Title :
SOC Estimation of LiFeO4 Battery Energy Storage System
Author :
Liao Chenglin ; Tang Zining ; Wang Lifang
Author_Institution :
Inst. of Electr. Eng., Chinese Acad. of Sci., Beijing, China
Abstract :
Battery energy storage system as the voltage regulator device is widely used in distributed power generation system. LiFeO4 battery has broad application prospects in the energy storage system. Based on a large number of test data, the characteristic of LiFeO4 battery is analyzed systemically, and the battery equivalent circuit model is established. SOC estimation algorithm of LiFeO4 battery is got according to the extended Kalman filter (EKF) theory. In order to improve the estimation accuracy of SOC, the improvement of three aspects has been applied in the improved EKF method. The offline simulation results show that the improved EKF can improve the accuracy of SOC estimation effectively.
Keywords :
Kalman filters; battery storage plants; distributed power generation; lithium compounds; EKF theory; LiFeO4; SOC estimation; battery energy storage system; battery equivalent circuit model; distributed power generation system; extended Kalman filter theory; voltage regulator device; Batteries; Circuit testing; Distributed power generation; Energy storage; Equivalent circuits; Life estimation; Life testing; Regulators; System testing; Voltage;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
Electronic_ISBN :
978-1-4244-4813-5
DOI :
10.1109/APPEEC.2010.5448777
