Method for predicting road noise of whole vehicle, and method and device for optimizing road noise based on predicted noise

Abstract

The invention discloses a whole vehicle road noise prediction method and a road noise optimization method and device based on prediction noise, and the method comprises the steps: obtaining a simulation transfer function of a new iteration vehicle model, and the simulation transfer function is a recognizable transfer function obtained through the NTF simulation analysis of a whole vehicle simulation model of the new iteration vehicle model; the simulation transfer function and a preset chassis attachment point force are adopted for fitting calculation, predicted noise of a new iteration vehicle model is obtained, and the preset chassis attachment point force is a chassis attachment point force of a previous generation of basic vehicle model. According to the method, the noise of a new iteration vehicle model can be predicted by directly adopting a chassis structure of a previous generation vehicle model or a basic vehicle model, so that the processing period of prediction analysis can be greatly shortened, the flow of prediction processing is simplified, and the prediction efficiency is improved; and fitting calculation is carried out by combining the simulation transfer function and the chassis attachment point force, so that the actual structure of the vehicle can be better fitted, and the calculation precision can be improved.

Description

Background Art

[0002] Competition in the automotive industry is intensifying. In addition to factors such as brand, price, and appearance, the NVH level of the vehicle (especially the road noise level) is also one of the main factors that affect customers' willingness to buy a car. Therefore, determining the road noise of the vehicle for noise reduction is an important step in the vehicle development process.

[0003] In order to accurately determine the road noise of the whole vehicle, the commonly used method in the study of the road noise performance of the whole vehicle is: in the vehicle development stage, first build a whole vehicle model of the R&D vehicle, and then use the axle head force loading method to perform whole vehicle road noise simulation analysis based on the whole vehicle model of the R&D vehicle to predict the road noise of the R&D vehicle; and then adjust and optimize according to the predicted road noise so that the R&D vehicle can meet the road noise requirements.

[0004] However, the commonly used methods currently have the following technical problems: Each prediction process requires that the chassis bushing stiffness parameters, shock absorber damping parameters and other parameters of the R&D vehicle model be determined and the physical prototype vehicle be manufactured before the whole vehicle module is built based on the physical prototype vehicle to perform prediction analysis based on the whole vehicle model. Moreover, once optimization and adjustment are required, it is necessary to wait for the adjusted physical prototype vehicle before subsequent prediction analysis can be performed, resulting in a long prediction process, low processing efficiency, and a prolonged R&D cycle, which increases R&D costs. Summary of the invention

[0005] The present invention provides a method for predicting the road noise of a whole vehicle, and a method and device for optimizing the road noise based on the predicted noise. The method can solve the technical problems of the prior art that the prediction processing time is long and the efficiency is low.

[0006] A first aspect of an embodiment of the present invention provides a method for predicting vehicle road noise, the method comprising:

[0007] Acquire a simulation transfer function of a new iteration vehicle model, where the simulation transfer function is an identifiable transfer function obtained by performing NTF simulation analysis on a whole vehicle simulation model of the new iteration vehicle model;

[0008] The simulation transfer function is fitted with a preset chassis attachment point force to obtain the predicted noise of the new iteration vehicle model, wherein the preset chassis attachment point force is the chassis attachment point force of the previous generation basic vehicle model.

[0009] The present invention can perform NTF simulation analysis on the whole vehicle simulation model of the new iteration vehicle model to obtain an identifiable simulation transfer function; the simulation transfer function and the chassis attachment point force of the previous generation basic vehicle model are used to perform fitting calculations to obtain the predicted noise of the new iteration vehicle model. Since the chassis structure of the new iteration vehicle model is not much different from that of the previous generation vehicle model or the basic vehicle model, the chassis structure of the previous generation vehicle model or the basic vehicle model can be directly used to predict the noise of the new iteration vehicle model, without determining the various parameters of the new iteration vehicle model and manufacturing the physical prototype vehicle before performing the prediction analysis process, which can greatly shorten the processing cycle of the prediction analysis, simplify the process of prediction processing, and improve the efficiency of the prediction; and the combination of the simulation transfer function and the chassis attachment point force for fitting calculation can be more in line with the actual structure of the vehicle, thereby improving the accuracy of the calculation.

[0010] In combination with the first aspect, in one implementation, the fitting calculation of the simulation transfer function and the preset chassis attachment point force to obtain the predicted noise of the new iteration vehicle model includes:

[0011] The predicted noise of the new iteration model is calculated according to the following formula:

[0012]

[0013] In the above formula, NTF is the simulation transfer function, F is the preset chassis attachment point force, P is the predicted noise, and n is the number of transmission paths of road noise.

[0014] In combination with the first aspect, in one implementation, obtaining a simulation transfer function of a new iteration vehicle model includes:

[0015] Establish a whole vehicle simulation model for new iteration models through simulation analysis technology;

[0016] Performing NTF simulation analysis and calculation on the whole vehicle simulation model to obtain the initial transfer function of all paths from the chassis attachment point to the in-vehicle response point of the new iteration model;

[0017] The initial transfer function is converted into a transfer function in a recognizable format to obtain a simulated transfer function.

[0018] In combination with the first aspect, in one implementation, the whole vehicle simulation model includes a target point model and a path model, and the whole vehicle simulation model of the new iterative vehicle model is established by using simulation analysis technology, including:

[0019] Determine the structure-borne sound transmission path required for road noise prediction based on the structure of the new iteration vehicle model;

[0020] After determining the target response point and the chassis attachment point in the vehicle, target point modeling is performed according to the position of the target response point to obtain a target point model, and structural path modeling is performed according to the position of the chassis attachment point to obtain a path model;

[0021] The target response point is a location point in the vehicle where the sound collection device is placed, and the chassis attachment point is an attachment point of the chassis of the previous generation of basic vehicle models.

[0022] In combination with the first aspect, in one implementation, the operation of obtaining the preset chassis attachment point force includes:

[0023] Acquire an excitation force, an indication point response value, and a reference point response value respectively, wherein the excitation force is a hammer force collected after striking in different directions on the side of the attachment point of the previous generation base vehicle model, the indication point response value is a vibration response value of the indication point on the side of the attachment point of the previous generation base vehicle model, and the reference point response value is a vibration response value of the reference point on the side of the indication point of the previous generation base vehicle model;

[0024] Calculating the origin transfer function of the attachment point using the excitation force and the indication point response value;

[0025] The chassis attachment point force of the attachment point is calculated using the origin transfer function and the reference point response value.

