CN113340614A - Wind noise index determination platform, wind noise simulation target determination method and device - Google Patents
Wind noise index determination platform, wind noise simulation target determination method and device Download PDFInfo
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Abstract
The embodiment of the invention discloses a wind noise index determining platform, a wind noise simulation target determining method and a wind noise simulation target determining device, wherein the wind noise index determining platform comprises the following steps: a data processing module, and at least three microphones; aiming at each microphone, the microphone is installed according to the position of the vehicle to be tested and is used for acquiring the sound pressure value of the corresponding position in the current testing environment; and the data processing module is used for generating sound pressure level curves corresponding to the microphones according to the sound pressure values, and carrying out energy average processing on the sound pressure level curves to obtain wind noise evaluation indexes. The problem that the vehicle modeling wind noise characteristics cannot be accurately evaluated is solved. The method comprises the steps of arranging a microphone outside a vehicle to be tested, collecting sound pressure values of the external environment of the vehicle through the microphone, decoupling the influence of an external field sound source, a transmission path and acoustic response, generating sound pressure level curves according to the sound pressure values, carrying out energy average processing on the sound pressure level curves to obtain wind noise evaluation indexes, and evaluating the wind noise characteristics of the vehicle model more objectively and accurately.
Description
Technical Field
The embodiment of the invention relates to the technical field of vehicle testing, in particular to a wind noise index determining platform, a wind noise simulation target determining method and a wind noise simulation target determining device.
Background
Wind noise is noise generated by interaction of air with a vehicle body while the vehicle is running. The level of wind noise greatly affects the comfort of the vehicle. As the vehicle speed increases and the noise level in the vehicle decreases, the wind noise generated by the interaction of air and the vehicle is not small. Wind tunnel tests are an important means for studying wind noise mechanisms and noise control. With the development of computers and numerical methods, numerical simulation is also becoming the main means for predicting the wind noise of automobiles.
In the existing wind tunnel test, a test point is arranged in a cab, the acoustic characteristic of the human ear is measured, the influence of an external field sound source, a transmission path and acoustic response is not decoupled in the process, and the result cannot be used for evaluating the modeling wind noise characteristic of an automobile.
Disclosure of Invention
The invention provides a wind noise index determination platform, a wind noise simulation target determination method and a wind noise simulation target determination device, which are used for accurately selecting a vehicle modeling wind noise performance development target.
In a first aspect, an embodiment of the present invention provides a wind noise indicator determining platform, where the wind noise indicator determining platform includes: a data processing module, and at least three microphones;
aiming at each microphone, the microphone is installed according to the position of the vehicle to be tested and is used for acquiring the sound pressure value of the corresponding position in the current testing environment;
and the data processing module is used for generating sound pressure level curves corresponding to the microphones according to the sound pressure values, and performing energy average processing on the sound pressure level curves to obtain a wind noise evaluation index.
In a second aspect, an embodiment of the present invention further provides a method for determining a wind noise simulation target, where the method for determining a wind noise simulation target includes:
obtaining a finished automobile modeling model;
carrying out wind noise test on the whole vehicle modeling model according to preset simulation conditions, and determining simulation wind noise indexes corresponding to the preset simulation conditions;
determining a target wind noise index according to each simulated wind noise index and the corresponding wind noise evaluation index;
wherein each of said wind noise evaluation indicators is determined by a wind noise indicator determination platform according to any of the embodiments of the present invention.
In a third aspect, an embodiment of the present invention further provides a wind noise simulation target determining device, where the wind noise simulation target determining device includes:
the acquisition module is used for acquiring a finished automobile modeling model;
the test module is used for carrying out wind noise test on the whole vehicle model according to preset simulation conditions and determining simulation wind noise indexes corresponding to the preset simulation conditions;
the target index determining module is used for determining a target wind noise index according to each simulated wind noise index and the corresponding wind noise evaluation index;
wherein each of said wind noise evaluation indicators is determined by a wind noise indicator determination platform according to any of the embodiments of the present invention.
