Effective power management and battery state of charge (SOC) maintenance are critical for the reliable operation of electric vertical take-off and landing (eVTOL) aircraft. This study presents a fuzzy logic-based control system to optimize power consumption and sustain optimal SOC levels in dynamic operating situations. The system, created with MATLAB’s Fuzzy Logic Toolbox, dynamically adapts to changing power demands to guarantee efficient energy use and operational stability. The control system was validated using an experimental setup that replicated real-world conditions. The results show that it is more effective than conventional solutions in preserving SOC stability and optimizing energy usage in dynamic and steady-state activities. The fuzzy logic technique is adaptable and durable, making it an excellent choice for next-generation eVTOL power systems. Future work will include integrating a neuro-fuzzy interface to improve the system’s flexibility and predictive capabilities, power management efficiency, and SOC control in more complex and nonlinear operational contexts.