A Computationally Efficiency Optimal Design for a Permanent Magnet Synchronous Motor in Hybrid Electric Vehicles

This study proposes a new approach of optimal design for a permanent magnet synchronous motor (PMSM) used in hybrid electric vehicles (HEVs). It aims to address the key research questions how to find a deterministic solution to achieve high motor efficiency against a given driving cycle. A one-dimensional analytical model is, firstly, built and served to present the PMSM dynamic characteristics and energy efficiency. Then, by analyzing the energy distribution of the driving cycle, the motor energy efficiency over this cycle is characterized by representative points, which dramatically reduces the computation time required for the optimal design. Leveraging by these points, the multi-island genetic algorithm is developed to return and characterize the optimal design of the PMSM in the studied scenario benefiting in the energy-loss reduction. The utility of the design methodology over the whole driving cycle has been illustrated and verified with an HEV dynamics model.