An inimitable Elman network based fire hawk controller and skill optimized power tracker with ultra gain converter for improving the performance of PV tied EV systems

The need for Electric Vehicles (EVs) has grown as a result of the issues brought on by fossil fuels. To keep up with the rising demand for electricity, the power source is equipped with additional renewable energy sources (RES). In order to meet the demand for energy, the solar photovoltaic (PV) system is deployed in this work. The novel contribution of this paper is the design and development of unique converter and regulating models to improve the overall power tracking performance, voltage gain, power quality, motor performance and efficiency of the PV-EV system. Here, a cutting-edge MPPT controlling model known as, Skill Optimized Power Tracker (SOPT) is developed in this work to maximize the quantity of electrical energy generated by solar panels in the context of changing temperature and irradiance. This work effectively increases PV output by adopting an innovative Ultra high gain converter, which increases voltage gain efficiency with less switching stress and power loss. In particular, this endeavor develops a unique Inimitable Elman Network based Fire Hawk Controller (IEFC) to improve the power quality and motor performance of EVs. Moreover, the simulation results of the proposed SOPT-IEFC controlling model and Ultra-high gain converter are validated through an array of performance measures including overall efficiency (99%), THD (1.05%), and motor speed (1200 rpm).