{"title":"锂离子电池商用阳极的故障检测技术","authors":"Guoyu Qian, Xinghan Chen, Hai Lin, Luyi Yang","doi":"10.1016/j.xcrp.2024.102153","DOIUrl":null,"url":null,"abstract":"<p>Energy density, power density, and safety of commercial lithium-ion batteries are largely dictated by anodes. Considering the multi-scale nature (10<sup>−8</sup>–10<sup>2</sup> cm) as well as the multi-physics properties—including electricity, force, and heat—of lithium-ion batteries, it is imperative to systematically categorize and summarize the failure-detection techniques for anodes in commercial lithium-ion batteries, namely, carbon-based and silicon-based anodes. In this perspective, we categorize the state-of-the-art failure-detection techniques for anodes into four dimensions—bulk of anode particles, interface/interphase of anode particles, electrodes, and batteries—aiming to develop the framework of multi-dimension failure detection. Based on the above four dimensions, this paper elaborates on characterization techniques applicable to different detection scales and the corresponding failure causes. Through examples that integrate multi-physical moduli or multi-dimensional characterization techniques, we further discuss the importance of developing collaborative characterization methods to acquire different physio-chemical information for anodes, providing relevant professionals with effective technical guidance.</p>","PeriodicalId":9703,"journal":{"name":"Cell Reports Physical Science","volume":null,"pages":null},"PeriodicalIF":7.9000,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Failure-detecting techniques for commercial anodes of lithium-ion batteries\",\"authors\":\"Guoyu Qian, Xinghan Chen, Hai Lin, Luyi Yang\",\"doi\":\"10.1016/j.xcrp.2024.102153\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Energy density, power density, and safety of commercial lithium-ion batteries are largely dictated by anodes. Considering the multi-scale nature (10<sup>−8</sup>–10<sup>2</sup> cm) as well as the multi-physics properties—including electricity, force, and heat—of lithium-ion batteries, it is imperative to systematically categorize and summarize the failure-detection techniques for anodes in commercial lithium-ion batteries, namely, carbon-based and silicon-based anodes. In this perspective, we categorize the state-of-the-art failure-detection techniques for anodes into four dimensions—bulk of anode particles, interface/interphase of anode particles, electrodes, and batteries—aiming to develop the framework of multi-dimension failure detection. Based on the above four dimensions, this paper elaborates on characterization techniques applicable to different detection scales and the corresponding failure causes. Through examples that integrate multi-physical moduli or multi-dimensional characterization techniques, we further discuss the importance of developing collaborative characterization methods to acquire different physio-chemical information for anodes, providing relevant professionals with effective technical guidance.</p>\",\"PeriodicalId\":9703,\"journal\":{\"name\":\"Cell Reports Physical Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":7.9000,\"publicationDate\":\"2024-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cell Reports Physical Science\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1016/j.xcrp.2024.102153\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell Reports Physical Science","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1016/j.xcrp.2024.102153","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Failure-detecting techniques for commercial anodes of lithium-ion batteries
Energy density, power density, and safety of commercial lithium-ion batteries are largely dictated by anodes. Considering the multi-scale nature (10−8–102 cm) as well as the multi-physics properties—including electricity, force, and heat—of lithium-ion batteries, it is imperative to systematically categorize and summarize the failure-detection techniques for anodes in commercial lithium-ion batteries, namely, carbon-based and silicon-based anodes. In this perspective, we categorize the state-of-the-art failure-detection techniques for anodes into four dimensions—bulk of anode particles, interface/interphase of anode particles, electrodes, and batteries—aiming to develop the framework of multi-dimension failure detection. Based on the above four dimensions, this paper elaborates on characterization techniques applicable to different detection scales and the corresponding failure causes. Through examples that integrate multi-physical moduli or multi-dimensional characterization techniques, we further discuss the importance of developing collaborative characterization methods to acquire different physio-chemical information for anodes, providing relevant professionals with effective technical guidance.
期刊介绍:
Cell Reports Physical Science, a premium open-access journal from Cell Press, features high-quality, cutting-edge research spanning the physical sciences. It serves as an open forum fostering collaboration among physical scientists while championing open science principles. Published works must signify significant advancements in fundamental insight or technological applications within fields such as chemistry, physics, materials science, energy science, engineering, and related interdisciplinary studies. In addition to longer articles, the journal considers impactful short-form reports and short reviews covering recent literature in emerging fields. Continually adapting to the evolving open science landscape, the journal reviews its policies to align with community consensus and best practices.