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An estimation of the effect of turbulence from the natural wind and traffic on the cycle-averaged-drag coefficient

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conference contribution
posted on 2022-06-28, 09:21 authored by Jeff Howell, Martin Passmore, Daniel ButcherDaniel Butcher
A drag coefficient, which is representative of the drag of a car undergoing a particular drive cycle, known as the cycle-averaged-drag coefficient, has been previously developed. It was derived for different drive cycles using mean values for the natural wind. It assumed terrain dependent wind velocities based on the Weibull function, equi-probable wind direction and shear effects. It did not, however, include any effects of turbulence in the natural wind. Some recent research using active vanes in the wind tunnel to generate turbulence has suggested that the effect on drag can be evaluated from the quasi steady wind inputs. On this basis a simple quasi-steady theory for the effect of turbulence on car drag is developed and applied to predicting the cycle-averaged-drag coefficient for a range of cars of different types. The drag is always increased by the turbulence but in all cases is relatively small. Turbulence is also present when driving in traffic, but traffic also introduces a velocity deficit, which reduces drag. By making certain assumptions about traffic flow, a crude traffic model is developed and the impact of traffic on the cycle-averaged-drag has been derived. It is found that the combination of natural wind turbulence and the effects of traffic results in very small changes to the cycle-averaged-drag coefficient.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

SAE Technical Papers

Issue

2022

Source

SAE World Congress Experience

Publisher

SAE International

Version

  • AM (Accepted Manuscript)

Rights holder

© SAE International

Publisher statement

This paper was accepted for publication in SAE Technical Papers and the definitive published version is available at https://doi.org/10.4271/2022-01-0896

Acceptance date

2022-01-18

Publication date

2022-03-29

Copyright date

2022

ISSN

0148-7191

eISSN

2688-3627

Language

  • en

Location

Detroit, Michigan, USA

Event dates

5th April 2022 - 7th April 2022

Depositor

Dr Daniel Butcher. Deposit date: 23 June 2022

Article number

2022-01-0896

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