CN114199369A - Automobile heating and ventilation noise testing method and system based on statistical analysis - Google Patents
Automobile heating and ventilation noise testing method and system based on statistical analysis Download PDFInfo
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Abstract
A method for predicting the heating and ventilation noise of an automobile obtains the heating and ventilation working voltage of the whole automobile, the current of an air blower and the rotating speed of the air blower, and the heating and ventilation noise of the whole automobile is tested in an external power supply mode. Respectively obtaining whole vehicle heating and ventilation noise data of four modes of blowing surface full-cold external circulation, blowing foot full-hot external circulation, defrosting full-hot external circulation and blowing surface full-cold internal circulation; acquiring relevant data such as the total sound pressure level of the single heating and ventilation, the system back pressure, the air volume and the like according to the voltage and the current of the whole vehicle and the rotating speed data of the blower; and establishing a unitary regression model by taking the total sound pressure level of the whole vehicle heating and ventilation as an independent variable and the total sound pressure level of the single heating and ventilation as a dependent variable for statistical analysis, carrying out validity and confidence test on the regression model by using the data of the total sound pressure level of the whole vehicle and the single heating and ventilation in a data summary table, correcting and confirming the regression model through residual analysis, and testing the heating and ventilation noise of the vehicle through the confirmed regression model. The target decomposition and prediction from the noise of the whole heating and ventilation vehicle to the noise of the heating and ventilation single-body rack can be realized.
Description
Technical Field
The invention relates to a noise prediction method, in particular to an automobile heating and ventilation noise prediction method based on data statistics and a model.
Background
The heating and ventilation noise of the automobile air conditioner is one of main noise sources in the automobile, particularly, the air conditioner is opened in an EV mode aiming at a new energy automobile, the noise of an engine is not masked in the automobile, and the level of the heating and ventilation pneumatic noise directly influences the experience and comfort of passengers in the automobile. In the whole vehicle development process, a noise target of the whole vehicle heating and ventilation is set according to the market positioning of vehicle types and user requirements under the common condition, and then the whole vehicle heating and ventilation noise target is decomposed to correspond to the design development and management control of a heating and ventilation monomer. Therefore, the research on the correlation between the whole vehicle heating and ventilation noise and the single body heating and ventilation noise is particularly important.
The chinese patent application CN201410267178.2 discloses a device for testing vibration noise of an automobile heating and ventilation unit and a method for using the same. The method is characterized in that an elastic rope is adopted for hanging during noise testing of the heating and ventilation single body, but a silent air supply system with adjustable back pressure is externally connected to an external circulation air inlet of the heating and ventilation single body to simulate the back pressure of a real vehicle system. Because the system backpressure that each mode and gear received of the heating and ventilation assembly of every money car is different on whole car, this patent does not explain the system backpressure by the simulation, and does not have the using value with whole car heating and ventilation noise relevance. The Chinese invention patent application CN201810817143.X relates to a noise prediction method for an automobile exhaust system. And predicting the noise sound pressure of the target point in the vehicle by establishing a finished vehicle finite element model and then contrasting a transfer function database from the exhaust lifting lug to the target point in the vehicle. Ultrasound prediction subjects were not tested specifically for warm-ventilation noise.
On the whole vehicle, the noise of the air containing pipe and the air outlet in each heating and ventilation mode (the blowing surface full-cold internal circulation, the blowing surface full-cold external circulation, the foot blowing full-hot external circulation and the defrosting full-hot external circulation are taken as concerned working conditions) can be separately tested. The noise of the heating and ventilation unit in each mode can be tested through a system bench. The noise level of the heating and ventilation unit in the whole vehicle environment is affected by system backpressure, air outlet noise of an air pipe, sound field environment in the vehicle, working voltage, current and the like and cannot be directly related to the noise level of the heating and ventilation unit rack, so that forward decomposition and reverse prediction of a target cannot be realized.
Disclosure of Invention
The invention provides a whole vehicle heating and ventilation noise prediction method based on a statistical analysis construction model, aiming at the problems in the prior art in the vehicle heating and ventilation noise test. The method is based on the statistics of a large amount of heating and ventilation noise sample data; collecting and analyzing noise of each gear of each mode of heating and ventilation in the state of the whole vehicle, and parameter conditions such as voltage, current, blower rotating speed and the like generated by current noise; the method is characterized in that the heating ventilation single body noise data collection and analysis under the condition of simulating the real vehicle by using the same voltage and current of the whole vehicle, the rotating speed of a blower and the loading backpressure of a heating ventilation external circulation air inlet are carried out. Specifically, a correlation function of single heating and ventilation noise and whole vehicle heating and ventilation noise is established through a large amount of data of a whole vehicle and corresponding heating and ventilation single bodies for carrying out calculation and analysis, and therefore target decomposition from whole vehicle heating and ventilation noise to single body heating and ventilation noise design and prediction from heating and ventilation single body noise to whole vehicle noise in a development process are achieved.
