Electromobility Pattern Modeling for Estimating the Charging Infrastructure of Electric Vehicles

The growth in the Electric Vehicle (EV) fleet increases the need for new Public Charging Stations (PCS). However, the conflicting interests of stakeholders make charging infrastructure planning highly complex. In practice, the chosen locations are as accessible as possible, predominantly in more central regions of cities. Above all, providing appropriate locations is essential since the recharge demand can impact the power distribution grid in technical, operational, and planning aspects. Given the above, this work proposes a methodology for estimating suitable locations for installing PCS. An approach based on transport modeling is carried out to evaluate electromobility patterns considering the routes with high EV traffic areas and their state of charge. The infrastructure is determined from the location-allocation problem, and the proposal is tested in a large metropolis considering two EV penetration scenarios.