A method, system and device for optimizing a gear modification parameter of a transmission

Abstract

This invention provides a method, system, and device for optimizing gear profile modification parameters in a transmission, relating to the field of transmission gear profile modification technology. The method includes: constructing a simulation model of the transmission assembly structure; calculating the median point of the modification amount; randomly adding modification amount samples and conducting on-machine NVH tests to obtain measured NVH data; using a modification-vibration generalized extension approximation model, calculating the generalized extension approximation function curves between the tooth profile modification amount and the tooth direction modification amount and the vibration noise value, respectively, to determine the modification amount distribution range; splitting the median point of the modification amount and the modification amount distribution range; reselecting the median point of the modification amount; randomly selecting a preset number of modification amount samples, calculating the set of tooth profile modification amounts, the set of tooth direction modification amounts, and the corresponding transmission error set that satisfy a normal distribution; and statistically analyzing the transmission error set to obtain an NVH distribution pattern diagram. This scheme can effectively design and simulate optimal modification parameters, eliminating subjective factors in the design process.

Description

Technical Field

[0001] This invention relates to the field of transmission gear modification technology, and in particular to a method, system and device for optimizing transmission gear modification parameters. Background Technology

[0002] Currently, new energy electric drive products are widely used in various vehicles, requiring not only strong power and high speed but also low noise. As a crucial power source for new energy vehicles, the NVH performance (noise, vibration, and harshness) of the electric drive assembly directly affects the vehicle's noise level. Since the meshing noise of the transmission gears is the main noise source of the electric drive assembly, determining superior gear profile parameters is particularly important for improving the NVH performance of the electric drive.

[0003] Traditional methods for determining gear profile parameters often rely on the designer's experience and extensive experimental verification. This approach is not only highly subjective but also time-consuming and costly, resulting in slow improvements in NVH performance. Summary of the Invention

[0004] The purpose of this invention is to provide a method, system, and apparatus for optimizing the profile parameters of transmission gears, so as to solve at least one of the above-mentioned technical problems existing in the prior art.

[0005] In a first aspect, to solve the above-mentioned technical problems, the present invention provides a method for optimizing the profile parameters of transmission gears, comprising the following steps: Step 1: Determine the load spectrum conditions, accuracy class (e.g., grade 5 or 6 accuracy), transmission error (TE) class, and tolerance range of the transmission gears; the load spectrum conditions include load conditions arranged in chronological order, used to determine the gear modification condition range and NVH risk distribution condition range.

[0006] In one feasible implementation, the gear modification operating condition range and the NVH risk distribution operating condition range can be set according to the vehicle control strategy (including the distribution law of the vehicle load spectrum under various operating environments); The gear modification working condition range is specifically 10%-100% of the maximum input torque Tmax of the motor; the modification working condition step size is 10% of Tmax. The specific NVH risk distribution range is determined based on the proportion of gear meshing noise generated by different torques (small torque, medium torque, and large torque) at the motor input end during vehicle acceleration, coasting, and braking under different road conditions. The risk range of motor input torque is determined by threshold judgment, thereby reflecting the strong correlation between NVH performance and the magnitude of torque on gear meshing transmission; for example, when the proportion is greater than 30%, it is determined to be a key NVH risk range.

[0007] Step 2: Construct a simulation model of the transmission assembly structure, including gear macroscopic parameters (such as number of teeth, module, major diameter, etc.), load spectrum conditions, and gear modification boundary parameters.

[0008] In one feasible implementation, the gear modification boundary parameters include tooth profile bulging amount (i.e., in the tooth height direction, modifying the ideal involute into a shape with a raised middle and hollowed-out ends), tooth direction bulging amount (i.e., in the tooth width direction, modifying the ideal straight line into a shape with a raised middle and contracted ends), tooth profile evaluation points (e.g., the starting point of the upper edge modification, the starting point of the lower edge modification, the starting point of the tooth tip beveling, etc.), tooth direction evaluation points (e.g., the two ends and the middle point of the tooth width, etc.), and modification trajectory (i.e., the movement path of the tool relative to the gear, which is linear or elliptical), used to coordinate with the tooth profile modification amount. and tooth profile modification amount The transmission error was calculated.

[0009] In one feasible implementation, the specific method for constructing the assembly structure simulation model includes: Step 21: Based on the transmission simulation design tool (MASTA or ROMAX) and the two-dimensional drawings of the transmission, construct a three-dimensional shaft system simulation model (including motor input shaft, reducer input shaft, reducer intermediate shaft, reducer gears, synchronizer and bearings, etc.). Step 22: Generate a shell finite element model using the finite element design tool; Step 23: Import the shell finite element model into the shaft system simulation model, and establish connection relationships and constraints to obtain the assembly structure simulation model.

[0010] Step 3: Calculate the median point of the shaping amount based on the DOE (Design of Experiments) method.

[0011] In one feasible implementation, step 3 specifically includes: Step 31: Based on the DOE method, fix the tooth profile crowning amount and tooth direction crowning amount, and within the tolerance range, modify the tooth profile of each gear pair (driving / driven gear), including the tooth profile modification amount of the driving gear. and driven gear tooth profile modification amount Random values ​​are selected and randomly combined among gear pairs to obtain several sets of tooth profile modification combinations; then, the tooth profile modification amount of each gear pair, including the tooth profile modification amount of the driving gear, is adjusted. and driven tooth profile modification amount Random values ​​are selected and randomly combined between gear pairs to obtain several sets of tooth profile modification combination methods; the tooth profile modification combination methods and the tooth profile modification combination methods together constitute the DOE database; Step 32: Based on the transmission error level and gear modification working condition range, (using transmission simulation design tools) calculate the transmission error corresponding to each modification combination under different working load conditions; Step 33: Calculate the relative value of tooth profile modification The specific formulas include: = - ; Calculate the relative value of tooth profile modification The specific formulas include: = - ; Step 34: Construct load structures under different operating conditions. , The relationship diagram between the transmission error and the model is called the shaping map; the center point of the diagram is taken as the median point of the shaping amount (initially) (i.e., the relative value of the shaping amount of the driving / driven wheels), that is ( , ).

[0012] Step 4: Based on the median point of the modification amount, randomly increase the modification amount samples of the gear pair within the transmission error level range, and conduct the installation NVH test according to the modification amount samples to obtain the corresponding measured NVH data.

[0013] In one feasible implementation, the specific value points of the shaping amount sample are distributed at the upper boundary, lower boundary, and other areas of the transmission error.

[0014] In one feasible implementation, the measured NVH data includes the relative values ​​of tooth profile modification, tooth direction modification, and vibration noise values ​​for each modification sample. .

[0015] Step 5: Based on measured NVH data, using a generalized extension approximation model of the modification-vibration relationship (between tooth profile modification, tooth direction modification, and vibration / noise values), calculate the generalized extension approximation function curves between the tooth profile modification and tooth direction modification and the vibration / noise values. Using the target value of the vibration / noise value as the upper limit, determine the range of modification amounts, including the tooth profile modification distribution range. and the distribution range of tooth profile modification .

