Pressure Based Virtual Sensing of Transient Particulate Matter of CI Engines

Zhang, Zhen; Stadlbauer, Stephan; Waschl, Harald; Fuerhapter, Richard; Re, Luigi del

doi:10.4271/2015-01-1635

Cited by 5 publications

(5 citation statements)

References 11 publications

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“…As discussed in a previous paper, 21 the PCA of the eight segments can deliver a very large number of principal components. However, only 32 of them seem to be necessary to convey the combustion information.…”

Section: Combustion Information Extractionmentioning

confidence: 97%

“…Even large changes in soot will not significantly change the pressure trace; for example, it will be hard to extract information on soot from the overall trace. 21…”

Section: Combustion Information Extractionmentioning

confidence: 99%

“…Even large changes in soot will not significantly change the pressure trace; for example, it will be hard to extract information on soot from the overall trace. 21 The way out of the numerical problem is shown in Figure 4 for a single combustion. Instead of describing the pressure profile in terms of all recorded data points, we can describe it as a weighted combination of some ''basic shapes''.…”

Section: Combustion Information Extractionmentioning

confidence: 99%

“…However, it turns out that a segmentation of the trace solves the problem. 21 Figure 5 shows the proposed segmentation.…”

Section: Combustion Information Extractionmentioning

confidence: 99%

“…This approach can even capture the swirl valve setting. 21 The PCA delivers some factors, usually called features, which describe the significance of the basic shapes of each segment in its own reference system. We shall use these factors as starting points for our model.…”

Section: Introductionmentioning

confidence: 99%

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Real time soot models for production CI engines based on pressure trace information

Zhang

Waschl

Fuerhapter

et al. 2016

International Journal of Engine Research

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Better knowledge of the instantaneous soot and nitrogen oxides (NOx) emissions in Diesel engines would allow better choices of injection parameters and thus lead to better raw emissions than, for instance, with classical averaged measures, like smoke maps. Unfortunately, while for most regulated emissions fast measurements are possible and reasonably fast sensors are available, the same is not true for soot. Against this background, this paper proposes a real time, delay-free soot model based on the pressure trace information. The model essentially maps changes of the pressure trace into changes of the raw soot emissions. The key elements of the approach are the design of experiments, segmentation of the pressure trace and the use of the principal component analysis technique to extract the essential information. The model is based only on data; that is, it needs an initial calibration with working points measured with a standard device, such as an AVL Microsoot or Opacimeter. This paper describes the method and then shows validation results with an additional amount of pilot injection in one cylinder which confirms the delay-free soot estimation.

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Section: Combustion Information Extractionmentioning

confidence: 97%

“…Even large changes in soot will not significantly change the pressure trace; for example, it will be hard to extract information on soot from the overall trace. 21…”

Section: Combustion Information Extractionmentioning

confidence: 99%

Section: Combustion Information Extractionmentioning

confidence: 99%

“…However, it turns out that a segmentation of the trace solves the problem. 21 Figure 5 shows the proposed segmentation.…”

Section: Combustion Information Extractionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Real time soot models for production CI engines based on pressure trace information

Zhang

Waschl

Fuerhapter

et al. 2016

International Journal of Engine Research

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Vibration Based Virtual Sensing of Nitrogen Oxide Emission in CI Engines

Sahal

et al. 2021

Mechanisms and Machine Science

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Is Cylinder Pressure-Based Control Required to Meet Future HD Legislation?

Willems

2018

IFAC-PapersOnLine

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Pressure Based Virtual Sensing of Transient Particulate Matter of CI Engines

Cited by 5 publications

References 11 publications

Real time soot models for production CI engines based on pressure trace information

Real time soot models for production CI engines based on pressure trace information

Vibration Based Virtual Sensing of Nitrogen Oxide Emission in CI Engines

Is Cylinder Pressure-Based Control Required to Meet Future HD Legislation?

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