Braking noise analysis method and device, storage medium and computer equipment

Through the finite element model assembly and friction coefficient calculation method, the problem of high cost and low accuracy of braking noise analysis in the prior art is solved, and more efficient and accurate noise source recognition is achieved.

CN119989772APending Publication Date: 2025-05-13SAIC GM WULING AUTOMOBILE CO LTD
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Patent Information

Application Number
CN202411960050.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-27
Publication Date
2025-05-13

AI Technical Summary

Technical Problem

The prior art is costly when analyzing brake noise, and it is difficult to accurately identify all noise sources, and the analysis accuracy and efficiency are low.

Method used

By assembling the finite element model of each part into a brake assembly, the complex eigenvalues ​​are calculated based on the set friction coefficients, and braking noise analysis is performed.

Benefits of technology

It reduces the cost of braking noise analysis, can accurately identify multiple noise sources, and improves the accuracy and efficiency of the analysis.

✦ Generated by Eureka AI based on patent content.

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Abstract

The embodiment of the invention provides a braking noise analysis method and device, a storage medium and computer equipment. The method comprises the steps that finite element models of all parts are assembled, and a brake assembly is generated; calculating a complex characteristic value of the brake assembly according to the set friction coefficient; and carrying out braking noise analysis according to the complex characteristic values. In the technical scheme provided by the embodiment of the invention, the brake noise can be analyzed according to the complex characteristic value calculated according to the set friction coefficient, so that the analysis cost of the brake noise is reduced, various noise sources can be accurately identified, and the analysis accuracy and efficiency of the brake noise are improved.
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Description

Technical Field

[0001] The present invention relates to the field of vehicle technology, and in particular to a brake noise analysis method, device, storage medium and computer equipment. Background Art

[0002] Braking noise (sharp noise) is a squeaking noise of about 2KHz to 16KHz that is easily perceived by the user when lightly pressing the brake. It is a low-level sound that damages the quality of the vehicle. Braking noise during braking is generated based on the following two principles: 1. Vibration (energy) source: caused by the μ-v characteristics of the friction surface and the instability of the geometric structure of the brake caliper. 2. Resonance system: The internal damping of the brake parts such as the caliper, brake pad, rotor, etc. and the damping of the contact surface that constitute the system do not work due to the influence of their respective eigenvalues, eigenvectors, and the joint stiffness on the contact surface.

[0003] In the related art, experiments are conducted on actual vehicles to test the braking noise under different working conditions in order to analyze the braking noise. However, the analysis cost is high and it is difficult to accurately identify all noise sources. The accuracy and efficiency of the braking noise analysis are low. Summary of the invention

[0004] In view of this, an embodiment of the present invention provides a brake noise analysis method, apparatus, storage medium and computer equipment to reduce the analysis cost of brake noise, accurately identify multiple noise sources, and improve the accuracy and efficiency of brake noise analysis.

[0005] In one aspect, an embodiment of the present invention provides a brake noise analysis method, comprising:

[0006] Assemble the finite element models of each component to generate a brake assembly;

[0007] Calculating a complex characteristic value of the brake assembly according to a set friction coefficient;

[0008] A brake noise analysis is performed based on the complex eigenvalues.

[0009] Optionally, the complex eigenvalues ​​include a first contact stiffness damping matrix, and the calculating of the complex eigenvalues ​​of the brake assembly according to the set friction coefficient includes:

[0010] Calculate the friction coefficient according to the obtained static friction coefficient, rotor speed, and vibration speed of the rotor / brake pad disturbance in the X direction by using a first formula;

[0011] Establish the first equivalent model of the contact surface mode;

[0012] Based on the first equivalent model, a first transmission force and a second transmission force are generated according to the friction coefficient, the vibration speed of the rotor / brake pad disturbed in the X direction, the obtained friction force, the spring coefficient, and the damping coefficient through a second formula;

[0013] Substituting the first formula into the second formula, a first contact stiffness damping matrix is ​​obtained.

