Estimating the State-of-Charge of Lithium-Ion Batteries Using an H-Infinity Observer with Consideration of the Hysteresis Characteristic


Vol. 16, No. 2, pp. 643-653, Mar. 2016
10.6113/JPE.2016.16.2.643


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 Abstract

The conventional methods used to evaluate battery state-of-charge (SOC) cannot accommodate the chemistry nonlinearities, measurement inaccuracies and parameter perturbations involved in estimation systems. In this paper, an impedance-based equivalent circuit model has been constructed with respect to a LiFePO?? battery by approximating the electrochemical impedance spectrum (EIS) with RC circuits. The efficiencies of approximating the EIS with RC networks in different series-parallel forms are first discussed. Additionally, the typical hysteresis characteristic is modeled through an empirical approach. Subsequently, a methodology incorporating an H-infinity observer designated for open-circuit voltage (OCV) observation and a hysteresis model developed for OCV-SOC mapping is proposed. Thereafter, evaluation experiments under FUDS and UDDS test cycles are undertaken with varying temperatures and different current-sense bias. Experimental comparisons, in comparison with the EKF based method, indicate that the proposed SOC estimator is more effective and robust. Moreover, test results on a group of Li-ion batteries, from different manufacturers and of different chemistries, show that the proposed method has high generalization capability for all the three types of Li-ion batteries.


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Cite this article

[IEEE Style]

J. Xie, J. Ma, Y. Sun, Z. Li, "Estimating the State-of-Charge of Lithium-Ion Batteries Using an H-Infinity Observer with Consideration of the Hysteresis Characteristic," Journal of Power Electronics, vol. 16, no. 2, pp. 643-653, 2016. DOI: 10.6113/JPE.2016.16.2.643.

[ACM Style]

Jiale Xie, Jiachen Ma, Yude Sun, and Zonglin Li. 2016. Estimating the State-of-Charge of Lithium-Ion Batteries Using an H-Infinity Observer with Consideration of the Hysteresis Characteristic. Journal of Power Electronics, 16, 2, (2016), 643-653. DOI: 10.6113/JPE.2016.16.2.643.