In this paper, design and simulation of a parallel hybrid electric twowheeler motorcycle (PHETM) by means of continuous variable transmission (CVT) is illustrated. For simulation, the parallel hybrid electric power train model type in MATLAB/ADVISOR is customized. The internal combustion engine (ICE) be supposed to drive at elevated efficiency areas, in order to attain enhanced fuel economy and a reduced amount of emission. Simultaneously, the ICE must not activate at values of low torque areas. For that reason, get better it whilst ICE is ON, a new energy control strategy is proposed. In the new strategy, the electrical machine absorbs the extra torque of the ICE. This article proposes a PHETM system to propel the vehicle efficiently with reduced amounts of emission on comparing witha conventional vehicle. This system includes two modes of operations for achieving the better results known as motoring mode and generating mode. The switching from one mode to other is based on the vehicle speed which is sensed in real time. A drive cycle is generated by running the vehicle in normal and slightly gradient condition and finally the results are compared.
This paper discusses about design and analysis of double stator slotted rotor (DSSR) BLDC motor for electric bicycle application. Usually single stator (SS) BLDC motor is used in an electric bicycle. This type of motor has low performance and need to be charged regularly. The objective of this research is to design and analysis DSSR motor that have high torque. At starts, design specification for the electric bicycle is calculated. Next, design process for DSSR is carried out by using the desired parameter. Lastly, analysis for double stator slotted rotor is simulated using FEM. Result for average back emf, average inductance, inner stator flux density, outer stator flux density, average torque and estimate torque constant is obtained. Result for average torque from FEM archieve the requirement of motor torque for DSSR design where the maximum average torque is 16.2 Nm. This research will give benefit to mankind and society in term of environment protection and energy consumption.
6.design fabrication and analysis of tri wheeled electric vehicle (2)EditorJST
In daily life we can observe the difficulties of carrying the patients, old people, physically handicapped in public places like airports, railway stations, bus stands, hospitals, college campuses etc. To aid such people we prepared an electric tri-car to ease the task of carrying them. Moreover, it is a multipurpose vehicle to carry pilgrims in pilgrim places, to carry inspection teams in industries, estates or campuses etc. The seating arrangement of this tri-car is such a way that the disabled can easily get into the vehicle and also get down. This tri-car is designed and analyzed with the help of the soft ware called PROE. Then analysis is done in Statistical and Modal Analysis. We modeled and fabricated a tri-car into a three wheeled electric powered vehicle with three seats and can accommodate two pillions and a driver. We designed the vehicle to be propelled by an electric hub motor mounted in the front wheel and powered by 48V Lithium-ion battery.
Combined Transmission System for hybrid vehicle is the concept of meshing the dual power source - Electrical and Fuel Engine Power. This system based on the chain drives, simple mechanism makes the good operation and it has less maintenance. Normally hybrid vehicle have dual power but alignment of the sources are one in the front another one in the rear respectively. This system fully differ from that, here dual power will act the same side drive.
This paper discusses about design and analysis of double stator slotted rotor (DSSR) BLDC motor for electric bicycle application. Usually single stator (SS) BLDC motor is used in an electric bicycle. This type of motor has low performance and need to be charged regularly. The objective of this research is to design and analysis DSSR motor that have high torque. At starts, design specification for the electric bicycle is calculated. Next, design process for DSSR is carried out by using the desired parameter. Lastly, analysis for double stator slotted rotor is simulated using FEM. Result for average back emf, average inductance, inner stator flux density, outer stator flux density, average torque and estimate torque constant is obtained. Result for average torque from FEM archieve the requirement of motor torque for DSSR design where the maximum average torque is 16.2 Nm. This research will give benefit to mankind and society in term of environment protection and energy consumption.
6.design fabrication and analysis of tri wheeled electric vehicle (2)EditorJST
In daily life we can observe the difficulties of carrying the patients, old people, physically handicapped in public places like airports, railway stations, bus stands, hospitals, college campuses etc. To aid such people we prepared an electric tri-car to ease the task of carrying them. Moreover, it is a multipurpose vehicle to carry pilgrims in pilgrim places, to carry inspection teams in industries, estates or campuses etc. The seating arrangement of this tri-car is such a way that the disabled can easily get into the vehicle and also get down. This tri-car is designed and analyzed with the help of the soft ware called PROE. Then analysis is done in Statistical and Modal Analysis. We modeled and fabricated a tri-car into a three wheeled electric powered vehicle with three seats and can accommodate two pillions and a driver. We designed the vehicle to be propelled by an electric hub motor mounted in the front wheel and powered by 48V Lithium-ion battery.
Combined Transmission System for hybrid vehicle is the concept of meshing the dual power source - Electrical and Fuel Engine Power. This system based on the chain drives, simple mechanism makes the good operation and it has less maintenance. Normally hybrid vehicle have dual power but alignment of the sources are one in the front another one in the rear respectively. This system fully differ from that, here dual power will act the same side drive.
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
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
This paper presents a new design and performance of single phase permanent magnet flux-switching machine (PMFSM) for electric bicycle application. 8Slot-12Pole design machine were choose by analyzing the highest power density value. All active parts such as permanent magnet and armature coil are located on the stator, while the rotor part consists of only single piece iron. PMFSM have a great advantage with robust rotor structure that make it much higher power and applicable for EV application compared to SRM and IPMSM. The design, operating principles, characteristics of torque, and power of this new topology are investigated by JMAG-Designer via a 2D-FEA. Size of motor and volume of PM is designed at 75mm and 80g, respectively. Based on the investigation, it can be concluded that the proposed topology of single phase 8Slot 12Pole PMFSM achieved the target of highest performance of power density, approximately at 0.113W/mm3 with reduced permanent magnet and size of design motor. Due to the low torque performance of this initial design, further works is ongoing to improve the torque performance. In future work, outer rotor PMFSM structure design will be presented and compared with the “Deterministic Optimization Method” to improve the initial design.
Optimal design and static simulation of a hybrid solar vehicleIRJASH
This paper deals with the design and simulation analysis of the hybrid solar vehicle under static conditions. The solar hybrid vehicle is effective in our everyday lives because many people have petrol cars and the emissions and fuel cost is now a serious problem. In addition to controlling vehicles pollution in the city, reduced fuel consumption and hybrid solar car use is used in vehicles to effectively reduce global warming and the environmental challenge in large-scale applications. In the last ten years, research has taken place on a large quantity of solar, hybrid solar and electrically operated cars, which is originating from several independent developments that all resulted in the idea of hybrid solar car and electric operated car. A hybrid solar vehicle was successfully designed, analyzed and fabricated at the end of this research.
