Bi-criteria optimization design of an interior permanent magnet synchronous machine for a hybrid electric vehicle application

The main focus of this study is to provide a new calculation method of power losses in electrical machine, including copper losses and iron losses at load. This calculation is applied not only for an operating point of the machine but also for thousands of operating points during a driving cycle for a hybrid electric vehicle (HEV) application. The calculation is made taking into account flux-weakening, magnetic material non-linearity and losses at-load. Therefore, we have proposed a design approach using Non-dominated Sorting Genetic Algorithm, version II (NSGA-II). This approach respects two criteria namely the minimization of average losses during the cycle and the minimization of the RMS current at the rated point. The result is represented by a Pareto curve.