Vehicle outfield noise prediction method and device, electronic equipment and storage medium

Abstract

The invention discloses a vehicle outfield noise prediction method and device, electronic equipment and a storage medium. The vehicle outfield noise prediction method comprises the following steps: acquiring a first sound transfer function from each noise source on a vehicle to a sound source near field, near-field noise values of the vehicle under different operation conditions and a second sound transfer function from each noise source on the vehicle to a far-field observation point; determining the sound power of each noise source on the vehicle according to the first sound transfer function and the near-field noise value; and obtaining a far-field noise prediction value of each noise source on the vehicle according to the sound power of each noise source on the vehicle and the second sound transfer function. By adopting the method, accurate prediction of the vehicle outfield noise can be realized, the uncertainty of model simplification and environmental parameter setting can be avoided, so that the prediction precision and efficiency are improved, the cost is reduced, and the method has higher applicability and flexibility.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle noise prediction, and in particular to a vehicle external noise prediction method and a device, electronic equipment and storage medium thereof. Background Art

[0002] In the relevant technologies, vehicle noise is one of the main sources of urban environmental noise, which has a negative impact on the quality of life of residents and the urban environment. Traditional vehicle noise prediction methods rely on complex physical models or a large number of field tests, and mostly use empirical formulas, statistical models or simulation methods based on physical models.

[0003] However, these methods usually include vehicle parameter input, road condition setting, noise source model establishment, sound propagation model simulation and other steps. The operation is complicated and the prediction accuracy is limited. It is not only time-consuming and laborious, but also the prediction accuracy is affected by factors such as model simplification and inaccurate environmental parameter setting. There is a deviation between the prediction result and the actual value. In addition, for different vehicle models and working conditions, the model adjustment is complicated and it is difficult to respond to market demand quickly. In addition, in field tests, external factors such as environmental noise and meteorological conditions are easy to interfere with the test results and affect the prediction accuracy. Although the simulation model based on ray tracing or finite element method can simulate the sound propagation process, the simulation method based on physical model has a large amount of calculation and requires high-performance computer support. It has high requirements for computer resources and high cost, and it is difficult to accurately reflect the sound propagation characteristics in complex environments. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, one purpose of the present invention is to propose a method for predicting vehicle external noise, which can achieve accurate prediction of vehicle external noise, avoid the uncertainty of model simplification and environmental parameter setting, thereby improving the accuracy and efficiency of prediction, reducing costs, and having higher applicability and flexibility.

[0005] A second object of the present invention is to provide a vehicle external field noise prediction device.

[0006] A third objective of the present invention is to provide an electronic device.

[0007] A second objective of the present invention is to provide a computer storage medium.

[0008] In order to solve the above problems, an embodiment of the first aspect of the present invention provides a method for predicting vehicle external field noise, including: obtaining a first sound transfer function from each noise source on the vehicle to the near field of the sound source, the near-field noise value of the vehicle under different operating conditions, and a second sound transfer function from each noise source on the vehicle to a far-field observation point; determining the sound power of each noise source on the vehicle according to the first sound transfer function and the near-field noise value; and obtaining a far-field noise prediction value of each noise source on the vehicle according to the sound power of each noise source on the vehicle and the second sound transfer function.

[0009] According to the vehicle external field noise prediction method of the embodiment of the present invention, the first acoustic transmission function, the second acoustic transmission function of each noise source on the vehicle and the near-field noise value of the vehicle under different operating conditions are obtained by direct measurement, and then the acoustic power of each noise source on the vehicle is accurately calculated through the acoustic calculation model, and the far-field noise prediction value of each noise source on the vehicle is further obtained. Therefore, the application based on the comprehensive application of the above-mentioned direct measurement technology and acoustic calculation model can more accurately simulate the propagation and superposition process of sound, realize the accurate prediction of the vehicle external field noise, avoid the errors caused by model simplification and indirect measurement and the uncertainty of environmental parameter setting, so as to further improve the accuracy of prediction. At the same time, by utilizing the characteristics of the acoustic transmission function, it can flexibly adapt to different vehicle models, working conditions and environmental conditions, has a wide range of applicability, reduces the need for field testing and complex model calculation, reduces costs, improves efficiency, reduces the impact of external factors on test results, and further improves the accuracy of prediction.

