Vehicle noise prediction method and system

Abstract

The invention provides a vehicle noise prediction method and system, and the method comprises the steps: selecting a chassis model matched with a current vehicle body model, and reading a force transmission curve from the wheel center of the corresponding chassis model to each connection point in different frequency ranges; reading a noise transfer function of the current vehicle body model from each connection point to a response point in different frequency ranges; determining noise values transmitted from the connection points to the response points in different frequency ranges based on force transmission curves from the wheel center to the connection points and noise transmission functions from the connection points to the response points in different frequency ranges, and weighting the noise values of the connection points at the response points in different frequency ranges; and noise at the response point in the current vehicle body is obtained. The vehicle body model can be directly selected from the vehicle body database or is a newly developed existing chassis model adaptive to the current vehicle body model, the noise value of the vehicle formed by the selected vehicle body model and the chassis model at the response point is quickly estimated, and the use is convenient and flexible.

Description

Technical Field

[0001] The present invention relates to the technical field of noise prediction and provides a vehicle noise prediction method and system. Background Art

[0002] With the development of science and technology, cars are becoming more and more important to people as a means of transportation. As a result, people have put forward more requirements for cars, among which riding comfort is one of the important indicators.

[0003] The level of in-car noise significantly impacts consumer comfort. Therefore, a calmer, more comfortable driving experience is highly sought after. Consequently, while consumers are increasingly focused on vehicle appearance and multimedia features, they are also increasingly emphasizing NVH performance and handling stability. Excellent NVH performance and superior handling and driving experience often become key factors in differentiating car brands, directly influencing consumer purchasing preferences.

[0004] Most existing vehicle noise predictions are based on the basic completion of vehicle development. The NVH performance of the vehicle is determined through simulation of the vehicle model. When the NVH performance of the vehicle is poor, some model parameters of the vehicle model are adjusted, and the adjusted vehicle model is simulated again to determine the NVH performance of the vehicle. This process is repeated until the NVH performance of the vehicle meets the set standards, which leads to a long development cycle. Summary of the Invention

[0005] In view of this, the present application provides a vehicle noise prediction method, aiming to improve at least one of the above problems.

[0006] Specifically, the following technical solutions are included:

[0007] In one aspect, an embodiment of the present application provides a vehicle noise prediction method, which is specifically as follows:

[0008] (1) Select a chassis model that matches the current vehicle body model and read the force transfer curves from the wheel center to each connection point under different frequency ranges.

[0009] (2) Read the noise transfer function from each connection point to the response point in different frequency ranges of the current vehicle body model;

[0010] (3) Based on the force transfer curves from the wheel center to each connection point and the noise transfer functions from each connection point to the response point in different frequency ranges, the noise values ​​transmitted from each connection point to the response point in different frequency ranges are determined. The noise values ​​of each connection point at the response point in different frequency ranges are weighted to obtain the noise at the response point in the current vehicle body.

[0011] In some embodiments of the present invention, a chassis model that matches the size and weight of the current vehicle body model is read from a chassis database. The chassis database is used to store the chassis model. The chassis model includes a three-dimensional chassis model, information on the connection points between the chassis and the vehicle body, and force transfer curves from the wheel center to each connection point under different frequency ranges.

[0012] In some embodiments of the present invention, the process of obtaining the force transmission curve from the wheel center to each connection point in the chassis model at different frequency ranges is specifically as follows:

[0013] (11) Arrange sensors on the steering knuckle of the actual vehicle chassis, control the chassis to be tested on a designated road surface in the test field, and obtain the vibration acceleration signal of the steering knuckle under the corresponding road surface excitation through the arranged sensors during the test;

[0014] (12) Perform Fourier transform on the collected vibration acceleration signal to convert it into the corresponding power spectrum PSD signal;

[0015] (13) Construct a finite element vehicle model of the vehicle where the chassis model is located, and determine at least one response point in the cockpit of the finite element vehicle model.

[0016] (14) Apply the power spectrum PSD signal corresponding to the load excitation on the steering knuckle of the finite element vehicle model, and collect the noise response of each response point in different frequency ranges to obtain the noise transfer function from the steering knuckle to the response point in different frequency ranges;

[0017] (15) According to the power spectrum PSD signal of the steering knuckle and the noise transfer function from the steering knuckle to the response point in different frequency ranges, the load of the wheel center in different frequency ranges is determined, and then the force transfer curve from the chassis wheel center to each connection point in different frequency ranges is determined.

[0018] In some embodiments of the present invention, at least two corresponding points are set in the cockpit, arranged outside the driver's ear and outside the ear of the rear right passenger.

[0019] In some embodiments of the present invention, the noise response of each response point in the range of 20-400 Hz is collected.

[0020] In some embodiments of the present invention, the process of obtaining the noise transfer function from each connection point to the response point in the current vehicle body model in different frequency ranges is specifically as follows:

[0021] (21) Determine the response point and monitoring frequency in the cockpit;

[0022] (22) Apply unit excitation to each connection point and collect the noise value of the response point in different frequency ranges;

[0023] (23) Determine the noise transfer function from each connection point to the response point within different frequency ranges.

[0024] In some embodiments of the present invention, the current vehicle body model is read from a vehicle body model database, where the vehicle body model includes: a three-dimensional vehicle body model, connection point information between the chassis and the vehicle body, and a noise transfer function from the connection point to the response point.

[0025] On the other hand, an embodiment of the present application provides a vehicle noise prediction system, the system comprising:

[0026] a chassis database, a body database; a processing unit connected to the chassis database and the body database; and an output unit connected to the processing unit, wherein the chassis database stores a chassis model, including a three-dimensional chassis model, information about connection points between the chassis and the body, and force transfer curves from the wheel center to each connection point under different frequency ranges; and the body database stores a body model, including a three-dimensional body model, information about connection points between the chassis and the body, and a noise transfer function from the connection point to the response point.

[0027] A body model is selected from a body database and input into a processing unit. A chassis model that matches the selected body model is selected from a chassis database and input into a processing unit. The processing unit determines a noise value at a response point in a cockpit of the body model based on the selected body model and chassis model.

[0028] In some embodiments of the present invention, the processing unit reads the force transfer curves from the wheel center to each connection point in different frequency ranges from the chassis model, and reads the noise transfer function from each connection point to the response point from the vehicle body model, thereby determining the noise value transmitted from each connection point to the response point in different frequency ranges, and weighting the noise value of each connection point at the response point in different frequency ranges to obtain the noise at the response point in the current vehicle body.

[0029] In some embodiments of the present invention, the system includes:

[0030] Input input unit, connected to the processing unit and the vehicle body database respectively;

[0031] The input unit directly inputs the newly developed three-dimensional body model into the processing unit. The processing unit extracts the noise transfer function from each connection point to the response point of the three-dimensional body model in different frequency ranges. Then, based on the selected chassis model that is adapted to the current body model, the processing unit determines the noise value of the vehicle with the currently selected body model and chassis model combination at the response point, and outputs it through the output unit.

[0032] The body model can be directly selected from the body database or newly developed, and the chassis model of the currently selected body model can be adapted from the chassis database. Based on the selected body model and chassis model, the noise value of the vehicle formed by the combination of the two at the response point can be estimated. The vehicle noise level formed by the combination of the two can be quickly evaluated. It is easy and flexible to use and facilitates the implementation of different projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0034] Figure 1 A flow chart of a vehicle noise prediction method provided by an embodiment of the present invention;

[0035] Figure 2 A schematic diagram of the structure of a vehicle noise prediction system provided by an embodiment of the present invention;

[0036] The above drawings illustrate specific embodiments of the present application, which will be described in more detail below. These drawings and the textual description are not intended to limit the scope of the present application in any way, but rather to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0038] Unless otherwise defined, all technical terms used in the embodiments of the present application have the same meanings as commonly understood by those skilled in the art.

[0039] A vehicle is composed of a body and a chassis. Platform-based vehicle manufacturing has become a new trend. All vehicles have a chassis, whether it is load-bearing or non-load-bearing. The present invention performs surface conversion processing on the chassis and the body. When developing a new model, an existing chassis model is selected and development is carried out based on the existing chassis model, which greatly shortens the development cycle. Figure 1 This is a flow chart of a vehicle noise prediction method provided by an embodiment of the present invention. The method is specifically as follows:

[0040] (1) Select a chassis model that matches the current body model. Connect the body model to the selected chassis model through connection points, and read the force transfer curve from the wheel center of the corresponding chassis model to each connection point under different frequency ranges.

