Model-based control strategies are important for meeting the dual objective of maximizing NOx reduction and minimizing NH3 slip in urea-SCR (Selective Catalytic Reduction) catalysts. To be implementable on the vehicle, the models should capture the essential behavior of the system, while not being computationally intensive. This paper discusses the adequacy of two different reduced order SCR catalyst models and compares their performance with a higher order model. The higher order model assumes that the catalyst has both diffusion and reaction kinetics, whereas the reduced order models contain only reaction kinetics. After describing each model, its parameter identification and model validation based on experiments on a Navistar I6 7.6L engine are presented. The adequacy of reduced order models is demonstrated by comparing the NO, NO2 and NH3 concentrations predicted by the models to their concentrations from the test data. It is observed that the 4 state model is a good representative of the physical system and is sufficient for model based control in urea-SCR aftertreatment systems.
Adequacy of reduced order models for model-based control in a urea-SCR aftertreatment system
Angemessenheit von Modellen geringerer Ordnung für die modellbasierte Regelung in einem Harnstoff-SCR-Nachbehandlungssystem
2008
17 Seiten, 19 Bilder, 7 Tabellen, 17 Quellen
Aufsatz (Konferenz)
Englisch
Adequacy of Reduced Order Models for Model-Based Control in a Urea-SCR Aftertreatment System
SAE Technical Papers | 2008
|Adequacy of reduced order models for model-based control in a urea-SCR aftertreatment system
Kraftfahrwesen | 2008
|Adequacy of Reduced Order Models for Model-Based Control in a Urea-SCR Aftertreatment System
British Library Conference Proceedings | 2008
|British Library Conference Proceedings | 2008
|Model-Based Estimation and Control System Development in a Urea-SCR Aftertreatment System
SAE Technical Papers | 2008
|