Efficiency Improvement of SPMSG in the Engine-Generator System of a PHEV Shown to be Compatible with an Optimal Operating Line

This paper presents a numerical optimization scheme of a surface permanent magnet synchronous generator (SPMSG) for achieving maximum efficiency. The generator and engine are linked and the optimal operating line is identified. A genetic algorithm is combined with a mesh adaptive direct search to create an intelligent memetic algorithm used to find the maximum efficiency distribution of SPMSG compatible to the OOL. The proposed optimization scheme includes both electrical and mechanical losses. Efficiency accuracy is confirmed by the resultant efficiency map. A prototype based on an optimized model is experimentally validated and shown to be well-suited for an EGS of a PHEV.