A research on E-NVH performance comprehensive optimization of IPMSM for EV based on NSGA-Ⅲ

Electromagnetic performance, noise, vibration and harshness (E-NVH) are very important considerations in the design of interior permanent magnet synchronous motor (IPMSM) for electric vehicles (EV). To promote the E-NVH performance of IPMSM, a novel multi-objective optimization methodology incorporating rotor auxiliary slots for targeted suppression of harmonic electromagnetic forces (EMF) is proposed in this paper. The dominant space-time harmonic orders of EMF that demonstrate significant suppression effects on E-NVH performance are identified theoretically. The Pareto-optimal solution for auxiliary slot geometry parameters is derived through a parametric optimization methodology utilizing the third-generation nondominated sorting genetic algorithm (NSGA-III). As validated through finite element analysis (FEA) simulations, the optimized IPMSM configuration demonstrates a 45.14% improvement in E-NVH performance compared to the prototype.