ENHANANCEMENT OF CHARGING STATION PERFORMANCE IN SOLAR POWERED EV’s USING PID AND FUZZY LOGIC CONTROLLER

Electrical Engineering

Conventional Transport system is one of the major cause of pollution and is one of the major concern in the present era. The 80-90% of the major pollutants of the atmosphere is due to the conventional transport system. With the increase in the usage of the EVs there is increase in demand of EV charging stations. There is need to design an efficient EV charging station to accommodate the rapid increase in the electrical vehicles on the road. The local grids will come under pressure and will need support from nature. The renewable sources are naturally abundant and inexpensive alternative energy sources such as solar energy will provide the best alternative to provide supply to the charging station. Due to this, highly praised renewable energy-based charging stations have recently appeared all over the world. The paper aims to provide the reader with an overview of charging electric vehicles through renewable energy along with conventional sources. An efficient charging station is designed to meet the requirements with MPPT, PID, Fuzzy logic and voltage source controller and current source controller along with a Battery management system. Maximum power point tracking controller is used for extracting maximum power from the PV module .The fuzzy logic controller can handle high voltage configuration of solar panels to help to reduce voltage drop and enhance the efficiency of the charging station by increasing the output power and decreasing the charging time. The design of charging station is formulated and validated in MATLAB Simulink.

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