Design optimization of permanent magnet synchronous motors for HEV and EV
CHALLENGE - CO2 emissions must be reduced to prevent global warming. Electrification contributes to CO2 emission reductions, specifically in electric vehicles. Having dispersed operating points, the challenge presented here is the design of fuel economy optimized HEV and EV motors.
SOLUTION - In this study, a design search method for fuel economy optimization has been developed for the initial design stage of motors for HEVs and EVs. This method enables automatic searches for motor dimensions that will optimize fuel economy, requiring fewer design man-hours than the conventional method. The optimization process regarding fuel economy and weight optimization was conducted in modeFRONTIER using 7 design variable parameters and genetic algorithm MOGA-II. Searches were made to find minimum loss design.
BENEFITS - As a result of accuracy validation, the proposed method using modeFRONTIER was found to be sufficient for use in the initial motor design stage. When applied to a search for fuel-economy optimization design, this method produced design options based on criteria of weight and fuel economy. Thus the proposed method adds a new value to design environment of motors for HEVs and EVs.