Vibration noise optimization method, device and equipment of reduction gearbox assembly and storage medium

Abstract

The invention discloses a vibration noise optimization method and device for a reduction gearbox assembly, equipment and a storage medium, and relates to the technical field of vehicle power, and the method comprises the steps: constructing a reduction gearbox assembly simulation model according to a simulation parameter summary table of the reduction gearbox assembly in a design stage of the reduction gearbox assembly; the boundary conditions of the reduction gearbox assembly simulation model and the boundary conditions of the rack are subjected to benchmarking to be consistent; after the benchmarking is consistent, determining a risk frequency point of the vibration response of the reduction gearbox assembly through the reduction gearbox assembly simulation model; and optimizing the reduction gearbox assembly according to the risk frequency point. Due to the fact that the reduction gearbox assembly simulation model is constructed according to the simulation parameter summary table in the design stage of the reduction gearbox assembly, the risk frequency points, related to vibration and noise, of the reduction gearbox assembly can be rapidly and accurately predicted in the design stage according to the model, and a basis is provided for effective optimization design of the reduction gearbox assembly. And the dependence on the experiment test is reduced, so that the development period is shortened.

Description

Technical Field

[0001] The present application relates to the technical field of vehicle power, and particularly to a vibration and noise optimization method, device, equipment and storage medium for a speed reducer assembly. Background Art

[0002] With the development of new energy technologies, hybrid vehicles have become the mainstay of the vehicle market. The powertrain of existing hybrid vehicles includes an engine, a speed reducer, a generator, a drive motor, a battery and a clutch. Among them, the function of the speed reducer assembly is to reduce the speed of the input shaft and increase the torque of the output shaft, realizing the conversion of speed and torque to meet the requirements of different working scenarios and equipment. When the vehicle gear and output torque change, the components of the speed reducer assembly will generate vibrations. When the amplitude is large, they will collide with other components, causing cabin noise and seriously affecting the driving experience.

[0003] Therefore, in order to reduce the noise of the speed reducer assembly, the existing method is to evaluate the speed reducer assembly through experimental testing methods. However, this evaluation method generally only simply judges the magnitude of the vibration response, has a long time cycle, and it is difficult to discover and effectively solve potential vibration and noise problems of the speed reducer assembly in the initial stage of the design and development of the speed reducer assembly. Summary of the Invention

[0004] The main purpose of the present application is to provide a vibration and noise optimization method, device, equipment and storage medium for a speed reducer assembly, aiming to solve the technical problem that the evaluation method generally only simply judges the magnitude of the vibration response, has a long time cycle, and it is difficult to discover and effectively solve potential vibration and noise of the speed reducer assembly in the initial stage of the design and development of the speed reducer assembly.

[0005] To achieve the above object, the present application proposes a vibration and noise optimization method for a speed reducer assembly, the method comprising:

[0006] In the design stage of the speed reducer assembly, a speed reducer assembly simulation model is constructed according to the simulation parameter summary table of the speed reducer assembly;

[0007] The boundary conditions of the speed reducer assembly simulation model are aligned with the boundary conditions of the test bench;

[0008] After the boundary conditions are aligned, the risk frequency points of the vibration response of the speed reducer assembly are determined through the speed reducer assembly simulation model;

[0009] The speed reducer assembly is optimized according to the risk frequency points.

[0010] In an embodiment, the step of determining the risk frequency points of the vibration response of the speed reducer assembly through the speed reducer assembly simulation model after the boundary conditions are aligned includes:

[0011] Obtain the vibration response curve of the key points on the housing in the reducer assembly under typical working conditions;

[0012] After aligning the boundary conditions, determine the preset assessment target values for the vibration and noise performance of the reducer assembly;

[0013] Based on the assessment target values, conduct a response evaluation on the vibration response curve through the simulation model of the reducer assembly to determine the risk frequency points of the vibration response of the reducer assembly.

[0014] In one embodiment, the step of optimizing the reducer assembly according to the risk frequency points includes:

[0015] Obtain the meshing stiffness curve of the gears in the reducer assembly and determine the peak frequency of the meshing stiffness curve;

[0016] Determine the risk frequency of the risk frequency points of the vibration response;

[0017] Judge whether the frequency difference between the risk frequency and the peak frequency reaches a preset threshold;

[0018] When the frequency difference does not reach the preset threshold, determine that the optimization direction of the reducer assembly is the gear shaft;

[0019] Optimize the risk frequency points of the reducer assembly according to the working vibration mode of the gears on the gear shaft.

[0020] In one embodiment, after the step of judging whether the frequency difference between the risk frequency and the peak frequency reaches a preset threshold, it further includes:

[0021] When the frequency difference reaches the preset threshold, determine that the optimization direction of the reducer assembly is the housing;

[0022] Obtain the working vibration mode corresponding to the housing;

[0023] Based on the working vibration mode of the housing, optimize the risk frequency points of the reducer assembly.

[0024] In one embodiment, the step of aligning the boundary conditions of the simulation model of the reducer assembly with the boundary conditions of the test bench includes:

[0025] In the design stage, obtain the boundary conditions corresponding to the test bench or vehicle test associated with the reducer assembly;

[0026] Input the boundary conditions corresponding to the bench or vehicle test into the reduction gearbox assembly simulation model, so that the boundary conditions of the reduction gearbox assembly simulation model are aligned with the boundary conditions corresponding to the bench or vehicle test.

[0027] In one embodiment, in the design stage of the reduction gearbox assembly, the steps of constructing a reduction gearbox assembly simulation model according to the simulation parameter summary table of the reduction gearbox assembly include:

[0028] In the design stage of the reduction gearbox assembly, collect the equipment parameters of the reduction gearbox assembly;

[0029] According to the equipment parameters, make a simulation parameter summary table for the reduction gearbox assembly for simulation;

[0030] Based on the simulation parameter summary table, perform simulation modeling on the reduction gearbox assembly through a simulation tool to obtain a reduction gearbox assembly simulation model.

[0031] In addition, to achieve the above object, the present application also proposes a vibration and noise optimization device for a reduction gearbox assembly, and the device includes:

[0032] A model construction module, configured to construct a reduction gearbox assembly simulation model according to the simulation parameter summary table of the reduction gearbox assembly in the design stage of the reduction gearbox assembly;

[0033] A boundary alignment module, configured to align the boundary conditions of the reduction gearbox assembly simulation model with the boundary conditions of the bench;

[0034] A risk frequency module, configured to determine the risk frequency points of the vibration response of the reduction gearbox assembly through the reduction gearbox assembly simulation model after the boundary conditions are aligned;

[0035] A vibration optimization module, configured to optimize the reduction gearbox assembly according to the risk frequency points.

[0036] In addition, to achieve the above object, the present application also proposes a vibration and noise optimization device for a reduction gearbox assembly, and the device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the computer program is configured to implement the steps of the vibration and noise optimization method for the reduction gearbox assembly as described above.

[0037] In addition, to achieve the above object, the present application also proposes a storage medium, the storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed by a processor, it implements the steps of the vibration and noise optimization method for the reduction gearbox assembly as described above.

[0038] In addition, to achieve the above object, the present application further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the steps of the vibration and noise optimization method for the speed reducer assembly as described above.

[0039] One or more technical solutions proposed by the present application have at least the following technical effects: The vibration and noise optimization method for the speed reducer assembly of the present application includes: during the design stage of the speed reducer assembly, constructing a speed reducer assembly simulation model according to the simulation parameter summary table of the speed reducer assembly; aligning the boundary conditions of the speed reducer assembly simulation model with the boundary conditions of the test bench; after the boundary conditions are aligned, determining the risk frequency points of the vibration response of the speed reducer assembly through the speed reducer assembly simulation model; and optimizing the speed reducer assembly according to the risk frequency points.

[0040] Since the present application first constructs a speed reducer assembly simulation model according to the simulation parameter summary table during the design stage of the speed reducer assembly. After aligning the boundary conditions of the speed reducer assembly simulation model with those of the test bench, the risk frequency points of the vibration response of the speed reducer assembly can be determined based on the model, so as to optimize the speed reducer assembly during the design stage according to the risk frequency points. Thus, it is possible to quickly and accurately predict the risk frequency points related to vibration and noise of the speed reducer assembly during the design stage, providing a basis for the effective optimization design of the speed reducer assembly. Reducing the dependence on test and measurement, thereby shortening the development cycle and reducing the development cost. Description of the Drawings

[0041] The drawings herein are incorporated into the specification and form a part of the specification, showing embodiments consistent with the present application and used together with the specification to explain the principles of the present application.

[0042] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0043] Figure 1 It is a schematic flowchart provided for Embodiment 1 of the vibration and noise optimization method for the speed reducer assembly of the present application;

[0044] Figure 2 It is the vibration response curve of the key points of the housing provided for Embodiment 1 of the present application;

[0045] Figure 3 It is the meshing stiffness curve provided for Embodiment 1 of the present application;

[0046] Figure 4The working vibration mode of the gear shaft provided in the first embodiment of the present application;

[0047] Figure 5 The working vibration mode of the housing provided in the first embodiment of the present application;

[0048] Figure 6 The schematic flow chart provided in the second embodiment of the vibration and noise optimization method of the speed reducer assembly of the present application;

[0049] Figure 7 The overall optimization flow chart provided in the second embodiment of the present application;

[0050] Figure 8 The schematic module structure diagram of the vibration and noise optimization device of the speed reducer assembly in the embodiment of the present application;

[0051] Figure 9 The schematic device structure diagram of the hardware operating environment involved in the vibration and noise optimization method of the speed reducer assembly in the embodiment of the present application.

[0052] The realization of the purpose of the present application, functional features and advantages will be further described with reference to the embodiments and the accompanying drawings. Detailed implementation manners

[0053] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0054] In order to better understand the technical solutions of the present application, the following will be described in detail in conjunction with the accompanying drawings of the specification and the specific implementation manners.

[0055] It should be noted that the execution subject of this embodiment can be a computing service device with functions of model construction, vibration evaluation, and design optimization, such as a personal computer, a server, etc., or an electronic device capable of implementing the above functions, a vibration and noise optimization device of the speed reducer assembly for implementing the vibration and noise optimization method of the speed reducer assembly of the present application (abbreviated as the optimization device), etc. This embodiment does not limit this. The following takes the optimization device as an example to illustrate this embodiment and the following embodiments.

[0056] Based on this, the first embodiment of the present application is proposed. The first embodiment of the present application provides a vibration and noise optimization method for a speed reducer assembly, referring to Figure 1 , Figure 1 The schematic flow chart provided in the first embodiment of the vibration and noise optimization method of the speed reducer assembly of the present application.

[0057] In this embodiment, the vibration and noise optimization method for the speed reducer assembly includes steps S10 to S40:

[0058] Step S10: During the design stage of the gearbox assembly, construct a gearbox assembly simulation model based on the simulation parameter summary table of the gearbox assembly.

[0059] It should be noted that the gearbox assembly refers to an integral component composed of a gearbox and related auxiliary components, which may include key components such as gears, shafts, and bearings. The gearbox assembly can achieve the deceleration function through different gear combinations (such as cylindrical gears, bevel gears, etc.) or transmission mechanisms such as worm gears.

[0060] It can be understood that the simulation parameter summary table can be a table of various parameters involved in the simulation modeling of the gearbox assembly. It may include geometric parameters, material parameters, dynamic parameters, etc. of the gearbox assembly, and this embodiment does not limit this.

[0061] Based on the various parameters in the above simulation parameter summary table, use simulation software (such as ANSYS, ADAMS, etc.) to create a virtual model (i.e., the gearbox assembly simulation model) that can simulate the overall structure and working state of the gearbox assembly.

[0062] By constructing the gearbox assembly simulation model, the performance of the gearbox assembly can be analyzed and predicted in advance without actual manufacturing and testing (i.e., during the design stage). Thus, the design scheme can be optimized in advance, the development cost can be reduced, and the development cycle can be shortened.

[0063] In specific implementation, during the design stage of the gearbox assembly, the optimization device first obtains the simulation parameter summary table of various parameters involved in the simulation modeling. Then, based on this simulation parameter summary table, use simulation software to create a gearbox assembly simulation model that can simulate the overall structure and working state of the gearbox assembly.

[0064] Step S20: Align the boundary conditions of the gearbox assembly simulation model with the boundary conditions of the test bench.

[0065] It should be noted that the test bench can be a device used for testing, experimenting, or simulating actual working conditions during the design stage of the gearbox assembly.

[0066] It can be understood that the boundary conditions can be external limiting conditions that affect the design of the gearbox assembly. By aligning the boundary conditions of the gearbox assembly simulation model with the boundary conditions of the test bench test, the accuracy and effectiveness of the test results of the gearbox assembly simulation model can be ensured.

[0067] In specific implementation, after constructing the above gearbox assembly simulation model, it is also necessary to align the boundary conditions of the gearbox assembly simulation model with the boundary conditions of the test bench to ensure the accuracy of the test results of the gearbox assembly simulation model.

[0068] Step S30: After the boundary conditions are aligned, determine the risk frequency points of the vibration response of the speed reducer assembly through the simulation model of the speed reducer assembly.

[0069] It should be noted that when the speed reducer assembly is working, vibrations will be generated due to the operation of internal components (such as gear meshing, shaft rotation, etc.). The vibration response refers to the vibration characteristics shown by the speed reducer assembly when subjected to various excitations (such as torque fluctuations of the input shaft, gear meshing errors, etc.), including the amplitude, frequency, phase, etc. of the vibration.

[0070] The risk frequency points can be specific frequencies in the vibration response of the speed reducer assembly that may lead to adverse consequences (such as structural damage, excessive noise, reduced reliability, etc.).

[0071] Through the simulation of the above-mentioned speed reducer assembly simulation model, these risk frequency points can be determined to identify in advance the factors affecting the vibration of the speed reducer assembly during the design stage.

[0072] In a specific implementation, after aligning the above-mentioned boundary conditions, at this time, the optimization device simulates the working state of the speed reducer assembly through the speed reducer assembly simulation model, so as to output the vibration response shown by the speed reducer assembly when subjected to various excitations, and then based on this vibration response, the risk frequency points that may lead to adverse consequences (such as structural damage, excessive noise, reduced reliability, etc.) of the speed reducer assembly can be determined.

[0073] In a feasible implementation manner, step S30 of this embodiment may include the steps of: obtaining the vibration response curve of the key points on the housing of the speed reducer assembly under typical working conditions; after the boundary conditions are aligned, determining the preset assessment target values of the vibration and noise performance of the speed reducer assembly; based on the assessment target values, evaluating the response of the vibration response curve through the speed reducer assembly simulation model to determine the risk frequency points of the vibration response of the speed reducer assembly.

[0074] It should be noted that the housing of the speed reducer plays a role in accommodating and protecting internal components such as gears, shafts, and bearings, and will affect the performance of the entire speed reducer assembly (including vibration characteristics).

[0075] The key points on the housing can be points on the housing that have a greater impact on the vibration of the speed reducer assembly. Exemplarily, for example, at the mounting feet of the speed reducer, the vibration at this point may be transmitted to other connected devices; such as the surface of the housing near the gear meshing, due to the operation of the gears, a large excitation force will be generated, which may cause the housing at this part to vibrate greatly; or other key points on the housing, which are not limited in this embodiment.

[0076] Therefore, by obtaining the vibration response curves of the key points of the housing under different excitation conditions with the change of frequency, it is helpful for the subsequent simulation model of the speed reducer assembly to analyze the risk frequency points.

[0077] Exemplarily, for the sake of understanding, reference is made to Figure 2 , Figure 2 which is the vibration response curve of the key points of the housing provided in the first embodiment of the present application. As Figure 2 shown, each curve in the figure represents the displacement of each different key point of the housing at different response frequencies. The abscissa of this curve represents the response frequency (such as 1000.0Hz, 2000.0Hz, 3000.0Hz, 4000.0Hz, 5000.0Hz), and the ordinate represents the displacement of the key point of the housing (such as 0.0e+0um, 1.0e+1um, 2.0e+1um, 3.0e+1um). Through this vibration response curve graph, it can be known that the displacement (i.e., vibration) of the key points of the housing is stronger at 506Hz, 859Hz, 1314Hz, and 2027Hz.

[0078] It can be understood that the assessment target value can be the maximum vibration displacement amount allowed for the key points of the upper housing of the speed reducer assembly with the above-mentioned displacement as the index. For example, within plus or minus 0.05mm or 0.1mm, which can be determined according to the usage requirements of the speed reducer, and this embodiment does not limit this.

[0079] For example, if the vibration displacement amount obtained after the simulation model of the speed reducer assembly evaluates the vibration response curve exceeds the assessment target value, it indicates that the design of the key point of the housing of the speed reducer assembly is unreasonable and needs to be optimized.

[0080] In this embodiment, the optimization device can first obtain the vibration response curves of the key points of the housing in the speed reducer assembly under different excitation conditions with the change of frequency under typical working conditions. Then, after the boundary conditions are aligned, the assessment target values of the vibration and noise performance of the speed reducer assembly are determined according to the usage requirements of the speed reducer. Finally, the vibration response curve is evaluated through the above-mentioned simulation model of the speed reducer assembly. If the vibration displacement amount obtained after the evaluation exceeds the assessment target value, it indicates that the design of the key point of the housing of the speed reducer assembly is unreasonable, and it is determined as the risk frequency point of the vibration response of the speed reducer assembly. Thus, through the vibration response curve, the simulation model of the speed reducer assembly can accurately analyze the risk frequency point.

[0081] Step S40: Optimize the speed reducer assembly according to the risk frequency point.

[0082] In a specific implementation, when determining the above risk frequency points, the area to be optimized with a greater impact on the vibration response of the speed reducer assembly can be determined. In this way, the speed reducer assembly can be optimized according to the determined area to be optimized, thereby providing a basis for effective optimization in the design stage.

[0083] In a feasible implementation manner, step S40 of this embodiment may include the steps of: obtaining the meshing stiffness curve of the gears in the speed reducer assembly and determining the peak frequency of the meshing stiffness curve; determining the risk frequency of the risk frequency point of the vibration response; judging whether the frequency difference between the risk frequency and the peak frequency reaches a preset threshold; when the frequency difference does not reach the preset threshold, determining that the optimization direction of the speed reducer assembly is the gear shaft; and optimizing the risk frequency point of the speed reducer assembly according to the working vibration mode of the gears on the gear shaft.

[0084] It should be noted that in a speed reducer, the meshing stiffness of gears is the ability of a pair of meshing gears to resist deformation when transmitting load. When gears mesh with each other, the teeth will undergo a certain degree of elastic deformation and vibration will also occur. The meshing stiffness curve can be a curve reflecting the change of meshing stiffness in different meshing stages.

[0085] Among them, the peak frequency can be the response frequency corresponding to the peak with stronger stiffness of the meshing stiffness curve at different response frequencies.

[0086] Exemplarily, for ease of understanding, refer to Figure 3 , Figure 3 which is the meshing stiffness curve provided in Embodiment 1 of this application. As Figure 3 shown, each curve in the figure represents the stiffness of the gear at different response frequencies. The abscissa of this curve represents the response frequency (such as 0Hz, 1000.0Hz, 2000.0Hz, 3000.0Hz, 4000.0Hz, 5000.0Hz), and the ordinate represents the stiffness of the gear (such as 0.0e+0N / mm, 2.0e+5N / mm, 4.0e+5N / mm, 6.0e+5N / mm, 8.0e+5N / mm, 1.0e+6N / mm, 1.2e+6N / mm). Through this meshing stiffness curve, it can be known that the stiffness of the gear is stronger, that is, the vibration is stronger, at 849Hz, 1311Hz, 1849Hz, and 2028Hz.

[0087] It can be understood that the risk frequency can be the response frequency corresponding to the stronger vibration occurring at the above risk frequency point. The preset threshold can be a value preset in the optimization device for judging whether the influence of the gear shaft on the vibration response of the speed reducer assembly is large. The risk frequency is close to the peak frequency of the above meshing stiffness curve, indicating that the influence of the gear shaft on the vibration response of the speed reducer assembly is large at this frequency, and the optimization direction is the gear shaft.

[0088] After determining that the optimization direction is the gear shaft, the vibration mode of the gear in the working state can be obtained (i.e., the working vibration mode of the gear. Because when the gear is excited, such as the periodic change of the meshing force, external interference force, etc., vibration will occur, and this vibration is a specific vibration mode. For the sake of understanding, refer to Figure 4 , Figure 4 which is the working vibration mode of the gear shaft provided in the first embodiment of the present application. The meshing between the gears will generate a specific vibration mode), and the speed reducer assembly is optimized according to this vibration mode.

[0089] In this embodiment, after determining the above risk frequency points, the optimization device first obtains the meshing stiffness curve of the gears in the speed reducer assembly and the peak frequency of this meshing stiffness curve. Then, the risk frequency of the risk frequency point of the above vibration response is extracted. Next, it is judged whether the frequency difference between this risk frequency and this peak frequency reaches a preset threshold; if the frequency difference does not reach the preset threshold, it means that the risk frequency is close to the peak frequency of the above meshing stiffness curve, and at this frequency, the gear shaft has a greater impact on the vibration response of the speed reducer assembly. At this time, it can be determined that the optimization direction of the speed reducer assembly is the gear shaft. Finally, the working vibration mode of the gear in the working state can be obtained, and the risk frequency points of the speed reducer assembly are optimized based on this working vibration mode of the gear. Thus, through the analysis of the meshing stiffness curve, the vibration characteristics of the gear during the meshing process can be predicted, and then the design parameters of the gear can be optimized to reduce vibration and noise and improve the working performance of the speed reducer.

[0090] In another feasible embodiment, after the step of judging whether the frequency difference between the risk frequency and the peak frequency reaches a preset threshold in this embodiment, it further includes: when the frequency difference reaches the preset threshold, determining that the optimization direction of the speed reducer assembly is the housing; obtaining the working vibration mode of the housing corresponding to the housing; and optimizing the risk frequency points of the speed reducer assembly based on the working vibration mode of the housing.

[0091] It should be noted that the working vibration mode of the housing can be the vibration form presented by the housing of the speed reducer when it is subjected to external excitation (such as the vibration transmission of internal components, external vibration interference, etc.), which reflects the vibration mode of the housing at different frequencies. Exemplarily, for the sake of understanding, refer to Figure 5 , Figure 5 which is the working vibration mode of the housing provided in the first embodiment of the present application. The housing will generate a specific vibration mode when it is subjected to external excitation.

[0092] In this embodiment, if the above frequency difference reaches a preset threshold, it indicates that the risk frequency is far from the peak frequency of the above meshing stiffness curve, which means that the influence of the housing on the vibration response of the speed reducer assembly is relatively large at this frequency. At this time, it can be determined that the optimization direction of the speed reducer assembly is the housing. Then, the working vibration mode of the housing in the working state can be obtained, and the risk frequency points of the speed reducer assembly can be optimized based on this working vibration mode of the housing. Through the above comparison, it can be predicted whether the gear or the housing has a greater influence on the vibration response of the speed reducer assembly, so that the speed reducer assembly can be optimized in advance during the design stage, reducing vibration and noise.

[0093] In the technical solution provided in this embodiment, when in the design stage of the speed reducer assembly, the optimization device first obtains a summary table of simulation parameters for various parameters involved in simulation modeling. Then, according to this summary table of simulation parameters, a simulation model of the speed reducer assembly is created using simulation software, which can simulate the overall structure and working state of the speed reducer assembly. After the simulation model of the speed reducer assembly is constructed, it is also necessary to align the boundary conditions of the simulation model of the speed reducer assembly with the boundary conditions of the test bench to ensure the accuracy of the test results of the simulation model of the speed reducer assembly. Then, the working state of the speed reducer assembly is simulated through the simulation model of the speed reducer assembly, so that the vibration response shown by the speed reducer assembly when subjected to various excitations can be output. Then, based on this vibration response, the risk frequency points that may cause adverse consequences (such as structural damage, excessive noise, reduced reliability, etc.) of the speed reducer assembly can be determined. Through this risk frequency point, the area to be optimized with a greater influence on the vibration response of the speed reducer assembly can be determined, so that the speed reducer assembly can be optimized according to the determined area to be optimized, providing a basis for effective optimization during the design stage. Since in this embodiment, first in the design stage of the speed reducer assembly, a simulation model of the speed reducer assembly is constructed according to the summary table of simulation parameters. After aligning the boundary conditions of the simulation model of the speed reducer assembly with the boundary conditions of the test bench, the risk frequency points of the vibration response of the speed reducer assembly can be determined according to the model, so as to optimize the speed reducer assembly during the design stage according to the risk frequency points. Thus, it is possible to quickly and accurately predict the risk frequency points related to vibration and noise of the speed reducer assembly during the design stage, providing a basis for the effective optimization design of the speed reducer assembly. Reducing the dependence on experimental tests, thereby shortening the development cycle and reducing the development cost.

[0094] Based on the above Embodiment 1 of the present application, Embodiment 2 of the present application is proposed. In the second embodiment of the present application, the same or similar content as that in the above Embodiment 1 can be referred to the above introduction and will not be repeated hereinafter. On this basis, please refer to Figure 6 , Figure 6 which is a schematic flow chart provided for Embodiment 2 of the vibration and noise optimization method of the speed reducer assembly of the present application.

[0095] Step S10 of this example includes steps S11 to S13:

[0096] Step S11: During the design stage of the speed reducer assembly, collect the equipment parameters of the speed reducer assembly.

[0097] It should be noted that the equipment parameters are parameters related to the construction of the speed reducer assembly model, such as model information, gear macroscopic parameters, gear microscopic parameters, bearing information, lubricating oil information, material information, analysis working conditions, etc.

[0098] Step S12: According to the equipment parameters, make a summary table of simulation parameters for the speed reducer assembly for simulation.

[0099] Step S13: Based on the summary table of simulation parameters, perform simulation modeling on the speed reducer assembly through a simulation tool to obtain a speed reducer assembly simulation model.

[0100] In this embodiment, during the design stage of the speed reducer assembly, the optimization equipment can pre-collect the equipment parameters of the speed reducer assembly, such as model information, gear macroscopic parameters, gear microscopic parameters, bearing information, lubricating oil information, material information, analysis working conditions, etc. Then, the above equipment parameters are made into a summary table of simulation parameters for simulation. Finally, the summary table of simulation parameters is input into the simulation tool, and a speed reducer assembly simulation model for subsequent structural optimization can be constructed.

[0101] Further, step S20 of this example includes steps: During the design stage, obtain the boundary conditions corresponding to the bench or vehicle test associated with the speed reducer assembly; input the boundary conditions corresponding to the bench or vehicle test into the speed reducer assembly simulation model so that the boundary conditions of the speed reducer assembly simulation model are consistent with the boundary conditions corresponding to the bench or vehicle test.

[0102] In this embodiment, after the speed reducer assembly simulation model is constructed, the speed reducer assembly simulation model needs to be verified. At this time, the optimization equipment can obtain the boundary conditions that affect the design of the speed reducer assembly corresponding to the bench or vehicle test associated with the speed reducer assembly. Then, the boundary conditions are input into the speed reducer assembly simulation model to make the speed reducer assembly simulation model consistent with the bench or vehicle test, so as to ensure the accuracy of the subsequent analysis of the speed reducer assembly simulation model and the vibration and noise performance analysis under the bench or vehicle state.

[0103] Exemplarily, to help understand the implementation process of the vibration and noise optimization method of the speed reducer assembly obtained by combining the above-mentioned Embodiment 1 and Embodiment 2 of this embodiment, please refer to Figure 7 , Figure 7 which is the overall optimization flowchart provided by Embodiment 2 of this application. Specifically:

[0104] 1. First, sort out the parameters for the simulation analysis of the reducer assembly and create a summary table of simulation parameters.

[0105] 2. Then, use the simulation tool to build a simulation model of the reducer assembly based on the above summary table of simulation parameters.

[0106] 3. Next, compare with the boundary conditions set in the bench or vehicle test to check the simulation model of the reducer assembly; make the boundary conditions of the simulation model consistent with those of the bench or vehicle test, with the aim of analyzing the vibration and noise performance of the reducer assembly under bench or vehicle conditions.

[0107] 4. Conduct a working condition analysis of the vibration and noise performance of the reducer assembly through this simulation model under typical working conditions. First, obtain the vibration response curve of the key points on the housing under typical working conditions, as Figure 2 shown, evaluate the vibration response results in combination with the assessment target values, and mark the potential risk frequency points. Then, obtain the meshing stiffness curve of the gears and mark the peak frequencies in the meshing stiffness curve, as Figure 3 shown. Compare the risk frequencies of the vibration response with the peak frequencies of the meshing stiffness curve. If there are similar frequencies, it indicates that the tooth shaft contributes more to the system vibration response at this frequency, and the optimization direction is determined to be the tooth shaft; if the risk frequencies of the vibration response are different from the peak frequencies of the meshing stiffness, it indicates that the housing has a greater impact on the system vibration response, and the optimization direction is determined to be the housing.

[0108] 5. Finally, evaluate and optimize the existing risk frequency points, and conduct further optimization design in combination with the working deformation vibration modes of the above-mentioned tooth shaft or housing.

[0109] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the vibration and noise optimization method of the reducer assembly of this application. Based on this technical concept, more forms of simple transformations are within the protection scope of this application.

[0110] This application also provides a vibration and noise optimization device for a reducer assembly. Please refer to Figure 8 , Figure 8 which is the schematic diagram of the module structure of the vibration and noise optimization device for the reducer assembly in the embodiment of this application; the vibration and noise optimization device for the reducer assembly includes:

[0111] A model construction module 801, which is used to construct a simulation model of the reducer assembly according to the summary table of simulation parameters of the reducer assembly during the design stage of the reducer assembly;

[0112] A boundary comparison module 802, which is used to make the boundary conditions of the simulation model of the reducer assembly consistent with the boundary conditions of the bench;

[0113] A risk frequency module 803, configured to determine risk frequency points of the vibration response of the speed reducer assembly through the speed reducer assembly simulation model after the boundary conditions are aligned;

[0114] A vibration optimization module 804, configured to optimize the speed reducer assembly according to the risk frequency points.

[0115] As an implementation manner, the risk frequency module 803 is further configured to obtain a vibration response curve of key points on the housing in the speed reducer assembly under typical working conditions; determine a preset assessment target value for the vibration and noise performance of the speed reducer assembly after the boundary conditions are aligned; based on the assessment target value, perform response evaluation on the vibration response curve through the speed reducer assembly simulation model to determine the risk frequency points of the vibration response of the speed reducer assembly.

[0116] As an implementation manner, the vibration optimization module 804 is further configured to obtain a meshing stiffness curve of the gears in the speed reducer assembly and determine the peak frequency of the meshing stiffness curve; determine the risk frequency of the risk frequency points of the vibration response; determine whether the frequency difference between the risk frequency and the peak frequency reaches a preset threshold; when the frequency difference does not reach the preset threshold, determine that the optimization direction of the speed reducer assembly is the gear shaft; optimize the risk frequency points of the speed reducer assembly according to the working vibration mode of the gears on the gear shaft.

[0117] As an implementation manner, the vibration optimization module 804 is further configured to, when the frequency difference reaches the preset threshold, determine that the optimization direction of the speed reducer assembly is the housing; obtain the working vibration mode of the housing corresponding to the housing; based on the working vibration mode of the housing, optimize the risk frequency points of the speed reducer assembly.

[0118] As an implementation manner, the boundary alignment module 802 is further configured to, in the design stage, obtain boundary conditions corresponding to a test bench or a whole vehicle test associated with the speed reducer assembly; input the boundary conditions corresponding to the test bench or the whole vehicle test into the speed reducer assembly simulation model so that the boundary conditions of the speed reducer assembly simulation model are aligned with the boundary conditions corresponding to the test bench or the whole vehicle test.

