DefinePK

Abstract

This paper studies one of the significant parameters for electric vehicle (EV) performance under varying load conditions affected by real terrains.  The work combines analytical models with on-ground testing, using a student-fabricated EV model to measure the effects of road conditions on torque-speed balance and total motor efficiency.  Using a mechanical tachometer to measure rotating speed and MATLAB for data analysis, a brushless direct current (BLDC) motor was tested under increasing mechanical loads. Results show an inverse relationship between load and rotational speed. The gap between hypothetical simulations and real-life results emphasizes on the necessity for practical testing techniques. The research provides open-access datasets and an affordable method that promotes the design of energy-efficient motors that can handle variable load situations. This research promotes to improve electric vehicle technology, motor stability and overall optimisation of vehicle performance under various driving conditions.