Permanent magnet motors often face challenges from highly dynamic operating conditions, with frequent torque/speed variations under changing load demands. To enhance the multi-operating-point efficiency of permanent magnet synchronous motors (PMSMs), this paper proposes a novel operating condition equivalence method based on DBSCAN and K-Means clustering algorithms. This approach rationally simplifies complex operating profiles by extracting representative operating points. Using the weighted total losses of equivalent operating points as the optimization objective, the Taguchi method is employed to conduct sensitivity analysis on key design parameters including stator outer/inner diameter, slot depth, permanent magnet thickness, and pole arc coefficient. The optimized design is validated through finite element analysis (FEA). Simulation results demonstrate that the proposed methodology effectively improves the motor’s comprehensive efficiency by 3.8% across operating points and reduces energy consumption by 15.2%. This research provides significant theoretical and methodological support for energy conservation and emission reduction in multi-operating-point PMSMs.