[0016] In one feasible implementation, the specific construction method of the shape-vibration generalized continuation approximation model includes: Tooth profile modification amount Vibration noise value Taking the correlation curve between them as an example, the dataset composed of the discrete points of the tooth profile modification amount and the vibration noise value. Its focus on the defined set of numbers can be extended to adjacent data units. ,and The approximation function on the given surface is continuous and smooth with the function on the surrounding unit domain. By using a local fitting quadratic function approximation method and the best square approximation, and substituting Lagrange multipliers, the first formula is obtained: ; in, Represent the Lagrange function; Represents the (undetermined) coefficients of the objective function; This represents the number of discrete points for vibration noise values ​​in the objective function, and can be 4. Represents the Lagrange multipliers; express A piecewise approximation function; This represents the index of the discrete point of the vibration noise value in the objective function; the objective function is the first term on the right side of the equals sign in the first formula, i.e. This is to ensure that the energy generated when the various shaping parameters and corresponding noise parameters are combined is minimized. The index of the discrete point of vibration noise value in the constraint function can be 2 to reduce NVH testing cost and improve computational efficiency; the constraint function is the remaining terms on the right side of the equal sign in the first formula after removing the objective function, so as to establish an equality constraint between the shaping parameter and the corresponding noise parameter, and assist the objective function in achieving the goal; Let the set of discrete test points within the neighboring data units be: ; And by and , The second formula can be obtained through calculation: .

[0017] In one feasible implementation, the tooth profile modification amount and vibration noise value from the measured NVH data are substituted into the second formula to obtain the approximation function. Then, nodes are selected at equal intervals on the approximation function to calculate the interpolation and obtain several interpolation intervals. Then, in each interpolation interval, an approximation function is constructed, and after finding all interpolation points, a complete correlation curve is fitted. Similarly, the tooth profile modification amount can be obtained. Vibration noise value The correlation curve between them.

[0018] In one feasible implementation, the tooth profile modification amount distribution range Specifically, the range of active gear tooth profile modification amount. Range of tooth profile modification with driven gear The sum; the distribution range of the tooth profile modification amount. Specifically, the range of the active gear tooth profile modification amount. Range of tooth profile modification with driven gear sum.

[0019] Step 6: Decompose the median point and distribution range of the modification amount separately; reselect the median point of the modification amount based on the normal analysis method; randomly select a preset number of modification amount samples, and calculate the set of tooth profile modification amount, tooth direction modification amount and corresponding transmission error set that satisfy the normal distribution through the assembly structure simulation model; statistically analyze the transmission error set to obtain the NVH distribution law diagram of each modification amount sample within the gear modification parameter range.

[0020] In one feasible implementation, step 6 specifically includes: Step 61, based on the median point of the shaping amount ( , The gear pair is split according to the gear pair splitting strategy to obtain the corresponding tooth profile modification amount. and tooth profile modification amount The range of tooth profile modification amount is randomly divided according to the gear pair to obtain the tooth profile modification amount range. and tooth profile modification range ; Preferably, the gear pair splitting strategy includes: prioritizing the minimum modification amount of the driving / driven gear as the benchmark; the absolute value of the modification amount of a single driving / driven gear is ≤10; Step 62: Based on the normality analysis method, reselect... and The median and standard deviation; Step 63, in , , and Within this process, several (e.g., 100) modification amount samples are randomly selected. Based on the normal distribution density function and the assembly structure simulation model, the sets of tooth profile modification amount and tooth direction modification amount that satisfy the normal distribution, as well as the corresponding transmission error set, are calculated (using transmission simulation design tools). Step 64: Collect the transmission error set and count the number of samples according to the preset step size (the step size can be 0.01-0.3, for example, 0.02). Use the sample size m as the vertical axis and the transmission error as the horizontal axis to construct an NVH distribution pattern (including the sample distribution of the range of transmission errors) for each modification quantity sample within the obtained modification parameter range. This allows for early identification of the NVH performance distribution trend after the transmission is mass-produced.

[0021] In one feasible implementation, the method further includes step 65, adjusting the median point of the shaping amount and the distribution range of the shaping amount, and executing steps 61-64 to obtain the corresponding NVH distribution pattern diagram, thereby simulating the NVH performance distribution trend under different conditions, so as to ensure the consistency of NVH performance when changes occur in processing equipment, tools or raw materials in the subsequent production stage.

