TY - JOUR
T1 - Engineering semiconductor metal oxide nanostructures for chemiresistive gas sensors in early warning of battery thermal runaway
AU - Li, Ping
AU - Wang, Zizheng
AU - Feng, Youyou
AU - Liao, Xinyu
AU - Deng, Yonghui
AU - Wei, Jing
N1 - Publisher Copyright:
© 2025 Elsevier B.V.
PY - 2025/12
Y1 - 2025/12
N2 - Thermal runaway in lithium-ion batteries poses significant safety challenges, often resulting in catastrophic fire and explosion incidents. Despite advancements in battery technology, the accurate detection and early warning of such events remain unresolved. This review examines the potential of semiconductor metal oxide (SMO)-based chemiresistive gas sensors to address critical battery safety challenges. Firstly, it describes the types of gases produced during battery thermal runaway (e.g., H2, CO, CO2, CH4) and their production mechanisms. Secondly, it highlights recent progress in designing and functionalizing SMOs for gas detection purposes, including heteroatom doping, noble metal loading, heterostructure construction, and light-induced excitation. Thirdly, it discusses the sensing performance of different characteristic gases during battery thermal runaway. Finally, it explores the integration of SMO materials onto MEMS sensors and the utilization of machine learning in gas sensing applications to enhance real-time safety monitoring in battery systems. This review underscores the urgent need for efficient and reliable semiconductor metal oxide sensors strategically integrated into battery management systems to mitigate thermal runaway risks. Future advances will hinge on enhancing sensing performance (e.g., selectivity, long-term stability) while coupling SMO sensors with machine learning to enable practical and intelligent early-warning capabilities.
AB - Thermal runaway in lithium-ion batteries poses significant safety challenges, often resulting in catastrophic fire and explosion incidents. Despite advancements in battery technology, the accurate detection and early warning of such events remain unresolved. This review examines the potential of semiconductor metal oxide (SMO)-based chemiresistive gas sensors to address critical battery safety challenges. Firstly, it describes the types of gases produced during battery thermal runaway (e.g., H2, CO, CO2, CH4) and their production mechanisms. Secondly, it highlights recent progress in designing and functionalizing SMOs for gas detection purposes, including heteroatom doping, noble metal loading, heterostructure construction, and light-induced excitation. Thirdly, it discusses the sensing performance of different characteristic gases during battery thermal runaway. Finally, it explores the integration of SMO materials onto MEMS sensors and the utilization of machine learning in gas sensing applications to enhance real-time safety monitoring in battery systems. This review underscores the urgent need for efficient and reliable semiconductor metal oxide sensors strategically integrated into battery management systems to mitigate thermal runaway risks. Future advances will hinge on enhancing sensing performance (e.g., selectivity, long-term stability) while coupling SMO sensors with machine learning to enable practical and intelligent early-warning capabilities.
KW - Battery thermal runaway
KW - Carbon monoxide
KW - Electrolyte
KW - Gas sensors
KW - Hydrogen
KW - Lithium-ion batteries
KW - Semiconductor metal oxides
UR - https://www.scopus.com/pages/publications/105017791813
U2 - 10.1016/j.trac.2025.118480
DO - 10.1016/j.trac.2025.118480
M3 - 文献综述
AN - SCOPUS:105017791813
SN - 0165-9936
VL - 193
JO - TrAC - Trends in Analytical Chemistry
JF - TrAC - Trends in Analytical Chemistry
M1 - 118480
ER -