Reduced-Order models for a LNT-SCR Diesel After-treatment Architecture with NO/NO2 Differentiation

David Marie-Luce (1, 2) , Pierre-Alexandre Bliman (1) , Damiano Di-Penta (2) , Michel Sorine (1)

1 SISYPHE - SIgnals and SYstems in PHysiology & Engineering
2 Technocentre Renault [Guyancourt]

LNT and SCR are two leading candidates for Diesel exhaust nitrogen oxide (NOx) after-treatment. This paper deals with the modeling of the architecture combining the two systems in series with NO/NO2 differentiation, induced directly by the widening and hardening of the future standards. Model reduction is performed to allow for real-time automotive applications. Based on simplified chemistry and slow-fast dynamics assumptions, a complete reduced model is proposed, suitable for on-board diagnosis and model-based control. Validation has been achieved through extensive experiments.

Mots clés: Model Validation; Nonlinear System Identification

Domaines: Automatique / Robotique

David Marie-Luce, Pierre-Alexandre Bliman, Damiano Di-Penta, Michel Sorine. Reduced-Order models for a LNT-SCR Diesel After-treatment Architecture with NO/NO2 Differentiation. SYSID 2012 - 16th IFAC Symposium on System Identification, Jul 2012, Bruxelles, Belgium. pp.745-750, ⟨10.3182/20120711-3-BE-2027.00215⟩. ⟨hal-00761336⟩