Motor reducer gear noise control method, system, vehicle and storage medium

Abstract

The present invention discloses a method for controlling gear noise of a motor reducer, comprising: establishing and obtaining a dynamic analysis model of a flexible support gear system based on a grid model of a reducer housing structure and a dynamic model of a gear system in combination with a model optimization method; performing gear meshing analysis on the dynamic analysis model of the flexible support gear system to determine initial design values of microscopic parameters of the flexible support gear system; performing microscopic parameter tolerance analysis on the initial design values of the microscopic parameters, and determining a microscopic parameter range of the flexible support gear system according to the results of the microscopic parameter tolerance analysis; evaluating the microscopic parameter range of the flexible support gear system, and determining nominal design values and tolerances of the microscopic parameters of the flexible support gear system according to the evaluation results; and performing tolerance analysis on the microscopic parameters of the motor reducer gear to obtain a result that the microscopic parameters meet the consistency of the reducer gear whistling noise while reducing the gear precision level as much as possible to reduce the manufacturing cost.

Description

Technical Field

[0001] The present invention relates to the technical field of engine gear transmission structures, and in particular to a method, system, vehicle and storage medium for controlling noise of a motor reducer gear. Background Art

[0002] Gear transmission has advantages such as accurate transmission ratio, high efficiency, and long life, and is widely used in mechanical transmission systems. For example, the motor reducer of an electric vehicle uses gear transmission to receive input from the motor and output it to the wheels as the electric vehicle's power output. The impact of gear design on gear whine needs to be considered during the design of the motor reducer transmission gear, and the design of gear micro-parameters is the main influencing factor of gear whine. Gear micro-parameters mainly involve the determination of gear micro-profile parameters and upper and lower deviations, such as gear tooth profile deviation, tooth guide deviation, and crowning, which can directly affect gear transmission error and thus gear whine.

[0003] At present, the problem of inconsistent whistling noise in motor reducer gears is usually solved by designing the gear accuracy towards high manufacturing precision, that is, improving the gear accuracy level and narrowing the design tolerance to achieve the purpose of reducing transmission error. However, this will greatly increase the gear manufacturing cost and increase the cost pressure of product development. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention provides a method, system, vehicle and storage medium for controlling gear noise of a motor reducer.

[0005] According to a first aspect of the present invention, a method for controlling gear noise of a motor reducer is provided, the method comprising:

[0006] Establishing a reducer housing structure grid model and a gear system dynamics model, and obtaining a flexible support gear system dynamics analysis model based on the reducer housing structure grid model and the gear system dynamics model in combination with a model optimization method;

[0007] Performing gear meshing analysis on the dynamic analysis model of the flexible support gear system to determine initial design values of microscopic parameters of the flexible support gear system;

[0008] Performing a micro-parameter tolerance analysis on the initial design values of the micro-parameters, and determining the micro-parameter range of the flexible support gear system according to the results of the micro-parameter tolerance analysis;

[0009] The micro-parameter range of the flexible support gear system is evaluated, and the nominal design value and tolerance of the micro-parameter of the flexible support gear system are determined according to the evaluation result.

[0010] According to a motor reducer gear noise control method of the present invention, firstly, the reducer housing structural parameters are imported into the finite element software to obtain the reducer housing structural grid model; then the reducer gear system structural parameters are input into the finite element model, and the gear system dynamics model is established according to the reducer gear system structural parameters; the obtained reduction housing structural grid model and the gear system dynamics model are further optimized by a model to obtain a flexible support gear system dynamics analysis model that can simulate the actual motion condition of the motor reducer; the gear meshing analysis calculation of the internal gear system of the flexible support gear system dynamics analysis model is performed, and the initial design values of the microscopic parameters of the flexible support gear system are obtained according to the analysis and calculation results; after obtaining the flexible support gear system dynamics analysis model, the gear meshing analysis calculation results of the flexible support gear system are obtained. After the initial design values of the micro parameters of the flexible support gear system are determined, the micro parameter range of the flexible support gear system is determined by the micro parameter tolerance analysis method according to the initial design values of the micro parameters of the flexible support gear system; wherein, the tolerance refers to the upper and lower limit ranges of the micro parameters of the gear system in the motor reducer, and the larger the tolerance, the larger the range of micro parameter selection; and the purpose of the tolerance is that a small difference within a certain tolerance range will not affect the noise, vibration and acoustic roughness performance of the gear system; finally, the micro parameter range of the flexible support gear system is evaluated by calculation, and the nominal design values of the micro parameters of the flexible support gear system are determined according to the evaluation results, so as to obtain the micro parameter tolerance of the flexible support gear system that can control the motor reducer gear noise within the design range.