The invention solves the technical problem that the technical scheme is that the invention is a method for predicting the heating and ventilation noise of an automobile, which comprises the steps of collecting the total sound pressure level of each gear of the whole automobile heating and ventilation under various working modes and corresponding voltage, current and blower rotating speed data collected after punching a heating and ventilation volute, obtaining the heating and ventilation noise of the whole automobile and parameters thereof, applying back pressure to the heating and ventilation through an external circulation air inlet by a silent air supply system with adjustable flow and back pressure, testing the noise under various external circulation modes, and collecting the noise data of the heating and ventilation single rack in the current state when the current and the rotating speed of the blower under a certain back pressure of the heating and ventilation external circulation air inlet are identical with the current and the rotating speed of the whole automobile noise; aiming at an 'internal circulation mode', a voltage-stabilized power supply directly provides voltage of each gear of the whole vehicle for an air blower, and noise data of a heating and ventilation single-body rack in the current state are collected; establishing a test data summary table according to the whole vehicle heating and ventilation noise data and the heating and ventilation single-body rack noise data; the method comprises the steps of establishing a multiple regression model by taking the total sound pressure level of the whole vehicle heating and ventilation as an independent variable and the total sound pressure level of the single heating and ventilation, the voltage, the current, the rotating speed, the air volume and the back pressure as dependent variables, analyzing whole vehicle heating and ventilation noise data and single rack noise data of all modes respectively, carrying out validity and confidence degree inspection on the regression model by using the data of the total sound pressure level of the whole vehicle and the single heating and ventilation in a data summary table, correcting and confirming the regression model through residual error analysis, and predicting the heating and ventilation noise of the vehicle through the confirmed regression model.
Further, the overall heating and ventilation sound pressure level Y of the whole vehicle obeys normal distribution, the air quantity and the back pressure as independent variables, and the rotating speed, the voltage and the current of a blower are all eliminated as non-significant factors, and a unitary regression model between the overall heating and ventilation sound pressure level X of the single body and the average value of the overall heating and ventilation sound pressure level Y of the whole vehicle is established: y ═ a + bX, where a and b are constant regression coefficients.
Further, noise data of the heating ventilation single-body rack in the current state is collected when the current and the rotating speed of the blower under a certain back pressure of the heating ventilation external circulation air inlet coincide with the noise current and the rotating speed of the whole vehicle; the noise data of the heating and ventilation single-body rack in the current state is acquired by directly providing voltage of each gear of the whole vehicle for the blower by a voltage-stabilized power supply in the mode of acquiring noise in the internal circulation mode.
Further, the step of testing the total sound pressure level of each gear of the whole vehicle heating and ventilating device in various working modes comprises the following steps: for the external circulation mode, acquiring power supply voltage of each gear of the air blower according to the heating and ventilation data of the whole vehicle, continuously adjusting a mute ventilation system to provide system backpressure for a tested sample at an external circulation air inlet, traversing a test data summary table, recording a backpressure value when the rotating speed of the air blower is equal to the maximum rotating speed in the test data summary table or the current of the air blower is equal to the maximum current in the test data summary table through a certain backpressure, and testing the total sound pressure level corresponding to each gear under the current working condition; and in each internal circulation mode, the connection between the external circulation air inlet of the tested sample and the mute ventilation system is disconnected, the voltage of each gear of the blowing surface full-cold internal circulation mode in the test data summary table is supplied by the voltage-stabilized power supply, and the total sound pressure level corresponding to each gear is tested.
Further, the total sound pressure level of gears from one gear to the highest gear of four modes of the whole vehicle heating ventilation, blowing surface full-cold external circulation, blowing foot full-cold internal circulation and defrosting full-hot internal circulation, and the rotating speed of the blower collected after the heating ventilation volute is punched are collected, an external power supply is adopted to provide the voltage of each gear of each mode of the working state of the whole vehicle, and the noise data of the whole vehicle heating ventilation single rack and the total sound pressure level of the whole vehicle heating ventilation are collected at the position of a microphone measuring point which is arranged to simulate the relative position of the right ear of a driver of the whole vehicle.