Key words: Hybrid Vehicle, Solar vehicle, Fuel Efficiency, Static analysis
In this paper, the regenerative braking system (RBS) is implemented in the hybrid vehicle which is made to run using internal combustion engine and batteries. A regenerative brake is an apparatus, a device or a system which allows the vehicle to recapture and store some part of the kinetic energy that would be 'lost' as heat during applying brake. The total amount of energy lost in this way depends on how many times, how hard and for how long the brakes are applied. Energy lost during braking in this hybrid vehicle is used to recharge the battery. Since regenerative braking results in an additional increase in energy output for a given energy input to a vehicle, the efficiency is improved. It is used to improve the overall efficiency of the vehicle by 25% using RBS. The dynamo is fixed on the rear wheel of the vehicle which is beneficial in two ways, one that it helps to covert the kinetic energy into electrical energy and other that it controls the friction produced inside the wheel which in turn increases the life time of brake pads. Fixed at clearance angle using weld it shifts from wheel hub to wheel rim while application of brake giving more effectiveness to the vehicle.
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
Electric motor drive systems (EMDS) have been recognized as one of the most promising motor systems recently due to their low energy consumption and reduced emissions. With only some exceptions, EMDS are the main source for the provision of mechanical energy in industry and accounts for about 60% of global industrial electricity consumption. Large energy efficiency potentials have been identified in EMDS with very short payback time and high-cost effectiveness. Typical, during operation at rated mode, the motor drive able to hold its good efficiencies. However, a motor usually operates out from rated mode in many applications, especially while under light load, it reduced the motor’s efficiency severely. Hence, it is necessary that a conventional drive system to embed with loss minimization strategy to optimize the drive system efficiency over all operation range. Conventionally, the flux value is keeping constantly over the range of operation, where it should be highlighted that for any operating point, the losses could be minimize with the proper adjustment of the flux level to a suitable value at that point. Hence, with the intention to generate an adaptive flux level corresponding to any operating point, especially at light load condition, an online learning Artificial Neural Network (ANN) controller was proposed in this study, to minimize the system losses. The entire proposed strategic drive system would be verified under the MATLAB/Simulink software environment. It is expected that with the proposed online learning Artificial Neural Network controller efficiency optimization algorithm can achieve better energy saving compared with traditional blended strategies.
In a world where environment protection and energy conversion are growing concerns,the development of solar vehicle has taken on an accele ration pace. The dream of having commercially viable solar vehicle is becoming a rea lity. EV�s are gradually available in the market. This opportunity is taken towards design an d development of Solar two wheeler. Solar vehicle is a multi-disciplinary subject which covers broad and complex aspects. However,it has core technologies,namely propulsio n technology,energy source technology,storage and control technology. As energy source s olar panel is used and developed voltage is stored in battery and used for the drive the hub motor which is used as rare wheel of the vehicle.
Regenerative braking is an energy recovery mechanism that slows down a moving vehicle or object by converting its kinetic energy into a form that can be either used immediately or stored until needed. In this mechanism, when we apply the brake, this system slow down the vehicle and the speed of wheels are in form of rotational energy that is mechanical energy, which transfer to generator where the mechanical energy is converted
into electrical energy and eventually which is stored in the battery.
A kinetic energy recovery system (often known simply as KERS, or kers) is an automotive system for recovering a moving vehicle's kinetic energy under braking. The recovered energy is stored in a reservoir (for example a flywheel or high voltage batteries) for later use under acceleration
Design, development and performance evaluation of solar power assisted tricycleeSAT Journals
Abstract Solar energy is the only source of renewable energy which can be a feasible alternative for fossil fuels. In this work, a solar powered cycle is fabricated by modifying a all geared bicycle. The discussion covers the design, assembly and performance evaluation of the tricycle. The selection of electric motor, solar charger and panels are dealt with. The paper highlights the advantages of dual mode of charging and economic feasibility of the tricycle. Keywords: Eco- friendly, solar charger, Brushless Motor
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
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
This paper presents a new design and performance of single phase permanent magnet flux-switching machine (PMFSM) for electric bicycle application. 8Slot-12Pole design machine were choose by analyzing the highest power density value. All active parts such as permanent magnet and armature coil are located on the stator, while the rotor part consists of only single piece iron. PMFSM have a great advantage with robust rotor structure that make it much higher power and applicable for EV application compared to SRM and IPMSM. The design, operating principles, characteristics of torque, and power of this new topology are investigated by JMAG-Designer via a 2D-FEA. Size of motor and volume of PM is designed at 75mm and 80g, respectively. Based on the investigation, it can be concluded that the proposed topology of single phase 8Slot 12Pole PMFSM achieved the target of highest performance of power density, approximately at 0.113W/mm3 with reduced permanent magnet and size of design motor. Due to the low torque performance of this initial design, further works is ongoing to improve the torque performance. In future work, outer rotor PMFSM structure design will be presented and compared with the “Deterministic Optimization Method” to improve the initial design.
Optimal design and static simulation of a hybrid solar vehicleIRJASH
This paper deals with the design and simulation analysis of the hybrid solar vehicle under static conditions. The solar hybrid vehicle is effective in our everyday lives because many people have petrol cars and the emissions and fuel cost is now a serious problem. In addition to controlling vehicles pollution in the city, reduced fuel consumption and hybrid solar car use is used in vehicles to effectively reduce global warming and the environmental challenge in large-scale applications. In the last ten years, research has taken place on a large quantity of solar, hybrid solar and electrically operated cars, which is originating from several independent developments that all resulted in the idea of hybrid solar car and electric operated car. A hybrid solar vehicle was successfully designed, analyzed and fabricated at the end of this research.
Key words: Hybrid Vehicle, Solar vehicle, Fuel Efficiency, Static analysis
In this paper, the regenerative braking system (RBS) is implemented in the hybrid vehicle which is made to run using internal combustion engine and batteries. A regenerative brake is an apparatus, a device or a system which allows the vehicle to recapture and store some part of the kinetic energy that would be 'lost' as heat during applying brake. The total amount of energy lost in this way depends on how many times, how hard and for how long the brakes are applied. Energy lost during braking in this hybrid vehicle is used to recharge the battery. Since regenerative braking results in an additional increase in energy output for a given energy input to a vehicle, the efficiency is improved. It is used to improve the overall efficiency of the vehicle by 25% using RBS. The dynamo is fixed on the rear wheel of the vehicle which is beneficial in two ways, one that it helps to covert the kinetic energy into electrical energy and other that it controls the friction produced inside the wheel which in turn increases the life time of brake pads. Fixed at clearance angle using weld it shifts from wheel hub to wheel rim while application of brake giving more effectiveness to the vehicle.