[0011] According to some embodiments of the present invention, the step of establishing the reducer housing structure grid model is as follows:

[0012] Importing the motor reducer housing structural parameters into finite element software to obtain an initial mesh model of the reducer housing structure, inputting corresponding material parameters according to the actual motor reducer housing material type to obtain the reducer housing structure mesh model; finally, verifying the validity of the reducer housing structure mesh model through modal calculation; the mesh model is a second-order tetrahedron unit;

[0013] The gear system dynamics model is specifically established as follows:

[0014] Establishing a model including a meshing gear pair, a gear mounting shaft, and a bearing in finite element software, assembling the meshing gear pair, the gear mounting shaft, and the bearing models into an initial dynamic model of the gear system according to their position and structural relationships, inputting material parameters into the initial dynamic model of the gear system, and inputting macroscopic and microscopic design parameters of the meshing gear pair to obtain the dynamic model of the gear system;

[0015] The macro-design parameters include the number of gear teeth, module, pressure angle, hand direction, helix angle, tooth width, modification coefficient and pitch circle diameter; the micro-design parameters include the crowning amount, pressure angle modification amount and helix angle modification amount;

[0016] By inputting the motor reducer housing structural parameters and the microscopic and macroscopic parameters of the internal gear system into the finite element software, the corresponding reducer housing structural grid model and gear system dynamic model are generated. Based on the obtained reducer housing structural grid model and the gear system dynamic model combined with the model optimization method, a flexible support gear system dynamic analysis model that can actually simulate the movement of the motor reducer is obtained.

[0017] According to some embodiments of the present invention, the flexible support gear system dynamics analysis model is obtained by combining the reducer housing structure grid model and the gear system dynamics model with a model optimization method, specifically,

[0018] Importing the reducer housing structure grid model into the gear system dynamics model, and adjusting the positional relationship between the reducer housing structure grid model and the gear system dynamics model;

[0019] Edit node connection: The gear mounting shaft is mounted on the reducer housing through the bearing. The bearing is connected to the flexible housing. The node of the bearing is connected to the bearing mounting surface of the flexible housing using a rigid unit. The connection point of the flexible housing is set as the main node. The flexible housing provides a rigid boundary for the movement of the gear mounting shaft.

[0020] Performing dynamic finite element polycondensation: setting the modal order or polycondensation frequency range to obtain the stiffness matrix and mass matrix of the flexible shell;

[0021] Selecting response nodes at different positions on the surface of the flexible shell structure as monitoring points for gear flexibility dynamics analysis and response reference points for the vibration magnitude of the flexible shell, thereby completing the establishment of a dynamics analysis model for the flexible support gear system;

[0022] First, the positional relationship between the reducer housing structure grid model and the gear system dynamic model is adjusted to ensure the accuracy of the model analysis structure; by editing node connections, the editing node connection includes that the gear mounting shaft is installed on the reducer housing through the bearing, the bearing is connected to the flexible housing, the node of the bearing is connected to the bearing mounting surface of the flexible housing using a rigid unit, the connection point of the flexible housing is set as the main node, the flexible housing provides a stiffness boundary for the movement of the gear mounting shaft, and the editing node connection ensures that the bearing can be smoothly installed on the flexible housing; then, by dynamic finite element reduction, the dynamic finite element reduction includes setting the modal order or reduction frequency range to obtain the stiffness matrix and mass matrix of the flexible housing; the dynamic characteristics of the flexible housing are obtained by dynamic finite element reduction, and the accuracy of the results of the calculation frequency range is guaranteed; finally, response nodes are selected at different positions on the surface of the flexible housing structure as monitoring points for the gear flexible dynamic analysis and response reference points for the vibration magnitude of the flexible housing. The selected monitoring points can extract the vibration data of the housing, reflect the vibration response of the housing, and complete the establishment of the dynamic analysis model of the flexible support gear system.

[0023] According to some embodiments of the present invention, the gear meshing analysis is performed on the dynamic analysis model of the flexible support gear system to determine the initial design values of the microscopic parameters of the flexible support gear system, specifically,

[0024] In the dynamic analysis model of the flexible support gear system, the speed and torque that meet the actual working conditions are defined, and the transmission error analysis under the meshing state of the gear pair is performed. The transmission error includes the TE peak-to-peak value, the magnitude of the first-order harmonic, the magnitude of the second-order harmonic, and the magnitude of the third-order harmonic;

[0025] Determine whether the transmission error analysis result meets the NVH design requirements of the motor reducer;

[0026] If the transmission error analysis results meet the requirements, the transmission error analysis results and the gear meshing stiffness are connected to the gear system meshing dynamic analysis working condition. According to the gear system meshing dynamic analysis working condition, the optimal analysis scheme is selected to calculate the microscopic parameter design values of the flexible support gear system;

[0027] If the transmission error analysis result does not meet the requirements, it is necessary to optimize the gear pair to reduce the transmission error of the gear pair;

[0028] First, the speed and torque that meet the actual motion conditions are defined on the input shaft and output shaft in the dynamic analysis model of the flexible support gear system, so that the dynamic analysis model of the flexible support gear system can simulate the actual operation; secondly, the transmission error analysis is performed under the meshing state of the gear pair, and the transmission error includes the size of the first-order harmonic, the size of the second-order harmonic and the size of the third-order harmonic; according to the size of the first-order harmonic, the size of the second-order harmonic and the size of the third-order harmonic, it is judged whether the transmission error meets the design requirements of the motor reducer NVH; wherein NVH represents the noise, vibration and acoustic roughness of the motor reducer; if the transmission error analysis result meets the requirements, the transmission error analysis result is and the gear meshing stiffness are connected to the gear system meshing dynamic analysis working condition, and according to the gear system meshing dynamic analysis working condition, the optimal analysis scheme is selected to calculate the micro-parameter design value of the flexible support gear system; if the transmission error analysis result does not meet the requirements, it is necessary to optimize the gear pair to reduce the transmission error of the gear pair; this cycle is repeated until the maximum transmission error of the gear pair that meets the design requirements of the motor reducer NVH is calculated, and the maximum transmission error and gear meshing stiffness are connected to the gear system meshing dynamic analysis working condition, and according to the gear system meshing dynamic analysis working condition, the optimal analysis scheme is selected to calculate the micro-parameter design value of the flexible support gear system.

[0029] According to some embodiments of the present invention, performing a micro-parameter tolerance analysis on the initial design values of the micro-parameters and determining the micro-parameter range of the flexible support gear system according to the results of the micro-parameter tolerance analysis are specifically as follows:

[0030] defining a crowning amount, a pressure angle modification amount, and a helical angle modification amount according to actual needs, and using the crowning amount, the pressure angle modification amount, and the helical angle modification amount as analysis variables;

[0031] Determine a micro-cultivation parameter combination matrix based on the analysis variables, and simplify the tolerance analysis of the micro-cultivation parameter combination matrix based on variable parameter characteristics;

[0032] According to the simplified tolerance analysis results of the variable parameter characteristics, the microscopic parameter range of the flexible support gear system is obtained.

[0033] According to some embodiments of the present invention, the micro-parameter range of the flexible support gear system is evaluated, and the nominal design value and tolerance of the micro-parameter of the flexible support gear system are determined according to the evaluation result, specifically,

[0034] Based on the maximum pressure or transmission error peak as the evaluation index, the micro-parameter design variables are selected within the tolerance analysis results that meet the design requirements;

[0035] Based on the selected value range of the micro-parameter design variables, the rationality of the nominal design values and tolerances of the micro-parameters of the flexible support gear system is calculated and evaluated.

[0036] According to a second aspect of the present invention, a motor reducer gear noise control system includes:

[0037] A first acquisition module is used to acquire various relevant parameters of the target motor reducer, wherein the relevant parameters include the number of gear teeth, module, pressure angle, hand direction, helix angle, tooth width, modification coefficient, pitch circle diameter, crowning amount, pressure angle modification amount, and helix angle modification amount;

[0038] a first modeling module, which establishes a housing structure grid model and a gear system dynamics model of the target motor reducer according to various relevant parameters of the target motor reducer acquired by the first acquisition module;

[0039] A second modeling module is configured to establish a dynamic analysis model of the flexible support gear system based on the reducer housing structure grid model and the gear system dynamic model established by the first modeling module and in combination with a preset model optimization algorithm;

[0040] A first analysis module, which obtains initial design values of microscopic parameters of the flexible support gear system by analyzing the gear meshing based on the dynamic analysis model of the flexible support gear system established by the second modeling module;

[0041] A second analysis module is configured to obtain nominal design values of the micro parameters of the flexible support gear system through micro parameter tolerance analysis based on the initial design values of the micro parameters of the flexible support gear system obtained by the first analysis module;

[0042] A first evaluation module is configured to obtain the tolerance of the micro parameters of the flexible support gear system based on the nominal design values of the micro parameters of the flexible support gear system obtained by the second analysis module;

[0043] The first output module is used to output the nominal design values of the microscopic parameters of the flexible support gear system obtained by the second analysis module and the tolerances of the microscopic parameters of the flexible support gear system obtained by the first evaluation module.

