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DC Field | Value | Language |
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dc.citation.endPage | 2666 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 2659 | - |
dc.citation.title | IEEE Transactions on Industrial Electronics | - |
dc.citation.volume | 68 | - |
dc.contributor.author | Lee, Changyong | - |
dc.contributor.author | Jo, Sugyeong | - |
dc.contributor.author | Kwon, Daeil | - |
dc.contributor.author | Pecht, Michael | - |
dc.date.accessioned | 2023-12-21T16:12:41Z | - |
dc.date.available | 2023-12-21T16:12:41Z | - |
dc.date.created | 2020-01-26 | - |
dc.date.issued | 2021-03 | - |
dc.description.abstract | Reliability testing on lithium-ion (Li-ion) batteries is critical to designing operational back-end strategies for developing portable electronics. In this article, we develop a capacity-fading behavior analysis for the early detection of unhealthy Li-ion batteries during reliability tests by comparing against the capacity-fading behaviors of healthy batteries from qualification. The developed approach uses a local outlier factor for measuring the anomaly scores of the capacity-fading behaviors of test batteries at a certain cycle, kernel density estimation for normalizing the range of anomaly scores over cycles, and a hidden Markov model for estimating the probability that the test batteries are at a certain state (i.e., healthy or unhealthy). Experimental results on Li-ion batteries used for portable consumer electronics confirm that the developed method outperforms previous approaches, reducing the required number of reliability tests for unhealthy batteries to 100 cycles, less than a month in practice. | - |
dc.identifier.bibliographicCitation | IEEE Transactions on Industrial Electronics , v.68, no.3, pp.2659 - 2666 | - |
dc.identifier.doi | 10.1109/TIE.2020.2972468 | - |
dc.identifier.issn | 0278-0046 | - |
dc.identifier.scopusid | 2-s2.0-85097353155 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/31896 | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/8998548 | - |
dc.identifier.wosid | 000594408000078 | - |
dc.language | 영어 | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Capacity-fading Behavior Analysis for Early Detection of Unhealthy Li-ion Batteries | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems; Engineering, Electrical & Electronic; Instruments & Instrumentation | - |
dc.relation.journalResearchArea | Automation & Control Systems; Engineering; Instruments & Instrumentation | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Lithium-ion batteries | - |
dc.subject.keywordAuthor | Reliability | - |
dc.subject.keywordAuthor | Battery charge measurement | - |
dc.subject.keywordAuthor | Hidden Markov models | - |
dc.subject.keywordAuthor | Anomaly detection | - |
dc.subject.keywordAuthor | Kernel | - |
dc.subject.keywordAuthor | Capacity-fading behavior analysis | - |
dc.subject.keywordAuthor | early detection | - |
dc.subject.keywordAuthor | qualification test | - |
dc.subject.keywordAuthor | unhealthy lithium-ion (Li-ion) battery | - |
dc.subject.keywordPlus | CHARGE ESTIMATION | - |
dc.subject.keywordPlus | STATE | - |
dc.subject.keywordPlus | PROGNOSTICS | - |
dc.subject.keywordPlus | MECHANISMS | - |
dc.subject.keywordPlus | PARAMETER | - |
dc.subject.keywordPlus | SYSTEMS | - |
dc.subject.keywordPlus | FILTER | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordPlus | FADE | - |
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