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
Electric motor drive systems (EMDS) have been recognized as one of the most promising motor systems recently due to their low energy consumption and reduced emissions. With only some exceptions, EMDS are the main source for the provision of mechanical energy in industry and accounts for about 60% of global industrial electricity consumption. Large energy efficiency potentials have been identified in EMDS with very short payback time and high-cost effectiveness. Typical, during operation at rated mode, the motor drive able to hold its good efficiencies. However, a motor usually operates out from rated mode in many applications, especially while under light load, it reduced the motor’s efficiency severely. Hence, it is necessary that a conventional drive system to embed with loss minimization strategy to optimize the drive system efficiency over all operation range. Conventionally, the flux value is keeping constantly over the range of operation, where it should be highlighted that for any operating point, the losses could be minimize with the proper adjustment of the flux level to a suitable value at that point. Hence, with the intention to generate an adaptive flux level corresponding to any operating point, especially at light load condition, an online learning Artificial Neural Network (ANN) controller was proposed in this study, to minimize the system losses. The entire proposed strategic drive system would be verified under the MATLAB/Simulink software environment. It is expected that with the proposed online learning Artificial Neural Network controller efficiency optimization algorithm can achieve better energy saving compared with traditional blended strategies.
In a world where environment protection and energy conversion are growing concerns,the development of solar vehicle has taken on an accele ration pace. The dream of having commercially viable solar vehicle is becoming a rea lity. EV�s are gradually available in the market. This opportunity is taken towards design an d development of Solar two wheeler. Solar vehicle is a multi-disciplinary subject which covers broad and complex aspects. However,it has core technologies,namely propulsio n technology,energy source technology,storage and control technology. As energy source s olar panel is used and developed voltage is stored in battery and used for the drive the hub motor which is used as rare wheel of the vehicle.
Regenerative braking is an energy recovery mechanism that slows down a moving vehicle or object by converting its kinetic energy into a form that can be either used immediately or stored until needed. In this mechanism, when we apply the brake, this system slow down the vehicle and the speed of wheels are in form of rotational energy that is mechanical energy, which transfer to generator where the mechanical energy is converted
into electrical energy and eventually which is stored in the battery.
A kinetic energy recovery system (often known simply as KERS, or kers) is an automotive system for recovering a moving vehicle's kinetic energy under braking. The recovered energy is stored in a reservoir (for example a flywheel or high voltage batteries) for later use under acceleration
Design, development and performance evaluation of solar power assisted tricycleeSAT Journals
Abstract Solar energy is the only source of renewable energy which can be a feasible alternative for fossil fuels. In this work, a solar powered cycle is fabricated by modifying a all geared bicycle. The discussion covers the design, assembly and performance evaluation of the tricycle. The selection of electric motor, solar charger and panels are dealt with. The paper highlights the advantages of dual mode of charging and economic feasibility of the tricycle. Keywords: Eco- friendly, solar charger, Brushless Motor
International Journal of Engineering and Science Invention (IJESI)inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Design and Fabrication of Regenerative Braking in EVvivatechijri
Charging has always been an issue in electrical vehicles. In this project, the kinetic energy is
transmitted in the brakes through drive train and is directed by a mechanical system to the potential store during
deceleration. That energy is held until required to the vehicle, wherein it is transformed back into energy and
stored in the battery of the vehicle. The amount of the power available for conservation varies depending on the
type of storage, drivetrain efficiency, and drive cycle and inertia weight. When a normal vehicle applies its brake,
its kinetic energy is transformed to heat because of friction between wheels and brake pad. This heat passes
through the air and the energy is wasted. The total energy lost in this way depends on how often, long and hard
the brake is being applied. An energy conversion action in which a part of the energy of the vehicle is stored by a
battery or storage device is known as regenerative braking. Driving within a city involves more braking
representing a high loss of energy with the opportunity for savings in energy. In the case of public transport
vehicles such as local trains, buses, taxis, delivery vehicles there is even more potential for energy to be
regenerated
Fuzzy logic-based energy management strategy on dual-source hybridization fo...IJECEIAES
This paper presents a fuzzy logic controller (FLC) based energy management strategy (EMS), combined with power filtering for a pure electric vehicle. The electrical power supply is provided by a hybrid energy storage system (HESS), including Li-Ion battery and supercapacitors (SCs), adopting a fully active parallel topology. The vehicle model was organized and constructed using the energetic macroscopic representation (EMR). The main objective of this work is to ensure an efficient power distribution in the proposed dual source, in order to reduce the battery degradation. To evaluate the impact of the developed design and the efficiency of the developed EMS, the proposed FLC strategy is compared to a classical EMS using SCs-filtering strategy and architecture based on battery storage model. To validate the proposed topology, simulation results are provided for the new European driving cycle (NEDC) using MATLAB/Simulink environment.
The energy consumption of electric vehicles (EVs)depends on traffic environment, terrain, resistive forces acting on vehicle, vehicle characteristics and driving habits of driver. The battery pack in EV is the main energy storage element and the energy capacity determines the range of vehicle. This paper discusses the behavior of battery when EV is subjected to different driving environments such as urban and highway. The battery rating is selected based on requirement of driving cycle. The MATLAB/Simulink model of battery energy storage system (BESS) consisting of battery, bidirectional DC/DCconverter and electric propulsion system is built. The simulation is carried out and the performance of BESS is tested for standard driving cycles which emulate actual driving situations. It has been shown that, the amount of the energy recovered by battery during deceleration depends on the amount of regenerative energy available in the driving cycle. If the battery recovers more energy during deceleration, the effective energy consumed by it reduces and the range of the vehicle increases.
regenerative breaking is energy conversion method .by using conventional braking more energy is lossed in the form of heat by using this we can convert this energy into usefull forms
Free Powered Electric Vehicle_Designed by Pranav NavathePranavNavathe
In today’s world the rapid growth in automobile industry requested most accurate and high
performable vehicles, with pollution free and low cost in operation. The project free powered electric
vehicle is an automobile which works on the principle of generating electricity with the help of
synchronous electric motor and generator with attached fly wheel, boosting circuit which acts as a
free powering machine by restoring waste mechanical energy into useful electric work. This device
consists of one electric motor and generator with attached fly wheel in centre so that it connected
with motor and generator with belt pulleys. When an mechanical input is given to the generator with
help of stator its produces electricity later which is passed to motor as input so, motor rotates the
attached flywheel then the stored kinetic energy in the flywheel is utilized to multiply the rotations of
generator shaft to produce electricity with little effort on motor in this way cycle repeated and from
produced electricity some amount of electricity taken as output which is used for charging batteries,
accessories of the electric vehicle. Such that vehicle is propelled.
Similar to Fuel enhancement of parallel hybrid electric two-wheeler motorcycle (20)
Bibliometric analysis highlighting the role of women in addressing climate ch...IJECEIAES
Fossil fuel consumption increased quickly, contributing to climate change
that is evident in unusual flooding and draughts, and global warming. Over
the past ten years, women's involvement in society has grown dramatically,
and they succeeded in playing a noticeable role in reducing climate change.
