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시뮬레이션 기반 전기자동차 1회 충전 주행거리 예측 및 IONIQ5 시험 성능 기반 검증open accessPrediction of Driving Range of Electric Vehicle Based on Simulation: Focusing on the IONIQ5

Other Titles
Prediction of Driving Range of Electric Vehicle Based on Simulation: Focusing on the IONIQ5
Authors
Yeon, JehwiPark, DohyunLee, YunhoSung, HyeinLim, YunsungLee, Jong-TaeKim, Namwook
Issue Date
Apr-2023
Publisher
Korean Society of Automotive Engineers
Keywords
Battery equivalent circuit; Driving range; Electric vehicle; Parameter estimation; Performance analysis; Simulation-based analysis
Citation
Transactions of the Korean Society of Automotive Engineers, v.31, no.4, pp 275 - 282
Pages
8
Indexed
SCOPUS
KCI
Journal Title
Transactions of the Korean Society of Automotive Engineers
Volume
31
Number
4
Start Page
275
End Page
282
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/113128
DOI
10.7467/KSAE.2023.31.4.275
ISSN
1225-6382
2234-0149
Abstract
Electric 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.
Electric 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.
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ERICA 공학대학 (DEPARTMENT OF MECHANICAL ENGINEERING)
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