[0026] In combination with the first aspect, in one implementation, after the step of obtaining the preset chassis attachment point force, the method further includes:

[0027] The preset chassis attachment point force and the preset test transfer function are used to perform fitting calculation to obtain test noise, wherein the preset test transfer function is a transfer function constructed according to the knocking noise response and the excitation force after the attachment point side of the previous generation basic vehicle model is knocked in different directions to obtain the knocking noise response;

[0028] If the noise curve of the test noise is the same as the noise curve of the preset working condition noise, it is determined that the preset chassis attachment point force meets the simulation condition;

[0029] If the noise curve of the test noise is different from the noise curve of the preset working condition noise, it is determined that the preset chassis attachment point force does not meet the simulation condition;

[0030] Among them, the preset operating condition noise is the in-vehicle noise collected by performing operating condition testing on vehicles of the previous generation of basic models according to road noise test conditions.

[0031] In combination with the first aspect, in one implementation, the operation of obtaining the preset test transfer function includes:

[0032] Calculating a preset test transfer function using the excitation force and a preset in-vehicle sound response value;

[0033] Among them, the preset in-vehicle sound response value is the response value collected by the sound collection device in the vehicle when the side of the attachment point of the previous generation basic vehicle model is knocked in different directions.

[0034] A second aspect of an embodiment of the present invention provides a road noise optimization method based on predicted noise, the method comprising:

[0035] After obtaining predicted noise according to the whole vehicle road noise prediction method, converting the predicted noise into a noise color map;

[0036] Extracting the peak frequency of the in-vehicle road noise response and the path corresponding to the peak frequency from the noise color map to obtain the road noise path;

[0037] Road noise optimization is performed according to the peak frequency point and the road noise path.

[0038] A third aspect of an embodiment of the present invention provides a device for predicting vehicle road noise, the device comprising:

[0039] An acquisition module, used to acquire a simulation transfer function of a new iteration vehicle model, wherein the simulation transfer function is an identifiable transfer function obtained by performing NTF simulation analysis on a whole vehicle simulation model of the new iteration vehicle model;

[0040] The prediction module is used to use the simulation transfer function and the preset chassis attachment point force to perform fitting calculation to obtain the predicted noise of the new iteration vehicle model, wherein the preset chassis attachment point force is the chassis attachment point force of the previous generation basic vehicle model.

[0041] In conjunction with the third aspect, in one implementation, the fitting calculation of the simulation transfer function and the preset chassis attachment point force to obtain the predicted noise of the new iteration vehicle model includes:

[0042] The predicted noise of the new iteration model is calculated according to the following formula:

[0043]

[0044] In the above formula, NTF is the simulation transfer function, F is the preset chassis attachment point force, P is the predicted noise, and n is the number of transmission paths of road noise.

[0045] In conjunction with the third aspect, in one implementation, obtaining a simulation transfer function of a new iteration vehicle model includes:

[0046] Establish a whole vehicle simulation model for new iteration models through simulation analysis technology;

[0047] Performing NTF simulation analysis and calculation on the whole vehicle simulation model to obtain the initial transfer function of all paths from the chassis attachment point to the in-vehicle response point of the new iteration model;

[0048] The initial transfer function is converted into a transfer function in a recognizable format to obtain a simulated transfer function.

[0049] In conjunction with the third aspect, in one implementation, the whole vehicle simulation model includes a target point model and a path model, and the whole vehicle simulation model of the new iterative vehicle model is established by using simulation analysis technology, including:

[0050] Determine the structure-borne sound transmission path required for road noise prediction based on the structure of the new iteration vehicle model;

[0051] After determining the target response point and the chassis attachment point in the vehicle, target point modeling is performed according to the position of the target response point to obtain a target point model, and structural path modeling is performed according to the position of the chassis attachment point to obtain a path model;

[0052] The target response point is a location point in the vehicle where the sound collection device is placed, and the chassis attachment point is an attachment point of the chassis of the previous generation of basic vehicle models.

[0053] In conjunction with the third aspect, in one implementation, the operation of obtaining the preset chassis attachment point force includes:

[0054] Acquire an excitation force, an indication point response value, and a reference point response value respectively, wherein the excitation force is a hammer force collected after striking in different directions on the side of the attachment point of the previous generation base vehicle model, the indication point response value is a vibration response value of the indication point on the side of the attachment point of the previous generation base vehicle model, and the reference point response value is a vibration response value of the reference point on the side of the indication point of the previous generation base vehicle model;

[0055] Calculating the origin transfer function of the attachment point using the excitation force and the indication point response value;

[0056] The chassis attachment point force of the attachment point is calculated using the origin transfer function and the reference point response value.

[0057] In conjunction with the third aspect, in one implementation, the device further includes:

[0058] a test noise module, configured to obtain test noise by fitting the preset chassis attachment point force and a preset test transfer function after obtaining the preset chassis attachment point force, wherein the preset test transfer function is a transfer function constructed according to the knocking noise response and the excitation force after the attachment point side of the previous generation basic vehicle model is knocked in different directions to obtain the knocking noise response;

[0059] A determination satisfying module, configured to determine that a preset chassis attachment point force satisfies a simulation condition if a noise curve of the test noise is the same as a noise curve of a preset working condition noise;

[0060] a determination module for determining that a preset chassis attachment point force does not satisfy a simulation condition if a noise curve of the test noise is different from a noise curve of a preset working condition noise;

[0061] Among them, the preset operating condition noise is the in-vehicle noise collected by performing operating condition testing on vehicles of the previous generation of basic models according to road noise test conditions.

[0062] In conjunction with the third aspect, in one implementation, the operation of obtaining the preset test transfer function includes:

[0063] Calculating a preset test transfer function using the excitation force and a preset in-vehicle sound response value;

[0064] Among them, the preset in-vehicle sound response value is the response value collected by the sound collection device in the vehicle when the side of the attachment point of the previous generation basic vehicle model is knocked in different directions.

[0065] A fourth aspect of an embodiment of the present invention provides a road noise optimization device based on predicted noise, the device comprising:

[0066] A conversion module, configured to convert the predicted noise into a noise color map after obtaining the predicted noise according to the whole vehicle road noise prediction method;

[0067] An extraction module, used to extract the peak frequency of the road noise response in the vehicle and the path corresponding to the peak frequency from the noise color map to obtain the road noise path;

[0068] An optimization module is used to optimize the road noise according to the peak frequency point and the road noise path.

[0069] Compared with the prior art, the embodiment of the present invention provides a method for predicting the road noise of a whole vehicle, a method for optimizing the road noise based on the predicted noise, and a device, and its beneficial effects are: the present invention can perform NTF simulation analysis on the whole vehicle simulation model of the new iteration vehicle model to obtain an identifiable simulation transfer function; the simulation transfer function and the chassis attachment point force of the previous generation basic vehicle model are used to perform fitting calculations to obtain the predicted noise of the new iteration vehicle model. Since the chassis structure of the new iteration vehicle model is not much different from that of the previous generation vehicle model or the basic vehicle model, the chassis structure of the previous generation vehicle model or the basic vehicle model can be directly used to predict the noise of the new iteration vehicle model, and there is no need to determine the various parameters of the new iteration vehicle model and manufacture the physical prototype before performing the prediction analysis process, which can greatly shorten the processing cycle of the prediction analysis, simplify the process of prediction processing, and improve the efficiency of the prediction; and the combination of the simulation transfer function and the chassis attachment point force for fitting calculation can be more in line with the actual structure of the vehicle, thereby improving the accuracy of the calculation. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 It is a flowchart of a method for predicting vehicle road noise provided by one embodiment of the present invention;

[0071] Figure 2 is a schematic diagram of a simulation transfer function provided by an embodiment of the present invention;

[0072] Figure 3 is a schematic diagram of a waveform of a chassis attachment point force of an attachment point provided by an embodiment of the present invention;

[0073] Figure 4 is a schematic diagram of noise curve comparison provided by an embodiment of the present invention;

[0074] Figure 5 is a flowchart of a road noise optimization method based on predicted noise provided by an embodiment of the present invention;

[0075] Figure 6 Schematic diagram of a noise color map provided by an embodiment of the present invention.

[0076] Figure 7 is a schematic diagram of prediction of road noise optimization results after modifying the simulation transfer function provided by an embodiment of the present invention;

[0077] Figure 8 is an operation flow chart of a road noise optimization method based on predicted noise provided by one embodiment of the present invention;

[0078] Fig. 9 It is a structural schematic diagram of a device for predicting vehicle road noise provided by one embodiment of the present invention;

[0079] Fig.10 It is a structural schematic diagram of a road noise optimization device based on predicted noise provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0080] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0081] Competition in the automotive industry is intensifying. In addition to factors such as brand, price, and appearance, the NVH level of the vehicle (especially the road noise level) is also one of the main factors that affect customers' willingness to buy a car. Therefore, determining the road noise of the vehicle for noise reduction is an important step in the vehicle development process.

[0082] In order to accurately determine the road noise of the whole vehicle, the commonly used method in the study of the road noise performance of the whole vehicle is: in the vehicle development stage, first build a whole vehicle model of the R&D vehicle, and then use the axle head force loading method to perform whole vehicle road noise simulation analysis based on the whole vehicle model of the R&D vehicle to predict the road noise of the R&D vehicle; and then adjust and optimize according to the predicted road noise so that the R&D vehicle can meet the road noise requirements.

[0083] However, the commonly used methods currently have the following technical problems: Each prediction process requires that the chassis bushing stiffness parameters, shock absorber damping parameters and other parameters of the R&D vehicle model be determined and the physical prototype vehicle be manufactured before the whole vehicle module is built based on the physical prototype vehicle to perform prediction analysis based on the whole vehicle model. Moreover, once optimization and adjustment are required, it is necessary to wait for the adjusted physical prototype vehicle before subsequent prediction analysis can be performed, resulting in a long prediction process, low processing efficiency, and a prolonged R&D cycle, which increases R&D costs.

[0084] In order to solve the above problems, a method for predicting vehicle road noise, a method and device for optimizing road noise based on predicted noise provided in the embodiments of the present application will be introduced and explained in detail through the following specific embodiments.

[0085] Reference Figure 1 , showing a flow chart of a method for predicting vehicle road noise provided by an embodiment of the present invention.

[0086] In one embodiment, the method is applicable to a computer, and the computer is provided with simulation software or a simulation system. By calling the simulation software or the simulation system, simulation prediction can be performed to determine the noise of the vehicle's interior road noise.

[0087] Wherein, as an example, the method for predicting the road noise of the entire vehicle may include:

[0088] S11. Obtain a simulation transfer function of a new iteration vehicle model, where the simulation transfer function is an identifiable transfer function obtained by performing NTF simulation analysis on a whole vehicle simulation model of the new iteration vehicle model.

[0089] In one embodiment, the physical parameters of a new model or a new iteration model can be input into the simulation software, and then a whole vehicle simulation model of the new iteration model can be constructed using the physical parameters. Then, an NTF simulation analysis is performed on the whole vehicle simulation model of the new iteration model, and the function obtained from the analysis is formatted to make the function obtained from the analysis into a recognizable transfer function, thereby obtaining a simulation transfer function.

[0090] Among them, physical parameters can be various parameters set in the vehicle development stage, including the length, width and height of various components, frames and chassis. By inputting various physical parameters, a whole vehicle simulation model of a new iteration model can be generated, and subsequent prediction processing can be performed based on the whole vehicle simulation model of the new iteration model. There is no need to wait for the various parameters of the new iteration model to be determined and the physical prototype to be manufactured before performing prediction analysis and processing based on the physical prototype, which can greatly shorten the processing time. In addition, the workload of obtaining the simulation transfer function is very small, which can further shorten the processing cycle and improve processing efficiency.

[0091] Since the chassis structure of the new iteration model is not much different from that of the previous generation model or the basic model, in order to use the chassis structure of the previous generation model or the basic model for analysis to obtain the simulation transfer function, as an example, the acquisition of the simulation transfer function of the new iteration model may include the following sub-steps:

[0092] S111. Establish a whole vehicle simulation model for the new iteration vehicle model through simulation analysis technology.

[0093] S112, performing NTF simulation analysis and calculation on the whole vehicle simulation model to obtain the initial transfer function from the chassis attachment points of all paths of the new iteration vehicle model to the response points inside the vehicle.

[0094] S113: Convert the initial transfer function into a transfer function in a recognizable format to obtain a simulated transfer function.

[0095] Since the chassis of the new iteration model is almost the same as that of the basic model, the difference lies in the body structure. In the early development stage of the new iteration model, the chassis structure of the previous generation model or the basic model can be determined, and on this basis, the whole vehicle simulation model of the new iteration model can be built according to the body structure of the new iteration model. The whole vehicle simulation model of the new iteration model does not require chassis bushing stiffness parameters and shock absorber damping parameters, etc., and the accuracy of the simulation model is easier to ensure.

