Method and associated device for sensing the air/fuel ratio of an internal combustion engine

• US 7,440,839 B2
• Filed: 03/03/2006
• Issued: 10/21/2008
• Est. Priority Date: 03/04/2005
• Status: Active Grant

• Current Assignee: STMicroelectronics SRL (STMicroelectronics NV)
• Original Assignee: STMicroelectronics SRL (STMicroelectronics NV)
• Inventors: Amato, Paolo, Pirozzi, Francesco, Carpentieri, Francesco, Taglialatela-Scafati, Ferdinando, Di Meglio, Maurizio, Cesario, Nicola, Moselli, Giovanni
• Primary Examiner(s): Wolfe, Jr.; Willis R.
• Assistant Examiner(s): Hoang; Johnny H.
• Application Number:
  US11/368,169
• Publication Number:
  US 20060212209A1
• Time in Patent Office: 963 Days
• Field of Search: 701/106, 701/109, 701/103, 701/104, 123/434, 123/435, 123/480, 123/486, 123/494, 731/16, 731/173, 73/351.2
• US Class Current: 701/106
• CPC Class Codes: F02D 2041/141 using a feed-forward control element
• CPC Class Codes: F02D 35/023 by determining the cylinder pressure
• CPC Class Codes: F02D 41/1401 characterised by the control or regulation method F02D41/1473, F02D41/1477 take precedence
• CPC Class Codes: F02D 41/1404 Fuzzy logic control
• CPC Class Codes: F02D 41/1405 Neural network control
• CPC Class Codes: F02D 41/1458 with determination means using an estimation
• CPC Class Codes: F02D 41/187 using a hot wire flow sensor
• CPC Class Codes: F02D 41/2454 Learning of the air-fuel ratio control
• CPC Class Codes: G06F 18/23213 with fixed number of clusters, e.g. K-means clustering

Abstract

A method of sensing the air/fuel ratio in a combustion chamber of an internal combustion engine that may be easily implemented by a respective low-cost device includes a pressure sensor and a learning machine that generates a sensing signal representing the air/fuel ratio by processing the waveform of the pressure in at least one cylinder of the engine. In practice, the learning machine extracts characteristic parameters of the waveform of the pressure and as a function of a certain number of them generates the sensing signal.

Claims

1. A method for sensing an air/fuel ratio in a combustion chamber of an internal combustion engine, the method comprising:

sensing a pressure in at least one cylinder of the internal combustion engine;

generating a pressure signal representative of the sensed pressure;

extracting characteristic parameters of the pressure signal; and

generating a signal representative of the air/fuel ratio of the internal combustion engine as a function of the characteristic parameters.

2. The method of claim 1 wherein extracting characteristic parameters of the pressure signal further comprises extracting the characteristic parameters in a pressure cycle of the internal combustion engine;

and further comprising;

normalizing the characteristic parameters in a set range;

choosing a subset of the characteristic parameters, the chosen subset of parameters being used for determining the air/fuel ratio;

calculating moving averages of the chosen subset of parameters on a number of pressure cycles of the internal combustion engine; and

generating the signal representative of the air/fuel ratio as a function of the moving averages of the chosen subset of parameters.

3. The method of claim 2 wherein the chosen subset of parameters is chosen during a preliminary test phase, the preliminary test phase comprising:

measuring a value of each characteristic parameter in each pressure cycle;

sensing the air/fuel ratio at each pressure cycle;

calculating a correlation coefficient between a sequence of air/fuel ratios and a sequence of values of each characteristic parameter; and

choosing a number of characteristic parameters that are correlated with the air/fuel ratio.

4. The method of claim 2 wherein the number of pressure cycles on which the chosen subset of parameters are averaged is determined by at least:

establishing a set of possible values of the chosen subset of parameters for the number of pressure cycles;

for each possible value of the chosen subset of parameters for each pressure cycle, generating a respective dataset comprising sequences of moving averages of the chosen subset of parameters calculated on the number of pressure cycles;

grouping each dataset in clusters by executing a clustering algorithm thereon;

calculating a performance index for each execution of the clustering algorithm;

estimating an ideal performance index of the clustering algorithm for each dataset corresponding to a variance of moving averages belonging to a same cluster being at a lower threshold value, and to a variance of moving averages belonging to different clusters being an upper threshold value;

calculating a clustering factor as a ratio between the performance index and the ideal performance index; and

choosing a desired value of the number of pressure cycles as a value corresponding to the execution of the clustering algorithm for which the clustering factor is at an upper threshold value.

5. The method of claim 4 wherein the clustering algorithm comprises at least one of a Fuzzy C-means clustering algorithm and a Fuzzy Possibilistic C-Means Algorithm clustering algorithm.

6. The method of claim 2 wherein the chosen subset of parameters comprises a pressure value for a crank angle of 40 degrees, a pressure value for a crank angle of 50 degrees, and a upper threshold pressure value;

and wherein the number of pressure cycles is about 16.