[0010] In some embodiments, obtaining a first acoustic transfer function from each noise source on the vehicle to a near field of the sound source includes: performing a near field acoustic transfer function test on the noise source of the vehicle to obtain a first acoustic transfer function corresponding to each noise source, wherein the noise source includes at least one or more of a tire, a powertrain, an electric drive assembly, and an exhaust system assembly.

[0011] In some embodiments, in the near-field acoustic transfer function test of the sound source, multiple near-field response points and multiple excitation points are set at each noise source, and obtaining the first acoustic transfer function corresponding to each noise source includes: for each noise source, obtaining a first sound pressure value at each near-field response point and a first sound source volume acceleration at each excitation point; for each noise source, determining a first initial acoustic transfer function of each near-field response point to different excitation points according to the first sound pressure value and the first sound source volume acceleration; for each noise source, calculating the average value of the first initial acoustic transfer function of each near-field response point to different excitation points according to each near-field response point, so as to obtain the first acoustic transfer function corresponding to different near-field response points at each noise source.

[0012] In some embodiments, when determining the sound power of each noise source on the vehicle according to the first sound transfer function and the near-field noise value, the specific formula is: .in, is the sound power, is the near-field noise value, This is the first sound transmission letter.

[0013] In some embodiments, obtaining a second acoustic transfer function from each noise source on the vehicle to a far-field observation point includes: performing a far-field acoustic transfer function test on the noise source of the vehicle to obtain a second acoustic transfer function from each noise source on the vehicle to the far-field observation point, wherein the noise source includes at least one or more of a tire, a powertrain, an electric drive assembly, and an exhaust system assembly.

[0014] In some embodiments, in the far-field sound transfer function test, multiple far-field response points are set at each noise source, and a second sound transfer function from each noise source on the vehicle to the far-field observation point is obtained, including: for each noise source, a second sound pressure value at each far-field response point and a second sound source volume acceleration at the far-field observation point for different far-field response points are obtained; for each noise source, a second initial sound transfer function from each far-field response point to the far-field observation point is determined according to the second sound pressure value and the second sound source volume acceleration; for each noise source, an average value of the second initial sound transfer function from each far-field response point to the far-field observation point is calculated according to the second sound pressure value and the second sound source volume acceleration, so as to obtain the second sound transfer function from each noise source to the far-field observation point.

[0015] In some embodiments, when obtaining the far-field noise prediction value of each noise source on the vehicle according to the sound power of each noise source on the vehicle and the second sound transfer function, the specific formula is: .in, is the predicted value of the far-field noise, is the sound power, This is the second transmission letter.

[0016] A second aspect of the present invention provides a vehicle external field noise prediction device, including: a first acquisition module, used to obtain a first sound transfer function from each noise source on the vehicle to the near field of the sound source, the near-field noise value of the vehicle under different operating conditions, and a second sound transfer function from each noise source on the vehicle to a far-field observation point; a determination module, used to determine the sound power of each noise source on the vehicle according to the first sound transfer function and the near-field noise value; a second acquisition module, used to obtain a far-field noise prediction value of each noise source on the vehicle according to the sound power of each noise source on the vehicle and the second sound transfer function.

[0017] According to the vehicle external field noise prediction device of the embodiment of the present invention, its second acquisition module can obtain the far-field noise prediction value of each noise source on the vehicle according to the sound power of each noise source on the vehicle determined by the determination module and the second sound transfer function obtained by the first acquisition module, which can avoid the uncertainty of model simplification and environmental parameter setting, thereby improving the accuracy and efficiency of prediction, reducing costs, and can flexibly adapt to different vehicle models, working conditions and environmental conditions, and has wide applicability.

[0018] A third aspect of the present invention provides an electronic device, comprising: at least one processor; a memory communicatively connected to at least one of the processors; wherein the memory stores a computer program executable by at least one of the processors, and when at least one of the processors executes the computer program, the vehicle external field noise prediction method described in the above embodiment is implemented.

