Abstract

Nowadays, In-Cylinder Pressure Sensors (ICPS) have become a mainstream technology that promises to change the way the enginecontrol is performed. Among all the possible applications, the prediction of raw (engine-out) NOX emissions would allow to eliminate the NOX sensor currently used to manage the aftertreatment systems. In the current study, a semi-physical model already existing in literature for the prediction of engine-out nitric oxide emissions based on in-cylinder pressure measurement has been improved; in particular, the main focus has been to improve nitric oxide prediction accuracy when injection timing is varied. The main modification introduced in the model lies in taking into account the turbulence induced by fuel spray and enhanced by in-cylinder bulk motion. The effectiveness of the new model has been tested with data acquired during an extensive experimental campaign during which a 2.0l 4 cylinders Diesel engine, whose after-treatment system allows to fulfil the EU6 legislation limits, has been operated on the overall engine map. It is shown that, comparing measured and estimated NOX on a wide range of engine settings, the improved model is quite effective in capturing the effect of injection timing on engine-out NOX emissions: the average error between measured and estimated NOX is reduced of about 10% while the correlation coefficient is increased from 0.86 to 0.97.

Autore Pugliese

• Carlucci Antonio Paolo

Tutti gli autori

• Carlucci A.P. , Benegiamo M. , Camporeale S. , Ingrosso D.

Titolo volume/Rivista

Non Disponibile

Anno di pubblicazione

2017

ISSN

Non Disponibile

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

Non Disponibile

Numero di citazioni Scopus

1

Ultimo Aggiornamento Citazioni

28/04/2018

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile