Performance optimization of an interleaved boost converter with water cycle optimized PO algorithm-based MPPT for the applications of solar-powered E-vehicles

Abstract

An Interleaved Boost Converter (IBC) with fewer input/output filters, a faster dynamic characteristic, and less device stress is developed for Sun Powered E-vehicles (SPEVs), in contrast to conventional designs. Using the current control loop of an IBC, the size of passive components and variations in the output voltage and input voltage are often minimized with excellent efficiency. The PV-Battery system must employ an MPPT controller to guarantee a UPS and support the movement of the vehicle under erratic circumstances. PV systems function well under ideal circumstances, however, shading, irradiance, temperature, and inclination angle may put the PV system into a scenario where it is partially shaded. It is difficult to pinpoint the worldwide peak when many power peaks take place. To avoid deviations, a solar system's MPPT technique monitors and maintains the MPP. The unique Water Cycle Optimized Perturb and Observe (WCO-PO) method is presented in this work as a solution to the problems. The proposed technique exhibited a shorter computation time, a rapid convergence rate, and minimal variations after reaching MPP in a variety of weather scenarios using MATLAB/Simulink software. These test results are presented together with a comparison of the suggested approach and other methods.