and anywhere
between 13.6 and 14.4v for a “12v” lead-acid battery, depending on how full it is.
800 600 400 200
OCVSCC 2.1 2.98 3.9 4.2 99.93
Incremental conductance 4.8 5.6 8.9 14 99.94
Total harmonic distribution (%)
MPPT
Efficiency
(η%)
0
5
10
15
20
25
30
35
40
00:00:00 02:24:00 04:48:00 07:12:00 09:36:00 12:00:00 14:24:00 16:48:00 19:12:00 21:36:00
Voltage distribution - OCVSCC MPPT
Temperature Solar Panel Voltage Battery Voltage
29. 28
• PWM loss, flat battery: 13.6v / 18.5v = 0.735 = 73.5%
• PWM loss, mostly charged battery: 14.4v / 18.5v = 0.778 = 77.8%
These are the major losses in the system and should be inverted to get gains.
• MPPT gain, flat battery: 18.5v / 13.6v = 1.36 = 36%
• MPPT gain, mostly charged battery: 18.5v / 14.4v = 1.28 = 28%
Finally, the MPPT based solar charger is the best one for any charging system, especially it monitors the
load current as well as the battery temperature, so the system can be charged in a safe and timely manner.
Even though many of booster switching circuits and step current control systems can easly manage by
PWM duty cycle control [21-22].
4.2. Work package 2
Constant current method is not included in this paper due to technical difficulties discussed in section 3.2.3.
Remaining methods such as multistep current method, SCSV method are discussed details in this section.
4.2.1. Multi-step current method
Figure 4.2 explains about multistep current charging method in which the charger uses four distinct constant
current charge stages. Four respective current charge stage explain following.
Figure 4.2: multi-step current charge method
❖ Stage 1is characterized by a 0.4C20 charge rate. In this case 0.4 times 2.3 is 0.92amps or 920mA. the
charger maintains charge rate for quite some time and during this time the battery voltage steadily rises
to the gassing voltage of 14.4 volts. Further charging at this rate could potentially damage the battery.
❖ Recognizing this limit, the charger switches over to the second constant current stage characterized by
0.3C20 charge rate in this case 0.3 times 2.3 is 0.69A. The charger maintains this reduced charge rate
for a comparatively short period during which the battery voltage again steadily raises the gassing
voltage of 14.4 volts.
0
0.2
0.4
0.6
0.8
1
10
11
12
13
14
15
0 1000 2000 3000 4000
Multi Step Current Method
Battery Volt Step Curent
30. 29
❖ At this point the charger switches over to the third constant current stage characterized by 0.2C20 charge
rate in this case 0.2 times 2.3 is 0.46 amps or 460mA. The charger maintains this reduced charge rate
for comparatively short period during which the battery voltage again steadily raises the gassing voltage
of 14.4 volts.
❖ Finally, the charger recognizes hit the hard limit again switches over to the 4th and final constant current
charge stage characterized by 0.1C20 charge rate. In this case 0.1 times 2.3 is 0.23 amps or 230 mA,
the charger maintains this reduced charge rate the battery voltage again steadily rises to the gassing
voltage of 14.4 volts. By using this method, the predetermined finish line of 13.5-watt hours of energy
is reached in only 4060 seconds or 68 minutes just over an hour. Slightly more complicated charger
with a higher initial current therefore this method reduced the charge time to a quarter of than the
previous attempt.
4.2.2. Constant Voltage Method
Figure 4.3 explained about constant voltage charge method. It is not fully constant voltage, however its close
enough to illustrate an important point. It takes a long time to charge a battery this way, notice it takes nearly 4
Hours to return 13.5-watt hours of energy to this battery. In this case the charger is set to flow at 13.8volts.
Battery is initially deeply discharged the charger limits the applied voltage to keep current below a
recommended limit.
Figure 4.3: Constant voltage Charge Method
In this case around 0.3C20 as cell voltage rises the voltage differential between the charger and the battery rods
and the current decreases overtime the float charger progressively steps up the float voltage to 13.8 volts. If the
float charger really was a constant voltage source of 13.8 volts instantaneously applied to this deeply discharged
battery. It would have expected a large initial surge of current that might have damaged the battery. A true
constant voltage method would feature a flat line voltage application and a large initial current spike that
progressively rods provided. The battery survives the initial spike.
0
5
10
15
20
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0 2000 4000 6000 8000 10000 12000 14000
Multi-step Current Method
Multi Step Current Battery Volt
31. 30
4.2.3. SVSC Method
SVSC method can meet the record here's the figure 4.4. for the modified constant voltage or fast charge
method. This method is characterized by three distinct stages and two important set points
Figure 4.3: SVSC Charging Method
❖ Stage one is characterized by a constant current in this case the charger is limited to 0.4C20 or 920mA.
This is essentially identical to the first stage of earlier multi-step constant current charge method.
Similarly, voltage progressively rises during this stage until it reaches the predetermined gassing voltage
set point of 14.4 volts.
❖ Sensing this setpoint the modified constant voltage charger switches to a second stage characterized by
constant voltage equal to the gassing voltage. During the constant voltage stage current progressively
decreases.
❖ Finally, when current decays to a predetermined value the modified constant voltage charger switches
to another constant voltage stage characterized by a 13.8 Volt float value current progressively
decreases although if extended the graph out to 5760seconds.
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
12
12.5
13
13.5
14
14.5
15
0 500 1000 1500 2000 2500 3000 3500 4000
SVSC Method
Battery Volt SCSC Current
32. 31
4.3. Work package 3
Solar driven oil pump successfully developed and tested in in-house rig. The high-pressure oil pump run 12V
and 13,5V condition with OCVSCC and SCSV concept and calculated the efficiency figure 4.4 and 4.5, and
step current behaviour.
Figure 4.5: Oil pump 12V and 13,5V test result, power vs efficiency
❖ Proposed MPPT and battery charging logic successfully implemented in thermal management oil
pump.
❖ Power and efficiency curve at 12V test are not consistent between 5bar and 6bar head.
❖ Maximum efficiency of pump is 35% at 80W power
❖ Voltage difference in pump is highly significant when considering efficiency and power.
In other hand certain parameters like current, volume and temperature behaviour of oil pump also significantly
affect the battery discharge and pump set up. Figure 4.4 explained about impact of current, voltage and
temperature on 12V and 13,5V test set up.
0%
5%
10%
15%
20%
25%
30%
35%
40%
0.00
20.00
40.00
60.00
80.00
100.00
120.00
140.00
160.00
180.00
0 1 2 3 4 5 6 7
Efficiency(%)
Power(W)
PA_diff (bar)
Oil pump at 12V
Power 54.00 Efficiency 19%
0%
5%
10%
15%
20%
25%
30%
35%
40%
0.00
20.00
40.00
60.00
80.00
100.00
120.00
140.00
160.00
180.00
0 1 2 3 4 5 6 7
Efficiency(%)
Power(W)
PA_diff (bar)
Oil Pump at 13,5V
Power 59.85 Efficiency 21%
33. 32
Figure 4.4: Oil pump 12V and 13,5V test results, current, volume flow and temperature.
❖ Step current is inversely proportional to the step volume flow.
❖ 12V test run keep steady state (838 sec) longer time than 13.5V run (553 sec).
❖ Oil temperature at 12 V test run is lower than 13,5V supply even though 12V run takes more time.
❖ Pump body temperature of 13,5 run is significantly higher than 12V run.
0
5
10
15
20
25
30
35
40
0
2
4
6
8
10
12
14
16
1
32
63
94
125
156
187
218
249
280
311
342
373
404
435
466
497
528
559
590
621
652
683
714
745
776
807
838
Oil Pump 12 V
Current Volume flow TO_in T_Housing
0
5
10
15
20
25
30
35
40
45
50
0
2
4
6
8
10
12
14
1
24
47
70
93
116
139
162
185
208
231
254
277
300
323
346
369
392
415
438
461
484
507
530
553
576
599
Oil Pump 13,5 V
Current Volume flow TO_in T_Housing
34. 33
5. CONCLUSION
5.1. OCVSCC MPPT control system
OCVSCC MPPT control system is highly important when compare to the existing MPPT method such as
perturbation and observation, increase in conductance method, RC method etc. The main advantage of new
method is that, considering temperature, irradiation and grid power in the system. In addition, that this method
is fast dynamic converging to maximum power point than other method. In addition, that total harmonic
distribution is much lower than increase in conductance method. Combination of Boost voltage and control
voltage circuit with effective parameter detecting sensor along with OCVSCC control system will helps to the
solid production stage. The key consideration of effective usage of solar energy are discussing flowing.
• Short circuit protection: The purpose of a battery short-circuit protection is to automatically disconnect
the battery circuit within the shortest time period when detecting a battery short-circuit condition
through a short-circuit protection circuit, thus protecting the battery. The most common battery short-
circuit protection method is to compare the sampling current value with the software reference. When
the sampling current value is higher than the short-circuit protection reference, the software controls
the MOSFET or a Relay switch to be disconnected in order to achieve short-circuit protection.
• Over load current protection: Charge controllers protect batteries from high voltage, but also often
incorporate over discharge protection, that is, circuitry that prevents the batteries from deep discharging.
