The Lithium-Ion Battery Capacity Prediction Error Analysis Based on Extended Kalman Filtering

被引：0
|
作者：
Zhou, Zhenwei [1 ]
Huang, Yun [1 ]
Lu, Yudong [1 ]
Shi, Zhengyu [1 ]
Zhu, Liangbiao [1 ]
Wu, Jiliang [2 ]
Li, Hui [2 ]
机构：
[1] China Elect Prod Reliabil & Environm Testing Res, Guangzhou, Guangdong, Peoples R China
[2] Wuhan Zhongyuan Changjiang River Sci Dev Ltd, Wuhan, Hubei, Peoples R China
来源：
PROCEEDINGS OF 2014 10TH INTERNATIONAL CONFERENCE ON RELIABILITY, MAINTAINABILITY AND SAFETY (ICRMS), VOLS I AND II | 2014年
关键词：
Lithiun-ion battery; capacity; prediction erro; extended Kalman filtering; curve fitting;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The Lithium-ion battery capacity prediction error is analyzed by use of extended Kalman filtering(EKF) and curve fitting algorithms. This paper employs the capacity degradation model described by Colum efficient factor, rest time and other two unknown parameters. Then, a nonlinear state-space model is introduced, and the EKF is presented to estimate the capacity and the two unknown parameters. The parameter setting in EKF is discussed in details. The capacity prediction error is analyzed with the help of curve fitting. The experiment example demonstrates the algorithms efficiency.
引用
收藏
页码：252 / 256
页数：5
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