Automotive Selective Catalytic Reduction System Model-Based Estimators for On-ECU Implementation: A Brief Overview

Sie sind hier: Homepage > Suche

Automotive Selective Catalytic Reduction System Model-Based Estimators for On-ECU Implementation: A Brief Overview

Kihas, Dejan / Pekar, Jaroslav / Figura, Jiri / Uchanski, Michael / Khaled, Nassim / Srinivasan, Sriram

The amount of ammonia stored on the walls of the catalyst (or ammonia storage) is a parameter with significant impact on NOx reduction efficiency and undesired ammonia slip of Selective Catalytic Reduction catalysts. This makes the ammonia storage interesting for utilization in urea injection control. However, ammonia storage is not directly measurable onboard vehicles, it can only be estimated. Model-based online estimation requires models that are capable of capturing the main phenomena of the SCR and at the same time can be computed onboard vehicle. While the modeling of SCR and model-based control is well present in the literature, it is apparent that few attempts of implementing the models on production ECUs were published. This paper reviews literature on ammonia storage, outlet NH3 and NOx concentration estimation in SCR and SCR/DPF systems-including the estimation of NOx sensor cross-sensitive to NH3-in order to present the state of the art. The discussion includes applications of estimators (virtual sensors), accuracy of estimation, required inputs, computational demands, robustness and sources of error.

Zugriff

Zugriff prüfen

Verfügbarkeit in meiner Bibliothek prüfen

Bestellung bei Subito €

Exportieren, teilen und zitieren

Dokumentinformationen

Titel :

Automotive Selective Catalytic Reduction System Model-Based Estimators for On-ECU Implementation: A Brief Overview

Weitere Titelangaben:

Sae Technical Papers

Beteiligte:

Kihas, Dejan (Autor:in) / Pekar, Jaroslav (Autor:in) / Figura, Jiri (Autor:in) / Uchanski, Michael (Autor:in) / Khaled, Nassim (Autor:in) / Srinivasan, Sriram (Autor:in)

Kongress:

SAE 2016 World Congress and Exhibition ; 2016

Erschienen in:

Sae Technical Paper Series

Erscheinungsdatum :

2016-04-05

ISSN :

2688-3627 , 0148-7191

DOI :

https://doi.org/10.4271/2016-01-0972

Medientyp :

Aufsatz (Konferenz)