The embodiment of the invention provides a wind noise index determining platform, a wind noise simulation target determining method and a wind noise simulation target determining device, wherein the wind noise index determining platform comprises the following steps: a data processing module, and at least three microphones; aiming at each microphone, the microphone is installed according to the position of the vehicle to be tested and is used for acquiring the sound pressure value of the corresponding position in the current testing environment; and the data processing module is used for generating sound pressure level curves corresponding to the microphones according to the sound pressure values, and performing energy average processing on the sound pressure level curves to obtain a wind noise evaluation index. The problem that the vehicle modeling wind noise characteristics cannot be accurately evaluated is solved. The method comprises the steps of deploying a microphone according to the position of a vehicle to be tested, arranging the microphone outside the vehicle to be tested, collecting sound pressure values of the external environment of the vehicle through the microphone, decoupling the influence of an external field sound source, a transmission path and acoustic response, generating sound pressure level curves according to the sound pressure values, carrying out energy average processing on the sound pressure level curves to obtain a wind noise evaluation index, and evaluating the wind noise characteristics of the vehicle model more objectively and accurately.
Drawings
Fig. 1 is a schematic structural diagram of a wind noise indicator determining platform according to a first embodiment of the present invention;
fig. 2 is a schematic diagram of a microphone deployment according to a first embodiment of the present invention;
fig. 3 is a schematic structural diagram of a wind noise indicator determination platform according to a second embodiment of the present invention;
FIG. 4a is a schematic illustration of a first seal plate according to a second embodiment of the present invention;
FIG. 4b is a schematic illustration of a second seal plate according to a second embodiment of the present invention;
FIG. 5 is a flow chart of a wind noise simulation target determination method in a third embodiment of the present invention;
FIG. 6 is a flow chart of a wind noise simulation target determination method according to a fourth embodiment of the present invention;
fig. 7 is a schematic structural diagram of a wind noise simulation target determination device in the fifth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings. It should be understood that the embodiments described are only a few embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the application, as detailed in the appended claims.
In the description of the present application, it is to be understood that the terms "first," "second," "third," and the like are used solely to distinguish one from another and are not necessarily used to describe a particular order or sequence, nor are they to be construed as indicating or implying relative importance. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate. Further, in the description of the present application, "a plurality" means two or more unless otherwise specified. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
Example one
Fig. 1 is a schematic structural diagram of a wind noise indicator determining platform according to a first embodiment of the present application, where the platform includes: a data processing module 11, and at least three microphones 12;
aiming at each microphone 12, the microphone is installed according to the position of the vehicle 13 to be tested and is used for acquiring the sound pressure value of the corresponding position in the current testing environment;
the data processing module 11 is configured to generate a sound pressure level curve corresponding to each microphone according to each sound pressure value, and perform energy average processing on each sound pressure level curve to obtain a wind noise evaluation index.
In this embodiment, the data processing module 11 may be specifically understood as a virtual module for performing data processing on the sound pressure value; the vehicle to be tested 13 can be specifically understood as a vehicle with a test requirement, and because the vehicle to be tested is tested to obtain a wind noise evaluation index for evaluating the wind noise of the vehicle as a standard, the vehicle to be tested in the embodiment of the present application adopts a vehicle with better wind noise performance as the vehicle to be tested.
In the present embodiment, the current test environment may be specifically understood as an environmental parameter at the current collection time, such as wind speed, vehicle yaw angle, and the like.
Each microphone 12 is installed at a position near the vehicle to be measured, and collects sound pressure values at different positions. In consideration of the influence of the shape of the vehicle to be tested on wind noise, the microphones 12 are respectively installed corresponding to the vehicle head, the parking space and the vehicle center, and sound pressure values of different positions are collected.
Fig. 2 is a schematic view of a microphone deployment according to an embodiment of the present invention, which is a preferred installation manner provided by the embodiment of the present invention, as shown in fig. 2, fig. 2 is a top view, taking a yaw angle of the vehicle 13 to be tested as an example of 0 °. At this time, the direction of the incoming flow (wind) is directly in front of the vehicle 13 to be tested, and since the microphone 12 cannot be arranged in the direction of the incoming flow, that is, the microphone cannot be arranged directly in front of the vehicle 13 to be tested, 3 microphones are arranged on the side portion of the vehicle body. In order to avoid the external field noise deviation caused by modeling difference, the measuring points are respectively arranged at the head, the B column and the tail of the vehicle. The three microphones 12 are 1.2m high from the ground. The distance from the center point of the vehicle is 6m, one microphone 12 is arranged in the incoming flow direction by taking the B column as the center, and the distance between the front part and the rear part of the vehicle is 1.8m and corresponds to the positions of the head and the tail of the vehicle.
