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Battery Management Algorithm for Electric Vehicles / by Rui Xiong.
- Format:
- Book
- Author/Creator:
- Xiong, Rui, author.
- Series:
- Energy (Springer-40367)
- Language:
- English
- Subjects (All):
- Energy storage.
- Automotive engineering.
- Automatic control.
- Electrical engineering.
- Energy Storage.
- Automotive Engineering.
- Control and Systems Theory.
- Electrical Engineering.
- Local Subjects:
- Energy Storage.
- Automotive Engineering.
- Control and Systems Theory.
- Electrical Engineering.
- Physical Description:
- 1 online resource (XVII, 297 pages) : 193 illustrations, 122 illustrations in color
- Edition:
- First edition 2020.
- Contained In:
- Springer eBooks
- Place of Publication:
- Singapore : Springer Singapore : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- Overview of battery and its management
- Battery test
- Modeling theory of lithium-ion batteries
- Battery SOC and SOH estimation
- State estimation of battery system
- Remaining useful life prediction of lithium-ion batteries
- Low-temperature heating and optimal charging methods for lithium-ion batteries
- Algorithm development, test and evaluation.
- Other Format:
- Printed edition:
- ISBN:
- 978-981-15-0248-4
- 9789811502484
- Access Restriction:
- Restricted for use by site license.
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