Electric Vehicles Routing Simulation and Optimization under Smart Charging Strategies

This work deals with the problem of optimizing the routing of electric vehicles (EVs) for logistics operations. An optimization approach solves the Electric Vehicle Routing Problem and is formulated as an Integer Linear Programming problem. The objective is to minimize the charging/discharging cost considering the shortest path for each EV that must deliver freight to a group of customers. Moreover, to validate the performance of the proposed optimization method, we adopt SUMO software to model and simulate the EVRP problem solution. A real case study in the Apulia region (Italy) is considered to demonstrate the method's efficacy. Additionally, different traffic scenarios are simulated in the SUMO environment, and the results show the impact of traffic on the traveling times.