[0014] Optionally, the complex eigenvalues ​​include a second contact stiffness damping matrix, and the calculating the complex eigenvalues ​​of the brake assembly according to the set friction coefficient includes:

[0015] When the geometric structure of the rotor causes the steering force to change, the friction coefficient is divided into the friction coefficient in the X direction, the friction coefficient in the Y direction and the friction coefficient in the Z direction;

[0016] Establish the second equivalent model of the contact surface mode;

[0017] Based on the second equivalent model, a third transmission force and a fourth transmission force are generated according to the friction coefficient in the X direction, the friction coefficient in the Y direction and the friction coefficient in the Z direction, the vibration speed of the rotor / brake pad disturbed in the X direction, the obtained friction force, the spring coefficient and the damping coefficient through a third formula;

[0018] The second contact stiffness damping matrix is ​​sorted out according to the third formula.

[0019] Optionally, the complex eigenvalues ​​include a contact stiffness damping matrix, and the calculating of the complex eigenvalues ​​of the brake assembly according to the set friction coefficient includes:

[0020] The contact stiffness damping matrix is ​​generated according to the first contact stiffness damping matrix and the second contact stiffness damping matrix.

[0021] Optionally, performing brake noise analysis according to the complex eigenvalues ​​includes:

[0022] Acquire the braking noise frequency generated by the rotor rotation according to the complex eigenvalue;

[0023] A brake noise analysis is performed according to the brake noise frequency.

[0024] Optionally, before assembling the finite element models of the various parts to generate the brake assembly, the process includes:

[0025] Create finite element models of multiple parts;

[0026] Enter the material coefficients corresponding to each part in the finite element model;

[0027] Calculate the eigenvalues ​​of each part based on the canonical mode algorithm;

[0028] Brake noise analysis is performed based on the characteristic values ​​of each part, and treatment countermeasures are generated.

[0029] Optionally, the treatment measures include: changing the thickness of the brake pad back plate, changing the shape of the brake pad opening; changing the spoke thickness distribution of the rotor sliding part, changing the number and shape of ribs; or changing the stiffness of the cylinder body.

[0030] On the other hand, an embodiment of the present invention provides a braking noise analysis device, comprising:

[0031] The assembly module is used to assemble the finite element models of various parts to generate a brake assembly;

[0032] A first calculation module, used for calculating a complex characteristic value of the brake assembly according to a set friction coefficient;

[0033] The first analysis module is used to perform brake noise analysis according to the complex eigenvalues.

[0034] On the other hand, an embodiment of the present invention provides a storage medium, wherein the storage medium includes a stored program, wherein when the program is executed, the device where the storage medium is located is controlled to execute the above-mentioned brake noise analysis method.

[0035] On the other hand, an embodiment of the present invention provides a computer device, including a memory and a processor, wherein the memory is used to store information including program instructions, and the processor is used to control the execution of the program instructions, and is characterized in that the program instructions implement the steps of the above-mentioned braking noise analysis method when loaded and executed by the processor.

[0036] In the technical solution provided by the embodiment of the present invention, the finite element models of various parts are assembled to generate a brake assembly; the complex eigenvalues ​​of the brake assembly are calculated according to the set friction coefficient; and the brake noise analysis is performed according to the complex eigenvalues. In the technical solution provided by the embodiment of the present invention, the brake noise analysis can be performed according to the complex eigenvalues ​​calculated according to the set friction coefficient, which reduces the analysis cost of the brake noise, can accurately identify multiple noise sources, and improves the accuracy and efficiency of the brake noise analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0038] Figure 1 A flowchart of a brake noise analysis method provided by an embodiment of the present invention;

[0039] Figure 2 A flowchart of another brake noise analysis method provided by an embodiment of the present invention;

[0040] Figure 3 A schematic diagram of the noise result of the characteristic value of a part provided by an embodiment of the present invention;

[0041] Figure 4 A schematic diagram of a model of a brake assembly provided by an embodiment of the present invention;

[0042] Figure 5 A schematic diagram of a first equivalent model provided by an embodiment of the present invention;

[0043] Fig. 6A A schematic diagram of the relationship between contact surface pressure and spring coefficient provided by an embodiment of the present invention;

[0044] Figure 6B A schematic diagram of the relationship between contact surface pressure and damping coefficient provided by an embodiment of the present invention;

[0045] Figure 7 A schematic diagram of the coordinate direction of the friction force provided by an embodiment of the present invention;

[0046] Figure 8 A schematic diagram of a second equivalent model provided by an embodiment of the present invention;

[0047] Fig. 9 A schematic diagram of performing brake noise analysis based on complex eigenvalues ​​provided by an embodiment of the present invention;

[0048] Fig.10 A schematic diagram of a brake noise analysis device provided by an embodiment of the present invention;

[0049] Fig.11 A schematic diagram of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0050] In order to better understand the technical solution of the present invention, the embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0051] It should be clear that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] The terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. The singular forms "a", "said" and "the" used in the embodiments of the present invention and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

[0053] It should be understood that the term "and / or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0054] In the embodiment of the present invention, the brake noise generated during braking has the following two vibration sources: friction force variation caused by the μ-V characteristic of the friction surface; and friction force variation caused by the unstable geometric structure of the brake caliper.

[0055] Based on the vibration source of the brake noise generated during braking, an embodiment of the present invention provides a brake noise analysis method. Figure 1 A flowchart of a brake noise analysis method provided by an embodiment of the present invention is shown in FIG. Figure 1 As shown, the method includes:

[0056] Step 102: Assemble the finite element models of the various parts to generate a brake assembly.

[0057] In the embodiment of the present invention, the various parts constituting the brake assembly include: a back plate, a brake pad, a cylinder body, a cylinder jaw, a rotor and a torque member.

[0058] Step 104: Calculate the complex characteristic value of the brake assembly according to the set friction coefficient.

[0059] Step 106: Perform brake noise analysis according to the complex eigenvalues.

[0060] In the technical solution provided by the embodiment of the present invention, the finite element models of various parts are assembled to generate a brake assembly; the complex eigenvalues ​​of the brake assembly are calculated according to the set friction coefficient; and the brake noise analysis is performed according to the complex eigenvalues. In the technical solution provided by the embodiment of the present invention, the brake noise analysis can be performed according to the complex eigenvalues ​​calculated according to the set friction coefficient, which reduces the analysis cost of the brake noise, can accurately identify multiple noise sources, and improves the accuracy and efficiency of the brake noise analysis.

[0061] An embodiment of the present invention provides another brake noise analysis method. Figure 2 A flowchart of another brake noise analysis method provided by an embodiment of the present invention is shown in FIG. Figure 2 As shown, the method includes:

[0062] Step 202: Establish finite element models of multiple parts.

[0063] In the embodiment of the present invention, each step is performed by a computer device. For example, the computer device includes a computer or a tablet computer.

[0064] In the embodiment of the present invention, a FEM model of multiple parts is established, wherein the multiple parts may include: a rotor, a caliper, a brake pad, a cylinder and / or a torque member.

[0065] Step 204: Input the material coefficient corresponding to each part in the finite element model.

[0066] In the embodiment of the present invention, the material coefficients corresponding to each part include: elastic modulus, Poisson's ratio and / or density. For example, the elastic modulus corresponding to the rotor is 117.6 GPa, the Poisson's ratio is 0.27, and the density is 7240 kg / m 3 .

[0067] Step 206: Calculate the part feature value of each part based on the canonical mode algorithm.

[0068] In the embodiment of the present invention, the part characteristic value of each part can be calculated by Nastran SOL.103. (If there is a test result, it can be compared with the test value to make the error of the part characteristic value within ±5%. If the error is large, the elastic modulus can be changed and then calculated).

[0069] Step 208: Perform brake noise analysis based on the component characteristic value of each component and generate a treatment strategy.

[0070] In the embodiment of the present invention, the brake noise is generated by the ductile vibration of the cylinder, rotor, brake pad, torque member, etc. Therefore, when the component characteristic values ​​of each component are close, it is easy to generate a sharp abnormal sound.

