  This work proposes a new modeling framework for jointly optimizing the
charging network design and the logistic mobility planning for an electric
vehicle fleet. Existing literature commonly assumes the existence of a single
entity, the social planner, as a powerful decision maker who manages all
resources. However, this is often not the case in practice. Instead of making
this assumption, we specifically examine the innate noncooperative nature of
two different entities involved in the planning problem. Namely, they are the
charging service provider (CSP) and the fleet operator (FO). To address the
strategic interaction between entities, a bilevel mixed integer program is
formulated, with the CSP and FO problems expressed in the upper and lower
levels respectively, in a joint decision making process. These decisions
involve the CSP infrastructure siting, sizing, substation capacity upgrades,
the FO fleet composition, vehicle routing, charging, and delivery assignment.
To relieve computational burdens, we utilize a double loop solution
architecture to iteratively reach optimality. We conduct detailed numerical
studies on a synthesized small network and the simulation results reveal the
unique aspects of this two entity framework. This modeling perspective can be
generalized to other system design problems with two interacting agents
planning and operating resources across networks.