[0019] The electronic device according to the embodiment of the present invention includes a processor which can implement the vehicle external field noise prediction method in the above embodiment when executing a computer program. The method can obtain the far-field noise prediction value of each noise source on the vehicle, avoid the uncertainty of model simplification and environmental parameter setting, thereby improving the accuracy and efficiency of the prediction and reducing the cost. The method has higher applicability and flexibility.

[0020] A fourth aspect of the present invention provides a computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the vehicle external field noise prediction method described in the above embodiment.

[0021] According to the computer storage medium of the embodiment of the present invention, the computer program thereon can implement the vehicle external field noise prediction method in the above-mentioned embodiment when being executed by the processor. The method can obtain the far-field noise prediction value of each noise source on the vehicle, and can avoid the uncertainty of model simplification and environmental parameter setting, thereby improving the accuracy and efficiency of the prediction and reducing the cost. The method has higher applicability and flexibility.

[0022] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which: Figure 1 is a flow chart of a vehicle external field noise prediction method according to an embodiment of the present invention; Figure 2 is a schematic diagram of a response point of a tire according to an embodiment of the present invention; Figure 3 is a schematic diagram of excitation points of a tire according to one embodiment of the present invention; Figure 4 is a schematic diagram of a response point of a powertrain or electric drive assembly according to an embodiment of the present invention; Figure 5 is a schematic diagram of an excitation point of a powertrain or electric drive assembly according to an embodiment of the present invention; Figure 6 is a schematic diagram of a response point of an exhaust system assembly according to an embodiment of the present invention; Figure 7 is a schematic diagram of an excitation point of an exhaust system assembly according to an embodiment of the present invention; Figure 8 is a schematic diagram of a far-field acoustic transfer function testing device according to an embodiment of the present invention; Fig. 9 is a flow chart of a vehicle external field noise prediction method according to another embodiment of the present invention; Fig.10 is a block diagram of a vehicle external field noise prediction device according to an embodiment of the present invention.

[0024] Reference numerals: Vehicle external field noise prediction device 100; A first acquisition module 10, a determination module 20, and a second acquisition module 30; Signal acquisition generator 1, amplifier 2, volume sound source 3, first bracket 4, microphone 5, computer 6, second bracket 7. DETAILED DESCRIPTION

[0025] Embodiments of the present invention are described in detail below. The embodiments described with reference to the accompanying drawings are exemplary. Embodiments of the present invention are described in detail below.

[0026] In order to solve the above problems, the first embodiment of the present invention provides a vehicle external field noise prediction method. This method can obtain the far-field noise prediction value of each noise source on the vehicle, avoid the uncertainty of model simplification and environmental parameter setting, thereby improving the prediction accuracy and efficiency and reducing costs. The method has higher applicability and flexibility.

[0027] Reference below Figure 1 The vehicle external noise prediction method according to an embodiment of the present invention is described as follows: Figure 1 As shown, the method includes steps S1 to S3.

[0028] Step S1, obtaining a first acoustic transfer function from each noise source on the vehicle to the near field of the sound source, a near field noise value of the vehicle under different operating conditions, and a second acoustic transfer function from each noise source on the vehicle to a far field observation point.

[0029] Among them, the noise sources on the vehicle can be components such as tires, powertrain, electric drive assembly and exhaust system assembly. In addition, different operating conditions of the vehicle, that is, different working conditions of the vehicle during driving, including starting, acceleration, constant speed, deceleration, turning, uphill and downhill, parking and other operating conditions, the near-field noise values ​​of the vehicle under different operating conditions are different.

[0030] Specifically, the acoustic transmission function is an important parameter that describes the path attenuation characteristics of sound propagating from the sound source to the receiving point. The first acoustic transmission function and the second acoustic transmission function can be obtained by using advanced acoustic measurement technology, such as obtaining the first acoustic transmission function from each noise source on the vehicle to the near field of the sound source and the second acoustic transmission function from each noise source to the far-field observation point through high-precision sensors such as microphones. Among them, the second acoustic transmission function from each noise source to the far-field observation point is accurately measured, including the attenuation, reflection, diffraction and other effects of sound on the propagation path. Accurate measurement of the acoustic transmission function is the basis for ensuring that the prediction model can accurately reflect the propagation characteristics of sound in a complex environment. Combining the dual considerations of the sound source characteristics and the propagation path can significantly improve the accuracy of the prediction. In addition, the near-field noise value of the vehicle under different operating conditions can also be obtained through microphone measurement.

