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A comparative study of state of charge estimation algorithms for LiFePO4 batteries used in electric vehicles

โœ Scribed by Li, Jiahao; Klee Barillas, Joaquin; Guenther, Clemens; Danzer, Michael A.

Book ID
123095436
Publisher
Elsevier Science
Year
2013
Tongue
English
Weight
904 KB
Volume
230
Category
Article
ISSN
0378-7753

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โœ Hongwen He; Rui Xiong; Hongqiang Guo ๐Ÿ“‚ Article ๐Ÿ“… 2012 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 902 KB

The accurate estimation of internal parameters and state-of-charge (SoC) of battery, which greatly depends on proper models and corresponding high-efficiency, high-accuracy algorithms, is one of the critical issues for the battery management system. A model-based online estimation method of a LiFePO