Further, the testing of the heating and ventilation single-body bench noise data comprises: hanging the heating ventilation by using an elastic rope, connecting an external circulation air inlet into a system, applying back pressure to the heating ventilation through the external circulation air inlet, and testing noise in a blowing surface full-cold external circulation mode, a blowing foot full-heat external circulation mode and a defrosting full-heat external circulation mode; the working voltage of the air blower during the warm logical noise test of rack is given according to the voltage of each gear of each mode of whole car, adjusts the back pressure of warm logical extrinsic cycle air intake, gathers the warm logical monomer rack noise data of current state.
The invention also provides an automobile heating and ventilation noise test system, wherein a sample piece to be tested is flexibly suspended on a heating and ventilation single body suspension bracket by using an elastic rope for suspension, an external circulation air inlet of the sample piece to be tested is connected with a mute ventilation system, a microphone is arranged at a relative position simulating the right ear of a whole automobile driver, and is connected with a noise acquisition system consisting of the microphone, a BNC line, a noise data acquisition front end and a data acquisition unit, a stabilized voltage power supply supplies power for the sample piece to be tested, and the rotating speed of a blower is monitored by using a photoelectric rotating speed acquisition system; the noise collection system tests the total sound pressure level of each gear of the whole heating ventilation in various working modes and corresponding voltage, current and blower rotating speed data collected after the heating ventilation volute is punched, obtains the whole heating ventilation noise, applies back pressure to the heating ventilation through the air supply system which is silent and adjustable in flow and back pressure through the external circulation air inlet, and collects noise data of the heating ventilation single-body stand in the external circulation mode and the internal circulation mode; establishing a test data summary table according to the whole vehicle heating and ventilation noise data and the heating and ventilation single-body rack noise data; and establishing a unitary regression model by taking the total sound pressure level of the whole vehicle heating and ventilation as an independent variable and the total sound pressure level of the single heating and ventilation as a dependent variable.
Furthermore, the overall heating and ventilation sound pressure level Y of the whole vehicle obeys normal distribution, air quantity, back pressure and blower rotating speed, voltage and current which are used as independent variables are excluded as non-significant factors, and a unitary regression model between the individual heating and ventilation total sound pressure level X and the average value of the overall heating and ventilation total sound pressure level Y is established: and Y is a + bX, wherein a and b are constant regression coefficients, the effectiveness and confidence coefficient of the regression model are checked by using the data of the total sound pressure level of the whole vehicle and the single body heating and ventilation in the data summary table, the regression model is corrected and confirmed through residual analysis, and the heating and ventilation noise of the vehicle is predicted through the confirmed regression model.
Furthermore, in each external circulation mode, when the current and the rotating speed of the blower under a certain back pressure of the heating ventilation external circulation air inlet coincide with the noise current and the rotating speed of the whole vehicle, the noise data of the heating ventilation single-body rack in the current state is collected; under the internal circulation mode, the voltage of each gear of the whole vehicle is directly provided for the blower by the voltage-stabilized power supply, and the noise data of the heating and ventilation single-body rack in the current state is acquired.
Furthermore, for the external circulation mode, acquiring the power supply voltage of each gear of the blower according to the whole vehicle heating and ventilation data, continuously adjusting a mute ventilation system to provide system backpressure for the tested sample at an external circulation air inlet, traversing the test data summary table, recording the backpressure value when the rotating speed of the blower is equal to the maximum rotating speed in the test data summary table or the current of the blower is equal to the maximum current in the test data summary table by a certain backpressure, and acquiring the total sound pressure level of the heating and ventilation single body under the current working condition; and in each internal circulation mode, the connection between the external circulation air inlet of the tested sample and the mute ventilation system is disconnected, the voltage of each gear of the blowing surface full-cold internal circulation mode in the test data summary table is supplied by the voltage-stabilized power supply, and the total sound pressure level corresponding to each gear is tested.
The method is supported by multiple samples and big data, the problem that the noise level of the heating and ventilation vehicle in the whole vehicle environment cannot be directly related to the noise level of the heating and ventilation single rack due to the influences of system backpressure, air outlet noise of an air pipe, sound field environment in the vehicle, working voltage, current and the like is solved, a relation model of the noise data of the heating and ventilation vehicle, the noise of the heating and ventilation single rack and other related parameters is established based on a statistical principle, and the target decomposition from the noise level of the heating and ventilation vehicle to the noise level of the heating and ventilation single rack and the prediction from the noise of the heating and ventilation single rack to the noise level of the whole vehicle can be realized.
