Optimizing Bidirectional EV Charger with Rapid Charging Architecture using Fuzzy Logic Control

The increase in the number of Electric Vehicles (EVs) has sparked an interest in determining whether or not they can function well as energy storage devices when used in the context of microgrids. The objective of this research is to explore the use of parked EVs for efficient surplus energy storage employing bidirectional charging technology using Fuzzy Logic Control(FLC) for charger's performance analysis. It utilizes DC rapid charging technology capable of delivering high power levels in the range of 120–240 KW for level 3 fast charging to establish the connection between EVs and a DC microgrid. To improve the dynamic performance of the V2G-G2V charging stations, fuzzy logic-based control and Proportional Integral (PI) control systems are one kind of soft computing used. The performance of two distinct control systems, i.e., Fuzzy Logic Control and proportional integral Control, is compared with respect to their charging speed in V2G and G2V modes. The simulation models are designed to analyze both V2G and G2V modes. This results in a reduction in total harmonic distortion (THD), which is produced by grid-injected current, making it a superb example of active power management. The use of fuzzy logic control exhibits a remarkable decrease in THD from 0.09% to 0.02%. These results provide evidence of the potential for both efficient and reliable operation of the proposed system.