Optimized Energy Management Strategies for Electric Vehicles

Optimized Energy Management Strategies for Electric Vehicles

Pages: 300
DOI: 10.4018/979-8-3693-6844-2
ISBN13: 9798369368442|ISBN13 Softcover: 9798369368459|EISBN13: 9798369368466
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Description & Coverage
Description:

1. "Optimized Energy Management Strategies for Electric Vehicles: A Paradigmatic Approach" delves into the intricate landscape of energy management in electric vehicles (EVs), offering a comprehensive exploration of cutting-edge methodologies and technologies. From advanced algorithms to real-time data analytics, this book presents a rigorous examination of the most efficient and intelligent solutions for optimizing energy consumption and enhancing overall performance in EVs.

2. With the global shift towards sustainable transportation, the demand for effective energy management solutions in electric vehicles has never been greater. "Optimized Energy Management Strategies for Electric Vehicles" equips professionals, researchers, and policymakers with the knowledge and tools necessary to address critical challenges in this rapidly evolving field. By offering innovative insights and practical strategies, this book has the potential to drive significant advancements in the efficiency, reliability, and sustainability of electric transportation systems worldwide.

3. This book caters to a diverse audience of professionals and stakeholders involved in the development, deployment, and regulation of electric vehicles. It serves as an indispensable resource for automotive engineers, electrical engineers, and researchers seeking to optimize energy management systems in EVs. Additionally, policymakers, urban planners, and industry executives will find valuable insights to inform strategic decisions and policies related to sustainable transportation initiatives. Whether you're a seasoned expert or a newcomer to the field, "Optimized Energy Management Strategies for Electric Vehicles" offers valuable perspectives and practical guidance for navigating the complexities of energy management in the era of electric mobility.

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Editor/Author Biographies

Dr. Parita Jain completed her Ph.D. Degree from Amity University, Noida, and M. M.Tech. (IT) from CDAC, Noida. Having vast teaching experience of approx. 14 years. Currently, she is working as an assistant professor (research) and Assistant dean (academics) in Department of Computer Science and Engineering of the KIET Group of Institutions, Ghaziabad. Her research interests include Software Engineering, Machine Learning, Data Mining, and Mobile Computing. She has published more than 40 research papers in various international conferences and journals.

Dr. Puneet Kumar Aggarwal completed his Ph.D. degree from Amity University, Noida, and his M.Tech. (IT) degree from CDAC, Noida. Having vast teaching experience of approx. 14 years. Currently, he is working as an assistant professor in Department of Information Technology at ABES Engineering College, Ghaziabad. His research interests include Machine Learning, Internet of Things, Data Mining and Mobile Computing. He has published more than 45 research papers in various international conferences and journals.

Mandeep Singh, an accomplished academician and Assistant Professor in the Department of Computer Science & Engineering at Raj Kumar Goel Institute of Technology, Ghaziabad, India, holds a Master's degree with Distinction in Information Security from AIACTR (now NSUT East Campus). With over eight years of teaching experience, he is currently pursuing a Ph.D. from NIT Jalandhar. Mr. Singh is a prolific researcher, contributing to fields such as Computer Networks, MANETs, machine Learning, and Deep Learning, with numerous papers in book chapters, international journals, and conference proceedings. Notably, he is also a co-inventor of patents, showcasing his commitment to innovation and pushing the boundaries of knowledge in computer science.

Sushil Kumar Singh (Member, IEEE) is an Associate Professor in the Department of Computer Engineering at Marwadi University, Rajkot, India. He received Ph.D. degree from Seoul National University of Science and Technology, Seoul, South Korea. He received M.Tech. Degree in Computer Science and Engineering from Uttarakhand Technical University, Dehradun, India. He also received an M.E. degree in Information Technology from Karnataka State University, Mysore, India. He has also been the lab leader of the UCS Lab at the Department of Computer Science Engineering, Seoul National University of Science and Technology, Seoul, South Korea. He has received the Best Lab Leadership Award from UCS Lab for 2019-2021. He has more than 12 years of experience teaching in the field of computer science. He has published Four Books: Computer C Programming, Cyber Security, Big Data Analytics, and Mobile Computing. He has also published many high-quality papers (Q1, Top 10% JCR Rank) in international journals and conferences. He has already delivered international lectures in many countries. His research interests include Blockchain, Artificial Intelligence, Big Data, Internet of Things, Smart City Security, and Cyber-Physical Systems. He is an Associate Editor in the HCIS (Human-centric Computation and Information Sciences) Journal and Editor in IGI Global Publication. He is a reviewer of the IEEE Wireless Communication Magazine, IEEE SYSTEMS, IEEE Internet of Things, FGCS, TETT, EXSY, JISA, Computer Network, MDPI, CIE, HCIS, JIPS, Computing (COMP), Multimedia Tools & Applications, and SCIS Journal.

Dr. Rathore is working as a Lecturer in Division of Cybersecurity at Abertay University, UK and has more than 2 years of working experience as a lecturer at universities based in UK. He is also an active member of the cyberQuarter team, which is a new £18m cybersecurity research and development center located at Abertay University. Prior to joining Abertay, he was a lecturer in cybersecurity at Plymouth University and was associated with the £3 million Research England-supported Cyber-SHIP Lab project. He received a Ph.D. degree from the Graduate School of Computer Science and Engineering at Seoul National University of Science and Technology, Seoul, South Korea. His broad research interests include Cybersecurity, Artificial Intelligence, Blockchain, and Machine Learning. Dr. Rathore has published his research outcomes in various top-tier international journals, including IEEE Communication Magazine, IEEE Network, IEEE Consumer Electronics, FGCS, Information Sciences, and IEEE Access. He has also served as a chair, program committee member or organizing committee chair for many international conferences and workshops, including IEEE and ACM events.

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