Drawings
FIG. 1 is a schematic diagram of the collection of heating and ventilation noise and related parameters of a whole vehicle;
FIG. 2 is a schematic diagram of an implementation of noise and related parameter acquisition of a heating and ventilation single-body rack in an external circulation mode;
FIG. 3 is a schematic diagram of an implementation of noise and related parameter acquisition of a heating and ventilation single-body rack in an internal circulation mode;
FIG. 4 is a block diagram of one embodiment of a method for warm-up noise prediction;
FIG. 5 is a second block diagram of an embodiment of a warm-up noise prediction method;
fig. 6 is a third block diagram of an embodiment of an hvac noise prediction method.
Detailed Description
The following detailed description of the embodiments of the invention is provided in connection with the accompanying drawings.
And acquiring the heating and ventilation working voltage of the whole vehicle. And collecting the total sound pressure level of each gear of the whole vehicle heating and ventilation in various working modes, and the corresponding voltage and current and the blower rotating speed data collected after the heating and ventilation volute is punched. And testing to obtain the heating and ventilation noise and the parameters thereof of the whole vehicle. And testing the heating ventilation single body noise data corresponding to each whole vehicle sample, and testing the heating ventilation single body noise through a mute air supply system with adjustable flow and back pressure.
Applying backpressure to heating ventilation through an external circulation air inlet, testing noise in a corresponding external circulation mode, and acquiring noise data of a heating ventilation single-body rack in the current state when the current and the rotating speed of an air blower under a certain backpressure of the heating ventilation external circulation air inlet are consistent with the current and the rotating speed in the whole vehicle noise test; aiming at the 'internal circulation mode', the voltage of each gear of the whole vehicle is directly provided for the blower by the voltage-stabilized power supply, and noise data is collected. And respectively carrying out relevant statistical analysis on the whole vehicle heating and ventilation noise data and the single frame noise data of all circulation modes, establishing a multiple regression equation by taking the whole vehicle heating and ventilation total sound pressure level as an independent variable and the single heating and ventilation total sound pressure level, the blower voltage, the current, the rotating speed, the air volume and the back pressure as dependent variables, carrying out statistical analysis, and inspecting the significance of the model, residual analysis and correction and confirmation of the regression model.
Fig. 1 shows a schematic diagram of collecting the heating and ventilation noise and related parameters of the whole vehicle.
And collecting the total sound pressure level (dB (A)) of each gear from one gear to the highest gear of four modes of the whole vehicle heating and ventilation, blowing surface full-cold external circulation, blowing surface full-cold internal circulation, blowing foot full-heat internal circulation and defrosting full-heat internal circulation, and corresponding voltage V, current A and blower rotating speed rpm data. The external power supply is adopted to provide the voltage of each gear of each mode of the working state of the real vehicle, and the total sound pressure level (dB (A)) is obtained by testing the position of the right ear of the driver.
Fig. 2 is a schematic diagram of the implementation of noise and related parameter acquisition of the heating and ventilation single-body rack in the external circulation mode. And collecting the heating ventilation single body noise data corresponding to each whole vehicle sample. The noise test of the heating ventilation unit needs to be carried out by means of a set of silent air supply system with adjustable flow and back pressure. The warm single noise test is divided into two parts. The first part is to hang the heating ventilation by an elastic rope, an external circulation air inlet is connected into the system, back pressure is applied to the heating ventilation through the external circulation air inlet, and noise is tested in three modes of blowing surface full-cold external circulation, blowing foot full-heat external circulation and defrosting full-heat external circulation. The method comprises the steps of setting working voltage (V) of an air blower during a rack heating and ventilation noise test according to voltage of each gear of each mode of the whole vehicle, adjusting a backpressure loading value of a heating and ventilation external circulation air inlet, collecting noise data of a heating and ventilation single rack in the current state when current (A) and rotating speed (rpm) of the air blower under certain backpressure are matched with current (A) and rotating speed (A) during the whole vehicle noise test, and arranging microphone measuring points to simulate the relative position of the right ear of a driver of the whole vehicle.
Fig. 3 is a schematic diagram of the implementation of the noise and related parameter acquisition of the heating and ventilation single-body rack in the internal circulation mode. And the second part is only aiming at the 'heating ventilation blowing surface full-cold internal circulation mode', an external air supply system is not needed, voltage of each gear of the whole vehicle is directly provided for the air blower by a stabilized voltage power supply, and noise data are collected at the position of a microphone measuring point where the relative position of the right ear of a driver of the whole vehicle is simulated.
And respectively carrying out correlation analysis on the whole vehicle heating and ventilation noise data and the single rack noise data in four modes of blowing surface full-cold external circulation, foot blowing full-hot external circulation, defrosting full-hot external circulation and blowing surface full-cold internal circulation according to a statistical principle to obtain a correlation function. Taking the total sound pressure level dB (A) of the whole vehicle heating and ventilation as an independent variable; the heating ventilation monomer noise (except for blowing surface full-cooling internal circulation) is obtained by testing on the premise that the monomer heating ventilation total sound pressure level dB (A) obtained by testing the simulated whole vehicle condition is used as a dependent variable, namely the blower voltage (V), the current (A), the rotating speed rpm, the air volume m3/h and the system backpressure Pa of the simulated whole vehicle state of the external circulation air inlet under the whole vehicle condition are used as a dependent variable. Establishing a regression equation, carrying out statistical analysis, investigating the significance of the model, carrying out residual analysis and correcting and confirming the regression model. And (4) carrying out validity and confidence degree inspection on the obtained regression model by using the measured data of the total sound pressure level of the whole vehicle and the heating ventilation unit, and finally determining that the prediction function has practical value.
The method comprises the steps of obtaining the heating and ventilation working voltage of the whole vehicle, testing the heating and ventilation noise and parameters of the whole vehicle, respectively setting four modes of blowing surface full-cold external circulation, blowing foot full-hot external circulation, defrosting full-hot external circulation and blowing surface full-cold internal circulation, and setting up whole vehicle heating and ventilation noise data and heating and ventilation single frame noise data to set up a test data summary table.
In this embodiment, for a vehicle type (a sample), a total sound pressure level db (a) of the entire vehicle, a voltage (V) at each gear of the blower, a current (a), and a working rotational speed (rpm) of the blower are obtained. Under the idling state of the whole vehicle, four modes of heating and ventilation on the whole vehicle, namely blowing surface full-cold external circulation, blowing foot full-hot external circulation, defrosting full-hot external circulation and blowing surface full-cold internal circulation are respectively determined, and the working voltage of a blower from the first gear to the highest gear is determined; when the vehicle is not started, the power is supplied to the blower by an external voltage-stabilized power supply S1 to obtain voltage (V) and recording current (A) of each mode and gear; punching a volute of the air blower, pasting reflective paper on an impeller of the air blower, recording the working rotating speed (rpm) of the air blower by using a photoelectric tachometer, and recording the total sound pressure level dB (A) from 1 gear to the highest gear of the air blower in four modes by using a noise acquisition system; the results of the collation data are tabulated below.
In the present embodiment, the first and second electrodes are,aiming at a vehicle type (a sample), obtaining the total sound pressure level dB (A) and the air quantity Q (m) of a single rack of the vehicle (the sample)3H), system back pressure (Pa). And testing in a semi-anechoic chamber environment, flexibly suspending a sample piece to be tested, and connecting and sealing an external circulation air inlet of the sample piece to be tested with backpressure loading equipment. The arrangement position of the microphone wearing the windproof ball simulates the relative position of the right ear of the driver of the whole vehicle and is connected with a noise acquisition system. And (3) obtaining voltages of all gears of each mode according to real vehicle test by using an external power supply mode to supply power to the blower, and monitoring the rotating speed of the blower by using a tachometer. The table 1 formed by arrangement sequentially tests the total sound pressure level dB (A) and the air quantity Q (m) of all gears of three modes of full-cold external circulation of a blowing surface, full-hot external circulation of a blowing foot and full-hot external circulation of defrosting3H) and recording the adjusted backpressure value. Taking the highest gear measuring point of the blowing surface total cooling external circulation as an example, the detailed description is as follows: the collected power supply voltage of the blower is VmaxThe external power supply provides a voltage value V for the blowermaxMeanwhile, by continuously adjusting a back pressure adjusting device connected with an air inlet of the heating ventilation external circulation, when a certain back pressure P causes the rotating speed rpm of the blower and the rpm in the table 1maxEqual or blower current A and A in Table 1maxWhen the two are equal, the back pressure value P is recorded, and the total sound pressure level dB (A) of the heating and ventilation single body is collected under the current working condition. And disconnecting the external circulation air inlet of the tested part from the backpressure regulating device, supplying power by the voltage of each gear of the blowing surface full-cold internal circulation mode in the table, and testing the total sound pressure level dB (A) of each gear. The test data records were collated and tabulated as shown in table 2 below.
