CN113588206B - Vehicle interior wind noise prediction method based on oil sludge model wind tunnel test - Google Patents

Vehicle interior wind noise prediction method based on oil sludge model wind tunnel test Download PDF

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CN113588206B
CN113588206B CN202111042042.8A CN202111042042A CN113588206B CN 113588206 B CN113588206 B CN 113588206B CN 202111042042 A CN202111042042 A CN 202111042042A CN 113588206 B CN113588206 B CN 113588206B
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oil sludge
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wind noise
sludge model
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CN113588206A (en
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王登峰
黄丽那
李俊
曹晓琳
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Jilin University
Changchun University
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Changchun University
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M9/00—Aerodynamic testing; Arrangements in or on wind tunnels
    • G01M9/02—Wind tunnels
    • G01M9/04—Details
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M17/00—Testing of vehicles
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M9/00—Aerodynamic testing; Arrangements in or on wind tunnels
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Abstract

The invention discloses an in-vehicle wind noise prediction method based on an oil sludge model wind tunnel test, which comprises the following steps: installing an aluminum plate at the position of a driver side window of an oil sludge model of a predicted vehicle type, sealing and fixing, arranging a plurality of first acceleration sensors on the inner side of the aluminum plate, and arranging a first sound transmitter on the oil sludge model on the opposite side of the aluminum plate; a plurality of second acceleration sensors are arranged on the inner side of the glass of the side window of the driver of the competitive bidding vehicle, and a second microphone is arranged in the competitive bidding vehicle; sealing the door and the window of the competitive products vehicle; under the same working condition, respectively carrying out wind noise tests on the oil sludge model and the competition vehicle in a wind tunnel; acquiring acceleration signals in the oil sludge model through a plurality of first acceleration sensors, and acquiring a wind noise A calculation value in the oil sludge model through a first microphone; acquiring acceleration signals in the competitive product vehicle through a plurality of second acceleration sensors, and acquiring wind noise A calculation value in the competitive product vehicle through a second microphone; and obtaining the calculation value of the wind noise A in the actual vehicle of the predicted vehicle type.

Description

Vehicle interior wind noise prediction method based on oil sludge model wind tunnel test
Technical Field
The invention belongs to the technical field of wind tunnel tests, and particularly relates to an in-vehicle wind noise prediction method based on an oil sludge model wind tunnel test.
Background
With the development of highway traffic and automobile technology, high-speed driving becomes a common driving condition for people, and the noise problem brought by high-speed driving, namely automobile wind noise, cannot be ignored. The wind noise in the vehicle is mainly generated by the A column, the outside rearview mirror and the like and is transmitted into the vehicle through window glass, body plates, gaps and the like. The problem of leakage noise can be solved by optimizing sealing in the real vehicle stage; in the early stage of automobile modeling development, a main research method is to pass acoustic simulation and oil sludge model wind tunnel tests, wherein the simulation target is difficult to determine, and in-automobile noise simulation needs to be repeatedly modeled and modified according to an optimization process, so that the process is complex and takes a long time, and the optimization result cannot be visually seen; however, the wind tunnel test of the traditional oil sludge model focuses on the research of a wind noise source, namely an external sound field, and lacks the research of a vibration source of wind noise, and the vibration source can embody the coupling effect of the wind noise and the vibration. Therefore, a wind tunnel test for updating the oil sludge model is urgently needed to visually judge whether the wind noise in the automobile is improved or not, and a test target and an optimized direction can be determined in the early stage of wind noise development, so that the wind noise development process of the automobile is enriched.
Disclosure of Invention
The invention provides an in-vehicle wind noise prediction method based on an oil sludge model wind tunnel test, which can accurately and conveniently predict the in-vehicle wind noise of a predicted vehicle type.
The technical scheme provided by the invention is as follows:
an in-vehicle wind noise prediction method based on an oil sludge model wind tunnel test comprises the following steps:
mounting an aluminum plate at a driver side window position of an oil sludge model of a predicted vehicle type, sealing and fixing, and dividing the aluminum plate into a plurality of test areas;
wherein a cavity is arranged between the inner side of the aluminum plate and the clay model;
arranging a plurality of first acceleration sensors on the inner side of the aluminum plate, and arranging a first sound transmitter on the clay model on the opposite side of the aluminum plate;
the first acceleration sensors are arranged in one-to-one correspondence with the test areas, and the first microphone is arranged at a position corresponding to the right ear of a driver in the real vehicle;
a plurality of second acceleration sensors are arranged on the inner side of the glass of the driver side of the competitive bidding vehicle, and a second microphone is arranged in the competitive bidding vehicle; sealing the door and the window of the competitive products vehicle;
the positions of the second sensors correspond to the positions of the first sensors one by one, and the positions of the second microphones correspond to the positions of the first microphones;
secondly, under the same test working condition, respectively carrying out wind noise test on the oil sludge model and the racing car in a wind tunnel; acquiring acceleration signals in the oil sludge model through the plurality of first acceleration sensors, and acquiring wind noise A calculation value in the oil sludge model through the first microphone; acquiring acceleration signals in the competitive products vehicle through the plurality of second acceleration sensors, and acquiring wind noise A calculation value in the competitive products vehicle through the second microphone;
thirdly, obtaining a calculation value of the wind noise A in the actual vehicle of the predicted vehicle type;
SPL(A)(wind noise in real vehicle)＝SVL(oil sludge model)-Lcorr(Competition product)-LAFilter；
In the formula, SPL (A)(wind noise in real vehicle)Representing the wind noise A calculation value, SVL, of the actual vehicle of the predicted vehicle type(oil sludge model)Represents the weighted vibration value of the vehicle window area of the oil sludge model, Lcor(Competition product)And the LAFilter represents the correlation coefficient from the noise in the competitive car to the window glass on the driver side, and the A weighting parameter value.
Preferably, in the first step, the aluminum plate is divided into a plurality of test areas according to a side window pressure; wherein each of the test regions corresponds to a different side window pressure fluctuation range.
Preferably, the weighted oil sludge model window area vibration value is as follows:
Figure BDA0003249651140000021
wherein n represents the number of test areas, AiRepresenting the weighted area, v, of the ith test areaiRepresenting a velocity value, v, calculated from the integral of the first acceleration sensor test signal of the i test areas0A reference velocity value is indicated.
Preferably, the correlation coefficient of the in-vehicle noise of the racing car to the driver-side window glass is: lcor (liquid chromatography device)(Competition product)＝SPLlin(Competition product)-SVL(Competition product)；
Wherein, SPLlin(Competition product)＝SPL(A)(Competition product)-LAFilter；
In the formula, SPLlin(Competition product)Representing non-A weighting value, SVL, of in-car noise of a racing car(Competition product)And the vibration value after the area of the vehicle window of the competitive product is weighted is represented, and the LAFilter represents the value of the A weighting parameter.
Preferably, a sound absorbing layer is provided on the sludge model on the opposite side of the aluminum plate.
Preferably, the test conditions are as follows:
the test environment temperature is 25 ℃ and 2 ℃, the relative humidity is 58-63%, the atmospheric pressure is 101.4-101.8 KPa, and the test background noise is less than 61dB (A) when the wind speed is 160 km/h; the value range of the tested wind speed is 80-120 km/h.
Preferably, the distance between the first acceleration sensor and the edge of the aluminum plate is 10cm or more.
Preferably, before the wind noise test, the method further comprises:
and positioning the oil sludge model and the competition vehicle at the position, close to the front, of the center of the wind tunnel balance turntable, and enabling the included angle between the longitudinal symmetric plane of the vehicle body and the central symmetric plane of the wind tunnel to be within the range of 0 +/-0.1 degree.
