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柴油机尾气中碳烟传感与过滤器监测不同方法的比较研究

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

作者信息

Feulner Markus, Hagen Gunter, Hottner Kathrin, Redel Sabrina, Müller Andreas, Moos Ralf

机构信息

Bayreuth Engine Research Center (BERC), Department of Functional Materials, University of Bayreuth, 95447 Bayreuth, Germany.

出版信息

Sensors (Basel). 2017 Feb 18;17(2):400. doi: 10.3390/s17020400.

DOI:10.3390/s17020400
PMID:28218700
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5336101/
Abstract

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.

摘要

由于柴油和汽油发动机的排放限制日益严格,尤其是在颗粒物排放方面,颗粒过滤器正成为废气后处理中不可或缺的装置。因此,为了实现高效的发动机和过滤器控制策略以及经济高效的过滤器设计,迫切需要可靠的技术来确定过滤器的碳烟负荷,并在车辆运行期间测量废气中的颗粒物浓度。在本研究中,对不同的碳烟传感方法进行了比较。在配备柴油颗粒过滤器(DPF)的测功机柴油发动机试验台上进行了测量。通过一种相对较新的基于微波的方法对DPF进行监测。同时,一个电阻式碳烟传感器和一个作为参考系统的Pegasor碳烟传感装置测量了DPF上游排气中的碳烟浓度。通过改变发动机参数,设定了不同的发动机排出碳烟排放率。结果发现,基于微波的信号不仅可以直接指示过滤器的负荷,而且通过时间导数,可以推断出发动机排出碳烟的排放率。此外,通过对排气中测量的颗粒物质量进行积分,可以确定过滤器的碳烟负荷。总之,所有系统在一定范围内吻合良好,并且过滤器本身可以充当碳烟传感器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1af/5336101/06ee30bc780c/sensors-17-00400-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1af/5336101/7eb69c5965db/sensors-17-00400-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1af/5336101/c725ec27225f/sensors-17-00400-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1af/5336101/5da4497c7df0/sensors-17-00400-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1af/5336101/5ac7036218d5/sensors-17-00400-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1af/5336101/3b060e8f2e20/sensors-17-00400-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1af/5336101/a866c654a5c1/sensors-17-00400-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1af/5336101/5045d77d0f45/sensors-17-00400-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1af/5336101/049daf9c9956/sensors-17-00400-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1af/5336101/06ee30bc780c/sensors-17-00400-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1af/5336101/7eb69c5965db/sensors-17-00400-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1af/5336101/c725ec27225f/sensors-17-00400-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1af/5336101/5da4497c7df0/sensors-17-00400-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1af/5336101/5ac7036218d5/sensors-17-00400-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1af/5336101/3b060e8f2e20/sensors-17-00400-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1af/5336101/a866c654a5c1/sensors-17-00400-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1af/5336101/5045d77d0f45/sensors-17-00400-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1af/5336101/049daf9c9956/sensors-17-00400-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1af/5336101/06ee30bc780c/sensors-17-00400-g009.jpg

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本文引用的文献

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