When the weather's cold, over discharge protection also protects batteries from freezing. This feature is
known as a low-voltage disconnect. Charge controllers prevent over discharge by disconnecting loads
active circuits in a home or business. Over discharge protection is activated when a battery bank reaches
a certain pre-set voltage or state of charge but only protects against deep discharge caused by circuits.
This feature prevents the batteries from discharging any further. Over discharge not only protects
batteries, it can protect loads, some of which may not function properly or may not function at all at
lower than normal voltages
• Reverse current protection for solar panels: At night when the PV array is no longer producing
electricity, current can flow from the batteries back through the array. To prevent this reverse current
flow, charge controllers contain a diode in the circuit. In most PV systems, battery discharge through
the modules is small, and power loss is therefore insignificant. However, reverse current flow is much
more significant in larger PV systems. Fortunately, nearly all charge controllers deal with this potential
problem automatically.
5.2. Battery Charging Methods
It’s clearly visible that all three stages for the modified constant voltage method this method crosses
predetermined finish line of 13.5-watt hours at 4410 seconds or 73.5 minutes this method despite the title fast
charger took a little bit longer 5.5 minutes longer to be exact then our previous multistage constant current
charger. Modified constant voltage method backs off on the current during the second stage this means energy
delivery does slow down. However, notice the modified constant voltage method keeps the battery at the gassing
voltage during the absorption stage for a period whereas the multistage constant current charger does not.
35. 34
This is to suggest that a battery exclusively charged using the multistage constant current method might not ever
reach the all-important absorption stage it may not have as long lifespan to be sure other charge methods and
hybrid combinations exist, however when getting right down to it the modified constant voltage method
characterized by three distinct stages is the simplest of the methods that yields the best results a fast charge and
a long life notice both first stages are essentially identical they're both constant current stages limited only by
how much the battery can handle. Modified constant voltage method simply eases off the gas at the very end of
the trip and coasts to a gentle stop.
• Charge Efficiency
Charge efficiency is the ratio of the energy put to good use over that supplied by the charger. Not all the energy
supplied by the charger goes into beneficial energy storage and some of it is lost to heat destructive chemical
processes or other losses. It is astounded to understand that the charge process can be very efficient.
Charge efficiency as a function of state of charge shows that only during low states of charge and as the battery
approaches a full state of charge is the charge process considered inefficient. Therefore, arbitrary finish line of
13.5-watt hours for all three experiments is slightly inaccurate since it assumes all 13.5-watt hours are identically
put to good use by the three different charge methods. Four regions between 10 to 90% assume that most of the
energy delivered by the charger is being put to good use charge efficiency can also be plotted as a function of
applied voltage and charge rate.
Nominal 12-volt battery note that voltage is below 12.1 volts aren't efficient because the charge voltage is not
high enough to support the charging reaction efficiency decreases for high voltages due to increased destructive
currents. A high charge rates efficiency shows a notable decrease because the surfaces of the plates become
fully charged and results in increased voltage and gassing at very low charge rates efficiency drops because the
charge current is equivalent to self-discharge rate [23].
Figure 5.1: Charging Efficiency and Equalization Process
A final consideration about charge efficiency is that it is also temperature dependent these curves are valid only
for constant temperature conditions and other temperatures necessitate the use of different curves. Equalization
is essentially a periodic controlled forced over charge for the purposes of removing sulfation. This is a periodic
maintenance procedure and extend the life span of a battery applying and equalizing charge every six months
or after about 20 cycles brings all cells to a similar level by increasing the voltage to approximately2.5 volts per
cell or 10% higher than the recommended charge voltage. During equalization batteries must be kept cool and
under close observation for unusual heat rise and excessive venting.
5.3. Solar Driven Oil Pump
A significant difference between 12V and 13.5V test due to effect of temperature overshooting or battery
capacity. Significant control of temperature in Oil pump application system and pump itself are highly
36. 35
significant. Temperature is increasing with respect to the time, fully functional PWM control system
recommended for development.
37. 36
6. REFERENCES
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Energy Storage Elsvier, Volume 15, February 2018, Pages 145-157.
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Renewable Energy Laboratory, USA, 2012. Accessed April 24, 2018.
[6] Gil Knier, (2006) How do Photovoltaics Work, NASA science share the science, https://science.nasa.gov/science-
news/science-at-nasa/2002/solarcells.
[7] Electropaedia, Battery Performance Characteristics, https://www.mpoweruk.com/performance.htm
[8] K Kalyan, R Bhaskar (2014), Implementation of MPPT algorithm for solar photovoltaic cell by comparing short
circuit method and incremental method, The 7th
international conference proceedings, Elsevier, page 705-715
[9] Babaa, Saleh & Armstrong, Matthew & Pickert, Volker. (2014). Overview of Maximum Power Point Tracking
Control Methods for PV Systems. Journal of Power and Energy Engineering. 02. 59-72. 10.4236/jpee.2014.28006.