The invention has the beneficial effects that:
the vehicle interior wind noise prediction method based on the oil sludge model wind tunnel test predicts and develops vehicle type vehicle interior wind noise level by synthesizing the transfer function of a competitive product vehicle, and evaluates the target achievement condition; the wind noise target of the whole vehicle is decomposed into sub-targets of wind noise caused by modeling and acoustic packages, so that the in-vehicle wind noise of the predicted vehicle type can be accurately and conveniently predicted; in the subsequent oil sludge model optimization and improvement process, the improvement condition of the wind noise in the vehicle can be intuitively predicted.
Drawings
Fig. 1 is a flowchart of an in-vehicle wind noise prediction method based on an oil sludge model wind tunnel test according to the present invention.
Fig. 2 is a schematic view of an installation mode of an aluminum plate and a sensor on the clay model.
FIG. 3 is a graph of the external ear position sound pressure level of the racing car driver as a function of the vibration area Lcor of the side window in the embodiment of the invention.
Fig. 4 is a comparison graph of the sludge model and the racing car SVL obtained by the area weighting algorithm in the embodiment of the present invention.
Fig. 5 is a verification comparison diagram of the predicted value of the wind noise in the predicted real vehicle and the simulated value in the embodiment of the invention.
FIG. 6 is a comparison graph of the wind noise levels SPL before and after the optimization of the external ear positions of the drivers of the vehicles predicted to be developed in the embodiment of the invention.
Detailed Description
The present invention is further described in detail below with reference to the attached drawings so that those skilled in the art can implement the invention by referring to the description text.
As shown in fig. 1, the invention provides an in-vehicle wind noise prediction method based on an oil sludge model wind tunnel test, which specifically comprises the following processes:
first, preparation of oil sludge model test state
As shown in fig. 2, a groove 110 is formed at a position of the clay model 100 corresponding to the driver side window, an aluminum plate 120 (the window glass is replaced by the aluminum plate) is mounted at a position of the clay model 100 corresponding to the driver side window, screws 121 are uniformly arranged around the aluminum plate 120 to fix the aluminum plate 120, and a rubber pad 122 is used to seal between the outer edge of the aluminum plate 120 and the clay model 100. A certain space is left between the aluminum plate 120 and the opposite side of the sludge model (part), and the sound absorption layer 111 is arranged on the sludge model 100 on the opposite side of the aluminum plate 120 (at the bottom of the groove 110). The reason for selecting the aluminum plate to replace the side window glass is that the coupling frequency of the aluminum plate with the same thickness is similar to that of glass, and the aluminum plate is in accordance with the consideration of no finished glass in the early development stage and the convenience of replacing the aluminum plate. Analyzing the distribution of the flow field on the surface of the side window by combining the simulation result, dividing the surface of the side window into a plurality of test regions, arranging a plurality of first acceleration sensors 130 on the inner side of the aluminum plate 120, and arranging the first acceleration sensors 130 in one-to-one correspondence with the test regions. Wherein the standard precision of the first acceleration sensor is 1 percent, and the measuring range is +/-100- +/-6000 g. Arranging a first sound transmitter 140 inside the groove 110 of the clay model 100, wherein the first sound transmitter 140 is arranged at a position corresponding to the right ear of the driver; because the internal space and the interior materials of the clay model 100 are different from those of a real vehicle, the microphone test of the first microphone 140 is only used as a reference signal transmitted to the sound pressure level in the vehicle and cannot be used for quantitatively comparing and evaluating the external ear wind noise of the actual driver, the signal microphone is in accordance with GB/T3785, and the calibration is carried out according to the regulations before the test. The cavity of the clay model 100 is provided with a wire hole 150, and a sensor wire 160 penetrates out of the wire hole 150, so that the test signals of the first acceleration sensor 130 and the first microphone 140 are accurately transmitted from inside to outside.
Preferably, the first acceleration sensor 130 is spaced more than 10cm from the edge of the aluminum plate 120 to avoid the influence of the boundary fixing scheme on the test result.
