Renewable Energy for Plug-In Electric Vehicles
Challenges, Approaches, and Solutions for Grid Integration
- 1st Edition - October 1, 2024
- Editors: Thanikanti Sudhakar Babu, Praveen Kumar Balachandran, Nnamdi Nwulu
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 8 9 5 5 - 2
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 8 9 5 6 - 9
Renewable Energy for Plug-In Electric Vehicles: Challenges, Approaches, and Solutions for Grid Integration provides a holistic guide to the critical technical challenges of integr… Read more
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Request a sales quoteRenewable Energy for Plug-In Electric Vehicles: Challenges, Approaches, and Solutions for Grid Integration provides a holistic guide to the critical technical challenges of integrating renewable energy for grid-connected electric vehicles. Considering the impact of renewable energy integration from a wide range of perspectives, this book leverages its global range and expertise to cover problems from power stability to market strategies, fast charging, and cybersecurity. Practical solutions are provided, incorporating the latest advances in technologies across meters, sensors, batteries, storage, demand response, artificial intelligence, and power system design.
Supporting broad understanding and practical solution development, the book enables researchers, students, and industry professionals to take the next steps towards renewably sourced, grid-integrated electric vehicles.
Supporting broad understanding and practical solution development, the book enables researchers, students, and industry professionals to take the next steps towards renewably sourced, grid-integrated electric vehicles.
1. Introduction to Integration of Renewable Energy with Electric Vehicles
2. Review of the Impact of Integrating Electric Vehicle and Renewable Energy Sources to the Grid
3. Current Issues and Future Challenges Regarding Electric Vehicles' Fast Charging and its Impact on Grid Power Quality in the Grid
4. A Mini Review of the Existing Methods of Integration of Renewable Energy Systems with Electric Vehicles
5. Operation of Electric Vehicles in Smart Grids and Smart Homes: Vehicle-to-Grid (V2G), Vehicle-to-Home (V2H), and Grid-to-Vehicle (G2V)
6. Prediction and Detection Methods for Thermal Runaway and Fire in Electric Vehicles while Charging through Renewable Energy Systems
7. Cyber-security Challenges in Electric Vehicle Integration with Renewable Energy Systems
8. Energy and Demand Forecasting for Electric Vehicle Fast Charging Station Planning with a Solar Photovoltaic System
9. Electric Vehicle Charging Infrastructure Technologies: A Review
10. Electric Vehicle Optimum Charging-Discharging Scheduling Techniques
11. Application of Neural Network for Electric Vehicle Charging with Dynamic Pricing
12. Renewable-Green Hydrogen as a Future Power for Electric Vehicles: A Perspective
13. Feasibility and Possibility of Biofuel based Electric Vehicles in the Electric Vehicle Market
14. Applications of Possible Renewable Energy Sources to Electric Vehicle Powering
15. Optimal Allocation of Battery Energy Storage Systems using Artificial Intelligence Techniques
2. Review of the Impact of Integrating Electric Vehicle and Renewable Energy Sources to the Grid
3. Current Issues and Future Challenges Regarding Electric Vehicles' Fast Charging and its Impact on Grid Power Quality in the Grid
4. A Mini Review of the Existing Methods of Integration of Renewable Energy Systems with Electric Vehicles
5. Operation of Electric Vehicles in Smart Grids and Smart Homes: Vehicle-to-Grid (V2G), Vehicle-to-Home (V2H), and Grid-to-Vehicle (G2V)
6. Prediction and Detection Methods for Thermal Runaway and Fire in Electric Vehicles while Charging through Renewable Energy Systems
7. Cyber-security Challenges in Electric Vehicle Integration with Renewable Energy Systems
8. Energy and Demand Forecasting for Electric Vehicle Fast Charging Station Planning with a Solar Photovoltaic System
9. Electric Vehicle Charging Infrastructure Technologies: A Review
10. Electric Vehicle Optimum Charging-Discharging Scheduling Techniques
11. Application of Neural Network for Electric Vehicle Charging with Dynamic Pricing
12. Renewable-Green Hydrogen as a Future Power for Electric Vehicles: A Perspective
13. Feasibility and Possibility of Biofuel based Electric Vehicles in the Electric Vehicle Market
14. Applications of Possible Renewable Energy Sources to Electric Vehicle Powering
15. Optimal Allocation of Battery Energy Storage Systems using Artificial Intelligence Techniques
- No. of pages: 300
- Language: English
- Edition: 1
- Published: October 1, 2024
- Imprint: Elsevier
- Paperback ISBN: 9780443289552
TB
Thanikanti Sudhakar Babu
Dr Babu is an Associate Professor in the Department of Electrical and Electronics Engineering, at the Chaitanya Bharati Institute of Technology, India. He has published more than 140 research articles in various renowned international journals. His research interests include the design and implementation of solar PV systems, renewable energy resources, power management for hybrid energy systems, storage systems, fuel cell technologies, electric vehicles, and smart grids.
Affiliations and expertise
Associate Professor, Department of Electrical & Electronics Engineering, Chaitanya Bharathi Institute of Technology, Osmania University Hyderabad, IndiaPB
Praveen Kumar Balachandran
Praveen Kumar Balachandran is an Associate Professor with the Department of EEE, the Vardhaman College of Engineering, Hyderabad, India. He has published more than 50 research articles in various renowned international journals and also has 10 patents to his name. He is a reviewer for various reputed journals. His current research interests include the design and implementation of solar PV systems, renewable energy resources, electric vehicles, power management for hybrid energy systems, and smart grids.
Affiliations and expertise
Associate Professor, Department of Electrical & Electronics Engineering, Vardhaman College of Engineering, Jawaharlal Nehru Technological University, IndiaNN
Nnamdi Nwulu
Nnamdi Nwulu is currently a Full Professor with the Department of Electrical and Electronic Engineering Science, University of Johannesburg, and the Director of the Centre for Cyber-Physical Food, Energy and Water Systems (CCP-FEWS). His research interests include the application of digital technologies, mathematical optimization techniques, and machine learning algorithms in food, energy, and water systems. He is a Professional Engineer registered with the Engineering Council of South Africa (ECSA), a Senior Member of the South African Institute of Electrical Engineers (SMSAIEE), and a Y-Rated Researcher by the National Research Foundation of South Africa. He is the Editor-in-Chief of the Journal of Digital Food Energy and Water Systems (JDFEWS) and an Associate Editor of IET Renewable Power Generation (IET-RPG) and African Journal of Science, Technology, Innovation, and Development (AJSTID).
Affiliations and expertise
Professor, Electrical Engineering & Director, Centre for Cyber-Physical Food, Energy & Water Systems (CCP-FEWS), Electrical & Electronic Engineering, University of Johannesburg, South Africa