The document discusses cloud controlled electric vehicle charging stations. It covers several key points:
1. Types of EV charging technologies, systems, required grid infrastructure, and software environments must be considered when deciding on charging technologies.
2. Cloud control is important for continuously monitoring battery charge levels, optimizing charging station locations, enabling communication between vehicles and the grid, and developing power quality monitoring systems.
3. The impacts of EV charging on the power grid include effects on transformers, power cables, switchgear, capacitors, voltage fluctuations, and system imbalances.
Adverse effects of fossil fuel burning and internal combustion engine vehicles have alarmed nations worldwide. Governments are taking steps to promote the use of Electric Vehicles due to less carbon emissions and to pacify the environmental issues. The added load of Electric Vehicles poses a threat to the existing grid which leads to instability of the grid. The problem of demand supply mismatching can be solved by integrating the renewable energy sources with Electric vehicle charging station resulting in bi-directional flow of power. Vehicle to Grid technology helps the utility with active and reactive power support by feeding power from battery pack to grid and vice versa. Vehicle to Grid describes a system in which electric vehicles, plug-in hybrid, fuel cells electric vehicles are connected to the power grid to provide high power, spinning reserves, regulation services etc. The perspective of this study is to evolve a smart charging schedule based on the load on grid, time of use of the EV and other factors in order to minimize cost of charging for electric utilities and EVs as well as promote profits to EV owners.
Electric vehicle (EV) charging station powered by the scattered energy sources with DC Nanogrid (NG) provides an option for uninterrupted charging. The NG powered by the renewable energy sources (RES) of photovoltaic (PV) and wind energy. When the excess power produced by the renewable energy stored in the local energy storage unit (ESU) utilized during shortage power from the renewable sources. During the overloading of NG and demand of energy in ESU; the mobile charging station (MCS) provides an uninterrupted charging. The MCS provides an option for battery swapping and vehicle to grid feasibility. The MCS required to monitor the state of charge (SOC) and state of health (SOH) of the battery. Monitoring of SOC and SOH related to the various battery parameters like voltage, current and temperature. A laboratory prototype is developed and tested the practical possibility of EV to NG and Internet of things (IoT) based monitoring of battery parameters.
Adverse effects of fossil fuel burning and internal combustion engine vehicles have alarmed nations worldwide. Governments are taking steps to promote the use of Electric Vehicles due to less carbon emissions and to pacify the environmental issues. The added load of Electric Vehicles poses a threat to the existing grid which leads to instability of the grid. The problem of demand supply mismatching can be solved by integrating the renewable energy sources with Electric vehicle charging station resulting in bi-directional flow of power. Vehicle to Grid technology helps the utility with active and reactive power support by feeding power from battery pack to grid and vice versa. Vehicle to Grid describes a system in which electric vehicles, plug-in hybrid, fuel cells electric vehicles are connected to the power grid to provide high power, spinning reserves, regulation services etc. The perspective of this study is to evolve a smart charging schedule based on the load on grid, time of use of the EV and other factors in order to minimize cost of charging for electric utilities and EVs as well as promote profits to EV owners.
Electric vehicle (EV) charging station powered by the scattered energy sources with DC Nanogrid (NG) provides an option for uninterrupted charging. The NG powered by the renewable energy sources (RES) of photovoltaic (PV) and wind energy. When the excess power produced by the renewable energy stored in the local energy storage unit (ESU) utilized during shortage power from the renewable sources. During the overloading of NG and demand of energy in ESU; the mobile charging station (MCS) provides an uninterrupted charging. The MCS provides an option for battery swapping and vehicle to grid feasibility. The MCS required to monitor the state of charge (SOC) and state of health (SOH) of the battery. Monitoring of SOC and SOH related to the various battery parameters like voltage, current and temperature. A laboratory prototype is developed and tested the practical possibility of EV to NG and Internet of things (IoT) based monitoring of battery parameters.
Patent Landscape Report on “Electric vehicles – Vehicle to Grid Technology” b...Caroline Charumathy
Vehicle to grid technology is widely used for reducing / handling peak loads on the grid. The most patented technologies under V2G are Charging control system, Billing and metering system, Communication and networking system, Wireless energy transfer system. This landscape report will help in understanding the patenting activity for V2G by different OEM's and identifying the key players in this technology.
To get in-depth analysis of specific technology areas and the competitive patent landscape similar to this, contact us.