Data for a sufficient number of samples is collected and collated. Regression analysis was performed on the data according to statistical principles. And respectively carrying out correlation analysis on the whole vehicle heating ventilation noise data and the single rack noise data in four modes of blowing surface full-cold external circulation, blowing foot full-hot external circulation, defrosting full-hot external circulation and blowing surface full-cold internal circulation to obtain a correlation function. And establishing a multivariate regression equation, carrying out statistical analysis, investigating the significance of the model, residual analysis and correction and confirmation of the regression model by taking the total sound pressure level dB (A) of the whole vehicle heating and ventilation as an independent variable Y and the total sound pressure level dB (A) of the monomer heating and ventilation, the voltage (A) of the blower, the current (A), the rotating speed rpm, the air volume m3/h and the backpressure Pa as dependent variables X. And (6) checking the model. And substituting the regression function, and carrying out validity and confidence test on the obtained regression model by using the measured data of the total sound pressure level of the whole vehicle and the warm-ventilation single body.
The whole vehicle heating and ventilation total sound pressure level Y obeys normal distribution, air quantity, back pressure and blower rotating speed, voltage and current which are used as independent variables are eliminated as non-significant factors, and a unitary regression model between the monomer heating and ventilation total sound pressure level X and the mean value of the whole vehicle heating and ventilation total sound pressure level Y is established: and Y is a + bX, wherein a and b are constant regression coefficients, the effectiveness and confidence coefficient of the regression model are checked by using the data of the total sound pressure level of the whole vehicle and the single body heating and ventilation in the data summary table, the regression model is corrected and confirmed through residual analysis, and the heating and ventilation noise of the vehicle is predicted through the confirmed regression model.
As shown in fig. 4, in the blowing-surface full-cooling internal circulation mode, the total sound pressure level db (a) from the finished vehicle heating and ventilation 1 st gear L1 to the highest gear Lmax of the A, B, C … … N vehicle is used as the dependent variable Y1 … … Ymax, and the corresponding unit heating and ventilation total sound pressure level db (a) of the A, B, C … … N vehicle is used as the dependent variable X1 … … Xmax, wherein the unit heating and ventilation total sound pressure level db (a) X is regarded as a non-random variable, and the finished vehicle heating and ventilation total sound pressure level db (a) YA obeys normal distribution, thereby establishing a relation between the mean values of XA and YA: YA is equal to aA + bAXA, wherein YA represents the total sound pressure level dB (A) of the whole vehicle heating and ventilation in the blowing surface full-cooling internal circulation mode, XA is the total sound pressure level dB (A) of the whole vehicle heating and ventilation in the blowing surface full-cooling internal circulation mode, aA and bA are regression coefficients of the blowing surface full-cooling internal circulation mode, and the final confirmation is carried out by observing the significance of the model, analyzing residual errors and correcting the regression model. And collecting related data, substituting the data into a regression function, and carrying out validity check and confidence check on the obtained regression model by using the measured data of the total sound pressure level of the whole vehicle and the heating ventilation unit. The regression models of the blowing surface full-cold external circulation, the blowing foot full-hot external circulation and the defrosting full-hot external circulation modes are obtained in the same process, and the method specifically comprises the following steps:
as shown in fig. 5, in the blowing-surface full-cooling external circulation mode, after the air quantity Q, the backpressure Pa, the rotating speed rpm of the blower, the voltage V and the current a which are used as independent variables are excluded as insignificant factors, the model is simplified into a unitary regression model, where YB is c + dXB, where YB represents the total sound pressure level db (a) of the whole vehicle heating and ventilation in the blowing-surface full-cooling external circulation mode, XB is the total sound pressure level db (a) of the single heating and ventilation in the blowing-surface full-cooling internal circulation mode, and c and d are constant regression coefficients of the blowing-surface full-cooling external circulation mode.
As shown in fig. 6, the single regression model of the foot-blowing total-heat-cycle pattern: and YC is e + fXC, wherein YC represents the total sound pressure level dB (A) of the whole heating and ventilation in the blowing surface total-heat external circulation mode, XC represents the total sound pressure level dB (A) of the single heating and ventilation in the blowing surface total-heat internal circulation mode, and e and f are constant regression coefficients. Unitary regression model of defrost total thermal external circulation mode: and YD is g + hXD, wherein YD represents the total heating and ventilation sound pressure level dB (A) of the whole vehicle in the defrosting total heat external circulation mode, XD is the total heating and ventilation sound pressure level dB (A) of the monomer in the defrosting total heat external circulation mode, and e and f are defrosting total heat constant regression coefficients.
