CN114323674B - Method and system for detecting Creak noise of whole vehicle - Google Patents
Method and system for detecting Creak noise of whole vehicle Download PDFInfo
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Abstract
The invention provides a method and a system for detecting Creak noise of a whole vehicle, which relate to the technical field of automobile performance detection and comprise the following steps: at least one noise acquisition device is arranged on a whole vehicle in advance and is used for continuously acquiring noise signals in the running process of the whole vehicle to obtain a continuous noise signal, and the detection method comprises the following steps: step S1, collecting continuous noise signals generated by the whole vehicle corresponding to running under a plurality of preset running conditions; step S2, for each operation condition, sampling the corresponding continuous noise signals according to a sampling period input from the outside to obtain a plurality of noise signal values, and adding each noise signal value into a characteristic data set; step S3, processing according to all noise signal values contained in the feature data sets to obtain a noise average value; and S4, processing according to the average value of each noise to obtain a Creak noise detection value. The method has the advantage that the Creak noise is quantitatively and objectively characterized by the Creak noise detection value.
Description
Technical Field
The invention relates to the technical field of automobile performance detection, in particular to a method and a system for detecting Creak noise of a whole automobile.
Background
The whole vehicle road test is to test the performance of the whole vehicle in each running state on a test road and is used for further judging whether the whole vehicle meets the quality standard. The whole vehicle road test comprises detection of noise generated by braking of the whole vehicle in the running process, and the noise generated by braking comprises Creak noise.
Currently, in the Creak noise detection project of the whole vehicle, a tester is required to monitor and score the Creak noise generated by the whole vehicle during braking. However, the subjective experience is used to score the Creak noise to obtain a detection result that is less objective.
In addition, because the Creak noise generated during the braking of the whole vehicle is closely related to the quality of the friction plate, the friction plate needs to be evaluated according to the score of the Creak noise in the model selection process of the friction plate. When a technician needs to select friction plates meeting the standard from friction plates of various types, the score of the Creak noise is obtained by subjective scoring of testers, and the situation that the scores of the testers for the same friction plate are different exists, so that the type selection efficiency of the friction plates is low.
Disclosure of Invention
The invention provides a method for detecting Creak noise of a whole vehicle, aiming at the problems existing in the prior art, at least one noise acquisition device is arranged on the whole vehicle in advance and used for continuously acquiring noise signals in the running process of the whole vehicle to obtain a continuous noise signal, and the method comprises the following steps:
step S1, collecting continuous noise signals generated by the whole vehicle corresponding to running under a plurality of preset running conditions;
step S2, for each operation condition, sampling the corresponding continuous noise signals according to a sampling period input from the outside to obtain a plurality of noise signal values, and adding each noise signal value into a characteristic data set;
step S3, processing according to all the noise signal values contained in the characteristic data sets to obtain a noise average value;
and S4, processing according to each noise average value to obtain a Creak noise detection value.
Preferably, each of the operating conditions includes:
the whole vehicle is converted from a stable driving state to a first working condition of a parking state;
the whole vehicle is converted from the parking state to a second working condition of a forward running state;
and the whole vehicle is converted from the parking state to a third working condition of a reversing running state.
Preferably, the noise collection device comprises an acceleration sensor, and the acceleration sensor is fixed on a caliper bracket of the whole vehicle;
and if the continuous noise signal is the continuous acceleration signal acquired by the acceleration sensor, in the step S3, the Creak noise detection value is an acceleration value to represent the Creak noise generated at the installation position corresponding to the acceleration sensor in the running process of the whole vehicle.
Preferably, the whole vehicle is provided with a pressure sensor in advance, and the pressure sensor is fixed on a caliper bracket of the whole vehicle;
the step S2 is preceded by collecting, by the pressure sensor, each continuous pressure signal generated by the whole vehicle running under a preset plurality of running conditions, and selecting and obtaining the sampling period under the corresponding running condition according to each continuous pressure signal.
Preferably, the step S3 includes:
step S31, for each characteristic data set, extremum extraction is carried out on each noise signal value, and each extracted noise signal value is added into an extremum data set;
step S32, extracting a plurality of effective noise signal values from the extremum data set, and calculating the average value according to each effective noise signal value.