[0022] Secondly, based on the same inventive concept, this application also provides a transmission gear profile optimization system, including a data receiving module, a data processing module and a result generation module; The data receiving module is used to receive the working load, accuracy grade, transmission error grade, tolerance range, and load spectrum working conditions of the transmission gears. The data processing module includes a simulation model unit, a DOE unit, an NVH test unit, a shape modification distribution unit, and a normal analysis unit. The simulation model unit is used to construct a simulation model of the transmission assembly structure, including gear macroscopic parameters, load spectrum conditions, and gear modification boundary parameters. The DOE unit calculates the median point of the shaping amount based on the DOE method; The NVH test unit, based on the median point of the modification amount, randomly adds modification amount samples of gear pairs within the transmission error level range, conducts on-machine NVH tests, and obtains corresponding measured NVH data. The modified shape distribution unit, based on measured NVH data, calculates the generalized extended approximation function curves between the tooth profile modification amount and the tooth direction modification amount and the vibration noise value using a modified shape-vibration generalized extended approximation model. The target value of the vibration noise value is used as the upper limit to determine the modified shape distribution range, including the tooth profile modification distribution range. and the distribution range of tooth profile modification ; The normal analysis unit decomposes the median point and distribution range of the modification amount separately; based on the normal analysis method, it reselects the median point of the modification amount; it randomly selects a preset number of modification amount samples, and calculates the set of tooth profile modification amount, tooth direction modification amount, and corresponding transmission error set that satisfy the normal distribution through the assembly structure simulation model; it statistically analyzes the transmission error set to obtain the NVH distribution law diagram of each modification amount sample within the gear modification parameter range; The result generation module is used to externalize the NVH distribution pattern diagram.

[0023] Thirdly, based on the same inventive concept, this application also provides a transmission gear profile optimization device, including a processor, a memory, and a bus. The memory stores instructions and data read by the processor, and the processor is used to call the instructions and data in the memory to execute the transmission gear profile optimization method as described above. The bus connects the various functional components for transmitting information.

[0024] In one feasible implementation, the transmission gear profile optimization device further includes NVH testing equipment, including an acceleration sensor, a microphone, and a dynamometer; the acceleration sensor is used to measure the vibration of the transmission; the microphone is used to measure the noise of the transmission; and the dynamometer is used to simulate the operation of the transmission and measure its power.

[0025] By adopting the above technical solution, the present invention has the following beneficial effects: This invention provides a method, system, and device for optimizing gear profile parameters in a transmission. Based on methods such as 3D simulation modeling, DOE profile simulation, interpolation approximation fitting calculation, and normal statistical verification optimization, it effectively designs and simulates optimal profile parameters. This eliminates subjective factors in the design process, improves accuracy, reduces testing and verification costs and gear manufacturing costs, and can greatly improve the robustness of product NVH design, helping to achieve optimal NVH performance for electric drive assemblies, including transmissions. Attached Figure Description

[0026] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0027] Figure 1 A flowchart of a method for optimizing gear profile parameters in a transmission according to an embodiment of the present invention; Figure 2 Example diagram of the assembly structure simulation model provided in the embodiment of the present invention; Figure 3 The shaping map provided in the embodiments of the present invention; Figure 4 A schematic diagram illustrating the correlation between tooth profile and vibration noise provided in an embodiment of the present invention; Figure 5 A schematic diagram illustrating the correlation between tooth direction and vibration noise provided in an embodiment of the present invention; Figure 6 This is an example diagram illustrating the NVH distribution pattern provided in an embodiment of the present invention; Figure 7 A diagram of a transmission gear profile optimization system provided in an embodiment of the present invention. Detailed Implementation

[0028] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0029] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0030] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0031] The present invention will be further explained below with reference to specific embodiments.

[0032] It should also be noted that the specific embodiments or implementation methods described below are a series of optimized settings listed by the present invention to further explain the specific content of the invention, and these settings can be combined or used in conjunction with each other.