[0031] Step S2, determining the sound power of each noise source on the vehicle according to the first sound transfer function and the near-field noise value.

[0032] Specifically, existing methods usually obtain the sound power of sound sources based on indirect measurement or model estimation, while the present invention directly measures the first sound transfer function from each sound source of the vehicle to the near field of the sound source, as well as the noise level of the near field of the sound source under various operating conditions through high-precision sensors, thereby accurately calculating the sound power of the sound source under various operating conditions, thereby reducing the errors caused by model simplification and indirect measurement and improving the accuracy of sound power measurement.

[0033] Step S3, obtaining a far-field noise prediction value of each noise source on the vehicle according to the sound power of each noise source on the vehicle and the second sound transfer function.

[0034] Specifically, after obtaining accurate sound power and sound transmission function data of each noise source, this application uses acoustic calculation models such as the principle of sound pressure level superposition and the law of conservation of energy to accurately calculate the noise level of the vehicle's external field focus point, that is, to calculate the far-field noise prediction value of each noise source on the vehicle. This method of comprehensive application of acoustic calculation models can more accurately simulate the propagation and superposition process of sound, thereby reducing the need for field testing, reducing the impact of external factors on test results, reducing model simplification and interference from environmental factors, and improving prediction accuracy.

[0035] According to the vehicle external field noise prediction method of the embodiment of the present invention, the first acoustic transmission function, the second acoustic transmission function and the near-field noise value of each noise source on the vehicle under different operating conditions are directly measured, and then the acoustic power of each noise source on the vehicle is accurately calculated through the acoustic calculation model, and the far-field noise prediction value of each noise source on the vehicle is further obtained. Therefore, the application based on the above-mentioned direct measurement technology and the comprehensive application of the acoustic calculation model can more accurately simulate the propagation and superposition process of sound, avoid the errors caused by model simplification and indirect measurement and the uncertainty of environmental parameter setting, thereby further improving the accuracy of prediction. At the same time, since the acoustic transmission function is a property of the system itself, it is independent of the size and nature of the input quantity, that is, the acoustic transmission function is applicable to different vehicle models, operating conditions and environmental conditions. Therefore, by utilizing the characteristics of the acoustic transmission function, it can flexibly adapt to different vehicle models, operating conditions and environmental conditions, meet diverse needs, have wide applicability, reduce the need for field testing and complex model calculations, reduce costs, improve efficiency, reduce the impact of external factors on test results, and further improve the accuracy of prediction. In addition, accurate prediction of vehicle external field noise helps to formulate more effective noise reduction measures, reduce environmental pollution, and promote sustainable development.

[0036] In some embodiments, obtaining a first acoustic transfer function from each noise source on the vehicle to the near field of the sound source includes: performing a sound source near-field acoustic transfer function test on the noise source of the vehicle to obtain a first acoustic transfer function corresponding to each noise source, wherein the noise source includes at least one or more of a tire, a powertrain, an electric drive assembly, and an exhaust system assembly.

[0037] Among them, the first sound transfer functions from each noise source to the near field of the sound source obtained by the vehicle under different operating conditions are different. The near field sound transfer function tests of the sound source are performed under different operating conditions respectively, and accordingly, the first sound transfer functions of the vehicle under different operating conditions can be obtained.

[0038] In some embodiments, in the near-field acoustic transfer function test of a sound source, multiple near-field response points and multiple excitation points are set at each noise source, and a first acoustic transfer function corresponding to each noise source is obtained, including: for each noise source, obtaining a first sound pressure value at each near-field response point and a first sound source volume acceleration at each excitation point; for each noise source, determining a first initial acoustic transfer function of each near-field response point to different excitation points according to the first sound pressure value and the first sound source volume acceleration; for each noise source, calculating an average value of the first initial acoustic transfer functions of each near-field response point to different excitation points to obtain the first acoustic transfer function corresponding to different near-field response points at each noise source.

[0039] The first initial acoustic transfer function of each near-field response point to different excitation points is the ratio of the first sound pressure value at each near-field response point to the first sound source volume acceleration at each excitation point.

