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Comparison of Fuel Economy over Different Drive Cycles Each Having the Same Average Speed

  • University of Warwick

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The fuel economy of a vehicle is known to be highly dependent on its average speed during driving, with a maximum in fuel economy being present at around 40-50mph. Comparatively little work has been done on the investigation of how fuel economy varies for the same average speed. In this paper we report a theoretical simulation study of nine drive cycles each having the same average speed. The fuel economy for a typical C-segment vehicle varied from 37.3 to 74.4mpg for the nine drive cycles studied. Of the various metrics considered, standard deviation of speed, appears to be the most promising to explain the range of fuel economy. The results have important implications for transport planners, local authorities and national governments who rely on emissions predictions derived from vehicle average speeds. This research highlights the issues associated with this approach.

Original languageEnglish
Title of host publicationApplied Human Factors and Ergonomics International
PublisherAHFE Conference
Number of pages9
ISBN (Electronic)9781495120992
DOIs
Publication statusPublished - 2022
Externally publishedYes

Publication series

NameApplied Human Factors and Ergonomics International
Volume17
ISSN (Electronic)2771-0718

Bibliographical note

Publisher Copyright:
© 2022, AHFE International. All rights reserved.

Funding

The authors gratefully acknowledge the support of EPSRC through the Warwick Innovative Manufacturing Research Centre which supported the collection of the real world data. This work was supported by the High Value Manufacturing Catapult centre at WMG, the University of Warwick, UK.

Funders
Engineering and Physical Sciences Research Council
University of Warwick
University of Warwick

Keywords

  • Driver Behaviour
  • Fuel Economy
  • Powertrain Simulation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Management Science and Operations Research
  • Engineering (miscellaneous)
  • Safety, Risk, Reliability and Quality

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