Optimal Charging Scheduler for Electric Vehicles on the Florida Turnpike

Previous results have developed a systematic methodology and analytical model for analyzing expected penetration of electric vehicles (EVs) and their impacts on the overall transportation infrastructure. The Florida Turnpike network has been used as a test system for this network project using real-world data that was collected and compiled from the Regional Integrated Transportation Information System (RITIS) database. Computer simulations were conducted for 24-hour Florida Turnpike roadway traffic data and the currently installed electric vehicle charging equipment data at the turnpike plazas. The charging equipment utilization and electric vehicle waiting time are compared for different EVs penetration rates and charging strategies. The results demonstrated that the proposed strategy results in a uniform utilization of the charging equipment at the service stations. The Turnpike has installed 6 Tesla superchargers each at 2 plazas which are used about twice per day on average (i.e., over 600 sessions per month). Two peer-refereed papers on the modeling have been published. Three conference and journal articles on scheduling EVs on the Turnpike and on micro-grid operation have been published and a future conference paper has been accepted.

Language

  • English

Project

  • Status: Active
  • Funding: $171307.00
  • Contract Numbers:

    DTRT13-G-UTC51

  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Block, David

  • Performing Organizations:

    University of Central Florida, Orlando

    P.O. Box 25000
    Orlando, FL  United States  32816
  • Principal Investigators:

    Qu, Zhihua

  • Start Date: 20131001
  • Expected Completion Date: 0
  • Actual Completion Date: 20180930
  • Source Data: RiP Project 36187

Subject/Index Terms

Filing Info

  • Accession Number: 01562878
  • Record Type: Research project
  • Source Agency: Electric Vehicle Transportation Center
  • Contract Numbers: DTRT13-G-UTC51
  • Files: UTC, RiP
  • Created Date: May 13 2015 1:00AM