Design and Multi-objective optimisation of the axial flux machine

This thesis presents a comprehensive approach to the design and multi-objective optimisation of double-stator axial flux permanent magnet machines. Starting with the vehicle’s specifications and the given driving cycles, the electric motor’s requisite parameters are derived and the operating point that represents the region of highest energy consumption, defined as centroid, is identified. Subsequently, an analytical designed process is performed, considering the requirements of the drive cycle analysis. This stage facilitates the determination of parameters which are then used to model three different motors, each defined by unique combinations of slots and poles, within a Quasi-3D FEA software. The performance of these machines is verified to ensure compliance with the torque and power demands of the mission profiles. Finally, a multi-objective optimisation process was executed via the genetic algorithm in conjunction with the Quasi-3D FEA software with the aim of obtaining motors that have characteristic curves capable of covering all operating points and exhibit higher efficiency at the centroid to further reduce the total energy consumption throughout the entire driving cycles.