TY - BOOK
T1 - Battery management algorithm for electric vehicles
AU - Xiong, Rui
N1 - Publisher Copyright:
© China Machine Press 2020.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Introduction 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.
AB - Introduction 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.
KW - Algorithm development process
KW - Battery modeling theory
KW - Battery pack
KW - Battery testing process
KW - Electric vehicle
KW - General flow of algorithm development
KW - Hybrid electric vehicle
KW - Lithium ion batteries
KW - Lithium iron phosphate battery
KW - MnNiCo ternary battery
KW - New energy vehicle
KW - Peak power estimation
KW - RUL prediction
KW - Temperature characteristic of battery
KW - Topological structure of BMS
UR - http://www.scopus.com/inward/record.url?scp=85085193558&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-0248-4
DO - 10.1007/978-981-15-0248-4
M3 - Book
AN - SCOPUS:85085193558
SN - 9789811502477
BT - Battery management algorithm for electric vehicles
PB - Springer Singapore
ER -
