Authors: Ms. D. Sushma, A. Prasanna Reddy, T. Hrishikesh, N. Sravani
Abstract: The accelerating shift toward electric mobility demands charging solutions that move beyond grid dependency and deliver consistent, renewable-backed power. This paper presents a dual-input solar photovoltaic (PV) and battery energy storage system (BESS) designed for EV charging, built around a two-phase interleaved boost converter. Two independently designed yet cooperatively operating control strategies govern the system: an Incremental Conductance–Fuzzy Logic hybrid MPPT (INC-Fuzzy) for the PV source, and a cascaded Sliding Mode Controller (SMC) for battery management. The INC-Fuzzy MPPT feeds a normalised INC error signal into a 49-rule Mamdani fuzzy inference engine, yielding adaptive variable-step tracking that surpasses conventional fixed-step methods in both convergence speed and steady-state accuracy. The SMC battery controller drives nested voltage and current sliding surfaces, generating dynamic charge and discharge duty signals while automatically transitioning between constant-current and constant-voltage modes based on battery state of charge (SOC). MATLAB/Simulink simulation results, presented as actual scope waveforms, confirm stable DC bus regulation at 324 V, smooth MPPT convergence, and well-controlled interleaved boost current from startup through steady state, demonstrating the practical viability of this architecture for sustainable EV charging infrastructure.
