Reactors, Kinetics, and Catalysis

Fundamentals-based low-dimensional combustion modeling of spark-ignited internal combustion engines

  1. Pankaj Kumar1,
  2. Matthew Franchek2,
  3. Karolos Grigoriadis2,
  4. Vemuri Balakotaiah1,*

Article first published online: 15 NOV 2010

DOI: 10.1002/aic.12447

Issue

AIChE Journal

AIChE Journal

Volume 57, Issue 9, pages 2472–2492, September 2011

Additional Information

How to Cite

Kumar, P., Franchek, M., Grigoriadis, K. and Balakotaiah, V. (2011), Fundamentals-based low-dimensional combustion modeling of spark-ignited internal combustion engines. AIChE J., 57: 2472–2492. doi: 10.1002/aic.12447

Author Information

  1. 1

    Dept. of Chemical and Biomolecular Engineering, University of Houston, Houston, TX 77204

  2. 2

    Dept. of Mechanical Engineering, University of Houston, Houston, TX 77204

*Dept. of Chemical and Biomolecular Engineering, University of Houston, Houston, TX 77204

Publication History

  1. Issue published online: 3 AUG 2011
  2. Article first published online: 15 NOV 2010
  3. Accepted manuscript online: 7 OCT 2010 09:20AM EST
  4. Manuscript Revised: 16 SEP 2010
  5. Manuscript Received: 29 JUN 2010

Funded by

  • NSF. Grant Number: CMMI 0727999
  • Ford Motor Company

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Keywords:

  • combustion;
  • mathematical modeling;
  • mixing;
  • reactor analysis;
  • reaction kinetics

Abstract

A four-mode low-dimensional model for the in-cylinder combustion process in an internal combustion engine is developed. The lumped parameter ordinary differential equation model is based on two mixing times that capture the reactant mixing limitations inside the cylinder and mixing limitations caused by the input and exit stream distribution. For a given inlet and operating conditions, the model predicts the exhaust composition of regulated gases (total unburned HCs, CO, and NOx) as well as the in-cylinder pressure and temperature. The model is able to capture the qualitative trends observed with change in fuel composition (gasoline and ethanol blending), air/fuel ratio, spark timing, engine load, and speed. The results show good qualitative and fair quantitative agreement with the experimental results published in the literature and demonstrate the possibility of such low-dimensional model for real-time control. Improvements and extensions to the model are discussed. © 2010 American Institute of Chemical Engineers AIChE J, 2011

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