[0040] Specifically, multiple near-field response points and multiple excitation points are set at each noise source, and microphones can be arranged at the near-field response points for sound transmission and detection. Further, a sound pressure sensor can be used to measure the first sound pressure value at each near-field response point, and a microphone can be used to obtain the first sound source volume acceleration at each excitation point.

[0041] Specifically, refer to Figure 2 and Figure 3 As shown in the figure, when the noise source is a tire, microphones are arranged around the tire: on the tire, on the left side of the tire, and on the right side of the tire as near-field response points, and medium-high frequency volume sound sources are placed in front, rear, left, and right of the tire grounding point for excitation as excitation points. Further, the first initial sound transmission function of the three near-field response points corresponding to each tire to the four excitation points is measured, that is, 3*4=12 groups of first initial sound transmission functions can be obtained for each tire, and 4*12=48 groups of first initial sound transmission functions corresponding to four tires.

[0042] And, reference Figure 4 and Figure 5 As shown in the figure, when the noise source is a powertrain or electric drive assembly, microphones are placed at the upper, lower, left, and right positions of the firewall side of the powertrain or electric drive assembly, 10 cm away from the firewall, as near-field response points, and medium- and high-frequency volume sound sources are placed at the center of the six surfaces of the upper, lower, front, rear, left, and right as excitation points. Further measurements are taken to obtain the first initial acoustic transfer functions of the four near-field response points on the firewall side to the six excitation points.

[0043] refer to Figure 6 and Figure 7 As shown in the figure, when the noise source is the exhaust system assembly, if the vehicle is a fuel vehicle, the microphones are respectively arranged on the left and right sides of the exhaust pipe outlet of the exhaust system assembly as near-field response points, and the near-field response points are 50 cm away from the exhaust pipe outlet. The two near-field response points can be arranged asymmetrically on the left and right sides of the exhaust pipe outlet, and the mid-high frequency volume sound source is arranged parallel to the exhaust pipe outlet as the excitation point. The first initial acoustic transfer function of the two near-field response points of the exhaust pipe outlet to this excitation point is further measured.

[0044] Taking the left front wheel of the vehicle as an example, the volume acceleration of the first sound source at the front, rear, left and right excitation points where the tire touches the ground is recorded as , , , The first sound pressure values ​​of the near-field response points on the tire, on the left side of the tire, and on the right side of the tire are respectively recorded as , , Specifically, the first initial acoustic transfer function is calculated by dividing the first sound pressure value by the first sound source volume acceleration, that is, For example, the first initial acoustic transmission function of the near-field response point on the tire to the excitation point on the front side of the tire contact point is Therefore, the acoustic transmission function matrix corresponding to the left front wheel of the vehicle can be obtained as , the average value of the first initial acoustic transfer function of each near-field response point to different excitation points is calculated, that is, the energy of the four groups of first initial acoustic transfer functions in each row is averaged, and the first acoustic transfer function from the three near-field response points to the left front wheel can be obtained as follows: .

[0045] In some embodiments, when determining the sound power of each noise source on the vehicle according to the first sound transfer function and the near-field noise value, the specific formula is: .in, is the sound power, is the near-field noise value, This is the first message.

[0046] Among them, the near-field noise value It can be obtained by direct measurement with a microphone. It is the first acoustic transmission function from each noise source to the near field of the sound source. The sound power calculation formula is:

[0047] Specifically, the first initial sound transmission functions measured at multiple noise sources, including tires, powertrains, electric drive assemblies, and exhaust system assemblies, are averaged to obtain three first sound transmission functions corresponding to each tire, four first sound transmission functions corresponding to the powertrain or electric drive assembly, and two first sound transmission functions corresponding to the exhaust system assembly.

[0048] based on , the different noise sources and Substituting this formula, we can get the ,for .in, is the sound power of the tire, is the sound power of the powertrain or electric drive assembly, is the sound power of the exhaust system assembly.