[0119] As an implementation manner, the model construction module 801 is further configured to, in the design stage of the speed reducer assembly, collect equipment parameters of the speed reducer assembly; make a summary table of simulation parameters for the speed reducer assembly for simulation according to the equipment parameters; based on the summary table of simulation parameters, perform simulation modeling on the speed reducer assembly through a simulation tool to obtain a speed reducer assembly simulation model.

[0120] Other embodiments or specific implementation manners of the vibration and noise optimization device of the speed reducer assembly in this application can refer to the above method embodiments, and will not be elaborated here.

[0121] The vibration and noise optimization device of the speed reducer assembly provided in this application adopts the vibration and noise optimization method of the speed reducer assembly in the above embodiment, and can solve the technical problems that the evaluation method generally only simply judges the magnitude of the vibration response, has a long time period, and it is difficult to discover and effectively solve the potential vibration and noise of the speed reducer assembly at the initial stage of the design and development of the speed reducer assembly. Compared with the prior art, the beneficial effects of the vibration and noise optimization device of the speed reducer assembly provided in this application are the same as those of the vibration and noise optimization method of the speed reducer assembly provided in the above embodiment, and other technical features in the vibration and noise optimization device of the speed reducer assembly are the same as the features disclosed in the above embodiment method, and will not be elaborated here.

[0122] This application provides a vibration and noise optimization device for a speed reducer assembly. The vibration and noise optimization device for a speed reducer assembly includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the vibration and noise optimization method of the speed reducer assembly in the first embodiment above.

[0123] Next, refer to Figure 9 , Figure 9 is a schematic structural diagram of a device for the hardware operating environment involved in the vibration and noise optimization method of the speed reducer assembly in the embodiment of this application, which shows a schematic structural diagram of a device suitable for implementing the vibration and noise optimization device of the speed reducer assembly in the embodiment of this application. The vibration and noise optimization device of the speed reducer assembly in the embodiment of this application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 9 The vibration and noise optimization device of the speed reducer assembly shown is only an example, and should not bring any limitation to the functions and usage scope of the embodiments of this application.

[0124] As Figure 9As shown, the vibration and noise optimization device for the speed reducer assembly may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 into the random access memory (RAM: Random Access Memory) 1004. In the RAM 1004, various programs and data required for the operation of the vibration and noise optimization device for the speed reducer assembly are also stored. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the vibration and noise optimization device for the speed reducer assembly to communicate with other devices wirelessly or wiredly to exchange data. Although the figure shows a vibration and noise optimization device for the speed reducer assembly with various systems, it should be understood that it is not required to implement or have all the shown systems. More or fewer systems can be implemented or had alternatively.

[0125] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device, or installed from the storage device 1003, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above functions defined in the methods of the embodiments disclosed in the present application are executed.

[0126] The vibration and noise optimization device for the speed reducer assembly provided by this application adopts the vibration and noise optimization method for the speed reducer assembly in the above embodiment, which can solve the technical problems that the evaluation method generally only simply judges the magnitude of the vibration response, has a long time period, and it is difficult to discover and effectively solve the potential vibration and noise of the speed reducer assembly in the initial stage of the design and development of the speed reducer assembly. Compared with the prior art, the beneficial effects of the vibration and noise optimization device for the speed reducer assembly provided by this application are the same as those of the vibration and noise optimization method for the speed reducer assembly provided by the above embodiment, and other technical features in the vibration and noise optimization device for the speed reducer assembly are the same as those disclosed in the method of the previous embodiment, and will not be elaborated here.

[0127] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in a suitable manner in any one or more embodiments or examples.

[0128] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0129] This application provides a computer-readable storage medium with computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the vibration and noise optimization method for the speed reducer assembly in the above embodiment.

[0130] The computer-readable storage medium provided by this application can be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or components, or any combination of the above. More specific examples of the computer-readable storage medium may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM) or flash memory, optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this embodiment, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, device, or component. The program code contained on the computer-readable storage medium can be transmitted by any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0131] The above computer-readable storage medium can be included in the vibration and noise optimization device of the speed reducer assembly; it can also exist independently and not be assembled into the vibration and noise optimization device of the speed reducer assembly.

[0132] The above computer-readable storage medium carries one or more programs. When the one or more programs are executed by the vibration and noise optimization device of the speed reducer assembly, the vibration and noise optimization device of the speed reducer assembly is caused to: during the design stage of the speed reducer assembly, construct a simulation model of the speed reducer assembly according to the simulation parameter summary table of the speed reducer assembly; align the boundary conditions of the simulation model of the speed reducer assembly with the boundary conditions of the test bench; after the boundary conditions are aligned, determine the risk frequency points of the vibration response of the speed reducer assembly through the simulation model of the speed reducer assembly; and optimize the speed reducer assembly according to the risk frequency points.

[0133] Computer program code for performing the operations of this application can be written in one or more programming languages or combinations thereof. The above-mentioned programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, executed as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (for example, by using an Internet service provider to connect through the Internet).

[0134] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, as well as combinations of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0135] The modules described in the embodiments of this application can be implemented in software or in hardware. Among them, the name of the module does not constitute a limitation to the unit itself in some cases.

