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International Journal of Automotive Technology > Volume 23(6); 2022 > Article
International Journal of Automotive Technology 2022;23(6): 1529-1536.
doi: https://doi.org/10.1007/s12239-022-0133-8
Jingeun Song 1, Junepyo Cha 2, Mingi Choi 3
1School of Automotive Engineering, Kyungpook National University
2Department of Automotive Engineering, Korea National University of Transportation
3School of Mechanical and Automotive Engineering, Hanyang Cyber University
PDF Links Corresponding Author.  Mingi Choi  , Email. mgchoi@hycu.ac.kr
This paper is a study on energy efficiency prediction model of heavy-duty electric vehicles using numerical simulation. Because the current energy consumption efficiency evaluation method for electric vehicles has limitations in terms of manpower, resources, and time required, therefore a simulation model development to predict electric vehicle energy consumption efficiency is needed. Furthermore, research on heavy-duty electric vehicles is relatively insufficient compared to light-duty electric vehicles, and the need of research on heavy-duty electric vehicles is increasing. Therefore, this study develops an energy efficiency prediction model for heavy-duty electric vehicles and verifies it with the experimental results. Based on this, the applicability of the simulation method using the developed prediction model to the current energy efficiency evaluation management system for heavy-duty electric vehicles was reviewed. To verify the accuracy of the simulation model, the dynamometer test results were compared to simulation results, and the UDS protocol was used to acquire internal data for heavy-duty electric vehicles. Reliability of simulation model was secured by comparing data such as motor speed, battery voltage/current, state of charge and total driving distance of the test vehicles with data from the dynamometer experiment and the simulation model.
Key Words: Heavy-duty electric vehicles, Energy efficiency, Numerical simulation, Multi cycle test, State of charge
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