A Microscopic Approach for Electric Vehicle Demand Estimation
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) the research team will build an agent-based model to model the daily activities of all drivers within a study region; (2) the team will estimate electric vehicle (EV) user distributions and charging demand based on socioeconomic attributes and public charging decision rules; and (3) the team 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.
Language
- English
Project
- Status: Active
- Funding: $135000
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Contract Numbers:
69A3551747108
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
North Dakota State University
Fargo, ND United States 58108 -
Project Managers:
Tolliver, Denver
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Performing Organizations:
Dept. of Civil and Environmental Engineering
University of Utah
Salt Lake City, UT United States -
Principal Investigators:
Liu, Xiaoyue "Cathy"
- Start Date: 20221013
- Expected Completion Date: 20240731
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
- Source Data: MPC-697
Subject/Index Terms
- TRT Terms: Demand; Electric vehicle charging; Electric vehicles; Optimization; Simulation
- Subject Areas: Energy; Highways; Planning and Forecasting; Terminals and Facilities; Vehicles and Equipment;
Filing Info
- Accession Number: 01863310
- Record Type: Research project
- Source Agency: Mountain-Plains Consortium
- Contract Numbers: 69A3551747108
- Files: UTC, RIP
- Created Date: Nov 3 2022 9:01AM