MODELING AND PARAMETER IDENTIFICATION OF LITHIUM-ION BATTERIES CONSIDERING MULTI-TIME SCALE CHARACTERISTICS

Xia Yongkai; Xia Xiangyang; Yan Li; Tan Xinxin; Huang Ru; Deng Hualong

doi:10.19912/j.0254-0096.tynxb.2024-0718

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (9) : 263-272. DOI: 10.19912/j.0254-0096.tynxb.2024-0718

MODELING AND PARAMETER IDENTIFICATION OF LITHIUM-ION BATTERIES CONSIDERING MULTI-TIME SCALE CHARACTERISTICS

Xia Yongkai¹, Xia Xiangyang¹, Yan Li², Tan Xinxin³, Huang Ru⁴, Deng Hualong⁴

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Abstract

The traditional parameter identification methods for lithium-ion batteries will lead to problems such as low accuracy of identification results and poor adaptability to working conditions, and sudden error and even distortion of output voltage curve due to sudden parameter changes in low SOC region. In this paper, the second-order RC equivalent circuit model is reconstructed according to the different time-scale characteristics of lithium-ion battery dynamics, and it is decomposed into fast dynamic （FD） part and slow dynamic （SD） part. The FD part and SD part of the model are distinguished by the improved IFRLS and the adaptive Kalman filter algorithm （AKF） to avoid the mutual interference between the model parameters. Finally, the proposed method is compared with the traditional parameter identification methods under various working conditions, and the results prove the effectiveness and accuracy of the proposed parameter identification method, which has certain engineering reference value for the practical application of energy storage system.

Key words

lithium-ion battery / equivalent circuit model / parameter identification / time scales / recursive least squares / Kalman filtering

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Xia Yongkai, Xia Xiangyang, Yan Li, Tan Xinxin, Huang Ru, Deng Hualong. MODELING AND PARAMETER IDENTIFICATION OF LITHIUM-ION BATTERIES CONSIDERING MULTI-TIME SCALE CHARACTERISTICS[J]. Acta Energiae Solaris Sinica. 2025, 46(9): 263-272 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0718

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