Energy Storage Science and Technology ›› 2025, Vol. 14 ›› Issue (2): 822-830.doi: 10.19799/j.cnki.2095-4239.2024.0843

• Energy Storage Test: Methods and Evaluation • Previous Articles     Next Articles

The two-stage sorting method for retired power battery modules based on multistate coupling

Chunsheng LI1(), Shengchun WANG1, Chi SONG2, Lihai LIU1, Ning YAN3()   

  1. 1.CNPC Jichai Power Company Limited, Jinan 250306, Shandong, China
    2.Yantai Development Zone Delian Software Co. , Ltd, Yantai 264006, Shandong, China
    3.School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, Liaoning, China
  • Received:2024-09-09 Revised:2024-10-15 Online:2025-02-28 Published:2025-03-18
  • Contact: Ning YAN E-mail:lcs_001@126.com;sutxny_yn@126.com

Abstract:

To effectively reduce the lifetime loss of retired power batteries and improve the consistency of functional states during battery module operation, this study proposes a multistate coupled battery module screening method that considers the state of energy (SOE), state of health (SOH), and state of power (SOP). First, key electrical performance parameters of retired power batteries, such as capacity, voltage, and internal resistance, are extracted. Using this data, a multistate coupling characterization model is developed to represent the SOE, SOH, and SOP of battery modules. Next, the SOE characteristics of the battery modules are estimated, and the consistency of SOH across the modules is predicted to enable hierarchical utilization. An improved K-means clustering algorithm is used for the first stage of dynamic sorting of battery modules. Finally, a multiparameter SOP characterization model is constructed to estimate the SOP deviation among batteries within each module. The battery module is dynamically sorted in the second stage. Simulation case analysis demonstrates the effectiveness of this method. It significantly improves the consistency of battery modules during their second use, reduces system operational life loss, and establishes a theoretical foundation for large-scale secondary utilization in energy storage systems.

Key words: multistate coupling, decommissioned power battery modules, two-stage sorting, improved K-means clustering, dynamic consistency

CLC Number: