Ali Özdil
This paper presents the design and multiobjective optimization of a 15-kW, 1500-rpm, 400-V V-type interior permanent magnet (IPM) machine employing SmCo24 magnets for high-efficiency industrial drive applications. Conventional IPM design studies often rely on sequential parameter tuning, which cannot adequately capture the nonlinear coupling among geometric variables. The novelty of this work lies in employing SmCo24 magnets as a lower-cost alternative to NdFeB magnets while integrating sensitivity analysis (SA), design of experiments (DoE), and response surface methodology (RSM) into a unified data-driven optimization framework. An optimal space-filling sampling strategy is used to generate representative design points, and two-dimensional finite-element analysis evaluates the electromagnetic performance. Sensitivity analysis identifies magnet width, slot geometry, and rotor rib parameters as the dominant factors affecting torque, copper loss, and torque ripple. The response surfaces reveal a narrow feasible region balancing these competing objectives. Compared with the initial design, the optimized machine maintains the target torque (~95 Nm) while reducing phase current by 63.1% and total losses by 80.6%, improving the power factor from 0.402 to 0.968, and decreasing torque ripple by 20.5%, increasing efficiency from 85.08% to 96.72%. These results demonstrate that SmCo-based V-type IPM machines combined with systematic data-driven optimization can achieve high efficiency and improved torque quality at reduced magnet cost.