[10] li, Xingshuo & Wen, Huiqing & Jiang, Lin & Lim, Eng & Du, Yang & Zhao, Chenhao. (2016). Photovoltaic
Modified ?-Parameter-based MPPT Method with Fast Tracking. Journal of power electronics. 16. 9-17.
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[11] Khanfara, Maha & Mohammed, Boussetta & El Bachtiri, Rachid & el Hammoumi, Karima. (2018). A Multicarrier
PWM Technique for Five Level Inverter Connected to the Grid. International Journal of Power Electronics and Drive
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power point Tracker, World Renewable Energy Congress 2011, Sweden, May 2011, Sweden
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for Stand Alone Photovoltaic Systems. PESC Record - IEEE Annual Power Electronics Specialists
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[14] Fakham, Hicham & Lu, Di & Francois, Bruno. (2011). Power Control Design of a Battery Charger in a
Hybrid Active PV Generator for Load-Following Applications. Industrial Electronics, IEEE Transactions on.
58. 85 - 94. 10.1109/TIE.2010.2062475.
[15] Hicham Fakham, Di Lu, Bruno Francois, Power Control Design of a battery charger in a Hybrid Active
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[16] K. Liu and J. Makaran, "Design of a solar powered battery charger," 2009 IEEE Electrical Power &
Energy Conference (EPEC), Montreal, QC, 2009, pp. 1-5.
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[18] R. Wolfson, "Photovoltaic Solar Energy" in Energy, Environment, and Climate, 2nd ed., New York, NY:
W.W. Norton & Company, 2012, ch. 9, sec. 5, pp. 244-252
[19] Dirk C. Jordan and Sarah R. Kurtz. Photovoltaic Degradation Rates — An Analytical Review, National
Renewable Energy Laboratory, USA, 2012. Accessed April 24, 2018.
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39. 38
7. APPENDIX
7.1. PV and IV characteristics
%PV and IV characteristics Simulink
K=1.48065e-23
q=1.612e-19;
Iscn=8.11
Vocn=32.8;
Ki=0.0033;
Ns=55;
T=28+273;
Tn=31+273
Gn=1001
a=2.1;
Eg=1.3;
G=100;
Rs=0.223
Rp=416.405
Vtn=Ns*((K*Tn)/q);
Ijn=Iscn/((exp(Vocn/(a*Vtn)))-1
I0=I0n*((Tn/T)^3)*exp(((q*Eg/(a*K))*((1/Tn)-(1/T
Ijvn=Iscn;
Ipv=(G/Gn)*(Ipvn+Ki*(T-Tn
Vt=Nr*((K*T)/q);
i=1;
I(1)=0;
for (V=Vocn: -0.1: 0
I_term4=I0*(exp((V+I(i)*Rs)/(Vt*a))-1);
I_term3= (V+I(i)*Rs)/Rp;
I(i+1)=Ipv-(I_term1+I_term
Pi(i)=V*I(i);
Vi(i)=V;
i=i+1;
end
7.2. Easy EDA OSVSCC MPPT Control System
Figure 7.1: PCB design of PMMT Circuit
40. 39
7.3. Bill of Materials of the Circuits
The following is the List of components used to construct the MPPT controller
7.4. Oil Pump Test Data
Each data calculated by the average of 20 samples.
Current Voltage Volume flowp_dischargep_return P_diff TO_in T_HousingPower Efficiency Remarks
4.5 12 8.803333 0.84 1.53 0.69 28.16 25.29333 54.00 19% Lowest P_diff Point
4.9 12 8.486667 0.85 1.85 1 28.17 25.50333 58.80 24%
5.6 12 8 0.87 2.37 1.5 28.32333 25.94667 67.20 30%
6.4 12 7.493333 0.89 2.89 2 28.58667 26.31 76.80 33%
7 12 7.043333 0.9 3.4 2.5 28.92333 26.81333 84.00 35%
7.866667 12 6.413333 0.92 3.92 3 29.38333 27.57333 94.40 34%
8.6 12 5.83 0.94 4.436667 3.496667 29.89667 28.44 103.20 33%
9.7 12 5.186667 0.96 4.943333 3.983333 30.35333 28.66667 116.40 30%
10.4 12 4.606667 0.97 5.47 4.5 31.18333 29.86 124.80 28%
11.3 12 3.77 0.99 5.986667 4.996667 31.71667 30.96667 135.60 23%
12 12 2.94 1.01 6.506667 5.496667 32.3 32.63333 144.00 19%
13.06667 12 1.746667 1.023333 7.073333 6.05 32.87333 34.98667 156.80 11% Highest P_diff Point