High-power DC-DC converter with proposed HSFNA MPPT for photovoltaic based ultra-fast charging system of electric vehicles

This research paper describes the implementation of a photovoltaic (PV) fed energy-efficient high-power DC-DC converter for ultra-fast charging systems with a proposed hybrid simplified Firefly and neighborhood attraction firefly (HSFNA) algorithm for maximum power point tracking (MPPT). The proposed high-gain step-up SEPIC converter is employed to deliver efficient MPPT operation, higher step-up voltage gain, higher efficacy, and a more straightforward controlling mechanism. It provides continuous input current, maximum current handled ability, and higher quality DC voltage generation suitable for battery charging operation. Moreover, an isolated unidirectional dual-bridge converter (IUDBC), DC-DC converter, has been employed for ultra-fast battery charging of electric vehicles. This accomplishes higher current charging to load, providing power transmission ability per battery demand by controlling several charging actions. Moreover, an ideal PV model approach has been implemented in this research work, providing accurate analysis of estimation of model parameters mathematically. Further, a proposed HSFNA based MPPT provides higher convergence velocity, fast-tracking, accurate responses, higher efficiency, and can track global maximum power point (GMPP) under partial shade and varying operating conditions. Simulation and practical responses confirmed the effectiveness of the system design for ultra-fast charging systems.