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Design optimization of lithium-ion battery using hybrid electric vehicle simulation model

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dc.contributor.authorKim, J.-
dc.contributor.authorKim, S.-
dc.contributor.authorKim, S.-
dc.contributor.authorLim, W.-
dc.contributor.authorJang, J.-
dc.contributor.authorKim, Y.-
dc.contributor.authorYang, W.-
dc.contributor.authorLee, Tae Hee-
dc.date.accessioned2022-07-16T01:11:56Z-
dc.date.available2022-07-16T01:11:56Z-
dc.date.created2021-05-13-
dc.date.issued2015-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/158280-
dc.description.abstractAs electric vehicle (EV) and hybrid electric vehicle (HEV) have been developed, the importance of research and development of lithium-ion battery is on the rise in automobile industry. However, the design method for lithium-ion battery using physical experiment requires expensive cost and much time. Therefore, computational simulation of the battery was introduced to reduce the cost and development-time. In this paper, optimum design of the battery is suggested by using optimization techniques and HEV lithium-ion simulation. We carry out analysis of variance to select the important parameters as design variables. By using these design variables, we build kriging surrogate model for total energy of the battery and define the optimization problem. Finally, we perform the optimization to obtain the maximum energy of lithium-ion battery within mass constraint.-
dc.language영어-
dc.language.isoen-
dc.publisherKorean Society of Automotive Engineers-
dc.titleDesign optimization of lithium-ion battery using hybrid electric vehicle simulation model-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Tae Hee-
dc.identifier.scopusid2-s2.0-84962839115-
dc.identifier.bibliographicCitation28th International Electric Vehicle Symposium and Exhibition 2015, EVS 2015-
dc.relation.isPartOf28th International Electric Vehicle Symposium and Exhibition 2015, EVS 2015-
dc.citation.title28th International Electric Vehicle Symposium and Exhibition 2015, EVS 2015-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusAnalysis of variance (ANOVA)-
dc.subject.keywordPlusAutomotive industry-
dc.subject.keywordPlusDesign-
dc.subject.keywordPlusElectric batteries-
dc.subject.keywordPlusHybrid vehicles-
dc.subject.keywordPlusInterpolation-
dc.subject.keywordPlusIons-
dc.subject.keywordPlusLithium-
dc.subject.keywordPlusLithium alloys-
dc.subject.keywordPlusOptimization-
dc.subject.keywordPlusSecondary batteries-
dc.subject.keywordPlusVehicles-
dc.subject.keywordPlusComputational simulation-
dc.subject.keywordPlusDesign optimization-
dc.subject.keywordPlusKriging surrogate model-
dc.subject.keywordPlusOptimization problems-
dc.subject.keywordPlusOptimization techniques-
dc.subject.keywordPlusPhysical experiments-
dc.subject.keywordPlusResearch and development-
dc.subject.keywordPlusSimulation model-
dc.subject.keywordPlusLithium-ion batteries-
dc.subject.keywordAuthorAnalysis of variance-
dc.subject.keywordAuthorDesign optimization-
dc.subject.keywordAuthorHybrid electric vehicles-
dc.subject.keywordAuthorKriging surrogate model-
dc.subject.keywordAuthorLithium-ion battery-
dc.subject.keywordAuthorSimulation model-
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서울 공과대학 > 서울 미래자동차공학과 > 1. Journal Articles

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