[0096] Then, the chassis attachment points and the noise response points can be determined on the whole vehicle simulation model, and then the paths from each chassis attachment point to each noise response point can be determined to obtain the chassis attachment points that need to cover all the paths to be analyzed. The NTF simulation analysis and calculation are performed using each noise transmission path to obtain the initial transfer function of all paths from the chassis attachment points of the new iteration model to the in-vehicle response points. Finally, the constructed initial transfer function can be converted into a format that can be recognized by the simulation test software to obtain the simulation transfer function.

[0097] Reference Figure 2 , showing a schematic diagram of a simulation transfer function provided by an embodiment of the present invention.

[0098] In one operation mode, the initial transfer functions of all paths of the new iteration vehicle model can be automatically output by compiling a specific program script; the output initial transfer function simulation file is then converted into a format type recognizable by the test analysis software to obtain a simulation transfer function.

[0099] By compiling a specific program script, the transfer function NTF of all paths of the new iteration vehicle model is automatically output, which greatly reduces the workload of obtaining the simulation transfer function and effectively improves the engineering application convenience of this technical solution.

[0100] Since it is necessary to obtain chassis attachment points that cover all paths to be analyzed, in one embodiment, the whole vehicle simulation model includes a target point model and a path model, wherein, as an example, the whole vehicle simulation model of the new iterative vehicle model is established by simulation analysis technology, including:

[0101] S1111. Determine the structure-borne sound transmission path required for road noise prediction based on the structure of the new iteration vehicle model.

[0102] S1112. After determining the target response point and the chassis attachment point in the vehicle, perform target point modeling according to the position of the target response point to obtain a target point model, and perform structural path modeling according to the position of the chassis attachment point to obtain a path model.

[0103] The target response point is a location point in the vehicle where the sound collection device is placed, and the chassis attachment point is an attachment point of the chassis of the previous generation of basic vehicle models.

[0104] In one operation mode, a binaural transfer path analysis test of the structural path can be performed on the previous generation basic vehicle model. First, the structural sound transfer path that needs to be analyzed can be clarified and determined based on the structure of the new iteration vehicle model. Next, the response point of the noise inside the car can be determined. For example, the co-pilot seat and the rear right passenger seat position can be selected as the target response points, and sound collection devices such as binaural collection devices or ordinary microphones can be placed at the corresponding positions. It should be noted that the target response point can be selected according to the actual vehicle model and the position of concern.

[0105] When determining the chassis attachment points, for chassis attachment points with rubber vibration isolation, one accelerometer can be arranged at the active end of the attachment point, and two accelerometers can be arranged at the passive end of the attachment point, with the position of one accelerometer used as the indicator point and the position of the other accelerometer used as the reference point. The reference point is about 10 cm away from the indicator point, which can be adjusted according to actual needs. For chassis attachment points without rubber vibration isolation, only two accelerometers need to be arranged at the passive end of the attachment point, with the position of one accelerometer used as the indicator point and the position of the other accelerometer used as the reference point. The reference point is about 10 cm away from the indicator point, which can be adjusted according to actual needs. Then, the chassis attachment points that users can select need to cover all the paths to be analyzed, such as front and rear subframe attachment points, front and rear shock absorber attachment points, coil spring attachment points, and control arm attachment points.

[0106] Finally, according to the type of sound collection equipment placed and the location of the placement, the target response point can be modeled on the test software to obtain the target point model; then, according to the location of the accelerometer arranged at the chassis attachment point, the structural path modeling can be performed on the test software to obtain the path model.

[0107] Generally, when a vehicle is updated or modified, the chassis of the new iteration model is almost the same as that of the basic model, and the difference is usually in the body structure. Therefore, it can be assumed that the chassis attachment point force of the new iteration model is almost the same as that of the basic model, and only the body transfer function is different. Based on this premise,

[0108] Therefore, there is no need to conduct binaural transfer path analysis tests on new car models. It is only necessary to calculate the simulation transfer function of the new iteration car model in the simulation analysis software, and then directly use the simulation transfer function of the new iteration car model to calculate the interior noise of the new iteration car model, so as to shorten the processing cycle and duration, thereby improving the processing efficiency.

[0109] S12. Fitting calculation is performed using the simulation transfer function and a preset chassis attachment point force to obtain predicted noise of a new iteration vehicle model, wherein the preset chassis attachment point force is the chassis attachment point force of a previous generation basic vehicle model.

[0110] After obtaining the simulation transfer function of the new iteration model, since the chassis of the new iteration model is almost the same as that of the basic model, the chassis attachment points and corresponding forces of the previous generation basic model can be directly used to obtain the preset chassis attachment point forces. Then, the simulation transfer function and the preset chassis attachment point forces are used for fitting calculation to calculate the predicted noise of the new iteration model. The present invention can improve the accuracy of the predicted noise of the new iteration model through the fitting calculation of the simulation transfer function and the preset chassis attachment point forces.

[0111] Moreover, the technical solution of the present invention calculates the in-vehicle noise response by multiplying the chassis attachment point force and the transfer function, without the need for chassis bushing stiffness parameters and shock absorber damping parameters, etc. The accuracy of the constructed iterative vehicle model interior and body simulation model is easier to ensure, and the accuracy of the transfer function obtained by simulation calculation is relatively higher, thereby ensuring the accuracy of the simulation transfer function and the test attachment point force fitting results.

[0112] Wherein, as an example, the fitting calculation using the simulation transfer function and the preset chassis attachment point force to obtain the predicted noise of the new iteration vehicle model may include the following sub-steps:

[0113] S121. Calculate the predicted noise of the new iteration vehicle model according to the following formula:

[0114]

[0115] In the above formula, NTF is the simulation transfer function, F is the preset chassis attachment point force, P is the predicted noise, and n is the number of transmission paths of road noise, that is, the number of paths from the chassis attachment point to the response point of the noise.

[0116] In the specific calculation, the simulation transfer function of each chassis attachment point of the new model can be multiplied with the preset chassis attachment point force corresponding to the basic model in the test analysis software to obtain the structural road noise response result of each path. Finally, the response results of all paths are superimposed to obtain the total response result in the car, thereby obtaining the predicted noise of the new iteration model.

[0117] By fitting the simulation transfer function with the chassis attachment point force F in the test analysis software, the predicted noise of the new iteration model (i.e., the in-vehicle noise response P) can be obtained, so that the structural sound and road noise problems of the new iteration model can be predicted. Through the above operation method, not only the accuracy of the prediction analysis can be improved, but also the process of prediction analysis can be simplified, the time of preset analysis can be shortened, and the processing efficiency of prediction analysis can be improved.

