Implementation of Optimization Algorithms to Enhance the Efficiency and Regulation of SEPIC Converter Based Solar Powered EV Charging Stations

Global warming makes it essential to switch from internal combustion engine (IC) vehicles to electric vehicles (EVs). EVs minimize the air pollution and generate less oxides compared to combustion engines. The growing number of EVs on the road relying on the traditional fossil fuel-based grid for charging is becoming increasingly uneconomical and inefficient. Sustainability, reliability, and benefits such as cost savings, energy independence, and emissions reduction motivate the shift to solar photovoltaic systems for EV charging stations using renewable resources. A solar PV system-based novel SEPIC converter regulates the output voltage by adjusting the voltage step up or step down based on the requirements. Though the sunlight varies, the converter stores energy efficiently. MATLAB Simulink simulates the converter to ensure efficient voltage regulation and fast transient response. The PID and fuzzy algorithms regulate the converter's voltage. The fuzzy logic controller-based system is used to enhance the voltage stability and performance metrics of the converter.