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Proceedings 2018, 2(13), 1101; https://doi.org/10.3390/proceedings2131101

Sensing Catalytic Converters and Filters at Work Using Radio Frequencies

Bayreuth Engine Research Center (BERC), Department of Functional Materials, University of Bayreuth, 95447 Bayreuth, Germany
Presented at the Eurosensors 2018 Conference, Graz, Austria, 9–12 September 2018.
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Published: 18 December 2018
(This article belongs to the Proceedings of Eurosensors 2018)
PDF [205 KB, uploaded 18 December 2018]

Abstract

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.
Keywords: On-board diagnostics (OBD); Exhaust gas aftertreatment; Microwave cavity perturbation; Radio frequency sensor; Selective catalytic reduction (SCR); SCR ammonia storage; Three-way catalyst (TWC); Oxygen storage (OSC); Lambda probe; Particulate filter (DPF; GPF) On-board diagnostics (OBD); Exhaust gas aftertreatment; Microwave cavity perturbation; Radio frequency sensor; Selective catalytic reduction (SCR); SCR ammonia storage; Three-way catalyst (TWC); Oxygen storage (OSC); Lambda probe; Particulate filter (DPF; GPF)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Moos, R.; Walter, S.; Steiner, C.; Hagen, G. Sensing Catalytic Converters and Filters at Work Using Radio Frequencies. Proceedings 2018, 2, 1101.

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