In the present embodiment, the sound pressure level curve may be understood as a curve formed according to sound pressure values of different frequencies. The wind noise evaluation index can be specifically understood as a parameter for evaluating the wind noise characteristics of the vehicle to be tested.
When the microphone collects the sound pressure value, the sound pressure values of different frequencies can be collected at the same collection moment; and the data processing module generates a corresponding sound pressure level curve according to each sound pressure value acquired by each microphone. And then carrying out energy averaging on each sound pressure level curve to obtain an energy average value, and taking the energy average value as a wind noise evaluation index.
It is required to know that the microphone can acquire the sound pressure value of the corresponding position in the current test environment after the microphone is installed and deployed according to the position of the vehicle to be tested. Because the test environment can be adjusted in real time, the sound pressure values under different test environments can be realized, and different wind noise evaluation indexes can be further determined.
The embodiment of the invention provides a wind noise index determining platform, which comprises: a data processing module, and at least three microphones; aiming at each microphone, the microphone is installed according to the position of the vehicle to be tested and is used for acquiring the sound pressure value of the corresponding position in the current testing environment; and the data processing module is used for generating sound pressure level curves corresponding to the microphones according to the sound pressure values, and performing energy average processing on the sound pressure level curves to obtain a wind noise evaluation index. The problem that the vehicle modeling wind noise characteristics cannot be accurately evaluated is solved. The method comprises the steps of deploying a microphone according to the position of a vehicle to be tested, arranging the microphone outside the vehicle to be tested, collecting sound pressure values of the external environment of the vehicle through the microphone, decoupling the influence of an external field sound source, a transmission path and acoustic response, generating sound pressure level curves according to the sound pressure values, carrying out energy average processing on the sound pressure level curves to obtain a wind noise evaluation index, and evaluating the wind noise characteristics of the vehicle model more objectively and accurately.
Example two
Fig. 3 is a schematic structural diagram of a wind noise indicator determining platform according to a second embodiment of the present invention. The technical scheme of the embodiment is further refined on the basis of the technical scheme, and specifically mainly comprises the following steps: a data processing module 21, at least three microphones 22, a sealing strip 23, a first sealing plate 24, and at least four second sealing plates 25.
The sealing strip 23 is used for sealing the whole vehicle gap of the vehicle 31 to be tested;
the first sealing plate 24 is used for covering and sealing the chassis of the vehicle 31 to be tested;
the second seal plates 25 are used to seal the wheel hubs of the vehicle 31 to be tested.
In the present embodiment, the sealing tape 23 may be specifically understood as an article for sealing the gap, for example, an adhesive tape. The first sealing plate and the second sealing plate are both thin plates for sealing, and the material of the first sealing plate and the material of the second sealing plate may be the same, for example, Acrylonitrile Butadiene Styrene (ABS) thin plates are used.
The whole vehicle gaps of the vehicle 31 to be tested, such as vehicle doors, a skylight, front and rear covers, a front grille and the like, are sealed through a sealing strip 23, and the gaps on the vehicle are completely sealed through the sealing strip. Seal up vehicle body chassis through first closing plate 24, cover vehicle body chassis through first closing plate, make first closing plate into approximate pan-flat state through cutting the concatenation to firmly fixed, in order to prevent to take place to shake in wind-tunnel test process. The second sealing plate can be similarly shaped to approximate the shape of a wheel and fixed to the wheel hub. The vehicle to be tested, which is to be subjected to the wind tunnel test, is prepared to be in a state similar to a modeling early-stage outer Surface digital analogy (CAS) state by sealing a whole vehicle gap, a vehicle body chassis and a wheel hub. The CAS model refers to a three-dimensional digital model used for expressing modeling intentions and embodying certain engineering information in automobile design.
