Electric Vehicle Routing with Public Charging Stations

Nicholas D Kullman (1) , Justin Goodson (2) , Jorge E. Mendoza (3)

1 LIFAT - Laboratoire d'Informatique Fondamentale et Appliquée de Tours
2 Saint Louis University
3 HEC Montréal - HEC Montréal

We introduce the electric vehicle routing problem with public-private recharging strategy in which vehicles may recharge en-route at public charging infrastructure as well as at a privately-owned depot. To hedge against uncertain demand at public charging stations, we design routing policies that anticipate station queue dynamics. We leverage a decomposition to identify good routing policies, including the optimal static policy and fixed-route-based rollout policies that dynamically respond to observed queues. The decomposition also enables us to establish dual bounds, providing a measure of goodness for our routing policies. In computational experiments using real instances from industry, we show the value of our policies to be within five percent of the value of an optimal policy in the majority of instances and within eleven percent on average. Further, we demonstrate that our policies significantly outperform the industry-standard routing strategy in which vehicle recharging generally occurs at a central depot. Our methods stand to reduce the operating costs associated with electric vehicles, facilitating the transition from internal-combustion engine vehicles.

Domaines: Recherche opérationnelle [math.OC]

Nicholas D Kullman, Justin Goodson, Jorge E. Mendoza. Electric Vehicle Routing with Public Charging Stations. 2019. ⟨hal-01928730v2⟩