Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems. Fundamentals, Technologies, and Solutions

Table of Contents

Part I
Introduction to artificial intelligence and electric vehicles in smart grid systems

1. Introduction to artificial intelligence-empowered electric vehicles in smart grids
2. Communication technologies for electric vehicles
3. Robustness and resilience of artificial intelligence enabled electric vehicles: “a safety and security perspective”
4. Applications of AI-empowered electric vehicles for voice recognition in Asian and Austronesian languages

Part II
Energy management for artificial intelligence empowered modern electric vehicles

5. Demand response management using artificial intelligence-empowered electric vehicles
6. Energy prediction for future energy supply in
electrical vehicles
7. Optimizing the integration of renewable energy source and plug-in electric vehicles for economic emission load dispatch through soft computing techniques
8. Battery-operated electric vehicles and plug-in hybrid electric vehicles

Part III
Energy trading for artificial intelligence empowered modern electric vehicles

9. Peer-to-peer energy trading using renewable energy sources and electric vehicles
10. Smart energy management using vehicle-to-vehicle and vehicle-to-everything
11. Vehicle-to-vehicle power transfer
12. Cyber-security challenges for artificial intelligence empowered electric vehicles-analysis and current status

Part IV
Case studies and futuristic trends for artificial intelligence-enabled electric vehicles

13. Revitalizing traffic control: the synergy of fog computing and Internet of Things for an intelligent traffic light system for electric vehicles
14. On fuzzy completely irresolute on smart decision-making for electric vehicle systems
15. Front-in parking method for intelligent electric vehicles using proportional_integral_derivative control
16. The futuristic trends for modern electric vehicles
17. Environmental sustainability and carbon footprint reduction through artificial intelligence-enabled energy management in electric vehicles

Authors

Aparna Kumari Assistant Professor, Dept. of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India. Dr. Aparna Kumari is an Assistant Professor in the Dept. of Computer Science and Engineering at the Institute of Technology, Nirma University, India. She was listed among the top 2% most influential researchers globally by Stanford University in 2021, 2022, and 2023 and was also awarded the Shri Pralhad P Chhabria Award - Runner Up for Best Female Professional (Early Career) in 2023. Her research interests include smart grid technologies, blockchain, Artificial Intelligence, quantum computing, electric vehicles, virtual and augmented reality, cybersecurity, and IoT. She is currently serving as a reviewer for the IEEE Internet of Things Journal, Multimedia Tools and Applications (Springer), Sensors (MDPI), the Journal of Information Security and Applications (Elsevier), and IEEE Network. She is a member of the Program/Technical Committee on UPCON2020, IC4S-2021, IC4S-2022, and EPTL2022, as well as of IEEE Women in Engineering. Sudeep Tanwar Professor, Computer Science and Engineering Department, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India. Sudeep Tanwar is a full Professor at Nirma University, India, where he also leads the ST Research Laboratory. He is a Visiting Professor with Jan Wyzykowski University, Poland and the University of Pitesti, Romania. He has edited 20 books and authored 4 books and more than 300 technical articles, for national and international peer-reviewed journals and conferences. He initiated the research field of blockchain technology adoption in various verticals in 2017. His research interests include blockchain technology, wireless sensor networks, fog computing, smart grid, and the IoT. He is a member of the Technical Committee on Tactile Internet of IEEE Communication Society. He has been awarded Best Research Paper Awards from IEEE IWCMC-2021, IEEE ICCCA-2021, IEEE GLOBECOM 2018, IEEE ICC 2019, and Springer ICRIC-2019. He has won Dr KW Wong Annual Best Paper Prize (with 750 USD) for 2021 sponsored by Elsevier (publishers of JISA).