Noise source contribution identification method and device, electronic equipment and storage medium

Abstract

The invention discloses a noise source contribution identification method and device, electronic equipment and a storage medium. The noise source contribution identification 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, a second sound transfer function from each noise source on the vehicle to a far-field observation point, and a far-field noise value from each noise source on the vehicle to the 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; according to the second sound transfer function and the sound power, determining a noise sound pressure level from each noise source on the vehicle to the far-field observation point; and obtaining the noise contribution of each noise source on the vehicle according to the noise sound pressure level and the far-field noise value. By adopting the method, the noise contribution amount of each noise source of the vehicle can be accurately identified, the accuracy of noise contribution amount quantification is effectively improved, the operation is convenient, and a scientific basis is provided for formulating targeted noise reduction measures.

Description

Technical Field

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

[0002] In the relevant technologies, the vehicle noise problem has become an important issue in urban environmental noise management. Although the vehicle noise control methods and noise source contribution identification methods in the prior art can reduce the noise level to a certain extent, they have many limitations. When quantifying the noise contribution of each noise source to the noise of the far-field observation point under different operating conditions of the vehicle, the separate operation method or the wrapping method is often used. The operation is complicated and the accuracy is poor. It is often difficult to accurately distinguish the noise contribution of each noise source, that is, the accuracy of the noise contribution quantification is low, resulting in a lack of targeted noise reduction measures. Summary of the invention

[0003] 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 noise source contribution identification method, which can realize accurate identification of the noise contribution of each noise source of the vehicle, effectively improve the accuracy of noise contribution quantification and facilitate operation, and provide a scientific basis for formulating targeted noise reduction measures.

[0004] A second objective of the present invention is to provide a noise source contribution identification device.

[0005] A third objective of the present invention is to provide an electronic device.

[0006] A fourth objective of the present invention is to provide a computer storage medium.

[0007] In order to solve the above problems, an embodiment of the first aspect of the present invention provides a method for identifying the contribution of noise sources, including: obtaining a first sound transfer function from each noise source on a vehicle to a near field of the sound source, near-field noise values ​​of the vehicle under different operating conditions, a second sound transfer function from each noise source on the vehicle to a far-field observation point, and a far-field noise value 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; determining the noise sound pressure level from each noise source on the vehicle to a far-field observation point according to the second sound transfer function and the sound power; and obtaining the noise contribution of each noise source on the vehicle according to the noise sound pressure level and the far-field noise value.

[0008] According to the noise source contribution identification method of the embodiment of the present invention, based on the comprehensive application of acoustic measurement technology and the principle of conservation of acoustic energy, it is possible to accurately quantify the noise contribution of each noise source of the vehicle to the far-field observation point, and realize accurate identification of the noise contribution of each noise source of the vehicle. This method not only improves the accuracy of noise contribution quantification, but also provides a scientific basis for vehicle noise control and the formulation of targeted noise reduction measures; further, by accurately identifying the noise contribution of each noise source, noise sources with large noise contributions can be processed preferentially, thereby improving noise reduction efficiency; and accurate identification of vehicle noise sources helps to reduce environmental pollution and promote sustainable development.

[0009] In some embodiments, obtaining the noise contribution of each noise source on the vehicle according to the noise sound pressure level and the far-field noise value includes: obtaining a first actual sound pressure value from each noise source to the far-field observation point according to the noise sound pressure level; obtaining a second actual sound pressure value of each noise source according to the far-field noise value; and obtaining the noise contribution of each noise source on the vehicle according to the first actual sound pressure value and the second actual sound pressure value.

[0010] In some embodiments, when the noise contribution of each noise source on the vehicle is obtained according to the first actual sound pressure value and the second actual sound pressure value, the specific formula is: .in, is the noise contribution of the noise source i, is the first actual sound pressure value from the noise source i to the far-field observation point, is the second actual sound pressure value.

[0011] 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.

[0012] 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.

[0013] 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.

[0014] 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.

[0015] 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.

[0016] In some embodiments, when determining the noise sound pressure level from each noise source on the vehicle to the far-field observation point according to the second sound transfer function and the sound power, the specific formula is: .in, is the noise sound pressure level, is the sound power, This is the second transmission letter.

[0017] A second aspect of the present invention provides a noise source contribution identification device, comprising: a first acquisition module, used to obtain a first sound transfer function from each noise source on a vehicle to a near field of the sound source, near-field noise values ​​of the vehicle under different operating conditions, a second sound transfer function from each noise source on the vehicle to a far-field observation point, and a far-field noise value from each noise source on the vehicle to a far-field observation point; a first 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 determination module, used to determine the noise sound pressure level from each noise source on the vehicle to a far-field observation point according to the second sound transfer function and the sound power; and a second acquisition module, used to obtain the noise contribution of each noise source on the vehicle according to the noise sound pressure level and the far-field noise value.

[0018] The noise source contribution identification device according to the embodiment of the present invention can realize accurate identification of the noise contribution of each noise source of the vehicle, effectively improve the accuracy of noise contribution quantification and facilitate operation, and provide a scientific basis for formulating targeted noise reduction measures.

[0019] 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 noise source contribution identification method described in the above embodiment is implemented.

[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 noise source contribution identification method described in the above embodiment.

[0021] 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

[0022] 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 noise source contribution identification method according to an embodiment of the present invention; Figure 2 is a schematic diagram of a far-field noise value testing device according to an embodiment of the present invention; Figure 3 is a schematic diagram of a response point of a tire according to an embodiment of the present invention; Figure 4 is a schematic diagram of excitation points of a tire according to one embodiment of the present invention; Figure 5 is a schematic diagram of a response point of a powertrain or electric drive assembly according to an embodiment of the present invention; Figure 6 is a schematic diagram of an excitation point of a powertrain or electric drive assembly according to an embodiment of the present invention; Figure 7 is a schematic diagram of a response point of an exhaust system assembly according to an embodiment of the present invention; Figure 8 is a schematic diagram of an excitation point of an exhaust system assembly according to an embodiment of the present invention; Fig. 9 is a schematic diagram of a far-field acoustic transfer function testing device according to an embodiment of the present invention; Fig.10is a flow chart of a noise source contribution identification method according to another embodiment of the present invention; Fig.11 4 is a block diagram of a noise source contribution identification device according to an embodiment of the present invention.

[0023] Reference numerals: Noise source contribution identification device 100; A first acquisition module 10, a first determination module 20, a second determination module 30, and a second acquisition module 40; Signal acquisition generator 1, amplifier 2, volume sound source 3, first bracket 4, microphone 5, computer 6, second bracket 7. DETAILED DESCRIPTION

[0024] 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.

[0025] As the main component of urban environmental noise, vehicle noise has a significant impact on the quality of life of residents and the urban environment. With the acceleration of urbanization and the continuous increase in the number of cars, the problem of vehicle noise has become increasingly prominent and has become the focus of attention from all walks of life.

[0026] Vehicle noise mainly comes from the engine, tires, exhaust system, transmission system and body structure. Among them, engine noise is one of the main sources of vehicle noise, and its characteristic is that it increases with the increase of engine speed; tire noise mainly comes from the friction and vibration between the tire and the road surface, and its size is related to factors such as tire material, road conditions and vehicle speed; exhaust system noise is related to the working state of the engine and the design of the exhaust pipe. In addition, the vibration of the transmission system and the resonance of the body structure will also generate noise.

[0027] In order to solve the problem of vehicle noise, the existing technologies mainly adopt the following methods to control it: passive noise reduction technology, active noise reduction technology and sound source control technology. Among them, passive noise reduction technology is to reduce the propagation and reflection of noise by adding sound insulation materials and sound absorbing materials inside or outside the vehicle, thereby reducing the noise level of the vehicle. Although this method can reduce noise to a certain extent, the noise reduction effect is limited and it will increase the weight and cost of the vehicle; active noise reduction technology uses acoustic sensors and acoustic actuators to actively generate sound waves opposite to the noise to achieve noise cancellation and elimination. This method requires precise noise measurement and control system, and the technical difficulty is relatively high, but the noise reduction effect is significant; sound source control technology is to control the main source of vehicle noise, such as by improving engine design, optimizing tire material and road conditions, improving exhaust system and transmission system design, etc., to reduce the generation of noise from the source. This method requires in-depth research and optimized design, but it can fundamentally solve the noise problem.

[0028] In vehicle noise control, accurately identifying the noise contribution of each noise source is crucial for formulating targeted noise reduction measures. However, the vehicle noise source contribution identification method in the prior art has limitations such as insufficient measurement accuracy, single identification method, and lack of targeting. Specifically, due to the complexity and diversity of vehicle noise, the existing measurement technology is often difficult to accurately obtain the noise level and sound transfer function of each noise source, resulting in errors in the contribution identification results; and the existing identification methods often rely on empirical judgment or statistical models, lack of systematicity and scientificity, and it is difficult to accurately distinguish the contribution of each noise source; in addition, due to the inability to accurately identify the contribution of each noise source, the existing noise reduction measures are often lack of targeting, resulting in low noise reduction efficiency.

[0029] The existing technology mainly uses the separate operation method or the wrapping method to identify the contribution of noise sources, which has the problems of high difficulty in operation, poor identification accuracy, difficulty in accurately quantifying the noise contribution, and low noise reduction efficiency. Specifically, the existing technology needs to use heavy layers of materials (such as lead sheets, etc.) to wrap each major sound source to reduce its noise radiation as much as possible, but the wrapping operation is difficult and there is a risk of secondary injury to the operator; secondly, the wrapping method cannot completely isolate the noise radiation of the noise source to the outside, and the separate operation method cannot achieve true separate operation, and each noise source still actually radiates noise outside the vehicle; in addition, the existing technology often finds it difficult to accurately distinguish the noise contribution of each noise source of the vehicle to the noise of the far-field observation point, resulting in a lack of pertinence in the noise reduction measures; and, due to the inability to accurately identify the noise contribution of each noise source, the noise reduction measures often lack focus, resulting in low noise reduction efficiency.

[0030] In summary, the vehicle noise problem has become an important issue in urban environmental noise management. Although the vehicle noise control methods and noise source contribution identification methods in the existing technology can reduce the noise level to a certain extent, they have many limitations. Therefore, a new noise source contribution identification method for vehicle noise is urgently needed to accurately quantify the noise contribution of each noise source and provide a scientific basis for formulating targeted noise reduction measures.

[0031] In order to solve the above problems, the first embodiment of the present invention provides a method for identifying the contribution of noise sources. This method can realize accurate identification of the noise contribution of each noise source of the vehicle, effectively improve the accuracy of the noise contribution quantification and facilitate operation, and provide a scientific basis for formulating targeted noise reduction measures.

[0032] Reference below Figure 1 The noise source contribution identification method according to an embodiment of the present invention is described as follows: Figure 1 As shown, the method includes steps S1 to S3.

[0033] 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, a second acoustic transfer function from each noise source on the vehicle to a far-field observation point, and a far-field noise value from each noise source on the vehicle to a far-field observation point.

[0034] 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 value and far-field noise value of the vehicle under different operating conditions are different.

[0035] 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. In addition, the near-field noise value of the vehicle under different operating conditions can also be obtained through microphone measurement.

[0036] 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.

[0037] Specifically, by measuring the first acoustic transfer function from each noise source of the vehicle to the near field of the sound source and the near-field noise value of the vehicle under different operating conditions, the sound power of each noise source of the vehicle under different operating conditions is calculated, which is the basis for accurately identifying the noise contribution of each noise source.

[0038] Step S3, determining the noise sound pressure level from each noise source on the vehicle to the far-field observation point according to the second sound transfer function and the sound power.

[0039] Among them, the noise sound pressure level represents the noise level. Measuring the noise level at the far-field observation point when the vehicle passes under different operating conditions of the vehicle provides actual data for quantifying the noise contribution of each noise source.

[0040] Specifically, accurately calculating the noise sound pressure level from each noise source to the far-field observation point by combining the second sound transfer function and sound power is the core link in identifying the noise contribution of each noise source. By considering the noise level of the vehicle under different operating conditions, and measuring and analyzing the data under different operating conditions, the noise contribution of each noise source can be more comprehensively identified, which helps to formulate more targeted noise reduction measures.

[0041] Step S4, obtaining the noise contribution of each noise source on the vehicle according to the noise sound pressure level and the far-field noise value.

[0042] Specifically, based on the principle of conservation of acoustic energy, the noise pressure level of each noise source can be combined to obtain the noise contribution of each noise source on the vehicle. Furthermore, by comparing the noise contribution of each noise source, the noise source with a larger noise contribution can be identified, and the noise source with a larger noise contribution can be preferentially subjected to noise reduction processing, which can effectively improve the noise reduction efficiency, thereby reducing environmental pollution and promoting sustainable development.

[0043] According to the noise source contribution identification method of the embodiment of the present invention, the first acoustic 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, the second acoustic transfer function from each noise source on the vehicle to the far-field observation point, and the far-field noise value from each noise source on the vehicle to the far-field observation point are measured and obtained by using advanced acoustic measurement technology. Furthermore, the sound power of each noise source on the vehicle is determined according to the first acoustic transfer function and the near-field noise value, and the noise sound pressure level from each noise source on the vehicle to the far-field observation point is determined according to the second acoustic transfer function and the sound power. Then, based on the principle of conservation of acoustic energy and combining the noise sound pressure level and the far-field noise value, the noise contribution of each noise source on the vehicle is obtained. Based on the comprehensive application of acoustic measurement technology and the principle of conservation of acoustic energy, the noise contribution of each noise source of the vehicle to the far-field observation point can be accurately quantified, and the noise contribution of each noise source of the vehicle can be accurately identified. This method not only improves the accuracy of noise contribution quantification, but also provides a scientific basis for vehicle noise control and the formulation of targeted noise reduction measures; further, by accurately identifying the noise contribution of each noise source, noise sources with large noise contributions can be processed first, thereby improving noise reduction efficiency; and accurate identification of vehicle noise sources helps reduce environmental pollution and promote sustainable development.

[0044] In some embodiments, the noise contribution of each noise source on the vehicle is obtained according to the noise sound pressure level and the far-field noise value, including: obtaining a first actual sound pressure value from each noise source to a far-field observation point according to the noise sound pressure level; obtaining a second actual sound pressure value of each noise source according to the far-field noise value; and obtaining the noise contribution of each noise source on the vehicle according to the first actual sound pressure value and the second actual sound pressure value.

[0045] Specifically, the layout of the far-field noise value test device is referenced Figure 2 As shown, the microphone 5 is arranged at the far-field observation position point A, and the vehicle passes through point B, and the far-field noise value of the vehicle can be tested, and the measured results are transmitted to the computer 6 by the signal collector 1 for recording.

[0046] In some embodiments, when the noise contribution of each noise source on the vehicle is obtained according to the first actual sound pressure value and the second actual sound pressure value, the specific formula is: .in, is the noise contribution of noise source i, is the first actual sound pressure value from noise source i to the far-field observation point, is the second actual sound pressure value.

[0047] Specifically, the noise contribution calculation formula is derived from the principle of conservation of acoustic energy, where: Noise sound pressure level from each noise source to the far-field observation point The conversion results in It is converted from the far-field noise value. The specific conversion formula can be referred to as .

[0048] 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.

[0049] 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.

[0050] 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.

[0051] 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.

[0052] 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.

[0053] Specifically, refer to Figure 3 and Figure 4 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.

[0054] And, reference Figure 5 and Figure 6 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.

[0055] refer to Figure 7 and Figure 8 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.

[0056] 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: .

[0057] 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.

[0058] Among them, the near-field noise value It can be directly measured and obtained by a microphone. Specifically, the first initial acoustic transmission functions measured at multiple noise sources, including tires, powertrains, electric drive assemblies, and exhaust system assemblies, are averaged, so that three first acoustic transmission functions can be obtained for each tire, four first acoustic transmission functions can be obtained for the powertrain or electric drive assembly, and two first acoustic transmission functions can be obtained for the exhaust system assembly.

[0059] 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.

[0060] 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.

[0061] 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.

[0062] 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.

[0063] 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.

[0064] 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.

[0065] Specifically, refer to Fig. 9 As 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 sound source to the far-field observation point is accurately measured, so that the propagation characteristics of sound in a complex environment can be more accurately reflected, thereby improving the accuracy of the quantification of the noise contribution.

[0066] 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: .

[0067] In some embodiments, when determining the noise sound pressure level from each noise source on the vehicle to the far-field observation point according to the second sound transfer function and the sound power, the specific formula is: .in, is the noise sound pressure level, is the sound power, This is the second message.

[0068] For example, 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 noise sound pressure levels under the corresponding five operating conditions.

