Model based diagnosis for automotive engines-algorithm development and testing on a production vehicle

Author

Gerler, J. ; Costin, Mark ; Fang, Xiaowen ; Kowalczuk, Zdzislaw ; Kunwer, Moid ; Monajemy, Ramin

Author_Institution

George Mason Univ., Fairfax, VA, USA

Volume

3

Issue

1

fYear

1995

fDate

3/1/1995 12:00:00 AM

Firstpage

61

Lastpage

69

Abstract

A complete diagnostic algorithm is presented for detecting and isolating faults of actuators and sensors of an automotive engine. The algorithm is built around the concept of analytical redundancy and utilizes structured parity equations. The parity equations rely on a nonlinear and dynamic model, obtained by identification using data from a single production vehicle with a 3.1 l V-6 engine. Tests performed with the diagnostic algorithm on the same vehicle show excellent performance under different fault conditions. Several important issues require further investigation, including long-term climatic effects, vehicle aging, car-to-car variations, the automation of the calibration procedure and implementation in the face of processor limitations

Keywords

actuators; fault diagnosis; fault location; identification; internal combustion engines; redundancy; sensors; actuator; analytical redundancy; automotive engines; calibration automation; car-to-car variations; diagnostic algorithm; fault conditions; faults isolation; long-term climatic effects; model based diagnosis; nonlinear dynamic model; sensors; structured parity equations; vehicle aging; Actuators; Algorithm design and analysis; Automotive engineering; Engines; Fault detection; Nonlinear equations; Production; Redundancy; Testing; Vehicle dynamics;

fLanguage

English

Journal_Title

Control Systems Technology, IEEE Transactions on

Publisher

ieee

ISSN

1063-6536

Type

jour

DOI

10.1109/87.370711

Filename

370711