Multiscale Imaging Techniques for Real‐Time, Noninvasive Diagnosis of Li‐Ion Battery Failures
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 ba...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley-VCH
2023-11-01
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| Series: | Small Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/smsc.202300063 |
| _version_ | 1797614920160772096 |
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| author | Mingyu Lee Jiwon Lee Yewon Shin Hongkyung Lee |
| author_facet | Mingyu Lee Jiwon Lee Yewon Shin Hongkyung Lee |
| author_sort | Mingyu Lee |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T07:19:07Z |
| format | Article |
| id | doaj.art-ea7af832d8ee4e5eb0aa1106f542ac9f |
| institution | Directory Open Access Journal |
| issn | 2688-4046 |
| language | English |
| last_indexed | 2024-03-11T07:19:07Z |
| publishDate | 2023-11-01 |
| publisher | Wiley-VCH |
| record_format | Article |
| series | Small Science |
| spelling | doaj.art-ea7af832d8ee4e5eb0aa1106f542ac9f2023-11-17T08:06:28ZengWiley-VCHSmall Science2688-40462023-11-01311n/an/a10.1002/smsc.202300063Multiscale Imaging Techniques for Real‐Time, Noninvasive Diagnosis of Li‐Ion Battery FailuresMingyu Lee0Jiwon Lee1Yewon Shin2Hongkyung Lee3Department of Energy Science and Engineering Daegu Gyeongbuk Institute of Science and Technology (DGIST) 333 Technojungang-ro, Dalsung-gun Daegu 42988 Republic of KoreaDepartment of Energy Science and Engineering Daegu Gyeongbuk Institute of Science and Technology (DGIST) 333 Technojungang-ro, Dalsung-gun Daegu 42988 Republic of KoreaDepartment of Energy Science and Engineering Daegu Gyeongbuk Institute of Science and Technology (DGIST) 333 Technojungang-ro, Dalsung-gun Daegu 42988 Republic of KoreaDepartment of Energy Science and Engineering Daegu Gyeongbuk Institute of Science and Technology (DGIST) 333 Technojungang-ro, Dalsung-gun Daegu 42988 Republic of KoreaWith 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.https://doi.org/10.1002/smsc.202300063battery diagnosiscurrent distributionlatent defectslithium batteriesmultiscale imaging techniques |
| spellingShingle | Mingyu Lee Jiwon Lee Yewon Shin Hongkyung Lee Multiscale Imaging Techniques for Real‐Time, Noninvasive Diagnosis of Li‐Ion Battery Failures Small Science battery diagnosis current distribution latent defects lithium batteries multiscale imaging techniques |
| title | Multiscale Imaging Techniques for Real‐Time, Noninvasive Diagnosis of Li‐Ion Battery Failures |
| title_full | Multiscale Imaging Techniques for Real‐Time, Noninvasive Diagnosis of Li‐Ion Battery Failures |
| title_fullStr | Multiscale Imaging Techniques for Real‐Time, Noninvasive Diagnosis of Li‐Ion Battery Failures |
| title_full_unstemmed | Multiscale Imaging Techniques for Real‐Time, Noninvasive Diagnosis of Li‐Ion Battery Failures |
| title_short | Multiscale Imaging Techniques for Real‐Time, Noninvasive Diagnosis of Li‐Ion Battery Failures |
| title_sort | multiscale imaging techniques for real time noninvasive diagnosis of li ion battery failures |
| topic | battery diagnosis current distribution latent defects lithium batteries multiscale imaging techniques |
| url | https://doi.org/10.1002/smsc.202300063 |
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