[0071] Figure 3 A schematic diagram of the noise result of the part characteristic value provided by an embodiment of the present invention, such as Figure 3As shown, there are cases where the characteristic values ​​of the components of the whole composition are close to each other and produce abnormal noise, but there are also cases where the characteristic values ​​of two parts are close to each other (at the same time as they become closer to each other) and produce abnormal noise. In addition, even if the sharp abnormal noise frequency is inconsistent with the characteristic values ​​of the components, if the difference is within 1kHz, it can be considered as the cause of the abnormal noise. In the actual assembly (ASSY) state, after the hydraulic pressure and braking force act, the joint stiffness will be generated on each contact surface, and the characteristic value of the parts will also change by about 1kHz.

[0072] In the embodiment of the present invention, the treatment measures include: changing the thickness of the brake pad back plate, changing the shape of the brake pad opening (vertical, horizontal, inclined, etc.); changing the spoke thickness distribution of the rotor sliding part, changing the number and shape of ribs; or changing the stiffness of the cylinder body (modal analysis can be performed to determine the changed part of the body).

[0073] For example, when the part is a rotor, a FEM model of the rotor can be established, and the rotor eigenvalues ​​can be calculated through the finite element model (Nastran), the rotor eigenvalues ​​can be input, the difference between the rotor's out-of-plane eigenvalues ​​and the rotor's in-plane eigenvalues ​​can be determined, and the frequency of the out-of-plane eigenvalues ​​can be changed according to the rotor eigenvalues. Braking noise (sharp abnormal noise) is caused by the friction force during braking, which makes the rotor's in-plane eigenvalues ​​and the rotor's out-of-plane eigenvalues ​​form a close eigenvalue arrangement, resulting in unstable vibration. Therefore, changing the shape of the rotor to increase the difference between the rotor's in-plane eigenvalues ​​and the out-of-plane eigenvalues ​​is also an effective countermeasure. When the frequency difference increases, it is more recommended because changing the out-of-plane eigenvalues ​​only requires a smaller-scale shape change than changing the rotor's in-plane eigenvalues. Regarding the frequency sensitivity of the rotor's numerical out-of-plane eigenvalues, it is necessary to consider the impact on heat capacity, thermal strength, and cooling properties before deciding on the change location and size.

[0074] Step 210: Assemble the finite element models of the various parts to generate a brake assembly.

[0075] In the embodiment of the present invention, the finite element models of the various parts after the above-mentioned treatment measures are executed can be assembled to generate a brake assembly.

[0076] Figure 4 A schematic diagram of a brake assembly according to an embodiment of the present invention is shown in FIG. Figure 4 As shown, the various parts that make up the brake assembly include: a back plate, a brake pad, a cylinder body, a cylinder jaw, a rotor and a torque member.

[0077] Step 212: Calculate the complex characteristic value of the brake assembly according to the set friction coefficient.

[0078] In the embodiment of the present invention, the complex eigenvalues ​​include: a first contact stiffness damping matrix, a second contact stiffness damping matrix or a contact stiffness damping matrix.

[0079] In the embodiment of the present invention, step 212 includes:

[0080] Step A1, calculating the friction coefficient according to the obtained static friction coefficient, rotor speed, and vibration speed of the rotor / brake pad disturbance in the X direction by using a first formula.

[0081] In the embodiment of the present invention, the direction of the friction force may be determined by the rotation direction of the rotor.

[0082] Specifically, through the first formula The static friction coefficient, rotor speed, and vibration speed of the rotor / brake pad in the X direction are calculated to generate the friction coefficient. Where μ is the friction coefficient, μ0 is the static friction coefficient, V is the rotor speed, is the vibration velocity of the rotor in the X direction, is the vibration velocity of the brake pad in the X direction.

[0083] Step A2: establishing a first equivalent model of the contact surface mode.

[0084] Figure 5 A first equivalent model schematic diagram provided for an embodiment of the present invention, such as Figure 5 As shown, we can find the distance between two points (point U r and point U p ) is the relationship between the forces acting on the point U. r is a point on the rotor side, point U p is a point on the brake pad side, the friction force is μN, so that it only acts in the X direction, K is used to characterize the elastic coefficient, and C is used to characterize the damping coefficient.

[0085] Step A3: Based on the first equivalent model, the first transmission force and the second transmission force are generated by the second formula according to the friction coefficient, the vibration speed of the rotor / brake pad disturbed in the X direction, the obtained friction force, the spring coefficient, and the damping coefficient.

[0086] In the embodiment of the present invention, Figure 5 As shown, point U r and point U p The force transmitted is the first transmission force (F 1 rI ), the second transmission force (F 1 pI ), the second formula is as follows:

[0087]

[0088] Among them, K X , K Y , K Z , C X , C Y and C Z All taken from Fig. 6A and Figure 6B The value in .

[0089] Fig. 6A A schematic diagram of the relationship between contact surface pressure and spring coefficient provided by an embodiment of the present invention, Figure 6B A schematic diagram of the relationship between the contact surface pressure and the damping coefficient provided by an embodiment of the present invention, such as Fig. 6A and Figure 6B As shown, the spring stiffness in the normal direction is greater than that in the tangential direction, and with respect to the increase in contact surface pressure, the increase rate of the spring stiffness in the normal direction is higher than that in the tangential direction. Although the normal stiffness of NP (black surface coating) ~ SI0C material and NP (black surface coating) ~ FCD material is lower than that of FCA ~ friction material (NP-01), it can be considered that this is the result of the NP material being coated with black. The contact (combination) stiffness is greatly affected by two factors: (1) the material combination of the two contacting parts; and (2) the contact surface pressure. This can be determined by the above Fig. 6A and Figure 6B Get the spring coefficient K and damping coefficient C.

[0090] Step A4: Substitute the first formula into the second formula to obtain a first contact stiffness damping matrix.

[0091] In the embodiment of the present invention, the first contact stiffness damping matrix includes:

[0092]

[0093] Among them, equations (5-b) and (5-c) are obtained by considering the μ-V characteristics of the friction material.

[0094] Step B1: When the geometric structure of the rotor causes the steering force to change, the friction coefficient is divided into the X-direction friction coefficient, the Y-direction friction coefficient and the Z-direction friction coefficient.

[0095] In the embodiment of the present invention, if there are geometric external interference factors such as changes in the thickness of the rotor, the direction of the friction force will change slightly, and a force with a component in the direction of the rotating shaft will be generated.

[0096] Assuming that the friction coefficient μ is constant, Figure 7 A schematic diagram of the coordinate direction of the friction force provided by an embodiment of the present invention, such as Figure 7 As shown, the X direction is the direction of rotor rotation, and the Z direction is the normal direction of the rotor.

[0097] Step B2: Establish a second equivalent model of the contact surface mode.

[0098] Figure 8 A second equivalent model schematic diagram provided by an embodiment of the present invention, such as Figure 7 and Figure 8 As shown, it is assumed that the friction force is inclined at θz on the XY plane and at θy on the ZX plane. Since θz and θy are very small values, it can be approximated that sin(θz)≈θz, cos(θz)≈1, sin(θy)≈θy, cos(θy≈1), and the X-direction component of the friction force is μN, the Y-direction component is μNθz, and the Z-direction component is μNθy.

[0099] Step B3, based on the second equivalent model, generate the third transmission force and the fourth transmission force through the third formula according to the friction coefficient in the X direction, the friction coefficient in the Y direction and the friction coefficient in the Z direction, the vibration speed of the rotor / brake pad disturbed in the X direction, the obtained friction force, the spring coefficient, and the damping coefficient.

[0100] In the embodiment of the present invention, point U r and point U p The force transmitted on the upper part is the third transmission force (F 2 rI ), the fourth transmission force (F 2 pI ), the third formula is as follows:

[0101]

[0102] Step B4: Arrange the second contact stiffness damping matrix according to the third formula.

[0103] In the embodiment of the present invention, the second contact stiffness damping matrix includes:

[0104]

[0105] Among them, equations (7-b) and (7-c) are obtained by considering the influence of the caliper geometric structure (rotor thickness).

[0106] Step C1, generating a contact stiffness damping matrix according to the first contact stiffness damping matrix and the second contact stiffness damping matrix.

[0107] In the embodiment of the present invention, equation 5 (the first contact stiffness damping matrix) and equation 7 (the second contact stiffness damping matrix) are added together to generate a contact stiffness damping matrix.

[0108] In the embodiment of the present invention, the contact stiffness damping matrix includes:

[0109]

[0110] Step 214: Perform brake noise analysis based on the complex eigenvalues.

