The need for sophisticated, renewable-powered charging infrastructure that guarantees quick, effective and continuous energy delivery is driving increased demand for Electric Vehicles (EVs) and the global movement toward sustainable energy. The time-consuming and grid-dependent nature of traditional plug-in EV charging techniques restricts their scalability and reactivity, particularly in high-demand urban or fleet conditions. A smart hybrid EV Hub that combines solar and wind energy sources for a smooth EV charging and battery swapping experience is proposed in this study to address these issues. Wind turbines and Photovoltaic (PV) panels are used as clean energy sources in the system. The PV array's low DC voltage output is effectively increased via a Modified Quadratic Boost Converter (MQBC). Artificial Neural Network (ANN), optimized by the American Zebra Optimization (AZO) algorithm, which acts as an extract Maximum Power Point Tracking (MPPT) controller that extract highest amount of energy from fluctuating environmental conditions. To enable quick battery replacement and less downtime, energy harvested from renewable sources is either used to charge swappable EV batteries in a specialized battery bank. In order to balance system load, these swappable units also function as distributed energy storage. The system is linked to the electric grid, gets supply from PV and it acts as an energy management for EV battery. The validation of the proposed model is simulated in MATLAB/Simulink and achieves the efficiency of 95%.