Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

시뮬레이션 기반 전기자동차 1회 충전 주행거리 예측 및 IONIQ5 시험 성능 기반 검증

Full metadata record
DC Field Value Language
dc.contributor.authorYeon, Jehwi-
dc.contributor.authorPark, Dohyun-
dc.contributor.authorLee, Yunho-
dc.contributor.authorSung, Hyein-
dc.contributor.authorLim, Yunsung-
dc.contributor.authorLee, Jong-Tae-
dc.contributor.authorKim, Namwook-
dc.date.accessioned2023-07-05T05:39:33Z-
dc.date.available2023-07-05T05:39:33Z-
dc.date.issued2023-04-
dc.identifier.issn1225-6382-
dc.identifier.issn2234-0149-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/113128-
dc.description.abstractElectric vehicles are gaining attention as eco-friendly vehicles because they do not generate exhaust gas the tailpipe. Recently, technology related to electric vehicles has been rapidly developing with the advances in battery and motor performance. As the number of electric vehicles released in the market continues to increase, government-affiliated institutions are requiring technology to predict the driving range of electric vehicles based on simulation to perform certification tasks efficiently. This study covers the simulated driving range of electric vehicles. We have shown an estimation of battery and motor parameters based on the MCT test data and detailed modeling of electric vehicles was conducted. We will verify the test results and simulation results using the MCT test data of Hyundai Motor’s IONIQ5. Copyright © 2023 KSAE.-
dc.description.abstractElectric vehicles are gaining attention as eco-friendly vehicles because they do not generate exhaust gas the tailpipe. Recently, technology related to electric vehicles has been rapidly developing with the advances in battery and motor performance. As the number of electric vehicles released in the market continues to increase, government-affiliated institutions are requiring technology to predict the driving range of electric vehicles based on simulation to perform certification tasks efficiently. This study covers the simulated driving range of electric vehicles. We have shown an estimation of battery and motor parameters based on the MCT test data and detailed modeling of electric vehicles was conducted. We will verify the test results and simulation results using the MCT test data of Hyundai Motor’s IONIQ5. Copyright © 2023 KSAE.-
dc.format.extent8-
dc.language한국어-
dc.language.isoKOR-
dc.publisherKorean Society of Automotive Engineers-
dc.title시뮬레이션 기반 전기자동차 1회 충전 주행거리 예측 및 IONIQ5 시험 성능 기반 검증-
dc.title.alternativePrediction of Driving Range of Electric Vehicle Based on Simulation: Focusing on the IONIQ5-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.7467/KSAE.2023.31.4.275-
dc.identifier.scopusid2-s2.0-85159284230-
dc.identifier.bibliographicCitationTransactions of the Korean Society of Automotive Engineers, v.31, no.4, pp 275 - 282-
dc.citation.titleTransactions of the Korean Society of Automotive Engineers-
dc.citation.volume31-
dc.citation.number4-
dc.citation.startPage275-
dc.citation.endPage282-
dc.type.docTypeArticle-
dc.identifier.kciidART002946487-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorBattery equivalent circuit-
dc.subject.keywordAuthorDriving range-
dc.subject.keywordAuthorElectric vehicle-
dc.subject.keywordAuthorParameter estimation-
dc.subject.keywordAuthorPerformance analysis-
dc.subject.keywordAuthorSimulation-based analysis-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11232102-
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF MECHANICAL ENGINEERING > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Nam wook photo

Kim, Nam wook
ERICA 공학대학 (DEPARTMENT OF MECHANICAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE