Automobile abnormal sound evaluation optimization method and system, storage medium and electronic equipment

Abstract

The invention provides an automobile abnormal sound evaluation optimization method and system, a storage medium and electronic equipment. The method comprises the following steps: acquiring exciting force data of a target mid-subwoofer; a vehicle body finite element model of the target vehicle body is established, and the geometric center point of the installation position of the target mid-subwoofer on the vehicle body finite element model is determined; inputting exciting force data at the geometric center point and acquiring vibration sensitivity data at a target vibration response point on the vehicle body finite element model; determining a to-be-mounted part corresponding to each target vibration response point and acquiring noise sensitivity data of each to-be-mounted part; and overlapping and fitting the exciting force data, the vibration sensitivity data and the noise sensitivity data to determine target abnormal sound data, and optimizing the vehicle body or the to-be-mounted part according to the target abnormal sound data and a preset abnormal sound threshold value. The problem that in the prior art, due to the fact that a method for evaluating the abnormal sound caused by the woofer does not exist, structure improvement cannot be conducted in a targeted mode, and the improvement cost is high is solved.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a method, system, storage medium and electronic equipment for optimizing automobile abnormal noise evaluation. Background Art

[0002] It is the abbreviation of Noise, Vibration and Harshness, which is a comprehensive issue to measure the quality of automobile manufacturing. The NVH problem of vehicles is one of the issues that all major vehicle manufacturers and parts manufacturers in the international automotive industry are concerned about. Statistics show that about 1 / 3 of the failure problems of vehicles are related to the NVH problems of vehicles, and nearly 20% of the research and development expenses of major companies are spent on solving the NVH problems of vehicles.

[0003] New energy vehicles, with their lack of engine noise, offer exceptionally quiet interiors. However, when the woofers operate, they can easily cause unusual noises and vibrations. This makes it difficult to anticipate these risks early on, leading to long and costly corrections. Existing technologies typically test the overall NVH status of the vehicle, lacking methods to specifically assess the noise caused by the woofers. This leads to inappropriate structural improvements, resulting in high costs. Summary of the Invention

[0004] Based on this, the purpose of the present invention is to provide a method, system, storage medium and electronic device for optimizing automobile abnormal noise evaluation, aiming to solve the problem in the prior art that there is a lack of a method for evaluating abnormal noise caused by a woofer, resulting in the inability to make targeted structural improvements and the high cost of improvement.

[0005] According to an embodiment of the present invention, a method for optimizing automobile abnormal noise evaluation includes:

[0006] Testing a target mid-bass cannon to obtain excitation force data of the target mid-bass cannon;

[0007] Establishing a finite element model of a target vehicle body and determining a geometric center point of an installation position of the target subwoofer on the finite element model of the vehicle body;

[0008] Inputting the excitation force data at the geometric center point and acquiring vibration sensitivity data at a target vibration response point on the vehicle body finite element model;

[0009] Determining the components to be installed corresponding to each target vibration response point, and obtaining noise sensitivity data of each component to be installed;

[0010] Performing superposition fitting on the excitation force data, the vibration sensitivity data, and the noise sensitivity data to determine target abnormal sound data, and determining whether the target abnormal sound data is greater than a preset abnormal sound threshold;

[0011] If yes, the vehicle body or the component to be installed is structurally optimized according to the target abnormal noise data.

[0012] In addition, the vehicle abnormal noise evaluation and optimization method according to the above embodiment of the present invention may also have the following additional technical features:

[0013] Furthermore, after the step of determining whether the initial value of the cumulative counter corresponding to the idle task is a preset value, the following steps are included:

[0014] If the initial value of the cumulative counter is not a preset value, obtaining whether the value of the timer corresponding to the cumulative counter is less than a preset time value;

[0015] If not, obtain the running data corresponding to the cumulative counter, determine the real-time CPU occupancy data of the current system according to the running data, and determine the target CPU occupancy data corresponding to the target task according to the real-time CPU occupancy data and the initial CPU occupancy data.

[0016] Furthermore, the step of testing the target mid-woofer and obtaining the excitation force data of the target mid-woofer includes:

[0017] Placing the target mid-woofer on a bracket of a test bench, placing a force sensor between the target mid-woofer and the bracket, and providing a partition outside the target mid-woofer;

[0018] Inputting a preset sound source to the subwoofer in the target, adjusting the operating voltage of the first subwoofer in the target in sequence, and determining the data collected by the force sensor under different operating voltages to determine multiple test excitations;

[0019] The excitation force data of the subwoofer in the target is determined according to a plurality of the test excitation forces.

[0020] Furthermore, after the step of determining the geometric center point of the installation position of the target subwoofer on the vehicle body finite element model, the method further includes:

[0021] The number of the geometric center points is determined, and the excitation force data is divided according to the number of the geometric center points, so that the excitation force data at each geometric center point is consistent.

[0022] Furthermore, the step of obtaining vibration sensitivity data at a target vibration response point on the vehicle body finite element model includes:

[0023] Determining whether there is abnormal data in the vibration sensitivity data;

[0024] If so, input a preset vibration isolation performance correction coefficient, and return to the step of inputting the excitation force data at the geometric center point to redetermine the vibration sensitivity data.

[0025] Furthermore, the step of obtaining noise sensitivity data of each component to be installed includes:

[0026] Placing the component to be mounted on an electromagnetic exciter so that the electromagnetic exciter is rigidly connected to the component to be mounted via a fixing fixture;

[0027] Two acceleration sensors are respectively provided at both ends of the electromagnetic exciter and a suspended microphone is provided at a preset distance from the component to be installed, and both the acceleration sensor and the microphone are communicatively connected to a data collector;

[0028] The excitation force data is input and the corresponding noise sensitivity data is acquired through the data collector.

[0029] Furthermore, after the step of inputting the excitation force data and acquiring the corresponding noise sensitivity data through the data collector, the method further includes:

[0030] Determining whether there is abnormal data in the noise sensitivity data;

[0031] If so, a preset sound attenuation correction coefficient is input, and the process returns to the step of inputting the excitation force data to redetermine the noise sensitivity data.

[0032] Furthermore, after the step of optimizing the structure of the vehicle body or the component to be installed according to the target abnormal sound data, the step further includes:

[0033] Determining whether the target abnormal sound data collected after structural optimization are all smaller than the preset abnormal sound threshold;

[0034] If yes, decomposing the target abnormal noise data to determine a bracket sensitivity target curve and a component noise sensitivity target curve;

[0035] The vibration sensitivity target curve and the component noise sensitivity target curve are uploaded to a historical database, so that in subsequent vehicle abnormal noise evaluation, the vehicle body and the component to be installed are evaluated separately according to the bracket sensitivity target curve and the component noise sensitivity target curve.

[0036] Another object of the present invention is to provide a vehicle abnormal noise evaluation and optimization system, the system comprising:

[0037] an excitation force data determination module, configured to test a target mid-bass cannon and obtain excitation force data of the target mid-bass cannon;

[0038] A model determination module, configured to establish a finite element model of a target vehicle body and determine a geometric center point of an installation position of the target subwoofer on the finite element model of the vehicle body;

[0039] a vibration sensitivity data determination module, configured to input the excitation force data at the geometric center point and obtain vibration sensitivity data at a target vibration response point on the vehicle body finite element model;

[0040] a noise sensitivity data determination module, configured to determine the components to be installed corresponding to each target vibration response point, and obtain noise sensitivity data of each component to be installed;

[0041] a judgment module, configured to perform superposition fitting on the excitation force data, the vibration sensitivity data, and the noise sensitivity data to determine target abnormal sound data, and to judge whether the target abnormal sound data is greater than a preset abnormal sound threshold;

[0042] The optimization module is configured to, when the target abnormal sound data exceeds a preset abnormal sound threshold, perform structural optimization on the vehicle body or the component to be installed based on the target abnormal sound data. Another object of an embodiment of the present invention is to provide a storage medium storing a computer program that, when executed by a processor, implements the steps of the aforementioned vehicle abnormal sound evaluation and optimization method.

[0043] Another object of an embodiment of the present invention is to provide an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the above-mentioned method for optimizing the evaluation of abnormal vehicle noise are implemented.

[0044] The present invention tests a target mid-bass woofer to determine its performance parameters during operation. Finite element simulation is then performed on the vehicle body using simulation data, with the mid-bass woofer's performance parameters input for simulation. The simulation then determines the vibration conditions of the vehicle body under the action of the target mid-bass woofer under real-world conditions. Because the abnormal noise generated by the mid-bass woofer on the vehicle body is typically caused by the combined effects of components on the vehicle body and the vehicle body, the vibration conditions of the vehicle body at the location where the components are mounted are determined. Each component is then tested separately to determine its noise conditions under the action of the mid-bass woofer. The mid-bass woofer's excitation force data, the vibration sensitivity data at each component's mounting location, and the corresponding noise sensitivity data of each component are then superimposed to determine the abnormal noise conditions at each vehicle body location, i.e., target abnormal noise data. The target abnormal noise data is then compared with a preset abnormal noise threshold to determine whether the abnormal noise conditions at each location meet requirements. If not, structural adjustments are made to the vehicle body and corresponding components where the conditions do not meet requirements. This allows for the evaluation and optimization of vehicle abnormal noise. This targeted assessment and optimization significantly reduces improvement costs and enhances targeting, eliminating the need for overall vehicle body analysis and significantly improving assessment and optimization efficiency. Therefore, the present invention addresses the prior art issue of a lack of a method for evaluating abnormal noise caused by woofers, which prevents targeted structural improvements and results in high improvement costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 This is a flow chart of the automobile abnormal noise evaluation optimization method in the first embodiment of the present invention;

[0046] Figure 2 Schematic diagram of the results of the automobile abnormal noise evaluation optimization system in the second embodiment of the present invention;

[0047] Figure 3 is a schematic structural diagram of an electronic device in a third embodiment of the present invention;

[0048] The following specific embodiments will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0049] To facilitate understanding of the present invention, the present invention will be described more fully below with reference to the accompanying drawings. The drawings illustrate several embodiments of the present invention. However, the present invention may be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided to provide a more thorough and comprehensive understanding of the present invention.

[0050] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly attached to the other element or there may be an intermediate element. When an element is referred to as being "connected to" another element, it may be directly connected to the other element or there may be an intermediate element. The terms "vertical," "horizontal," "left," "right," and similar expressions used herein are for illustrative purposes only.

[0051] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this invention pertains. The terms used in this specification of the present invention are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0052] Example 1

[0053] See also Figure 1 , which shows a method for optimizing automobile abnormal noise evaluation in a first embodiment of the present invention, and the method specifically includes steps S01 to S06.

[0054] S01, testing a target mid-bass speaker to obtain excitation force data of the target mid-bass speaker;

[0055] Specifically, the steps of testing a target mid-woofer and obtaining excitation force data for the target mid-woofer include: placing the target mid-woofer on a bracket of a test bench, placing a force sensor between the target mid-woofer and the bracket, and providing a partition outside the target mid-woofer; inputting a preset sound source into the target mid-woofer, sequentially adjusting the operating voltage of the first mid-woofer, and determining data collected by the force sensor under different operating voltages to determine multiple test excitations; and determining the excitation force data for the target mid-woofer based on the multiple test excitation forces. Specifically, accurate excitation force data is ultimately determined by screening and fitting multiple sets of test data.

[0056] In specific implementation, the test stand consists of four equal-length brackets and a base. During testing, the base is fixed to the test base plate with cement or other fixing glue. Mounting holes are reserved on the brackets, and the mounting hole diameter is consistent with the force sensor mounting bolts. First, install the force sensor on the bracket, and then install the target mid-subwoofer on the bracket, where the force sensor is installed between the bracket and the target mid-subwoofer. When installing the target mid-subwoofer, it is necessary to confirm that the installation torque is consistent with the design state. After the installation is completed, the target mid-subwoofer is in a horizontal state without tilting. In order to simulate the state of the audio system being installed on the vehicle body, a partition must be covered around the target mid-subwoofer as follows. Among them, the partition is recommended to be made of composite wood, the upper surface of the partition is flush with the target mid-subwoofer, the partition has no contact with the surrounding area of ​​the target mid-subwoofer, and the diameter of the wooden partition is more than 3 times the outer diameter of the target mid-subwoofer speaker. The speaker body is then mounted on a fixed floor using fixtures and connected to a data acquisition system via an amplifier to receive input signals. A force sensor is connected to the data acquisition system to measure the vertical force at the speaker mounting point. A microphone is placed 10mm above the speaker to monitor the quality of the sound source, and a laser pickup is placed directly above the speaker to monitor the vibration of the speaker diaphragm. The sound source is then input: a 20-120Hz frequency sweep is set at a rate of 1Hz / s (20Hz / s can be set at the maximum operating voltage Vmax to prevent the speaker from operating for too long). The sensor and microphone are then set up. The speaker is then warmed up by playing three frequency sweeps within the speaker's operating voltage range. A 20-120Hz frequency sweep signal is played at four operating voltages: 0.25Vmax, 0.5Vmax, 0.75Vmax, and 1Vmax. The autopower spectrum of the played sound, the coherence spectrum and frequency response spectrum of the played sound relative to the input sound source, and the frequency spectrum of the force sensor are recorded. Finally, examine the coherence spectrum between the microphone sound and the speaker input signal in each data set. If the coherence within the 20-100 Hz frequency band is above 0.95, then record that set as valid data. Export and record the force sensor spectrum within the 20-100 Hz frequency band for the valid data set, which is considered valid.

[0057] S02, establishing a finite element model of a target vehicle body and determining the geometric center point of the installation position of the target subwoofer on the finite element model of the vehicle body;

[0058] Specifically, after the step of determining the geometric center point of the installation position of the target subwoofer on the vehicle body finite element model, the method includes:

[0059] The number of the geometric center points is determined, and the excitation force data is divided according to the number of the geometric center points, so that the excitation force data at each geometric center point is consistent.

[0060] During implementation, a finite element mode of the interior and vehicle body is established, with the vehicle body constraint boundary in a free state. The excitation force is applied to the geometric center of the speaker installation. For a single speaker, an excitation force of X is applied, and the vibration response point is the installation point of each component (seat belt, interior panel, wiring harness, etc.); for dual speakers, an excitation force of 0.5X is applied to each, and the vibration response point is the installation point of each component (seat belt, interior panel, wiring harness, etc.).

[0061] S03, inputting the excitation force data at the geometric center point, and acquiring vibration sensitivity data at a target vibration response point on the vehicle body finite element model;

[0062] Specifically, the step of obtaining vibration sensitivity data at a target vibration response point on the vehicle body finite element model includes:

[0063] Determining whether there is abnormal data in the vibration sensitivity data;

[0064] If so, a preset vibration isolation performance correction coefficient is input, and the process returns to the step of inputting the excitation force data at the geometric center point to redetermine the vibration sensitivity data. Data errors or deviations are inevitable during simulations, so the data obtained from the initial simulation needs to be screened and evaluated. Based on any anomalies in the data, an appropriate vibration isolation performance correction coefficient is input to correct the data and obtain more accurate vibration sensitivity data. In specific implementations, specific vibration isolation performance correction coefficients are input based on database experience or actual testing.

[0065] S04: Determine the components to be installed corresponding to each target vibration response point, and obtain noise sensitivity data of each component to be installed.

[0066] Specifically, the step of obtaining the noise sensitivity data of each component to be installed includes:

[0067] The component to be installed is placed on an electromagnetic exciter, so that the electromagnetic exciter is rigidly connected to the component to be installed through a fixing clamp; two acceleration sensors are respectively set at both ends of the electromagnetic exciter and a suspended microphone is set at a preset distance from the component to be installed, and both the acceleration sensor and the microphone are communicatively connected to a data collector; the excitation force data is input and the corresponding noise sensitivity data is obtained through the data collector.

[0068] During specific implementation, the electromagnetic exciter moves in a resonant manner to generate electromagnetic induction force, thereby driving the test piece to vibrate. The electromagnetic exciter is rigidly connected to the test piece through a fixed fixture. There are two acceleration sensors at both ends of the electromagnetic exciter, one at the exciter end and the other at the test piece end. A microphone is arranged 30-50 cm away from the test piece. The microphone is fixed to the ground through a tripod. The acceleration sensor and the microphone are connected to the data collector through a DNC cable. The data collector and the computer realize real-time interaction of vibration signal and noise signal data.

[0069] In addition, after the step of inputting the excitation force data and acquiring the corresponding noise sensitivity data through the data collector, the following steps are included:

[0070] Determining whether there is abnormal data in the noise sensitivity data;

[0071] If so, a preset acoustic attenuation correction factor is entered, and the process returns to the step of entering the excitation force data to redetermine the noise sensitivity data. Similarly, during testing, data errors or deviations are inevitable. Therefore, the data obtained from the initial test must be screened and evaluated. Based on any anomalies in the data, an appropriate acoustic attenuation correction factor is entered to correct the data and obtain more accurate noise sensitivity data. In practice, specific acoustic attenuation correction factors are entered based on database experience or actual testing.

[0072] S05 , performing superposition fitting on the excitation force data, the vibration sensitivity data, and the noise sensitivity data to determine target abnormal sound data, and determining whether the target abnormal sound data is greater than a preset abnormal sound threshold.

[0073] S06: If yes, perform structural optimization on the vehicle body or the component to be installed according to the target abnormal sound data.

[0074] Specifically, according to the theoretical idea of ​​source-path-response:

[0075] Response (noise P) = excitation source (excitation force F) x path sensitivity (P / F);

[0076] Transform and decompose the formula into parameters that are convenient for testing and analysis. The formula is as follows

[0077] Response (noise P) = excitation source (excitation force F) × bracket vibration sensitivity (A / F) × component noise sensitivity (P / A).

[0078] In addition, after the step of optimizing the structure of the vehicle body or the component to be installed according to the target abnormal sound data, the method further includes:

[0079] Determining whether the target abnormal sound data collected after structural optimization are all smaller than the preset abnormal sound threshold;

[0080] If yes, decomposing the target abnormal noise data to determine a bracket sensitivity target curve and a component noise sensitivity target curve;

[0081] The vibration sensitivity target curve and the component noise sensitivity target curve are uploaded to a historical database, so that in subsequent vehicle abnormal noise evaluation, the vehicle body and the component to be installed are evaluated separately according to the bracket sensitivity target curve and the component noise sensitivity target curve.

[0082] By separately simulating and testing data on excitation force, vibration sensitivity, and component noise sensitivity, the target data is then acquired through multi-path acquisition and superposition. This not only reduces the difficulty of data acquisition and improves data accuracy through multi-path acquisition, but also allows for the acquisition of corresponding branch data through different paths. Multi-path acquisition, superposition, and data correction further improve the accuracy of the target abnormal noise data. Furthermore, as data is collected from each path, it can be analyzed separately to determine whether it meets the requirements in the current dimension. This allows the data collected from each path to determine whether the vehicle body bracket itself or the component to be installed meets the requirements, thereby improving vibration performance.

[0083] In summary, the vehicle abnormal noise evaluation and optimization method in the above-mentioned embodiment of the present invention determines the performance parameters of the target mid-woofer during operation by testing a target mid-woofer. Then, through simulation, a finite element simulation is performed on the vehicle body, and the performance parameters of the mid-woofer are input for simulation. The simulation then determines the vibration conditions of the vehicle body under the operation of the target mid-woofer under real conditions. Since the abnormal noise generated by the mid-woofer on the vehicle body is generally caused by the combined effects of the components on the vehicle body and the vehicle body, it is sufficient to determine the vibration conditions of the vehicle body at the location where the component is installed. Then, each component is tested separately to determine the noise conditions of each component under the action of the mid-woofer. The excitation force data of the mid-woofer, the vibration sensitivity data at the location where each component is installed, and the corresponding noise sensitivity data of each component are superimposed to determine the abnormal noise conditions at each vehicle body location, i.e., target abnormal noise data. The target abnormal noise data is then compared with a preset abnormal noise threshold to determine whether the abnormal noise conditions at each location meet the requirements. If not, the structure of the vehicle body and the corresponding components that do not meet the requirements are adjusted. This achieves the evaluation and optimization of vehicle abnormal noise. This targeted assessment and optimization significantly reduces improvement costs and enhances targeting, eliminating the need for overall vehicle body analysis and significantly improving assessment and optimization efficiency. Therefore, the present invention addresses the prior art issue of a lack of a method for evaluating abnormal noise caused by woofers, which prevents targeted structural improvements and results in high improvement costs.

[0084] Example 2

[0085] See also Figure 2 , which is a block diagram of the structure of the automobile abnormal noise evaluation and optimization system proposed in the second embodiment of the present invention, includes: an excitation force data determination module 21, a model determination module 22, a vibration sensitivity data determination module 23, a noise sensitivity data determination module 24, a determination module 25, and an optimization module 26, wherein:

[0086] The excitation force data determination module 21 is used to test the target mid-woofer and obtain the excitation force data of the target mid-woofer;

[0087] A model determination module 22 is configured to establish a finite element model of a target vehicle body and determine a geometric center point of an installation position of the target subwoofer on the finite element model of the vehicle body;

[0088] a vibration sensitivity data determination module 23 for inputting the excitation force data at the geometric center point and acquiring vibration sensitivity data at a target vibration response point on the vehicle body finite element model;

[0089] A noise sensitivity data determination module 24 is configured to determine the components to be installed corresponding to each target vibration response point and obtain noise sensitivity data of each component to be installed;

[0090] a judgment module 25 for performing superposition fitting on the excitation force data, the vibration sensitivity data, and the noise sensitivity data to determine target abnormal sound data, and to determine whether the target abnormal sound data is greater than a preset abnormal sound threshold;

[0091] The optimization module 26 is configured to perform structural optimization on the vehicle body or the component to be installed according to the target abnormal sound data when the target abnormal sound data is greater than a preset abnormal sound threshold.

[0092] The functions or operation steps implemented when the above modules are executed are substantially the same as those in the above method embodiments and will not be described in detail here.

[0093] Example 3

[0094] Another aspect of the present invention provides an electronic device, see Figure 3 , shown is a schematic diagram of an electronic device in a third embodiment of the present invention, including a memory 20, a processor 10, and a computer program 30 stored in the memory and executable on the processor. When the processor 10 executes the computer program 30, the above-mentioned vehicle abnormal noise evaluation optimization method is implemented.

[0095] In some embodiments, the processor 10 can be a central processing unit (CPU), a controller, a microcontroller, a microprocessor or other data processing chip, used to run the program code stored in the memory 20 or process data, such as executing access restriction programs.

[0096] Among them, the memory 20 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a hard disk, a multimedia card, a card-type memory (for example, an SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 20 can be an internal storage unit of an electronic device, such as a hard disk of the electronic device. In other embodiments, the memory 20 can also be an external storage device of an electronic device, such as a plug-in hard disk equipped on the electronic device, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (FlashCard), etc. Furthermore, the memory 20 can also include both an internal storage unit of the electronic device and an external storage device. The memory 20 can be used not only to store application software and various types of data of the electronic device, but also to temporarily store data that has been output or is to be output.

[0097] It should be pointed out that Figure 3 The structure shown does not constitute a limitation to the electronic device. In other embodiments, the electronic device may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0098] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the above-mentioned vehicle abnormal noise evaluation optimization method is implemented.

[0099] Those skilled in the art will appreciate that the logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0100] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disc 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, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0101] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement the hardware: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0102] Throughout this specification, references to terms such as "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. Throughout this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0103] The above embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. A method for optimizing automobile abnormal noise evaluation, characterized in that: The method comprises: Testing a target mid-bass cannon to obtain excitation force data of the target mid-bass cannon; Establishing a finite element model of a target vehicle body and determining a geometric center point of an installation position of the target subwoofer on the finite element model of the vehicle body; Inputting the excitation force data at the geometric center point and acquiring vibration sensitivity data at a target vibration response point on the vehicle body finite element model; Determining the components to be installed corresponding to each target vibration response point, and obtaining noise sensitivity data of each component to be installed; Performing superposition fitting on the excitation force data, the vibration sensitivity data, and the noise sensitivity data to determine target abnormal sound data, and determining whether the target abnormal sound data is greater than a preset abnormal sound threshold; If yes, the vehicle body or the component to be installed is structurally optimized according to the target abnormal noise data.

2. The vehicle abnormal noise evaluation optimization method according to claim 1, characterized in that: The step of testing the target mid-woofer and obtaining the excitation force data of the target mid-woofer includes: Placing the target mid-woofer on a bracket of a test bench, placing a force sensor between the target mid-woofer and the bracket, and providing a partition outside the target mid-woofer; Inputting a preset sound source to the subwoofer in the target, adjusting the operating voltage of the first subwoofer in the target in sequence, and determining the data collected by the force sensor under different operating voltages to determine multiple test excitations; The excitation force data of the subwoofer in the target is determined according to a plurality of the test excitation forces.

3. The vehicle abnormal noise evaluation optimization method according to claim 2, characterized in that: After the step of determining the geometric center point of the installation position of the target subwoofer on the vehicle body finite element model, the method further includes: The number of the geometric center points is determined, and the excitation force data is divided according to the number of the geometric center points, so that the excitation force data at each geometric center point is consistent.

4. The vehicle abnormal noise evaluation optimization method according to claim 1, characterized in that: The step of obtaining vibration sensitivity data at a target vibration response point on the vehicle body finite element model comprises: Determining whether there is abnormal data in the vibration sensitivity data; If so, input a preset vibration isolation performance correction coefficient, and return to the step of inputting the excitation force data at the geometric center point to redetermine the vibration sensitivity data.

5. The vehicle abnormal noise evaluation optimization method according to claim 1, characterized in that: The step of obtaining noise sensitivity data of each component to be installed includes: Placing the component to be mounted on an electromagnetic exciter so that the electromagnetic exciter is rigidly connected to the component to be mounted via a fixing fixture; Two acceleration sensors are respectively provided at both ends of the electromagnetic exciter and a suspended microphone is provided at a preset distance from the component to be installed, and both the acceleration sensor and the microphone are communicatively connected to a data collector; The excitation force data is input and the corresponding noise sensitivity data is acquired through the data collector.

6. The vehicle abnormal noise evaluation optimization method according to claim 5, characterized in that: After the step of inputting the excitation force data and acquiring the corresponding noise sensitivity data through the data collector, the following steps are included: Determining whether there is abnormal data in the noise sensitivity data; If so, a preset sound attenuation correction coefficient is input, and the process returns to the step of inputting the excitation force data to redetermine the noise sensitivity data.

7. The vehicle abnormal noise evaluation optimization method according to claim 6, characterized in that: After the step of optimizing the structure of the vehicle body or the component to be installed according to the target abnormal sound data, the following steps are further included: Determining whether the target abnormal sound data collected after structural optimization are all smaller than the preset abnormal sound threshold; If yes, decomposing the target abnormal noise data to determine a bracket sensitivity target curve and a component noise sensitivity target curve; The vibration sensitivity target curve and the component noise sensitivity target curve are uploaded to a historical database, so that in subsequent vehicle abnormal noise evaluation, the vehicle body and the component to be installed are evaluated separately according to the bracket sensitivity target curve and the component noise sensitivity target curve.

8. An automobile abnormal noise evaluation and optimization system, characterized in that: For implementing the vehicle abnormal noise evaluation optimization method according to any one of claims 1 to 7, the system comprises: an excitation force data determination module, configured to test a target mid-bass cannon and obtain excitation force data of the target mid-bass cannon; A model determination module, configured to establish a finite element model of a target vehicle body and determine a geometric center point of an installation position of the target subwoofer on the finite element model of the vehicle body; a vibration sensitivity data determination module, configured to input the excitation force data at the geometric center point and obtain vibration sensitivity data at a target vibration response point on the vehicle body finite element model; a noise sensitivity data determination module, configured to determine the components to be installed corresponding to each target vibration response point, and obtain noise sensitivity data of each component to be installed; a judgment module, configured to perform superposition fitting on the excitation force data, the vibration sensitivity data, and the noise sensitivity data to determine target abnormal sound data, and to judge whether the target abnormal sound data is greater than a preset abnormal sound threshold; The optimization module is configured to perform structural optimization on the vehicle body or the component to be installed according to the target abnormal sound data when the target abnormal sound data is greater than a preset abnormal sound threshold.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the vehicle abnormal noise evaluation optimization method according to any one of claims 1 to 7 are implemented.

10. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for optimizing the evaluation of abnormal noise of an automobile according to any one of claims 1 to 7 is implemented.

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