Identification of Air-Fuel Ratio Dynamics in SI Engines using Linear Parameter Varying Techniques

Rohit Zope, Javad Mohammadpour, Karolos Grigoriadis, Matthew Franchek, Reza Tafreshi, and Houshang Masoudi

Keywords

System Identification, Linear Parameter Varying Systems, SI Engines, Air-Fuel Ratio Dynamics

Abstract

Accurate identification of the air-fuel ratio system dynamics in a spark-ignition (SI) engine is important to develop control methodologies leading to minimized emissions, as well as enhanced performance and efficiency. The fuel path of an SI engine exhibits time-varying dynamics. Presented in this paper is a new method for identifying the air-fuel ratio dynamics by casting the time-varying dynamics as a linear parameter-varying (LPV) system. The identification method assumes a known, physically motivated dependence of the model coefficients on the externally measurable engine parameters. The LPV system identification problem is reduced to a problem of linear regression and solved iteratively. Experiments performed on a 5.4L V8 Ford engine validate the accuracy of the proposed method.

Important Links:

Go Back