수치해석을 활용한 대형 전기상용차의 에너지효율 예측에 관한 연구 = Energy Efficiency Prediction for Heavy-Duty Electric Vehicles Based on Numerical Analysis

다국어 초록 (Multilingual Abstract)

This study investigates an energy efficiency prediction model for heavy-duty electric vehicles using numerical analysis. The current evaluation methods for electric vehicle energy consumption efficiency have limitations in terms of manpower, resources, and required testing time. Therefore, developing a simulation-based prediction model is essential for improving evaluation efficiency. In addition, research on heavy-duty electric vehicles remains insufficient compared to studies on light-duty EVs, highlighting the growing need for dedicated investigation in this area. Accordingly, this study develops an energy-efficiency prediction model for heavy-duty electric vehicles and validates it using experimental results. Furthermore, the applicability of the proposed simulation-based evaluation method to existing energy efficiency management systems for heavy-duty electric vehicles is examined. To verify the accuracy of the simulation model, its outputs were compared with dynamometer test results. Internal vehicle data such as motor speed, battery voltage and current, state of charge (SOC), and total driving distance were collected using the UDS protocol and used for model validation. The reliability of the proposed model was ensured by comparing these measured parameters with both the dynamometer data and the corresponding simulation results.