| Abstract: |
This paper describes a photovoltaic PV powered fast charging of electric vehicles (EV) batteries employing a closed loop buck converter integrated with a Particle Swarm Optimization (PSO) maximum power point tracking (MPPT) controller. The research is conducted under standard test conditions with constant irradiance of 1000 W/m² and temperature of 25°C in order to ensure operation at the maximum power capability of the PV array. The PSO algorithm continuously optimizes the operating point of the PV system, enabling rapid convergence to the global maximum power point with minimal steady-state oscillations. The extracted power is processed through a high-efficiency buck converter that provides regulated charging current, low output ripple, and a stable DC supply suitable for fast battery charging applications. A buck converter optimized for high currents is developed to allow low ripple current, control of the charging current and maintenance of a smooth and stable DC source suitable for fast charging of the EV batteries. The complete system was modelled and verified in the MATLAB/Simulink format, including the detailed dynamics of the PV, converter and batteries. Simulation results demonstrate effective maximum power point tracking, im-proved power extraction efficiency, stable converter operation, and reliable battery charging performance while maintaining voltage and current within safe operating limits. The findings validate the effectiveness of the proposed PSO-based charging architecture for efficient, reliable, and sustainable solar-powered fast charging of electric vehicles, supporting the integration of renewable energy resources into future transportation systems. |
