Research on SOC hybrid estimation algorithm of power battery based on EKF

被引:0
|
作者
Wu, Tiezhou [1 ,2 ]
Chen, Xueguang [1 ]
Xia, Fangzhen [2 ]
Xiang, Jianfeng [2 ]
机构
[1] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan, Peoples R China
[2] Hubei Univ Technol, Dept Elect & Elect Engn, Wuhan, Peoples R China
关键词
Ampere Hour Method; EKF; SOC; Estimation Algorithm;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Accurate estimation of power battery SOC(state of charge) is the basis of HEV power control strategy. SOC estimation algorithm has a significant impact on the accuracy of SOC estimation. This paper described the basic concept of SOC, discussed the significance of SOC estimation algorithm, difficulties and the main factors affecting SOC estimation, proposed a hybrid battery SOC estimation method with combination of extended Kalman filtering algorithm and improved Ampere Hour(AH) Method based on analyzing existed algorithms. Experimental results show that the hybrid SOC estimation method can meet the accuracy requirement of HEV SOC estimation excellently and is superior to the individual EKF method.
引用
收藏
页数:3
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