[0044] According to a motor reducer gear noise control system of the present invention, first, a plurality of relevant parameters of the target motor reducer are input into the system through a first acquisition module, and the relevant parameters include the number of gear teeth, module, pressure angle, rotation direction, helix angle, tooth width, modification coefficient, pitch circle diameter, drum amount, pressure angle modification amount and helix angle modification amount; after the first acquisition module acquires the plurality of relevant parameters of the target motor reducer, the plurality of relevant parameters of the target motor reducer are sent to a first modeling module, the first modeling module establishes the target motor reducer housing structure grid model and gear system dynamics model according to the plurality of relevant parameters of the target motor reducer, and sends the target motor reducer housing structure grid model and gear system dynamics model to the first modeling module, the second modeling module establishes a flexible support gear system dynamics analysis model according to the received target motor reducer housing structure grid model and gear system dynamics model and in combination with a preset model optimization algorithm, and the flexible support gear system is analyzed. The system dynamics analysis model is sent to the first analysis module; the first analysis module receives the flexible support gear system dynamics analysis model, analyzes the gear meshing in the flexible support gear system dynamics analysis model through a preset algorithm to obtain the initial design values of the flexible support gear system micro parameters, and sends the initial design values of the flexible support gear system micro parameters to the second analysis module; the second analysis module receives the initial design values of the flexible support gear system micro parameters, performs micro parameter tolerance analysis through a pre-analysis method, obtains the nominal design values of the flexible support gear system micro parameters, and sends the nominal design values of the flexible support gear system micro parameters to the first evaluation module, the first evaluation module receives and evaluates the nominal design values of the flexible support gear system micro parameters according to preset evaluation rules, and obtains the micro parameter tolerances of the flexible support gear system through the evaluation results; finally, the nominal design values of the flexible support gear system micro parameters and the micro parameter tolerances of the flexible support gear system are output through the first output module.

[0045] According to a third aspect of an embodiment of the present invention, a vehicle includes a processor and a memory for storing instructions executable by the processor; wherein the processor is configured to:

[0046] Implement a motor reducer gear noise control method as described in any one of the embodiments of the first aspect.

[0047] According to a computer-readable storage medium of an embodiment of the fourth aspect of the present invention, a motor reducer gear noise control program is stored on the storage medium, and when the motor reducer gear noise control program is executed by a processor, a motor reducer gear noise control method as described in any one of the embodiments of the first aspect is implemented.

[0048] According to a motor reducer gear noise control method of the present invention, its beneficial effects are as follows:

[0049] (1) Through the tolerance analysis of the micro parameters of the motor reducer gear, it is found that the micro parameters meet the requirements of the motor reducer noise consistency while reducing the gear accuracy level as much as possible and reducing the manufacturing cost.

[0050] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. 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 paying any creative work.

[0052] Figure 1 This is a flow chart of a method for controlling gear noise of a motor reducer according to an embodiment of the present invention;

[0053] Figure 2 A schematic diagram of a tolerance method for controlling gear noise of a motor reducer according to an embodiment of the present invention. DETAILED DESCRIPTION

[0054] The embodiments of the present invention are described in detail below. The embodiments described with reference to the accompanying drawings are exemplary. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0055] It should be noted that when an element is referred to as being “fixed to” another element, it may be directly on the other element or there may be an intermediate element. When an element is referred to as being “connected to” another element, it may be directly connected to the other element or there may be an intermediate element.

[0056] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this invention pertains. The terms used herein in the specification of the present invention are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0057] Example 1

[0058] See Figure 1 As shown, a method for controlling gear noise of a motor reducer comprises the following steps:

[0059] Step S100: establishing a reducer housing structure grid model and a gear system dynamics model;

[0060] Specifically, the grid model of the reducer housing structure is established as follows:

[0061] Step S110: Importing the motor reducer housing structural parameters into finite element software to obtain an initial mesh model of the reducer housing structure;

[0062] Step S120: inputting corresponding material parameters according to the actual motor reducer housing material type to obtain the reducer housing structure grid model;

[0063] Among them, the reducer housing structure grid model is a second-order tetrahedron unit;

[0064] Furthermore, in order to verify whether the obtained mesh model is valid, the effectiveness of the reducer housing structure mesh model is verified through modal calculation;

[0065] Specifically, the gear system dynamics model is established as follows:

[0066] Step S130: establishing a model including a meshing gear pair, a gear mounting shaft, and a bearing in finite element software;

[0067] Step S140: Assemble the meshing gear pair, gear mounting shaft, and bearing models into an initial dynamics model of the gear system according to their position and structural relationships;

[0068] Step S150: inputting material parameters into the initial dynamics model of the gear system, and inputting macroscopic design parameters and microscopic design parameters of the meshing gear pair, to obtain the dynamics model of the gear system;

[0069] Furthermore, the macro design parameters of the meshing gear pair include the number of gear teeth, module, pressure angle, rotation direction, helix angle, tooth width, modification coefficient and pitch circle diameter; the micro design parameters of the meshing gear pair include the crowning amount, pressure angle modification amount and helix angle modification amount.

[0070] Step S200: obtaining a dynamic analysis model of the flexible support gear system based on the reducer housing structure grid model and the gear system dynamic model in combination with a model optimization method;

[0071] Specifically,

[0072] Step S210: importing the reducer housing structure grid model into the gear system dynamics model, and adjusting the positional relationship between the reducer housing structure grid model and the gear system dynamics model;

[0073] It should be noted that the positional relationship between the reducer housing structure grid model and the gear system dynamic model is adjusted to ensure that the gear mounting bearing matches the flexible support housing bearing mounting position, thereby ensuring the accuracy of the subsequent analysis results of the flexible support gear system dynamic analysis model.

[0074] Step S220: Editing the node connections of the reducer housing structure mesh model and the gear system dynamics model;

[0075] Specifically, the gear mounting shaft is mounted on the reducer housing through a bearing. The bearing establishes a connection relationship with the flexible housing. The node of the bearing is connected to the bearing mounting surface of the flexible housing using a rigid unit. The connection point of the flexible housing is set as the main node. The flexible housing provides a rigid boundary for the movement of the gear mounting shaft, completing the node connection.

[0076] It should be noted that the purpose of this step is to ensure that the bearing can be correctly installed on the flexible housing;

[0077] Step S230: performing dynamic finite element polycondensation on the gear system dynamics model after node connection editing;

[0078] Specifically, the modal order or condensation frequency range is set. The highest modal frequency needs to be higher than the maximum frequency of the dynamic analysis. The modal frequency is set to be more than 1.5 times the maximum frequency of the dynamic analysis. After dynamic condensation, the stiffness matrix and mass matrix of the flexible shell can be obtained.

[0079] It should be noted that the purpose of this step is to obtain the dynamic characteristics of the flexible shell and ensure the accuracy of the results within the calculation frequency range;

[0080] Step S240: Selecting response nodes at different positions on the surface of the flexible shell structure as monitoring points for gear flexibility dynamics analysis and response reference points for the vibration magnitude of the flexible shell;

[0081] It should be noted that the dynamic analysis model of the flexible support gear system has been established before this step. The purpose of this step is to select monitoring points to extract the vibration data of the shell and reflect the vibration response of the shell.

[0082] Step S300: performing gear meshing analysis on the dynamic analysis model of the flexible support gear system to determine initial design values of microscopic parameters of the flexible support gear system;

[0083] Specifically,

[0084] Step S310: defining the speed and torque that conform to the actual working conditions for the input shaft and the output shaft in the dynamic analysis model of the flexible support gear system, so that the dynamic analysis model of the flexible support gear system can simulate the actual motion conditions of the reducer;

[0085] Step S320: performing transmission error analysis on the dynamic analysis model of the flexible support gear system in meshing state;

[0086] Furthermore, the transmission error includes the TE peak-to-peak value, the magnitude of the first-order harmonic, the magnitude of the second-order harmonic, and the magnitude of the third-order harmonic;

[0087] Step S320: Determine whether the transmission error analysis result meets the NVH design requirements of the motor reducer; if so, connect the transmission error analysis result and the gear meshing stiffness to the gear system meshing dynamic analysis working condition, select the optimal analysis scheme based on the gear system meshing dynamic analysis working condition, and calculate the micro-parameter design value of the flexible support gear system; if not, optimize the gear pair to reduce the transmission error of the gear pair, and then analyze the reduced gear pair transmission error until the analysis result meets the requirements, and then calculate the micro-parameter design value of the flexible support gear system;

[0088] Among them, the NVH design requirements of the motor reducer are the design requirements for noise, vibration and acoustic roughness of the motor reducer.

[0089] Step S400: performing a micro-parameter tolerance analysis on the initial design values of the micro-parameters, and determining the micro-parameter range of the flexible support gear system according to the results of the micro-parameter tolerance analysis;

[0090] Among them, the micro parameter tolerance refers to the upper and lower tolerance limits of various gear parameters. The larger the tolerance, the wider the range of micro parameter selection. The purpose of the tolerance is to ensure that within a certain tolerance range, small differences will not affect the overall NVH performance of the gear.

[0091] Specifically,

[0092] Step S410: defining the crowning amount, pressure angle modification amount, and helix angle modification amount according to actual working conditions, and using them as analysis variables;

[0093] Step S420: determining a micro-training parameter combination matrix based on the analysis variables, and simplifying the tolerance analysis micro-training parameter combination matrix based on the variable parameter characteristics;

[0094] See Figure 2As shown, it should be noted that the full factor method is used to perform tolerance analysis on micro parameters; specifically, the active gear is set as gear A and the driven gear is gear B, and the tolerance analysis combination is simplified according to the variable parameter characteristics. For example, if the gear drum volume is used as the analysis variable and the drum volume range is set to 0μm-8μm, then the initial design value of the micro parameter of the gear system is 4, then there are 9*9=81 tolerance combinations of gear A and gear B; however, the gear drum volume can be used according to the principle of addition. If the drum volume of gear A and gear B is If the values are aμm and bμm, respectively, the actual calculated drum profile can be considered to be (a+b)μm. Setting this as the drum profile parameter for a gear reduces the number of calculations from 81 to 9+9=18, greatly improving analysis efficiency. Similar calculations include pressure angle modification and helix angle modification, which will not be discussed here. Using the full factor method to perform tolerance analysis on microscopic parameters allows for a more comprehensive analysis of gear microscopic parameters, ensuring the comprehensiveness of the analysis plan while reducing the number of calculation plans and improving computational efficiency.

[0095] Step S430: deriving the microscopic parameter range of the flexible support gear system based on the result of the simplified tolerance analysis of the variable parameter characteristics;

[0096] Through analysis and calculation in step S420 , taking the drum amount as an example, the optional range of the drum amount is -2 μm to 12 μm.

[0097] Step S500: Evaluate nominal design values of microscopic parameters of the flexible support gear system, and determine microscopic parameter tolerances of the flexible support gear system according to the evaluation results;

[0098] Specifically,

[0099] Step S510: using the maximum pressure or the peak value of the transmission error as an evaluation indicator, selecting micro-parameter design variables within the tolerance analysis result range that meets the design requirements;

[0100] Step S520: evaluating the rationality of nominal design values of micro parameters of the flexible support gear system according to the value range of the selected micro parameter design variables;

[0101] Specifically, the actual nominal design value of the microscopic parameters of the flexible support gear system is (-2+12) / 2=5, and its tolerance is 12-5, which is equal to 7. Compared with the initial design value of the microscopic parameters of the flexible support gear system of 4 and the error of 4, the initial nominal design value and tolerance of the microscopic parameters of the flexible support gear system calculated by the method are 5 and 7;

[0102] According to a motor reducer gear noise control method of the present embodiment, the reducer housing structural parameters are first imported into the finite element software to obtain the reducer housing structural grid model; then the reducer gear system structural parameters are input into the finite element model, and the gear system dynamics model is established according to the reducer gear system structural parameters; the obtained reduction housing structural grid model and the gear system dynamics model are further optimized by the model to obtain a flexible support gear system dynamics analysis model that can simulate the actual motion condition of the motor reducer; the gear meshing analysis and calculation of the internal gear system of the flexible support gear system dynamics analysis model are performed, and the initial design values of the microscopic parameters of the flexible support gear system are obtained according to the analysis and calculation results; after obtaining the flexible support After the initial design values of the micro parameters of the gear system are determined, the micro parameter range of the flexible support gear system is determined by the micro parameter tolerance analysis method based on the initial design values of the micro parameters of the flexible support gear system; among them, the tolerance refers to the upper and lower limit range of the micro parameters of the gear system in the motor reducer. The larger the tolerance, the larger the range of micro parameter selection; and the purpose of the tolerance is to ensure that small differences within a certain tolerance range will not affect the noise, vibration and acoustic roughness performance of the gear system; finally, the micro parameter range of the flexible support gear system is evaluated by calculation, and the nominal design values of the micro parameters of the flexible support gear system are determined according to the evaluation results, so as to obtain the micro parameter tolerance of the flexible support gear system that can control the motor reducer gear noise within the design range.

[0103] The method of this embodiment can achieve the NVH conditions of the motor reducer while ensuring that the motor reducer gear system does not need to achieve high precision, but only needs to meet the required precision of the motor reducer gear system, thereby reducing manufacturing costs.

[0104] Example 2

[0105] A motor reducer gear noise control system, comprising:

[0106] The first acquisition module is used to obtain various relevant parameters of the target motor reducer, including the number of gear teeth, module, pressure angle, rotation direction, helix angle, tooth width, modification coefficient, pitch circle diameter, crowning amount, pressure angle modification amount, and helix angle modification amount;

[0107] A first modeling module is configured to establish a housing structure grid model and a gear system dynamics model of the target motor reducer according to various relevant parameters of the target motor reducer acquired by the first acquisition module;

[0108] The second modeling module establishes a dynamic analysis model of the flexible support gear system based on the reducer housing structure grid model and the gear system dynamic model established by the first modeling module and in combination with a preset model optimization algorithm;

[0109] The first analysis module, based on the dynamic analysis model of the flexible support gear system established by the second modeling module, obtains the initial design values of the microscopic parameters of the flexible support gear system by analyzing the gear meshing;

[0110] A second analysis module obtains nominal design values of the micro parameters of the flexible support gear system through micro parameter tolerance analysis based on the initial design values of the micro parameters of the flexible support gear system obtained by the first analysis module;

[0111] A first evaluation module obtains the micro-parameter tolerances of the flexible support gear system based on the nominal design values of the micro-parameters of the flexible support gear system obtained by the second analysis module;

[0112] The first output module is used to output the nominal design values of the microscopic parameters of the flexible support gear system obtained by the second analysis module and the tolerances of the microscopic parameters of the flexible support gear system obtained by the first evaluation module.

[0113] According to a motor reducer gear noise control system of the present embodiment, first, various relevant parameters of the target motor reducer are input into the system through the first acquisition module, and the relevant parameters include the number of gear teeth, module, pressure angle, rotation direction, helix angle, tooth width, displacement coefficient, pitch circle diameter, drum shape, pressure angle modification amount and helix angle modification amount; after the first acquisition module acquires the various relevant parameters of the target motor reducer, the various relevant parameters of the target motor reducer are sent to the first modeling module, the first modeling module establishes the target motor reducer housing structure grid model and the gear system dynamics model according to the various relevant parameters of the target motor reducer, and sends the target motor reducer housing structure grid model and the gear system dynamics model to the first modeling module, the second modeling module establishes the flexible support gear system dynamics analysis model according to the received target motor reducer housing structure grid model and gear system dynamics model and in combination with the preset model optimization algorithm, and the flexible support gear The system dynamics analysis model is sent to the first analysis module; the first analysis module receives the flexible support gear system dynamics analysis model, analyzes the gear meshing in the flexible support gear system dynamics analysis model through a preset algorithm to obtain the initial design values of the flexible support gear system micro parameters, and sends the initial design values of the flexible support gear system micro parameters to the second analysis module; the second analysis module receives the initial design values of the flexible support gear system micro parameters, performs micro parameter tolerance analysis through a pre-analysis method, obtains the nominal design values of the flexible support gear system micro parameters, and sends the nominal design values of the flexible support gear system micro parameters to the first evaluation module, the first evaluation module receives and evaluates the nominal design values of the flexible support gear system micro parameters according to preset evaluation rules, and obtains the micro parameter tolerances of the flexible support gear system through the evaluation results; finally, the nominal design values of the flexible support gear system micro parameters and the micro parameter tolerances of the flexible support gear system are output through the first output module.

[0114] Example 3

[0115] A vehicle comprising a processor and a memory for storing instructions executable by the processor; wherein the processor is configured to:

[0116] Implement a motor reducer gear noise control method in Example 1.

[0117] Example 4

[0118] A computer-readable storage medium stores a motor reducer gear noise control program. When the motor reducer gear noise control program is executed by a processor, a motor reducer gear noise control method as described in Example 1 is implemented.

[0119] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like to indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore should not be understood as a limitation to the invention.

[0120] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "illustrative embodiments," "example," "specific example," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example.

[0121] Obviously, the described embodiments are only some of the embodiments of the present application, rather than all of the embodiments. Mentioning "embodiment" in this article means that the specific features, structures or characteristics described in conjunction with the embodiment may be included in at least one embodiment of the present embodiment application. The appearance of this phrase in various positions in the specification does not necessarily mean that they are all the same embodiments, nor are they independent or alternative embodiments that are mutually exclusive with other embodiments. It can be understood explicitly and implicitly by those skilled in the art that the embodiments described herein can be combined with other embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without making creative work are within the scope of protection of this application.

[0122] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to the embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the claims and their equivalents.

Claims

1. A method for controlling gear noise of a motor reducer, characterized in that: The method comprises, Establishing a reducer housing structure grid model and a gear system dynamics model, and obtaining a flexible support gear system dynamics analysis model based on the reducer housing structure grid model and the gear system dynamics model in combination with a model optimization method; Performing gear meshing analysis on the dynamic analysis model of the flexible support gear system to determine the initial design values of the microscopic parameters of the flexible support gear system, which includes: defining the speed and torque that meet the actual working conditions in the dynamic analysis model of the flexible support gear system, and performing transmission error analysis under the meshing state of the gear pair, wherein the transmission error includes the TE peak-to-peak value, the size of the first-order harmonic, the size of the second-order harmonic, and the size of the third-order harmonic; judging whether the transmission error analysis result meets the NVH design requirements of the motor reducer; if the transmission error analysis result meets the requirements, connecting the transmission error analysis result and the gear meshing stiffness to the gear system meshing dynamic analysis working condition, and selecting the optimal analysis scheme according to the gear system meshing dynamic analysis working condition to calculate the design values of the microscopic parameters of the flexible support gear system; if the transmission error analysis result does not meet the requirements, it is necessary to optimize the gear pair to reduce the transmission error of the gear pair; Performing a micro-parameter tolerance analysis on the initial design values of the micro-parameters, and determining the micro-parameter range of the flexible support gear system based on the results of the micro-parameter tolerance analysis, wherein the steps include defining a crowning amount, a pressure angle modification amount, and a helix angle modification amount according to actual needs, and using the crowning amount, the pressure angle modification amount, and the helix angle modification amount as analysis variables; determining a micro-practice parameter combination matrix based on the analysis variables, and simplifying the tolerance analysis of the micro-practice parameter combination matrix based on variable parameter characteristics; and obtaining the micro-parameter range of the flexible support gear system based on the simplified tolerance analysis results of the variable parameter characteristics; The micro-parameter range of the flexible support gear system is evaluated, and the nominal design value and tolerance of the micro-parameter of the flexible support gear system are determined according to the evaluation result.

2. The method for controlling gear noise of a motor reducer according to claim 1, characterized in that: The specific steps of establishing the reducer housing structure grid model are as follows: Importing the motor reducer housing structural parameters into finite element software to obtain an initial mesh model of the reducer housing structure, inputting corresponding material parameters according to the actual motor reducer housing material type to obtain the reducer housing structure mesh model; finally, verifying the validity of the reducer housing structure mesh model through modal calculation; the mesh model is a second-order tetrahedron unit; The gear system dynamics model is specifically established as follows: A model including a meshing gear pair, a gear mounting shaft and a bearing is established in finite element software, and the meshing gear pair, the gear mounting shaft and the bearing model are assembled into an initial dynamic model of the gear system according to their position and structural relationships. Material parameters are input into the initial dynamic model of the gear system, and macro-design parameters and micro-design parameters of the meshing gear pair are input to obtain the dynamic model of the gear system.

3. The method for controlling gear noise of a motor reducer according to claim 2, characterized in that: The macro-design parameters include the number of gear teeth, module, pressure angle, rotation direction, helix angle, tooth width, modification coefficient and pitch circle diameter; the micro-design parameters include the drum shape, pressure angle modification amount and helix angle modification amount.

4. The method for controlling gear noise of a motor reducer according to claim 2, characterized in that: The flexible support gear system dynamics analysis model is obtained by combining the reducer housing structure grid model and the gear system dynamics model with a model optimization method, specifically, Importing the reducer housing structure grid model into the gear system dynamics model, and adjusting the positional relationship between the reducer housing structure grid model and the gear system dynamics model; Edit node connection: The gear mounting shaft is mounted on the reducer housing through a bearing. The bearing is connected to the flexible housing. The node of the bearing is connected to the bearing mounting surface of the flexible housing using a rigid unit. The connection point of the flexible housing is set as the main node. The flexible housing provides a rigid boundary for the movement of the gear mounting shaft. Performing dynamic finite element polycondensation: setting the modal order or polycondensation frequency range to obtain the stiffness matrix and mass matrix of the flexible shell; Response nodes are selected at different positions on the surface of the flexible shell structure as monitoring points for gear flexibility dynamics analysis and response reference points for the vibration magnitude of the flexible shell, thereby completing the establishment of a dynamics analysis model for the vehicle flexible support gear system.

5. The method for controlling gear noise of a motor reducer according to claim 1, characterized in that: The micro-parameter range of the flexible support gear system is evaluated, and the nominal design value and tolerance of the micro-parameter of the flexible support gear system are determined according to the evaluation result, specifically, Based on the maximum pressure or transmission error peak as the evaluation index, the micro-parameter design variables are selected within the tolerance analysis results that meet the design requirements; Based on the selected value range of the micro-parameter design variables, the rationality of the nominal design values and tolerances of the micro-parameters of the flexible support gear system is calculated and evaluated.

6. A motor reducer gear noise control system according to any one of claims 1 to 5, characterized in that: The system comprises, A first acquisition module is used to acquire various relevant parameters of the target motor reducer, wherein the relevant parameters include the number of gear teeth, module, pressure angle, hand direction, helix angle, tooth width, modification coefficient, pitch circle diameter, crowning amount, pressure angle modification amount, and helix angle modification amount; a first modeling module, which establishes a housing structure grid model and a gear system dynamics model of the target motor reducer according to various relevant parameters of the target motor reducer acquired by the first acquisition module; A second modeling module is configured to establish a dynamic analysis model of the flexible support gear system based on the reducer housing structure grid model and the gear system dynamic model established by the first modeling module and in combination with a preset model optimization algorithm; A first analysis module, which obtains initial design values of microscopic parameters of the flexible support gear system by analyzing the gear meshing based on the dynamic analysis model of the flexible support gear system established by the second modeling module; A second analysis module is configured to obtain nominal design values of the micro parameters of the flexible support gear system through micro parameter tolerance analysis based on the initial design values of the micro parameters of the flexible support gear system obtained by the first analysis module; A first evaluation module is configured to obtain the tolerance of the micro parameters of the flexible support gear system based on the nominal design values of the micro parameters of the flexible support gear system obtained by the second analysis module; The first output module is used to output the nominal design values of the microscopic parameters of the flexible support gear system obtained by the second analysis module and the tolerances of the microscopic parameters of the flexible support gear system obtained by the first evaluation module.

7. A vehicle comprising a processor, characterized in that A memory for storing instructions executable by the processor; wherein the processor is configured to: A method for controlling gear noise of a motor reducer is implemented as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that The storage medium stores a motor reducer gear noise control program, and when the motor reducer gear noise control program is executed by the processor, a motor reducer gear noise control method according to any one of claims 1 to 5 is implemented.

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