Single Phase Grid Connected Solar Charging Station For Electrical Vehicles Using ANFIS-Neural Network Control Approach

This work presents a new system architecture for low-cost photovoltaic (PV) battery charging stations that can balance: 1) the cumulative charging time of each battery and 2) the overall charging time of all battery power sources. The new system's first control strategy is to rapidly charge each battery at the same voltage or SOC level before charging multiple batteries in parallel at the same time. The solar PV system is integrated with ANFIS MPPT to extract maximum power. From the PV module, the static battery storage and the EV battery are controlled by a feedback voltage control scheme to maintain a constant DC bus voltage. The neural network means that the NN receives two inputs: PV power and Soc of constant battery and the generated output is the actual current reference signal of grid inverter control. The simulations are then discussed under,several situations where the radiation conditions change and the,battery remains constant and EVs have different social,EV charging stations where the energy is processed successfully,using neural networks.