Abstract:
Electric vehicle (EV) modeling has advanced to previously unheard-of levels of precision and
sophistication in 2023 thanks to developments in simulation software, computing capacity, and the growing need for environmentally friendly transportation options. The state-of-the-art methods for EV modeling are examined in this work, with a particular emphasis on battery performance, powertrain efficiency, and dynamic vehicle behavior. This work presents a timedomain modeling and simulation framework for the Tesla Model Y's powertrain, aiming to enhance EV performance through precise simulation models. Key parameters such as mass, drag coefficient, rolling resistance, and wheel radius are integrated into MATLAB/Simulink. Proportional-Integral-Derivative (PID) controllers regulate motor current and vehicle speed, optimizing performance. The study explores variable battery sizing configurations, analyzing their impact on weight, internal resistance, acceleration, and efficiency. Results identify an optimal battery configuration, improving the balance between acceleration and power loss. This research contributes to advancing EV technology and sustainable transportation solutions.
Description:
Supervised by
Mr. Quazi Nafees-Ul-Islam,
Assistant Professor.
Department of Electrical and Electronic Engineering (EEE)
Islamic University of Technology (IUT)
Board Bazar, Gazipur, Bangladesh
This thesis is submitted in partial fulfillment of the requirement for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2024