Preferably, the step S32 includes:
step S321, screening each noise signal value contained in the extremum data set according to a preset threshold value to obtain each noise signal value larger than the threshold value, and adding an extremum sequence, wherein the noise signal values are sequentially arranged in the extremum sequence from large to small;
step S322, obtaining each of the noise signal values of a preset number arranged in advance from the extremum sequence as the corresponding effective noise signal value, and calculating the average value according to each of the effective noise signal values.
Preferably, in the step S3, the Creak noise detection value is obtained by processing using the following formula:
wherein RMS Creak For the Creak noise detection value, AVE (P) is the noise average value of the whole vehicle under the first operation working condition, AVE (D) is the noise average value of the whole vehicle under the second operation working condition, and AVE (R) is the noise average value of the whole vehicle under the third operation working condition.
Preferably, a detection system for Creak noise of a whole vehicle is further provided, and the detection method as described in any one of the above is applied, and the detection system includes:
the noise acquisition device is arranged on the whole vehicle and is used for acquiring continuous noise signals correspondingly generated by the whole vehicle under a plurality of preset operation conditions;
the sampling module is connected with the noise acquisition device and is used for sampling the corresponding continuous noise signals according to a sampling period input from the outside to obtain a plurality of noise signal values aiming at each operation condition, and adding all the noise signal values into a characteristic data set;
the processing module is connected with the sampling module and is used for processing all the noise signal values contained in the characteristic data sets to obtain a noise average value;
and the calculation module is connected with the processing module and is used for processing according to each noise average value to obtain a Creak noise detection value.
Preferably, the processing module includes:
the processing unit is used for extracting extremum from each noise signal value according to each characteristic data set, and adding each extracted noise signal value into an extremum data set;
and the extraction unit is connected with the processing unit and is used for extracting a plurality of effective noise signal values from the extremum data set and calculating the average value according to each effective noise signal value.
Preferably, the extraction unit includes:
the screening subunit is used for screening the noise signal values contained in the extremum data set according to a preset threshold value to obtain the noise signal values larger than the threshold value and adding an extremum sequence, wherein the noise signal values are sequentially arranged in the extremum sequence from large to small;
the processing subunit is connected with the screening subunit and is used for acquiring a preset number of noise signal values which are arranged in advance from the extremum sequence to serve as the corresponding effective noise signal values, and calculating the average value according to the effective noise signal values.
The technical scheme has the following advantages or beneficial effects:
(1) The continuous noise signals of the whole vehicle under a plurality of operation conditions are collected, and each continuous noise signal is sampled to calculate the Creak noise detection value, so that the reliability of the Creak noise detection value is improved, and the Creak noise detection value has the function of quantitatively and objectively characterizing the Creak noise;
(2) Because the friction plates installed on the whole vehicle have different types, corresponding Creak noise detection values have differences, and technicians can select and obtain friction plates meeting noise standards from the friction plates of all types according to objective Creak noise detection values, the efficiency of selecting the types of the friction plates is improved, and the reliability of the type selection results of the friction plates is higher;
(3) The pressure sensor is arranged on the caliper bracket of the whole vehicle, the sampling period is determined according to the continuous pressure signal, the data volume involved in calculation when the Creak noise detection value is calculated is reduced, the data contained in the characteristic data set is limited in the time period of generating the Creak noise when the whole vehicle is braked, the relevance between each noise signal value in the characteristic data set and the Creak noise generated by the whole vehicle is enhanced, and the Creak noise detection value is calculated more reliably.
Drawings
FIG. 1 is a flow chart of a detection method in a preferred embodiment of the invention;
FIG. 2 is a flowchart showing the detection method in step S3 according to the preferred embodiment of the present invention;
FIG. 3 is a flowchart showing the detection method of step S32 according to the preferred embodiment of the present invention;
FIG. 4 is a schematic diagram of the control of the detection system according to the preferred embodiment of the present invention.
Detailed Description
The invention will now be described in detail with reference to the drawings and specific examples. The present invention is not limited to the embodiment, and other embodiments may fall within the scope of the present invention as long as they conform to the gist of the present invention.
In a preferred embodiment of the present invention, based on the above-mentioned problems existing in the prior art, a method for detecting Creak noise of a whole vehicle is provided, in which at least one noise acquisition device is mounted on a whole vehicle in advance, and is used for continuously acquiring noise signals during the running process of the whole vehicle to obtain a continuous noise signal, and the detection method includes:
step S1, collecting continuous noise signals generated by the whole vehicle corresponding to running under a plurality of preset running conditions;
step S2, for each operation condition, sampling the corresponding continuous noise signals according to a sampling period input from the outside to obtain a plurality of noise signal values, and adding each noise signal value into a characteristic data set;
step S3, processing according to all noise signal values contained in the feature data sets to obtain a noise average value;
and S4, processing according to the average value of each noise to obtain a Creak noise detection value.
Specifically, in this embodiment, by collecting continuous noise signals generated during the running process of the whole vehicle under multiple running conditions, the number of samples of the continuous noise signals is increased, and the effect of improving the accuracy of the Creak noise detection value is achieved.
In another embodiment, in step S2, each continuous noise signal may be sampled with different sampling periods under different operating conditions.
For each continuous noise signal, at least five sampling intervals are acquired in the continuous noise signal according to the sampling period, so that the reliability of the Creak noise detection value is improved.
In a preferred embodiment of the present invention, each operating condition includes:
the whole vehicle is converted from a stable driving state to a first working condition of a parking state;
the whole vehicle is converted from a parking state to a second working condition of a forward running state;
the whole vehicle is converted from a parking state to a third working condition of a reversing running state.
Specifically, in this embodiment, under each operation condition, the operation state of the whole vehicle changes, so as to achieve the purpose of more comprehensively collecting continuous noise signals of the whole vehicle in the braking and accelerating processes.
In a preferred embodiment of the invention, the noise acquisition device comprises an acceleration sensor which is fixed on a caliper bracket of the whole vehicle;
and in the step S3, the Creak noise detection value is an acceleration value to represent Creak noise generated at the installation position corresponding to the acceleration sensor in the running process of the whole vehicle.
In the preferred embodiment of the invention, the whole vehicle is provided with a pressure sensor in advance, and the pressure sensor is fixed on a caliper bracket of the whole vehicle;
the step S2 is carried out before the step is carried out, wherein each continuous pressure signal generated by the whole vehicle running under a plurality of preset running working conditions is collected through a pressure sensor, and the sampling period under the corresponding running working conditions is respectively selected according to each continuous pressure signal.
Specifically, in this embodiment, creak noise of the whole vehicle often occurs in a pressure interval immediately before the pressure reaches the maximum braking pressure during the pressurization process of the whole vehicle. The sampling period is determined by selecting a pressure interval in which the pressure in the continuous pressure signal is about to reach the maximum braking pressure, and the continuous noise signal is sampled in the sampling period to obtain an effective partial noise signal.
In another embodiment, the continuous pressure signal is provided to a tester in the form of an image, the tester selects at least five pressure intervals according to the working experience and the signal characteristics of the continuous pressure signal, and then selects noise signal values in time periods corresponding to the pressure intervals in the noise signal according to the selected pressure intervals.
In a preferred embodiment of the present invention, step S3 includes:
step S31, extracting extremum from each noise signal value according to each characteristic data set, and adding each extracted noise signal value into an extremum data set;
and S32, extracting a plurality of effective noise signal values from the extremum data set, and calculating an average value according to each effective noise signal value.
In a preferred embodiment of the present invention, step S32 includes:
step S321, screening each noise signal value contained in the extremum data set according to a preset threshold value to obtain each noise signal value larger than the threshold value, and adding an extremum sequence into which each noise signal value is sequentially arranged in the order from large to small;
step S322, each noise signal value of a preset number arranged in advance is obtained from the extremum sequence as the corresponding effective noise signal value, and the average value is calculated according to each effective noise signal value.
Specifically, in this embodiment, before each noise signal value obtained through extremum extraction is added to the extremum data set, the first noise signal value in the sampling sequence and the last noise signal value in the sampling sequence need to be removed according to the sampling period, and then each remaining noise signal value is added to the extremum data set, so as to reduce abrupt change data in the extremum data set, and further enhance reliability of the Creak noise detection value.
