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실시간 교통정보를 활용한 전기자동차의 에너지 소비 예측 모델 개발

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dc.contributor.author이승연-
dc.contributor.author지용혁-
dc.contributor.author이형철-
dc.date.accessioned2023-08-07T07:40:52Z-
dc.date.available2023-08-07T07:40:52Z-
dc.date.created2023-07-21-
dc.date.issued2022-06-
dc.identifier.issn2713-7163-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/188863-
dc.description.abstractIn this paper, energy consumption estimation algorithm for battery electric vehicle was developed. Energy consumption model is developed by using longitudinal vehicle dynamics model and regenerative braking algorithm was implemented for considering battery charging by regenerative braking. Driving profile was generated by using real-time traffic information provided by Seoul Transport Operation & Information Service for improve energy consumption estimation result. DHIL environment created with HIL simulator and driving wheel. For verifying estimation result of proposed algorithm, estimation result was compared with MIL and DHIL simulation result.-
dc.language한국어-
dc.language.isoko-
dc.publisher한국자동차공학회-
dc.title실시간 교통정보를 활용한 전기자동차의 에너지 소비 예측 모델 개발-
dc.title.alternativeEnergy Consumption Estimation Algorithm of BEV Using Real-Time Traffic Information-
dc.typeArticle-
dc.contributor.affiliatedAuthor이형철-
dc.identifier.bibliographicCitation2022 한국자동차공학회 춘계학술대회, pp.914 - 921-
dc.relation.isPartOf2022 한국자동차공학회 춘계학술대회-
dc.citation.title2022 한국자동차공학회 춘계학술대회-
dc.citation.startPage914-
dc.citation.endPage921-
dc.type.rimsART-
dc.type.docTypeProceeding-
dc.description.journalClass2-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.subject.keywordAuthorBattery Electric Vehicle(전기자동차)-
dc.subject.keywordAuthorEnergy Consumption(에너지소비)-
dc.subject.keywordAuthorTraffic Information(소통정보)-
dc.subject.keywordAuthorVehicle Dynamics(차량동역학)-
dc.subject.keywordAuthorVehicle Simulation(차량 시뮬레이션)-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11103086-
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서울 공과대학 > 서울 전기공학전공 > 1. Journal Articles

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