[0118] Since the chassis of the new iteration model is almost the same as that of the basic model, the chassis attachment points and the forces corresponding to the chassis attachment points of the previous generation basic model can be directly used to obtain the preset chassis attachment point forces. As an example, the operation of obtaining the preset chassis attachment point forces may include the following sub-steps:

[0119] S21. Acquire an excitation force, an indication point response value, and a reference point response value respectively, wherein the excitation force is a hammer force collected after striking in different directions on the side of the attachment point of the previous generation base vehicle model, the indication point response value is a vibration response value of the indication point on the side of the attachment point of the previous generation base vehicle model, and the reference point response value is a vibration response value of the reference point on the side of the indication point of the previous generation base vehicle model.

[0120] S22. Calculate the origin transfer function of the attachment point using the excitation force and the indication point response value.

[0121] S23, using the origin transfer function and the reference point response value to calculate the chassis attachment point force of the attachment point.

[0122] Reference Figure 3 , showing a schematic waveform diagram of the chassis attachment point force of the attachment point provided by an embodiment of the present invention.

[0123] In one operation mode, since the chassis of the new iteration model is almost the same as that of the basic model, the difference lies in the body structure. In the early development stage of the new iteration model, after the whole vehicle simulation model of the new iteration model is established through simulation analysis technology, the hammer test parameters, accelerometer parameters and software test channel parameter settings can be set in the test software.

[0124] During the test, a small aluminum block can be attached next to the attachment point, and a force hammer can be used to hit the small aluminum block in the X, Y, and Z directions (these three directions are consistent with the X, Y, and Z directions of the vehicle). The force of the force hammer can be collected using a data acquisition instrument to obtain the excitation force F. Similarly, the accelerometer response of the indicator point next to the attachment point can be obtained to obtain the indicator point response value A. 指示点 .

[0125] On this basis, keeping the positions of the in-vehicle sound collection equipment and the accelerometers near the chassis attachment points unchanged, the test vehicle can be driven to the test site to obtain the vibration response of the accelerometer at the reference point near each chassis attachment point, and the reference point response value A can be obtained. 参考点 .

[0126] Next, the origin transfer function of the attachment point can be calculated using the excitation force and the indicator point response value. Specifically, the origin transfer function (I transfer function) of each chassis attachment point can be calculated based on the hammer excitation force F and the indicator point response value, as shown in the following formula: Origin transfer function (I transfer function) = indicator point response value A 指示点 / incentive force F).

[0127] Finally, the chassis attachment point force at the attachment point can be calculated using the origin transfer function and the reference point response value. Figure 3 As shown. Specifically, the chassis attachment point force can be calculated using the following formula:

[0128] Chassis attachment point force F = A 参考点 / I 传函 .

[0129] In one embodiment, after obtaining the chassis attachment point force of the attachment point, it can be determined whether the chassis attachment point force of the attachment point meets the simulation condition. If not, it needs to be adjusted to avoid using the chassis attachment point force of an abnormal attachment point for prediction analysis, which may cause analysis errors. As an example, after the step of obtaining the preset chassis attachment point force, the method may further include the following sub-steps:

[0130] S31. Fitting calculation is performed using the preset chassis attachment point force and the preset test transfer function to obtain test noise, wherein the preset test transfer function is a transfer function constructed based on the knocking noise response and the excitation force after the attachment point of the previous generation basic vehicle model is knocked in different directions to obtain the knocking noise response.

[0131] S32: If the noise curve of the test noise is the same as the noise curve of the preset working condition noise, it is determined that the preset chassis attachment point force meets the simulation condition.

[0132] S33: If the noise curve of the test noise is different from the noise curve of the preset working condition noise, it is determined that the preset chassis attachment point force does not meet the simulation condition.

[0133] Among them, the preset operating condition noise is the in-vehicle noise collected by performing operating condition testing on vehicles of the previous generation of basic models according to road noise test conditions.

[0134] In a specific operation method, a preset chassis attachment point force and a preset test transfer function can be used for fitting calculation to obtain test noise, wherein the preset test transfer function is a transfer function constructed based on the knocking noise response and the excitation force after the attachment point of the previous generation basic vehicle model is knocked in different directions to obtain the knocking noise response.

[0135] For example, the test noise P can be calculated according to the following formula: 试验 :

[0136]

[0137] In actual operation, the test analysis software can be used to fit the preset chassis attachment point forces under each path extracted and the test transfer function NTF from the attachment point to the response point in the vehicle to obtain the test noise P. 试验 Next, the preset working condition noise can be obtained. The preset working condition noise can also be analyzed as in steps S21 to S23, keeping the position of the in-vehicle sound collection device and the accelerometer near the chassis attachment point unchanged, and the test vehicle can be driven to the test site, and the working condition test can be carried out according to the road noise test working condition, and the in-vehicle noise of the working condition can be collected to obtain the preset working condition noise P 工况 .

[0138] Next, the test noise may be imported into the test analysis software to generate a noise curve of the test noise, and then the preset working condition noise may be imported to generate a noise curve of the preset working condition noise.

[0139] Reference Figure 4 , showing a schematic diagram of noise curve comparison provided by an embodiment of the present invention.

[0140] After obtaining the noise curve, it can be determined whether the noise curve of the test noise is the same as the noise curve of the preset working condition noise. Figure 4 As shown. If the noise curve of the test noise is the same as the noise curve of the preset working condition noise, it means that the data of the chassis attachment point force F and the test transfer function NTF from the attachment point to the response point in the vehicle are reliable, and it can be determined that the preset chassis attachment point force meets the simulation conditions. On the contrary, if the noise curve of the test noise is different from the noise curve of the preset working condition noise, it means that the data of the chassis attachment point force F and the test transfer function NTF from the attachment point to the response point in the vehicle are unreliable, and it can be determined that the preset chassis attachment point force does not meet the simulation conditions.

[0141] In addition, after obtaining the predicted noise, you can also import the predicted noise into the test analysis software, and then determine the noise source according to the noise curve for further optimization. Figure 4 shown.

[0142] In order to obtain a test transfer function to determine whether a preset chassis attachment point force satisfies a simulation condition, in one embodiment, the operation of obtaining the preset test transfer function may include the following sub-steps:

[0143] S41. Calculate a preset test transfer function using the excitation force and a preset in-vehicle sound response value.

[0144] Among them, the preset in-vehicle sound response value is the response value collected by the sound collection device in the vehicle when the side of the attachment point of the previous generation basic vehicle model is knocked in different directions.