The vehicle of the structural schematic diagram of the wind noise index determination platform provided in fig. 3 is in a top view, and therefore the sealing strip 23, the first sealing plate 24, and the second sealing plate 25 cannot be shown. Therefore, the embodiment of the present invention provides other display views to show the sealing strip 23, the first sealing plate 24, and the second sealing plate 25. Since the vehicle 31 to be tested can only be displayed from one viewing angle, the first sealing plate and the second sealing plate cannot be displayed simultaneously, and therefore the example diagrams provided by the embodiment of the invention respectively display the first sealing plate and the second sealing plate. Fig. 4a is an illustration showing a first sealing plate according to an embodiment of the present invention, where the first sealing plate 24 seals a chassis of a vehicle 31 to be tested. Fig. 4b is a schematic illustration showing a second sealing plate according to an embodiment of the present invention, and as shown in the figure, fig. 4b only shows two wheels on one side of the vehicle 31 to be tested, and accordingly, only two second sealing plates 25 can be seen to seal the wheel hub. The other side of the vehicle 31 to be tested is also provided with two second sealing plates 25 which respectively seal the wheel hubs. Vehicle gaps such as a sunroof, a door, front and rear covers, a front grille and the like of a vehicle are sealed by sealing strips 23, the sealing strips 23 are exemplarily shown in fig. 4b to seal the door, other gaps are also sealed by the sealing strips 23, and fig. 4b is not illustrated one by one, and a person skilled in the art can know.
Further, the platform further comprises: a wind tunnel test chamber 26;
and the wind tunnel test box 26 is used for providing a test environment for the vehicle 31 to be tested.
In the present embodiment, the wind tunnel test chamber 26 may be specifically understood as a laboratory for providing a closed test space and environment for the vehicle 31 to be tested when performing a wind tunnel test.
The vehicle to be tested is placed in the wind tunnel test box 26, and the wind tunnel test box provides a test environment, so that the test result is prevented from being influenced by other factors.
Further, wind tunnel test box 26 includes: a wind tunnel spout 261, a wind tunnel collection port 262 and a wind tunnel balance 263;
the wind tunnel nozzle 261 is used for wind tunnel test box 26 to intake air;
the wind tunnel collection port 262 is used for discharging wind from the wind tunnel test box 26;
and the wind tunnel balance 263 is used for placing the vehicle 31 to be measured so as to realize the angle adjustment of the vehicle 31 to be measured.
In the test, the vehicle 31 to be tested is placed on a wind tunnel balance 263 of the wind tunnel experiment box 26, air is supplied through a wind tunnel nozzle 261, incoming air during vehicle driving is simulated, the air is collected through a wind tunnel collecting port 262, the collected air enters through the wind tunnel nozzle again, and recycling is achieved. The wind tunnel balance 263 can rotate, and the rotation of the wind tunnel balance 263 drives the vehicle 31 to be measured to rotate, so that the angle adjustment of the vehicle 31 to be measured is realized.
Further, the platform further comprises: a test environment control module 27;
and the test environment control module 27 is used for controlling the air inlet speed of the wind tunnel test box 26 and adjusting the angle of the wind tunnel balance 263 to form the current test environment.
In the present embodiment, the test environment control module 27 may be specifically understood as a computer virtual module for controlling the test environment through parameters.
The mode of controlling the air intake speed and the angle of the wind tunnel balance 263 by the test environment control module 27 may be receiving an instruction input by a user, that is, a worker, and generating a corresponding control instruction according to the air intake speed and the angle of the wind tunnel balance 263 indicated by the instruction; or, a parameter table is preset, the table comprises the air inlet speed and/or the angle, and the test environment control module 27 automatically forms a corresponding control instruction according to the parameters in the parameter table. And further controlling the air inlet speed of the wind tunnel test box 26 and the angle of the wind tunnel balance 263 according to the control instruction, wherein the current wind speed and the angle of the wind tunnel balance 263 form a current test environment.
It can be known that, for the same vehicle to be tested, each different current test environment can be measured to obtain a wind noise evaluation index, so that the wind noise evaluation indexes under different environments can be obtained by changing the test environment, the wind speed is equivalent to the vehicle speed of the vehicle to be tested, and then the driving of the vehicle under different working conditions is simulated to obtain the corresponding wind noise evaluation indexes. If a plurality of vehicles are measured, the vehicles can be used as the vehicles to be measured at one time for testing, and the wind noise evaluation indexes of the vehicles can be respectively determined.
