A Comprehensive Analysis of EV Charging Demand Prediction, Infrastructure Planning, and Power Network Resilience in the Era of Electric Mobility

Electric vehicles (EVs) have emerged as an appealing transportation mode due to their exceptional energy efficiency and minimal emissions. Therefore, it is necessary to equip government agencies with adept strategies for integrating the increasing EV market share into their transportation and energy networks. This research project has three pivotal objectives aimed at effectively addressing the challenges of EV adoption: predicting the future EV charging demands, providing policy recommendations for EV charging infrastructure planning aligned with charging demands and the capacities of transportation and power networks, and integrating diverse charging options, including public charging stations, home chargers, and innovative overnight park-and-charge facilities. To accomplish these, the project will first employ daily travel patterns from travel survey data, probabilistic models capturing charging randomness, and EV market share from literature to precisely predict charging demand. Then, a two-level mixed integer linear programming will be utilized to optimize the deployment of charging infrastructure while minimizing the long-term investment cost and congestion in the transportation network, considering the power network capacity. The results of the optimization problem will be used to derive the policy recommendations. Finally, the integration of overnight park-and-charge, home chargers, and public charging facilities into the planning problem will determine their optimal locations, capacities, and associated costs. This project will have a multitude of impacts. The prediction of EV charging demand, efficient planning of charging infrastructure, and provision of various charging options can facilitate the adoption of EVs, thus expediting the transition towards sustainable transportation systems. The introduction of innovative overnight park-and-charge facilities can promote equitable access to EVs, addressing accessibility disparities. The optimization of charging infrastructure planning also has the potential to mitigate traffic congestion and improve power grid resilience. Infrastructure planners, such as the local department of transportation and utility companies, will consult all outcomes of this project when siting and sizing new charging stations and innovative overnight park-and-charge facilities.

Language

• English

Project

• Status: Active
• Funding: $100000
• Contract Numbers:

  69A3552348303

• Sponsor Organizations:

  Sustainable Mobility and Accessibility Regional Transportation Equity Research Center

  Morgan State University
  Baltimore, MD  United States 

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Project Managers:

  Niehaus, Joseph

• Principal Investigators:

  Yang, Xianfeng

• Start Date: 20230901
• Expected Completion Date: 20240901
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Electric vehicle charging; Forecasting; Market share; Optimization; Transportation planning; Travel patterns
• Subject Areas: Energy; Highways; Planning and Forecasting; Terminals and Facilities; Vehicles and Equipment;

Filing Info

• Accession Number: 01893881
• Record Type: Research project
• Source Agency: Sustainable Mobility and Accessibility Regional Transportation Equity Research Center
• Contract Numbers: 69A3552348303
• Files: UTC, RIP
• Created Date: Sep 21 2023 3:38PM