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 minimizing 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. To demonstrate the efficacy of the method, a real case study in Apulia region (Italy) is considered. Additionally, different traffic scenarios are simulated in SUMO environment, and the results show the impact of traffic on the travelling times.