Optimal Charging Scheduler for Electric Vehicles on the Florida Turnpike

Details

• Creators:
  Qu, Zhihua ; Gusrialdi, Azwirman
• Corporate Creators:
  University of Central Florida. Electric Vehicle Transportation Center (EVTC)
• Contributors:
  Dunn, Denise
• Corporate Contributors:
  United States. Dept. of Transportation. Research and Innovative Technology Administration ; University Transportation Centers Program (U.S.)
• Subject/TRT Terms:
  • Driver support systems
  • Electric vehicle charging
  • Electric vehicles
  • Methodology
  • Optimization
  • Scheduling
  • Service stations
  • Simulation
  • Travel patterns
  • Wireless communication systems
  More +
• Publication/ Report Number:
  FSEC-CR-2070-17
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Florida
• Edition:
  Final research project report
• Corporate Publisher:
  University of Central Florida. Electric Vehicle Transportation Center (EVTC)
• Abstract:
  This project developed a methodology to simulate and analyze roadway traffic patterns and expected penetration and timing of electric vehicles (EVs) with application directed toward the requirements for electric vehicle supply equipment (EVSE) siting and purchasing/leasing at turnpike plazas. The project also developed a wirelesscommunication-based driver-assistance application that would optimize the location and timing of charging for individual drivers as well as efficiency of the overall charging network. The first steps of the project were to develop the systematic methodology for analyzing expected penetration of electric vehicles (EVs) and their impacts on the overall transportation infrastructure. An analytical model consisting of three components was developed and applied. Furthermore, the stability and instability of the proposed model were also analyzed. The developed model was then applied to the Florida Turnpike network as a test system.
• Format:
  PDF
• Funding:
  DTRT13-G-UTC51
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/32398/dot_32398_DS1.pdf
• File Type:
  [PDF - 206.33 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:370ed830edce72d0af944a0281085257748a03cf54777a3ceb082bc10ef9f323