The method is supported by multiple samples and big data, and establishes a relation model between noise data of the whole heating and ventilating vehicle and noise of the heating and ventilating single-body rack and other related parameters based on a statistical principle, so that the target decomposition from the noise level of the whole heating and ventilating vehicle to the noise level of the heating and ventilating single-body rack and the prediction from the noise level of the heating and ventilating single-body rack to the noise level of the whole heating and ventilating vehicle can be realized. The requirements of automobile research and development work are met.
Claims (10)
1. The method for predicting the heating and ventilation noise of the automobile is characterized by comprising the steps of testing the total sound pressure level of each gear of the whole automobile heating and ventilation in various working modes and corresponding voltage, current and blower rotating speed data acquired after a heating and ventilation volute is punched to acquire the heating and ventilation noise of the whole automobile, applying back pressure to the heating and ventilation through an external circulation air inlet by a mute air supply system with adjustable flow and back pressure, and acquiring the noise data of a heating and ventilation single frame in external circulation and internal circulation modes; establishing a test data summary table according to the whole vehicle heating and ventilation noise data and the heating and ventilation single-body rack noise data; the method comprises the steps of establishing a multiple regression model by taking the total sound pressure level of the whole vehicle heating and ventilation as an independent variable and the total sound pressure level of the single heating and ventilation, the voltage, the current, the rotating speed, the air volume and the back pressure as dependent variables, analyzing whole vehicle heating and ventilation noise data and single rack noise data of all modes respectively, carrying out validity and confidence degree inspection on the regression model by using the data of the total sound pressure level of the whole vehicle and the single heating and ventilation in a data summary table, correcting and confirming the regression model through residual error analysis, and predicting the heating and ventilation noise of the vehicle through the confirmed regression model.
2. The method according to claim 1, wherein the whole vehicle heating and ventilating total sound pressure level Y obeys normal distribution, the air volume, the back pressure and the blower rotating speed, the voltage and the current as independent variables are excluded as non-significant factors, and a univariate regression model between the monomer heating and ventilating total sound pressure level X and the average value of the whole vehicle heating and ventilating total sound pressure level Y is established: y ═ a + bX, where a and b are constant regression coefficients.
3. The method according to claim 1 or 2, wherein the noise data collected in each mode of the external circulation is that when the current and the rotating speed of the blower at a certain back pressure of the air inlet of the external circulation of the heating and ventilation coincide with the noise current and the rotating speed of the whole vehicle, the noise data of the heating and ventilation single-body rack in the current state is collected; the noise data of the heating and ventilation single-body rack in the current state is acquired by directly providing voltage of each gear of the whole vehicle for the blower by a voltage-stabilized power supply in the mode of acquiring noise in the internal circulation mode.
4. The method of claim 1 or 2, wherein testing the total sound pressure level of each gear of the whole vehicle heating and ventilating in each operating mode comprises: for the external circulation mode, acquiring power supply voltage of each gear of the air blower according to the heating and ventilation data of the whole vehicle, continuously adjusting a mute ventilation system to provide system backpressure for a tested sample at an external circulation air inlet, traversing a test data summary table, recording a backpressure value when the rotating speed of the air blower is equal to the maximum rotating speed in the test data summary table or the current of the air blower is equal to the maximum current in the test data summary table through a certain backpressure, and testing the total sound pressure level corresponding to each gear under the current working condition; and in each internal circulation mode, the connection between the external circulation air inlet of the tested sample and the mute ventilation system is disconnected, the voltage of each gear of the blowing surface full-cold internal circulation mode in the test data summary table is supplied by the voltage-stabilized power supply, and the total sound pressure level corresponding to each gear is tested.
5. The method according to one of claims 1 to 4, characterized in that the total sound pressure level of each gear from one gear to the highest gear of four modes of full-cold external circulation of blowing surface, full-cold internal circulation of blowing surface, full-hot internal circulation of blowing foot and full-hot internal circulation of defrosting and the blower rotating speed collected after punching of the heating ventilation volute are collected, an external power supply is adopted to provide the voltage of each gear of each mode of the working state of the vehicle, and the noise data of the whole vehicle heating ventilation single-body rack and the whole vehicle heating ventilation total sound pressure level are collected at the position where the microphone measuring points are arranged to simulate the relative position of the right ear of a driver of the whole vehicle.
