A Review of Solar-Powered EV Charging Systems and MCSA-Based Power Optimization

Abstract

A need for faster, dependable, and sustainable charging infrastructure has become clearly evident with the expanding use and growth of electric vehicles (EVs). Under this framework, solar-powered EV charging is considered a favorable solution to lessen dependence on the conventional grid for charging energy and consequently limit greenhouse-gas emission. The current review evaluates the various solar-based charging architectures, prime components of systems, power-electronic interfaces, and control strategies that have been proposed to optimize energy use in relation to a variation in solar irradiation conditions, while at the same time underlining their DC-DC converter, energy storage system, and charge-controlling action, which maintain the voltage, current, and state-of-charge (SOC) stable. A prime idea behind the paper is the integration of intelligent optimization techniques for power management specifically utilizing the Modified Cuckoo Search Algorithm with Chaos Theory (MCSA). This facilitates an improvement in the performance of the converters, stability of the DC-link voltage, and proper power distribution between solar PV arrays, station batteries, and auxiliary energy sources. A comparison between the traditional P&O technique with constant-current limitation and the MCSA under constant and changing levels of irradiation demonstrates improved response times, quality and extraction of power, and handling of SOC from one to another irradiance range.