Detail View

Multiscale Imaging Techniques for Real-Time, Noninvasive Diagnosis of Li-Ion Battery Failures
Citations

WEB OF SCIENCE

Citations

SCOPUS

Metadata Downloads

DC Field Value Language
dc.contributor.author Lee, Mingyu -
dc.contributor.author Lee, Jiwon -
dc.contributor.author Shin, Yewon -
dc.contributor.author Lee, Hongkyung -
dc.date.accessioned 2023-12-21T10:40:20Z -
dc.date.available 2023-12-21T10:40:20Z -
dc.date.created 2023-10-27 -
dc.date.issued 2023-11 -
dc.identifier.issn 2688-4046 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/46718 -
dc.description.abstract With the increasing popularity of battery-powered mobility, ensuring the safety and reliability of Li-ion batteries (LIBs) has become critical for manufacturers. Despite advanced manufacturing processes for large-scale Li-ion cells, “latent defects” still unintentionally appear, due to imbalanced battery design, invisible faults, and extreme operating conditions. These defects cause performance degradation and can even lead to battery fires. Hence, early detection of latent defects, along with understanding the influence of cell parameters and operating conditions on battery failure scenarios, is crucial. For straightforward investigations and interpretations, noninvasive and in operando battery imaging techniques and methods have been proposed using X-rays, neutrons, and ultrasound, as these can penetrate active and component materials and cell packaging. Moreover, magnetic-field-guided visualization of the current distribution pattern in cells under a current load has been proposed to identify invisible defects. This review thoroughly examines various imaging techniques for internal batteries, from the atomic and molecular levels in electrode materials and interfaces to macroscale battery systems. By assessing qualitative case studies and newly discovered phenomena, this review provides valuable insights into state-of-the-art noninvasive battery imaging and its potential to improve the safety and reliability of LIB technology. © 2023 The Authors. Small Science published by Wiley-VCH GmbH. -
dc.language English -
dc.publisher Wiley-VCH -
dc.title Multiscale Imaging Techniques for Real-Time, Noninvasive Diagnosis of Li-Ion Battery Failures -
dc.type Article -
dc.identifier.doi 10.1002/smsc.202300063 -
dc.identifier.wosid 001077041700001 -
dc.identifier.scopusid 2-s2.0-85173974802 -
dc.identifier.bibliographicCitation Lee, Mingyu. (2023-11). Multiscale Imaging Techniques for Real-Time, Noninvasive Diagnosis of Li-Ion Battery Failures. Small Science, 3(11). doi: 10.1002/smsc.202300063 -
dc.description.isOpenAccess TRUE -
dc.subject.keywordAuthor battery diagnosis -
dc.subject.keywordAuthor current distribution -
dc.subject.keywordAuthor latent defects -
dc.subject.keywordAuthor lithium batteries -
dc.subject.keywordAuthor multiscale imaging techniques -
dc.subject.keywordPlus LITHIUM-ION -
dc.subject.keywordPlus IN-SITU -
dc.subject.keywordPlus ELECTRIC VEHICLES -
dc.subject.keywordPlus SPATIAL-DISTRIBUTION -
dc.subject.keywordPlus GRAPHITE ELECTRODE -
dc.subject.keywordPlus AGING MECHANISMS -
dc.subject.keywordPlus THERMAL RUNAWAY -
dc.subject.keywordPlus FILLING PROCESS -
dc.subject.keywordPlus SHORT CIRCUITS -
dc.subject.keywordPlus CELLS -
dc.citation.number 11 -
dc.citation.title Small Science -
dc.citation.volume 3 -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Science & Technology - Other Topics; Materials Science -
dc.relation.journalWebOfScienceCategory Nanoscience & Nanotechnology; Materials Science, Multidisciplinary -
dc.type.docType Review -
Show Simple Item Record

File Downloads

공유

qrcode
공유하기

Total Views & Downloads