Cited 0 time in
Rapid thermal runaway detection of lithium-ion battery via swelling-based state-of-charge monitoring using piezoresistive sponge sensor
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bang, Joohyung | - |
| dc.contributor.author | Chun, Byungkwon | - |
| dc.contributor.author | Kim, Minhyeok | - |
| dc.contributor.author | Lim, Jaeyoung | - |
| dc.contributor.author | Han, Yongha | - |
| dc.contributor.author | So, Hongyun | - |
| dc.date.accessioned | 2025-03-20T06:00:17Z | - |
| dc.date.available | 2025-03-20T06:00:17Z | - |
| dc.date.issued | 2025-05 | - |
| dc.identifier.issn | 2590-1168 | - |
| dc.identifier.issn | 2590-1168 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/206834 | - |
| dc.description.abstract | The early detection of thermal runaway (TR) and the accurate monitoring of the state of lithium-ion batteries (LIBs) are exceptionally critical in large-capacity applications. However, achieving both practicality and effective sensing capability for module-level LIB state diagnosis remains a challenge. Herein, we developed a swellingbased module-applicable rapid TR detection system using sponge-type piezoresistive swelling sensor. The unique feature of the sensor with inter-layer contact under high compression facilitates practical swelling detection with its high sensitivity (3.90 kPa(- 1)), durability, outstanding stability, near-zero hysteresis, and a high sensing resolution (<10 mu m) even under pre-compression. Based on its excellent scalability, pouch cell-level, prismatic cell-level, and module-level reversible swelling monitoring of LIBs in constrained structures were successfully validated under various operating conditions, with the swelling signal exhibiting a strong correlation with the state of charge (SOC). Finally, on the basis of reaction mechanism of TR and the swelling sensor signal, the module-level early TR detection occurs 1357 s before explosion. These results imply reliable LIB monitoring systems with substantial practicality using swelling sensors for enhanced TR detection of large-capacity LIB applications. | - |
| dc.description.abstract | The early detection of thermal runaway (TR) and the accurate monitoring of the state of lithium-ion batteries (LIBs) are exceptionally critical in large-capacity applications. However, achieving both practicality and effective sensing capability for module-level LIB state diagnosis remains a challenge. Herein, we developed a swellingbased module-applicable rapid TR detection system using sponge-type piezoresistive swelling sensor. The unique feature of the sensor with inter-layer contact under high compression facilitates practical swelling detection with its high sensitivity (3.90 kPa− 1),, durability, outstanding stability, near-zero hysteresis, and a high sensing resolution (<10 μm) even under pre-compression. Based on its excellent scalability, pouch cell-level, prismatic cell-level, and module-level reversible swelling monitoring of LIBs in constrained structures were successfully validated under various operating conditions, with the swelling signal exhibiting a strong correlation with the state of charge (SOC). Finally, on the basis of reaction mechanism of TR and the swelling sensor signal, the module-level early TR detection occurs 1357 s before explosion. These results imply reliable LIB monitoring systems with substantial practicality using swelling sensors for enhanced TR detection of large-capacity LIB applications. | - |
| dc.format.extent | 13 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Elsevier | - |
| dc.title | Rapid thermal runaway detection of lithium-ion battery via swelling-based state-of-charge monitoring using piezoresistive sponge sensor | - |
| dc.type | Article | - |
| dc.publisher.location | 네델란드 | - |
| dc.identifier.doi | 10.1016/j.etran.2025.100404 | - |
| dc.identifier.scopusid | 2-s2.0-85218472529 | - |
| dc.identifier.wosid | 001435488600001 | - |
| dc.identifier.bibliographicCitation | eTransportation, v.24, pp 1 - 13 | - |
| dc.citation.title | eTransportation | - |
| dc.citation.volume | 24 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 13 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Energy & Fuels | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Transportation | - |
| dc.relation.journalWebOfScienceCategory | Energy & Fuels | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
| dc.relation.journalWebOfScienceCategory | Transportation Science & Technology | - |
| dc.subject.keywordPlus | PRESSURE SENSORS | - |
| dc.subject.keywordPlus | CATHODE MATERIALS | - |
| dc.subject.keywordPlus | HIGH-SENSITIVITY | - |
| dc.subject.keywordPlus | MECHANISM | - |
| dc.subject.keywordPlus | SAFETY | - |
| dc.subject.keywordPlus | RANGE | - |
| dc.subject.keywordPlus | OVERDISCHARGE | - |
| dc.subject.keywordPlus | TEMPERATURE | - |
| dc.subject.keywordPlus | PERFORMANCE | - |
| dc.subject.keywordPlus | BEHAVIOR | - |
| dc.subject.keywordAuthor | SOC monitoring | - |
| dc.subject.keywordAuthor | Piezoresistive sensor | - |
| dc.subject.keywordAuthor | Diagnosis | - |
| dc.subject.keywordAuthor | Thermal runaway | - |
| dc.subject.keywordAuthor | Early detection | - |
| dc.subject.keywordAuthor | Battery swelling | - |
| dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S2590116825000116?via%3Dihub | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1366
COPYRIGHT © 2024 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