In a preferred embodiment of the present invention, in step S3, the following formula is adopted to obtain the Creak noise detection value:
wherein RMS Creak As the Creak noise detection value, AVE (P) is the noise average value of the whole vehicle under the first operation working condition, AVE (D) is the noise average value of the whole vehicle under the second operation working condition, and AVE (R) is the noise average value of the whole vehicle under the third operation working condition.
Specifically, in the embodiment, the formula combines the average value of the whole vehicle under three operation conditions, so that the calculated Creak noise detection value is more reliable.
And a tester adjusts the formula according to each operation condition tested by the whole vehicle in the actual testing process, so that the applicability of the detection method is improved.
In another embodiment, the Creak noise of the whole vehicle is noise generated by friction plates mounted on the whole vehicle during running of the whole vehicle under each running condition, the Creak noise detection values corresponding to the friction plates of different models are different, and a technician selects the models of the friction plates of different models according to the Creak noise detection values.
And a technician selects the friction plate meeting the standard from the friction plates of various models according to the Creak noise detection value, and the quantitative Creak noise detection value characterizes the performance of the friction plate and improves the efficiency of selecting the friction plate.
In a preferred embodiment of the present invention, there is also provided a system for detecting Creak noise of a whole vehicle, where the detection method of any one of the above is applied, and the detection system includes:
the at least one noise acquisition device 1 is arranged on the whole vehicle and is used for acquiring each continuous noise signal correspondingly generated by the whole vehicle under a plurality of preset operation conditions;
the sampling module 2 is connected with the noise acquisition device 1 and is used for sampling corresponding continuous noise signals according to a sampling period input from the outside to obtain a plurality of noise signal values aiming at each operation condition, and adding all the noise signal values into a characteristic data set;
the processing module 3 is connected with the sampling module 2 and is used for processing all noise signal values contained in the characteristic data sets according to each characteristic data set to obtain a noise average value;
the calculating module 4 is connected with the processing module 3 and is used for processing according to the average value of each noise to obtain a Creak noise detection value.
In a preferred embodiment of the invention, the processing module 3 comprises:
a processing unit 31, configured to extract extremum values of the noise signal values for each feature data set, and add each extracted noise signal value to an extremum data set;
the extracting unit 32 is connected to the processing unit 31, and is configured to extract a plurality of effective noise signal values from the extremum data set, and calculate an average value according to each effective noise signal value.
In a preferred embodiment of the present invention, the extraction unit 32 includes:
the screening subunit 321 is configured to screen each noise signal value included in the extremum data set according to a preset threshold value, obtain each noise signal value greater than the threshold value, and add an extremum sequence into which each noise signal value is sequentially arranged in order from large to small;
the processing subunit 322 is connected to the screening subunit 321, and is configured to obtain, from the extremum sequence, a preset number of noise signal values arranged in advance as corresponding effective noise signal values, and calculate an average value according to each effective noise signal value.
In conclusion, a tester collects continuous noise signals and corresponding continuous pressure signals generated in the running process of the whole vehicle by controlling the whole vehicle to respectively run under three different running conditions; then, determining a sampling period according to the continuous pressure signal, and sampling the continuous noise signal to obtain a characteristic data set containing a plurality of noise signal values, so as to realize the purpose of converting the signal into a numerical value; and then, calculating the average value of each noise signal value, and calculating the Creak noise detection value by the corresponding three average values of the whole vehicle under three operation conditions, thereby realizing the purpose of quantitatively and objectively characterizing the Creak noise through the Creak noise detection value.
The foregoing description is only illustrative of the preferred embodiments of the present invention and is not to be construed as limiting the scope of the invention, and it will be appreciated by those skilled in the art that equivalent substitutions and obvious variations may be made using the description and drawings, and are intended to be included within the scope of the present invention.
