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Particulate Matter Classification in Filtration and Regeneration-Plant Modeling for SiL and HiL Environment
ISSN: 1946-3936, e-ISSN: 1946-3944
Published March 28, 2017 by SAE International in United States
Citation: Wurzenberger, J., Triebl, C., Kutschi, S., and Poetsch, C., "Particulate Matter Classification in Filtration and Regeneration-Plant Modeling for SiL and HiL Environment," SAE Int. J. Engines 10(4):1749-1764, 2017, https://doi.org/10.4271/2017-01-0970.
The present work describes an existing transient, non-isothermal 1D+1D particulate filter model to capture the impact of different types of particulate matter (PM) on filtration and regeneration. PM classes of arbitrary characteristics (size, composition etc.) are transported and filtered following standard mechanisms. PM deposit populations of arbitrary composition and contact states are used to describe regeneration on a micro-kinetical level. The transport class and deposit population are linked by introducing a splitting deposit matrix. Filtration and regeneration modes are compared to experimental data from literature and a brief numerical assessment on the filtration model is performed. The filter model as part of an exhaust line is used in a concept study on different coating variants. The same exhaust line model is connected to an engine thermodynamic and vehicle model. This system model is run through a random drive cycle in office simulation. The real-time capability of the model is proven by running the whole model on an ETAS hardware-in-the-loop (HiL) environment. This type of system model and its application on HiL support the assessment of real driving emissions (RDE) by means of simulation.