Vehicle abnormal sound testing method, device and equipment and computer readable storage medium
By acquiring vehicle physical parameters and a three-dimensional model of road surface features, and using laser sensors and gyroscopes to collect road surface features, the problem of low efficiency in vehicle abnormal noise testing has been solved, enabling fast and accurate abnormal noise testing.
Patent Information
- Application Number
- CN202511530600.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-24
- Publication Date
- 2026-01-23
AI Technical Summary
In the existing technology, due to the differences in curb weight, wheelbase, track width, suspension type, drive type and tire type of different vehicles, each product prototype needs to undergo road spectrum collection for multiple road surface combinations, resulting in low efficiency of vehicle abnormal noise testing.
By acquiring the vehicle's physical parameters and calling the three-dimensional model of the road surface features of the vehicle test road, using laser sensors and gyroscopes to collect road surface features, a three-dimensional model of the road surface features of the vehicle test road is established, and the road spectrum time domain signal of the wheels is obtained, thereby conducting abnormal noise tests.
It eliminates the need for each vehicle to travel on multiple road surfaces, directly obtaining road spectrum time-domain signals from a pre-established 3D road feature model, thus improving the efficiency of vehicle noise testing.
Smart Images
Figure CN121384486A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present disclosure relates to the field of vehicle testing, in particular to the field of vehicle abnormal sound testing. BACKGROUND
[0002] In the automobile industry, the whole vehicle four-column test is a routine test item in the development process of vehicle abnormal sound, and the abnormal sound road spectrum collection iteration is the most important work of the four-column test. Road spectrum definition: the power spectral density curve of road roughness, mainly to reflect the characteristics of road roughness through time history.
[0003] At present, due to the differences in the curb weight, wheelbase, track, suspension form, driving form and tire model of different sample vehicles, each product sample vehicle needs to be separately collected for road spectrum of multiple road surface combinations, which makes the abnormal sound four-column vibration test complicated and inefficient.
[0004] Therefore, how to improve the efficiency of vehicle abnormal sound testing has become a problem to be solved. SUMMARY
[0005] The present disclosure provides a vehicle abnormal sound testing method, device, equipment and storage medium.
[0006] According to a first aspect of the present disclosure, a vehicle abnormal sound testing method is provided. The method comprises: obtaining physical parameters of the vehicle; calling a road surface feature three-dimensional model of a vehicle testing road; obtaining a road spectrum time domain signal of a wheel according to the physical parameters of the vehicle and the road surface feature three-dimensional model of the vehicle testing road; performing abnormal sound testing on the vehicle according to the road spectrum time domain signal of the wheel.
[0007] According to the above-mentioned aspect and any possible implementation manner, a further implementation manner is provided, wherein the vehicle testing road comprises a standard road and a social road, and the road surface feature three-dimensional model of the vehicle testing road is obtained by the following steps: collecting first macro features and first micro features of the standard road when the sample vehicle travels at a constant speed on the standard road; collecting second macro features and second micro features of the social road when the sample vehicle travels at a constant speed on the social road; calling a road profile data processing algorithm; inputting the first macro features, the first micro features of the standard road, the second macro features and the second micro features of the social road into the road profile data processing algorithm to obtain the road surface feature three-dimensional model of the vehicle testing road.
[0008] According to the aspect and any possible implementation manner above, further provided is an implementation manner, wherein the front end of the sample vehicle is provided with a laser sensor. The first macro feature and the first micro feature of the standard road are collected by: The first laser data is collected by the laser sensor of the sample vehicle when the sample vehicle travels at a constant speed on the standard road. The first macro feature and the first micro feature of the standard road are obtained according to the first laser data. The second macro feature and the second micro feature of the social road are collected by: The second laser data is collected by the laser sensor of the sample vehicle when the sample vehicle travels at a constant speed on the social road. The second macro feature and the second micro feature of the social road are obtained according to the second laser data.
[0009] According to the aspect and any possible implementation manner above, further provided is an implementation manner, wherein the vehicle is further provided with a gyroscope. The acceleration of the sample vehicle in the vertical direction when the sample vehicle travels at a constant speed on the standard road and the social road is measured by the gyroscope. The displacement of the sample vehicle in the vertical direction when the sample vehicle travels on the standard road and the social road is obtained according to the acceleration of the sample vehicle in the vertical direction and time. The first macro feature and the first micro feature of the standard road, the second macro feature and the second micro feature of the social road are input into the road profile data processing algorithm to obtain a road surface feature three-dimensional model of the vehicle test road, comprising: The first macro feature and the first micro feature of the standard road, the second macro feature and the second micro feature of the social road, and the displacement of the sample vehicle in the vertical direction when the sample vehicle travels on the standard road and the social road are input into the road profile data processing algorithm to obtain a road surface feature three-dimensional model of the vehicle test road.
[0010] According to the aspect and any possible implementation manner above, further provided is an implementation manner, wherein the physical parameters of the vehicle comprise simulated accelerations of the vehicle when the vehicle travels on the test road. The road spectrum time domain signal of the wheel is obtained according to the physical parameters of the vehicle and the road surface feature three-dimensional model of the vehicle test road, comprising: According to the road surface feature three-dimensional model of the vehicle test road, a two-dimensional digital signal between the displacement in the traveling direction and the displacement in the height direction of the simulated vehicle when the vehicle travels on the vehicle test road is extracted. According to the analog acceleration and the two-dimensional digital signal, a road spectrum time domain signal of the vehicle wheel is obtained.
[0011] According to the aspect and any possible implementation manner as described above, further provided is an implementation manner, wherein the physical parameter comprises a longitudinal wheelbase. According to the analog acceleration and the two-dimensional digital signal, a road spectrum time domain signal of the vehicle wheel is obtained. According to the analog acceleration and the two-dimensional digital signal, a road spectrum time domain signal of the front wheel of the vehicle when the vehicle is simulated to drive on the vehicle test road is calculated; According to the analog acceleration and the longitudinal wheelbase of the vehicle, a driving time difference between the front axle of the vehicle and the rear axle of the vehicle is calculated. According to the road spectrum time domain signal of the front wheel and the driving time difference, a road spectrum time domain signal of the rear wheel of the vehicle when the vehicle is simulated to drive on the vehicle test road is calculated.
[0012] According to the aspect and any possible implementation manner as described above, further provided is an implementation manner, wherein the road spectrum time domain signal of the vehicle comprises the road spectrum time domain signal of the front wheel and the road spectrum time domain signal of the rear wheel. According to the road spectrum time domain signal of the vehicle wheel, the vehicle is subjected to a squeak test, comprising: The load of the vehicle is obtained. The road spectrum time domain signal of the front wheel and the road spectrum time domain signal of the rear wheel are introduced into a four-column controller, and an excitation signal of an actual exciter of the four-column is iterated according to the load of the vehicle. According to the iterated excitation signal of the actual exciter of the four-column, a vibration state of the vehicle driving on the test road is simulated to perform a squeak test.
[0013] According to a second aspect of the present disclosure, a vehicle squeak test device is provided. The device comprises: A first obtaining module is configured to obtain a physical parameter of the vehicle. A calling module is configured to call a three-dimensional model of a road surface feature of a vehicle test road. A second obtaining module is configured to obtain a road spectrum time domain signal of a vehicle wheel according to the physical parameter of the vehicle and the three-dimensional model of the road surface feature of the vehicle test road. A test module is configured to perform a squeak test on the vehicle according to the road spectrum time domain signal of the vehicle wheel.
[0014] According to a third aspect of the present disclosure, an electronic device is provided. The electronic device comprises a memory and a processor, the memory having stored thereon a computer program, the processor implementing the method as described above when executing the program.
[0015] According to a fourth aspect of the present disclosure, a computer readable storage medium is provided, having stored thereon a computer program, the program, when executed by a processor, implementing the method according to the first aspect of the present disclosure.
[0016] In the present disclosure, by acquiring the physical parameters of the vehicle and directly calling the road surface feature three-dimensional model of the vehicle test road, the road spectrum time domain signal of the wheel can be obtained according to the physical parameters of the vehicle and the road surface feature three-dimensional model of the vehicle test road, and then the vehicle can be tested for abnormal sound according to the road spectrum time domain signal of the wheel. In this way, through the pre-established road surface feature three-dimensional model of the vehicle test road, when performing the abnormal sound test, no matter what vehicle, only the physical parameters of the vehicle need to be acquired each time, and then the road spectrum time domain signal of the wheel can be directly obtained, and the vehicle abnormal sound test can be quickly performed, without the need for each vehicle to drive on multiple road surfaces and then separately collect the road spectrum of multiple road surface combinations. In this way, the efficiency of the vehicle abnormal sound test by the four-column is greatly improved.
[0017] It should be understood that the content described in the summary section is not intended to limit the key or important features of the embodiments of the present disclosure, nor to limit the scope of the present disclosure. Other features of the present disclosure will become apparent through the following description. BRIEF DESCRIPTION OF DRAWINGS
[0018] The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings. The drawings are intended to be more of a schematic nature, and not limiting the scope of the present disclosure. In the drawings, the same or similar reference numerals refer to the same or similar elements throughout the drawings, in which: Figure 1 A flow chart of a vehicle abnormal sound test method according to an embodiment of the present disclosure is shown; Figure 2 A vehicle sensor arrangement schematic diagram according to an embodiment of the present disclosure is shown; Figure 3 A spectrum diagram of a two-dimensional digital signal of a deceleration strip according to an embodiment of the present disclosure is shown; Figure 4 A block diagram of a vehicle abnormal sound test device according to an embodiment of the present disclosure is shown; Figure 5 A block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure is shown. DETAILED DESCRIPTION
[0019] So that the purposes, technical solutions and advantages of the embodiments of the present disclosure are more apparent, the technical solutions in the embodiments of the present disclosure will be described clearly and completely below with reference to the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are some but not all of the embodiments of the present disclosure. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of the present disclosure.
[0020] In addition, the term "and / or" in this document is only to describe the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B can represent the three cases of A alone, A and B together, and B alone. In addition, the character " / " in this document generally represents an "or" relationship between the front and rear associated objects.
[0021] Figure 1 A flowchart of a vehicle abnormal sound test method 100 according to an embodiment of the present disclosure is shown. The method 100 can include: Step 110, obtaining physical parameters of the vehicle; Step 120, calling a road surface feature three-dimensional model of a vehicle test road; Step 130, obtaining a road spectrum time domain signal of a wheel according to the physical parameters of the vehicle and the road surface feature three-dimensional model of the vehicle test road; Step 140, performing an abnormal sound test on the vehicle according to the road spectrum time domain signal of the wheel.
[0022] By obtaining the physical parameters of the vehicle and directly calling the road surface feature three-dimensional model of the vehicle test road, the road spectrum time domain signal of the wheel can be obtained according to the physical parameters of the vehicle and the road surface feature three-dimensional model of the vehicle test road, and then the vehicle is tested for abnormal sound according to the road spectrum time domain signal of the wheel. In this way, through the pre-established road surface feature three-dimensional model of the vehicle test road, no matter what vehicle, each time only needs to obtain the physical parameters of the vehicle, and then the road spectrum time domain signal of the wheel can be directly obtained, and then the vehicle abnormal sound test can be quickly performed, without the need for each vehicle to drive on multiple roads and then separately collect road spectrum of multiple road combinations. In this way, the efficiency of the vehicle abnormal sound test by the four-column is greatly improved.
[0023] In some embodiments, the vehicle test road includes a standard road and a social road, and the road surface feature three-dimensional model of the vehicle test road is obtained by the following steps: When a sample vehicle drives on the standard road at a constant speed, the first macro feature and the first micro feature of the standard road are collected; collecting second macro features and second micro features of the social road when the sample vehicle travels on the social road at a constant speed; calling a road profile data processing algorithm; inputting the first macro features and the first micro features of the standard road, the second macro features and the second micro features of the social road into the road profile data processing algorithm to obtain a three-dimensional model of the road surface features of the vehicle test road.
