Internal-combustion engines – Spark ignition timing control – Electronic control
Patent
1997-11-18
2000-01-11
Argenbright, Tony M.
Internal-combustion engines
Spark ignition timing control
Electronic control
73 3504, 701111, G01L 2322, F02P 514
Patent
active
060124253
DESCRIPTION:
BRIEF SUMMARY
BACKGROUND OF THE INVENTION
The invention relates to a device for detecting knocking and for regulating an internal combustion engine.
So that an internal combustion engine can be optimally regulated, it is necessary to dependably detect so-called "knocking", which represents a critical operational state which can have a disadvantageous effect on the service life of the internal combustion engine. If knocking is detected, the ignition angle is normally adjusted, so that it is assured that knocking will be prevented during the following ignition processes.
In known devices for the detection of knocking, the sounds generated in the internal combustion engine are registered with the aid of so-called structure-borne noise sensors. The output signals from the sensors are processed and analyzed with the aid of a microprocessor.
A device for detecting knocking, operating in accordance with this method is known, for example, from DE-OS 44 21 950. With this known device the output signals are first preprocessed and then further processed with the aid of a neuronic network as well as a connected fuzzy logic device. If knocking is detected, ignition or fuel injection is affected in the customary manner in such a way that conditions are reestablished under which no knocks occur.
Although a signal preprocessing stage is provided by the device for detecting knocking known from DE-OS 44 21 950, which matches the provided by the knocking sensors to the adjoining neuronic network as well as the fuzzy logic, no information can be found as to how the signal preprocessing stage is to be designed.
SUMMARY OF THE INVENTION
Accordingly, it is an object of present invention to provide a device for detecting knocking and regulating an internal combustion engine which avoids disadvantages of the prior art. In keeping with these objects, one feature of present invention resides, briefly stated in the device in which a preprocessing stage has means which extract characteristic features from an output signal of a knocking sensor that individual values are selected from the output signal of the signal preprocessing stage, that a signal vector is formed or signal vectors are formed in this way, and it or they are fed to a neuronic network as the input vector which forms precision criteria from this, which makes possible a statement regarding the presence of knocking.
When the device is designed in accordance with the present invention it has the advantage, that the output signals from the knocking sensors are processed prior to being supplied to the neuronic network in such a way, that an especially dependable further processing can take place. These advantages are achieved in that several characteristic values of the knocking sensor signal are already extracted in the signal preprocessing unit, and only these selected signals are supplied to a logical evaluation device which, for example, is constructed by means of neuronic networks or as a fuzzy logic device.
It is particularly advantageous here to scan the characteristic features in the signal preprocessing unit only in the course of a measuring window, so that the location of the knocking can be determined and interferences screened out. It is furthermore advantageous to perform a Fourier transformation in the signal preprocessing device and to determine one or several knock advance frequencies and to supply this information to the neuronic network as a characteristic feature. In an advantageous manner it is also possible to provide an integration of the total energy in the measuring window, so that the knocking energy can be supplied to the neuronic network as a characteristic feature. It can also be advantageous to detect partial energies in different measuring windows in the signal preprocessing unit and to employ the characteristic signal shape obtained in this way for differentiating between interference noises and knocking.
In an advantageous manner the evaluation and classification of the characteristics extracted in the preprocessing stage takes place by means of a neuro
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Baeuerle Michael
Haeming Werner
Hafner Sigfrid
Sloboda Robert
Surjadi Iwan
Argenbright Tony M.
Robert & Bosch GmbH
Striker Michael J.
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