This thesis focused on the speed control of permanent magnet synchronous motor (PMSM) drive using fuzzy fractional order proportional integral derivative for electric vehicle (EV) application. EVs are an alternative solution to achieve high energy efficiency and utilization issues for transportation. PMSM are more and more applied in EV driving system for which it have significant advantages, such as high efficiency, small volume, light weight, high reliability and maintenance-free, satisfactory control characteristics and attracting the interest of EV industry. One of the best choices for applications of a full range of motion control, this type of motor drive is widely used in robotics, machine tools, and it is being considered in high power applications such as industrial drives and vehicular propulsion. And has the characteristics of uncertainty, non-linearity, time variant dynamics and inaccessible states and outputs impose too much difficulty to control them. Due to those characteristics, it is difficult to get the required control effect using the conventional control method. The fuzzy control has strong adaptability to the parameter change, non-linearity and imprecise model of the controlled object and used to realize the parameter of the fractional order proportional integral derivative (FOPID) controller. The controller is selected as the speed regulator of the motor. The control principle and the realization of space vector pulse width modulation are studied by using a field oriented control strategy. The simulation results demonstrated that the designed self-tuned FOPID controller realize a good dynamic behavior of the system, a perfect speed tracking and control coefficients ensures robustness against parameter variations and suddenly load disturbance while maintaining good dynamic performance with 0.0042 seconds rise time and 0.0847 seconds settling time, 3.88% overshoot, 0.0074 steady state error and give better performance compared to integer and fractional order PID controller. Key words: Electric Vehicle, Field Oriented Control, Fuzzy Fractional Order PMSM PID, Permanent Magnet Synchronous Motor.