Joint Design for Electric Fleet Operator and Charging Service Provider: Understanding the Non-Cooperative Nature

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 non-cooperative 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 bi-level mixed integer program is formulated, with the CSP/FO's problem expressed in the upper/lower levels respectively, in a joint decision making process. These decisions involve the CSP's infrastructure siting, sizing, substation capacity upgrades, the FO's fleet composition, vehicle routing, charging, and delivery assignment. To solve the problem, an iterative fashion is adopted to solve and 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.

Automated summary

This work proposes a new modeling framework for jointly optimizing the design of charging networks and logistics planning for electric vehicle fleets. It considers the non-cooperative nature of the charging service provider and fleet operator and formulates a bi-level mixed integer program to address their strategic interaction. Through detailed numerical studies on a small network, it demonstrates the uniqueness of this framework.