In this study, Switched Reluctance Motor (SRM), Induction Motor (IM), Brushless DC Motor, and Permanent Magnet Motor (PM), and their drives have been compared with the efficiency, cost, weight, cooling, maximum speed, reliability, fault tolerance, power ratings, and vehicle acceleration time. Hence, a comprehensive literature research on motor types and their drives used in EV has been made. According to these researches, some conclusions have been obtained. It has been seen that PM BLDC motors and their drives are the most efficient and have high power density, brushless DC motors and their drives have low cost, IM is appropriate for controllability and cost, the weight of SRM is low, its reliability is high, it operates fault-tolerance and according to the acceleration time, its performance is better than IM and BLDC. Hence, SRM is the most appropriate motor for EV.

Switched Reluctance Motors (SRMs) are widely used as they have extremely simple structure and installation. In SRM, torque, efficiency, amount of torque in unit volume, radial forces depend on motor dimension parameters and it is an important part of motor design. In this study, an ant colony optimization technique was used to determine the optimal motor design parameters of the ISRM. Motor dimension parameters are determined as an optimization problem to maximize average torque and efficiency. In order to calculate the torque and efficiency values, a comprehensive program based on analytical models was developed in Matlab, taking into account the non-linearity of the motor. The optimization process was tested in a 18/12 pole, 3-phase, in ISRM. The determined parameters have reached optimum value, and the torque and efficiency have been maximized. The accuracy of the optimization has been verified with the Maxwell package program.

In recent years, interest in electric vehicles has been increasing. The most important reasons are environmental pollution caused by the density of cars in the settlement centers, the decrease in fossil fuels, the world's shortage of energy resources, advances in efficient and cost-effective electric motor and drive technology, developments in batteries that provide storage of electrical energy and driving safety come to the forefront. One of the most important factors that provide energy efficiency in electric vehicles is the motor. The axial flux permanent magnet synchronous motor, which is a dominant magnet in the field of electrical machinery in recent years, has many advantages over other types of motors. In this study, design equations of axial flux double rotor permanent magnet synchronous motor (TORUS Type) were obtained and optimization of the motor with a genetic algorithm was realized.

Estimation of dimension parameters for an electrical machine has great importance before manufacturing. For this reason, analytical design should be performed in an optimum form. While motor analysis is accomplished by package programs, initial size parameters are intutivily provided and then various trials are examined to get optimum results. In this study, we are trying to find dimensional and electrical parameters generating mathematical equations in analytic approaches for In-Wheel Switched Reluctance Motor (IW-SRM), which will be employed by Electric Vehicle (EV). Therefore, optimum motor parameters for required speed and torque have been estimated by solving generated equations for in-wheel SRM with 18/12 poles via MATLAB. Using the parameters, analysis of in-wheel SRM has been carried out 3D Finite Element Method (FEM) by Ansoft Maxwell 15.0 Package Software. Consequently, the accuracy of the estimated parameters has been validated by the results of Maxwell 3D FEM.