Method for evaluating and optimizing the whistling of a gearbox gear and related device

Abstract

This invention provides a method and related equipment for evaluating and optimizing gearbox gear squeal. The method includes: acquiring a target model; inputting the target parameters of the gearbox to be evaluated into the target model to obtain quality index values, which characterize the NVH performance of the gearbox; and determining the optimal parameter value combination and optimal machining tolerance combination corresponding to the target parameters of the gearbox based on the target model. By addressing gearbox gear squeal issues during the development phase, this invention allows for a more objective NVH ranking of test gearboxes and the determination of the optimal parameter value combination and optimal machining tolerance combination corresponding to the gearbox's target parameters. These optimal parameter value combinations and optimal machining tolerance combinations guide the optimization of gear parameters, thereby promoting further optimization of NVH performance.

Description

Technical Field

[0001] This invention relates to the field of gearbox vibration and noise analysis technology, and in particular to a method for evaluating and optimizing gear squeal in a reduction gearbox, as well as related equipment. Background Technology

[0002] Currently, gear squeal in gearboxes is mainly evaluated using two-dimensional graphs such as vibration speed diagrams and noise speed diagrams. As the number of test conditions and test samples increases, the number of curves in the graphs will increase accordingly, making comparative evaluation very difficult. Because of the curve comparison, there may be some intervals that are good and some that are bad, making it impossible to objectively and efficiently rank the NVH performance of the test sample gearboxes and guide further optimization of NVH performance. Summary of the Invention

[0003] The main objective of this invention is to provide a method and related equipment for evaluating and optimizing gearbox gear squeal, aiming to solve the technical problem that existing evaluation methods for gearbox gear squeal during the development stage cannot reasonably evaluate and verify when the test conditions and test samples increase, so as to guide NVH performance optimization.

[0004] In a first aspect, the present invention provides a method for evaluating and optimizing gearbox gear squeal, the method comprising the following steps:

[0005] Obtain the target model;

[0006] The target parameters of the gearbox to be evaluated are input into the target model to obtain the quality index value, which is used to characterize the NVH performance of the gearbox to be evaluated.

[0007] Based on the target model, determine the optimal combination of parameter values ​​and the optimal combination of machining tolerances corresponding to the target parameters of the gearbox to be evaluated.

[0008] Optionally, the following steps may be included before the step of obtaining the target model:

[0009] Acquire test data for each test sample's gearbox under various operating conditions, as well as the subjective NVH score results for the entire vehicle.

[0010] The NVH level of each test sample gearbox is evaluated based on the test data, and the quality index values ​​of each test sample gearbox under various operating conditions are obtained.

[0011] Establish a mapping relationship between the quality index value of each test sample gearbox and the subjective NVH score of the whole vehicle, and determine the target quality index value of the test sample gearbox under each working condition based on the limit value of the subjective score of the whole vehicle.

[0012] Obtain the target parameters corresponding to the gearbox of each test sample. These target parameters are strongly correlated with NVH performance.

[0013] The target model is obtained by fitting the quality index values ​​of each test sample gearbox under various operating conditions with the corresponding target parameters.

[0014] Optionally, before the step of evaluating the NVH level of each test sample gearbox based on the test data to obtain the quality index values ​​of each test sample gearbox under various operating conditions, the following steps are included:

[0015] A reference line is determined, which corresponds to the mapping relationship between rotational speed and vibration under the key evaluation conditions of the test sample gearbox. The first formula corresponding to the reference line is:

[0016] R(n) = 20log 10 (n / n0)+m

[0017] Where n is the gear speed of the gearbox in the test sample, n0 is the starting point of the speed range corresponding to the key evaluation condition, n1 is the ending point of the speed range corresponding to the key evaluation condition, and m is the adjustment value to ensure that when the speed n of the gearbox in all test samples is between n0 and n1, the corresponding value R(n) of the reference line is lower than the test result value T(n).

[0018] A second formula is used to determine the evaluation value of the quality indicator based on the reference line, and the second formula is:

[0019]

[0020] Where QI is the quality index, n is the gear speed of the test sample gearbox, d(n) is the interval width of the sampling points when the gear speed of the test sample gearbox is n, T(n) is the test result value when the gear speed of the test sample gearbox is n, and R(n) is the corresponding value of the reference line when the gear speed of the test sample gearbox is n.

[0021] Optionally, the step of determining the optimal combination of parameter values ​​and the optimal combination of machining tolerances corresponding to the target parameters of the gearbox to be evaluated based on the target model includes:

[0022] Based on the target model, determine the first parameter value combination corresponding to the target parameters;

[0023] Determine the initial tolerance combination corresponding to the target parameters;

[0024] Based on the first parameter value combination and the initial tolerance combination, a first set is exhaustively enumerated with a preset step size. The first set includes several target parameter value combinations.

[0025] Based on the function of the target model, determine the quality index values ​​corresponding to the combination of several target parameter values ​​in the first set under different working conditions;

[0026] When the pass rate of the quality index value corresponding to several target parameter value combinations in the first set under different working conditions is greater than the preset pass rate, the first parameter value combination is taken as the optimal parameter value combination, and the initial tolerance combination is taken as the optimal machining tolerance combination.

