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Impedimetric NOx sensor for exhaust applications with internal lambda correction

Title data

Herrmann, Julia ; Hagen, Gunter ; Kita, Jaroslaw ; Noack, Frank ; Bleicker, Dirk ; Moos, Ralf:
Impedimetric NOx sensor for exhaust applications with internal lambda correction.
Event: SMSI Sensor and Measurement Science International, Virtual Conference , 03-06 May 2021 , Nuremberg, Germany.
(Conference item: Conference , Speech )
DOI: https://doi.org/10.5162/SMSI2021/B2.3

Official URL: Volltext

Abstract in another language

Due to current developments in the automotive industry, more attention has to be paid to exhaust aftertreatment. Robust and cost-effective sensors for monitoring and controlling the exhaust aftertreatment systems are required, especially for NOx detection. We suggest an impedimetric NOx sensor which is fully manufactured in planar thick film technology. The impedance of a functional layer (KMnO4 supported on Al2O3) reacts selectively to the NOx concentration in the exhaust. However, this mechanism depends on the air-fuel-ratio (Lambda). For this reason, a resistive O2-sensitive functional layer (BFT) is additionally applied to the sensor element. Using this signal of the O2-sensitive functional layer, the existing lambda can be determined and thus the lambda dependency of the NOx-sensitive functional layer can be corrected.

Further data

Item Type: Conference item (Speech)
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: 10 May 2021 12:04
Last Modified: 10 May 2021 12:04
URI: https://eref.uni-bayreuth.de/id/eprint/65121