6. The method of any one of claims 1-4, wherein testing heating and ventilation cell-rack noise data comprises: hanging the heating ventilation by using an elastic rope, connecting an external circulation air inlet into a system, applying back pressure to the heating ventilation through the external circulation air inlet, and testing noise in a blowing surface full-cold external circulation mode, a blowing foot full-heat external circulation mode and a defrosting full-heat external circulation mode; the working voltage of the air blower during the warm logical noise test of rack is given according to the voltage of each gear of each mode of whole car, adjusts the back pressure of warm logical extrinsic cycle air intake, gathers the warm logical monomer rack noise data of current state.
7. A car warm and ventilate the noise test system, characterized by that, hang the sample to be measured on the monomer suspension bracket of warm and ventilate flexibly with the elastic rope for hanging, the external circulation air intake of the sample to be measured is connected with silent ventilation system, the microphone is arranged in the relative position of the right ear of driver of the simulation whole car, connect microphone, BNC line, noise data acquisition front end, noise collection system that the data acquisition unit makes up, the stabilized voltage power supply supplies power for testing the sample, and monitor the rotational speed of the blower with the acquisition system of the photoelectric rotational speed; the noise collection system tests the total sound pressure level of each gear of the whole heating ventilation in various working modes and corresponding voltage, current and blower rotating speed data collected after the heating ventilation volute is punched, obtains the whole heating ventilation noise, applies back pressure to the heating ventilation through the air supply system which is silent and adjustable in flow and back pressure through the external circulation air inlet, and collects noise data of the heating ventilation single-body stand in the external circulation mode and the internal circulation mode; establishing a test data summary table according to the whole vehicle heating and ventilation noise data and the heating and ventilation single-body rack noise data; and establishing a unitary regression model by taking the total sound pressure level of the whole vehicle heating and ventilation as an independent variable and the total sound pressure level of the single heating and ventilation as a dependent variable.
8. The system of claim 7, wherein the overall heating and ventilation sound pressure level Y of the whole vehicle obeys normal distribution, the air volume, the back pressure and the rotating speed, the voltage and the current of the blower are excluded as independent variables as non-significant factors, and a univariate regression model between the overall heating and ventilation sound pressure level X of the single body and the average value of the overall heating and ventilation sound pressure level Y of the whole vehicle is established: and Y is a + bX, wherein a and b are constant regression coefficients, the effectiveness and confidence coefficient of the regression model are checked by using the data of the total sound pressure level of the whole vehicle and the single body heating and ventilation in the data summary table, the regression model is corrected and confirmed through residual analysis, and the heating and ventilation noise of the vehicle is predicted through the confirmed regression model.
9. The system according to claim 7 or 8, characterized in that in each external circulation mode, when the current and the rotating speed of the blower at a certain back pressure of the air inlet of the heating ventilation external circulation coincide with the noise current and the rotating speed of the whole vehicle, the noise data of the heating ventilation single-body rack in the current state is collected; under the internal circulation mode, the voltage of each gear of the whole vehicle is directly provided for the blower by the voltage-stabilized power supply, and the noise data of the heating and ventilation single-body rack in the current state is acquired.
10. The system according to claim 7 or 8, characterized in that for the external circulation mode, the supply voltage of each gear of the blower is acquired by collecting the heating and ventilation data of the whole vehicle, meanwhile, the mute ventilation system is continuously adjusted to provide the system backpressure of the tested sample at the external circulation air inlet, the test data summary table is traversed, when a certain backpressure makes the rotating speed of the blower equal to the maximum rotating speed in the test data summary table or the current of the blower equal to the maximum current in the test data summary table, the backpressure value is recorded, and the total sound pressure level of the heating and ventilation monomers is collected under the current working condition; and in each internal circulation mode, the connection between the external circulation air inlet of the tested sample and the mute ventilation system is disconnected, the voltage of each gear of the blowing surface full-cold internal circulation mode in the test data summary table is supplied by the voltage-stabilized power supply, and the total sound pressure level corresponding to each gear is tested.
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| CN104075798A (en) * | 2014-06-16 | 2014-10-01 | 华晨汽车集团控股有限公司 | Automobile heating ventilation air conditioner monomer vibration noise testing device and using method thereof |
| JP2015225454A (en) * | 2014-05-27 | 2015-12-14 | 日本電信電話株式会社 | Multiple regression analysis device, multiple regression analysis method, and program |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| JP2015225454A (en) * | 2014-05-27 | 2015-12-14 | 日本電信電話株式会社 | Multiple regression analysis device, multiple regression analysis method, and program |
| CN104075798A (en) * | 2014-06-16 | 2014-10-01 | 华晨汽车集团控股有限公司 | Automobile heating ventilation air conditioner monomer vibration noise testing device and using method thereof |
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