Design Optimization of a 12/10 Switched Reluctance Motor Considering Target Driving Cycle and Driving Condition

This article presents a novel multiobjective optimization method to enhance the performance of a 12/10 stator/rotor switched reluctance motor (SRM), considering the target driving cycle and driving condition. First, the multiobjective optimization problem with the target driving cycles, defined by US Environmental Protection Agency (EPA), is defined. Second, the operation points of the drive cycle are divided into different driving conditions, and the two-step clustering algorithm is exploited to find the cluster centroids as representative operation points of each driving condition. Finally, the optimization is performed for both the motor level and control level. The motor level optimization is performed based on those representative operation points, and the dimension reduction optimization method (DROM) is utilized to reduce the computational burden. The optimal solution can be chosen from the Pareto front through gray relation analysis (GRAs) and the order preference by similarity to the ideal solution (TOPSIS). After motor level optimization, the control level optimization is conducted and the result is discussed. A 12/10 SRM drive system is investigated to verify the effectiveness of the proposed method, and the finite element models (FEMs) are verified by the experiment results. From this discussion, it can be found that the optimized motor exhibits high efficiency and low torque ripple for the target driving cycle.