Energy Storage and Conversion 2026, 4(3), 4688.

As more battery electric vehicles (BEVs) are being introduced, the need for accurate traction motor sizing to achieve optimal performance, energy efficiency, driving range, and cost-effectiveness becomes increasingly critical. This study aims to develop a comparative MATLAB/Simulink framework specifically tailored for drive-cycle-based traction motor sizing in battery electric four-wheelers. The methodology involves simulating various driving cycles to assess the performance and efficiency of different traction motors under typical operating conditions. Results demonstrate that the proposed framework enables users to visualize the impact of different drive cycles on motor performance, facilitating informed decisions during the motor selection process for battery electric vehicles. The findings reveal significant differences in efficiency and performance metrics across various motor configurations, underscoring the importance of precise sizing in enhancing overall vehicle performance. This work contributes to the field of electric vehicle technology by providing a systematic approach for the sizing of traction motors, ultimately aiming to optimize the design and functionality of battery electric vehicles.