基于分数阶理论的车用锂离子电池建模及 荷电状态估计

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Abstract This paper presents a fractional order equivalent circuit model and uses fractional order Kalman filter (FOKF) method for state of charge (SOC) estimation of lithium-ion power batteries in electric vehicles. Firstly, a fractional order battery model was established based on second-order equivalent circuit and the fractional orders were identified by genetic algorithm. The SOC was estimated depending on the FOKF method. Compared with extend Kalman filter (EKF) method, it is shown that the maximum absolute error of the terminal voltage is 0.014V under constant current discharge test. The maximum SOC estimation error is under 2% by FOKF, which has higher accuracy and faster convergence speed. The fractional order model proposed in this paper not only presents an accurate and reliable battery model, but also provides an effective means for improving the accuracy of SOC estimation in battery management system.

Key words： Fractional order theory lithium-ion battery modeling fractional order Kalman filter state of charge estimation

Received: 18 February 2016 Published: 01 March 2017

PACS:

TP273

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	Articles by authors
	Liu Shulin
	Cui Naxin
	Li Yan
	Zhang Chenghui

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Liu Shulin,Cui Naxin,Li Yan等. Modeling and State of Charge Estimation of Lithium-Ion Battery Based on Theory of Fractional Order for Electric Vehicle[J]. Transactions of China Electrotechnical Society, 2017, 32(4): 189-195.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I4/189

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