Battery Management Algorithm for Electric Vehicles

Overview of battery and its management.- Battery test.- Modeling theory of lithium-ion batteries.- Battery SOC and SOH estimation.- State estimation of battery system.- Remaining useful life prediction of lithium-ion batteries.- Low-temperature heating and optimal charging methods for lithium-ion batteries.- Algorithm development, test and evaluation.

Author: Rui Xiong
Publisher: Springer
Published: 10/08/2020
Pages: 297
Binding Type: Paperback
Weight: 0.98lbs
Size: 9.21h x 6.14w x 0.66d
ISBN13: 9789811502507
ISBN10: 9811502501
BISAC Categories:
- Technology & Engineering | Power Resources | General
- Technology & Engineering | Automotive
- Technology & Engineering | Automation

About the Author

Dr. Rui Xiong received the Ph.D. degrees from Beijing Institute of Technology, Beijing, China in 2014. He is currently a Professor in the Department of Vehicle Engineering, Beijing Institute of Technology, China. Since 2017, he has been an Adjunct Professor in the Faculty of Science, Engineering and Technology, Swinburne University of Technology, Melbourne, Vic., Australia. His research interests mainly include electrical/hybrid vehicles, energy storage, and battery management system.

Dr. Xiong received the Highly Cited Researcher from Clarivate Analytics in 2018. He was a recipient of the First Prize of Natural Science Award of the Ministry of Education of China in 2018 and First Prize of the Chinese Automobile Industry Science and Technology Invention Award in 2018. He serves as an Associate Editor for the IEEE ACCESS and the SAE International Journal of Alternative Powertrains, and on the Editorial Board for the Applied Energy and eTransportation. He is the Conference Chair of the 2017 International Symposium on Electric Vehicles (ISEV 2017), in Stockholm, Sweden, the 2018 and 2019 International Conference on Electric and Intelligent Vehicles (ICEIV 2018 and ICEIV 2019), in Melbourne, Australia and Stavanger, Norway, respectively.