Method and associated device for sensing the air/fuel ratio of an internal combustion engine
First Claim
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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 in a pressure cycle of the internal combustion engine;
normalizing the characteristic parameters in a set range;
choosing a subset of the characteristic parameters by a clustering algorithm;
calculating moving averages of the chosen subset of parameters on a number of pressure cycles of the internal combustion engine; and
generating a signal representative of the air/fuel ratio of the internal combustion engine as a function of the chosen subset of parameters.
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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.
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Citations
11 Claims
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1. A method for sensing an air/fuel ratio in a combustion chamber of an internal combustion engine, the method comprising:
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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 in a pressure cycle of the internal combustion engine; normalizing the characteristic parameters in a set range; choosing a subset of the characteristic parameters by a clustering algorithm; calculating moving averages of the chosen subset of parameters on a number of pressure cycles of the internal combustion engine; and generating a signal representative of the air/fuel ratio of the internal combustion engine as a function of the chosen subset of parameters. - View Dependent Claims (2, 3)
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4. A device for sensing an air/fuel ratio in a combustion chamber of an internal combustion engine, the device comprising:
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a pressure sensor to generate a pressure signal of a pressure in at least one cylinder of the internal combustion engine; and an offline trained learning machine to be input with the pressure signal, to extract from the pressure signal characteristic parameters thereof, and to generate as a function of the characteristic parameters a signal representative of the air/fuel ratio, said offline trained learning machine is based upon a neural network; said offline trained learning machine comprising an identification subsystem to choose parameters of the pressure signal by a clustering algorithm, said offline trained learning machine to generate the signal representative of the air/fuel ratio as a function of the chosen parameters; and a pre-processor coupled in cascade to said identification subsystem and to generate a signal representing a moving average of the characteristic parameters of the pressure signal; a neural network coupled in cascade to said pre-processor and to generate an intermediate signal indicative of the air/fuel ratio; and a post-processor to be input with the intermediate signal and to generate a signal representative of estimated air/fuel ratio of the internal combustion engine as a moving average of the intermediate signal. - View Dependent Claims (5, 6, 7, 8)
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9. A device for sensing an air/fuel ratio in a combustion chamber of an internal combustion engine, the device comprising:
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a pressure sensor to generate a pressure signal of a pressure in at least one cylinder of the internal combustion engine; and offline trained learning machine being based upon a fuzzy system and a neural network and comprising an identification subsystem choosing parameters of the pressure signal by a clustering algorithm; said offline trained learning machine to be input with the pressure signal, to extract from the pressure signal characteristic parameters thereof, and to generate the signal representative of the air/fuel ratio as a function of the chosen parameters. - View Dependent Claims (10, 11)
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Specification