[0049] The embodiment of the present invention is described by taking the case that the vehicle has five operating conditions as an example. Then, five sound powers can be obtained for each noise source. That is, there are five , 5 , 5 , corresponding to different operating conditions of the vehicle. For example, taking the calculation of the sound power of the tire as an example, the near-field noise values ​​corresponding to the vehicle under one of the operating conditions are: , under this operating condition, the sound power corresponding to the three near-field response points of the tire is Then, the sound power of the tire can be obtained by calculating the average value of the sound power corresponding to the three near-field response points. Similarly, the calculation method of the sound power of each noise source under other operating conditions is the same as the above calculation process, which will not be repeated here.

[0050] In some embodiments, obtaining a second acoustic transfer function from each noise source on the vehicle to a far-field observation point includes: performing a far-field acoustic transfer function test on the noise source of the vehicle to obtain a second acoustic transfer function from each noise source on the vehicle to the far-field observation point, wherein the noise source includes at least one or more of a tire, a powertrain, an electric drive assembly, and an exhaust system assembly.

[0051] Among them, the second sound transmission functions from each noise source to the far-field observation point obtained by the vehicle under different operating conditions are different. Far-field sound transmission function tests are performed under different operating conditions respectively, and accordingly, the second sound transmission functions of the vehicle under different operating conditions can be obtained.

[0052] In some embodiments, in the far-field sound transfer function test, multiple far-field response points are set at each noise source, and the second sound transfer function from each noise source on the vehicle to the far-field observation point is obtained, including: for each noise source, obtaining the second sound pressure value at each far-field response point and the second sound source volume acceleration at the far-field observation point for different far-field response points; for each noise source, determining the second initial sound transfer function of each far-field response point to the far-field observation point according to the second sound pressure value and the second sound source volume acceleration; for each noise source, calculating the average value of the second initial sound transfer function of each far-field response point to the far-field observation point to obtain the second sound transfer function from each noise source to the far-field observation point.

[0053] The second initial acoustic transfer function of each far-field response point to the far-field observation point is the ratio of the second sound pressure value at each far-field response point to the second sound source volume acceleration at the far-field observation point for different far-field response points. The second sound pressure value at each far-field response point can be measured by a sound pressure sensor, and the second sound source volume acceleration at the far-field observation point for different far-field response points can be measured by a microphone.

[0054] Specifically, refer to Figure 8As shown, the volume sound source 3 is placed on the first bracket 4 and rotated to point A, wherein point A is the position for subsequent far-field noise prediction, point B is the position of the excitation point of each noise source of the simulated vehicle, point C is each noise source, point D is the far-field observation point, and the position of the volume sound source 3 is the far-field observation point. The volume sound source 3 is connected to the power amplifier 2 and the signal acquisition generator 1, and the signal acquisition generator 1 is connected to the computer 6. The computer 6 controls the white noise signal to be emitted, and the signal is output through the signal generator 1, and the signal is amplified by the amplifier 2 to drive the volume sound source 3 to sound. At the same time, the built-in volume acceleration sensor in the volume sound source 3 outputs the signal to the signal collector 1 and transmits it to the computer 6. Reference Figure 3 , Figure 5 and Figure 7 , microphones 5 are placed at the positions of the excitation points of each noise source as the response points in the far-field sound transfer function test, and the microphones 5 are fixed by the second bracket 7. The sound pressure signal collected by the microphone is input into the signal collector 1 and transmitted to the computer 6. After analysis, the second initial sound transfer function between the microphone 5 and the volume sound source 3 can be obtained, wherein multiple noise source positions correspond to the far-field observation point D and multiple groups of second initial sound transfer functions can be obtained. Therefore, by adopting the above-mentioned acoustic measurement technology, the second sound transfer function from each noise source to the far-field observation point is accurately measured, including the attenuation, reflection, diffraction and other effects on the sound propagation path, so as to more accurately reflect the propagation characteristics of sound in a complex environment and improve the accuracy of prediction.

[0055] Furthermore, for each noise source, the second initial acoustic transfer function of the far-field observation point is averaged according to each far-field response point, and the second acoustic transfer function from each noise source to the far-field observation point can be obtained as: .

[0056] In some embodiments, when obtaining the far-field noise prediction value of each noise source on the vehicle according to the sound power of each noise source on the vehicle and the second sound transfer function, the specific formula is: .in, is the predicted value of far-field noise, is the sound power, This is the second message.