The embodiment of the invention provides a wind noise index determination platform, which solves the problem that the wind noise characteristics of a vehicle model cannot be accurately evaluated. The method comprises the steps of deploying a microphone according to the position of a vehicle to be tested, arranging the microphone outside the vehicle to be tested, collecting sound pressure values of the external environment of the vehicle through the microphone, decoupling the influence of an external field sound source, a transmission path and acoustic response, generating sound pressure level curves according to the sound pressure values, carrying out energy average processing on the sound pressure level curves to obtain a wind noise evaluation index, and evaluating the wind noise characteristics of the vehicle model more objectively and accurately. The vehicle to be tested is sealed by the sealing strip, the first sealing plate and the second sealing plate, the vehicle to be tested, which is to be subjected to the wind tunnel test, is prepared to be in a state similar to the CAS model, and the test accuracy is improved. The wind speed of the wind inlet of the wind tunnel test box is controlled through the test environment control module, the angle of the wind tunnel balance is adjusted, the current test environment is formed, the test environment can be set randomly, and the wind tunnel balance test device is flexible, changeable, simple and easy to operate.
EXAMPLE III
Fig. 5 is a flowchart of a method for determining a wind noise simulation target according to a third embodiment of the present invention, including the following steps:
and S410, obtaining a finished automobile model.
In this embodiment, the entire vehicle model may be specifically understood as a simplified model that is constructed by modeling and simulates a vehicle shape, where the entire vehicle model in this embodiment is constructed by taking a Computational Fluid Dynamics (CFD) model as an example, and the CFD is an analysis performed on a system including related physical phenomena such as Fluid flow and heat conduction through computer numerical simulation calculation and image display. The whole vehicle model is a model of the vehicle to be tested and simulates the simulation test of the vehicle to be tested. The whole vehicle model can be predetermined and stored, and can also be established during simulation test.
And S420, carrying out wind noise test on the whole vehicle modeling model according to preset simulation conditions, and determining simulation wind noise indexes corresponding to the preset simulation conditions.
In this embodiment, the preset simulation condition may be specifically understood as a preset simulation condition, and the simulation condition may be a wind speed, a yaw angle, and the like. The simulation wind noise index can be specifically understood as the wind noise index of the vehicle corresponding to the whole vehicle model measured in the simulation process.
Specifically, a fluid and acoustic simulation analysis tool is utilized to simulate a flow field near the whole vehicle modeling model according to preset simulation conditions, wind noise test is carried out, a simulated microphone collects sound pressure values, and simulated wind noise indexes under different preset simulation conditions are determined according to the sound pressure values.
It should be noted that the wind noise performance engineer mainly optimizes the local shape of the car body by means of Computer Aided Engineering (CAE) in the development and shaping stage of the car product, such as the a-pillar and the rearview mirror. Typically, the entire optimization analysis work will be performed continuously along with the entire development phase of the modeling design. And therefore it becomes important to design a reasonable optimization goal. However, in the prior art, no optimization target can be referred to in the process of analyzing the vehicle body modeling. The skilled person is therefore not aware of the extent to which the optimization is performed. The embodiment of the application determines the target wind noise index through S430, and provides a target basis for optimization.
S430, determining a target wind noise index according to each simulated wind noise index and a corresponding wind noise evaluation index, wherein each wind noise evaluation index is determined by a wind noise index determination platform according to any one of the embodiments of the invention.
In this embodiment, the target wind noise index may be specifically understood as a final optimization target in the vehicle model development, that is, after the final development model of the vehicle is determined, the wind noise index of the final development model needs to reach the target wind noise index.
Specifically, the error of each simulated wind noise index is calculated according to each simulated wind noise index and the corresponding wind noise evaluation index, the wind noise of the reference is selected from the wind noise evaluation indexes, and then the target wind noise index is determined according to the error and the selected wind noise.
