Parameter Identification Model and Capacity Analysis of Retired Power Battery

DOI Web Site 参考文献10件
  • WANG Xing Gui
    College of Electrical and Information Engineering, Lanzhou University of Technology
  • LIU Jie Wen
    College of Electrical and Information Engineering, Lanzhou University of Technology
  • WANG Hai Liang
    College of Electrical and Information Engineering, Lanzhou University of Technology
  • DING Ying Jie
    College of Electrical and Information Engineering, Lanzhou University of Technology
  • GUO Yong Ji
    College of Electrical and Information Engineering, Lanzhou University of Technology

抄録

<p>The accuracy and connection mode of the equivalent model of retired power battery cells will affect the size of the combined capacity. To this end, this article analyzes series-parallel combination capacity of retired power batteries. First, because an accurate single equivalent circuit model of retired power batteries is necessary for the capacity analysis of the combination, the forgetting factor recursive least squares (FFRLS) algorithm is used to identify the parameters of the model, and the second-order RC equivalent circuit is selected as the single equivalent circuit model of retired power battery. Then the equivalent circuit model is used as the basis, respectively constructing first-parallel-before-series and first-series-before-parallel power battery combination, and fully and unequally arranged the retired power batteries under the two assemblies. Finally, the capacity and distribution characteristics of the two combinations under different arrangements are verified by simulation. The results show that no matter how the arrangement is changed, the maximum capacity of the first-parallel-before-series retired power battery combination is always better than the first-series-before-parallel combination, and the distribution position of the single retired battery in both combinations under the maximum combination capacity is obtained.</p>

収録刊行物

  • Electrochemistry

    Electrochemistry 91 (3), 037001-037001, 2023-03-14

    公益社団法人　電気化学会

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