Performance Analysis of Hybrid Optimized Pi Controller For Sepic Converter Based Grid Tied Electric Vehicle

Abstract

The Electric Vehicles (EVs) are garnering immense attention in recent times, since they support sustainable transportation with minimized carbon emission. The amount of carbon footprint released to the atmosphere is further reduced with the adoption of Photovoltaic (PV) based EVs. The PV output is initially fed to a DC-DC SEPIC converter, which produces high dc voltage with non-inverting output and reduced switching loss. The operation of the SEPIC converter is controlled using a Hybrid Grey Wolf Optimization (GWO)-Particle Swarm Optimization (PSO) based Proportional Integral (PI) controller for providing a stable DC voltage to the three phase Voltage Source Inverter ( 3𝜑 VSI). The 3𝜑 VSI output is used to power the BLDC motor of the EV. The power from the PV is sufficient for the EV application during daytime, however, during night time with the absence of the sun, the BLDC motor is supplied with the power from the grid. The grid is connected to this system through a Single Phase (1 𝜑 ) VSI. The proposed control method is verified using MATLAB simulation and the hybrid GWO-PSO algorithm delivers an outstanding efficiency of 96%.