Cloud Based Permanent Magnet Motor Design for Specific Trajectory Electric Vehicle

This work proposes a motor design methodology implemented in a Surface Mounted Permanent Magnet Motor case for a particular trajectory urban concept electric vehicle. It enables the generation of motor configuration clouds, populated by geometries produced by a parametric design algorithm. The methodology proposed consists of both analytical models and minimized finite element analysis, resulting in reduced computational time and densely populated cloud of motors. Motor structures are generated based on the vehicle's torque and speed specifications and are evaluated with respect to their resulting mass and efficiency, as well as their performance characteristics. The finally proposed powertrain emerges from a comparative study considering two gear ratios (1:1 and 3:1), based on the estimated vehicle energy consumption.