[0024] The macro features of the standard road and the social road are slope, side angle and length, and the micro features are road surface geometric dimensions, such as pits and bumps on the road surface.
[0025] In some embodiments, a laser sensor is installed at the front end of the sample vehicle; as Figure 2 The laser sensor is installed on the left and right sides of the front bumper of the vehicle.
[0026] The collecting of the first macro features and the first micro features of the standard road comprises: collecting first laser data through the laser sensor of the sample vehicle when the sample vehicle travels on the standard road at a constant speed; obtaining the first macro features and the first micro features of the standard road according to the first laser data; The collecting of the second macro features and the second micro features of the social road comprises: collecting second laser data through the laser sensor of the sample vehicle when the sample vehicle travels on the social road at a constant speed; obtaining the second macro features and the second micro features of the social road according to the second laser data.
[0027] There are two kinds of collecting road surface, (1) standard road in the test field, uniform speed is adopted to collect road surface features; (2) social road, the lowest speed is adopted to collect road surface features according to road conditions (when driving through a muddy road, avoid polluting the laser sensor).
[0028] In some embodiments, a gyroscope is also installed on the vehicle; measuring the acceleration of the sample vehicle in the vertical direction when the sample vehicle travels on the standard road and the social road at a constant speed through the gyroscope; obtaining the displacement of the sample vehicle in the vertical direction when the sample vehicle travels on the standard road and the social road according to the acceleration of the sample vehicle in the vertical direction and the time; The vertical direction is the direction perpendicular to the ground.
[0029] The three-dimensional model of road surface features can be established using a coordinate system with the vehicle's driving direction on the test road surface as the lateral direction, the vehicle's lateral direction as the longitudinal direction, and the direction perpendicular to the ground as the vertical direction.
[0030] The first macroscopic feature and first microscopic feature of the standard road, and the second macroscopic feature and second microscopic feature of the social road are input into the road contour data processing algorithm to obtain a three-dimensional model of the pavement features of the vehicle test road, including: The first macroscopic feature and first microscopic feature of the standard road, the second macroscopic feature and second microscopic feature of the social road, and the vertical displacement of the prototype vehicle when traveling on the standard road and the social road are input into the road contour data processing algorithm to obtain a three-dimensional model of the road surface features of the vehicle test road. Each test road is fixed, therefore, a three-dimensional model of the road surface features of each vehicle test road can be established.
[0031] Because vehicles inevitably encounter uneven surfaces, such as bumps or potholes, when traveling on standard roads and public roads, the vertical displacement of the vehicle causes a corresponding vertical displacement of the laser sensor. Consequently, the macroscopic and microscopic features scanned in this situation are not very accurate. Therefore, it is necessary to obtain the vertical displacement of the prototype vehicle on both the standard road and the public road by using the vertical acceleration and time measured by the accelerometer or gyroscope. Then, the first macroscopic feature and first microscopic feature of the standard road, the second macroscopic feature and second microscopic feature of the public road, and the vertical displacement of the prototype vehicle on both roads are input into the road contour data processing algorithm to obtain an accurate 3D model of the road surface features of the vehicle test road, i.e., a precise 3D model of the vehicle test road.
[0032] In some embodiments, the physical parameters of the vehicle include: the simulated acceleration of the vehicle as it travels on the test road; Based on the vehicle's physical parameters and a three-dimensional model of the road surface features of the test road, the time-domain signal of the wheel's road spectrum is obtained, including: Based on the three-dimensional model of the road surface features of the vehicle test road, extract the two-dimensional digital signal between the displacement in the driving direction and the displacement in the height direction when the simulated vehicle is driving on the vehicle test road. like Figure 3 As shown, based on the three-dimensional model of the road surface features of the vehicle test road, the displacement in the direction of travel of the simulated vehicle when it crosses a deceleration strip on the vehicle test road can be extracted. Figure 3 Displacement in the horizontal axis direction and displacement in the height direction ( Figure 3a two-dimensional digital signal between a displacement in a driving direction and a displacement in a height direction.