A bibliometric analysis of data from the last ten years has been carried out to
examine the role of women in addressing the climate change. The analysis's
findings discussed the relevant to the sustainable development goals (SDGs),
particularly SDG 7 and SDG 13. The results considered contributions made
by women in the various sectors while taking geographic dispersion into
account. The bibliometric analysis delves into topics including women's
leadership in environmental groups, their involvement in policymaking, their
contributions to sustainable development projects, and the influence of
gender diversity on attempts to mitigate climate change. This study's results
highlight how women have influenced policies and actions related to climate
change, point out areas of research deficiency and recommendations on how
to increase role of the women in addressing the climate change and
achieving sustainability. To achieve more successful results, this initiative
aims to highlight the significance of gender equality and encourage
inclusivity in climate change decision-making processes.
Voltage and frequency control of microgrid in presence of micro-turbine inter...IJECEIAES
The active and reactive load changes have a significant impact on voltage
and frequency. In this paper, in order to stabilize the microgrid (MG) against
load variations in islanding mode, the active and reactive power of all
distributed generators (DGs), including energy storage (battery), diesel
generator, and micro-turbine, are controlled. The micro-turbine generator is
connected to MG through a three-phase to three-phase matrix converter, and
the droop control method is applied for controlling the voltage and
frequency of MG. In addition, a method is introduced for voltage and
frequency control of micro-turbines in the transition state from gridconnected mode to islanding mode. A novel switching strategy of the matrix
converter is used for converting the high-frequency output voltage of the
micro-turbine to the grid-side frequency of the utility system. Moreover,
using the switching strategy, the low-order harmonics in the output current
and voltage are not produced, and consequently, the size of the output filter
would be reduced. In fact, the suggested control strategy is load-independent
and has no frequency conversion restrictions. The proposed approach for
voltage and frequency regulation demonstrates exceptional performance and
favorable response across various load alteration scenarios. The suggested
strategy is examined in several scenarios in the MG test systems, and the
simulation results are addressed.
Enhancing battery system identification: nonlinear autoregressive modeling fo...IJECEIAES
Precisely characterizing Li-ion batteries is essential for optimizing their
performance, enhancing safety, and prolonging their lifespan across various
applications, such as electric vehicles and renewable energy systems. This
article introduces an innovative nonlinear methodology for system
identification of a Li-ion battery, employing a nonlinear autoregressive with
exogenous inputs (NARX) model. The proposed approach integrates the
benefits of nonlinear modeling with the adaptability of the NARX structure,
facilitating a more comprehensive representation of the intricate
electrochemical processes within the battery. Experimental data collected
from a Li-ion battery operating under diverse scenarios are employed to
validate the effectiveness of the proposed methodology. The identified
NARX model exhibits superior accuracy in predicting the battery's behavior
compared to traditional linear models. This study underscores the
importance of accounting for nonlinearities in battery modeling, providing
insights into the intricate relationships between state-of-charge, voltage, and
current under dynamic conditions.
Smart grid deployment: from a bibliometric analysis to a surveyIJECEIAES
Smart grids are one of the last decades' innovations in electrical energy.
They bring relevant advantages compared to the traditional grid and
significant interest from the research community. Assessing the field's
evolution is essential to propose guidelines for facing new and future smart
grid challenges. In addition, knowing the main technologies involved in the
deployment of smart grids (SGs) is important to highlight possible
shortcomings that can be mitigated by developing new tools. This paper
contributes to the research trends mentioned above by focusing on two
objectives. First, a bibliometric analysis is presented to give an overview of
the current research level about smart grid deployment. Second, a survey of
the main technological approaches used for smart grid implementation and
their contributions are highlighted. To that effect, we searched the Web of
Science (WoS), and the Scopus databases. We obtained 5,663 documents
from WoS and 7,215 from Scopus on smart grid implementation or
deployment. With the extraction limitation in the Scopus database, 5,872 of
the 7,215 documents were extracted using a multi-step process. These two
datasets have been analyzed using a bibliometric tool called bibliometrix.
The main outputs are presented with some recommendations for future
research.
Use of analytical hierarchy process for selecting and prioritizing islanding ...IJECEIAES
One of the problems that are associated to power systems is islanding
condition, which must be rapidly and properly detected to prevent any
negative consequences on the system's protection, stability, and security.
This paper offers a thorough overview of several islanding detection
strategies, which are divided into two categories: classic approaches,
including local and remote approaches, and modern techniques, including
techniques based on signal processing and computational intelligence.
Additionally, each approach is compared and assessed based on several
factors, including implementation costs, non-detected zones, declining
power quality, and response times using the analytical hierarchy process
(AHP). The multi-criteria decision-making analysis shows that the overall
weight of passive methods (24.7%), active methods (7.8%), hybrid methods
(5.6%), remote methods (14.5%), signal processing-based methods (26.6%),
and computational intelligent-based methods (20.8%) based on the
comparison of all criteria together. Thus, it can be seen from the total weight
that hybrid approaches are the least suitable to be chosen, while signal
processing-based methods are the most appropriate islanding detection
method to be selected and implemented in power system with respect to the
aforementioned factors. Using Expert Choice software, the proposed
hierarchy model is studied and examined.
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...IJECEIAES
The power generated by photovoltaic (PV) systems is influenced by
environmental factors. This variability hampers the control and utilization of
solar cells' peak output. In this study, a single-stage grid-connected PV
system is designed to enhance power quality. Our approach employs fuzzy
logic in the direct power control (DPC) of a three-phase voltage source
inverter (VSI), enabling seamless integration of the PV connected to the
grid. Additionally, a fuzzy logic-based maximum power point tracking
(MPPT) controller is adopted, which outperforms traditional methods like
incremental conductance (INC) in enhancing solar cell efficiency and
minimizing the response time. Moreover, the inverter's real-time active and
reactive power is directly managed to achieve a unity power factor (UPF).
The system's performance is assessed through MATLAB/Simulink
implementation, showing marked improvement over conventional methods,
particularly in steady-state and varying weather conditions. For solar
irradiances of 500 and 1,000 W/m2
, the results show that the proposed
method reduces the total harmonic distortion (THD) of the injected current
to the grid by approximately 46% and 38% compared to conventional
methods, respectively. Furthermore, we compare the simulation results with
IEEE standards to evaluate the system's grid compatibility.
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...IJECEIAES
Photovoltaic systems have emerged as a promising energy resource that
caters to the future needs of society, owing to their renewable, inexhaustible,
and cost-free nature. The power output of these systems relies on solar cell
radiation and temperature. In order to mitigate the dependence on
atmospheric conditions and enhance power tracking, a conventional
approach has been improved by integrating various methods. To optimize
the generation of electricity from solar systems, the maximum power point
tracking (MPPT) technique is employed. To overcome limitations such as
steady-state voltage oscillations and improve transient response, two
traditional MPPT methods, namely fuzzy logic controller (FLC) and perturb
and observe (P&O), have been modified. This research paper aims to
simulate and validate the step size of the proposed modified P&O and FLC
techniques within the MPPT algorithm using MATLAB/Simulink for
efficient power tracking in photovoltaic systems.
