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, Jehwi; Park, Dohyun; Lee, Yunho; Sung, Hyein; Lim, Yunsung; Lee, Jong-Tae; Kim, 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.
- Files in This Item
-
Go to Link
- Appears in
Collections - COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF MECHANICAL ENGINEERING > 1. Journal Articles

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