Optimized Energy Management Strategies for Electric Vehicles - Hardcover

Hardcover

ISBN 13: 9798369368442

Publisher: Engineering Science Reference, 2024

Synopsis

As electric vehicle (EV) usage increases worldwide, optimized energy management strategies become crucial for EV efficiency, range, and performance. These strategies cover a variety of techniques, including advanced battery management systems, smart charging solutions, and real-time energy consumption analytics, all aimed at enhancing the driving experience while minimizing environmental impact. By utilizing data-driven insights and innovative technologies, like machine learning and grid integration, these strategies enable EVs to operate efficiently, extend battery life, and reduce charging costs. Developing and implementing effective energy management strategies is essential for individual vehicle performance as well as the sustainable growth of electric mobility. Optimized Energy Management Strategies for Electric Vehicles 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. This book covers topics such as electrical engineering, automotive engineering, and sustainability, and is a useful resource for automotive engineers, electrical engineers, policymakers, urban planners, business owners, academicians, scientists, and researchers.

About this title

About the Authors

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.

Edition details

• Publisher: Engineering Science Reference
• Publication date: 2024
• Language: English
• ISBN 13: 9798369368442
• Binding: Hardcover
• Number of pages: 420
• Editor: Jain Parita, Aggarwal Puneet Kumar, Singh Mandeep, Singh Sushil Kumar, Rathore Shailendra