<p>The optimization of interior permanent magnet synchronous motors (IPMSMs) is inherently challenging because of the complex interplay between parameters and the difficulty of balancing multiple performance objectives. In this paper, a multi-objective of IPMSM optimization method is proposed to achieve a comprehensive performance improvement. Initially, the optimization objectives and parameters are theoretically analyzed. A sensitivity analysis is then performed to identify the highly correlated parameters. The impacts of these parameters on the objectives are further investigated via a response surface methodology. The functional relationships between the objectives and parameters are subsequently fitted via the least-squares method and their accuracy is subsequently assessed via evaluation indices. Furthermore, the relationships between multiple targets are revealed via the Pearson correlation coefficient and a comprehensive performance index function is established by introducing weight coefficients, enabling the normalization of the multi-objective optimization process. Finally, the simulated annealing algorithm (SAA) is employed to extract the optimal solution. The results indicate that the torque ripple is significantly reduced while ensuring a higher torque output. Additionally, working harmonic content and efficiency improvements are observed, confirming the effectiveness of the proposed optimization approach.</p>