A review on models to prevent and control lithium-ion battery failures: From diagnostic and prognostic modeling to systematic risk analysis

Qiaoqiao Yang, Chengshan Xu, Mengyao Geng, Huixing Meng*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

10 Citations (Scopus)

Abstract

The lithium-ion batteries (LIBs) are indispensible to fulfill the increasing demand for energy storage. Simultaneously, accidents related to battery-powered facilities have been reported constantly, making it quite essential to prevent and control battery failures. In this paper, we purvey a review of the models used for LIB risk management, from electrical and thermal sub-systems to the whole battery system. Firstly, the literature review of diagnostic and prognostic models for electrical and thermal behaviors of batteries is conducted. Then we overview the application of systematic techniques on LIB-related accidents, which illustrates the root cause and evolution of thermal runaway. Eventually, we suggest research directions for ameliorating LIB safety. This review is expected to be helpful for researchers and engineers in the domain of battery safety.

Original languageEnglish
Article number109230
JournalJournal of Energy Storage
Volume74
DOIs
Publication statusPublished - 25 Dec 2023

Keywords

  • Battery safety
  • Fault diagnosis
  • Lithium-ion battery
  • Risk assessment
  • Systematic risk analysis

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