Design and Development of Solar Powered EV Charging Station

Abstract

In this research work, the design and development of solar-powered electric vehicle (EV) charging station is presented. It aims to develop a grid-integrated solar-PV system to provide an uninterruptable power supply to charge EV batteries and surplus power can be fed into the grid and local load. The motivation of the work is to maximum utilization of renewable energy sources (RESs) for EV charging, and household load demands to reduce the carbon footprints. A single-phase grid-integrated solar PV system is considered for the study, which can be useful for home/office/building EV charging station. The work started with designing of single-phase grid-integrated solar PV system for real power transfer along with power quality enhancement. Different control techniques are developed to enhance performance of the system in terms of dynamic response, complexity and harmonic compensation capability. Thereafter, the system is modified to develop EV charging station, which can be fed with PV and Grid. The system is controlled in such a manner to maximize the utilization of PV for EV charging based on availability. An efficient energy management system is developed for optimal utilization of resources and to achieve various modes of operation. Eventually, some work is presented on accurate estimation of the state of charge (SOC) of EV battery used in the developed system. The proposed system is simulated in MATLAB/Simulink and validated using a developed hardware setup in the laboratory. In the begning a single-phase grid-integrated solar photovoltaic (GISPV) system is developed using a projected Kernel least mean p-power (PKLMP) control technique for gating pulse generation. This technique is based on the vector projection (VP) method with a criterion of mean p-power error (MPE). The proposed controller extracts fundamental current components from nonlinear load current at different conditions and generates reference grid currents. It offers superior filtering accuracy and a faster convergence rate.