Patent Number: 6,805,099

Title: Wavelet-based artificial neural net combustion sensing

Abstract: A method and apparatus for real-time measurement of combustion characteristics of each combustion event in each individual cylinder coupled with an ability to control the engine based upon the combustion characteristics are shown. The invention includes using selective sampling techniques and wavelet transforms to extract a critical signal feature from an ionization signal that is generated by an in-cylinder ion sensor, and then feeds that critical signal feature into an artificial neural network to determine a desired combustion characteristic of the combustion event. The desired combustion characteristic of the combustion event includes a location of peak pressure, an air/fuel ratio, or a percentage of mass-fraction burned, among others. The control system of the engine is then operable to control the engine based upon the combustion characteristic.

Inventors: Malaczynski; Gerard Wladyslaw (Bloomfield Hills, MI), Baker; Michael Edward (Grand Blanc, MI)

Assignee: Delphi Technologies, Inc.

International Classification: F02D 41/14 (20060101); F02B 1/00 (20060101); F02B 1/12 (20060101); F02M 007/00 ()

Expiration Date: 10/19/2012