Fractional Modeling and SOC Estimation of Lithium-ion Battery
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 o...
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Veröffentlicht in: | IEEE/CAA journal of automatica sinica 2016-07, Vol.3 (3), p.281-287 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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. |
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ISSN: | 2329-9266 2329-9274 |
DOI: | 10.1109/JAS.2016.7508803 |