Second, preparation of competitive products vehicle
A plurality of second acceleration sensors are arranged on the inner side of the glass of the side window of the driver of the competitive bidding vehicle, and a second microphone is arranged in the competitive bidding vehicle; the positions of the second sensors correspond to the positions of the first sensors one by one, and the positions of the second microphones correspond to the positions of the first microphones. And (4) lifting the four-door glass of the competitive bidding vehicle, closing the vehicle door and opening the internal circulation. And sealing the car door and the car window of the competitive products car, and specifically comprises the following steps: and closing the door windows of the competitive vehicle, sealing the gaps between the doors and the vehicle body and between the front door and the rear door on the outer side of the vehicle, and sealing the positions of sealing strips, glass water cuts and the like on the inner side of the vehicle. In the embodiment, the whole racing car is sealed by adopting a tesa cloth-based adhesive tape, the thickness of the adhesive tape is not more than 350 microns, the adhesive tape is adhered along with the shape, folds or bubbles cannot occur, and gaps and holes which cannot be sealed in place can not be seen by naked eyes.
The specific method for determining the mounting position of the second microphone comprises the following steps: and adjusting the included angle between the back of the driver seat and a plumb line of the racing car to be 24 degrees, arranging a second microphone (a free field microphone) at a position (the position of the right ear of the driver) which is 10cm +/-1 cm away from the surface of the headrest of the seat at the same height with the center position of the headrest of the seat, and pointing the second microphone (the microphone) to the front of the vehicle. The signal microphone should conform to GB/T3785 and should be calibrated according to the regulations before the test.
In the embodiment, the whole side window pressure fluctuation range is within 80-110 dB, and the window pressing force fluctuation value is equally divided into 6The fluctuation range, according to which the whole vehicle window is divided into 6 test areas A1～A6Each test area corresponds to a fluctuation range; a. the1The area size of a test area representing the pressure fluctuation range of 80-85 dB, A2And (4) the area of a test area representing the pressure fluctuation range of 86-90 dB, and so on.
Third, testing the working conditions
Testing environmental condition requirements: the test is carried out in a wind tunnel, the test environment temperature is 25 ℃ and 2 ℃, the relative humidity is 58-63%, the atmospheric pressure is 101.4-101.8 KPa, and the tested background noise is less than 61dB (A) at 160 km/h. The value range of the tested wind speed is 80-120 km/h, and the test can be carried out at the wind speed of 80km/h, the wind speed of 100km/h or the wind speed of 120 km/h.
And positioning the oil sludge model at a position slightly in front of the center of the wind tunnel balance turntable, and adjusting the included angle between the longitudinal symmetric plane of the vehicle body and the central symmetric plane of the wind tunnel to ensure that the included angle is within the range of 0 +/-0.1 degree. The test working conditions of the competitive product vehicle and the oil sludge model are completely the same.
Testing a sound pressure level signal of a microphone in the oil sludge model cavity and an acceleration signal of vibration of the inner side of the aluminum plate at the position of a driver side window under a set wind speed working condition; and testing the sound pressure level signal of the microphone in the racing car and the acceleration signal of the vibration of the inner side of the glass at the position of the side window of the driver.
Fourth, data processing
(1) Calculating a vibration source:
adopting a driver side aluminum plate vibration horizontal area weighting method to calculate the vibration value SVL after weighting the area of the fatlute model window(oil sludge model)Wherein SVL represents the side window vibration level;
Figure BDA0003249651140000061
wherein n represents the number of test areas, AiRepresenting the weighted area, v, of the ith test areaiRepresenting the velocity value, v, calculated by integration of the first acceleration sensor test signal for the i test zones0A reference velocity value is indicated.
Wherein v is0＝p0/(ρ×c)；p0＝20×10-6N/m2For reference sound pressure, ρ is the air density at 20 ℃ and c is the sound velocity at 20 ℃.
(2) Calculating the sound pressure level of the position of the external ear (right ear) of a competitive bidding vehicle driver;
SPLlin(Competition product)＝SPL(A)(Competition product)-LAFilter；
In the formula, SPLlin(Competition product)Representing non-A weighting value, SVL, of in-car noise of a racing car(Competition product)And the vibration value after the area of the vehicle window of the competitive product is weighted is represented, and the LAFilter represents the value of the A weighting parameter.
