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Simulation of a NOₓ Sensor for Model-Based Control of Exhaust Aftertreatment Systems

Title data

Ritter, Thomas ; Seibel, Maximilian ; Hofmann, Frank ; Weibel, Michel ; Moos, Ralf:
Simulation of a NOₓ Sensor for Model-Based Control of Exhaust Aftertreatment Systems.
In: Topics in Catalysis. Vol. 62 (2019) Issue 1-4 . - pp. 150-156.
ISSN 1572-9028
DOI: https://doi.org/10.1007/s11244-018-1102-3

Abstract in another language

Optimal control of the exhaust aftertreatment components is an important aspect for minimizing pollutants. Nitrogen oxides are therefore monitored using amperometric gas sensors. However, they show marked cross-sensitivities to ammonia, which can be disadvantageous, e.g., if they are applied in NH3 selective catalytic reduction systems. In this study, a model that simulates the operation of a NOx sensor is developed. The three oxygen pumping cells and the upstream diffusion barriers were implemented in a 1D geometry, with the relevant electrode reactions taking place over its length. The diffusion barriers were calculated quasi-stationary. The dynamics of incoming gas components as a function of the exhaust mass flow were integrated with a first order linear time invariant system. The problem was calculated using the convection–diffusion equation. The reaction kinetics were determined based on stationary measurements in laboratory atmosphere, whereby initially only the reaction with respect to NO and NO2 was considered. Then, the cross-sensitivities to oxygen, water and ammonia were examined. The developed data set could then be used for transient boundary conditions. The simulated and the measured sensor signals in the case of engine test bench conditions with real driving cycles agree very well.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > Chair Functional Materials > Chair Functional Materials - Univ.-Prof. Dr.-Ing. Ralf Moos
Profile Fields > Advanced Fields > Advanced Materials
Research Institutions > Research Centres > Bayreuth Center for Material Science and Engineering - BayMAT
Research Institutions > Research Units > BERC - Bayreuth Engine Research Center
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 25 Mar 2019 09:59
Last Modified: 25 Mar 2019 09:59
URI: https://eref.uni-bayreuth.de/id/eprint/48423