Sensing Catalytic Converters and Filters at Work Using Radio Frequencies

Title data

Moos, Ralf ; Walter, Stefanie ; Steiner, Carsten ; Hagen, Gunter:
Sensing Catalytic Converters and Filters at Work Using Radio Frequencies.
In: Proceedings. Vol. 2 (2018) Issue 13 . - No. 1101.
ISSN 2504-3900
DOI: https://doi.org/10.3390/proceedings2131101

Official URL:

Abstract in another language

The state of catalysts and filters plays a key role in automotive exhaust gas aftertreatment. The soot or ash loading of particulate filters (GPF or DPF), the oxygen loading of three-way catalysts (TWC), the amount of stored ammonia in SCR catalysts, or the NOx loading degree in NOx storage catalysts (NSC) are important parameters. Today, they are determined indirectly based on models that are calibrated by gas or pressure sensors in the exhaust pipe. This contribution overviews a novel approach that determines directly the state of the devices by a radio frequency based technique. For that purpose, the housing of the devices serves as a cavity resonator. As “sensing” element, one or two simple antennas are mounted in the catalyst canning. This contactless-obtained information correlates very well with the catalyst or filter state.

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 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
Result of work at the UBT:	Yes
DDC Subjects:	600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited:	09 Jan 2019 08:39
Last Modified:	09 Jan 2019 08:39
URI:	https://eref.uni-bayreuth.de/id/eprint/46813