[0069] Based on the above, the embodiments of the present invention can also refer to Fig.10 The noise source contribution identification method according to an embodiment of the present invention is described as follows: Fig.10 As shown, the method includes steps S5 to S9.

[0070] Step S5, obtaining a first acoustic transfer function from each noise source on the vehicle to the near field of the sound source, and near field noise values ​​of the vehicle under different operating conditions.

[0071] Step S6, determining the sound power of each noise source on the vehicle.

[0072] Step S7, obtaining a second acoustic transmission function from each noise source on the vehicle to a far-field observation point.

[0073] Step S8, obtaining the far-field noise value from each noise source on the vehicle to the far-field observation point.

[0074] Step S9: identifying noise contribution.

[0075] A second aspect of the present invention provides a noise source contribution identification device, such as Fig.11 As shown, the noise source contribution identification device 100 includes a first acquisition module 10 , a first determination module 20 , a second determination module 30 and a second acquisition module 40 .

[0076] Among them, the first acquisition module 10 is used to obtain the 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, the second sound transfer function from each noise source on the vehicle to the far-field observation point, and the far-field noise value from each noise source on the vehicle to the far-field observation point; the first determination module 20 is 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; the second determination module 30 is used to determine the noise sound pressure level from each noise source on the vehicle to the far-field observation point according to the second sound transfer function and the sound power; the second acquisition module 40 is used to obtain the noise contribution of each noise source on the vehicle according to the noise sound pressure level and the far-field noise value.

[0077] The noise source contribution identification device 100 according to the embodiment of the present invention can realize accurate identification of the noise contribution of each noise source of the vehicle, effectively improve the accuracy of noise contribution quantification and facilitate operation, and provide a scientific basis for formulating targeted noise reduction measures.

[0078] A third aspect of the present invention provides an electronic device, comprising: at least one processor; a memory communicatively 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 noise source contribution identification method of the above embodiment is implemented.

[0079] A fourth aspect of the present invention provides a computer storage medium having a computer program stored thereon, which implements the noise source contribution identification method of the above embodiment when the computer program is executed by a processor.

[0080] In the description of the present invention, "plurality" means two or more.

[0081] Other structures and operations of the noise source contribution identification 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.

[0082] 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.

[0083] 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.

[0084] 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.

[0085] 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.

[0086] 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.

[0087] 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.

[0088] 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.

[0089] 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 noise source contribution identification method, 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, near-field noise values ​​of the vehicle under different operating conditions, a second acoustic transfer function from each noise source on the vehicle to a far-field observation point, and a far-field noise value 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; Determine the noise sound pressure level from each noise source on the vehicle to a far-field observation point according to the second sound transfer function and the sound power; The noise contribution of each noise source on the vehicle is obtained according to the noise sound pressure level and the far-field noise value.

2. The noise source contribution identification method according to claim 1, characterized in that: Obtaining the noise contribution of each noise source on the vehicle according to the noise sound pressure level and the far-field noise value, including: Obtaining a first actual sound pressure value from each noise source to the far-field observation point according to the noise sound pressure level; Obtaining a second actual sound pressure value of each noise source according to the far-field noise value; The noise contribution of each noise source on the vehicle is obtained according to the first actual sound pressure value and the second actual sound pressure value.

3. The noise source contribution identification method according to claim 2, characterized in that: When the noise contribution of each noise source on the vehicle is obtained according to the first actual sound pressure value and the second actual sound pressure value, the specific formula is: ； in, is the noise contribution of the noise source i, is the first actual sound pressure value from the noise source i to the far-field observation point, is the second actual sound pressure value.

4. The noise source contribution identification method according to any one of claims 1 to 3, 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.

5. The noise source contribution identification method according to claim 4, 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.

6. The noise source contribution identification method according to claim 5, 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.

7. The noise source contribution identification method according to any one of claims 1 to 3, 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.

8. The noise source contribution identification method according to claim 7, 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.

9. The noise source contribution identification method according to claim 8, characterized in that: When determining the noise sound pressure level from each noise source on the vehicle to the far-field observation point according to the second sound transfer function and the sound power, the specific formula is: ； in, is the noise sound pressure level, is the sound power, This is the second transmission letter.

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

11. 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 identifying the contribution of a noise source according to any one of claims 1 to 9 is implemented.

12. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the noise source contribution identification method according to any one of claims 1 to 9 is implemented.

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