Toward an Efficient and Resilient Electric Vehicle Charging Place Allocation Using Multiagent Approach

Ahamad Iftekhar, Naoki Fukuta

Abstract: In this paper, we propose a smart charging prediction and automatic booking system for long-distance EV travel using multi-agent approach. Our approach includes three main modules: a charge prediction module that forecasts travel time and distance based on EV models, a smart booking module that suggests booking a slot before the EV charge is depleted, and an optimal route selection module that collaboratively recommends the best path based on charging station locations along with traffic status and overall travel time.