Multi-objective Optimization of Claw-pole Transverse Flux Permanent Magnet Generator

Hybrid electric systems in aviation and automotive applications call for generators with high power density, high power capacity, and strong fault tolerance. To enhance power density and suppress torque ripple, the collaborative optimization design of a transverse flux claw-pole permanent magnet generator is conducted. A comprehensive parameter sensitivity analysis method integrating the Morris method, Pearson correlation coefficient, and standardized regression coefficient is proposed to accurately identify key design variables, reduce simulation computational cost, and achieve a balance between optimization efficiency and accuracy. On this basis, multi-objective optimization of the generator is performed using the Taguchi method. Optimization results show that output power is increased by 40.4%, while torque ripple is reduced by 31.8%. Findings demonstrate that the combination of the proposed comprehensive sensitivity analysis method and the Taguchi optimization approach effectively improves the overall performance of the transverse flux claw-pole permanent magnet generator.