[0027] When the pass rate of the quality index value corresponding to several target parameter value combinations in the first set under different working conditions is less than the preset pass rate, the initial tolerance combination is tightened in descending order of the correlation degree of the parameters in the target model to obtain a new tolerance combination. The new tolerance combination is used as the initial tolerance combination, and the process returns to the step of determining the initial tolerance combination corresponding to the target parameter.

[0028] Secondly, the present invention also provides a gearbox gear squeal evaluation and optimization device, the gearbox gear squeal evaluation and optimization device comprising:

[0029] The acquisition module is used to acquire the target model;

[0030] The evaluation module is used to input the target parameters of the gearbox to be evaluated into the target model to obtain quality index values, which are used to characterize the NVH performance of the gearbox to be evaluated.

[0031] The optimization module is used to determine the optimal combination of parameter values ​​and the optimal combination of machining tolerances corresponding to the target parameters of the gearbox to be evaluated based on the target model.

[0032] Optionally, the gearbox gear squeal evaluation and optimization device further includes a modeling module for:

[0033] Acquire test data for each test sample's gearbox under various operating conditions, as well as the subjective NVH score results for the entire vehicle.

[0034] The NVH level of each test sample gearbox is evaluated based on the test data, and the quality index values ​​of each test sample gearbox under various operating conditions are obtained.

[0035] Establish a mapping relationship between the quality index value of each test sample gearbox and the subjective NVH score of the whole vehicle, and determine the target quality index value of the test sample gearbox under each working condition based on the limit value of the subjective score of the whole vehicle.

[0036] Obtain the target parameters corresponding to the gearbox of each test sample. These target parameters are strongly correlated with NVH performance.

[0037] The target model is obtained by fitting the quality index values ​​of each test sample gearbox under various operating conditions with the corresponding target parameters.

[0038] Optionally, the gearbox gear squeal evaluation and optimization device further includes a determination module for:

[0039] A reference line is determined, which corresponds to the mapping relationship between rotational speed and vibration under the key evaluation conditions of the test sample gearbox. The first formula corresponding to the reference line is:

[0040] R(n) = 20log 10 (n / n0)+m

[0041] Where n is the gear speed of the gearbox in the test sample, n0 is the starting point of the speed range corresponding to the key evaluation condition, n1 is the ending point of the speed range corresponding to the key evaluation condition, and m is the adjustment value to ensure that when the speed n of the gearbox in all test samples is between n0 and n1, the corresponding value R(n) of the reference line is lower than the test result value T(n).

[0042] A second formula is used to determine the evaluation value of the quality indicator based on the reference line, and the second formula is:

[0043]

[0044] Where QI is the quality index value, n is the gear speed of the test sample gearbox, d(n) is the interval width of the sampling points when the gear speed of the test sample gearbox is n, T(n) is the test result value when the gear speed of the test sample gearbox is n, and R(n) is the corresponding value of the reference line when the gear speed of the test sample gearbox is n.

[0045] Optionally, the optimization module is used for:

[0046] Based on the target model, determine the first parameter value combination corresponding to the target parameters;

[0047] Determine the initial tolerance combination corresponding to the target parameters;

[0048] Based on the first parameter value combination and the initial tolerance combination, a first set is exhaustively enumerated with a preset step size. The first set includes several target parameter value combinations.

[0049] Based on the function of the target model, determine the quality index values ​​corresponding to the combination of several target parameter values ​​in the first set under different working conditions;

[0050] When the pass rate of the quality index value corresponding to several target parameter value combinations in the first set under different working conditions is greater than the preset pass rate, the first parameter value combination is taken as the optimal parameter value combination, and the initial tolerance combination is taken as the optimal machining tolerance combination.

[0051] When the pass rate of the quality index value corresponding to several target parameter value combinations in the first set under different working conditions is less than the preset pass rate, the initial tolerance combination is tightened in descending order of the correlation degree of the parameters in the target model to obtain a new tolerance combination. The new tolerance combination is used as the initial tolerance combination, and the process returns to the step of determining the initial tolerance combination corresponding to the target parameter.

[0052] Thirdly, the present invention also provides a gearbox gear squeal evaluation and optimization device, the gearbox gear squeal evaluation and optimization device including a processor, a memory, and a gearbox gear squeal evaluation and optimization program stored in the memory and executable by the processor, wherein when the gearbox gear squeal evaluation and optimization program is executed by the processor, the steps of the gearbox gear squeal evaluation and optimization method as described above are implemented.

[0053] Fourthly, the present invention also provides a readable storage medium storing a gearbox gear squeal evaluation and optimization program, wherein when the gearbox gear squeal evaluation and optimization program is executed by a processor, the steps of the gearbox gear squeal evaluation and optimization method as described above are implemented.