[0033] obtaining a road spectrum time domain signal of the wheel according to the simulated acceleration and the two-dimensional digital signal.
[0034] Since the three-dimensional model of the road surface feature of the vehicle test road is three-dimensional, a two-dimensional digital signal between a displacement in a driving direction and a displacement in a height direction of the simulated vehicle driving on the vehicle test road can be extracted based on the three-dimensional model of the road surface feature, and the displacement in the driving direction can be obtained based on the simulated acceleration and time, so that a relationship between time and the displacement in the height direction, i.e., the road spectrum time domain signal of the wheel, can be obtained based on the simulated acceleration and the two-dimensional digital signal.
[0035] In some embodiments, the physical parameter includes a longitudinal wheelbase; The obtaining of the road spectrum time domain signal of the wheel according to the simulated acceleration and the two-dimensional digital signal includes: calculating the road spectrum time domain signal of the front wheel of the simulated vehicle driving on the vehicle test road according to the simulated acceleration and the two-dimensional digital signal; calculating a driving time difference between the front axle of the vehicle and the rear axle of the vehicle according to the simulated acceleration and the longitudinal wheelbase of the vehicle (i.e., the distance between the front axle and the rear axle of the vehicle); The driving time difference refers to the time difference required for the front axle and the rear axle of the vehicle to pass through the same position.
[0036] calculating the road spectrum time domain signal of the rear wheel of the simulated vehicle driving on the vehicle test road according to the road spectrum time domain signal of the front wheel and the driving time difference.
[0037] The road spectrum time domain signal of the front wheel of the simulated vehicle driving on the vehicle test road can be calculated according to the simulated acceleration and the two-dimensional digital signal, and the road spectrum time domain signal of the rear wheel of the simulated vehicle driving on the vehicle test road can be accurately calculated by superimposing the driving time difference between the front axle of the vehicle and the rear axle of the vehicle on the road spectrum time domain signal of the front wheel.
[0038] In some embodiments, the road spectrum time domain signal of the vehicle includes the road spectrum time domain signal of the front wheel and the road spectrum time domain signal of the rear wheel. performing a noise test on the vehicle according to the road spectrum time domain signal of the wheel includes: obtaining the load of the vehicle, which refers to the weight of the vehicle.
[0039] The road spectrum time domain signal of the front wheel and the road spectrum time domain signal of the rear wheel are introduced into a four-column controller, and an excitation signal of an actual exciter of the four-column is iterated according to the load of the vehicle; According to the iterated excitation signal of the actual exciter of the four-column, the vibration state of the vehicle driving on the test road is simulated to perform the abnormal sound test.
[0040] The road spectrum time domain signal refers to the curve of the vertical displacement height of the vehicle driving on the test road with time, so the road spectrum time domain signal of the front wheel and the road spectrum time domain signal of the rear wheel are introduced into a four-column controller, and an excitation signal of an actual exciter of the four-column is iterated according to the load of the vehicle, and then the vehicle is excited in the vertical direction with the excitation signal, so that the vibration state of the vehicle driving on the test road is simulated to quickly perform the abnormal sound test.
[0041] It should be noted that, for the foregoing method embodiments, in order to simply describe, they are all expressed as a series of action combinations, but those skilled in the art should know that the disclosure is not limited by the action sequence described, because according to the disclosure, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the disclosure.
[0042] The above is the introduction of the method embodiment, and the scheme of the disclosure will be further described through the device embodiment.
[0043] Figure 4 A block diagram of a vehicle abnormal sound test device 500 according to an embodiment of the disclosure is shown. As shown in Figure 4 The device 400 includes: A first acquisition module 410 is configured to acquire physical parameters of the vehicle; A calling module 420 is configured to call a road surface feature three-dimensional model of a vehicle test road; A second acquisition module 430 is configured to obtain road spectrum time domain signals of wheels according to the physical parameters of the vehicle and the road surface feature three-dimensional model of the vehicle test road; A test module 440 is configured to perform an abnormal sound test on the vehicle according to the road spectrum time domain signals of the wheels.
[0044] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described modules can refer to the corresponding process in the foregoing method embodiments, which will not be described herein.
[0045] According to embodiments of the present disclosure, the present disclosure also provides an electronic device and a non-transitory computer-readable storage medium storing computer instructions.
[0046] Figure 5 A schematic block diagram of an electronic device 800 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown here, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present disclosure described and / or claimed in this document.
[0047] The device 800 includes a computing unit 801 that can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 802 or a computer program loaded from a storage unit 808 into a random access memory (RAM) 803. Various programs and data required for the operation of the device 800 can also be stored in the RAM 803. The computing unit 801, the ROM 802, and the RAM 803 are connected to each other through a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.
[0048] Various components in the device 800 are connected to the I / O interface 805, including an input unit 806, such as a keyboard, a mouse, etc.; an output unit 807, such as various types of displays, speakers, etc.; the storage unit 808, such as a magnetic disk, an optical disk, etc.; and a communication unit 809, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 809 allows the device 800 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunication networks.
[0049] The computing unit 801 can be various general and / or special purpose processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 801 performs various methods and processes described above, such as the method 100. For example, in some embodiments, the method 100 can be implemented as a computer software program tangibly embodied in a machine-readable medium, such as the storage unit 808. In some embodiments, part or all of the computer program can be loaded and / or installed onto the device 800 via the ROM 802 and / or the communication unit 809. When the computer program is loaded onto the RAM 803 and executed by the computing unit 801, one or more steps of the method 100 described above can be performed. Alternatively, in other embodiments, the computing unit 801 can be configured to perform the method 100 by any other suitable means, such as by means of firmware.
[0050] Various implementations of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, specially designed application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.
[0051] Program code for carrying out methods of the present disclosure can be written in any combination of one or more programming languages. The program code can be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the program code, when executed by the processor or controller, produces a means for implementing the functions / operations specified in the flowchart and / or block diagram block or blocks. The program code can be executed entirely on a machine, partially on a machine, partially on a machine and partially on a remote machine or entirely on a remote machine or server.
[0052] In the context of this disclosure, a machine-readable medium can be a tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include but is not limited to an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
[0053] To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.
[0054] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), and the Internet.
[0055] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, a server of a distributed system, or a server combined with a blockchain.
[0056] It should be understood that the various forms of flow shown above can be re-ordered, steps added or removed. For example, the steps described in the present disclosure can be performed in parallel, in series, in a different order, or any combination thereof, as long as the desired results of the present disclosure are achieved, which is not limited herein.
[0057] The specific implementation described above does not constitute a limitation on the protection scope of the present disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present disclosure shall be included in the protection scope of the present disclosure.
Claims
1. A vehicle abnormal sound test method characterized by comprising: The method comprises: acquiring physical parameters of the vehicle; calling a three-dimensional model of road surface features of a vehicle test road; obtaining a road spectrum time domain signal of a wheel according to the physical parameters of the vehicle and the three-dimensional model of road surface features of the vehicle test road; performing abnormal sound testing on the vehicle according to the road spectrum time domain signal of the wheel.
2. The method of claim 1, wherein, The vehicle test road comprises a standard road and a social road, and the three-dimensional model of road surface features of the vehicle test road is obtained by the following steps: collecting first macro features and first micro features of the standard road when a sample vehicle travels on the standard road at a constant speed; collecting second macro features and second micro features of the social road when the sample vehicle travels on the social road at a constant speed; calling a road profile data processing algorithm; inputting the first macro features and the first micro features of the standard road, the second macro features and the second micro features of the social road into the road profile data processing algorithm to obtain the three-dimensional model of road surface features of the vehicle test road.
