Adaptive Control Strategy for Bidirectional Converters to Improve EV Charging Efficiency

Abstract: This research introduces an ANN-based bidirectional power converter designed to enhance EV charging control networks. The proposed system efficiently manages the charging and discharging of electric vehicles by employing an ANN controller that dynamically regulates the power flow in bidirectional converters. By leveraging the adaptive capabilities of the ANN, the converter adjusts in real time to changing charging requirements. This approach maximizes the stability and efficiency of energy transfer across various load conditions. Unlike traditional controllers, this method reduces response time while simultaneously enhancing power quality, facilitating quicker and more efficient charging. Experimental results indicate that the system is capable of charging different electric vehicle batteries with varying degrees of efficiency and precision. An ANN-based bidirectional converter has the potential to make electric car chargers smaller, lighter, and more affordable, while also providing a scalable solution to accommodate the growing electric vehicle network.