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Project Details

Title:A Microscopic Approach for Electric Vehicle Demand Estimation
Principal Investigators:Xiaoyue "Cathy" Liu
University:University of Utah
Grant #:69A3551747108 (FAST Act)
Project #:MPC-697
RiP #:01863310
RH Display ID:159661
Keywords:demand, electric vehicle charging, electric vehicles, optimization, simulation


This study aims to produce a realistic and high-resolution public charging simulation environment and provide practical guidance for future charging station deployment. There are three specific objectives to achieve this goal: 1) We will build an agent-based model to model the daily activities of all drivers within a study region; 2) We will estimate EV user distributions and charging demand based on socioeconomic attributes and public charging decision rules; and 3) We will develop an optimization framework based on the estimated public charging demand to efficient solve the EVSE allocation problem, in an effort to maximize the coverage of total charging demands under investment costs and load capacity constraints.

Project Word Files

NDSU Dept 2880P.O. Box 6050Fargo, ND 58108-6050