[0136] The readable storage medium provided by this application is a computer-readable storage medium. The computer-readable storage medium stores computer-readable program instructions (i.e., computer programs) for executing the vibration and noise optimization method of the above-mentioned speed reducer assembly, which can solve the technical problems that the evaluation method generally only simply judges the magnitude of the vibration response, has a long time period, and it is difficult to discover and effectively solve the potential vibration and noise of the speed reducer assembly in the initial stage of the design and development of the speed reducer assembly. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by this application are the same as those of the vibration and noise optimization method of the speed reducer assembly provided by the above-mentioned embodiment, and will not be elaborated here.

[0137] This application also provides a computer program product, including a computer program, and when the computer program is executed by a processor, it realizes the steps of the vibration and noise optimization method of the speed reducer assembly as described above.

[0138] The computer program product provided by this application can solve the technical problems that the evaluation method generally only simply judges the magnitude of the vibration response, has a long time period, and it is difficult to discover and effectively solve the potential vibration and noise of the speed reducer assembly in the initial stage of the design and development of the speed reducer assembly. Compared with the prior art, the beneficial effects of the computer program product provided by this application are the same as those of the vibration and noise optimization method of the speed reducer assembly provided by the above-mentioned embodiment, and will not be elaborated here.

[0139] The above are only partial embodiments of this application, and thus do not limit the patent scope of this application. Any equivalent structural transformation made under the technical concept of this application by using the content of the specification and drawings of this application, or any direct / indirect application in other related technical fields, is included in the patent protection scope of this application.

Claims

1. A method for optimizing the vibration and noise of a reduction gearbox assembly, characterized in that: The method comprises: During the design phase of the reduction gearbox assembly, a reduction gearbox assembly simulation model is constructed according to a simulation parameter summary table of the reduction gearbox assembly; Aligning the boundary conditions of the reduction gearbox assembly simulation model with the boundary conditions of the test bench; After the boundary conditions are aligned, the risk frequency points of the vibration response of the reduction gearbox assembly are determined through the reduction gearbox assembly simulation model; The reduction gearbox assembly is optimized according to the risk frequency points.

2. The method according to claim 1, characterized in that The step of determining the risk frequency point of the vibration response of the reduction gearbox assembly through the reduction gearbox assembly simulation model after the boundary conditions are aligned includes: Obtaining a vibration response curve of a key point of a housing in the reduction gearbox assembly under typical working conditions; After the boundary conditions are aligned, the preset assessment target values ​​of the vibration and noise performance of the reduction gearbox assembly are determined; Based on the assessment target value, the vibration response curve is evaluated by the reduction gearbox assembly simulation model to determine the risk frequency points of the vibration response of the reduction gearbox assembly.

3. The method according to claim 1, characterized in that The step of optimizing the reduction gearbox assembly according to the risk frequency point comprises: Obtaining a meshing stiffness curve of a gear in the reduction gearbox assembly, and determining a peak frequency of the meshing stiffness curve; Determining a risk frequency of a risk frequency point of the vibration response; Determining whether the frequency difference between the risk frequency and the peak frequency reaches a preset threshold; When the frequency difference does not reach the preset threshold, determining that the optimization direction of the reduction gearbox assembly is the gear shaft; The risk frequency points of the reduction gear assembly are optimized according to the gear working vibration mode of the gear shaft.

4. The method according to claim 3, characterized in that After the step of determining whether the frequency difference between the risk frequency and the peak frequency reaches a preset threshold, the method further includes: When the frequency difference reaches the preset threshold, determining that the optimization direction of the reduction gearbox assembly is the housing; Obtaining a shell working vibration mode corresponding to the shell; Based on the operating vibration mode of the housing, the risk frequency points of the reduction gearbox assembly are optimized.

5. The method according to claim 1, characterized in that The step of aligning the boundary conditions of the reduction gearbox assembly simulation model with the boundary conditions of the test bench comprises: In the design stage, boundary conditions corresponding to a bench or vehicle test associated with the reduction gearbox assembly are obtained; The boundary conditions corresponding to the bench or vehicle test are input into the reduction gearbox assembly simulation model, so that the boundary conditions of the reduction gearbox assembly simulation model are consistent with the boundary conditions corresponding to the bench or vehicle test.

6. The method according to any one of claims 1 to 5, characterized in that During the design stage of the reduction gearbox assembly, the step of constructing a reduction gearbox assembly simulation model according to the simulation parameter summary table of the reduction gearbox assembly includes: During the design stage of the reduction gearbox assembly, equipment parameters of the reduction gearbox assembly are collected; According to the equipment parameters, a simulation parameter summary table of the reduction gearbox assembly for simulation is prepared; Based on the simulation parameter summary table, the reduction gearbox assembly is simulated and modeled by a simulation tool to obtain a reduction gearbox assembly simulation model.

7. A vibration and noise optimization device for a reduction gearbox assembly, characterized in that: The device comprises: A model building module is used to build a simulation model of the reduction gearbox assembly according to a simulation parameter summary table of the reduction gearbox assembly during the design stage of the reduction gearbox assembly; A boundary benchmarking module, used to align the boundary conditions of the reduction gearbox assembly simulation model with the boundary conditions of the test bench; A risk frequency module, used to determine the risk frequency point of the vibration response of the reduction gearbox assembly through the reduction gearbox assembly simulation model after the boundary conditions are aligned; A vibration optimization module is used to optimize the reduction gearbox assembly according to the risk frequency point.

8. A vibration and noise optimization device for a reduction gearbox assembly, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the vibration and noise optimization method for the reduction gearbox assembly according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the vibration and noise optimization method of the reduction gearbox assembly as described in any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the vibration and noise optimization method of the reduction gearbox assembly according to any one of claims 1 to 6 are implemented.

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