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Catalyst State Diagnosis of Three-Way Catalytic Converters Using Different Resonance Parameters : A Microwave Cavity Perturbation Study

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00004682
URN to cite this document: urn:nbn:de:bvb:703-epub-4682-8

Title data

Steiner, Carsten ; Malashchuk, Vladimir ; Kubinski, David ; Hagen, Gunter ; Moos, Ralf:
Catalyst State Diagnosis of Three-Way Catalytic Converters Using Different Resonance Parameters : A Microwave Cavity Perturbation Study.
In: Sensors. Vol. 19 (2019) Issue 16 . - No. 3559.
ISSN 1424-8220
DOI der Verlagsversion: https://doi.org/10.3390/s19163559

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Abstract

Recently, radio frequency (RF) technology was introduced as a tool to determine the oxygen storage level of a three-way catalyst (TWC) for gasoline vehicles. Previous studies on the investigation of commercial catalysts mostly use only the resonant frequency to describe the correlation of oxygen storage level and RF signal. For the first time this study presents a comparison under defined laboratory conditions considering both, resonance frequency and also the quality factor as measurands. Furthermore, various advantages over the sole use of the resonant frequency in the technical application are discussed. Experiments with Ø4.66" catalysts and Ø1.66" catalyst cores with alternating (rich/lean) gas compositions showed that the relative change in signal amplitude due to a change in oxygen storage is about 100 times higher for the inverse quality factor compared to the resonant frequency. In addition, the quality factor reacts more sensitively to the onset of the oxygen-storage ability, and delivers precise information about the necessary temperature, which is not possible when evaluating the resonant frequency due to the low signal amplitude. As investigations on aged catalysts confirm, the quality factor also provides a new approach to determine operando the ageing state of a TWC.

Further data

Item Type: Article in a journal
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
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
Faculties
Faculties > Faculty of Engineering Science > Chair Functional Materials
Profile Fields
Profile Fields > Advanced Fields
Research Institutions
Research Institutions > Research Centres
Research Institutions > Research Units
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-4682-8
Date Deposited: 27 Mar 2020 10:30
Last Modified: 27 Mar 2020 10:31
URI: https://epub.uni-bayreuth.de/id/eprint/4682

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