Design and development of smart interoperable electric vehicle supply equipme...IJECEIAES
The transportation industry at present is moving towards electrification and the number of electric vehicles in the market increased with the different policies of the directorate. Consumers, who wish to contribute to green mobility are concerned about the limited availability of charging points due to high manufacturing costs and the interoperability issues related to smart charging. This work proposes an internet of things-based low-cost, interoperable smart electric vehicle supply equipment for deploying in all charging stations. The device hardware is designed to monitor, analyze, and collect consumed energy by the vehicle and transfer this data to a connected network. The pre-defined messages associated with the firmware will help to record this data with a remote management server for further processing. The messages are defined in JavaScript Object Notation (JSON), which helps to overcome the interoperability issue. The device is smart because it can gather energy usage, detect device faults, and be intimate with the controller for a better operational environment. The associated management servers and mobile applications help to operate the smart device remotely and keep track of the usage statics. The developed low-cost, interoperable smart model is most suitable for two and three-wheeler vehicles.
since our electrical system consists of many interconnections .in order to have a proper transmission we need grid if we incorporate some sensors it results in smart grid .today grid system consists of all interconnection tapping points
The report gives the complete in view of smart grid technology. This document is about the smart grids and its infrastructure. It describes the smart grid’s vision and the framework. It also briefs about the smart grids initiatives and platforms. It presents the current standards and how well are they implemented in the real system.
Patent Landscape Report on “Electric vehicles – Vehicle to Grid Technology” b...Caroline Charumathy
Vehicle to grid technology is widely used for reducing / handling peak loads on the grid. The most patented technologies under V2G are Charging control system, Billing and metering system, Communication and networking system, Wireless energy transfer system. This landscape report will help in understanding the patenting activity for V2G by different OEM's and identifying the key players in this technology.
To get in-depth analysis of specific technology areas and the competitive patent landscape similar to this, contact us.
Design and development of smart interoperable electric vehicle supply equipme...IJECEIAES
The transportation industry at present is moving towards electrification and the number of electric vehicles in the market increased with the different policies of the directorate. Consumers, who wish to contribute to green mobility are concerned about the limited availability of charging points due to high manufacturing costs and the interoperability issues related to smart charging. This work proposes an internet of things-based low-cost, interoperable smart electric vehicle supply equipment for deploying in all charging stations. The device hardware is designed to monitor, analyze, and collect consumed energy by the vehicle and transfer this data to a connected network. The pre-defined messages associated with the firmware will help to record this data with a remote management server for further processing. The messages are defined in JavaScript Object Notation (JSON), which helps to overcome the interoperability issue. The device is smart because it can gather energy usage, detect device faults, and be intimate with the controller for a better operational environment. The associated management servers and mobile applications help to operate the smart device remotely and keep track of the usage statics. The developed low-cost, interoperable smart model is most suitable for two and three-wheeler vehicles.
since our electrical system consists of many interconnections .in order to have a proper transmission we need grid if we incorporate some sensors it results in smart grid .today grid system consists of all interconnection tapping points
The report gives the complete in view of smart grid technology. This document is about the smart grids and its infrastructure. It describes the smart grid’s vision and the framework. It also briefs about the smart grids initiatives and platforms. It presents the current standards and how well are they implemented in the real system.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
2. 2
Factors that decides charging technologies
This section has been divided into four main categories that will be considered in the
following sections:
1. Types of EV charging technologies
2. Types of EV charging systems and processes
3. Grid infrastructure required for EV charging stations
4. Software environment at charging station, DISCOM control centre and consumer
9. 9
The use of ICT (Information and Communication Infrastructure and Technology (NEED)
Data collection and processing, e.g. for metering and billing
Automation and control of the grid
Implementation of demand management strategies or of V2G capability and the aggregation
EV consumption flexibilities
Provision of information services to EVdrivers
Possibly EV remote maintenance
EV fleet management etc
11. 11
Impact on the Power Network
Effect of Harmonics on Distribution Assets
Transformers
Power Cables
Relays, Switchgear and Metering Equipment
Capacitors
Voltage Flicker
System Imbalance
15. The prevalence of charging stations is an important factor for consumers’
acceptance of electric vehicles (EVs)
Electrification of transportation has not gained much popularity in India, due to
Lack of unified charging infrastructure
Range Anxiety problem
Lack of much needed instantaneous information exchange between EV and
Cloud-connected mobility.
SIGNIFICANCE OF EV CHARGING STATION
FOR COORDINATING THE MULTIPLE BMS
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16. Major considerations in establishing EV charging stations systems are summarized as
( BMS additional requirement )
1 Extended battery recharging is time needed for the EVs, , unlike the filling of
conventional fuels like Diesel or petrol in the vehicle tank.
2 Energy efficient battery management system, including IoT based Smart
communication is required between EVs to share the current availability status of nearby
charging stations.
3 Utilizing very slow movement of the EVs over short distances, when pass through
signal points or Toll gates, by providing suitable charging tracks.
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17. 4 Optimal location for energy exchange between grid to vehicle or vehicle to
grid vehicle, at times of power shortage or excess power availability in EVs
5 EVs when used as public transport, have high mobility and require more
charging needs, which introduce randomness into the power grid, adversely affecting
it in terms of power quality. Heavy rating charging stations cause LFC problem in
distribution grid .
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18. To continuously monitor the charge level (SOC) of the batteries, so that the recharging
cycle can be commenced at the appropriate time.
To arrive at optimized locations for the charging stations in the highway, based on the
density of traffic movement.
To include the much needed IoT based communication units to share the charging status
of all the supplying and receiving vehicles and also the present load on the
supplementing distribution system.
To develop an instrumentation system to monitor the power quality parameters of the
distribution system so that it is used optimally by the electric vehicles.
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19. 19
Based on above requirement today session focuses the following
Overview of present Charging systems for EVs
Overview of Internet of Things (IoT) & Industrial Internet of Things (IIoT)
Distribution grid Impacts due to EV charging stations
Problem Identification and solutions requirements
MATLAB/SIMULINK - Thingspeak Real time demo ( without external hardware)
21. 21
Classification of EVs impacts on distribution grid.
impact of the EV charging station loads on the voltage stability of the distribution network.
30. Page 30
From design to maintenance, we improve sustainability & efficiency of your operations
Industry IoT Solutions
Energy and Sustainability
Improve the sustainability of your operation
and reduce your energy bill by 30%.
Process Management
Strive for zero waste while increasing the flexibility on
your plant floor.
43. Internet of Things (IoT)
IoT = Sensor+ Network+ Data + Services
In order to provide this round the clock connectivity
This global connectivity has been possible by embedding sensors,
actuators, microcontrollers etc
where two different sets namely Information Technology (IT) and
Operational Technology (OT) unite to form Internet of Things
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47. Industrial Internet of Things
An emerging class of IoT-enabled industrial production systems is called the Industrial
Internet of Things (IIoT)
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48. IIoT as the network of real things and their digital counterparts
Product Lifecycle Management (PLM)
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53. The next‐generation BMS should be equipped with
the following new features:
A rapid heating function to meet EV applications for all climate environments.
A diagnosis function to identify battery faults and battery sensor faults for the
improved safety performances of a battery system.
Cloud computing maximizes the use of different data resources including the
operational data of a battery system.
Its applications have the advantages of high computing power, data storage
security, and data sharing.
Combining cloud computing and on‐board control can greatly improve the
performance of BMSs. 53
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54. Cloud Computing :advantages are reflected in the following aspects:
Intelligent and powerful algorithms.
Battery SOX algorithms and control strategies are computationally
intensive.
They are difficult to be implemented in an on‐board controller in EVs.
With the cloud computing platform, the computing performance of the
BMS can be greatly improved.
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55. High calculation accuracy. High computing speed, parallel computing and
large storage space can implement multi‐ algorithms, which improve the
calculation accuracy.
High security. Cloud computing can realize multiple models and multiple
algorithms running at the same time.
The system has high redundancy, and it is easy to extend functions such as
fault diagnosis, and integrates big data analysis to achieve integrated
analysis of security
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60. power consumption of a residential house tends to rise to peak value in the evening
hours causing drops in voltage levels.
Such insignificant power consumption of a single house doesn’t make much difference
in voltage levels but cumulative loading actions of many houses (as in the case of EV
charging) might have severe impact on the grid and will be noticed by observing the
voltage
Voltage vs. distance relationship in a distribution network is highly non-linear due to
different node currents, the type of control for EV charging that can be used at that
node for a fair and sustainable EV grid integration.
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61. Problem Identification and solutions requirements
• Considering a scenario of an EV (RED) that needs to get charged.
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62. • Charging station 1 is the nearest but traffic Congestion and tariff
are factors of concern
• Charging station 2 is feasible in terms of ease in reaching and
tariff, but the distance is a factor of concern
• In such scenarios, V2V co-operative charging can be employed,
where vehicle with maximum charge and optimal travel demand
(GREEN) can transfer charge to the car in need (RED) by
contactless charging, for a fixed tariff.
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63. • Deployment of Distributed Renewable sources and Electrification of Vehicles, reduces the urban
air pollution and greenhouse gas emissions.
• The individual renewable energy sources feed the charging nodes in the charging station.
• Intermittent energy sources are monitored through cloud and the during power deficit, suitable
amount of power is drawn from the utility grid.
• The Battery Management System(BMS) of Electric vehicles, pertaining to zonal charging stations
are monitored through the cloud and thereby the most requisite Electric Vehicle which has
low State of Charge(SOC) is given a higher preference by allocating a slot for charging.
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