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Optimal hybrid drive system architecture exploration considering performance index of 48V mild hev

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dc.contributor.authorJi, Y.-
dc.contributor.authorPark, T.-
dc.contributor.authorLee, H.-
dc.date.accessioned2021-08-09T06:45:16Z-
dc.date.available2021-08-09T06:45:16Z-
dc.date.created2021-08-09-
dc.date.issued2019-09-18-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/84789-
dc.description.abstractThe 48V hybrid system has mostly adopted parallel hybrid system architecture. In the parallel hybrid system, various architecture can be derived depending on the location of the motor. In this paper, we explored a hybrid system architecture considering one or two motors and 48V electric supercharger and derived the optimal architecture by comparing the performance of each architecture. Performance of the hybrid system is mostly evaluated as fuel economy. However, since the hybrid system has increasingly been applied to various types of vehicles with different purpose of the operation, another performance index for evaluating a hybrid system is needed. Therefore, in this paper, we introduced an additional performance index to evaluate the hybrid electric drive system and used it to derive the optimal architecture of the hybrid electric drive system. We used Dynamic programming (DP) to evaluate each architecture and DP simulation was performed in the Matlab environment.-
dc.language영어-
dc.language.isoen-
dc.publisherDime University of Genoa-
dc.titleOptimal hybrid drive system architecture exploration considering performance index of 48V mild hev-
dc.typeConference-
dc.contributor.affiliatedAuthorLee, H.-
dc.identifier.scopusid2-s2.0-85074200944-
dc.identifier.bibliographicCitation18th International Conference on Modeling and Applied Simulation, MAS 2019, pp.28 - 37-
dc.relation.isPartOf18th International Conference on Modeling and Applied Simulation, MAS 2019-
dc.relation.isPartOf18th International Conference on Modeling and Applied Simulation, MAS 2019-
dc.citation.title18th International Conference on Modeling and Applied Simulation, MAS 2019-
dc.citation.startPage28-
dc.citation.endPage37-
dc.citation.conferencePlacePO-
dc.citation.conferencePlaceLisbon-
dc.citation.conferenceDate2019-09-18-
dc.type.rimsCONF-
dc.description.journalClass1-
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