Route Optimization for Increased EV-to-EV Charging Profitability and Efficiency

Transitioning to Electric Vehicles (EVs) is quite beneficial to the environment. However, the mass adoption of EVs is significantly hindered by battery-related challenges, such as restricted driving range, long charging time, and insufficient charging infrastructure. EV-to-EV charging has emerged as a promising means for addressing the aforementioned concerns. The energy supplier (ES) can replenish the batteries of the energy requesters (ER) while the vehicles are on the move. In this paper, we define the problem of routing and matching EVs over a time-space network and develop a dynamic programming approach to effectively find the solution. The primary goal of this study is to optimize the supplier's profitability within a certain timeframe, considering factors such as battery degradation and overhead. The simulation results confirm the effectiveness of our proposed approach in terms of maximizing supplier's profit and minimizing the energy consumption, travel time, and distance for requesters.