This paper presents an enhanced Maximum Power Point Tracking (MPPT) algorithm for Quadratic-Boost Split Source Inverters (QB-SSI), designed for grid-connected Photovoltaic (PV)-powered smart charging stations for Electric Vehicles (EVs). The proposed algorithm integrates advanced control strategies and adaptive techniques to address the limitations of traditional MPPT techniques. By dynamically adjusting to operating conditions and environmental factors, the enhanced algorithm achieves accurate and rapid tracking of the maximum power point (MPP) under dynamic conditions. The paper provides a comprehensive overview of the QB-SSI topology, a detailed mathematical model, and simulation results. These findings demonstrate the superior performance of the enhanced MPPT algorithm, offering significant improvements in tracking accuracy, convergence time, and efficiency, thereby enhancing the overall performance of QB-SSI-based PV systems. A modified space vector modulation (SVPWM) is utilized to enhance the inverter switching characteristics and dc-boosting capability. The overall system is modeled via MATLAB/Simulink™, and the experimental results providing valuable insights into the performance and functionality of the proposed algorithm. This allows for a comprehensive analysis of its capabilities and potential advantages in practical applications.