Fuzzy Logic-Enhanced EV Battery Charging Station: Integration of Solar PV, SEPIC and Buck Converter with MPPT Based CC-CV Charging

The designing and modeling of renewable based Electric Vehicle Charging Station (EVCS), using Solar Photovoltaics (SPV), SEPIC converter along with Maximum Power Point Tracking (MPPT) control, a BUCK converter as Voltage Regulation (VR) mechanism and Constant Current (CC) and Constant Voltage (CV) battery control for Li-ion battery charging which here is assumed as EV battery is proposed. A detailed modeling of the system is done in MATLAB/SIMULINK. The increase in Electric Vehicle (EV) has led to increasing demand of EVCS. The design proposed here is for off grid standalone charging station with renewable source integration enhancing green and clean energy source for sustainable transportation. Standalone systems are required to power the charging stations where grid feasibility is not available like in rural areas. SEPIC along with MPPT algorithm is used to dynamically optimize operating points of SPV to achieve maximum energy under different environmental conditions. In this paper a sustainable power generation system for Electric Vehicle Charging Station (EVCS) is proposed. The adoption of FLC for CC-CV control is advantageous over PID control in dealing with nonlinearities and adapting real time conditions parameters in changing environment. The performance and feasibility of system is demonstrated via results of simulations in SIMULINK. The dynamic responses of FLC based CC-CV charging system and overall system is observed.