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http://dx.doi.org/10.15435/JILASSKR.2022.27.3.155

Development of a Simulation Model based on CAN Data for Small Electric Vehicle  

Lee, Hongjin (한국교통대학교 자동차공학과)
Cha, Junepyo (한국교통대학교 자동차공학과)
Publication Information
Journal of ILASS-Korea / v.27, no.3, 2022 , pp. 155-160 More about this Journal
Abstract
Recently, major developed countries have strengthened automobile fuel efficiency regulations and carbon dioxide emission allowance standards to curb climate change caused by global warming worldwide. Accordingly, research and manufacturing on electric vehicles that do not emit pollutants during actual driving on the road are being conducted. Several automobile companies are producing and testing electric vehicles to commercialize them, but it takes a lot of manpower and time to test and evaluate mass-produced electric vehicles with driving mileage of more than 300km on a per-charge. Therefore, in order to reduce this, a simulation model was developed in this study. This study used vehicle information and MCT speed profile of small electric vehicle as basic data. It was developed by applying Simulink, which models the system in a block diagram method using MATLAB software. Based on the vehicle dynamics, the simulation model consisted of major components of electric vehicles such as motor, battery, wheel/tire, brake, and acceleration. Through the development model, the amount of change in battery SOC and the mileage during driving were calculated. For verification, battery SOC data and vehicle speed data were compared and analyzed using CAN communication during the chassis dynamometer test. In addition, the reliability of the simulation model was confirmed through an analysis of the correlation between the result data and the data acquired through CAN communication.
Keywords
Controller area network; State of charge; Small electric vehicle; Multi-cycle test; Block diagram;
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