2014•International Journal of Vehicle DesignRequires access

VEHICLE CHARACTERIZATION AND FUEL CONSUMPTION PREDICTION USING MAPS AND POWER DEMAND MODELS

K Post, John Harvey Kent, John A. Tomlin, N. Carruthers

Open publisher page 12 citations

Abstract

A sample of 177 currently used Australian light duty vehicles have been dynamometer tested and averaged vehicle maps of fuel consumption and emissions are presented. These maps show emission rates and fuel consumption as a function of vehicle velocity and acceleration. The use of vehicle maps as a diagnostic tool to characterise vehicle behaviour is also demonstrated. A two–parameter vehicle power demand model is developed which predicts road (or dynamometer) vehicle fuel consumption, hydrocarbon and oxides of nitrogen emission rates for any desired velocity profile. For trips of moderate length (> 10 km) the fuel usage estimates are correct to within 2 per cent. Short trip estimates (I km or less) are correct to within 9 per cent. A power demand model correction matrix is presented which is used to predict fuel usage for short trips (100m or less). This matrix adjusts the basic power demand model for vehicle inefficiencies at low speed due to gear and automatic transmission losses.

About this research paper

What this paper is about

A sample of 177 currently used Australian light duty vehicles have been dynamometer tested and averaged vehicle maps of fuel consumption and emissions are presented. These maps show emission rates and fuel consumption as a function of vehicle velocity and acceleration. The use of vehicle maps as a diagnostic tool to characterise vehicle behaviour is also demonstrated. A two–parameter vehicle power demand model is developed which predicts road (or dynamometer) vehicle fuel consumption, hydrocarbon and oxides of nitrogen emission rates for any desired velocity profile. For trips of moderate length (> 10 km) the fuel usage estimates are correct to within 2 per cent. Short trip estimates (I km or less) are correct to within 9 per cent. A power demand model correction matrix is presented which is used to predict fuel usage for short trips (100m or less). This matrix adjusts the basic power demand model for vehicle inefficiencies at low speed due to gear and automatic transmission losses.

Why it matters

OpenAlex reports 12 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A sample of 177 currently used Australian light duty vehicles have been dynamometer tested and averaged vehicle maps of fuel consumption and emissions are presented. These maps show emission rates and fuel consumption as a function of vehicle velocity and acceleration. The use of vehicle maps as a diagnostic tool to characterise vehicle behaviour is also demonstrated. A two–parameter vehicle power demand model is developed which predicts road (or dynamometer) vehicle fuel consumption, hydrocarbon and oxides of nitrogen emission rates for any desired velocity profile. For trips of moderate length (> 10 km) the fuel usage estimates are correct to within 2 per cent. Short trip estimates (I km or less) are correct to within 9 per cent. A power demand model correction matrix is presented which is used to predict fuel usage for short trips (100m or less). This matrix adjusts the basic power demand model for vehicle inefficiencies at low speed due to gear and automatic transmission losses.

Key concepts: Dynamometer, Fuel efficiency, Automotive engineering, Engineering, Engine power, Sample (material), Acceleration, Power (physics)

Related papers

Back to paper searchBrowse research topicsOriginal source
VEHICLE CHARACTERIZATION AND FUEL CONSUMPTION PREDICTION USING MAPS AND POWER DEMAND MODELS — Research Paper | ScholarLens