SOH PREDICTION CONSIDERING RANGE OF SOC COMMONLY USED IN ACTUAL DECOMMISSIONED BATTERIES

Du Yan; Tao Xiao; Su Jianhui; Li Jinzhong; Xie Yuguang; Zhu Ke

doi:10.19912/j.0254-0096.tynxb.2023-1589

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (2) : 99-105. DOI: 10.19912/j.0254-0096.tynxb.2023-1589

SOH PREDICTION CONSIDERING RANGE OF SOC COMMONLY USED IN ACTUAL DECOMMISSIONED BATTERIES

Du Yan^1,2, Tao Xiao^1,2, Su Jianhui^1,2, Li Jinzhong³, Xie Yuguang³, Zhu Ke¹

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Abstract

Regarding the issue of retired batteries having a higher degree of aging, the health characteristics used in power batteries are insufficient to meet the actual state of charge （SOC） range during the operation of retired batteries, it is proposed to obtain battery charging data within the main distribution range of SOC during actual use of decommissioned batteries, and predict SOH through the obtained data, which improves the practicality of the algorithm. On this basis, aiming at the problem that it is difficult for traditional SOH estimation algorithm to extract the features that can reflect the aging characteristics of batteries, and the data cannot be fully utilized, a one-dimensional deep convolutional neural network （CNN） is proposed to extract the battery features, and then the features are input into the long and short term neural network （LSTM） to predict SOH. The algorithm was verified on the NASA random data set of lithium-ion batteries, and the method can achieve accurate SOH estimation with fewer battery fragments, and is more suitable for the actual use of decommissioned batteries than the traditional SOH algorithm.

Key words

decommissioned battery / battery health status / state of charge / convolutional neural network / long and short term neural networks / charging data segment

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Du Yan, Tao Xiao, Su Jianhui, Li Jinzhong, Xie Yuguang, Zhu Ke. SOH PREDICTION CONSIDERING RANGE OF SOC COMMONLY USED IN ACTUAL DECOMMISSIONED BATTERIES[J]. Acta Energiae Solaris Sinica. 2025, 46(2): 99-105 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1589

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