The embodiment of the application provides a method for determining a wind noise simulation target, which comprises the steps of obtaining a whole vehicle model; carrying out wind noise test on the whole vehicle modeling model according to preset simulation conditions, and determining simulation wind noise indexes corresponding to the preset simulation conditions; determining a target wind noise index according to each simulated wind noise index and the corresponding wind noise evaluation index; wherein each of said wind noise evaluation indices is determined by a wind noise index determination platform according to any of the embodiments. And determining each simulated wind noise index by performing a wind noise test on the whole vehicle modeling model, and further determining a target wind noise index according to each simulated wind noise index and the corresponding wind noise evaluation index, thereby providing an optimization target for the simulation process. Through simulating wind noise tests of the whole vehicle model under different conditions, the target wind noise index is comprehensively determined according to the obtained simulated wind noise indexes, the accuracy of the target wind noise index is improved, and the result is more objective and real.
Example four
Fig. 6 is a flowchart of a method for determining a wind noise simulation target according to a fourth embodiment of the present invention, which is refined based on the previous embodiment and includes the following steps:
and S510, obtaining a finished automobile model.
S520, acquiring a preset simulation condition table, and determining a test point.
In this embodiment, the preset simulation condition table may be specifically understood as a data table storing one or more preset simulation conditions. The test point can be specifically understood as a position point for collecting a sound pressure value, and the selection of the test point needs to be consistent with the position of the microphone during the corresponding vehicle test to be tested. And the number of the test points is consistent with that of the microphones, so that the actual experiment environment is the same as the simulation experiment environment.
Specifically, the preset simulation condition table may be pre-stored in a local area or a database, and is obtained from a storage space when performing the simulation test. The position of the test point also needs to be determined in advance, and the test point can be stored in advance, or can be input by a worker during simulation every time, so that the position coordinate input by the worker is obtained, and the test point is determined.
S530, selecting a preset simulation condition from the preset condition table as a current simulation condition.
In this embodiment, the current simulation condition may be specifically understood as a simulation condition set during the current simulation test. The preset simulation conditions in the preset condition table may be arranged in order, and one of the preset simulation conditions may be sequentially selected as the current simulation condition in order from front to back (or from back to front).
And S540, performing transient flow field simulation on the whole vehicle model according to the current simulation condition, and determining a simulation sound pressure level curve of each test point.
In this embodiment, the simulated sound pressure level curve can be specifically understood as a sound pressure level curve measured in a simulation experiment.
Specifically, a transient flow field near a sound source is simulated through a fluid and acoustic simulation analysis tool, sound propagation from the sound source to a test point is calculated by adopting a sound class ratio method, each sound pressure value from the sound source point to the test point is determined, and a simulation sound pressure level curve is determined according to each sound pressure value. The determination method of the simulated sound pressure level curve is consistent with the method of determining the sound pressure level curve by the wind noise index determination platform.
And S550, performing energy average processing on each simulated sound pressure level curve to determine a simulated wind noise index.
In this embodiment, the simulation wind noise index may be specifically understood as a wind noise evaluation index corresponding to a complete vehicle model determined in a simulation experiment under a certain simulation condition. And carrying out energy averaging on each sound pressure level curve to obtain an energy average value, and taking the energy average value as a simulation wind noise index under the current simulation condition.
S560, judging whether all the preset simulation conditions are selected, if so, executing S570; otherwise, return to execute S540.
And measuring the simulation wind noise indexes under different preset simulation conditions by changing the simulation conditions. It should be noted that, since the simulation experiment needs to be compared with the test data of the actual measurement experiment of the vehicle to be tested, the preset simulation condition needs to correspond to the current test environment. In order to reduce unnecessary tests and ensure the utilization rate of data, the preset simulation conditions can be set to be in one-to-one correspondence with the current test environment.
And S570, determining errors according to the simulated wind noise indexes and the corresponding wind noise evaluation indexes.
Each simulation wind noise index can determine a corresponding wind noise evaluation index through a corresponding preset simulation condition. And respectively calculating the difference between each simulation wind noise index and the corresponding wind noise evaluation index, and determining the error between the two indexes according to each difference.
As an optional embodiment of this embodiment, this optional embodiment optimizes the determination error according to each of the simulated wind noise indicators and the corresponding wind noise evaluation indicator as follows: calculating the difference value of each simulated wind noise index and the corresponding wind noise evaluation index; the average of each of the differences is determined as an error.
And calculating the difference value between each simulation wind noise index and the corresponding wind noise evaluation index, and determining the average value of each difference value as an error. The maximum, minimum, median, weighted average, etc. of the differences may also be determined as errors. The data accuracy is ensured by carrying out statistical calculation on a large amount of data.