Wherein the values of LAFilter are shown in Table 1.
TABLE 1 LAFilter coefficient Table
Figure BDA0003249651140000062
Figure BDA0003249651140000071
(3) Extraction of Lcor transfer function of competitive product vehicle
Lcorr(Competition product)＝SPLlin(Competition product)-SVL(Competition product)；
In the formula, Lcor(Competition product)SVL (singular value decomposition) representing the correlation coefficient from the interior noise of the racing car to the side window glass of the driver(Competition product)Representing a vibration value after the weight of the vehicle window area of the competitive products is calculated (the same as the calculation method of the oil sludge model);
namely:
Figure BDA0003249651140000072
wherein n represents the number of test areas of the competitive products vehicle, Ai' weighting area, v, indicating ith test area of competitive vehiclei' indicates a second acceleration from the i test areasVelocity value, v, obtained by integrating sensor test signals0Representing a reference speed value;
wherein v is0＝p0/(ρ×c)；p0＝20×10-6N/m2For reference sound pressure, ρ is the air density at 20 ℃ and c is the sound velocity at 20 ℃.
(4) Predicting the wind noise in the actual vehicle through oil sludge model vibration source and competition vehicle Lcor function synthesis:
SPL(A)(wind noise in real vehicle)＝SVL(oil sludge model)-Lcorr(Competition product)-LAFilter。
According to the method, the test data of the oil sludge model represents the external form of the real vehicle, the test data of the competitive vehicle represents the influence of the internal environment of the vehicle, and the wind noise in the real vehicle is predicted by a method combining the test data and the test data. The SVL size can be used for evaluating the side window vibration level of a region with large influence on wind noise sensitivity due to shapes of an A column, an outer rearview mirror, a triangular window and the like; because the noise level in the oil sludge model stage is difficult to obtain, the Lcor transfer function of the competitive product vehicle from the vibration position of the side window to the external ear position of a driver replaces the transfer function of the real vehicle, the wind noise level in the real vehicle is obtained by adopting a linear superposition method, the real vehicle can reach the acoustic packaging level of the competitive product vehicle under the precondition, and the wind noise target can be effectively divided into a wind noise target caused by modeling and a wind noise target caused by acoustic packaging by the prediction method, so that the influence of a wind noise source and a path is locked, and the effect of an optimization scheme can be visually evaluated.
By the method, objective data of the oil sludge model side window vibration source in the wind tunnel test can be directly and quickly obtained, the test result is visual and accurate, and the level of wind noise in a vehicle model can be predicted and developed by combining a function Lcor from the vibration of the side window position of a competitive product vehicle to the external ear position of a driver; the wind noise problem of automobile early-stage development can be comprehensively optimized by combining the traditional oil sludge model test and the acoustic simulation result. The method has the advantages of clear target, simple operation and wide applicability, and provides an intuitive, accurate and practical prediction and evaluation method for the analysis of wind noise.
Examples
(1) The sampling frequency was set to 48 kHz; the sampling time was set to 10 s.
(2) The test was conducted at a wind speed of 120km/h under a 0 degree declination for sound pressure level signals of microphones in the clay model cavity and in the racing car and acceleration signal tests of vibration inside an aluminum plate (window glass) at the driver side window position.
(3) Predicting the noise in the real vehicle through the following calculation process:
1) calculating a vibration source:
calculating the vibration value SVL after the oil sludge model window area weighting by adopting a driver side aluminum plate vibration horizontal area weighting method(oil sludge model)Wherein SVL represents the side window vibration level;
Figure BDA0003249651140000081
wherein n represents the number of test areas, AiRepresenting the weighted area, v, of the ith test areaiRepresenting a velocity value, v, calculated from the integral of the first acceleration sensor test signal of the i test areas0A reference velocity value is indicated.
