Comparative Study of Different Methods for Soot Sensing and Filter Monitoring in Diesel Exhausts
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 f...
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MDPI AG
2017-02-01
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Series: | Sensors |
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Online Access: | http://www.mdpi.com/1424-8220/17/2/400 |
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author | Markus Feulner Gunter Hagen Kathrin Hottner Sabrina Redel Andreas Müller Ralf Moos |
author_facet | Markus Feulner Gunter Hagen Kathrin Hottner Sabrina Redel Andreas Müller Ralf Moos |
author_sort | Markus Feulner |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-11T11:00:47Z |
format | Article |
id | doaj.art-5134530f5137449cb0363570d4786cb1 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-11T11:00:47Z |
publishDate | 2017-02-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-5134530f5137449cb0363570d4786cb12022-12-22T04:28:37ZengMDPI AGSensors1424-82202017-02-0117240010.3390/s17020400s17020400Comparative Study of Different Methods for Soot Sensing and Filter Monitoring in Diesel ExhaustsMarkus Feulner0Gunter Hagen1Kathrin Hottner2Sabrina Redel3Andreas Müller4Ralf Moos5Bayreuth Engine Research Center (BERC), Department of Functional Materials, University of Bayreuth, 95447 Bayreuth, GermanyBayreuth Engine Research Center (BERC), Department of Functional Materials, University of Bayreuth, 95447 Bayreuth, GermanyBayreuth Engine Research Center (BERC), Department of Functional Materials, University of Bayreuth, 95447 Bayreuth, GermanyBayreuth Engine Research Center (BERC), Department of Functional Materials, University of Bayreuth, 95447 Bayreuth, GermanyBayreuth Engine Research Center (BERC), Department of Functional Materials, University of Bayreuth, 95447 Bayreuth, GermanyBayreuth Engine Research Center (BERC), Department of Functional Materials, University of Bayreuth, 95447 Bayreuth, GermanyDue 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.http://www.mdpi.com/1424-8220/17/2/400particulate mattersootDPFmicrowavecavity perturbationfilter monitoringsoot load determinationresistive soot sensorintegrating sensordosimeter |
spellingShingle | Markus Feulner Gunter Hagen Kathrin Hottner Sabrina Redel Andreas Müller Ralf Moos Comparative Study of Different Methods for Soot Sensing and Filter Monitoring in Diesel Exhausts Sensors particulate matter soot DPF microwave cavity perturbation filter monitoring soot load determination resistive soot sensor integrating sensor dosimeter |
title | Comparative Study of Different Methods for Soot Sensing and Filter Monitoring in Diesel Exhausts |
title_full | Comparative Study of Different Methods for Soot Sensing and Filter Monitoring in Diesel Exhausts |
title_fullStr | Comparative Study of Different Methods for Soot Sensing and Filter Monitoring in Diesel Exhausts |
title_full_unstemmed | Comparative Study of Different Methods for Soot Sensing and Filter Monitoring in Diesel Exhausts |
title_short | Comparative Study of Different Methods for Soot Sensing and Filter Monitoring in Diesel Exhausts |
title_sort | comparative study of different methods for soot sensing and filter monitoring in diesel exhausts |
topic | particulate matter soot DPF microwave cavity perturbation filter monitoring soot load determination resistive soot sensor integrating sensor dosimeter |
url | http://www.mdpi.com/1424-8220/17/2/400 |
work_keys_str_mv | AT markusfeulner comparativestudyofdifferentmethodsforsootsensingandfiltermonitoringindieselexhausts AT gunterhagen comparativestudyofdifferentmethodsforsootsensingandfiltermonitoringindieselexhausts AT kathrinhottner comparativestudyofdifferentmethodsforsootsensingandfiltermonitoringindieselexhausts AT sabrinaredel comparativestudyofdifferentmethodsforsootsensingandfiltermonitoringindieselexhausts AT andreasmuller comparativestudyofdifferentmethodsforsootsensingandfiltermonitoringindieselexhausts AT ralfmoos comparativestudyofdifferentmethodsforsootsensingandfiltermonitoringindieselexhausts |