Claims (9)
1. The method for detecting the Creak noise of the whole vehicle is characterized in that at least one noise acquisition device is arranged on the whole vehicle in advance and is used for continuously acquiring noise signals in the running process of the whole vehicle to obtain a continuous noise signal, and the method comprises the following steps:
step S1, collecting continuous noise signals generated by the whole vehicle corresponding to running under a plurality of preset running conditions;
step S2, for each operation condition, sampling the corresponding continuous noise signals according to a sampling period input from the outside to obtain a plurality of noise signal values, and adding each noise signal value into a characteristic data set;
step S3, processing according to all the noise signal values contained in the characteristic data sets to obtain a noise average value;
s4, processing according to each noise average value to obtain a Creak noise detection value;
the whole vehicle is provided with a pressure sensor in advance, and the pressure sensor is fixed on a caliper bracket of the whole vehicle;
the step S2 is preceded by collecting, by the pressure sensor, each continuous pressure signal generated by the whole vehicle running under a preset plurality of running conditions, and selecting and obtaining the sampling period under the corresponding running condition according to each continuous pressure signal.
2. The method of detection of claim 1, wherein each of the operating conditions comprises:
the whole vehicle is converted from a stable driving state to a first working condition of a parking state;
the whole vehicle is converted from the parking state to a second working condition of a forward running state;
and the whole vehicle is converted from the parking state to a third working condition of a reversing running state.
3. The method according to claim 1, wherein the noise collection device comprises an acceleration sensor fixed to a caliper bracket of the whole vehicle;
and if the continuous noise signal is the continuous acceleration signal acquired by the acceleration sensor, in the step S3, the Creak noise detection value is an acceleration value to represent the Creak noise generated at the installation position corresponding to the acceleration sensor in the running process of the whole vehicle.
4. The method according to claim 1, wherein the step S3 includes:
step S31, for each characteristic data set, extremum extraction is carried out on each noise signal value, and each extracted noise signal value is added into an extremum data set;
and S32, extracting a plurality of effective noise signal values from the extremum data set, and calculating the average value according to each effective noise signal value.
5. The method according to claim 4, wherein the step S32 includes:
step S321, screening each noise signal value contained in the extremum data set according to a preset threshold value to obtain each noise signal value larger than the threshold value, and adding an extremum sequence, wherein the noise signal values are sequentially arranged in the extremum sequence from large to small;
step S322, obtaining each of the noise signal values of a preset number arranged in advance from the extremum sequence as the corresponding effective noise signal value, and calculating the average value according to each of the effective noise signal values.
6. The detection method according to claim 2, wherein in the step S3, the Creak noise detection value is obtained by processing using the following formula:
RMS Creak ＝ 
；
wherein RMS Creak For the Creak noise detection value, AVE (P) is the noise average value of the whole vehicle under the first working condition, AVE (D) is the noise average value of the whole vehicle under the second working condition, and AVE (R) is the noise average value of the whole vehicle under the third working condition.
7. A detection system for Creak noise of a whole vehicle, wherein the detection method according to any one of claims 1-6 is applied, and the detection system comprises:
the noise acquisition device is arranged on the whole vehicle and is used for acquiring continuous noise signals correspondingly generated by the whole vehicle under a plurality of preset operation conditions;
the sampling module is connected with the noise acquisition device and is used for sampling the corresponding continuous noise signals according to a sampling period input from the outside to obtain a plurality of noise signal values aiming at each operation condition, and adding all the noise signal values into a characteristic data set;
the processing module is connected with the sampling module and is used for processing all the noise signal values contained in the characteristic data sets to obtain a noise average value;
and the calculation module is connected with the processing module and is used for processing according to each noise average value to obtain a Creak noise detection value.
8. The detection system of claim 7, wherein the processing module comprises:
the processing unit is used for extracting extremum from each noise signal value according to each characteristic data set, and adding each extracted noise signal value into an extremum data set;
and the extraction unit is connected with the processing unit and is used for extracting a plurality of effective noise signal values from the extremum data set and calculating the average value according to each effective noise signal value.
9. The detection system according to claim 8, wherein the extraction unit comprises:
the screening subunit is used for screening the noise signal values contained in the extremum data set according to a preset threshold value to obtain the noise signal values larger than the threshold value and adding an extremum sequence, wherein the noise signal values are sequentially arranged in the extremum sequence from large to small;
the processing subunit is connected with the screening subunit and is used for acquiring a preset number of noise signal values which are arranged in advance from the extremum sequence to serve as the corresponding effective noise signal values, and calculating the average value according to the effective noise signal values.
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