[0054] This invention provides a method, apparatus, device, and readable storage medium for evaluating and optimizing gearbox gear squeal. The method includes: acquiring a target model; inputting the target parameters of the gearbox to be evaluated into the target model to obtain quality index values, which characterize the NVH performance of the gearbox; and determining the optimal parameter value combination and optimal machining tolerance combination corresponding to the target parameters of the gearbox based on the target model. This invention, during the development phase, addresses gearbox gear squeal issues by providing a more objective NVH ranking for test samples and obtaining the optimal parameter value combination and optimal machining tolerance combination corresponding to the gearbox's target parameters. These optimal parameter value combinations and optimal machining tolerance combinations guide the optimization of gear parameters, thereby promoting further optimization of NVH performance. Attached Figure Description

[0055] Figure 1 This is a schematic diagram of the hardware structure of the gearbox gear squeal evaluation and optimization device involved in the embodiment of the present invention;

[0056] Figure 2 This is a flowchart illustrating an embodiment of the gearbox gear squeal evaluation and optimization method of the present invention;

[0057] Figure 3 This is a flowchart illustrating another embodiment of the gearbox gear squeal evaluation and optimization method of the present invention;

[0058] Figure 4This is a flowchart illustrating another embodiment of the gearbox gear squeal evaluation and optimization method of the present invention.

[0059] Figure 5 This is a schematic diagram of the functional modules of an embodiment of the gearbox gear squeal evaluation and optimization device of the present invention.

[0060] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0061] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0062] In a first aspect, embodiments of the present invention provide a device for evaluating and optimizing gear squeal in a gearbox.

[0063] Reference Figure 1 , Figure 1 This is a schematic diagram of the hardware structure of the gearbox gear squeal evaluation and optimization device involved in the embodiments of the present invention. In this embodiment, the gearbox gear squeal evaluation and optimization device may include a processor 1001 (e.g., a Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to realize communication between these components; the user interface 1003 may include a display screen or an input unit such as a keyboard; the network interface 1004 may optionally include a standard wired interface or a wireless interface (e.g., Wireless Fidelity, Wi-Fi interface); the memory 1005 may be high-speed random access memory (RAM) or stable memory (non-volatile memory), such as a disk storage device; the memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001. Those skilled in the art will understand that… Figure 1 The hardware structure shown does not constitute a limitation of the invention and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0064] Continue to refer to Figure 1 , Figure 1The memory 1005, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and a gearbox gear squeal evaluation and optimization program. The processor 1001 can call the gearbox gear squeal evaluation and optimization program stored in the memory 1005 and execute the gearbox gear squeal evaluation and optimization method provided in this embodiment of the invention.

[0065] Secondly, embodiments of the present invention provide a method for evaluating and optimizing gear squeal in a gearbox.

[0066] Reference Figure 2 , Figure 2 This is a flowchart illustrating an embodiment of the gearbox gear squeal evaluation and optimization method of the present invention.

[0067] In one embodiment of the gearbox gear squeal evaluation and optimization method of the present invention, the gearbox gear squeal evaluation and optimization method includes:

[0068] Step S10: Obtain the target model;

[0069] In this embodiment, a target model is obtained. This target model is derived by fitting the NVH level evaluation results of the test sample gearbox with the target parameters that are strongly correlated with NVH performance of the test sample gearbox. It can be used to evaluate and optimize gearbox gear squeal. The target model obtained above can more objectively rank the NVH of the test sample gearbox to be evaluated during the development phase, specifically addressing gearbox gear squeal issues, thereby guiding further improvement of NVH performance.

[0070] Furthermore, in one embodiment, reference is made to Figure 3 Before step S10, the following is included:

[0071] Step S01: Obtain test data for each test sample gearbox under various operating conditions and the subjective NVH score results for the whole vehicle;

[0072] Step S02: Based on the test data, evaluate the NVH level of each test sample gearbox to obtain the quality index values ​​of each test sample gearbox under various operating conditions.

[0073] Step S03: Establish the mapping relationship between the quality index value of each test sample gearbox and the subjective NVH score of the whole vehicle, and determine the target quality index value of the test sample gearbox under each working condition based on the limit value of the subjective score of the whole vehicle.

[0074] Step S04: Obtain the target parameters corresponding to the gearbox of each test sample. The target parameters are strongly correlated with NVH performance.

[0075] Step S05: Fit the quality index values ​​of each test sample gearbox under various working conditions with the corresponding target parameters to obtain the target model.

[0076] In this embodiment, before the step of obtaining the target model described above, it is necessary to fit the evaluation results of the NVH level obtained from the test sample gearbox with the target parameters that are strongly correlated with the NVH performance of the test sample gearbox to obtain the target model. Specifically, the step of fitting the evaluation results of the NVH level obtained from the test sample gearbox with the target parameters that are strongly correlated with the NVH performance of the test sample gearbox to obtain the target model includes:

[0077] The test data for each test sample's gearbox and the subjective NVH score for the entire vehicle are obtained. These test data and subjective NVH scores are based on bench tests and vehicle tests. Specifically, the steps for obtaining the test data and subjective NVH scores based on bench tests and vehicle tests include:

[0078] Develop test condition tables for both bench and vehicle testing. The vehicle test condition table includes input speed, input torque, and gearbox oil temperature, defining acceleration and deceleration conditions. The acceleration condition is defined as the speed increasing from 500 rpm to 12000 rpm, with torque at 15%, 25%, 50%, 75%, and 100% of the gearbox's external characteristic curve. The deceleration condition is defined as the speed decreasing from 12000 rpm to 500 rpm, with torque at -15%, -25%, and -50% of the load. See Table 1 for details.