Wherein v is0＝p0/(ρ×c)＝50×10-9m/s；
p0＝20×10-6N/m2，ρ＝1204kg/m2，c＝343m/s。
2) Calculating the sound pressure level of the position of the external ear (right ear) of a competitive bidding vehicle driver;
SPLlin(Competition product)＝SPL(A)(Competition product)-LAFilter；
In the formula, SPLlin(Competition product)Representing non-A weighting value, SVL, of in-car noise of a racing car(Competition product)And the vibration value after the area of the vehicle window of the competitive product is weighted is represented, and the LAFilter represents the value of the A weighting parameter.
Wherein the values of LAFilter are shown in Table 1.
3) Extracting an Lcorr transfer function of the competitive product vehicle, wherein the Lcorr transfer function in the embodiment is shown in fig. 3;
Lcorr(Competition goods))＝SPLlin(Competition product)-SVL(Competition product)；
In the formula, Lcor(Competition product)SVL (singular value decomposition) representing correlation coefficient from in-car noise of competitive car to driver side window glass(Competition product)Representing a vibration value after the weight of the vehicle window area of the competitive products is calculated (the same as the calculation method of the oil sludge model);
namely:
Figure BDA0003249651140000091
wherein n represents the number of test areas of the competitive products vehicle, Ai' weighting area, v, indicating ith test area of competitive vehiclei' denotes a velocity value calculated by integrating the test signal of the second acceleration sensor of the i test areas, v0Representing a reference speed value;
wherein v is0＝p0/(ρ×c)＝50×10-9m/s；
p0＝20×10-6N/m2，ρ＝1204kg/m2，c＝343m/s。
Taking the wind speed test data of a certain oil sludge model and a competitive product vehicle at a deflection angle of 0 degree of 120km/h as an example, the test result is shown in fig. 4, and the vibration level of the oil sludge model in the whole frequency band is higher than that of the competitive product vehicle as can be known through the analysis of the acceleration signals of the competitive product vehicle and the oil sludge model vibrating in the side window.
4) And (3) predicting the wind noise in the actual vehicle by synthesizing an oil sludge model vibration source and an Lcor function of the competitive vehicle:
SPL(A)(wind noise in real vehicle)＝SVL(oil sludge model)-Lcorr(Competition product)-LAFilter。
The prediction method provided by the invention is verified through a simulation test: as shown in fig. 5, it is shown that the predicted value of the wind noise in the vehicle is compared with the simulated value, the low-frequency range has slight deviation due to the influence of the simulation neglecting the floor, the high-frequency range has error within the acceptable range, and the whole noise level trend is consistent; the prediction method provided by the invention has higher reliability.
In the subsequent optimization process, the vibration level of the side window is reduced by modeling optimization and replacement of the aluminum plate (changing the thickness of the aluminum plate), and the internal noise of the Lcor synthetic oil sludge model is compared before and after optimization, and the test result is shown in FIG. 6, which shows that the test method predicts and evaluates the intuitiveness and feasibility of the wind noise in the vehicle at the oil sludge model stage, and has practical application value. By the method, model optimization improvement and noise prediction can be performed circularly until the predicted noise reaches the standard.
While embodiments of the invention have been described above, it is not limited to the applications set forth in the description and the embodiments, which are fully applicable in various fields of endeavor to which the invention pertains, and further modifications may readily be made by those skilled in the art, it being understood that the invention is not limited to the details shown and described herein without departing from the general concept defined by the appended claims and their equivalents.

