Mechanistic Excess Fuel Consumption of a 3D Passenger Vehicle on Rough Pavements
Publication: Journal of Transportation Engineering, Part B: Pavements
Volume 149, Issue 1
Abstract
A passenger vehicle’s fuel-powered engine compensates for its dissipated energy, which is caused by road roughness. This paper presents an integrated vehicle–pavement approach and investigates the excess fuel consumption of a seven-degree-of-freedom (DOF) full-car model on rough pavements. In the approach, a nonstationary Laplace process is used to artificially generate road roughness profiles with consideration of local roughness variance and parallel roughness correlation. The proposed mechanistic approach quantifies the impact of road roughness and vehicle dynamic characteristics on excess fuel consumption. The study concluded that overlooking local roughness variance, an indicator of road roughness nonstationarity, may underestimate excess fuel consumption by 30%. Compared with a two-dimensional (2D) half-car model, a three-dimensional (3D) full-car model reduces computation error of excess fuel consumption by approximately 11%. For practical implementation, the extended roughness-speed-impact (ERSI) model () is developed to estimate roughness-induced energy dissipation of five two-axle vehicles.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request:
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Raw simulation data (available upon request), and
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Models (provided in this paper).
Acknowledgments
The authors are representatives of Illinois Center for Transportation (ICT). The contents of this paper reflect the view of the authors, who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official view or policies of ICT. This paper does not constitute a standard, specifications, or regulations.
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Received: Feb 18, 2021
Accepted: Sep 15, 2022
Published online: Nov 11, 2022
Published in print: Mar 1, 2023
Discussion open until: Apr 11, 2023
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