Adaptive synchronous sliding control for a robot manipulator based on neural ...IJECEIAES
Robot manipulators have become important equipment in production lines, medical fields, and transportation. Improving the quality of trajectory tracking for
robot hands is always an attractive topic in the research community. This is a
challenging problem because robot manipulators are complex nonlinear systems
and are often subject to fluctuations in loads and external disturbances. This
article proposes an adaptive synchronous sliding control scheme to improve trajectory tracking performance for a robot manipulator. The proposed controller
ensures that the positions of the joints track the desired trajectory, synchronize
the errors, and significantly reduces chattering. First, the synchronous tracking
errors and synchronous sliding surfaces are presented. Second, the synchronous
tracking error dynamics are determined. Third, a robust adaptive control law is
designed,the unknown components of the model are estimated online by the neural network, and the parameters of the switching elements are selected by fuzzy
logic. The built algorithm ensures that the tracking and approximation errors
are ultimately uniformly bounded (UUB). Finally, the effectiveness of the constructed algorithm is demonstrated through simulation and experimental results.
Simulation and experimental results show that the proposed controller is effective with small synchronous tracking errors, and the chattering phenomenon is
significantly reduced.
Remote field-programmable gate array laboratory for signal acquisition and de...IJECEIAES
A remote laboratory utilizing field-programmable gate array (FPGA) technologies enhances students’ learning experience anywhere and anytime in embedded system design. Existing remote laboratories prioritize hardware access and visual feedback for observing board behavior after programming, neglecting comprehensive debugging tools to resolve errors that require internal signal acquisition. This paper proposes a novel remote embeddedsystem design approach targeting FPGA technologies that are fully interactive via a web-based platform. Our solution provides FPGA board access and debugging capabilities beyond the visual feedback provided by existing remote laboratories. We implemented a lab module that allows users to seamlessly incorporate into their FPGA design. The module minimizes hardware resource utilization while enabling the acquisition of a large number of data samples from the signal during the experiments by adaptively compressing the signal prior to data transmission. The results demonstrate an average compression ratio of 2.90 across three benchmark signals, indicating efficient signal acquisition and effective debugging and analysis. This method allows users to acquire more data samples than conventional methods. The proposed lab allows students to remotely test and debug their designs, bridging the gap between theory and practice in embedded system design.
Detecting and resolving feature envy through automated machine learning and m...IJECEIAES
Efficiently identifying and resolving code smells enhances software project quality. This paper presents a novel solution, utilizing automated machine learning (AutoML) techniques, to detect code smells and apply move method refactoring. By evaluating code metrics before and after refactoring, we assessed its impact on coupling, complexity, and cohesion. Key contributions of this research include a unique dataset for code smell classification and the development of models using AutoGluon for optimal performance. Furthermore, the study identifies the top 20 influential features in classifying feature envy, a well-known code smell, stemming from excessive reliance on external classes. We also explored how move method refactoring addresses feature envy, revealing reduced coupling and complexity, and improved cohesion, ultimately enhancing code quality. In summary, this research offers an empirical, data-driven approach, integrating AutoML and move method refactoring to optimize software project quality. Insights gained shed light on the benefits of refactoring on code quality and the significance of specific features in detecting feature envy. Future research can expand to explore additional refactoring techniques and a broader range of code metrics, advancing software engineering practices and standards.
Smart monitoring technique for solar cell systems using internet of things ba...IJECEIAES
Rapidly and remotely monitoring and receiving the solar cell systems status parameters, solar irradiance, temperature, and humidity, are critical issues in enhancement their efficiency. Hence, in the present article an improved smart prototype of internet of things (IoT) technique based on embedded system through NodeMCU ESP8266 (ESP-12E) was carried out experimentally. Three different regions at Egypt; Luxor, Cairo, and El-Beheira cities were chosen to study their solar irradiance profile, temperature, and humidity by the proposed IoT system. The monitoring data of solar irradiance, temperature, and humidity were live visualized directly by Ubidots through hypertext transfer protocol (HTTP) protocol. The measured solar power radiation in Luxor, Cairo, and El-Beheira ranged between 216-1000, 245-958, and 187-692 W/m 2 respectively during the solar day. The accuracy and rapidity of obtaining monitoring results using the proposed IoT system made it a strong candidate for application in monitoring solar cell systems. On the other hand, the obtained solar power radiation results of the three considered regions strongly candidate Luxor and Cairo as suitable places to build up a solar cells system station rather than El-Beheira.
An efficient security framework for intrusion detection and prevention in int...IJECEIAES
Over the past few years, the internet of things (IoT) has advanced to connect billions of smart devices to improve quality of life. However, anomalies or malicious intrusions pose several security loopholes, leading to performance degradation and threat to data security in IoT operations. Thereby, IoT security systems must keep an eye on and restrict unwanted events from occurring in the IoT network. Recently, various technical solutions based on machine learning (ML) models have been derived towards identifying and restricting unwanted events in IoT. However, most ML-based approaches are prone to miss-classification due to inappropriate feature selection. Additionally, most ML approaches applied to intrusion detection and prevention consider supervised learning, which requires a large amount of labeled data to be trained. Consequently, such complex datasets are impossible to source in a large network like IoT. To address this problem, this proposed study introduces an efficient learning mechanism to strengthen the IoT security aspects. The proposed algorithm incorporates supervised and unsupervised approaches to improve the learning models for intrusion detection and mitigation. Compared with the related works, the experimental outcome shows that the model performs well in a benchmark dataset. It accomplishes an improved detection accuracy of approximately 99.21%.
Developing a smart system for infant incubators using the internet of things ...IJECEIAES
This research is developing an incubator system that integrates the internet of things and artificial intelligence to improve care for premature babies. The system workflow starts with sensors that collect data from the incubator. Then, the data is sent in real-time to the internet of things (IoT) broker eclipse mosquito using the message queue telemetry transport (MQTT) protocol version 5.0. After that, the data is stored in a database for analysis using the long short-term memory network (LSTM) method and displayed in a web application using an application programming interface (API) service. Furthermore, the experimental results produce as many as 2,880 rows of data stored in the database. The correlation coefficient between the target attribute and other attributes ranges from 0.23 to 0.48. Next, several experiments were conducted to evaluate the model-predicted value on the test data. The best results are obtained using a two-layer LSTM configuration model, each with 60 neurons and a lookback setting 6. This model produces an R 2 value of 0.934, with a root mean square error (RMSE) value of 0.015 and a mean absolute error (MAE) of 0.008. In addition, the R 2 value was also evaluated for each attribute used as input, with a result of values between 0.590 and 0.845.
