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March 6, 202616 citationsOpen Access

Thermal Runaway in Lithium-Ion Batteries: A Review of Mechanisms, Prediction Approaches, and Mitigation Strategies

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ZCZeyu ChenJZJiakai ZhangCLChengxin Liu

Key Points

  • The review aims to summarize mechanisms of thermal runaway in lithium-ion batteries and explore prediction and mitigation approaches.
  • Systematic review of thermal runaway mechanisms
  • Classification of prediction approaches into categories
  • Analysis of detection principles and limitations
  • Discussion of mitigation strategies including thermal management and material modification
  • Identified fundamental mechanisms that escalate thermal runaway hazards
  • Classified prediction methods into electrical, thermal, mechanical, and data-driven
  • Highlighted current limitations in existing early-warning systems
  • Discussed progress in system-level thermal management and material enhancements

Abstract

Thermal runaway is one of the most critical safety challenges limiting the widespread deployment of lithium-ion batteries in electric vehicles, energy storage systems, and aerospace applications. With the continuous increase in battery energy density, the fault-to-failure transition becomes increasingly rapid, which makes early detection and effective intervention quite difficult. This review systematically summarizes the fundamental mechanisms underlying thermal runaway that drive the escalation of battery hazards. Existing thermal runaway prediction and early warning approaches are comprehensively classified into electrical, thermal, mechanical/gas, and data-driven categories. The detection principles, performance characteristics, and current limitations are critically analyzed. Furthermore, research progress in mitigation and suppression, including system-level thermal management, material-level approach, and structure modification, is discussed. This work aims to support the development of advanced early-warning technologies and to provide guidance for the design of safer next-generation lithium-ion battery systems.

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Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/69aa7048531e4c4a9ff59f22https://doi.org/10.3390/batteries12030088
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