A thorough understanding of the CVT’s movable sheave actuation based on vehicle dynamics under various load and driving conditions has been used to develop intelligent EMA-CVT. The real CVT ratio can be found using the Crankshaft Position Sensor (engine RPM), the CVT Pulley Position Sensor, and the CVT Secondary Pulley Revolution Sensor. By using DCSS to manage the power supply to the EMA, the FLC then adjusts the CVT appropriately based on the error (the difference between the goal and actual ratio). This work developed a fuzzy intelligent system to forecast the dynamic behavior of the EMA system in order to determine the current control for the EMA actuation when the CVT is operating. Using digital control switching and a fuzzy logic controller, the power supply has been managed to set the targeted CVT gear ratio. The CVT has a built-in failsafe mode to guard against damage in the event that some of the sensors fail. In order to prevent the central manual switching system from damaging the CVT and to fix the gear ratio equal to the first gear, the system switched to manual mode during failsafe mode. The time required to accelerate the car is found to be between 1.8 and 3.1 s. The EMA generates electromagnetic force between 108 and 301 Nm for supply currents between 6 and 9.33 amps.