磷酸铁锂电池倍率容量特性建模及荷电状态估算

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Abstract Aiming at LiFePO₄ battery, firstly the rate capacity performance is described by kinetic battery model (KBM) in this paper. And then the mathematical expression of state of charge(SOC) for the double well is derived. In order to further connect SOC with battery terminal voltage, a comprehensive model is established by combining KBM with an electromotive force (EMF) model. Finally SOC estimation is realized based on this combined model and a nonlinear filter. Experimental results show that, battery rate capacity performance and available capacity recovery phenomenon can be manifested through this combined model, also the battery state of charge can be described more thoroughly. Besides, the nonlinear filter based SOC estimation strategy also shows an error-correcting capability.

Key words： LiFePO₄ battery rate capacity performance nonlinear filter state of charge estimation

Received: 22 April 2016 Published: 17 April 2017

PACS:	TM911
	TM912

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	Articles by authors
	Zhang Jinlong
	Tong Wei
	Li Duankai
	Qi Hanhong
	Zhang Chunjiang

Cite this article:

Zhang Jinlong,Tong Wei,Li Duankai等. Rate Capacity Modeling and State of Charge Estimation of LiFePO₄ Battery[J]. Transactions of China Electrotechnical Society, 2017, 32(7): 215-222.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I7/215

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