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Comparative Study of Different Methods for Soot Sensing and Filter Monitoring in Diesel Exhausts

Title data

Feulner, Markus ; Hagen, Gunter ; Hottner, Kathrin ; Redel, Sabrina ; Müller, Andreas ; Moos, Ralf:
Comparative Study of Different Methods for Soot Sensing and Filter Monitoring in Diesel Exhausts.
In: Sensors. Vol. 17 (2017) Issue 2 . - No. 400.
ISSN 1424-8220

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Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

Due to increasingly tighter emission limits for diesel and gasoline engines, especially concerning particulate matter emissions, particulate filters are becoming indispensable devices for exhaust gas after treatment. Thereby, for an efficient engine and filter control strategy and a cost-efficient filter design, reliable technologies to determine the soot load of the filters and to measure particulate matter concentrations in the exhaust gas during vehicle operation are highly needed. In this study, different approaches for soot sensing are compared. Measurements were conducted on a dynamometer diesel engine test bench with a diesel particulate filter (DPF). The DPF was monitored by a relatively new microwave-based approach. Simultaneously, a resistive type soot sensor and a Pegasor soot sensing device as a reference system measured the soot concentration exhaust upstream of the DPF. By changing engine parameters, different engine out soot emission rates were set. It was found that the microwave-based signal may not only indicate directly the filter loading, but by a time derivative, the engine out soot emission rate can be deduced. Furthermore, by integrating the measured particulate mass in the exhaust, the soot load of the filter can be determined. In summary, all systems coincide well within certain boundaries and the filter itself can act as a soot sensor.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: particulate matter; soot; DPF; microwave; cavity perturbation; filter monitoring; soot load determination; resistive soot sensor; integrating sensor; dosimeter
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 > ZET - Zentrum für Energietechnik
Research Institutions > Research Units > BERC - Bayreuth Engine Research Center
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: 27 Feb 2017 08:31
Last Modified: 17 Oct 2022 12:04