[0079] Table 1

[0080]

[0081]

[0082] Data acquisition equipment and sensors were deployed. Vibration acceleration and microphone sensors were placed at reference points on the gearboxes of each test sample. Bench tests were conducted in a laboratory, while vehicle tests were conducted on a smooth asphalt road in a relatively quiet environment, with microphone sensors placed at the driver's ears inside the vehicle. Bench tests and vehicle tests were performed on each gearbox according to the established test conditions. While collecting vibration and noise data, speed, torque, and oil temperature signals were simultaneously collected as data obtained from the tests under the established test conditions, and subjective scoring results within the vehicle were recorded.

[0083] After obtaining the above test data, the NVH level of each test sample gearbox was evaluated, and a quality index value was obtained for each test sample gearbox. This quality index value characterizes how closely the vibration results measured at different speeds of each test sample gearbox are close to the vibration results corresponding to the reference line. The smaller the quality index value, the closer the test results are to the reference line results. The closer the test results are to the reference line results, the better the NVH level of this test sample gearbox is within that speed range.

[0084] The quality index values ​​of each test sample gearbox obtained based on the above test data are mapped to the subjective NVH score of the whole vehicle to establish a mapping relationship between the quality index value of each test sample gearbox and the subjective NVH score of the whole vehicle. The target quality index value corresponding to the test sample gearbox is then determined based on the limit of the subjective NVH score. For example, if the number of test sample gearboxes is generally greater than 10, and the quality index value of one sample gearbox is 25, the obtained subjective NVH score of the whole vehicle is 7 points (out of 10). To ensure that the obtained NVH level of the whole vehicle reaches the passing level, i.e., vibration and noise will not significantly affect the driving comfort of passengers, 7 points is taken as the passing level of NVH performance. If the target quality index value corresponding to the subjective NVH score of this test sample gearbox under a certain working condition is 25, then the upper limit of the critically acceptable quality index value of this test sample gearbox under this working condition is 25. If the quality index value is greater than 25, it means that the NVH performance of this test sample gearbox under this working condition cannot reach the passing level.

[0085] The target parameters for each test sample gearbox are obtained, and these target parameters are derived from Design of Effect (DOE) analysis. Specifically, based on design and project experience, the main parameters for each test sample gearbox are obtained. These parameters include, but are not limited to, gear parameters, housing parameters, and mating parameters. Then, DOE analysis is performed on the quality index values ​​of each test sample gearbox and the aforementioned main parameters to identify parameters strongly correlated with NVH performance. These parameters, such as tooth profile tilt deviation (fHα), tooth surface twist (Bias), and tooth profile bulging (Cβ), can correspondingly affect the NVH performance of the gearbox.

[0086] Define the target parameter corresponding to each test sample gearbox as a factor, and the quality index value of each test sample gearbox as the result. Summarize the corresponding tables of test sample gearboxes, as shown in Table 2. Use DOE analysis software (such as Minitab) to fit a regression model for each test sample gearbox (more than 10 units, such as samples 1-12 in Table 2) to obtain the target model. This target model can be used for the evaluation and optimization of gearbox gear squeal.

[0087] Table 2

[0088]

[0089] Furthermore, in one embodiment, the procedure prior to step S02 includes:

[0090] A reference line is established, which corresponds to the mapping relationship between rotational speed and vibration under the key evaluation conditions of the gearbox gear in the test sample. The first formula corresponding to the reference line is:

[0091] R(n) = 20log 10 (n / n0)+m

[0092] Where n is the gear speed of the gearbox in the test sample, n0 is the starting point of the speed range corresponding to the key evaluation condition, n1 is the ending point of the speed range corresponding to the key evaluation condition, and m is the adjustment value to ensure that when the speed n of the gearbox in all test samples is between n0 and n1, the corresponding value R(n) of the reference line is lower than the test result value T(n).

[0093] A second formula is used to determine the evaluation value of the quality indicator based on the reference line, and the second formula is:

[0094]

[0095] Where n is the rotational speed of the gearbox gear in the test sample, d(n) is the interval width of the sampling points when the rotational speed of the gearbox gear in the test sample is n, T(n) is the test result value when the rotational speed of the gearbox gear in the test sample is n, and R(n) is the corresponding value of the reference line when the rotational speed of the gearbox gear in the test sample is n.

[0096] In this embodiment, before evaluating the NVH level of each test sample gearbox based on the test data to obtain the quality index value of each test sample gearbox, a calculation formula for evaluating the quality index value will be determined first. Specifically, the step of determining the calculation formula for evaluating the quality index value includes:

[0097] First, a reference line is established. After obtaining the vibration speed diagram by testing each test sample gearbox under different operating conditions, there may be some operating condition ranges with good performance and others with poor performance. Therefore, after obtaining the vibration speed diagram, the key evaluation conditions are determined based on the product's historical problem list, customer needs, and vehicle evaluation results, such as the 3000-8000 rpm speed range with 15% torque load. Within the aforementioned key evaluation operating conditions' speed range, a reference line is established. This reference line corresponds to the mapping relationship between speed and vibration of the test sample gearboxes under the key evaluation operating conditions. To ensure that when the speed n of all test sample gearbox gears falls between n0 (the starting point of the speed range corresponding to the key evaluation operating conditions) and n1 (the ending point of the speed range corresponding to the key evaluation operating conditions), the reference line's corresponding value R(n) is always lower than the test result value T(n). An adjustment value is used to adjust the reference line accordingly. This avoids a situation where some test results are higher than the reference line and some are lower than the reference line within the key evaluation operating conditions range, which would prevent an objective and efficient comparison of the test results with the reference line values, thus hindering the ranking of NVH performance of the test sample gearboxes. The first formula corresponding to the reference line is:

