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A Data-Based Simulator for Predicting Vehicle Fuel Consumption
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English
Abstract
A hybrid system, combining on-road testing and statistical modeling, has been developed which permits calculation of a vehicle's fuel consumption over any driving cycle. An instrumentation system permits collection of the necessary on-road and laboratory test data within a relatively short period of time and, once calibrated, the model requires considerably less CPU time for execution than engineering simulation models while providing results within 5% of on-road measured fuel uses. The model has been run in conjunction with optimization routines for deriving minimum fuel use strategies for a variety of common driving maneuvers. Results for a 1979 Ford Fairmont wagon are given.
Authors
- Axel B. Rose - Transportation Energy Group Energy Division Oak Ridge National Laboratory Oak Ridge, TN
- John N. Hooker - Transportation Energy Group Energy Division Oak Ridge National Laboratory Oak Ridge, TN
- Glenn F. Roberts - Transportation Energy Group Energy Division Oak Ridge National Laboratory Oak Ridge, TN
- Jeffrey Hodgson
Topic
Citation
Rose, A., Hooker, J., Roberts, G., and Hodgson, J., "A Data-Based Simulator for Predicting Vehicle Fuel Consumption," SAE Technical Paper 820302, 1982, https://doi.org/10.4271/820302.Also In
References
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- U.S. Department of Energy “Routes to Fuel Economy,” Office of Conservation and Solar Applications Washington, D.C.
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- Waters W. C. “General Purpose Automotive Vehicle Performance and Economy Simulator,” SAE Paper 720043 as it appears in 1972 Transactions 81
- Schwarzkopf A. B. Leipnik R. B. “Control of Highway Vehicles for Minimum Fuel Consumption over Varying Terrain,” Transportation Research 11 279 286 1977
- Hooker J. N. Rose A. B. Roberts G. F. “A Holistic Approach to Vehicle Simulation,” Oak Ridge National Laboratory, submitted for publication 1981
- Hooker J. N. Rose A. B. Roberts G. F. “Optimal Control of Automobiles for Fuel Economy,” Oak Ridge National Laboratory, submitted for publication 1981