[0041] (2) Read the noise transfer function from each connection point to the response point in different frequency ranges of the current vehicle body model;

[0042] (3) Based on the force transfer curves from the wheel center to each connection point and the noise transfer functions from each connection point to the response point in different frequency ranges, the noise values ​​transmitted from each connection point to the response point in different frequency ranges are determined. The noise values ​​of each connection point at the response point in different frequency ranges are weighted to obtain the noise at the response point in the current vehicle body.

[0043] In an embodiment of the present invention, the current vehicle body is generally a newly developed vehicle body model, which is connected to a selected adaptive chassis model via connection points. The present invention reads a chassis model that is adapted to the size and weight of the current vehicle body model from a chassis database. The chassis database stores a developed and mature chassis model, including a three-dimensional chassis model, information on the connection points between the chassis and the vehicle body, and force transfer curves from the wheel center to each connection point under different frequency ranges.

[0044] In the embodiment of the present invention, the process of obtaining the force transmission curve from the wheel center to each connection point in the chassis model at different frequency ranges is specifically as follows:

[0045] (11) Arrange sensors on the steering knuckle of the actual vehicle chassis, control the chassis to be tested on a designated road surface in the test field, and obtain the vibration acceleration signal of the steering knuckle under the corresponding road surface excitation through the arranged sensors during the test;

[0046] (12) Perform Fourier transform on the collected vibration acceleration signal to convert it into the corresponding power spectrum PSD signal;

[0047] (13) Construct a finite element vehicle model of the vehicle in which the chassis model is located, determine at least one response point in the cockpit of the finite element vehicle model, and set at least two corresponding points in the cockpit, which are arranged at the position outside the driver's ear and the position outside the ear of the rear right passenger;

[0048] (14) Apply the power spectrum PSD signal corresponding to the load excitation on the steering knuckle of the finite element vehicle model, and collect the noise response of each response point in different frequency ranges at the same time, and obtain the noise transfer function from the steering knuckle to the response point in different frequency ranges. The noise response of each corresponding point in the range of 20-400Hz is mainly investigated;

[0049] (15) According to the power spectrum PSD signal of the steering knuckle and the noise transfer function from the steering knuckle to the response point in different frequency ranges, the load of the wheel center in different frequency ranges is determined, and then the force transfer curve from the chassis wheel center to each connection point in different frequency ranges is determined.

[0050] In an embodiment of the present invention, after determining the force transfer curve from the wheel center to each connection point in the chassis model of each existing vehicle model based on the above steps (11) to (15), the chassis three-dimensional model, the connection point information of the chassis and the force transfer curve from the chassis wheel center to each connection point are stored, and the vehicle model and version information are used as the corresponding chassis model for identification, and the chassis model and the identification are stored in the chassis database.

[0051] When the chassis model needs to be matched with the body model in the future, the chassis model and version information of the matching chassis is entered into the chassis database. The chassis model can be found in the chassis database, including the chassis 3D model, the connection point information between the chassis and the body, and the force transmission curve from the wheel center to each connection point under different frequency ranges.

[0052] In the embodiment of the present invention, the process of obtaining the noise transfer function from each connection point to the response point of the current vehicle body model in different frequency ranges is specifically as follows:

[0053] (21) Determine the response points and monitoring frequency in the cockpit. The response points are set to the same positions and numbers as those in step (13). The monitoring frequency is set to the monitoring frequency range of the response points in step (14);

[0054] (22) Apply unit excitation to each connection point and collect the noise value of the response point in different frequency ranges;

[0055] (23) Determine the noise transfer function from each connection point to the response point within different frequency ranges.

[0056] In an embodiment of the present invention, after determining the noise transfer function from each connection point to the response point in the current vehicle body model based on steps (21) to (23), the current vehicle body model is stored in a vehicle body database. The vehicle body model includes: a three-dimensional model of the vehicle body, information on connection points between the chassis and the vehicle body, and noise transfer functions from the connection points to the response points. The current vehicle body model is identified based on a set naming rule, and the vehicle body model and its identification are stored in the vehicle body database.

