Battery Management Algorithm for Electric Vehicles eBook

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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.

This is a digital product.

Battery Management Algorithm for Electric Vehicles is written by Rui Xiong and published by Springer. The Digital and eTextbook ISBNs for Battery Management Algorithm for Electric Vehicles are 9789811502484, 981150248X and the print ISBNs are 9789811502477, 9811502471.