[0145] Specifically, as in the analysis of steps S21 to S23, during the test, a small aluminum block can be attached next to the attachment point, and a hammer can be used to hit the small aluminum block in the X, Y, and Z directions (wherein these three directions are consistent with the X, Y, and Z directions of the entire vehicle). At this time, the response of the sound collection device inside the vehicle can be obtained to obtain the preset vehicle interior sound response value P. 传函 .

[0146] Next, the preset test transfer function can be calculated using the excitation force and the preset in-vehicle sound response value according to the following calculation formula. The specific calculation is as follows:

[0147] NTF 试验 =P传函 / F 力锤 .

[0148] In this embodiment, the embodiment of the present invention provides a method for predicting the road noise of a whole vehicle, and its beneficial effects are: the present invention can perform NTF simulation analysis on the whole vehicle simulation model of the new iteration vehicle model to obtain an identifiable simulation transfer function; the simulation transfer function and the chassis attachment point force of the previous generation basic vehicle model are used to perform fitting calculations to obtain the predicted noise of the new iteration vehicle model. Since the chassis structure of the new iteration vehicle model is not much different from that of the previous generation vehicle model or the basic vehicle model, the chassis structure of the previous generation vehicle model or the basic vehicle model can be directly used to predict the noise of the new iteration vehicle model, without determining the various parameters of the new iteration vehicle model and manufacturing the physical prototype before performing the prediction analysis process, which can greatly shorten the processing cycle of the prediction analysis, simplify the process of prediction processing, and improve the efficiency of the prediction; and the combination of the simulation transfer function and the chassis attachment point force for fitting calculation can be more in line with the actual structure of the vehicle, thereby improving the accuracy of the calculation.

[0149] Reference Figure 5 , which shows a flow chart of a road noise optimization method based on predicted noise provided by an embodiment of the present invention.

[0150] Wherein, as an example, the road noise optimization method based on predicted noise may include:

[0151] S51. After obtaining predicted noise according to the method for predicting vehicle road noise described in the above embodiment, convert the predicted noise into a noise color map.

[0152] S52: extracting the peak frequency of the in-vehicle road noise response and the path corresponding to the peak frequency from the noise color map to obtain the road noise path.

[0153] S53: Perform road noise optimization according to the peak frequency point and the road noise path.

[0154] In one operation mode, after obtaining the predicted noise according to the whole vehicle road noise prediction method described in the above embodiment, the contribution analysis of the new iteration vehicle structure-borne road noise problem can be performed to identify the main energy contribution path to the vehicle interior noise.

[0155] Specifically, the in-car road noise response results of the concerned position (such as the right ear of the right rear passenger) in the new car and the road noise response results of each path in the predicted noise are converted into a noise color map.

[0156] Specifically, the road noise response results inside the vehicle and the road noise response results of each path in the predicted noise can be pulled into the Color Band Diagram to obtain a noise color map.

[0157] Reference Figure 6 , which shows a schematic diagram of a noise color map provided by an embodiment of the present invention. It should be noted that, Figure 6 It is equivalent to a spectrum diagram. The vertical axis on the right shows the sound pressure level result, and the horizontal axis is the frequency. Figure 6 The color display can show which frequency has the highest sound pressure level, and thus determine that this is the peak frequency.

[0158] The peak frequency of the road noise response in the vehicle can be identified based on the noise color map (e.g. Figure 6 R Right in the yellow area of ​​the color map), and the path that contributes most to the peak point, and the road noise path (such as Figure 6 The path corresponding to the yellow area in the dotted box).

[0159] After locking the peak frequency point to be optimized and the path that contributes most to this peak frequency point, you can further analyze the attachment point force and transfer function of the path that contributes most to confirm whether the path contributes most because the attachment point force is too large or the transfer function is large, or both contributions are large. Figure 3 If only the peak frequency of the force spectrum curve corresponds to the peak frequency of the in-vehicle road noise response, it means that the reason why the path contributes greatly is the large attachment point force; similarly, if only the peak frequency of the transfer function corresponds to the peak frequency of the in-vehicle road noise response, it means that the reason why the path contributes greatly is the large transfer function; if both the force spectrum and the transfer function peak frequencies correspond to the peak frequency of the in-vehicle road noise response, it means that the reason why the path contributes greatly is the large attachment point force and the large transfer function.

[0160] Subsequently, the attachment point force F or the transfer function NTF is optimized and adjusted according to the judgment result. Specifically, the magnitude of the attachment point force F or the transfer function NTF of the main contribution path can be manually modified in the software.

[0161] Reference Figure 7 , shows a schematic diagram of the prediction of the road noise optimization result after modifying the simulation transfer function provided by an embodiment of the present invention.

[0162] Taking the modification of the simulation transfer function of the main contribution path as an example, flattening in the test analysis software Figure 7 The peak of the green curve in the middle left picture is flattened. Figure 7 The predicted noise (i.e., the in-vehicle noise response P) is recalculated according to the above embodiment. The recalculated in-vehicle noise response P is shown as Figure 7 The red curve in the middle right figure.

[0163] The effect of optimization can be evaluated (compared to Figure 7 The two curves in the middle right figure illustrate the modification Figure 7 The transfer function in the left figure contributes less to the total response of the interior noise, the peak value that exceeds the standard is partially reduced, and the total sound pressure level is reduced by 1dB(A). By trying to modify the transfer function NTF or attachment point force of all paths with large contributions in the test analysis software, the path with obvious peak optimization effect after modification is locked, and finally the optimization direction of the NVH problem is confirmed (which path's attachment point force or transfer function NTF is optimized), so as to guide the optimization of the body structure of the new iteration model in the simulation software.

[0164] Reference Figure 8 , shows an operation flow chart of a road noise optimization method based on predicted noise provided by an embodiment of the present invention.

[0165] In specific operations, the operation of the road noise optimization method based on predicted noise may include the following steps:

[0166] The first step is to conduct binaural transfer path analysis tests on the previous generation base vehicle model.

[0167] The second step is to use the test analysis software to extract the basic vehicle transfer function NTF 试验 And the attachment point force F.

[0168] The third step is to perform NTF simulation analysis and calculation on the whole vehicle simulation model of the new iteration model to obtain the transfer function NTF of the new vehicle 仿真 .

[0169] The fourth step is to compile program code to automatically output the transfer function NTF of the new iteration vehicle model, and then convert it into a format that can be recognized by the test analysis software.