[0111] In the embodiment of the present invention, the braking noise frequency generated by the rotor rotation can be obtained according to the complex eigenvalue; and the braking noise analysis can be performed according to the braking noise frequency.

[0112] Fig. 9 A schematic diagram of performing brake noise analysis based on complex eigenvalues ​​provided by an embodiment of the present invention, such as Fig. 9 As shown, when μ=0.4, the braking noise frequency generated by the rotor rotation direction at one point in the figure is 11.1 kHz, and the braking noise frequency generated by the rotor rotation direction at another point in the figure is 6.0 kHz.

[0113] In the embodiment of the present invention, the braking force obtained by the dry friction between the rotor and the brake pad can be used for braking. In this solid friction process, changes in friction force will inevitably occur. During braking, the brake pad causes friction vibration in the shear direction together with the braking noise, and its braking noise frequency is also consistent with the braking noise. The friction vibration of the brake pad has a peak in the actual braking noise frequency region and can constitute a 1-degree-of-freedom vibration system. The equivalent mass of the friction vibration is about 10g (the actual test piece mass is 16g). It can be analyzed that only the mass part around the friction surface of the brake pad forms vibration.

[0114] In the embodiment of the present invention, the braking noise can be analyzed by inserting complex eigenvalues ​​(contact stiffness damping matrix) through a structural analysis program (NASTRAN ENBEDED).

[0115] The analysis results of the structural analysis program (NASTRAN) include: the uneven thickness of the rotor (turntable) forms a vibration source, and the results of the brake noise generated by the change in rotational force can be calculated.

[0116] In the embodiment of the present invention, by comparing the results of the above complex eigenvalue analysis with the results of the experimental analysis, if only the analysis is performed through the experiment, the number of experimental eigenvalues ​​obtained is too large, and it is difficult to perform brake noise analysis. The complex eigenvalue can identify unstable modes in multiple eigenvalues.

[0117] In the technical solution provided by the embodiment of the present invention, the finite element models of various parts are assembled to generate a brake assembly; the complex eigenvalues ​​of the brake assembly are calculated according to the set friction coefficient; and the brake noise analysis is performed according to the complex eigenvalues. In the technical solution provided by the embodiment of the present invention, the brake noise analysis can be performed according to the complex eigenvalues ​​calculated according to the set friction coefficient, which reduces the analysis cost of the brake noise, can accurately identify multiple noise sources, and improves the accuracy and efficiency of the brake noise analysis.

[0118] An embodiment of the present invention provides a braking noise analysis device, Fig.10 A schematic diagram of a brake noise analysis device provided by an embodiment of the present invention is shown in FIG. Fig.10 As shown, the device includes: an assembly module 11, a first calculation module 12 and a first analysis module 13.

[0119] The assembly module 11 is used to assemble the finite element models of various parts to generate a brake assembly.

[0120] The first calculation module 12 is used to calculate the complex characteristic value of the brake assembly according to the set friction coefficient.

[0121] The first analysis module 13 is used for performing brake noise analysis according to the complex eigenvalues.

[0122] In the embodiment of the present invention, the complex eigenvalues ​​include a first contact stiffness damping matrix, and the first calculation module 12 is specifically used for:

[0123] Calculate the friction coefficient according to the obtained static friction coefficient, rotor speed, and vibration speed of the rotor / brake pad disturbance in the X direction by using a first formula;

[0124] Establish the first equivalent model of the contact surface mode;

[0125] Based on the first equivalent model, a first transmission force and a second transmission force are generated according to the friction coefficient, the vibration speed of the rotor / brake pad disturbed in the X direction, the obtained friction force, the spring coefficient, and the damping coefficient through a second formula;

[0126] Substituting the first formula into the second formula, a first contact stiffness damping matrix is ​​obtained.

