Spark Advance Control Using the Ion Current and Neural Soft Sensors 1999-01-1162
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.
Magnus Hellring, Thomas Munther, Thorsteinn Rögnvaldsson, Nicholas Wickström, Christian Carlsson, Magnus Larsson, Jan Nytomt
Halmstad Univ., Mecel AB
International Congress & Exposition
Electronic Engine Control Technologies-PT-73, Electronic Engine Controls 1999: Neural Networks, Diagnostic and Electronic Hardware, and Controls-SP-1419, Sensors and Transducers, Second Edition-PT-105, SAE 1999 Transactions - Journal of Engines-V108-3