[0057] Therefore, after obtaining accurate sound source sound power and sound transfer function data, the present invention adopts an acoustic calculation model, i.e., the above-mentioned calculation formula, such as the sound pressure level superposition principle, the law of conservation of energy, etc., to accurately calculate the noise level of the vehicle's external field focus point, thereby being able to more accurately simulate the sound propagation and superposition process, and further improve the prediction accuracy.

[0058] Taking the left front wheel of the vehicle as an example, there are five sound powers corresponding to the five different operating conditions of the vehicle. Substituting these five sound powers and the corresponding second sound transfer function into the formula can obtain the far-field noise prediction values ​​under the corresponding five operating conditions.

[0059] Based on the above, the embodiments of the present invention can also refer to Fig. 9 The vehicle external noise prediction method according to an embodiment of the present invention is described as follows: Fig. 9 As shown, the method includes steps S4 to S7.

[0060] Step S4: testing the near-field acoustic transmission function of the sound source.

[0061] Step S5, obtaining near-field noise values ​​of the vehicle under different operating conditions.

[0062] Step S6: far-field acoustic transmission function test.

[0063] Step S7, obtaining the far-field noise prediction value of each noise source on the vehicle.

[0064] A second aspect of the present invention provides a vehicle external noise prediction device, such as Fig.10 As shown, the vehicle external noise prediction device 100 includes: a first acquisition module 10 , a determination module 20 and a second acquisition module 30 .

[0065] Among them, the first acquisition module 10 is used to obtain the first sound transmission function from each noise source on the vehicle to the near field of the sound source, the near-field noise value of the vehicle under different operating conditions, and the second sound transmission function from each noise source on the vehicle to the far-field observation point; the determination module 20 is used to determine the sound power of each noise source on the vehicle according to the first sound transmission function and the near-field noise value; the second acquisition module 30 is used to obtain the far-field noise prediction value of each noise source on the vehicle according to the sound power of each noise source on the vehicle and the second sound transmission function.

[0066] According to the vehicle external field noise prediction device 100 of the embodiment of the present invention, the second acquisition module 30 thereof can obtain the far-field noise prediction value of each noise source on the vehicle according to the sound power of each noise source on the vehicle determined by the determination module 20 and the second sound transfer function obtained by the first acquisition module 10, and can avoid the uncertainty of model simplification and environmental parameter setting, thereby improving the accuracy and efficiency of prediction, reducing costs, and can flexibly adapt to different vehicle models, working conditions and environmental conditions, and has wide applicability.

[0067] A third aspect of the present invention provides an electronic device, comprising: at least one processor; a memory connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and when the at least one processor executes the computer program, the vehicle external field noise prediction method in the above embodiment is implemented.

[0068] The electronic device according to the embodiment of the present invention includes a processor which can implement the vehicle external field noise prediction method in the above embodiment when executing a computer program. The method can obtain the far-field noise prediction value of each noise source on the vehicle, avoid the uncertainty of model simplification and environmental parameter setting, thereby improving the accuracy and efficiency of the prediction and reducing the cost. The method has higher applicability and flexibility.

[0069] A fourth aspect of the present invention provides a computer storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the vehicle external field noise prediction method in the above-mentioned embodiment is implemented.

[0070] According to the computer storage medium of the embodiment of the present invention, the computer program thereon can implement the vehicle external field noise prediction method in the above-mentioned embodiment when being executed by the processor. The method can obtain the far-field noise prediction value of each noise source on the vehicle, and can avoid the uncertainty of model simplification and environmental parameter setting, thereby improving the accuracy and efficiency of the prediction and reducing the cost. The method has higher applicability and flexibility.

[0071] In the description of the present invention, "plurality" means two or more.

[0072] Other structures and operations of the vehicle exterior noise prediction device 100 according to the embodiment of the present invention are known to those skilled in the art and will not be described in detail here.

[0073] In the description of this specification, any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code including one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present invention belong.

[0074] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or otherwise processing in a suitable manner if necessary, and then stored in a computer memory.

[0075] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0076] A person skilled in the art may understand that all or part of the steps in the above-mentioned embodiment method may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0077] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0078] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present invention. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

[0079] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example.

[0080] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the claims and their equivalents.