A review on internet of things-based stingless bee's honey production with im...IJECEIAES
Honey is produced exclusively by honeybees and stingless bees which both are well adapted to tropical and subtropical regions such as Malaysia. Stingless bees are known for producing small amounts of honey and are known for having a unique flavor profile. Problem identified that many stingless bees collapsed due to weather, temperature and environment. It is critical to understand the relationship between the production of stingless bee honey and environmental conditions to improve honey production. Thus, this paper presents a review on stingless bee's honey production and prediction modeling. About 54 previous research has been analyzed and compared in identifying the research gaps. A framework on modeling the prediction of stingless bee honey is derived. The result presents the comparison and analysis on the internet of things (IoT) monitoring systems, honey production estimation, convolution neural networks (CNNs), and automatic identification methods on bee species. It is identified based on image detection method the top best three efficiency presents CNN is at 98.67%, densely connected convolutional networks with YOLO v3 is 97.7%, and DenseNet201 convolutional networks 99.81%. This study is significant to assist the researcher in developing a model for predicting stingless honey produced by bee's output, which is important for a stable economy and food security.
A trust based secure access control using authentication mechanism for intero...IJECEIAES
The internet of things (IoT) is a revolutionary innovation in many aspects of our society including interactions, financial activity, and global security such as the military and battlefield internet. Due to the limited energy and processing capacity of network devices, security, energy consumption, compatibility, and device heterogeneity are the long-term IoT problems. As a result, energy and security are critical for data transmission across edge and IoT networks. Existing IoT interoperability techniques need more computation time, have unreliable authentication mechanisms that break easily, lose data easily, and have low confidentiality. In this paper, a key agreement protocol-based authentication mechanism for IoT devices is offered as a solution to this issue. This system makes use of information exchange, which must be secured to prevent access by unauthorized users. Using a compact contiki/cooja simulator, the performance and design of the suggested framework are validated. The simulation findings are evaluated based on detection of malicious nodes after 60 minutes of simulation. The suggested trust method, which is based on privacy access control, reduced packet loss ratio to 0.32%, consumed 0.39% power, and had the greatest average residual energy of 0.99 mJoules at 10 nodes.
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbersIJECEIAES
In real world applications, data are subject to ambiguity due to several factors; fuzzy sets and fuzzy numbers propose a great tool to model such ambiguity. In case of hesitation, the complement of a membership value in fuzzy numbers can be different from the non-membership value, in which case we can model using intuitionistic fuzzy numbers as they provide flexibility by defining both a membership and a non-membership functions. In this article, we consider the intuitionistic fuzzy linear programming problem with intuitionistic polygonal fuzzy numbers, which is a generalization of the previous polygonal fuzzy numbers found in the literature. We present a modification of the simplex method that can be used to solve any general intuitionistic fuzzy linear programming problem after approximating the problem by an intuitionistic polygonal fuzzy number with n edges. This method is given in a simple tableau formulation, and then applied on numerical examples for clarity.
The performance of artificial intelligence in prostate magnetic resonance im...IJECEIAES
Prostate cancer is the predominant form of cancer observed in men worldwide. The application of magnetic resonance imaging (MRI) as a guidance tool for conducting biopsies has been established as a reliable and well-established approach in the diagnosis of prostate cancer. The diagnostic performance of MRI-guided prostate cancer diagnosis exhibits significant heterogeneity due to the intricate and multi-step nature of the diagnostic pathway. The development of artificial intelligence (AI) models, specifically through the utilization of machine learning techniques such as deep learning, is assuming an increasingly significant role in the field of radiology. In the realm of prostate MRI, a considerable body of literature has been dedicated to the development of various AI algorithms. These algorithms have been specifically designed for tasks such as prostate segmentation, lesion identification, and classification. The overarching objective of these endeavors is to enhance diagnostic performance and foster greater agreement among different observers within MRI scans for the prostate. This review article aims to provide a concise overview of the application of AI in the field of radiology, with a specific focus on its utilization in prostate MRI.
Seizure stage detection of epileptic seizure using convolutional neural networksIJECEIAES
According to the World Health Organization (WHO), seventy million individuals worldwide suffer from epilepsy, a neurological disorder. While electroencephalography (EEG) is crucial for diagnosing epilepsy and monitoring the brain activity of epilepsy patients, it requires a specialist to examine all EEG recordings to find epileptic behavior. This procedure needs an experienced doctor, and a precise epilepsy diagnosis is crucial for appropriate treatment. To identify epileptic seizures, this study employed a convolutional neural network (CNN) based on raw scalp EEG signals to discriminate between preictal, ictal, postictal, and interictal segments. The possibility of these characteristics is explored by examining how well timedomain signals work in the detection of epileptic signals using intracranial Freiburg Hospital (FH), scalp Children's Hospital Boston-Massachusetts Institute of Technology (CHB-MIT) databases, and Temple University Hospital (TUH) EEG. To test the viability of this approach, two types of experiments were carried out. Firstly, binary class classification (preictal, ictal, postictal each versus interictal) and four-class classification (interictal versus preictal versus ictal versus postictal). The average accuracy for stage detection using CHB-MIT database was 84.4%, while the Freiburg database's time-domain signals had an accuracy of 79.7% and the highest accuracy of 94.02% for classification in the TUH EEG database when comparing interictal stage to preictal stage.
Analysis of driving style using self-organizing maps to analyze driver behaviorIJECEIAES
Modern life is strongly associated with the use of cars, but the increase in acceleration speeds and their maneuverability leads to a dangerous driving style for some drivers. In these conditions, the development of a method that allows you to track the behavior of the driver is relevant. The article provides an overview of existing methods and models for assessing the functioning of motor vehicles and driver behavior. Based on this, a combined algorithm for recognizing driving style is proposed. To do this, a set of input data was formed, including 20 descriptive features: About the environment, the driver's behavior and the characteristics of the functioning of the car, collected using OBD II. The generated data set is sent to the Kohonen network, where clustering is performed according to driving style and degree of danger. Getting the driving characteristics into a particular cluster allows you to switch to the private indicators of an individual driver and considering individual driving characteristics. The application of the method allows you to identify potentially dangerous driving styles that can prevent accidents.
Hyperspectral object classification using hybrid spectral-spatial fusion and ...IJECEIAES
Because of its spectral-spatial and temporal resolution of greater areas, hyperspectral imaging (HSI) has found widespread application in the field of object classification. The HSI is typically used to accurately determine an object's physical characteristics as well as to locate related objects with appropriate spectral fingerprints. As a result, the HSI has been extensively applied to object identification in several fields, including surveillance, agricultural monitoring, environmental research, and precision agriculture. However, because of their enormous size, objects require a lot of time to classify; for this reason, both spectral and spatial feature fusion have been completed. The existing classification strategy leads to increased misclassification, and the feature fusion method is unable to preserve semantic object inherent features; This study addresses the research difficulties by introducing a hybrid spectral-spatial fusion (HSSF) technique to minimize feature size while maintaining object intrinsic qualities; Lastly, a soft-margins kernel is proposed for multi-layer deep support vector machine (MLDSVM) to reduce misclassification. The standard Indian pines dataset is used for the experiment, and the outcome demonstrates that the HSSF-MLDSVM model performs substantially better in terms of accuracy and Kappa coefficient.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
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techniques which includes the concept of hybridization [20, 21]. The minority companies created a quantity
of experimental form of hybrid electric motorcycle (HEM) rather than four-wheeler vehicles. For instance,
Tong et al., altered a conventional motorcycle to parallel hybrid electric motorcycle. This alteration was
accomplished by affixing an electric motor passing through gearbox towards rear wheel of the vehicle [22].
