Jiaojiao Deng , Xiaoliang Yu , Dongqing Pang , Ban Fei , Jinhan Mo
{"title":"用于监测锂离子电池热失控的尖端气体传感器设计:一项重要综述","authors":"Jiaojiao Deng , Xiaoliang Yu , Dongqing Pang , Ban Fei , Jinhan Mo","doi":"10.1016/j.jechem.2025.06.025","DOIUrl":null,"url":null,"abstract":"<div><div>Thermal runaway (TR) in lithium-ion batteries (LIBs) poses significant safety risks due to its potential to trigger fires and explosions. Early warning of battery TR through gas sensing has emerged as a promising strategy for hazard mitigation. However, comprehensive reviews critically summarizing recent progress in advanced gas sensing technologies remain scarce. To fill this void, we present a critical review consolidating state-of-the-art advancements in gas sensing for TR early warning. This review first overviews the fundamentals of gas sensing for TR monitoring, encompassing thermodynamics and kinetic principles of gas evolution alongside current gas sensing technologies. We then comprehensively explored multi-scale engineering methods, spanning material innovations, device configurations, and system-level integration, with an emphasis on cutting-edge techniques like additive manufacturing and data-driven design frameworks. Future research priorities are identified, including the enhancement of gas selectivity and environmental robustness, the development of machine learning-driven intelligent gas sensing networks, and the establishment of standardized protocols for practical deployment. By integrating interdisciplinary insights derived from materials science, electrochemistry, and embedded systems engineering, this review is positioned to offer actionable guidelines for advancing scalable and reliable gas-sensing solutions toward boosted LIB safety.</div></div>","PeriodicalId":15728,"journal":{"name":"Journal of Energy Chemistry","volume":"109 ","pages":"Pages 769-785"},"PeriodicalIF":13.1000,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cutting-edge gas sensor design for monitoring thermal runaway in lithium-ion batteries: a critical review\",\"authors\":\"Jiaojiao Deng , Xiaoliang Yu , Dongqing Pang , Ban Fei , Jinhan Mo\",\"doi\":\"10.1016/j.jechem.2025.06.025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Thermal runaway (TR) in lithium-ion batteries (LIBs) poses significant safety risks due to its potential to trigger fires and explosions. Early warning of battery TR through gas sensing has emerged as a promising strategy for hazard mitigation. However, comprehensive reviews critically summarizing recent progress in advanced gas sensing technologies remain scarce. To fill this void, we present a critical review consolidating state-of-the-art advancements in gas sensing for TR early warning. This review first overviews the fundamentals of gas sensing for TR monitoring, encompassing thermodynamics and kinetic principles of gas evolution alongside current gas sensing technologies. We then comprehensively explored multi-scale engineering methods, spanning material innovations, device configurations, and system-level integration, with an emphasis on cutting-edge techniques like additive manufacturing and data-driven design frameworks. Future research priorities are identified, including the enhancement of gas selectivity and environmental robustness, the development of machine learning-driven intelligent gas sensing networks, and the establishment of standardized protocols for practical deployment. By integrating interdisciplinary insights derived from materials science, electrochemistry, and embedded systems engineering, this review is positioned to offer actionable guidelines for advancing scalable and reliable gas-sensing solutions toward boosted LIB safety.</div></div>\",\"PeriodicalId\":15728,\"journal\":{\"name\":\"Journal of Energy Chemistry\",\"volume\":\"109 \",\"pages\":\"Pages 769-785\"},\"PeriodicalIF\":13.1000,\"publicationDate\":\"2025-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Energy Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2095495625005005\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Energy\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Energy Chemistry","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2095495625005005","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Energy","Score":null,"Total":0}
Cutting-edge gas sensor design for monitoring thermal runaway in lithium-ion batteries: a critical review
Thermal runaway (TR) in lithium-ion batteries (LIBs) poses significant safety risks due to its potential to trigger fires and explosions. Early warning of battery TR through gas sensing has emerged as a promising strategy for hazard mitigation. However, comprehensive reviews critically summarizing recent progress in advanced gas sensing technologies remain scarce. To fill this void, we present a critical review consolidating state-of-the-art advancements in gas sensing for TR early warning. This review first overviews the fundamentals of gas sensing for TR monitoring, encompassing thermodynamics and kinetic principles of gas evolution alongside current gas sensing technologies. We then comprehensively explored multi-scale engineering methods, spanning material innovations, device configurations, and system-level integration, with an emphasis on cutting-edge techniques like additive manufacturing and data-driven design frameworks. Future research priorities are identified, including the enhancement of gas selectivity and environmental robustness, the development of machine learning-driven intelligent gas sensing networks, and the establishment of standardized protocols for practical deployment. By integrating interdisciplinary insights derived from materials science, electrochemistry, and embedded systems engineering, this review is positioned to offer actionable guidelines for advancing scalable and reliable gas-sensing solutions toward boosted LIB safety.
期刊介绍:
The Journal of Energy Chemistry, the official publication of Science Press and the Dalian Institute of Chemical Physics, Chinese Academy of Sciences, serves as a platform for reporting creative research and innovative applications in energy chemistry. It mainly reports on creative researches and innovative applications of chemical conversions of fossil energy, carbon dioxide, electrochemical energy and hydrogen energy, as well as the conversions of biomass and solar energy related with chemical issues to promote academic exchanges in the field of energy chemistry and to accelerate the exploration, research and development of energy science and technologies.
This journal focuses on original research papers covering various topics within energy chemistry worldwide, including:
Optimized utilization of fossil energy
Hydrogen energy
Conversion and storage of electrochemical energy
Capture, storage, and chemical conversion of carbon dioxide
Materials and nanotechnologies for energy conversion and storage
Chemistry in biomass conversion
Chemistry in the utilization of solar energy