基于WOA-UKF算法的锂电池容量与SOC联合估计

doi:10.3969/j.issn.1000-1158.2022.05.14

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Abstract The state of charge (SOC) and effective capacity of lithium batteries are important parameters to characterize the current remaining capacity and life of the battery. A joint estimation method for the effective capacity and SOC of lithium-ion batteries is proposed. During the battery life cycle, a two-variable polynomial description for the non-linear model of open circuit voltage to SOC and battery effective capacity is given; when the number of battery cycles exceeds a preset value, whale optimization algorithm is used to estimate the current battery capacity and battery model parameters, and then an unscented Kalman filter is used to estimate the SOC of battery according to the model parameters and capacity values. In the estimation process of SOC, the whale optimization algorithm is used to update the noise variance of unscented Kalman filter, furthermore, the estimation accuracy is improved. Experimental results test the effectiveness of the method and the feasibility of the joint estimation scheme.

Key words： metrology state of charge effective capacity;lithium battery unscented Kalman filter whale optimization algorithm joint estimation

Received: 10 August 2020 Published: 18 May 2022

PACS:

TB971

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	Articles by authors
	WU Zhong-qiang
	WANG Guo-yong
	XIE Zong-kui
	HE Yi-lin
	LU Xue-qin

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WU Zhong-qiang,WANG Guo-yong,XIE Zong-kui, et al. Joint Estimation of the Capacity and SOC of Lithium Battery Based on WOA-UKF Algorithm[J]. Acta Metrologica Sinica, 2022, 43(5): 649-656.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2022.05.14 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2022/V43/I5/649

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