Battery Management Algorithm for Electric Vehicles Paperback - 2020
by Rui Xiong
From the rear cover
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.
Details
- Title Battery Management Algorithm for Electric Vehicles
- Author Rui Xiong
- Binding Paperback
- Pages 297
- Volumes 1
- Language ENG
- Publisher Springer
- Date 2020-10-08
- Illustrated Yes
- Features Illustrated
- ISBN 9789811502507 / 9811502501
- Weight 0.98 lbs (0.44 kg)
- Dimensions 9.21 x 6.14 x 0.66 in (23.39 x 15.60 x 1.68 cm)
- Dewey Decimal Code 621.3
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Battery Management Algorithm for Electric Vehicles
by Rui Xiong
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Battery Management Algorithm for Electric Vehicles
by Xiong, Rui
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