Optimal Charging Station Planning to Adapt Mass Adoption of Electric Vehicles under Both Normal and Evacuation Scenarios (Project B6)

Recently, the climate change effect is quickly moving up the agenda of Government and companies to promote the mass adoption of electric vehicles (EVs). To move toward this goal, state of the art shows that the critical obstacle is insufficient EV charger infrastructure. Accordingly, many state and local agencies (e.g., state DOTs, counties, and cities), and companies (e.g., Tesla), are planning to install fast-charging infrastructure (e.g., Direct Current Fast Charger (DCFC)). However, charging stations and the roads around them will easily become congested resources in the transportation network due to relatively long charging time (>20 minutes). This STRIDE project will develop an optimal roadside DCFC charging station installation (location and capacity) plan by integrating optimization, simulation, queue theory, link flow dynamics, and machine learning approaches to mitigate charging station queueing and nearby traffic congestion. The resulted modeling and algorithms will enable adaptive roadside DCFC installation plan fitting the massive EV usage under both normal and evacuation scenarios. The research team will use the Florida State highway system as the testbed and build simulation studies through Florida Statewide Model FLSWM to evaluate the performance of our approaches. The team expects their approaches can help both transportation electrification and resilience in USA.

Language

• English

Project

• Status: Active
• Funding: $90000
• Contract Numbers:

  69A3551747104

• 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:

  Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)

  University of Florida
  365 Weil Hall
  Gainesville, FL  United States  32611
• Project Managers:

  Tucker-Thomas, Dawn

• Performing Organizations:

  University of Florida Transportation Institute

  P.O. Box 116580
  Gainesville, FL  United States  32611

  Florida International University

  10555 West Flagler Street
  Miami, FL  United States  33174
• Principal Investigators:

  Du, Lili

  Jin, Xia

• Start Date: 20220201
• Expected Completion Date: 20230523
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Electric vehicle charging; Electric vehicles; Evacuation; Location; Simulation
• Geographic Terms: Florida
• Subject Areas: Energy; Highways; Planning and Forecasting; Security and Emergencies; Vehicles and Equipment;

Filing Info

• Accession Number: 01854179
• Record Type: Research project
• Source Agency: Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)
• Contract Numbers: 69A3551747104
• Files: UTC, RIP
• Created Date: Aug 10 2022 2:11PM