Adoption-Aware Planning for Reliable EV Charging Infrastructure
Project Description
This project studies how electric vehicle charging infrastructure can be planned not only to meet current demand, but also to shape future EV adoption. The work focuses on the feedback loop between charger deployment, EV uptake, charging demand, and grid capacity. The project will develop a multi-stage planning framework that helps identify when and where charging stations and grid upgrades should be deployed while managing risks related to service shortages, adoption targets, and grid overloads. The goal is to support more reliable, cost-effective, and forward-looking EV infrastructure planning.
Supervisor
JIANG, Nan
Quota
2
Course type
UROP1100
UROP2100
UROP3100
Applicant's Roles
The applicant will contribute to the development of the planning model, review relevant literature, organize and analyze EV adoption and charging infrastructure data, and help design computational experiments. The applicant will also support the interpretation of results, preparation of figures and summaries, and communication of findings for academic audiences.
Applicant's Learning Objectives
The applicant will learn how infrastructure planning models are developed for transportation and energy systems, how EV adoption and charging demand can be represented in optimization models, and how uncertainty and risk can be incorporated into planning decisions. The applicant will also gain experience with data analysis, mathematical modeling, computational experimentation, and communicating technical research.
Complexity of the project
Challenging