Pierluigi Pisu et al premeditated about HEV efficiency and also concentrated with various topologies on
the energy management strategies [23]. The conversion to a hybrid vehicle from a conventional vehicle can
be easily achieved by through the road (TTR) structure. The electric machine is coupled to one axle and
engine to other axle, i.e they are not connected to the rear wheel in the TTR structure of hybrid vehicle.
Thus, whilst the vehicle is moving the power transmission is done by way of road and wheels from the ICE
to motor/generator [24]. Matthew Young et al introduced a control strategy to renovate a 2005 model
(Chevrolet Equinox) to a parallel HEV with TTR concept [25].
2. PROPOSED SYSTEM
In this paper, at first a design of parallel hybrid electric two-wheeler motorcycle PHETM is done
with CVT and batteries (lead acid). The proposed PHETM has an electric motor connected to rear wheel
using belt drive and it can run even in electric mode alone, to stay away from the ICE running at low powers.
After that to simulate the model, the Parallel Hybrid Electric power train type in the MATLAB/ADVISOR is
proposed. Finally, for parallel hybrid electric two-wheeler motorcycle a new control strategy is brought in to
minimize the fuel consumption and emission. Based on this proposed control strategy the simulation is done.
Also the hardware implementation is carried out. The output of this proposed strategy is matched up to
the results of conservative motorcycle.
As seen in Figure 1, the proposed system consists of an electrical energy flow assisting
the mechanical energy flow. The former is by battery powered electric motor and the latter is due to engine.
Both the engine and electric motor is connected to the rear wheel of the two wheeler. The motor assists
the engine. The vehicle is said to operate in electric mode if the motor alone propels the two wheeler and
same way if engine is propelling the vehicle without electrical energy, then the vehicle is in engine mode.
A motor controller is used to power the electric motor via battery. When the battery charge (SoC) is low,
the above mentioned engine mode comes into role. Similarly, if battery is with sufficient charge and fuel tank
is with less fuel, the vehicle can be operated in electric mode.
Figure 1. Block diagram of proposed system
3. DESIGN OF A PHETM
3.1. Design calculation using vehicle dynamics
The desired motorcycle should be capable enough to meet out the speed and time namely, it has to
attain top speed of 50 km/hr, and the acceleration time of 10 seconds is require to reach from zero to speed of
40 Km/hr. The designed motorcycle ought to be proficient to cruise in the road with grade of 10% at
the speed of 20Km/hr.
The motorcycle should simultaneously retain the requisite acceleration and also capable to rise
above the resistive forces. The motorcycle considered for remodelling is the TVS SCOOTY ES. The required
power to triumph over the forces is able to estimate from the following equations. Total Tractive Force (Ft)
of the vehicle is given by:
𝐹𝑡 = 𝐹𝑟 + 𝐹𝑔 + 𝐹𝑑 (1)
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The Fr is the tyre rolling resistance, which is required by the vehicle to overcome the tyre and road
resistances. Also the gravitational force feigning on the vehicle is represented by equation (3) and the air drag
resistance is a force around vehicle body, which is formed by the flow of turbulent air. This air drag
resistance can be sketched through the formula in (4).
Tire Rolling Resistance = 𝐹𝑟 = 𝐶𝑟𝑟 ∗ 𝑚 𝑣𝑒ℎ ∗ 𝑔 𝑎𝑐𝑐 (2)
Force Due to Gradient = 𝐹𝑔 = 𝑚 𝑣𝑒ℎ ∗ 𝑔 𝑎𝑐𝑐 ∗ sin 𝜃𝑔 (3)
Force Due to Air Drag Resistance = 𝐹𝑑 =
⍴
2
∗ 𝐶 𝑑 ∗ 𝐴 𝑓 ∗ 𝑉2
(4)
Here, Crr - Wheel Rolling Resistance Coefficient, mveh-Mass of the vehicle in kg, gacc- acceleration due to
gravity in m/sec2
, sinθg-inclination angle in rad, ⍴- air density in kg/m3
,Af- Frontal Area of the wheel,V2
-
Speed of the vehicle in km/hr. The specifications of the two wheeler are mentioned below, which is a 2
stroke, 60cc engine. Hence the BLDC Motor with maximum power 500W, 48V, with a rotor diameter of
24.5cm and weight of 5.5kg specifications is selected to match with ICE power and torque.In the Table 1
the specifications of the two wheeler considered for (Scooty Es) testing is mentioned.
Table 1. Specifications of the two wheeler (Scooty Es)
Air Drag coefficient (𝐶 𝑑) 0.88
Frontal Area of the wheel (𝐴𝑓) 3.9m2
Mass of the vehicle(𝑚 𝑣𝑒ℎ) 63kg
Wheel Rolling Resistance Coefficient (𝐶𝑟𝑟) 0.004
Tank Capacity 3.5 L
Wheel Base 1165mm
3.2. Simulation
The simulation was done for parallel hybrid electric vehicle with ECE drive cycle for 2 cycles.
Hence the cycles for 400 seconds is considered. As shown in the Figure 2, the fuel consumption in L/100km
is 6.4 litres. The total distance was considered as 2km. From the Figure 2, it is clear that the battery SoC
drops while the emissions reduce. At some stage, in the acceleration/cruising modes, the proposed control
strategy is with the intention that, only the electric motor propels the motorcycle in case if the power demand
is low. But ICE propels the vehicle if in case the power required is flanked by any definite constraints. Under
such circumstances, motor acts like generator and the batteries are charged (if required). The maximum
power is 500 watt. The control strategy is such that the SoC of the battery becomes with reference to 0.7.
Consequently, the power becomes negative, if SoC is greater than 0.7. It is inferred from this that electric
motor aids the ICE and a fraction of necessary power is supplied. If SoC is less than 0.7, a part of the ICE
power is taken up by the electric motor and also the battery is charged as mentioned before.
Figure 2. Simulation results
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3.3. Hardware implementation
3.3.1. Mechanical integration of electric motor and ICE
Based on the design calculations electric motor is selected. To power this motor a battery is
required. In general there are two types of batteries. The primary batteries are disposable and rechargeable
type comes under secondary batteries. For automotive applications, secondary batteries are preferred due to
their rechargeable property. Hence, a lead acid battery of 12V is used in 4 numbers. These batteries are
connected in series to form a 48V power supply to the electric drive circuit which is shown in Figure 3.
