Battery Management Algorithm for Electric Vehicles

Authors: Xiong, Rui

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  • Provides a detailed introduction to, and comprehensive descriptions of, model-based state estimation methods
  • Includes an extensive review of related heating and charging methods
  • Describes the integration of model-based state of charge, state of health, and state of power estimators into battery management systems
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eBook 85,59 €
price for Spain (gross)
  • ISBN 978-981-15-0248-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Hardcover 135,19 €
price for Spain (gross)
Softcover 103,99 €
price for Spain (gross)
About this book

This book systematically introduces readers to the core algorithms of battery management system (BMS) for electric vehicles. These algorithms cover most of the technical bottlenecks encountered in BMS applications, including battery system modeling, state of charge (SOC) and state of health (SOH) estimation, state of power (SOP) estimation, remaining useful life (RUL) prediction, heating at low temperature, and optimization of charging. The book not only presents these algorithms, but also discusses their background, as well as related experimental and hardware developments. The concise figures and program codes provided make the calculation process easy to follow and apply, while the results obtained are presented in a comparative way, allowing readers to intuitively grasp the characteristics of different algorithms.

Given its scope, the book is intended for researchers, senior undergraduate and graduate students, as well as engineers in the fields of electric vehicles and energy storage.

About the authors

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.

Table of contents (8 chapters)

Table of contents (8 chapters)

Buy this book

eBook 85,59 €
price for Spain (gross)
  • ISBN 978-981-15-0248-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Hardcover 135,19 €
price for Spain (gross)
Softcover 103,99 €
price for Spain (gross)
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Bibliographic Information

Bibliographic Information
Book Title
Battery Management Algorithm for Electric Vehicles
Authors
Copyright
2020
Publisher
Springer Singapore
Copyright Holder
China Machine Press
Distribution Rights
Distribution rights for print book in mainland China: China Machine Press
eBook ISBN
978-981-15-0248-4
DOI
10.1007/978-981-15-0248-4
Hardcover ISBN
978-981-15-0247-7
Softcover ISBN
978-981-15-0250-7
Edition Number
1
Number of Pages
XVII, 297
Number of Illustrations
71 b/w illustrations, 122 illustrations in colour
Topics