Automotive engineering’s fuzzy inference system (FIS) is expanded to include vehicle dynamics, namely CVT with electromagnetically actuated systems. The EMA-CVT system management’s control goal is to use a fuzzy logic control system to govern the flow of electrical power through changes in current level. The load weight that replicated the traction torque at the propeller shaft was detected by a load sensor. The necessary current level to run the EMA in each driving scenario is then estimated using the related load signal. Then, using the Current Control Module (CCM) to regulate the power supply to the EMA, FLC adjusts the CVT gear ratio as necessary. The aggregation method is used to merge the output fuzzy sets produced by the fuzzy inferring (reasoning) system into a single fuzzy set. Active fuzzy rule outputs are then combined to create a final output fuzzy set, which is then defuzzed using the centroid approach to yield the servo motor’s crisp output (S) at a 270° angle.