The fast growth of electric vehicles (EVs) has produced a strong demand for capable and sustainable charging infrastructure. Conventional EV charging stations mostly depend on generated from fossil fuels, which contribute to environmental pollution and greenhouse gas emissions. Solar photovoltaic (PV) technology converts sunlight directly into electrical energy. The Electrical power generated by solar PV panels varies depending on environmental conditions such as solar irradiance and temperature. To develop the efficiency of solar PV systems, MPPT techniques are used. MPPT is a control method that continuously adjusts the operating point of the solar panel so that it can deliver maximum power under different environmental conditions. By using MPPT algorithms with power electronic converters, the performance and efficiency of solar energy systems can be significantly enhanced. In a solar-powered EV charging station, the energy produced by the PV array is processed through a DC-DC converter controlled by an MPPT algorithm. This paper analyze the value of the P&O MPPT algorithm for different load conditions and explores various modification to increase tracking accuracy. The integration of MPPT with power converters further improve system efficiency. The Simulation and tentative results show the possibility of implement P&O MPPT in real-world PV systems. The opportunity advancement in adaptive MPPT strategy will be essential in maximizing solar energy consumption.