Impacts of driving patterns on tank-to-wheel energy use of plug-in hybrid electric vehicles

The authors evaluate the implications of a range of driving patterns on the tank-to-wheel energy use of plug-in hybrid electric vehicles. The driving patterns, which reflect short distance, low speed, and congested city driving to long distance, high speed, and uncongested highway driving, are estimated using an approach that involves linked traffic assignment and vehicle motion models. The authors find substantial variation in tank-to-wheel energy use of plug-in hybrid electric vehicles across driving patterns. Tank-to-wheel petroleum energy use on a per kilometer basis is lowest for the city and highest for the highway driving, with the opposite holding for a conventional internal combustion engine vehicle.

• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1361920911001568
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Authors:
  • Raykin, Leon
  • Roorda, Matthew J
  • MacLean, Heather L
• Publication Date: 2012-5

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 243-250
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 17
  • Issue Number: 3
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Automobile driving; Computer models; Energy consumption; Plug-in hybrid vehicles; Traffic assignment
• Uncontrolled Terms: Driving patterns
• Subject Areas: Energy; Highways; Planning and Forecasting; Vehicles and Equipment; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01367444
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Apr 10 2012 3:16PM