Solar-Powered EV Charging and Adaptive Irrigation System

Solar photovoltaic (PV) irrigation systems are emerging as a promising technology for regions with high solar irradiance and unreliable grid electricity. However, their intermittent use necessitates capacity optimization. To address this issue, this paper proposes a solar-powered system that integrates adaptive irrigation and electric vehicle (EV) charging. In order to maximize utilization of energy depending upon the demand in real time, the system dynamically divides power from the PV array between an EV battery and an induction motor for irrigation. This study demonstrates that when the PV power decreases from 2.6 kW to 1.58 kW, the EV battery compensates by discharging approximately 1 kW. This illustrates how the EV battery adjusts for periods of lower PV output by transferring energy to the irrigation motor, guaranteeing continued optimal functioning. The irrigation system employs a fuzzy logic controller (FLC) to optimize water flow rate by adjusting rotor speed via the voltage-hertz (V/f) method, based on soil moisture and temperature. At <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$44^{\circ}\mathrm{C}$</tex> and 50% soil moisture level, the FLC evaluates a reference synchronous speed of 1200 RPM to precisely align the water flow rate with soil requirements. This integrated approach addresses inefficiencies in the conventional PV irrigation model. The proposed system is validated through MATLAB Simulink®.