[0127] In the embodiment of the present invention, the complex eigenvalues ​​include a second contact stiffness damping matrix, and the first calculation module 12 is specifically used for:

[0128] When the geometric structure of the rotor causes the steering force to change, the friction coefficient is divided into the friction coefficient in the X direction, the friction coefficient in the Y direction and the friction coefficient in the Z direction;

[0129] Establish the second equivalent model of the contact surface mode;

[0130] Based on the second equivalent model, a third transmission force and a fourth transmission force are generated according to the friction coefficient in the X direction, the friction coefficient in the Y direction and the friction coefficient in the Z direction, the vibration speed of the rotor / brake pad disturbed in the X direction, the obtained friction force, the spring coefficient and the damping coefficient through a third formula;

[0131] The second contact stiffness damping matrix is ​​sorted out according to the third formula.

[0132] In the embodiment of the present invention, the complex eigenvalues ​​include a contact stiffness damping matrix, and the first calculation module 12 is specifically configured to generate the contact stiffness damping matrix according to the first contact stiffness damping matrix and the second contact stiffness damping matrix.

[0133] In the embodiment of the present invention, the first analysis module 13 is specifically configured to obtain the braking noise frequency generated by the rotor rotation according to the complex eigenvalue; and perform braking noise analysis according to the braking noise frequency.

[0134] In the embodiment of the present invention, the device further includes: an establishment module 14 , an input module 15 , a second calculation module 16 and a second analysis module 17 .

[0135] The building module 14 is used to build finite element models of multiple parts;

[0136] The input module 15 is used to input the material coefficient corresponding to each part in the finite element model;

[0137] The second calculation module 16 is used to calculate the characteristic value of each part based on the canonical mode algorithm;

[0138] The second analysis module 17 is used to analyze the brake noise according to the characteristic value of each component and generate a treatment strategy.

[0139] In the embodiment of the present invention, the treatment measures include: changing the thickness of the brake pad back plate, changing the shape of the brake pad opening; changing the spoke thickness distribution of the rotor sliding part, changing the number and shape of ribs; or changing the stiffness of the cylinder body.

[0140] In the technical solution provided by the embodiment of the present invention, the finite element models of various parts are assembled to generate a brake assembly; the complex eigenvalues ​​of the brake assembly are calculated according to the set friction coefficient; and the brake noise analysis is performed according to the complex eigenvalues. In the technical solution provided by the embodiment of the present invention, the brake noise analysis can be performed according to the complex eigenvalues ​​calculated according to the set friction coefficient, which reduces the analysis cost of the brake noise, can accurately identify multiple noise sources, and improves the accuracy and efficiency of the brake noise analysis.

[0141] The brake noise analysis device provided in the embodiment of the present invention can be used to achieve the above Figure 1 or Figure 2 The braking noise analysis method of the present invention can be specifically described in the embodiment of the braking noise analysis method described above, and will not be described again here.

[0142] An embodiment of the present invention provides a storage medium, which includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the steps of the embodiment of the above-mentioned braking noise analysis method. For a specific description, please refer to the embodiment of the above-mentioned braking noise analysis method.

[0143] An embodiment of the present invention provides a computer device, including a memory and a processor, wherein the memory is used to store information including program instructions, and the processor is used to control the execution of the program instructions. When the program instructions are loaded and executed by the processor, the steps of the embodiment of the above-mentioned brake noise analysis method are implemented. For a specific description, please refer to the embodiment of the above-mentioned brake noise analysis method.

[0144] Fig.11 A schematic diagram of a computer device provided by an embodiment of the present invention. Fig.11 As shown, the computer device 20 of this embodiment includes: a processor 21, a memory 22, and a computer program 23 stored in the memory 22 and executable on the processor 21. When the computer program 23 is executed by the processor 21, the method for analyzing braking noise in the embodiment is implemented. To avoid repetition, it is not described one by one here. Alternatively, when the computer program is executed by the processor 21, the functions of each model / unit in the device for analyzing braking noise in the embodiment are implemented. To avoid repetition, it is not described one by one here.

[0145] The computer device 20 includes, but is not limited to, a processor 21 and a memory 22. Those skilled in the art will appreciate that Fig.11 It is only an example of the computer device 20 and does not constitute a limitation of the computer device 20. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the computer device may also include input and output devices, network access devices, buses, etc.

