Title :
Research on SOC Hybrid Estimation Algorithm of Power Battery Based on EKF
Author :
Wu, Tiezhou ; Chen, Xueguang ; Xia, Fangzhen ; Xiang, Jianfeng
Author_Institution :
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
Accurate estimation of power battery SOC (state of charge) is the basis of HE V 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.
Keywords :
Kalman filters; battery chargers; secondary cells; EKF; SOC hybrid estimation algorithm; ampere hour method; extended Kalman filtering algorithm; power battery; power control strategy; state of charge; Batteries; Battery charge measurement; Equations; Estimation; Kalman filters; Mathematical model; System-on-a-chip;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6253-7
DOI :
10.1109/APPEEC.2011.5748464