Battery Management Algorithm for Electric Vehicles

Battery Management Algorithm for Electric Vehicles

1st Edition 2020

Hardback (08 Oct 2019)

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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.

Book information

ISBN: 9789811502477
Publisher: Springer Singapore
Imprint: Springer
Pub date:
Edition: 1st Edition 2020
Number of pages: 297
Weight: 631g
Height: 235mm
Width: 155mm
Spine width: 19mm