[0170] The fifth step is to simulate the transfer function NTF 仿真 The test attachment point force F is fitted and calculated to obtain the interior response P of the new iteration model, and the structural sound road noise problem of the new car is predicted.

[0171] The sixth step is to analyze the contribution of structural sound and road noise problems of new iteration models and determine the main contribution paths.

[0172] Step 7: Modify the attachment point force F or transfer function NTF 仿真 , determine the optimization direction, and guide the optimization of the body structure of the new iteration model.

[0173] This method can predict the road noise level of a new car before the physical prototype of the new iterative model comes out, and can provide optimization direction guidance for the problem of excessive road noise, which helps to shorten the verification and problem optimization time of newly developed models and is suitable for iterative optimization of road noise performance of architecture models.

[0174] In this embodiment, the embodiment of the present invention provides a road noise optimization method based on predicted noise, and its beneficial effect is that: after obtaining the predicted noise, the present invention can convert the predicted noise into a noise color map; extract the peak frequency of the road noise response in the vehicle and the path corresponding to the peak frequency from the noise color map to obtain the road noise path; and optimize the road noise according to the peak frequency and the road noise path. By converting the predicted noise into a noise color map of a color spectrum, the peak frequency and the road noise path of the noise can be quickly extracted from the noise color map, and optimization and adjustment can be performed according to the peak frequency and the road noise path, which can make the optimization target clearer and improve the optimization efficiency and accuracy.

[0175] The present invention also provides a device for predicting vehicle road noise. Fig. 9 , showing a schematic structural diagram of a device for predicting vehicle road noise provided by an embodiment of the present invention.

[0176] Wherein, as an example, the whole vehicle road noise prediction device may include:

[0177] An acquisition module 901 is used to acquire a simulation transfer function of a new iteration vehicle model, where the simulation transfer function is an identifiable transfer function obtained by performing NTF simulation analysis on a whole vehicle simulation model of the new iteration vehicle model;

[0178] The prediction module 902 is used to use the simulation transfer function and the preset chassis attachment point force to perform fitting calculation to obtain the predicted noise of the new iteration vehicle model, wherein the preset chassis attachment point force is the chassis attachment point force of the previous generation basic vehicle model.

[0179] Optionally, the fitting calculation of the simulation transfer function and the preset chassis attachment point force to obtain the predicted noise of the new iteration vehicle model includes:

[0180] The predicted noise of the new iteration model is calculated according to the following formula:

[0181]

[0182] In the above formula, NTF is the simulation transfer function, F is the preset chassis attachment point force, P is the predicted noise, and n is the number of transmission paths of road noise.

[0183] Optionally, obtaining the simulation transfer function of the new iterative vehicle model includes:

[0184] Establish a whole vehicle simulation model for new iteration models through simulation analysis technology;

[0185] Performing NTF simulation analysis and calculation on the whole vehicle simulation model to obtain the initial transfer function of all paths from the chassis attachment point to the in-vehicle response point of the new iteration model;

[0186] The initial transfer function is converted into a transfer function in a recognizable format to obtain a simulated transfer function.

[0187] Optionally, the whole vehicle simulation model includes a target point model and a path model, and the whole vehicle simulation model of the new iterative vehicle model is established by using simulation analysis technology, including:

[0188] Determine the structure-borne sound transmission path required for road noise prediction based on the structure of the new iteration vehicle model;

[0189] After determining the target response point and the chassis attachment point in the vehicle, target point modeling is performed according to the position of the target response point to obtain a target point model, and structural path modeling is performed according to the position of the chassis attachment point to obtain a path model;

[0190] The target response point is a location point in the vehicle where the sound collection device is placed, and the chassis attachment point is an attachment point of the chassis of the previous generation of basic vehicle models.

[0191] Optionally, the operation of obtaining the preset chassis attachment point force includes:

[0192] Acquire an excitation force, an indication point response value, and a reference point response value respectively, wherein the excitation force is a hammer force collected after striking in different directions on the side of the attachment point of the previous generation base vehicle model, the indication point response value is a vibration response value of the indication point on the side of the attachment point of the previous generation base vehicle model, and the reference point response value is a vibration response value of the reference point on the side of the indication point of the previous generation base vehicle model;

[0193] Calculating the origin transfer function of the attachment point using the excitation force and the indication point response value;

[0194] The chassis attachment point force of the attachment point is calculated using the origin transfer function and the reference point response value.

[0195] Optionally, the device further comprises:

[0196] a test noise module, configured to obtain test noise by fitting the preset chassis attachment point force and a preset test transfer function after obtaining the preset chassis attachment point force, wherein the preset test transfer function is a transfer function constructed according to the knocking noise response and the excitation force after the attachment point side of the previous generation basic vehicle model is knocked in different directions to obtain the knocking noise response;

[0197] A determination satisfying module, configured to determine that a preset chassis attachment point force satisfies a simulation condition if a noise curve of the test noise is the same as a noise curve of a preset working condition noise;

[0198] a determination module for determining that a preset chassis attachment point force does not satisfy a simulation condition if a noise curve of the test noise is different from a noise curve of a preset working condition noise;

[0199] Among them, the preset operating condition noise is the in-vehicle noise collected by performing operating condition testing on vehicles of the previous generation of basic models according to road noise test conditions.

[0200] Optionally, the operation of obtaining the preset test transfer function includes:

[0201] Calculating a preset test transfer function using the excitation force and a preset in-vehicle sound response value;

[0202] Among them, the preset in-vehicle sound response value is the response value collected by the sound collection device in the vehicle when the side of the attachment point of the previous generation basic vehicle model is knocked in different directions.

[0203] The embodiment of the present invention also provides a road noise optimization device based on predicted noise, see Fig.10 , showing a schematic structural diagram of a road noise optimization device based on predicted noise provided by an embodiment of the present invention.

[0204] Wherein, as an example, the road noise optimization device based on predicted noise may include:

[0205] A conversion module 1001 is used to convert the predicted noise into a noise color map after obtaining the predicted noise according to the prediction method of the whole vehicle road noise;

[0206] An extraction module 1002 is used to extract the peak frequency of the in-vehicle road noise response and the path corresponding to the peak frequency from the noise color map to obtain the road noise path;

[0207] The optimization module 1003 is configured to perform road noise optimization according to the peak frequency point and the road noise path.

[0208] Those skilled in the art can clearly understand that, for the sake of convenience and brevity of description, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0209] Furthermore, an embodiment of the present application also provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for predicting the road noise of the entire vehicle as described in the above embodiment or the method for optimizing the road noise based on the predicted noise is implemented.