[0098] R(n) = 20log 10 (n / n0)+m

[0099] Where n is the gear speed of the gearbox in the test sample, n0 is the starting point of the speed range corresponding to the key evaluation condition, n1 is the ending point of the speed range corresponding to the key evaluation condition, and m is the adjustment value to ensure that when the speed n of the gearbox in all test samples is between n0 and n1, the corresponding value R(n) of the reference line is lower than the test result value T(n).

[0100] Then, based on the reference line, a second formula is determined to evaluate the values ​​of the above quality indicators. The second formula is:

[0101]

[0102] Wherein, QI is the quality index value, n is the gear speed of the test sample gearbox, d(n) is the interval width of the sampling points when the gear speed of the test sample gearbox is n, T(n) is the test result value when the gear speed of the test sample gearbox is n, and R(n) is the corresponding value of the reference line when the gear speed of the test sample gearbox is n. The above quality index values ​​are used to characterize the degree of closeness between the vibration results measured for each test sample gearbox at different speeds and the vibration results corresponding to the reference line. The smaller the quality index value, the closer the test result is to the reference line result. The closer the test result is to the reference line result, the better the NVH level of this test sample gearbox is within that speed range.

[0103] Step S20: Input the target parameters of the gearbox to be evaluated into the target model to obtain the quality index value. The quality index value is used to characterize the NVH performance of the gearbox to be evaluated.

[0104] In this embodiment, after obtaining the target model, the target parameters of the gearbox to be evaluated can be input into the target model to obtain quality index values. The quality index values ​​can be used to characterize the NVH performance of the gearbox to be evaluated.

[0105] Step S30: Based on the target model, determine the optimal parameter value combination and the optimal machining tolerance combination corresponding to the target parameters of the gearbox to be evaluated.

[0106] In this embodiment, after obtaining the target model, the target parameters of the gearbox to be evaluated can be input into the target model to obtain quality index values. If the quality index value is greater than the target quality index value, it does not meet the passing level of NVH performance; or if the quality index value is less than the target quality index value, but there is a higher requirement for NVH performance, then the optimal parameter value combination and the optimal machining tolerance combination corresponding to the target parameters of the gearbox to be evaluated can be determined based on the target model. The optimal parameter value combination can minimize the quality index value of the gearbox to be evaluated under different operating conditions, and the optimal machining tolerance combination can, based on the optimal parameter value combination, make it easiest to machine the target parameters corresponding to the gears of the gearbox to be evaluated, while meeting the overall NVH performance requirements.

[0107] Furthermore, in one embodiment, reference is made to Figure 4 Step S30 further includes:

[0108] Step S301: Determine the first parameter value combination corresponding to the target parameter based on the target model;

[0109] Step S302: Determine the initial tolerance combination corresponding to the target parameters;

[0110] Step S303: Based on the first parameter value combination and the initial tolerance, exhaustively enumerate the first set with a preset step size. The first set includes several target parameter value combinations.

[0111] Step S304: Based on the function of the target model, determine the quality index values ​​corresponding to the combination of several target parameter values ​​in the first set under different working conditions;

[0112] Step S305: When the pass rate of the quality index value corresponding to the combination of several target parameter values ​​in the first set under different working conditions is greater than the preset pass rate, the first parameter value combination is taken as the optimal parameter value combination, and the initial tolerance combination is taken as the optimal machining tolerance combination.

[0113] Step S306: When the pass rate of the quality index value corresponding to the combination of several target parameter values ​​in the first set under different working conditions is less than the preset pass rate, tighten the initial tolerance combination according to the order of the correlation degree of the parameters in the target model from large to small to obtain a new tolerance combination. Use the new tolerance combination as the initial tolerance combination and return to the step of determining the initial tolerance combination corresponding to the target parameter.

[0114] In this embodiment, specifically, the steps of determining the optimal combination of parameter values ​​and the optimal combination of machining tolerances corresponding to the target parameters of the gearbox to be evaluated based on the target model include:

[0115] The weights corresponding to different target parameters of the gearbox to be evaluated are defined, and the target quality index values ​​of the gearbox under various operating conditions are determined. A minimization calculation is performed to ensure that the quality index values ​​of the gearbox under various operating conditions are as small as possible below the target quality index values. Different combinations of parameter values ​​corresponding to the target parameters are substituted into the target model to obtain the quality index values ​​under various operating conditions. Based on the obtained quality index values, the first parameter value combination corresponding to the target parameters of the gearbox to be evaluated can be obtained. Finally, based on project experience and equipment machining accuracy, the initial tolerance combination corresponding to the above target parameters is determined.

[0116] Based on the first parameter value combination and the initial tolerance combination, a first set is exhaustively enumerated with a preset step size. The first set includes several target parameter value combinations. For example: if the first parameter value combination corresponding to the target parameter {fHα, Bais, Cβ} is determined to be {0.5, -3.0, 9.0}, in μm, and the initial tolerance combination corresponding to the target parameter {fHα, Bais, Cβ} is {±3.0, ±6.0, ±3.0}, in μm, then the value range of the target parameter {fHα, Bais, Cβ} is {0.5±3.0, -3.0±6.0, 9.0±3.0}. All target parameter value combinations are exhaustively enumerated with a preset step size of 0.5, such as {0.5, -3.0, 9.0}, {0.5, -3.0, 9.5}, ...

[0117] The function of the target model is extracted, and based on the function, the corresponding quality index values ​​of several target parameter value combinations in the first set under different working conditions are determined. When the pass rate of the quality index values ​​corresponding to the several target parameter value combinations in the first set under different working conditions is greater than the preset pass rate, it means that the initial tolerance combination can meet the NVH performance requirements as a whole based on the first parameter value combination; and the initial tolerance combination can make the target parameters corresponding to the gearbox gear to be evaluated easiest to process based on the first parameter value combination. Therefore, at this time, the first parameter value combination is taken as the optimal parameter value combination, and the initial tolerance combination is taken as the optimal processing tolerance combination.

[0118] When the pass rate of quality index values ​​corresponding to several target parameter value combinations in the first set under different working conditions is less than the preset pass rate, it means that the above initial tolerance combination cannot meet the overall NVH performance requirements based on the first parameter value combination. At this time, it is necessary to tighten the initial tolerance combination according to the parameter correlation degree in the target model from large to small to obtain a new tolerance combination. For example, if the correlation degree of the target parameters is Cβ > fHα > Bais, then the tolerance combination corresponding to the first tightening can be {±3.0, ±6.0, ±2.5}. Using the new tolerance combination as the initial tolerance combination, return to the step of determining the initial tolerance combination corresponding to the target parameter. Until the pass rate of quality index values ​​corresponding to several target parameter value combinations in the first set under different working conditions is greater than the preset pass rate, the first parameter value combination is taken as the optimal parameter value combination, and the latest initial tolerance combination is taken as the optimal machining tolerance combination.

[0119] This embodiment provides a method for evaluating and optimizing gearbox gear squeal, including: acquiring a target model; inputting the target parameters of the gearbox to be evaluated into the target model to obtain quality index values, wherein the quality index values ​​are used to characterize the NVH performance of the gearbox to be evaluated; and determining the optimal parameter value combination and the optimal machining tolerance combination corresponding to the target parameters of the gearbox to be evaluated based on the target model. This invention, during the development phase, addresses gearbox gear squeal issues by providing a more objective NVH ranking for test samples to be evaluated, and obtaining the optimal parameter value combination and the optimal machining tolerance combination corresponding to the target parameters of the gearbox. These optimal parameter value combinations and optimal machining tolerance combinations guide the optimization of gear parameters, thereby promoting further optimization of the gearbox's NVH performance.

[0120] Thirdly, embodiments of the present invention also provide a device for evaluating and optimizing gear squeal in a gearbox.

[0121] Reference Figure 5 A schematic diagram of the functional modules of an embodiment of a gearbox gear squeal evaluation and optimization device.

[0122] In this embodiment, the gearbox gear squeal evaluation and optimization device includes:

[0123] Module 10 is used to acquire the target model;

[0124] Evaluation module 20 is used to input the target parameters of the gearbox to be evaluated into the target model to obtain quality index values, which are used to characterize the NVH performance of the gearbox to be evaluated.

[0125] The optimization module 30 is used to determine the optimal combination of parameter values ​​and the optimal combination of machining tolerances corresponding to the target parameters of the gearbox to be evaluated based on the target model.

[0126] Furthermore, in one embodiment, the gearbox gear squeal evaluation and optimization device further includes a modeling module, used for:

[0127] Acquire test data for each test sample's gearbox under various operating conditions, as well as the subjective NVH score results for the entire vehicle.

[0128] The NVH level of each test sample gearbox is evaluated based on the test data, and the quality index values ​​of each test sample gearbox under various operating conditions are obtained.

[0129] Establish a mapping relationship between the quality index value of each test sample gearbox and the subjective NVH score of the whole vehicle, and determine the target quality index value of the test sample gearbox under each working condition based on the limit value of the subjective score of the whole vehicle.

[0130] Obtain the target parameters corresponding to the gearbox of each test sample. These target parameters are strongly correlated with NVH performance.

[0131] The target model is obtained by fitting the quality index values ​​of each test sample gearbox under various operating conditions with the corresponding target parameters.

[0132] Furthermore, in one embodiment, the gearbox gear squeal evaluation and optimization device further includes a determination module, used for:

[0133] A reference line is determined, which corresponds to the mapping relationship between rotational speed and vibration under the key evaluation conditions of the test sample gearbox. The first formula corresponding to the reference line is:

[0134] R(n) = 20log 10 (n / n0)+m

[0135] Where n is the gear speed of the gearbox in the test sample, n0 is the starting point of the speed range corresponding to the key evaluation condition, n1 is the ending point of the speed range corresponding to the key evaluation condition, and m is the adjustment value to ensure that when the speed n of the gearbox in all test samples is between n0 and n1, the corresponding value R(n) of the reference line is lower than the test result value T(n).

