SOC estimation of Lithium-ion battery based on an Extended H-infinity filter

被引:0
|
作者
Cai, Tiantian [1 ]
Liu, Yuanyuan [1 ,2 ]
He, Zhiwei [1 ,2 ]
Gao, Mingyu [1 ,2 ]
Liu, Jingbiao [1 ,2 ]
机构
[1] Hangzhou Dianzi Univ, Coll Elect & Informat, Hangzhou, Peoples R China
[2] Zhejiang Prov Key Lab Equipment Elect, Hangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
H-infinity filter; state of charge; extended H-infinity filtering; CHARGE ESTIMATION; MANAGEMENT-SYSTEM; STATE;
D O I
10.1109/indin41052.2019.8972292
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The accuracy of the state of charge (SOC) is of great significance to electric vehicles and is one of the key technical issues in the development of electric vehicles. Therefore, an accurate SOC estimation strategy is important for the research of electric vehicle battery management. In this paper, the extended H-infinity filter (EHF) algorithm obtained by combined the extended Kalman filter (EKF) with the H-infinity filter (HIF) is chosen as the SOC estimation method. The algorithm can compensate for the error caused by the accuracy of the sensor and the lack of accuracy of the initial value to some extent. The experimental results show that this is an ideal SOC estimation method for electric vehicle batteries.
引用
收藏
页码:1700 / 1705
页数:6
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