基于自适应H2/H∞滤波的锂电池SOC和SOH联合估计

doi:10.3969/j.issn.1000-1158.2023.11.13

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Abstract Accurate and real-time estimation of a batterys state of charge (SOC) and state of health (SOH) is a key task of modern battery management systems.The SOC and SOH of lithium batteries can be estimated jointly by an adaptive H2/H∞ filter. This method is based on the second-order RC equivalent circuit model of lithium battery, and AFFRLS method is used to identify the model parameters of lithium battery online.Using H2/H∞ filter to estimate SOC of lithium battery, AFFRLS identification and H2/H∞ filter are alternated to obtain an adaptive H2/H∞ filter.SOH is estimated according to the internal resistance identified by AFFRLS, and the joint estimation of SOC and SOH of lithium battery is realized.The experimental results show that the adaptive H2/H∞ filtering algorithm has high estimation accuracy and strong robustness, and the average estimation error of SOC and SOH of the battery is always within 0.19%, which has higher estimation accuracy and stability than EKF and H∞ filtering algorithm.

Key words： metrology state of charge lithium batteries state of health adaptive H2/H&infin filtering parameter identification joint estimate

Received: 21 November 2022 Published: 17 November 2023

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TB971

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	WU Zhong-qiang
	CHEN Hai-jia

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WU Zhong-qiang,CHEN Hai-jia. Joint SOC and SOH Estimation for Lithium Batteries Based on Adaptive H2/H∞ Filtering[J]. Acta Metrologica Sinica, 2023, 44(11): 1719-1727.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2023.11.13 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2023/V44/I11/1719

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