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DOI码：10.23919/CCC50068.2020.9189457

发表刊物：Proceedings of the 39th Chinese Control Conference

关键字：Lithium ion battery, State of charge estimation, Principal component analysis, Multivariate linear regression, Linear Kalman filter

摘要：State-of-charge (SOC) estimation is a very important part of battery management system. Many estimation methods are based on nonlinear models, which makes the operation more difficult. In this paper, a new linear online modeling method is proposed and SOC estimation of lithium ion battery is realized. The experimental results show that the method has a good estimation effect. In addition, compared with the SOC estimation of extended Kalman filter based on the first-order RC model, this method requires less computation and has a stronger anti-current interference ability.

合写作者：Chun Shi,Gang Wu

第一作者：Muyao Wu

论文类型：论文集

通讯作者：Linlin Qin

学科门类：工学

文献类型：C

页面范围：5282-5286

ISSN号：1934-1768

是否译文：否

发表时间：2020-07-27

收录刊物：EI

发布期刊链接：https://ieeexplore.ieee.org/document/9189457