Paper Title
Design and Implementation of Artificial Neural Network-Based Controllers for Electric Vehicle-To-Vehicle Energy Transfer Via On-Board Converters

Abstract
Control systems for energy transfer between electric vehicles and other vehicles via on-board converters (OBCs) that utilize Artificial Neural Networks (ANNs) are the primary emphasis of this research. The goal is to make the transmission of energy between EVs more efficient and dependable. In order to maximize the electrical power flow while controlling the transfer process properly, the research comprises developing and integrating ANN controllers. The suggested controllers are tested in a thorough performance study to see how well they enhance the overall efficiency as well as stability of energy transfer from EV to EV. Validated employing a MATLAB/Simulink simulated study, this work adds to the growing body of knowledge on electric car technologies and how to optimize energy transfer methods for environmentally friendly transportation networks.