An automated method for obtaining engine fuel consumption and efficiency models from road test data

Engine efficiency maps are a fundamental tool for estimating fuel consumption and CO2 emissions during vehicle driving, both for simulation analysis and for optimisation of vehicle control. They usually require extensive experimental work on engine test bench, in laboratory, with significant effort in terms of time and money. In this paper, a technique for mapping engine efficiency as a function of torque and engine speed is presented. The procedure includes on-road tests in release mode to estimate the longitudinal vehicle model, and the use of fuel mass rate sensors on board. The efficiency maps are then obtained via regression techniques. In this paper, the results obtained starting from on-road tests are presented, and an application to estimate fuel consumption in a hybridised car is discussed.

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Publication Details

Journal
International Journal of Powertrains
Published
2025-01-01
DOI
https://doi.org/10.1504/ijpt.2025.148462
Primary Topic
Vehicle emissions and performance
Type
article
Field-Weighted Citation Impact
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article

An automated method for obtaining engine fuel consumption and efficiency models from road test data

Gianfranco Rizzo, Francesco Antonio Tiano
International Journal of Powertrains
Vehicle emissions and performance
article

An automated method for obtaining engine fuel consumption and efficiency models from road test data

Gianfranco Rizzo, Francesco Antonio Tiano
article en

Abstract

Engine efficiency maps are a fundamental tool for estimating fuel consumption and CO2 emissions during vehicle driving, both for simulation analysis and for optimisation of vehicle control. They usually require extensive experimental work on engine test bench, in laboratory, with significant effort in terms of time and money. In this paper, a technique for mapping engine efficiency as a function of torque and engine speed is presented. The procedure includes on-road tests in release mode to estimate the longitudinal vehicle model, and the use of fuel mass rate sensors on board. The efficiency maps are then obtained via regression techniques. In this paper, the results obtained starting from on-road tests are presented, and an application to estimate fuel consumption in a hybridised car is discussed.

International Journal of PowertrainsVol. 14(2)
University of Salerno (IT)
Openalex Percentile: Top 73%
Vehicle emissions and performance
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