Spark Advance Control Using the Ion Current and Neural Soft Sensors

Two spark advance control systems are outlined; both based on feedback from nonlinear neural network soft sensors and ion current detection. One uses an estimate on the location of the pressure peak and the other uses an estimate of the location of the center of combustion. Both quantities are estim...

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Bibliographic Details
Published in:SAE transactions 1999-01, Vol.108 (3), p.1590-1595
Main Authors: Hellring, Magnus, Munther, Thomas, Rögnvaldsson, Thorsteinn, Wickström, Nicholas, Carlsson, Christian, Larsson, Magnus, Nytomt, Jan
Format: Article
Language:English
Subjects:
Air pressure
Automobiles
Cylinders
Dynamometers
Engines
Highways
Ignition
Ion currents
Pressure sensors
Sensors
TECHNOLOGY
TEKNIKVETENSKAP
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Summary:Two spark advance control systems are outlined; both based on feedback from nonlinear neural network soft sensors and ion current detection. One uses an estimate on the location of the pressure peak and the other uses an estimate of the location of the center of combustion. Both quantities are estimated from the ion current signal using neural networks. The estimates are correct within roughly two crank angle degrees when evaluated on a cycle to cycle basis, and roughly within one crank angle degree when the quantities are averaged over consecutive cycles. The pressure peak detection based control system is demonstrated on a SAAB 9000 car, equipped with a 2.3 liter low-pressure turbo charged engine, during normal highway driving.
ISSN:0096-736X
2577-1531
DOI:10.4271/1999-01-1162