Abstract: Brushless DC Motor (BLDCM) is being predominantly utilized in Electric Vehicles (EVs). BLDCM is easily affected by variations of parameter and disturbances because of its nonlinear nature. The tuning of parameters of typical PI controller is complicated to obtain enhanced response of BLDCM for EV applications. Hence, the typical PI controller is inadequate to regulate BLDCM. To vanquish this difficulty, a Fuzzy PI (FPI) controller is intended to regulate the speed of BLDCM. In general, Fuzzy Logic Controller (FLC) gives an improved speed response at the time of startup while the typical PI controller provides good response at steady state condition. In this study, the typical PI is combined with FLC to obtain a FPI controller with merits of both. Mathematical modeling of BLDCM with its controller is also explained. And also gives the study of various controllers like typical PI, FLC and FPI for BLDCM. To validate the control characteristics of the typical PI, FLC and FPI, simulations have been done in MATLAB/Simulink environment. Simulation results prove the superiority of the intended FPI for BLDC motors.