An algorithm for determining the four tuning parameters in a double-Wiebe description of the combustion process in spark-assisted compression ignition engines is presented where the novelty is that the tuning problem is posed as a weighted linear least-squares problem. The approach is applied and shown to describe well an extensive data set from a light-duty gasoline engine for various engine speeds and loads. Correlations are suggested for the four parameters based on the results, which illustrates how the double-Wiebe approach can also be utilized in a predictive simulation. The effectiveness of the methodology is quantified by the accuracy for describing and predicting the heat release rate and predicting the cylinder pressure. The root-mean square errors between the measured and predicted cylinder pressures are 1bar or less, which corresponds to 2% or less of the peak cylinder pressure.
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September 2014
Research-Article
A Linear Least-Squares Algorithm for Double-Wiebe Functions Applied to Spark-Assisted Compression Ignition
Li Jiang
Li Jiang
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Erik Hellström
Anna Stefanopoulou
Li Jiang
Contributed by the Combustion and Fuels Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received February 15, 2014; final manuscript received February 16, 2014; published online May 5, 2014. Editor: David Wisler.
J. Eng. Gas Turbines Power. Sep 2014, 136(9): 091514 (7 pages)
Published Online: May 5, 2014
Article history
Received:
February 15, 2014
Revision Received:
February 16, 2014
Citation
Hellström, E., Stefanopoulou, A., and Jiang, L. (May 5, 2014). "A Linear Least-Squares Algorithm for Double-Wiebe Functions Applied to Spark-Assisted Compression Ignition." ASME. J. Eng. Gas Turbines Power. September 2014; 136(9): 091514. https://doi.org/10.1115/1.4027277
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