A Geometry-Based Method for Automatic Estimation of Winding Turns in EV Component Motors

Electric vehicle (EV) component motors are typically powered by a 12V low-voltage supply, requiring high current operation to deliver sufficient torque and output. Under such conditions, the number of winding turns critically influences key electrical parameters such as back electromotive force (EMF), inductance, and resistance. In particular, current-dominant environments make the system more sensitive to the number of turns. However, most motor design and analysis workflows still rely on manually specified turn counts, limiting both analytical precision and design automation. This study proposes a geometry-based algorithm for automatically estimating the number of winding turns using stator parameters. The method incorporates geometric features such as coil diameter, insulation thickness, and slot shape to enable accurate prediction of winding arrangement. Simulation results demonstrate strong agreement with actual winding configurations and show superior performance compared to conventional approaches in terms of computational efficiency and structural feasibility. These results are expected to support automated motor design workflows and improve the accuracy of electromagnetic performance evaluation.