[0146] The processor 21 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0147] The memory 22 may be an internal storage unit of the computer device 20, such as a hard disk or memory of the computer device 20. The memory 22 may also be an external storage device of the computer device 20, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the computer device 20. Further, the memory 22 may also include both an internal storage unit of the computer device 20 and an external storage device. The memory 22 is used to store computer programs and other programs and data required by the computer device. The memory 22 may also be used to temporarily store data that has been output or is to be output.

[0148] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0149] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0150] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0151] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0152] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (Processor) to perform some steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0153] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A brake noise analysis method, characterized in that: include: Assemble the finite element models of each component to generate a brake assembly; Calculating a complex characteristic value of the brake assembly according to a set friction coefficient; A brake noise analysis is performed based on the complex eigenvalues.

2. The method according to claim 1, characterized in that The complex eigenvalues ​​include a first contact stiffness damping matrix, and the complex eigenvalues ​​of the brake assembly are calculated according to the set friction coefficient, including: Calculate the friction coefficient according to the obtained static friction coefficient, rotor speed, and vibration speed of the rotor / brake pad disturbance in the X direction by using a first formula; Establish the first equivalent model of the contact surface mode; Based on the first equivalent model, a first transmission force and a second transmission force are generated according to the friction coefficient, the vibration speed of the rotor / brake pad disturbed in the X direction, the obtained friction force, the spring coefficient, and the damping coefficient through a second formula; Substituting the first formula into the second formula, a first contact stiffness damping matrix is ​​obtained.

3. The method according to claim 2, characterized in that The complex eigenvalues ​​include a second contact stiffness damping matrix, and the complex eigenvalues ​​of the brake assembly are calculated according to the set friction coefficient, including: When the geometric structure of the rotor causes the steering force to change, the friction coefficient is divided into the friction coefficient in the X direction, the friction coefficient in the Y direction and the friction coefficient in the Z direction; Establish the second equivalent model of the contact surface mode; Based on the second equivalent model, a third transmission force and a fourth transmission force are generated according to the friction coefficient in the X direction, the friction coefficient in the Y direction and the friction coefficient in the Z direction, the vibration speed of the rotor / brake pad disturbed in the X direction, the obtained friction force, the spring coefficient and the damping coefficient through a third formula; The second contact stiffness damping matrix is ​​sorted out according to the third formula.

4. The method according to claim 3, characterized in that: The complex eigenvalues ​​include a contact stiffness damping matrix, and the complex eigenvalues ​​of the brake assembly are calculated according to the set friction coefficient, including: The contact stiffness damping matrix is ​​generated according to the first contact stiffness damping matrix and the second contact stiffness damping matrix.

5. The method according to claim 1, characterized in that The performing brake noise analysis according to the complex eigenvalues ​​comprises: Acquire the braking noise frequency generated by the rotor rotation according to the complex eigenvalue; A brake noise analysis is performed according to the brake noise frequency.

6. The method according to claim 1, characterized in that Before assembling the finite element models of the various parts to generate the brake assembly, the process includes: Create finite element models of multiple parts; Enter the material coefficients corresponding to each part in the finite element model; Calculate the eigenvalues ​​of each part based on the canonical mode algorithm; Brake noise analysis is performed based on the characteristic values ​​of each part, and treatment countermeasures are generated.

7. The method according to claim 6, characterized in that The treatment measures include: changing the thickness of the brake pad back plate, changing the shape of the brake pad opening; changing the spoke thickness distribution of the rotor sliding part, changing the number and shape of ribs; or changing the rigidity of the cylinder body.

8. A braking noise analysis device, characterized in that: include: The assembly module is used to assemble the finite element models of various parts to generate a brake assembly; A first calculation module, used for calculating a complex characteristic value of the brake assembly according to a set friction coefficient; The first analysis module is used to perform brake noise analysis according to the complex eigenvalues.

9. A storage medium, characterized in that: The storage medium includes a stored program, wherein when the program is executed, the device where the storage medium is located is controlled to execute the brake noise analysis method according to any one of claims 1 to 7.

10. A computer device comprising a memory and a processor, wherein the memory is used to store information including program instructions, and the processor is used to control the execution of the program instructions, characterized in that: When the program instructions are loaded and executed by the processor, the steps of the brake noise analysis method according to any one of claims 1 to 7 are implemented.