Torque Ripple Reduction of V-Type IPMSM Based on Auxiliary Flux Barrier

A multi-objective optimization framework integrating an auxiliary flux barrier and a composite surrogate model is developed to reduce torque ripple in interior permanent magnet synchronous motor (IPMSM). An analytical torque model is derived from magnetic circuit analysis, and key design principles for torque ripple suppression are established. A V-type rotor with auxiliary flux barriers is constructed. Sensitivity analysis reduces the design space, while a hybrid surrogate model combining response surface methodology (RSM) and radial basis function (RBF) neural networks efficiently approximates the motor nonlinear behavior. The NSGA-II algorithm is applied to optimize average torque, torque ripple, and iron loss simultaneously. Results show the proposed barrier design significantly reduces torque ripple and iron loss. Compared to the segmented skewed rotor scheme, it achieves similar torque ripple suppression with lower iron loss and better manufacturability. The surrogate-based approach also greatly reduces computational time compared with conventional finite element analysis.