Facilitating electric propulsion of autonomous vehicles through efficient design of a charging-station network

For a vehicle to be truly autonomous, it needs to be propelled by a power type that does not require human effort to transfer the power into the vehicle manually. For this reason, electric propulsion is increasingly being considered as a viable and practical alternative to the internal combustion engine (ICE). Another benefit of electric propulsion is the reduction of vehicular emissions. Electric automated vehicles (EAVs) that have zero-occupancy can simply be sent to electric charging stations for recharge. This research proposes a framework for efficient design of a network of electric charging stations that can promote AVs. In this framework, the transportation planner seeks to gradually install electric charging stations at repurposed existing gas stations and/or at new locations. The framework considers the anticipation of an ICEV-to-AV transition phase where the existing gas stations will be decommissioned gradually in favor of electric charging stations. The framework will consider two trip-making scenarios: intracity trips that capture traffic congestion, and intercity trips that are characterized by long distances.

    Language

    • English

    Project

    • Status: Active
    • Funding: $150,000 (CCAT:$75,000 Delft U: $75,000)
    • Contract Numbers:

      69A3551747105

    • Sponsor Organizations:

      Department of Transportation

      Intelligent Transportation Systems Joint Program Office
      1200 New Jersey Avenue, SE
      Washington, DC  United States  20590
    • Managing Organizations:

      Center for Connected and Automated Transportation

      University of Michigan, Ann Arbor
      Ann Arbor, MI  United States  48109
    • Project Managers:

      Tucker-Thomas, Dawn

    • Performing Organizations:

      NEXTRANS

      Purdue University
      3000 Kent Avenue
      Lafayette, IN  United States  47906-1075
    • Principal Investigators:

      Labi, Samuel

      Miralinaghi, Mohammad

    • Start Date: 20190101
    • Expected Completion Date: 20191231
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers Program
    • Subprogram: Research

    Subject/Index Terms

    Filing Info

    • Accession Number: 01742587
    • Record Type: Research project
    • Source Agency: Center for Connected and Automated Transportation
    • Contract Numbers: 69A3551747105
    • Files: UTC, RiP
    • Created Date: Jun 18 2020 8:55AM