Title :
A strategy of estimating stage-of-charge of LiFePO4 battery based on Multirate Extended Kalman Filter
Author :
Lan Chen ; Qian Zhang ; Yongqing Fan ; GuoChun Wan ; Guizhu Yin
Author_Institution :
Sch. of Electr. & Electron. Eng., Shanghai Inst. of Technol., Shanghai, China
Abstract :
To accurately estimate the stage-of-charge of the lithium ion battery, a method based on Multirate Extended Kalman Filter is applied. A equivalent circuit model is built and the mode parameters are estimated based on the experiment data of charging and discharging the battery. The coulomb counting, Single Rate Extended Kalman Filter and Multirate Extended Kalman Filter are used to predict the SOC of the battery. Result in the Matlab indicates that the model can reflect the battery property and MREKF can accurately predict the SOC of lithium ion battery.
Keywords :
Kalman filters; digital control; iron compounds; lithium compounds; secondary cells; LiFePO4; MREKF; coulomb counting; equivalent circuit model; lithium-ion battery SOC estimation; lithium-ion battery stage-of-charge estimation; mode parameter estimation; multirate extended Kalman filter; single rate extended Kalman filter; Batteries; Integrated circuit modeling; Kalman filters; Lithium; Mathematical model; Noise; System-on-chip; Extended Kalman Filter; battery mode; multirate digital control system; state-of-charge;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4316-6
DOI :
10.1109/ICIEA.2014.6931129
