Title :
Li-ion battery SOC estimation using particle filter based on an equivalent circuit model
Author :
Du Jiani ; Wang Youyi ; Wen Changyun
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
In this paper, a method for Li-ion battery state of charge (SOC) estimation using particle filter (PF) is proposed. The equivalent circuit model for Li-ion battery is established based on the available battery block in MATLAB/Simulink. To improve the model´s accuracy, the circuit parameters are represented by functions of SOC. Then, the PF algorithm is utilized to do SOC estimation for the battery model. From simulation it reveals that PF provides accurate SOC estimation. It is demonstrated that the proposed method is effective on Li-ion battery SOC estimation.
Keywords :
equivalent circuits; particle filtering (numerical methods); secondary cells; MATLAB-Simulink; battery model; equivalent circuit model; particle filter; secondary battery state of charge estimation; Batteries; Equivalent circuits; Estimation; Integrated circuit modeling; MATLAB; Mathematical model; System-on-chip;
Conference_Titel :
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-4707-5
DOI :
10.1109/ICCA.2013.6565047