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Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles

โœ Scribed by Hongwen He; Rui Xiong; Hongqiang Guo

Book ID
113460696
Publisher
Elsevier Science
Year
2012
Tongue
English
Weight
902 KB
Volume
89
Category
Article
ISSN
0306-2619

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Online estimation of model parameters an
Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles
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