Thermal Safety Frontiers in Electrochemical Energy Storage: Thermal Runaway Mechanisms, Intelligent Sensing, and Multiscale Suppression Strategies

Abstract With the continuous pursuit of high energy density in electrochemical energy storage systems, the thermal safety of lithium-ion batteries has emerged as a critical bottleneck restricting their large-scale application. This article systematically reviews the frontier advances in the field of lithium-ion battery thermal safety, innovatively establishing a comprehensive knowledge framework spanning from microscopic mechanisms to macroscopic system-level protection. First, it provides an in-depth analysis of the triggering mechanisms of thermal runaway and the cross-scale chain reaction evolution pathways, summarizing mechanism-based and data-driven modeling and prediction methods. Second, it focuses on real-time intelligent monitoring and early warning technologies for thermal runaway, constructing a full-process technical system covering “sensing-identification-warning”. In terms of cell-level protection, it systematically outlines the paradigm evolution of cell materials from traditional passive protection toward active-response approaches. Finally, it discusses thermal management and engineering protection strategies at the system integration level, summarizing the critical pathways for enhancing system safety design and failure response capabilities. This review aims to provide a systematic theoretical perspective for resolving the inherent trade-off between energy and safety in high-energy-density batteries and to offer comprehensive theoretical insights and innovative technological pathways for the next generation of energy storage systems.

Authors

Institutions

Publication Details

Journal
Nano-Micro Letters
Published
2026-11-02
DOI
https://doi.org/10.1007/s40820-026-02340-3
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thermal Safety Frontiers in Electrochemical Energy Storage: Thermal Runaway Mechanisms, Intelligent Sensing, and Multiscale Suppression Strategies

Zhao-Yu Lai, Liangyu Li, Xianyong Wu, Zhongxue Chen
Nano-Micro Letters
Advanced Battery Technologies Research
article

Thermal Safety Frontiers in Electrochemical Energy Storage: Thermal Runaway Mechanisms, Intelligent Sensing, and Multiscale Suppression Strategies

Zhao-Yu Lai, Liangyu Li, Xianyong Wu, Zhongxue Chen
article en

Abstract

Abstract With the continuous pursuit of high energy density in electrochemical energy storage systems, the thermal safety of lithium-ion batteries has emerged as a critical bottleneck restricting their large-scale application. This article systematically reviews the frontier advances in the field of lithium-ion battery thermal safety, innovatively establishing a comprehensive knowledge framework spanning from microscopic mechanisms to macroscopic system-level protection. First, it provides an in-depth analysis of the triggering mechanisms of thermal runaway and the cross-scale chain reaction evolution pathways, summarizing mechanism-based and data-driven modeling and prediction methods. Second, it focuses on real-time intelligent monitoring and early warning technologies for thermal runaway, constructing a full-process technical system covering “sensing-identification-warning”. In terms of cell-level protection, it systematically outlines the paradigm evolution of cell materials from traditional passive protection toward active-response approaches. Finally, it discusses thermal management and engineering protection strategies at the system integration level, summarizing the critical pathways for enhancing system safety design and failure response capabilities. This review aims to provide a systematic theoretical perspective for resolving the inherent trade-off between energy and safety in high-energy-density batteries and to offer comprehensive theoretical insights and innovative technological pathways for the next generation of energy storage systems.

Nano-Micro LettersVol. 19(1)
University of Puerto Rico at Río Piedras (PR), Wuhan University (CN)
Openalex Percentile: Top 23%
Advanced Battery Technologies Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon