LOW VOLTAGE APPARATUS ›› 2021, Vol. 0 ›› Issue (9): 10-18.doi: 10.16628/j.cnki.2095-8188.2021.09.002

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Overview of Key Technologies for Lithium-ion Battery Life Prediction Based on Data-Driven Methods

LI Jianlin1, WANG Zhe1, XU Dezhi2, MA Fuyuan3, MENG Gaojun4   

  1. 1. Energy Storage Technology Engineering Research Center (North China University of Technology),Beijing 100144, China
    2. School of Internet of Things Engineering,Jiangnan University, Wuxi 214122, China
    3. Zhejiang Zheneng Technology Research Institute Co.,Ltd., Hangzhou 311121, China
    4. Nanjing Institute of Technology, Nanjing 211167, China]
  • Received:2021-05-10 Online:2021-09-30 Published:2022-01-25

Abstract:

In recent years,applications in the fields of electric vehicles,electronic products and aerospace systems have placed higher and higher requirements on lithium-ion batteries.The timely replacement of lithium-ion batteries at the end of their life is conducive to the rational use of lithium-ion batteries.performance.This article first combs the traditional data-driven methods of lithium-ion battery life prediction,then analyzes the existing methods of lithium-ion battery life prediction,and then compares the traditional and existing methods of lithium-ion battery life prediction,and finally compares them.By analyzing the advantages and disadvantages of traditional and existing lithium-ion battery life prediction methods,the management and control of the lithium-ion battery energy storage system are more effective.

Key words: data-driver, lithium-ion battery, life prediction, traditional method, existing method

CLC Number: