State Estimation in the Automotive SCR DeNOx Process
作者： Guofeng Zhou , John Bagterp Jørgensen , Christophe Duwig , Jakob Kjøbsted Huusom
DOI: 10.3182/20120710-4-SG-2026.00133
关键词:
摘要: Abstract Selective catalytic reduction (SCR) of nitrogen oxides ( NO x ) is a widely applied diesel engine exhaust gas after-treatment technology. For effective removal in transient operating automotive application, controlled dosing urea can be used to meet the increasingly restrictive legislations on emissions. advanced control, e.g. Model Predictive Control (MPC), SCR process, accurate state estimates are needed. We investigate performance ordinary and extended Kalman filters based simple first principle system model. The tested through series simulation studies reflecting realistic challenges such as under-modelling few composition sensors.
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