A review on fault mechanism and diagnosis approach for Li-Ion batteries

By Chao Wu, Chunbo Zhu, Yunwang Ge, Yongping Zhao. 2015

146 citations recorded by the source corpus.

Li-ion battery has attracted more and more attention as it is a promising storage device which has long service life, higher energy, and power density. However, battery ageing always occurs during operation and leads to performance degradation and system fault which not only causes inconvenience, but also risks serious consequences such as thermal runaway or even explosion. This paper reviews recent research and development of ageing mechanisms of Li-ion batteries to understand the origins and symptoms of Li-ion battery faults. Common ageing factors are covered with their effects and consequences. Through ageing tests, relationship between performance and ageing factors, as well as cross-dependence among factors can be quantified. Summary of recent research about fault diagnosis technology for Li-ion batteries is concluded with their cons and pros. The suggestions on novel fault diagnosis approach and remaining challenges are provided at the end of this paper.

Subfields: Automotive Engineering, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/f59f74846d86180697c3a597007e828cbe2bf98f

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In Automotive Engineering

  1. Kailong Liu
  2. Xianke Lin
  3. Simona Onori
  4. Xiaosong Hu
  5. Kai Zhang
  6. Satadru Dey

In Electrical and Electronic Engineering

  1. Kailong Liu
  2. Xianke Lin
  3. Simona Onori
  4. Xiaosong Hu
  5. Kai Zhang
  6. Satadru Dey

In Safety, Risk, Reliability and Quality

  1. Xiaosong Hu
  2. Simona Onori
  3. Kailong Liu
  4. Xianke Lin

Citations in the corpus