An Agent-based Travel and Charging Behavior Model for Forecasting High-resolution Spatio-temporal Battery Electric Vehicle Charging Demand

The novelties of this work are twofold. First, the research team proposes an agent-based battery electric vehicle charging demand simulation model integrating travel and charging behaviors, which is able to estimate the high-resolution spatio-temporal distribution of charging demand. Second, the team constructs a novel charging behavior model for charging mode choice, which is able to capture non-linear changes in random utility, and the impact on charging choice of various factors, namely risk sensitivity, range buffer, and preference for charging rate. It focuses on the modeling and forecasting of renewable energy consumption in transportation sector, which could be directly applied in the optimal design of energy supply system and the modeling framework allows it to be generally adopted for broad application.

Language

  • English

Project

  • Status: Active
  • Funding: $15326
  • Contract Numbers:

    69A3551747119

  • 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:

    Office of the Assistant Secretary for Research and Technology

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

    Kline, Robin

  • Performing Organizations:

    Center for Transportation, Environment, and Community Health

    Cornell University
    Ithaca, NY  United States  14853
  • Principal Investigators:

    Gao, H

  • Start Date: 20210521
  • Expected Completion Date: 20210820
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01776047
  • Record Type: Research project
  • Source Agency: Center for Transportation, Environment, and Community Health
  • Contract Numbers: 69A3551747119
  • Files: UTC, RIP
  • Created Date: Jul 6 2021 12:54PM