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A Simple Model of Cyclic Variation
Technical Paper
2012-32-0003
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
A simple model to simulate cycle-by-cycle variation that is
suitable for use in Monte-Carlo approaches has been developed and
validated with a wide range of experimental data. The model is
intended to be diagnostic rather than predictive in nature, with a
goal of providing realistic in-cylinder pressures. The
individual-cycle cumulative rate of heat release was curve fit with
a four-parameter Wiebe function. It was found that the distribution
of the Wiebe b-parameter was quite small, so its value was obtained
from the ensemble-averaged condition. The remaining three Wiebe
function parameters, θig, θcomb and m were
found to be distributed over a moderate range, and were linearly
correlated to each other. Using the cumulative density function of
θig, and the linear fit of θcomb and m to
θig, with a random component added, a Monte-Carlo scheme
was developed. The resulting randomly chosen cycles were found to
adequately reproduce the observed cyclic variation at the same
condition, and can be used with higher-order models to assess the
impact of cyclic variations on other cylinder-pressure-driven
phenomena.
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Citation
Kim, K. and Ghandhi, J., "A Simple Model of Cyclic Variation," SAE Technical Paper 2012-32-0003, 2012, https://doi.org/10.4271/2012-32-0003.Also In
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