[0136] A second formula is used to determine the evaluation value of the quality indicator based on the reference line, and the second formula is:

[0137]

[0138] Where QI is the quality index value, n is the gear speed of the test sample gearbox, d(n) is the interval width of the sampling points when the gear speed of the test sample gearbox is n, T(n) is the test result value when the gear speed of the test sample gearbox is n, and R(n) is the corresponding value of the reference line when the gear speed of the test sample gearbox is n.

[0139] Furthermore, in one embodiment, the optimization module 30 is used to:

[0140] Based on the target model, determine the first parameter value combination corresponding to the target parameters;

[0141] Determine the initial tolerance combination corresponding to the target parameters;

[0142] Based on the first parameter value combination and the initial tolerance combination, a first set is exhaustively enumerated with a preset step size. The first set includes several target parameter value combinations.

[0143] Based on the function of the target model, determine the quality index values ​​corresponding to the combination of several target parameter values ​​in the first set under different working conditions;

[0144] When the pass rate of the quality index value corresponding to several target parameter value combinations in the first set under different working conditions is greater than the preset pass rate, the first parameter value combination is taken as the optimal parameter value combination, and the initial tolerance combination is taken as the optimal machining tolerance combination.

[0145] When the pass rate of the quality index value corresponding to several target parameter value combinations in the first set under different working conditions is less than the preset pass rate, the initial tolerance combination is tightened in descending order of the correlation degree of the parameters in the target model to obtain a new tolerance combination. The new tolerance combination is used as the initial tolerance combination, and the process returns to the step of determining the initial tolerance combination corresponding to the target parameter.

[0146] The functions of each module in the aforementioned gearbox gear squeal evaluation and optimization device correspond to the steps in the aforementioned gearbox gear squeal evaluation and optimization method embodiment, and their functions and implementation processes will not be described in detail here.

[0147] Fourthly, embodiments of the present invention also provide a readable storage medium.

[0148] The present invention stores a gearbox gear squeal evaluation and optimization program on a readable storage medium, wherein when the gearbox gear squeal evaluation and optimization program is executed by a processor, the steps of the gearbox gear squeal evaluation and optimization method described above are implemented.

[0149] The method implemented when the gearbox gear squeal evaluation and optimization procedure is executed can be referred to in various embodiments of the gearbox gear squeal evaluation and optimization method of the present invention, and will not be repeated here.

[0150] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0151] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0152] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of the present invention.

[0153] The above are merely preferred embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method of gearbox gear whine assessment and optimisation, characterised by, The gearbox whistling evaluation and optimization method includes: Obtain the target model; The target parameters of the gearbox to be evaluated are input into the target model to obtain the quality index value, which is used to characterize the NVH performance of the gearbox to be evaluated. Based on the target model, determine the optimal combination of parameter values ​​and the optimal combination of machining tolerances corresponding to the target parameters of the gearbox to be evaluated; The steps of determining the optimal combination of parameter values ​​and the optimal combination of machining tolerances corresponding to the target parameters of the gearbox to be evaluated based on the target model include: Based on the target model, determine the first parameter value combination corresponding to the target parameters; Determine the initial tolerance combination corresponding to the target parameters; Based on the first parameter value combination and the initial tolerance combination, a first set is exhaustively enumerated with a preset step size. The first set includes several target parameter value combinations. Based on the function of the target model, determine the quality index values ​​corresponding to the combination of several target parameter values ​​in the first set under different working conditions; When the pass rate of the quality index value corresponding to several target parameter value combinations in the first set under different working conditions is greater than the preset pass rate, the first parameter value combination is taken as the optimal parameter value combination, and the initial tolerance combination is taken as the optimal machining tolerance combination. When the pass rate of the quality index value corresponding to several target parameter value combinations in the first set under different working conditions is less than the preset pass rate, the initial tolerance combination is tightened in descending order of the correlation degree of the parameters in the target model to obtain a new tolerance combination. The new tolerance combination is used as the initial tolerance combination, and the process returns to the step of determining the initial tolerance combination corresponding to the target parameter.

2. The reduction gearbox gear whine assessment and optimization method of claim 1, wherein, Prior to the step of obtaining the target model, the following steps are included: Acquire test data for each test sample's gearbox under various operating conditions, as well as the subjective NVH score results for the entire vehicle. The NVH level of each test sample gearbox is evaluated based on the test data, and the quality index values ​​of each test sample gearbox under various operating conditions are obtained. Establish a mapping relationship between the quality index value of each test sample gearbox and the subjective NVH score of the whole vehicle, and determine the target quality index value of the test sample gearbox under each working condition based on the limit value of the subjective score of the whole vehicle. Obtain the target parameters corresponding to the gearbox of each test sample. These target parameters are strongly correlated with NVH performance. The target model is obtained by fitting the quality index values ​​of each test sample gearbox under various operating conditions with the corresponding target parameters.

