Fractional Modeling and SOC Estimation of Lithium-ion Battery

Yan Ma; Xiuwen Zhou; Bingsi Li; Hong Chen

Volume 3 Issue 3

Jul. 2016

IEEE/CAA Journal of Automatica Sinica

JCR Impact Factor: 15.3, Top 1 (SCI Q1)

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2016 > 3(3): 281-287

Yan Ma, Xiuwen Zhou, Bingsi Li and Hong Chen, "Fractional Modeling and SOC Estimation of Lithium-ion Battery," IEEE/CAA J. of Autom. Sinica, vol. 3, no. 3, pp. 281-287, 2016.

Citation:

Yan Ma, Xiuwen Zhou, Bingsi Li and Hong Chen, "Fractional Modeling and SOC Estimation of Lithium-ion Battery," IEEE/CAA J. of Autom. Sinica, vol. 3, no. 3, pp. 281-287, 2016.

Yan Ma, Xiuwen Zhou, Bingsi Li and Hong Chen, "Fractional Modeling and SOC Estimation of Lithium-ion Battery," IEEE/CAA J. of Autom. Sinica, vol. 3, no. 3, pp. 281-287, 2016.

Citation:

Yan Ma, Xiuwen Zhou, Bingsi Li and Hong Chen, "Fractional Modeling and SOC Estimation of Lithium-ion Battery," IEEE/CAA J. of Autom. Sinica, vol. 3, no. 3, pp. 281-287, 2016.

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Fractional Modeling and SOC Estimation of Lithium-ion Battery

1. State Key Laboratory of Automotive Simulation and Control, Jilin University, China;
2. Department of Control Science and Engineering, Jilin University (Campus Nanling), Changchun 130025, China;
3. Jilin University, Changchun 130012, China

Funds:

This work was supported by National Natural Science Foundation of China (615 20106008, U1564207, 61503149), High Technology Research and Development Program of Jilin (20130204021GX), Specialized Research Fund for Graduate Course Identification System Program (Jilin University) of China (450060523183), and Graduate Innovation Fund of Jilin University (20151 48).

Abstract

Abstract

This paper proposes a state of charge (SOC) estimator of Lithium-ion battery based on a fractional order impedance spectra model. Firstly, a battery fractional order impedance model is derived on the grounds of the characteristics of Warburg element and constant phase element (CPE) over a wide range of frequency domain. Secondly, a frequency fitting method and parameter identification algorithm based on output error are presented to identify parameters of the fractional order model of Lithium-ion battery. Finally, the fractional order Kalman filter approach is introduced to estimate the SOC of the lithium-ion battery based on the fractional order model. The simulation results show that the fractional-order model can ensure an acceptable accuracy of the SOC estimation, and the error of estimation reaches maximally up to 0.5% SOC.
- Lithium-ion battery,
- fractional order model,
- electrochemical impedance spectra,
- fractional Kalman filter

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References(21)

References

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Fractional Modeling and SOC Estimation of Lithium-ion Battery

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