Estimation of internal states of 18650 lithium-ion batteries by Sigma-Point Kalman Filter

Author

Liu, Yunfeng ; Zheng, Kun ; Xing, Zhilong

Author_Institution

Sch. of Mechatron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2011

fDate

16-18 Sept. 2011

Firstpage

1067

Lastpage

1070

Abstract

In this paper, Sigma-Point Kalman Filter(SPKF) has been adopted to estimate the internal states of 18650 lithium-ion battery. An equivalent circuit model of lithium-ion battery has been build. The initial parameters of the model can be calculated through the experimental data of the Hybrid Pulse Power Characterization (HPPC). In addition, the state space equation and output equation based on the circuit model have been defined. Then the algorithm of SPKF is been simulated by MATLAB software. The result proves that the computational internal states of battery is effective and estimation accuracy is relatively high.

Keywords

Kalman filters; lithium; secondary cells; 18650 lithium-ion batteries; HPPC; Li; MATLAB software; SPKF; equivalent circuit model; hybrid pulse power characterization; internal state estimation; sigma-point Kalman filter; state space equation; Batteries; Estimation; Integrated circuit modeling; Kalman filters; MATLAB; Mathematical model; System-on-a-chip; 18650 lithium-ion battery; SOC; Sigma-Point Kalman Filter; battery model;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Control Engineering (ICECE), 2011 International Conference on

Conference_Location

Yichang

Print_ISBN

978-1-4244-8162-0

Type

conf

DOI

10.1109/ICECENG.2011.6057800

Filename

6057800