Hybrid-optimized PI Controller With SEPIC Converter in PV-Based Grid-Integrated Electric Vehicle

Abstract

Electric vehicles (EVs), which assist sustainable transportation while minimising carbon emissions, have recently attracted a lot of interest. Utilizing EVs powered by photovoltaics (PV) significantly minimises the amount of carbon dioxide emitted into the atmosphere. The DC-DC SEPIC converter receives the PV output first, and gives output as high dc output voltage with low switching loss, and a non-inverting output. A hybrid Grey wolf optimization-Particle Swarm Optimization (GWO-PSO) based Proportional Integral (PI) controller is used to manage the performance of the SEPIC converter in order to ensure a steady DC voltage for the three phase Voltage Source Inverter (3-Ø VSI).The EV’s run by BLDC motor is powered by the 3-Ø VSI output. During the day, the EV application may run on power from the PV however, at night, when the sun is not shining, the BLDC motor needs power from the grid. This system is linked to the grid via a 1-Ø VSI. The efficiency of the hybrid GWO-PSO algorithm PI Controller is 96% which is verified using MATLAB Simulation.