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Fractional Modeling and SOC Estimation of Lithium-ion Battery 被引量：2
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作者 Yan Ma xiuwen zhou +1 位作者 Bingsi Li Hong Chen 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI 2016年第3期281-287,共7页
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 ch... 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. © 2014 Chinese Association of Automation. 展开更多
关键词 Algorithms Battery management systems Charging (batteries) Electric batteries Frequency domain analysis IONS Kalman filters LITHIUM Lithium alloys Secondary batteries Solid solutions
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