[0210] Furthermore, an embodiment of the present application also provides a computer-readable storage medium, which stores a computer-executable program, and the computer-executable program is used to enable a computer to execute the vehicle road noise prediction method or the road noise optimization method based on the predicted noise as described in the above embodiments.

[0211] It should be noted that the orientation or positional relationship indicated by the terms "upper", "lower", etc. is based on the orientation or positional relationship shown in the accompanying drawings, which is only for the convenience of describing the embodiments of the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. When an element such as a layer, region or substrate is referred to as being "on" or "above" another element, it can be directly on the other element, or there can also be an intermediate element. On the contrary, when an element is referred to as "directly on" or "above" another element, there is no intermediate element. It should also be understood that when an element is referred to as being "under" or "below" another element, it can be directly under or below the other element, or there can also be an intermediate element. On the contrary, when an element is referred to as being "directly under" or "below" another element, there is no intermediate element. Unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0212] Those skilled in the art will appreciate that the embodiments of the present application may also provide computer program products. Therefore, the present application may adopt the form of complete hardware embodiments, complete software embodiments, or embodiments in combination with software and hardware. Moreover, the present application may adopt the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program codes.

[0213] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), apparatuses, and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0214] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0215] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0216] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for predicting vehicle road noise, characterized in that: The method comprises: Acquire a simulation transfer function of a new iteration vehicle model, where the simulation transfer function is an identifiable transfer function obtained by performing NTF simulation analysis on a whole vehicle simulation model of the new iteration vehicle model; The simulation transfer function is fitted with a preset chassis attachment point force to obtain the predicted noise of the new iteration vehicle model, wherein the preset chassis attachment point force is the chassis attachment point force of the previous generation basic vehicle model.

2. The method for predicting vehicle road noise according to claim 1, characterized in that: The simulation transfer function is used to perform fitting calculation with the preset chassis attachment point force to obtain the predicted noise of the new iteration vehicle model, including: The predicted noise of the new iteration model is calculated according to the following formula: In the above formula, NTF is the simulation transfer function, F is the preset chassis attachment point force, P is the predicted noise, and n is the number of transmission paths of road noise.

3. The method for predicting vehicle road noise according to claim 1, characterized in that: The step of obtaining the simulation transfer function of the new iterative vehicle model includes: Establish a whole vehicle simulation model for new iteration models through simulation analysis technology; Performing NTF simulation analysis and calculation on the whole vehicle simulation model to obtain the initial transfer function of all paths from the chassis attachment point to the in-vehicle response point of the new iteration model; The initial transfer function is converted into a transfer function in a recognizable format to obtain a simulated transfer function.

4. The method for predicting vehicle road noise according to claim 3, characterized in that: The whole vehicle simulation model includes a target point model and a path model. The whole vehicle simulation model of the new iterative vehicle model is established by using simulation analysis technology, including: Determine the structure-borne sound transmission path required for road noise prediction based on the structure of the new iteration vehicle model; After determining the target response point and the chassis attachment point in the vehicle, target point modeling is performed according to the position of the target response point to obtain a target point model, and structural path modeling is performed according to the position of the chassis attachment point to obtain a path model; The target response point is a location point in the vehicle where the sound collection device is placed, and the chassis attachment point is an attachment point of the chassis of the previous generation of basic vehicle models.

5. The method for predicting vehicle road noise according to claim 1, characterized in that: The operation of obtaining the preset chassis attachment point force includes: Acquire an excitation force, an indication point response value, and a reference point response value respectively, wherein the excitation force is a hammer force collected after striking in different directions on the side of the attachment point of the previous generation base vehicle model, the indication point response value is a vibration response value of the indication point on the side of the attachment point of the previous generation base vehicle model, and the reference point response value is a vibration response value of the reference point on the side of the indication point of the previous generation base vehicle model; Calculating the origin transfer function of the attachment point using the excitation force and the indication point response value; The chassis attachment point force of the attachment point is calculated using the origin transfer function and the reference point response value.

6. The method for predicting vehicle road noise according to claim 5, characterized in that: After the step of obtaining the preset chassis attachment point force, the method further comprises: The preset chassis attachment point force and the preset test transfer function are used to perform fitting calculation to obtain test noise, wherein the preset test transfer function is a transfer function constructed according to the knocking noise response and the excitation force after the attachment point side of the previous generation basic vehicle model is knocked in different directions to obtain the knocking noise response; If the noise curve of the test noise is the same as the noise curve of the preset working condition noise, it is determined that the preset chassis attachment point force meets the simulation condition; If the noise curve of the test noise is different from the noise curve of the preset working condition noise, it is determined that the preset chassis attachment point force does not meet the simulation condition; The preset operating condition noise is the in-vehicle noise collected by performing operating condition tests on vehicles of the previous generation of basic models according to road noise test conditions.

7. The method for predicting vehicle road noise according to claim 6, characterized in that: The operation of obtaining the preset test transfer function includes: Calculating a preset test transfer function using the excitation force and a preset in-vehicle sound response value; Among them, the preset in-vehicle sound response value is the response value collected by the sound collection device in the vehicle when the side of the attachment point of the previous generation basic vehicle model is knocked in different directions.

8. A road noise optimization method based on predicted noise, characterized in that: The method comprises: After obtaining predicted noise according to the method for predicting vehicle road noise according to any one of claims 1 to 6, converting the predicted noise into a noise color map; Extracting the peak frequency of the in-vehicle road noise response and the path corresponding to the peak frequency from the noise color map to obtain the road noise path; Road noise optimization is performed according to the peak frequency point and the road noise path.

9. A device for predicting vehicle road noise, characterized in that: The device comprises: An acquisition module, used to acquire a simulation transfer function of a new iteration vehicle model, wherein the simulation transfer function is an identifiable transfer function obtained by performing NTF simulation analysis on a whole vehicle simulation model of the new iteration vehicle model; The prediction module is used to use the simulation transfer function and the preset chassis attachment point force to perform fitting calculation to obtain the predicted noise of the new iteration vehicle model, wherein the preset chassis attachment point force is the chassis attachment point force of the previous generation basic vehicle model.

10. A road noise optimization device based on predicted noise, characterized in that: The device comprises: A conversion module, configured to convert the predicted noise into a noise color map after the predicted noise is obtained by the method for predicting the whole vehicle road noise according to any one of claims 1 to 6; An extraction module, used to extract the peak frequency of the in-vehicle road noise response and the path corresponding to the peak frequency from the noise color map to obtain the road noise path; An optimization module is used to optimize the road noise according to the peak frequency point and the road noise path.

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