A bed is designed and machined to fix the motor in the vehicle as shown in Figure 4. Mild Steel is
used for the purpose of Bed. A Mild steel plate of thickness ‘40mm’ is cut as per dimensions of L ‘ 280 mm’
B ‘115mm’ for the purpose of bed. The one end of Mild Steel plate is Arc welded with a hinge, the hinge is
welded to the frame of the vehicle. Hinge is used to adjust the height of the bed at the same time limit
the height adjustment, the other end of the plate is welded with bolt of ‘60mm’ which is vertically welded to
the frame of the vehicle. Chain drive is used to connect the motor shaft with the wheel. Chain drives links are
meshed with toothed sprockets.
Chain sprockets are locked to the shafts of the driver and driven machinery. The driver sprocket is
connected to motor shaft, the driven sprocket is slightly modified to function as rotating shaft as well as lock
nut for the wheel. For this to happen the bore of the driven sprocket is wire cut to the shape of a lock nut and
then the lock nut is fixed with the sprocket, this modified sprocket functions as driven sprocket coupled with
drive shaft and at the same time locks the wheel to drive shaft shown in Figure 5. The chain drive
specifications are Pitch = 13 mm, Inside width = 4.8mm, Roller diameter = 8mm, Chain length = 45 *13 =
585mm.
Figure 3. Batery and drive, a) batteries connected in series, b) motor controller with relay switching
Figure 4. Mechanical bed welded for motor placement
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Figure 5. Electric drive circuit
As mentioned earlier, the sprockets connection with the motor and engine is shown in Figure 6.
The Figures 7 and 8 represents the chain rive mechanism involved in the vehicle. The Table 2 specifies
the description of the hardware parts of the entire two wheeler setup.
Figure 6. Arrangement of chain drive mechanism with sprockets in the motor and engine
Figure 7. Chain drive mechanism design
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Figure 8. Chain drive transmission for motor and wheel setup and Placement of motor in motor bed and
connection of wheel with motor using chain drive
Table 2. Specifications of Hardware parts of PHETM
Name Type Specifications
Electric Motor BLDC Motor 500 W
ICE 2 stroke 60CC
Relay 11 pin and 5pin 24 V and 12V
Battery Lead Acid 12V,7Ah(4 nos in series)
Transmission CVT -
Microcontroller Arduino Uno ATmega328
3.3.2. Control strategy
The electric motors are extremely efficient in high torque drives and for high speed drives,
the internal combustion engine (ICE) are highly proficient. Hence the vehicle can be propelled using electric
motors at low speeds and the ICE can be utilized to propel at high speeds. As per the control strategy, it is
proposed to propel the vehicle with electric motor below the speed of 15Kmph and the ICE to propel above
15Kmph speed.
Speed of the vehicle is read with the aid of an IR Speed sensor. IR sensor is connected with fork of
the vehicle. A thin metal piece is connected to wheel shaft such that when the wheel rotates this metal plate
rotates and passes between the emitter and receiver of sensor. The IR sensor normally receives signal
continuously thus remains high. Whenever the metal plate passes through the sensor it goes low, as a result
for one rotation of wheel the plate passes through IR sensor once. The IR sensor is connected to
a microcontroller which here is Arduino Uno; the arduino reads the IR output. For every low from IR sensor
represents one rotation of wheel, and the arduino is programmed such that it calculates the rpm of the wheel.
For the switching to happen relays are employed, these relays can be controlled by Arduino. A 11 pin 24V
relay and two 5 pin 12 V relays are used. The 11 Pin 24V relay is connected in between the BLDC motor
controller and the BLDC Motor. The connections are such that the three poles of the motor are connected to
three poles of the relay, The three output from the BLDC motor controller is connected to NC contacts of
the relay, to the NO contacts a bridge rectifier is connected as shown in Figure 9.
Initially as the relay coil is not powered, the motor poles are connected to controller outputs,
now the motor can propel the vehicle whereas as soon as relay coil is powered, the poles are connected to
the bridge rectifier i.e, the motor poles are not connected to controller output, hence there is no power flow
from battery to motor, hence the motor cannot propel the vehicle , but when the motor shaft is rotated by IC
engine a Ac is generated which is rectified by bridge rectifier and fed to batteries, thus acting as generator.
Thus when this 24V relay coil is not powered, the motor propels the vehicle. When 24V relay coil is
energized, the motor acts as generator; i.e the ICE propels the vehicle. For the ICE to switch ON and OFF
the two 5 pin 12 V relays are used. The relays are connected such that, the NO contact of Relay 1 is
connected instead of self start switch of the self start motor.
Now for the engine to switch ON, the relay 1 coil is powered for few seconds, which closes
the circuit between battery and self start motor, thus self start motor is powered as long as relay is powered,
self start motor assists to switch on the engine. The NO contact of Relay 2 is connected in between the spark
plug and ignition coil. The Arduino is coded such as to read the speed of the vehicle as well as switch
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the conditions of the vehicle based on the speed of the vehicle. Relay 2 works such that as long as relay2 coil
is powered the spark plug can begin combustion in every stroke of engine and when relay2 coil is de
energized the spark plug cannot produce sparks thus engine is switched off.
Figure 9. Complete PHETM control circuit
4. RESULTS AND DISCUSSION
The hybrid power model was tested with standard test driving cycles (800 s altogether) in
the platform. The load is fixed with one person weighing 60 kg and also at two different test cases for
comparison, one with electric charger i.e battery with motor in platform type road and the other one, slightly
slope terrain conditions, is conducted correspondingly. The results of both the road tests are presented below.
The results as shown in Figure 10 infer that the battery charge is decresed drastically in slightly
gradient contions compared to a plain road. Also the drive cycle (speed vs time) pattern which is a real time
drive cycle observed is varying much as shown in Figure 11. The drive cycle plays a vital role in efficiency
enhancement of a vehile. Henceforth, the drive cycle analysis for each road type should be considered for
future study to enhance the overall efficiency of the vehicle. Although in Figure 12, there is not much
difference seen, for a covering a particular distance in a specified time. It can be seen that there is a delay or
in other words more time is consumed to cover the same distance when the vehicle is travelling in a sloppy
region compared to a plain terrain.
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Figure 10. Comparison of battery voltages in the PHETM for two different road types (slope and planar)
Figure 11. Comparison of drive cycle of PHETM results in two different road types (slope and planar)
Figure 12. Comparison of PHETM results in two different road types (slope and planar)
for a particular distance
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5. CONCLUSION
In this paper, the work to design and simulation (with the MATLAB/ADVISOR) of a parallel hybrid
electric two-wheeler motorcycle (PHETM) with CVT is achieved. A hardware model is also developed and
platform and road tests were conducted. In order to attain superior fuel economy and a reduced amount of
emission, ICE be supposed to not drive at petite efficiency regions. The efficiency becomes dreadful when
engine torque is low. For that reason, the control strategy is improvised, to facilitate as soon as the engine is
ON, it produces a least amount torque. By that time period the electric motor absorbs extra torque which is
saved in batteries (lead acid) connected to the motor.
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