Managing EV Fleets to deliver humans, goods, and electricity

The research team will develop a decision-making tool to facilitate EV fleet management at scale. The proposed framework consumes various data sets such as individual EV’s historical driving patterns and energy needs, energy profiles of buildings that are hosting charging infrastructure, and weather and traffic predictions. This data will be mapped onto electric and transportation graphs and will used to continuously determine charging and discharging decisions at fleet and individual EV levels.

• Record URL:
  https://ppms.cit.cmu.edu/projects/detail/388

Language

• English

Project

• Status: Completed
• Funding: $282679
• Contract Numbers:

  69A3551747111

• Sponsor Organizations:

  Carnegie Mellon University

  Mobility21 National USDOT UTC for Mobility of Goods and People
  Pittsburgh, PA  United States  15213

  Office of the Assistant Secretary for Research and Technology

  University Transportation Center Program
  ,    
• Managing Organizations:

  Carnegie Mellon University

  Mobility21 National USDOT UTC for Mobility of Goods and People
  Pittsburgh, PA  United States  15213
• Project Managers:

  Kline, Robin

• Performing Organizations:

  Carnegie Mellon University

  ,    
• Principal Investigators:

  Yagan, Osman

• Start Date: 20220701
• Expected Completion Date: 20230630
• Actual Completion Date: 20230731
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Decision making; Electric vehicle charging; Electric vehicles; Vehicle fleets
• Subject Areas: Energy; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01848344
• Record Type: Research project
• Source Agency: National University Transportation Center for Improving Mobility (Mobility21)
• Contract Numbers: 69A3551747111
• Files: UTC, RIP
• Created Date: Jun 10 2022 3:25PM