A Novel Statistical Model for the Evaluation of Vehicle Emission Factors. Application to a Euro III Gasoline Car Fleet CNR Istituto Motori

Format:

Conference/Event

Author/Creator:

Rapone, Rapone, author.

Contributor:

Costagliola, M. A.

Della Ragione, L.

Meccariello, G.

Prati, M. V.

Conference Name:

7th International Conference on Engines for Automobile (2005-09-11 : Naples, Italy)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Naples, ITALY Consiglio Nazionale delle Ricerche 2005

Summary:

A novel model has been developed for the analysis and the evaluation of average vehicle emissions in a real driving cycle (emission factors) from data in an emission database. The model assumes that emission variation can be explained by parameters determined from dynamic vehicle equation and by the frequency of acceleration events at different speeds. Because the number of resulting X-variables is large, and variables are correlated, a regression method based on principal components, the Partial Least Squares (PLS) method actually, has been adopted. In this paper, model potentiality is illustrated by an application to a case study taken from the database built within the UE V Framework Project ARTEMIS. Data are relative to tests performed under hot conditions with a sample of EURO III 1.4-2.0 l gasoline passenger cars. A set of real driving cycles was utilized as representative of urban, rural and motorway operating conditions detected in different European countries. Results for PLS model fit are good for CO\d2, less than sufficient for CO, HC and NOX; this last result, mostly due to data spread out, is analyzed in the paper by estimating the percentage vehicle's effect

Notes:

Vendor supplied data

Publisher Number:

2005-24-024

Access Restriction:

Restricted for use by site license