3. The method of claim 2, wherein: a laser sensor is installed at a front end of the sample vehicle; the collecting of the first macro features and the first micro features of the standard road comprises: collecting first laser data through the laser sensor of the sample vehicle when the sample vehicle travels on the standard road at a constant speed; obtaining the first macro features and the first micro features of the standard road according to the first laser data; the collecting of the second macro features and the second micro features of the social road comprises: collecting second laser data through the laser sensor of the sample vehicle when the sample vehicle travels on the social road at a constant speed; obtaining the second macro features and the second micro features of the social road according to the second laser data.
4. The method of claim 2, wherein: a gyroscope is further installed on the vehicle; measuring, by the gyroscope, an acceleration of the sample vehicle in a vertical direction when the sample vehicle travels on the standard road and the social road at a constant speed; obtaining a displacement of the sample vehicle in the vertical direction when the sample vehicle travels on the standard road and the social road according to the acceleration of the sample vehicle in the vertical direction and time; inputting the first macro features and the first micro features of the standard road, the second macro features and the second micro features of the social road, and the displacement of the sample vehicle in the vertical direction when the sample vehicle travels on the standard road and the social road into the road profile data processing algorithm to obtain the three-dimensional model of road surface features of the vehicle test road.
5. The method of claim 1, wherein: the physical parameters of the vehicle comprise simulated accelerations of the vehicle when the vehicle travels on the test road; the obtaining of the road spectrum time domain signal of the wheel according to the physical parameters of the vehicle and the three-dimensional model of road surface features of the vehicle test road comprises: extracting a two-dimensional digital signal between a displacement in a driving direction and a displacement in a height direction of the simulated vehicle driving on the vehicle test road according to the three-dimensional model of the road surface features of the vehicle test road; obtaining a road spectrum time domain signal of the vehicle wheel according to the simulated acceleration and the two-dimensional digital signal.
6. The method of claim 5, wherein, the physical parameter comprises a longitudinal wheelbase; the obtaining of the road spectrum time domain signal of the vehicle wheel according to the simulated acceleration and the two-dimensional digital signal comprises: calculating a road spectrum time domain signal of a front wheel of the simulated vehicle driving on the vehicle test road according to the simulated acceleration and the two-dimensional digital signal; calculating a driving time difference between a front axle of the vehicle and a rear axle of the vehicle according to the simulated acceleration and the longitudinal wheelbase of the vehicle; calculating a road spectrum time domain signal of a rear wheel of the simulated vehicle driving on the vehicle test road according to the road spectrum time domain signal of the front wheel and the driving time difference.
7. The method of any one of claims 1-6, wherein, the road spectrum time domain signal of the vehicle comprises the road spectrum time domain signal of the front wheel and the road spectrum time domain signal of the rear wheel; the performing of the abnormal sound test on the vehicle according to the road spectrum time domain signal of the vehicle wheel comprises: obtaining a load of the vehicle; inputting the road spectrum time domain signal of the front wheel and the road spectrum time domain signal of the rear wheel into a four-column controller, and iterating an excitation signal of an actual exciter of the four-column according to the load of the vehicle; simulating a vibration state of the vehicle driving on the test road according to the iterated excitation signal of the actual exciter of the four-column to perform the abnormal sound test.
8. A vehicle abnormal sound testing device characterized by comprising: comprise: a first obtaining module configured to obtain a physical parameter of the vehicle; a calling module configured to call a three-dimensional model of road surface features of a vehicle test road; a second obtaining module configured to obtain a road spectrum time domain signal of a vehicle wheel according to the physical parameter of the vehicle and the three-dimensional model of road surface features of the vehicle test road; a testing module configured to perform an abnormal sound test on the vehicle according to the road spectrum time domain signal of the vehicle wheel.
9. An electronic device, comprising: comprise: a memory and a processor, the memory stores a computer program, and the processor implements the method of any one of claims 1-7 when executing the program.
10. A computer readable storage medium, wherein when instructions in the storage medium are executed by a processor corresponding to an electronic device, the electronic device is enabled to implement the vehicle abnormal sound test method of any one of claims 1-7.