Modeling Simulation and Performance Electrification of Cuckoo Search Based Charge Controller for Electrical Vehicle Applications

Abstract

In 2008, the launch of the Tesla proved to the public electric vehicles' ability to fuel and greenhouse gases reduction in the transport sector. It brought the worldwide spotlight on electric vehicles when, because of increased demand and fossil fuel prices, they reached unexpectedly high and developing countries needed strong economic growth. The capacity for energy storage by electric cars as well as the likely random discharge and loading of the grid are important challenges in operation and maintenance. The Optimal preparation techniques are important for large number of vehicles to be incorporated with the smart grid and electric vehicles. Greenhouse gas emissions are one of the major environmental problems and their emission rates are rising more quickly with rapid industrialization. This can be overcome by solar energy for transport. The purpose of the work proposed is to include a technology that supports green energy. The presented research underlines the functional properties of electric vehicle and illustrated literature review on recent developments of electric vehicles. The research paper also explains the fundamental components of electric vehicle incorporated with solar photovoltaic system. Research is useful in understanding properties and challenges in the field of electric vehicles. This research also involves the characteristic analysis of electric vehicles using mathematical modeling and design simulation. The secondary goal of this research is to implement the photovoltaic solar energy plant's equivalent design model. The solar photovoltaic system mathematical model has implemented using the MATLAB for maximum power point monitoring using the Cuckoo search algorithm.