Battery Management Algorithm for Electric Vehicles

✍ Scribed by Rui Xiong

Publisher: Springer Singapore
Year: 2020
Tongue: English
Leaves: 310
Edition: 1st ed. 2020
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xvii
Overview of Battery and Its Management (Rui Xiong)....Pages 1-24
Battery Test (Rui Xiong)....Pages 25-61
Modeling Theory of Lithium-Ion Batteries (Rui Xiong)....Pages 63-106
Battery SOC and SOH Estimation (Rui Xiong)....Pages 107-165
State Estimation of Battery System (Rui Xiong)....Pages 167-215
Remaining Useful Life Prediction of Lithium-Ion Batteries (Rui Xiong)....Pages 217-242
Low-Temperature Heating and Optimal Charging Methods for Lithium-Ion Batteries (Rui Xiong)....Pages 243-270
Algorithm Development, Test, and Evaluation (Rui Xiong)....Pages 271-297

✦ Subjects

Energy; Energy Storage; Automotive Engineering; Control; Electrical Engineering

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