State Estimation in the Automotive SCR DeNOx Process

Guofeng Zhou, John Bagterp Jørgensen, Christophe Duwig, Jakob Kjøbsted Huusom

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


Selective catalytic reduction (SCR) of nitrogen oxides (NOx) is a widely applied diesel engine exhaust gas after-treatment technology. For effective NOx removal in a transient operating automotive application, controlled dosing of urea can be used to meet the increasingly restrictive legislations on exhaust gas emissions. For advanced control, e.g. Model Predictive Control (MPC), of the SCR process, accurate state estimates are needed. We investigate the performance of the ordinary and the extended Kalman filters based on a simple first principle system model. The performance is tested through a series of simulation studies reflecting realistic challenges such as under-modelling and few gas composition sensors.

Original languageEnglish
Title of host publicationProceedings of 8th IFAC Symposium on Advanced Control of Chemical Processes
Publication date2012
ISBN (Print)9783902823052
Publication statusPublished - 2012
Event8th IFAC Symposium on Advanced Control of Chemical Processes - Singapore, Singapore
Duration: 10 Jul 201213 Jul 2012


Conference8th IFAC Symposium on Advanced Control of Chemical Processes


  • State Estimation
  • Kalman Filtering
  • Nonlinear processes
  • SCR process

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