[0057] The body model in the present invention can be directly selected from the body database or newly developed, and the chassis model of the currently selected body model is adapted from the chassis database. Based on the selected body model and chassis model, the noise value of the vehicle formed by the combination of the two at the response point can be estimated, and the vehicle noise level formed by the combination of the two can be quickly evaluated. It is easy and flexible to use and is convenient for implementation in different projects.

[0058] Figure 2 This is a schematic diagram of the structure of a vehicle noise prediction system provided by an embodiment of the present invention. For ease of explanation, only the parts related to the embodiment of the present invention are shown. The system includes:

[0059] a chassis database, a body database; a processing unit connected to the chassis database and the body database; and an output unit connected to the processing unit, wherein the chassis database stores a chassis model, including a three-dimensional chassis model, information about connection points between the chassis and the body, and force transfer curves from the wheel center to each connection point under different frequency ranges; and the body database stores a body model, including a three-dimensional body model, information about connection points between the chassis and the body, and a noise transfer function from the connection point to the response point.

[0060] A body model is selected from a body database and input into a processing unit. A chassis model that matches the selected body model is selected from a chassis database and input into a processing unit. The processing unit determines a noise value at a response point in a cockpit of the body model based on the selected body model and chassis model.

[0061] In this embodiment of the present invention, the processing unit reads the force transfer curves from the wheel center to each connection point in different frequency ranges from the chassis model, and reads the noise transfer function from each connection point to the response point from the vehicle body model, thereby determining the noise value transmitted from each connection point to the response point in different frequency ranges, and weighting the noise value of each connection point at the response point in different frequency ranges to obtain the noise at the response point in the current vehicle body.

[0062] The process of obtaining the force transfer curve from the wheel center to each connection point in the chassis model at different frequency ranges is shown in the above steps (11) to (15), and the noise transfer function from each connection point to the response point in the vehicle body model at different frequency ranges is shown in the above steps (21) to (23), which will not be described in detail herein. The present invention sets at least two corresponding points in the cockpit, arranged at the position outside the driver's ear and the position outside the rear right passenger's ear, and mainly detects the noise response of each response point in the range of 20-400Hz.

[0063] In an embodiment of the present invention, the system further includes: an input unit, which is connected to the processing unit and the vehicle body database respectively, wherein the input unit directly inputs the newly developed three-dimensional vehicle body model into the processing unit, and the processing unit extracts the noise transfer function from each connection point to the response point when the three-dimensional vehicle body model is in different frequency ranges, and then determines the noise value of the vehicle with the currently selected vehicle body model and chassis model combination at the response point based on the selected chassis model adapted to the current vehicle body model, and outputs it through the output unit.

[0064] In addition, after the processing unit completes the extraction of the noise transfer function from each connection point to the response point of the three-dimensional model of the vehicle body in different frequency ranges, the vehicle body model and its identification composed of the three-dimensional model of the current vehicle body, the connection point information between the chassis and the vehicle body, and the noise transfer function from the connection point to the response point are stored in the vehicle body database.

[0065] The body model in the present invention can be directly selected from the body database or newly developed, and the chassis model of the currently selected body model is adapted from the chassis database. Based on the selected body model and chassis model, the noise value of the vehicle formed by the combination of the two at the response point can be estimated, and the vehicle noise level formed by the combination of the two can be quickly evaluated. It is easy and flexible to use and is convenient for implementation in different projects.

[0066] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the present invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only.

[0067] It should be understood that the present application is not limited to the exact structures described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A vehicle noise prediction method, characterized in that: The method is specifically as follows: (1) Select a chassis model that matches the current vehicle body model and read the force transfer curves from the wheel center to each connection point under different frequency ranges. (2) Read the noise transfer function from each connection point to the response point in different frequency ranges of the current vehicle body model; (3) Based on the force transfer curves from the wheel center to each connection point and the noise transfer functions from each connection point to the response point in different frequency ranges, the noise values ​​transmitted from each connection point to the response point in different frequency ranges are determined. The noise values ​​of each connection point at the response point in different frequency ranges are weighted to obtain the noise at the response point in the current vehicle body.