And S580, screening a standard wind noise index from the wind noise evaluation indexes.
In the present embodiment, the standard wind noise indicator may specifically be understood as standard data for determining the target wind noise indicator. And screening each wind noise evaluation index by setting screening conditions, for example, taking a maximum value, a minimum value and the like, or comprehensively setting the screening conditions by considering other influence factors. In the embodiment of the application, the minimum value is selected as the standard wind noise index as an example, the target wind noise index is determined, and the selection of the minimum wind noise is realized.
And S590, determining the sum of the standard wind noise index and the error as a target wind noise index.
And adding the standard wind noise index and the error to obtain a target wind noise index which can be used as a development target in a vehicle model development stage. Provides a clear research and development target for the modeling development stage, and is beneficial to the research and development work of workers.
The embodiment of the application provides a method for determining a wind noise simulation target, which comprises the steps of obtaining a whole vehicle model; carrying out wind noise test on the whole vehicle modeling model according to preset simulation conditions, and determining simulation wind noise indexes corresponding to the preset simulation conditions; determining a target wind noise index according to each simulated wind noise index and the corresponding wind noise evaluation index; wherein each of said wind noise evaluation indices is determined by a wind noise index determination platform according to any of the embodiments. And determining each simulated wind noise index by performing a wind noise test on the whole vehicle modeling model, and further determining a target wind noise index according to each simulated wind noise index and the corresponding wind noise evaluation index, thereby providing an optimization target for the simulation process. Through simulating wind noise tests of the whole vehicle model under different conditions, the target wind noise index is comprehensively determined according to the obtained simulated wind noise indexes, the accuracy of the target wind noise index is improved, and the result is more objective and real. And the determined target wind noise index may be used for development targets in the vehicle styling development phase.
EXAMPLE III
Fig. 7 is a schematic structural diagram of a wind noise simulation target determining apparatus according to a third embodiment of the present invention, where the apparatus includes: an acquisition module 61, a test module 62 and a target indicator determination module 63.
The obtaining module 61 is used for obtaining a finished automobile model;
the test module 62 is configured to perform a wind noise test on the entire vehicle model according to preset simulation conditions, and determine a simulation wind noise index corresponding to each preset simulation condition;
a target index determining module 63, configured to determine a target wind noise index according to each of the simulated wind noise indexes and the corresponding wind noise evaluation index;
wherein each of said wind noise evaluation indices is determined by a wind noise index determination platform according to any of the embodiments of the present invention.
The embodiment of the application provides a wind noise simulation target determining device, which is used for determining a whole vehicle model by obtaining the whole vehicle model; carrying out wind noise test on the whole vehicle modeling model according to preset simulation conditions, and determining simulation wind noise indexes corresponding to the preset simulation conditions; determining a target wind noise index according to each simulated wind noise index and the corresponding wind noise evaluation index; wherein each of said wind noise evaluation indices is determined by a wind noise index determination platform according to any of the embodiments. And determining each simulated wind noise index by performing a wind noise test on the whole vehicle modeling model, and further determining a target wind noise index according to each simulated wind noise index and the corresponding wind noise evaluation index, thereby providing an optimization target for the simulation process. Through simulating wind noise tests of the whole vehicle model under different conditions, the target wind noise index is comprehensively determined according to the obtained simulated wind noise indexes, the accuracy of the target wind noise index is improved, and the result is more objective and real.
Further, the test module 62 includes:
the acquisition unit is used for acquiring a preset simulation condition table and determining a test point;
the selection unit is used for selecting one preset simulation condition from the preset condition table as a current simulation condition;
the simulation unit is used for performing transient flow field simulation on the whole vehicle model according to the current simulation condition and determining a simulation sound pressure level curve of each test point;
the index determining unit is used for determining a simulation wind noise index by carrying out energy average processing on each simulation sound pressure level curve;
and the return unit is used for returning and executing the selection operation of the current simulation condition until all the preset simulation conditions are selected.
Further, the target index determination module 63 includes:
an error determination unit for determining an error according to each of the simulated wind noise indicators and the corresponding wind noise evaluation indicator;
the screening unit is used for screening a standard wind noise index from each wind noise evaluation index;
and the target index determining unit is used for determining the sum of the standard wind noise index and the error as a target wind noise index.
