Energy Storage Science and Technology ›› 2019, Vol. 8 ›› Issue (5): 807-812.doi: 10.12028/j.issn.2095-4239.2019.0041

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Review on state of health estimation of retired lithium-ion batteries

LI Jindong, GU Yueyuan, WANG Luyang, WU Xu   

  1. School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
  • Received:2019-03-25 Revised:2019-04-01 Online:2019-09-01 Published:2019-04-11

Abstract: Due to the discrepancy among the batteries in the retired battery pack, to implement the classification and matching for batteries through state of health (SOH) estimating technology is a key problem of the industrialization of second use of retired Li-ion batteries. The construction of a SOH estimation system for retired Li-ion batteries involves various technical issues such as battery modelling, battery testing, data processing and algorithm development. Identification of model parameters and health indicators extraction are two main technical routes for SOH system construction. There are many researchers have studied in the battery model simplification, battery test method design, health indicators selection and algorithm optimization. The analysis of the research progress indicates that the major problems of the SOH estimating system are long test time and low generalization ability. The SOH estimation system with better performances would be developed by test method optimization and data fusion technology.

Key words: lithium-ion batteries, second use, state of health estimation

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