An Optimized PV based Plug-in Hybrid Electric Vehicle Charging Station Using Fuzzy-PI Controller Logic

Abstract

The multi-port charging station for EV application is being widely used nowadays. The renewable energy-based charge generation schemes are employed with various controlling and optimization algorithms. The conventional method is applied with a PI controller based inverter circuit for accessing the PV grid-connected system interconnected with a charging station. Here the gating pulse is generated through Sinusoidal Pulse Width Modulation (SPWM) and it is controlled with a PI controller. The main objective of the proposed method is to increase the percentage of the State of Charge (SoC) and improve the grid utility circuit so that it could utilize a large load. In the proposed work, the optimized circuit of the PV grid system is designed by using Particle Swarm Optimization and the controller of the inverter circuit utilizes the Fuzzy based PI logic, then it generates the gate signal by Pulse Width Modulation Generator. The system is designed based on the utility grid and the EV capacity and the inverter block plays a vital part in this circuit. The controlling technique of the inverter improves the results by activating the charge depending on the load demand. The proposed PSO technique is improved through frequency scaling activation and the maximum power point tracking approach. The experimental results show the state of the utility charge by inverter, State of Charge, DC link voltage, PV tracking range and EV charging current. Thus, it can be concluded that the proposed work has achieved better results than other existing works by the design of the above-mentioned optimized PV model. The overall design model is performed with the help of the 2018a version of MATLAB/Simulink.