There are no files associated with this item.
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 445 | - |
dc.citation.startPage | 438 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | - |
dc.citation.volume | 107 | - |
dc.contributor.author | Saxena, Saurabh | - |
dc.contributor.author | Kwon, Daeil | - |
dc.contributor.author | Pecht, Michael | - |
dc.contributor.author | Xing, Yinjiao | - |
dc.date.accessioned | 2023-12-21T19:11:55Z | - |
dc.date.available | 2023-12-21T19:11:55Z | - |
dc.date.created | 2018-12-03 | - |
dc.date.issued | 2019-05 | - |
dc.description.abstract | As Li-ion batteries are used in increasingly diverse applications, their performance and reliability become more critical. Reliability testing of Li-ion batteries involves battery capacity fade monitoring over repeated charging/discharging cycles. Cycling at a nominal charge/discharge current requires an extensive amount of time and resources, and hence a battery qualification process based on battery cycle testing may cause delays in time to market. Discharge C-rate variable can be used for accelerating Li-ion battery cycle testing. This paper develops an accelerated capacity fade model for Li-ion batteries under multiple C-rate loading conditions, to translate the performance and degradation of a battery population at accelerated C-rate conditions to normal C-rate conditions. A nonlinear mixed-effects regression modeling technique is used to take into account the variability of repeated capacity measurements on individual batteries in a population. The model is validated using the experimental data from two battery populations that have been fielded. | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, v.107, pp.438 - 445 | - |
dc.identifier.doi | 10.1016/j.ijepes.2018.12.016 | - |
dc.identifier.issn | 0142-0615 | - |
dc.identifier.scopusid | 2-s2.0-85058164857 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/25419 | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0142061518301212?via%3Dihub | - |
dc.identifier.wosid | 000458221700041 | - |
dc.language | 영어 | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.title | Accelerated Degradation Model for C-rate Loading of Lithium-ion Batteries | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalResearchArea | Engineering | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Lithium-ion battery | - |
dc.subject.keywordAuthor | C-rate | - |
dc.subject.keywordAuthor | Accelerated testing | - |
dc.subject.keywordAuthor | Reliability | - |
dc.subject.keywordAuthor | Degradation modeling | - |
dc.subject.keywordAuthor | Mixed-effects regression | - |
dc.subject.keywordPlus | AGING MECHANISMS | - |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Tel : 052-217-1404 / Email : scholarworks@unist.ac.kr
Copyright (c) 2023 by UNIST LIBRARY. All rights reserved.
ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.