2. The vehicle noise prediction method according to claim 1, wherein: A chassis model that matches the size and weight of the current body model is read from the chassis database. The chassis database is used to store chassis models. The chassis model includes a three-dimensional chassis model, information on the connection points between the chassis and the body, and force transmission curves from the wheel center to each connection point under different frequency ranges.

3. The vehicle noise prediction method according to claim 2, wherein: The process of obtaining the force transfer curve from the wheel center to each connection point in the chassis model at different frequency ranges is as follows: (11) Arrange sensors on the steering knuckle of the actual vehicle chassis, control the chassis to be tested on a designated road surface in the test field, and obtain the vibration acceleration signal of the steering knuckle under the corresponding road surface excitation through the arranged sensors during the test; (12) Perform Fourier transform on the collected vibration acceleration signal to convert it into the corresponding power spectrum PSD signal; (13) Construct a finite element vehicle model of the vehicle where the chassis model is located, and determine at least one response point in the cockpit of the finite element vehicle model. (14) Apply the power spectrum PSD signal corresponding to the load excitation on the steering knuckle of the finite element vehicle model, and collect the noise response of each response point in different frequency ranges to obtain the noise transfer function from the steering knuckle to the response point in different frequency ranges; (15) According to the power spectrum PSD signal of the steering knuckle and the noise transfer function from the steering knuckle to the response point in different frequency ranges, the load of the wheel center in different frequency ranges is determined, and then the force transfer curve from the chassis wheel center to each connection point in different frequency ranges is determined.

4. The vehicle noise prediction method according to claim 3, wherein: At least two corresponding points are set in the cockpit, arranged outside the driver's ear and outside the ear of the rear right passenger.

5. The vehicle noise prediction method according to claim 3, wherein: Collect the noise response of each response point in the range of 20-400Hz.

6. The vehicle noise prediction method according to claim 1, wherein: The process of obtaining the noise transfer function from each connection point to the response point in different frequency ranges of the current vehicle body model is as follows: (21) Determine the response point and monitoring frequency in the cockpit; (22) Apply unit excitation to each connection point and collect the noise value of the response point in different frequency ranges; (23) Determine the noise transfer function from each connection point to the response point within different frequency ranges.

7. The vehicle noise prediction method according to claim 6, characterized in that: The current body model is read from the body model database. The body model includes: a three-dimensional body model, connection point information between the chassis and the body, and a noise transfer function from the connection point to the response point.

8. A vehicle noise prediction system, characterized in that: The system comprises: a chassis database, a body database; a processing unit connected to the chassis database and the body database; and an output unit connected to the processing unit, wherein the chassis database stores a chassis model, including a three-dimensional chassis model, information about connection points between the chassis and the body, and force transfer curves from the wheel center to each connection point under different frequency ranges; and the body database stores a body model, including a three-dimensional body model, information about connection points between the chassis and the body, and a noise transfer function from the connection point to the response point. A body model is selected from a body database and input into a processing unit. A chassis model that matches the selected body model is selected from a chassis database and input into a processing unit. The processing unit determines a noise value at a response point in a cockpit of the body model based on the selected body model and chassis model.

9. The vehicle noise prediction system according to claim 8, wherein: The processing unit reads the force transfer curves from the wheel center to each connection point in different frequency ranges from the chassis model, and reads the noise transfer function from each connection point to the response point from the vehicle body model. It then determines the noise value transmitted from each connection point to the response point in different frequency ranges, and weights the noise value of each connection point at the response point in different frequency ranges to obtain the noise at the response point in the current vehicle body.

10. The vehicle noise prediction system according to claim 8, wherein: The system comprises: Input input unit, connected to the processing unit and the vehicle body database respectively; The input unit directly inputs the newly developed three-dimensional body model into the processing unit. The processing unit extracts the noise transfer function from each connection point to the response point of the three-dimensional body model in different frequency ranges. Then, based on the selected chassis model that is adapted to the current body model, the processing unit determines the noise value of the vehicle with the currently selected body model and chassis model combination at the response point, and outputs it through the output unit.

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