Further, the error determination unit is specifically configured to: calculating the difference value of each simulated wind noise index and the corresponding wind noise evaluation index; the average of each of the differences is determined as an error.
The wind noise simulation target determination device provided by the embodiment of the invention can execute the wind noise simulation target determination method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A wind noise indicator determination platform, comprising: a data processing module, and at least three microphones;
aiming at each microphone, the microphone is installed according to the position of the vehicle to be tested and is used for acquiring the sound pressure value of the corresponding position in the current testing environment;
and the data processing module is used for generating sound pressure level curves corresponding to the microphones according to the sound pressure values, and performing energy average processing on the sound pressure level curves to obtain a wind noise evaluation index.
2. The platform of claim 1, further comprising: a sealing strip, a first sealing plate, and at least four second sealing plates;
the sealing strip is used for sealing the whole vehicle gap of the vehicle to be tested;
the first sealing plate is used for covering and sealing a vehicle body chassis of a vehicle to be tested;
and each second sealing plate is used for sealing the wheel hub of the vehicle to be tested.
3. The platform of claim 1 or 2, further comprising: a wind tunnel test chamber;
the wind tunnel test box is used for providing a test environment for the vehicle to be tested.
4. The platform of claim 3, wherein the wind tunnel test cell comprises: the wind tunnel balance comprises a wind tunnel nozzle, a wind tunnel collecting port and a wind tunnel balance;
the wind tunnel nozzle is used for wind inlet of the wind tunnel test box;
the wind tunnel collecting port is used for discharging wind from the wind tunnel test box;
and the wind tunnel balance is used for placing the vehicle to be measured so as to realize the angle adjustment of the vehicle to be measured.
5. The platform of claim 4, further comprising: a test environment control module;
and the test environment control module is used for controlling the air inlet speed of the wind tunnel test box and adjusting the angle of the wind tunnel balance to form the current test environment.
6. A wind noise simulation target determination method is characterized by comprising the following steps:
obtaining a finished automobile modeling model;
carrying out wind noise test on the whole vehicle modeling model according to preset simulation conditions, and determining simulation wind noise indexes corresponding to the preset simulation conditions;
determining a target wind noise index according to each simulated wind noise index and the corresponding wind noise evaluation index;
wherein each of said wind noise evaluation indices is determined by a wind noise index determination platform according to any of claims 1-5.
7. The method according to claim 6, wherein the wind noise test is performed on the entire vehicle modeling model according to preset simulation conditions, and the determination of the simulation wind noise index corresponding to each preset simulation condition includes:
acquiring a preset simulation condition table, and determining a test point;
selecting a preset simulation condition from the preset condition table as a current simulation condition;
performing transient flow field simulation on the whole vehicle modeling model according to the current simulation condition, and determining a simulation sound pressure level curve of each test point;
performing energy average processing on each simulated sound pressure level curve to determine a simulated wind noise index;
and returning to execute the selection operation of the current simulation condition until all the preset simulation conditions are selected.
8. The method of claim 6, determining a target wind noise indicator from each of the simulated wind noise indicators and a corresponding wind noise evaluation indicator, comprising:
determining an error according to each simulated wind noise index and the corresponding wind noise evaluation index;
screening out standard wind noise indexes from the wind noise evaluation indexes;
and determining the sum of the standard wind noise index and the error as a target wind noise index.
9. The method of claim 8, said determining an error from each of said simulated wind noise indicators and corresponding wind noise evaluation indicators, comprising:
calculating the difference value of each simulated wind noise index and the corresponding wind noise evaluation index;
the average of each of the differences is determined as an error.
10. A wind noise simulation targeting apparatus, comprising:
the acquisition module is used for acquiring a finished automobile modeling model;
the test module is used for carrying out wind noise test on the whole vehicle model according to preset simulation conditions and determining simulation wind noise indexes corresponding to the preset simulation conditions;
the target index determining module is used for determining a target wind noise index according to each simulated wind noise index and the corresponding wind noise evaluation index;
wherein each of said wind noise evaluation indices is determined by a wind noise index determination platform according to any of claims 1-5.
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