Hybrid Cuk-Zeta Converter with Neuro Fuzzy Approach for EV Applications

The transportation sector is a key component of tackling global climate change, which facilitates sustainable development. An effective and environmentally friendly way to decarbonize the transportation industry is through electric vehicles (EVs). This paper proposes EV charging station, using hybrid converter technique along with Maximum Power Point Tracking (MPPT) approach. In this work charging of EV is accomplished by Photovoltaic (PV) system. The voltage from PV system is boosted with the support of Cuk-Zeta converter. Furthermore, Adaptive Neuro Fuzzy Inference System (ANFIS) based MPPT approach is established to control the converter along with maximum extraction of PV voltage. Finally, the voltage across DC link is transferred to EV battery from where, it is offered for Vehicles for charging. The exhaustive construction is examined and validated using MATLAB, proving that the proposed setup results in improved performance with 95.32% converter efficiency respectively.