Design and Implementation of Renewable Based EV Charging Station

I Anose; T Aswin; P Madasamy; N Vignesh

doi:10.15662/IJAREEIE.2022.1203003

I Anose UG Scholars, Francis Xavier Engineering College, Tirunelveli, Tamilnadu, India
T Aswin UG Scholars, Francis Xavier Engineering College, Tirunelveli, Tamilnadu, India
P Madasamy UG Scholars, Francis Xavier Engineering College, Tirunelveli, Tamilnadu, India
N Vignesh UG Scholars, Francis Xavier Engineering College, Tirunelveli, Tamilnadu, India

DOI: https://doi.org/10.15662/IJAREEIE.2022.1203003

Keywords: Fossil Fuel, Solar energy, Fed grid, Neuro Fuzzy, E-Vehicle

Abstract

A significant transformation occurs globally as transportation switches from fossil fuel-powered to zero emission E-Vehicles. The transition to the electric vehicle requires an infrastructure of E-Vehicle charging stations everywhere. The rapid adoption of electric vehicles (EVs) calls for the widespread installation of EV charging stations. To maximize the profitability of charging stations, intelligent controllers that provide both charging and electric grid services are in great need. However, it is challenging to determine the optimal charging schedule due to the uncertain arrival time and charging demands of EVs. In this paper, we propose solar energy based three phase voltage source inverter fed grid. In this research solar energy is maintain a consistent output voltage to the load or grid. In this research PV system with a NeuroFuzzy-based MPPT algorithm and a Switched Z source Boost converte .