A Design of Battery Swapping based Wireless EVs Charging with Game Theoretical Model and Ant Colony Optimization using IoT based Cloud Systems

Battery Swapping-based Wireless (BSW) EV charging quickly changes the empty EV batteries with fully charged ones, thus the time for which the vehicle is not operational is minimized. The Battery Swapping-based Wireless Green Artificial Intelligence (BSWGAI) model is an elaborate concept of Electric Vehicle (EV) charging and data management for smart cities. The model is a cloud-assisted secure network of the Model Owner (MO), Multiple Users (MUs), a Cloud Server (CS), and an offline Key Distribution Center (KDC) for key management and data encryption. To balance energy storage in the most effective manner Game Theory's (GT) Stackelberg game approach is utilized, while an Ant Colony Optimization Algorithm (ACOA) is employed for perfecting energy distribution paths, enabling recurrence changes through pheromone-based feedback to reach aspirational patterns and solutions. Simulation parameters are computational overhead, error, average satisfaction level, power output, and speed.