3. The reduction gearbox gear whine assessment and optimization method of claim 2, wherein, Before the step of evaluating the NVH level of each test sample gearbox based on the test data and obtaining the quality index values ​​of each test sample gearbox under various operating conditions, the following steps are included: A reference line is determined, which corresponds to the mapping relationship between rotational speed and vibration under the key evaluation conditions of the test sample gearbox. The first formula corresponding to the reference line is: Where n is the gear speed of the gearbox in the test sample, n0 is the starting point of the speed range corresponding to the key evaluation condition, n1 is the ending point of the speed range corresponding to the key evaluation condition, and m is the adjustment value to ensure that when the speed n of the gearbox in all test samples is between n0 and n1, the corresponding value R(n) of the reference line is lower than the test result value T(n). A second formula is used to determine the evaluation value of the quality indicator based on the reference line, and the second formula is: in, Here, n is the speed of the gearbox gear in the test sample, d(n) is the interval width of the sampling points when the speed of the gearbox gear in the test sample is n, T(n) is the test result value when the speed of the gearbox gear in the test sample is n, and R(n) is the corresponding value of the reference line when the speed of the gearbox gear in the test sample is n.

4. A device for evaluating and optimizing gear squeal in a gearbox, characterized in that, The gearbox gear squeal evaluation and optimization device includes: The acquisition module is used to acquire the target model; The evaluation module is used to input the target parameters of the gearbox to be evaluated into the target model to obtain quality index values, which are used to characterize the NVH performance of the gearbox to be evaluated. The optimization module is used to determine the optimal combination of parameter values ​​and the optimal combination of machining tolerances corresponding to the target parameters of the gearbox to be evaluated based on the target model. The optimization module is used for: Based on the target model, determine the first parameter value combination corresponding to the target parameters; Determine the initial tolerance combination corresponding to the target parameters; Based on the first parameter value combination and the initial tolerance combination, a first set is exhaustively enumerated with a preset step size. The first set includes several target parameter value combinations. Based on the function of the target model, determine the quality index values ​​corresponding to the combination of several target parameter values ​​in the first set under different working conditions; When the pass rate of the quality index value corresponding to several target parameter value combinations in the first set under different working conditions is greater than the preset pass rate, the first parameter value combination is taken as the optimal parameter value combination, and the initial tolerance combination is taken as the optimal machining tolerance combination. When the pass rate of the quality index value corresponding to several target parameter value combinations in the first set under different working conditions is less than the preset pass rate, the initial tolerance combination is tightened in descending order of the correlation degree of the parameters in the target model to obtain a new tolerance combination. The new tolerance combination is used as the initial tolerance combination, and the process returns to the step of determining the initial tolerance combination corresponding to the target parameter.

5. A gearbox gear squeal evaluation and optimization device as claimed in claim 4, characterized in that, The gearbox gear squeal evaluation and optimization device also includes a modeling module for: Acquire test data for each test sample's gearbox under various operating conditions, as well as the subjective NVH score results for the entire vehicle. The NVH level of each test sample gearbox is evaluated based on the test data, and the quality index values ​​of each test sample gearbox under various operating conditions are obtained. Establish a mapping relationship between the quality index value of each test sample gearbox and the subjective NVH score of the whole vehicle, and determine the target quality index value of the test sample gearbox under each working condition based on the limit value of the subjective score of the whole vehicle. Obtain the target parameters corresponding to the gearbox of each test sample. These target parameters are strongly correlated with NVH performance. The target model is obtained by fitting the quality index values ​​of each test sample gearbox under various operating conditions with the corresponding target parameters.

6. The gearbox gear squeal evaluation and optimization device as claimed in claim 4, characterized in that, The gearbox gear squeal evaluation and optimization device further includes a determination module for: A reference line is determined, which corresponds to the mapping relationship between rotational speed and vibration under the key evaluation conditions of the test sample gearbox. The first formula corresponding to the reference line is: Where n is the gear speed of the gearbox in the test sample, n0 is the starting point of the speed range corresponding to the key evaluation condition, n1 is the ending point of the speed range corresponding to the key evaluation condition, and m is the adjustment value to ensure that when the speed n of the gearbox in all test samples is between n0 and n1, the corresponding value R(n) of the reference line is lower than the test result value T(n). A second formula is used to determine the evaluation value of the quality indicator based on the reference line, and the second formula is: in, Here, denoted as , n is the gear speed of the test sample gearbox, d(n) is the interval width of the sampling points when the gear speed of the test sample gearbox is n, T(n) is the test result value when the gear speed of the test sample gearbox is n, and R(n) is the corresponding value of the reference line when the gear speed of the test sample gearbox is n.

7. A device for evaluating and optimizing gearbox gear squeal, characterized in that, The gearbox gear squeal evaluation and optimization device includes a processor, a memory, and a gearbox gear squeal evaluation and optimization program stored in the memory and executable by the processor, wherein when the gearbox gear squeal evaluation and optimization program is executed by the processor, the steps of the gearbox gear squeal evaluation and optimization method as described in any one of claims 1 to 3 are implemented.

8. A readable storage medium, characterized in that, The readable storage medium stores a gearbox gear squeal evaluation and optimization program, wherein when the gearbox gear squeal evaluation and optimization program is executed by a processor, it implements the steps of the gearbox gear squeal evaluation and optimization method as described in any one of claims 1 to 3.

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