Abstract
This study addresses an optimisation method for interior permanent magnet synchronous generators (IPMSGs) to improve the efficiency of the electric power generating system of a range-extended electric vehicle. The target operating point of the IPMSG is specified with an optimal operating line (OOL) of the newly developed two-cylinder engine. The performance and efficiency of the IPMSG throughout the OOL are numerically identified in association with finite element analysis (FEA). For optimal design, intelligent mesh adaptive direct search with clustering and elastic net, which has been validated as a global searching optimisation algorithm with fast convergence on electric machines, is applied for IPMSG to maximise efficiency based on FEA. Furthermore, the optimised prototype is experimentally validated via the resultant efficiency map built up by the static and dynamic dynamometer tests.
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