Synchronous reluctance motor design for electric vehicles

In this thesis, a synchronous reluctance motor (SynRM) has been designed to be used as a traction motor in new generation electric vehicles. Two-stage optimization technique has been used in the design. The specifications of the electric motor in new generation electric vehicles have been determined and then stator and rotor parameters of SynRM have been optimized to meet these specifications. Genetic algorithm and sensitivity analysis methods have been used to obtain the best design parameters of SynRM. Design and analyses have been carried out using the finite element method with the Ansys Maxwell package program. In the first stage, the stator and rotor parameters have been optimized using a genetic algorithm to improve output values of SynRM such as torque and torque ripple. In the second stage, the skew technique has been applied to the stator of SynRM. The effect of stator skew angle on the performance of SynRM has been investigated with sensitivity analysis. The best parameters obtained according to the genetic algorithm and sensitivity analysis results have been used in the design of SynRM. The performance of the SynRM has been simulated in the Ansys Maxwell package program using the Machine Toolkit plugin package. Optimizations have improved torque, torque ripple, and efficiency of SynRM. Therefore, the designed SynRM can produces torque of 470 Nm and power of 285 kW. When the simulation results are examined, it has seen that the designed SynRM produces high torque and high power with high efficiency in a wide speed range such as 10.000 rpm.