Claims (6)

1. An in-vehicle wind noise prediction method based on an oil sludge model wind tunnel test is characterized by comprising the following steps:
mounting an aluminum plate at a driver side window position of an oil sludge model of a predicted vehicle type, sealing and fixing, and dividing the aluminum plate into a plurality of test areas;
wherein a cavity is arranged between the inner side of the aluminum plate and the clay model;
arranging a plurality of first acceleration sensors on the inner side of the aluminum plate, and arranging a first sound transmitter on the clay model on the opposite side of the aluminum plate;
the first acceleration sensors are arranged in one-to-one correspondence with the test areas, and the first microphone is arranged at a position corresponding to the right ear of a driver in the real vehicle;
arranging a plurality of second acceleration sensors on the inner side of the window glass of the driver side of the competitive products vehicle, and arranging a second microphone in the competitive products vehicle; sealing the door and the window of the competitive products vehicle;
the positions of the second acceleration sensors correspond to the positions of the first acceleration sensors one by one, and the positions of the second microphones correspond to the positions of the first microphones;
secondly, under the same test working condition, respectively carrying out wind noise test on the oil sludge model and the racing car in a wind tunnel; acquiring acceleration signals in the oil sludge model through the plurality of first acceleration sensors, and acquiring wind noise A calculation value in the oil sludge model through the first microphone; acquiring acceleration signals in the competitive products vehicle through the plurality of second acceleration sensors, and acquiring wind noise A calculation value in the competitive products vehicle through the second microphone;
thirdly, obtaining a calculation weight of the wind noise A in the actual vehicle of the predicted vehicle type;
SPL(A)(wind noise in real vehicle)＝SVL(oil sludge model)-Lcorr(Competition product)-LAFilter；
In the formula, SPL (A)(wind noise in real vehicle)Representing the wind noise A calculation value, SVL, of the actual vehicle of the predicted vehicle type(oil sludge model)Represents the Lcor (lc-weighted vibration value) of the oil sludge model window area(Competition product)The correlation coefficient from the noise in the competitive car to the window glass on the side of the driver is represented, and LAFilter represents the value of the weighting parameter A;
the oil sludge model window area weighted vibration value is as follows:
Figure FDA0003613171180000011
wherein n represents the number of test areas, AiRepresenting the weighted area of the ith test zone, viRepresenting a velocity value, v, calculated from the integral of the first acceleration sensor test signal of the i test areas0Representing a reference speed value;
the correlation coefficient from the noise in the competitive car to the window glass on the side of the driver is as follows:
Lcorr(Competition product)＝SPLlin(Competition product)-SVL(Competition product)；
Wherein, SPLlin(Competition product)＝SPL(A)(Competition product)-LAFilter；
In the formula, SPLlin(Competition product)Representing non-A weighting value, SVL, of in-car noise of a racing car(Competition product)And the vibration value after the area of the vehicle window of the competitive product is weighted is represented, and the LAFilter represents the value of the A weighting parameter.
2. The method for predicting the wind noise in the vehicle based on the clay model wind tunnel test according to claim 1, wherein in the first step, the aluminum plate is divided into a plurality of test areas according to the pressure of a vehicle window; wherein each of the test zones corresponds to a different pressure fluctuation range of the vehicle window.
3. The vehicle interior wind noise prediction method based on the oil sludge model wind tunnel test according to claim 2, characterized in that a sound absorption layer is arranged on the oil sludge model on the opposite side of the aluminum plate.
4. The vehicle interior wind noise prediction method based on the oil sludge model wind tunnel test according to claim 3, wherein the test working condition is as follows:
the test environment temperature is 25 ℃ and 2 ℃, the relative humidity is 58-63%, the atmospheric pressure is 101.4-101.8 KPa, and the test background noise is less than 61dB (A) at the wind speed of 160 km/h; the value range of the test wind speed is 80-120 km/h.
5. The method for predicting wind noise in the vehicle based on the clay model wind tunnel test according to claim 4, wherein the distance between the first acceleration sensor and the edge of the aluminum plate is more than 10 cm.
6. The vehicle wind noise prediction method based on the oil sludge model wind tunnel test according to claim 5, characterized by further comprising, before the wind noise test:
and positioning the oil sludge model and the competition vehicle at the position, close to the front, of the center of the wind tunnel balance turntable, and enabling the included angle between the longitudinal symmetric plane of the vehicle body and the central symmetric plane of the wind tunnel to be within the range of 0 +/-0.1 degree.
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