This paper presents a comprehensive exploration of efficient power management strategies applied to electrical vehicle (EV) charging stations based on hybrid energy sources, specifically integrating photovoltaic (PV) and wind energy. The study emphasizes the utilization of fuzzy logic controllers (FLCs) to optimize the dynamic and often unpredictable nature of renewable energy inputs in the charging infrastructure. The proposed methodology involves the modeling of a hybrid system wherein PV and wind energy serve as primary power sources, complemented by a backup battery for DC power. Fuzzy logic algorithms are employed to intelligently control the charge distribution within the battery bank, ensuring optimal utilization and controlled charging. The study further investigates the role of fuzzy logic in fine-tuning inverter control during power mismatches and implementing pitch control logic to prevent overvoltage situations. In a departure from traditional Maximum Power Point Tracking (MPPT) methods, the paper introduces a novel approach, illustrating its application in a hybrid wind-battery system through MATLAB/SIMULINK simulations. The results demonstrate enhanced performance, stability, and reduced harmonic distortions, emphasizing the efficacy of the proposed fuzzy logic-based power management strategy.