Joint estimation of SOC and peak power capability for series reused battery pack based on screening process method

Yujie Zhang, Baicheng Liu, Hongguang Zhang, Rao Kuang, Yonghong Xu, Jian Zhang, Fubin Yang and Shuo Wang

Energy, 2024, vol. 313, issue C

Abstract: Lithium-ion battery disposal is becoming an increasingly important issue with the rapid growth of Electric Vehicles (EVs) regarding resource conservation and environmental sustainability. It is considered the most suitable solution to reuse rather than dispose of retired batteries. However, the precision in estimating the battery states is of great importance to ensure the operational safety and efficiency of reused battery packs. This study proposes a joint estimation method to predict the State of Charge (SOC) and the peak power capability for reused battery packs considering inconsistency. The primary content of this work is described as follows. (1) This paper designs an improved screening method for evaluating the consistency of the reused batteries that are used to connect to the series battery pack. (2) A second-order RC model is selected as the cell mean model (CMM) to represent the overall performance of the reused battery pack. On this basis, the mean SOC is estimated by using Sage-Husa adaptive algorithm and extended Kalman filter (SH-AEKF), whereas the peak power capability is evaluated by considering multiple limitations. (3) An experiment is conducted to evaluate the robustness of the joint estimation method. The results show that the maximum absolute error of SOC estimation is below ±3 % while the mean absolute percentage error (MAPE) of peak power capability estimation could be limited to less than 3.5 %. This study indicates the high accuracy and reliability of the proposed joint estimation method for retired battery packs.

Keywords: Reused battery; Screening method; State of charge; Peak power capability; Battery pack (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:313:y:2024:i:c:s0360544224037186

DOI: 10.1016/j.energy.2024.133940

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