Claims

1. A method for predicting vehicle external noise, characterized in that: include: Obtaining a first acoustic transfer function from each noise source on the vehicle to the near field of the sound source, a near field noise value of the vehicle under different operating conditions, and a second acoustic transfer function from each noise source on the vehicle to a far field observation point; Determining the sound power of each noise source on the vehicle according to the first sound transfer function and the near-field noise value; The far-field noise prediction value of each noise source on the vehicle is obtained according to the sound power of each noise source on the vehicle and the second sound transfer function.

2. The vehicle external noise prediction method according to claim 1, characterized in that: Obtain the first acoustic transfer function from each noise source on the vehicle to the near field of the sound source, including: A near-field sound transfer function test is performed on the noise sources of the vehicle to obtain a first sound transfer function corresponding to each noise source, wherein the noise source includes at least one or more of a tire, a powertrain, an electric drive assembly, and an exhaust system assembly.

3. The vehicle external noise prediction method according to claim 2, characterized in that: In the sound source near-field acoustic transfer function test, a plurality of near-field response points and a plurality of excitation points are set at each noise source, and the step of obtaining the first acoustic transfer function corresponding to each noise source includes: For each noise source, obtaining a first sound pressure value at each near-field response point and a first sound source volume acceleration at each excitation point; For each noise source, determining a first initial acoustic transfer function of each near-field response point to different excitation points according to the first sound pressure value and the first sound source volume acceleration; For each noise source, an average value of the first initial acoustic transfer functions at different excitation points is calculated according to each near-field response point to obtain the first acoustic transfer functions corresponding to different near-field response points at each noise source.

4. The vehicle external noise prediction method according to claim 3, characterized in that: When the sound power of each noise source on the vehicle is determined according to the first sound transfer function and the near-field noise value, the specific formula is: ； in, is the sound power, is the near-field noise value, This is the first sound transmission letter.

5. The vehicle external noise prediction method according to any one of claims 1 to 4, characterized in that: Obtain the second acoustic transmission function from each noise source on the vehicle to the far-field observation point, including: A far-field acoustic transfer function test is performed on the noise source of the vehicle to obtain a second acoustic transfer function from each noise source on the vehicle to a far-field observation point, wherein the noise source includes at least one or more of a tire, a powertrain, an electric drive assembly, and an exhaust system assembly.

6. The vehicle external noise prediction method according to claim 5, characterized in that: In the far-field acoustic transfer function test, multiple far-field response points are set at each noise source to obtain a second acoustic transfer function from each noise source on the vehicle to the far-field observation point, including: For each noise source, obtaining a second sound pressure value at each far-field response point and a second sound source volume acceleration at a far-field observation point for different far-field response points; For each noise source, determining a second initial acoustic transfer function of each far-field response point to the far-field observation point according to the second sound pressure value and the second sound source volume acceleration; For each noise source, an average value of the second initial acoustic transfer function of the far-field observation point is calculated according to each far-field response point to obtain a second acoustic transfer function from each noise source to the far-field observation point.

7. The vehicle external noise prediction method according to claim 1, characterized in that: When the far-field noise prediction value of each noise source on the vehicle is obtained according to the sound power of each noise source on the vehicle and the second sound transfer function, the specific formula is: ； in, is the predicted value of the far-field noise, is the sound power, This is the second transmission letter.

8. A vehicle external noise prediction device, characterized in that: include: The first acquisition module is used to obtain a first acoustic transfer function from each noise source on the vehicle to the near field of the sound source, a near-field noise value of the vehicle under different operating conditions, and a second acoustic transfer function from each noise source on the vehicle to a far-field observation point; A determination module, configured to determine the sound power of each noise source on the vehicle according to the first sound transfer function and the near-field noise value; The second acquisition module is used to obtain the far-field noise prediction value of each noise source on the vehicle according to the sound power of each noise source on the vehicle and the second sound transfer function.

9. An electronic device, characterized in that: include: at least one processor; a memory communicatively coupled to at least one of the processors; The memory stores a computer program executable by at least one of the processors, and when at least one of the processors executes the computer program, the method for predicting vehicle external noise according to any one of claims 1 to 7 is implemented.

10. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the vehicle external field noise prediction method according to any one of claims 1 to 7 is implemented.

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