Battery Management Algorithm for Electric Vehicles - Rui Xiong

Battery Management Algorithm for Electric Vehicles (eBook)

(Autor)

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2019 | 1st ed. 2020
XVII, 297 Seiten
Springer Singapore (Verlag)
978-981-15-0248-4 (ISBN)
Systemvoraussetzungen
171,19 inkl. MwSt
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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.



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.


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 vehiclesand energy storage.
Erscheint lt. Verlag 23.9.2019
Zusatzinfo XVII, 297 p. 193 illus., 122 illus. in color.
Sprache englisch
Original-Titel Dong Li Dian Chi Guan Li Xi Tong He Xin Suan Fa
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Naturwissenschaften
Technik Elektrotechnik / Energietechnik
Technik Fahrzeugbau / Schiffbau
Schlagworte Algorithm Development Process • Battery Modeling Theory • Battery pack • Battery Testing Process • Electric Vehicle • General Flow of Algorithm Development • Hybrid Electric Vehicle • lithium ion batteries • Lithium Iron Phosphate Battery • MnNiCo Ternary Battery • New Energy Vehicle • Peak Power Estimation • RUL prediction • Temperature Characteristic of Battery • Topological Structure of BMS
ISBN-10 981-15-0248-X / 981150248X
ISBN-13 978-981-15-0248-4 / 9789811502484
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