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

fYear

2010

fDate

28-31 March 2010

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/APPEEC.2010.5448777

Filename

5448777