[0033] Example 1: like Figure 1 As shown in the figure, the method for optimizing the profile parameters of a transmission gear provided in this embodiment includes the following steps: Step 1: Determine the load spectrum conditions, accuracy class (e.g., grade 5 or 6 accuracy), transmission error (TE) class, and tolerance range of the transmission gears; the load spectrum conditions include load conditions arranged in chronological order, used to determine the gear modification condition range and NVH risk distribution condition range.

[0034] Furthermore, the gear modification operating condition range and the NVH risk distribution operating condition range can be set according to the vehicle control strategy (including the distribution law of the vehicle load spectrum under various operating environments); The gear modification working condition range is specifically 10%-100% of the maximum input torque Tmax of the motor; the modification working condition step size is 10% of Tmax. The specific NVH risk distribution range is determined based on the proportion of gear meshing noise generated by different torques (small torque, medium torque, and large torque) at the motor input end during vehicle acceleration, coasting, and braking under different road conditions. The risk range of motor input torque is determined by threshold judgment, thereby reflecting the strong correlation between NVH performance and the magnitude of torque on gear meshing transmission; for example, when the proportion is greater than 30%, it is determined to be a key NVH risk range.

[0035] Step 2: Construct a simulation model of the transmission assembly structure, including gear macroscopic parameters (such as number of teeth, module, major diameter, etc.), load spectrum conditions, and gear modification boundary parameters.

[0036] Furthermore, the gear modification boundary parameters include tooth profile bulging amount, tooth direction bulging amount, tooth profile evaluation point, tooth direction evaluation point, and modification trajectory (linear or elliptical), used to match the tooth profile modification amount. and tooth profile modification amount The transmission error was calculated.

[0037] Furthermore, the specific method for constructing the assembly structure simulation model includes: Step 21: Based on the transmission simulation design tool (MASTA or ROMAX) and the two-dimensional drawings of the transmission, construct a three-dimensional shaft system simulation model (including motor input shaft, reducer input shaft, reducer intermediate shaft, reducer gears, synchronizer and bearings, etc.). Step 22: Generate a shell finite element model using the finite element design tool; Step 23: Import the shell finite element model into the shaft system simulation model, and establish connection relationships and constraints to obtain the assembly structure simulation model, such as... Figure 2 As shown.

[0038] Step 3: Calculate the median point of the shaping amount based on the DOE (Design of Experiments) method.

[0039] Furthermore, step 3 specifically includes: Step 31: Based on the DOE method, fix the tooth profile camber (which can be 3-5 μm) and tooth axial camber (which can be 5-7 μm). Within the tolerance range, modify the tooth profile of each gear pair (driving / driven gear), including the tooth profile modification of the driving gear. and driven gear tooth profile modification amount Random values ​​are selected and randomly combined among gear pairs to obtain several sets of tooth profile modification combinations; then, the tooth profile modification amount of each gear pair, including the tooth profile modification amount of the driving gear, is adjusted. and driven tooth profile modification amount Random values ​​are selected and randomly combined between gear pairs to obtain several sets of tooth profile modification combination methods; the tooth profile modification combination methods and the tooth profile modification combination methods together constitute the DOE database; Step 32: Based on the transmission error level and gear modification working condition range, (using transmission simulation design tools) calculate the transmission error corresponding to each modification combination under different working load conditions; Step 33: Calculate the relative value of tooth profile modification The specific formulas include: = - ; Calculate the relative value of tooth profile modification The specific formulas include: = - ; Step 34: Construct load structures under different operating conditions. , The relationship between the error and the transmission error, i.e., the shaping map, is shown below. Figure 3 As shown; the center point of the relationship diagram is taken as the median point of the (initial) modification amount (i.e., the relative value of the modification amount of the driving / driven wheel), that is ( , ).

[0040] Step 4: Based on the median point of the modification amount, randomly increase the modification amount samples of the gear pair within the transmission error level range, and conduct the installation NVH test according to the modification amount samples to obtain the corresponding measured NVH data.

[0041] Furthermore, the specific value points of the shaping amount sample are distributed at the upper and lower boundaries of the transmission error (two points can be taken at each boundary) and the remaining area (two points can be taken at each boundary).

[0042] Furthermore, the measured NVH data includes the relative values ​​of tooth profile modification, tooth direction modification, and vibration noise values ​​for each modification sample. .

[0043] Step 5: Based on measured NVH data, using a modified-vibration generalized approximation model (the relationship between tooth profile modification, tooth direction modification, and vibration / noise values), calculate the generalized approximation function curves between the tooth profile modification and tooth direction modification and the vibration / noise values, as shown below. Figure 4-5As shown, the target value of vibration noise is used as the upper limit to determine the range of profile modification amount distribution, including the range of tooth profile modification amount distribution. (like Figure 4 The tolerance zone (shown by the dashed box) and the distribution range of tooth profile modification amount. (like Figure 5 (The tolerance zone is indicated by the dashed box in the middle).

[0044] Furthermore, the specific construction method of the shape-vibration generalized extension approximation model includes: Tooth profile modification amount Vibration noise value Taking the correlation curve between them as an example, the dataset composed of the discrete points of the tooth profile modification amount and the vibration noise value. Its focus on the defined set of numbers can be extended to adjacent data units. ,and The approximation function on the given surface is continuous and smooth with the function on the surrounding unit domain. By using a local fitting quadratic function approximation method and the best square approximation, and substituting Lagrange multipliers, the first formula is obtained: ; in, Represent the Lagrange function; Represents the (undetermined) coefficients of the objective function; This represents the number of discrete points for vibration noise values ​​in the objective function, and can be 4. Represents the Lagrange multipliers; express A piecewise approximation function; This represents the index of the discrete point of vibration noise value in the objective function; This represents the index of the discrete point of vibration noise value in the constraint function. It can be set to 2 to reduce NVH testing costs and improve computational efficiency. Let the set of discrete test points within the neighboring data units be: ; And by and , The second formula can be obtained through calculation: ; Substitute the tooth profile modification amount and vibration noise value from the measured NVH data into the second formula to obtain the approximation function. Then, select nodes at equal intervals on the approximation function to calculate the interpolation and obtain several interpolation intervals. Then, in each interpolation interval, an approximation function is constructed, and after finding all interpolation points, a complete correlation curve is fitted. Similarly, the tooth profile modification amount can be obtained. Vibration noise value The correlation curve between them.

[0045] Furthermore, the distribution range of the tooth profile modification amount Specifically, the range of active gear tooth profile modification amount. Range of tooth profile modification with driven gear The sum; the distribution range of the tooth profile modification amount. Specifically, the range of the active gear tooth profile modification amount. Range of tooth profile modification with driven gear sum.

[0046] Step 6: Decompose the median point and distribution range of the modification amount separately; based on normal analysis, reselect the median point of the modification amount; randomly select a preset number of modification amount samples, and calculate the set of tooth profile modification amount, tooth direction modification amount, and corresponding transmission error set that satisfy the normal distribution through the assembly structure simulation model; statistically analyze the transmission error set to obtain the NVH distribution law diagram of each modification amount sample within the gear modification parameter range, as shown below. Figure 6 As shown, the horizontal axis represents the range of transmission error (Peak-To-Peak TE), and the vertical axis represents the number of modification samples.

[0047] Furthermore, step 6 specifically includes: Step 61, based on the median point of the shaping amount ( , The gear pair is split according to the gear pair splitting strategy to obtain the corresponding tooth profile modification amount. and tooth profile modification amount The range of tooth profile modification amount is randomly divided according to the gear pair to obtain the tooth profile modification amount range. and tooth profile modification range ; Preferably, the gear pair splitting strategy includes: prioritizing the minimum modification amount of the driving / driven gear as the benchmark; the absolute value of the modification amount of a single driving / driven gear is ≤10; For example: when After splitting, we get: , or ; Step 62: Based on the normality analysis method, reselect... and The median and standard deviation; For example: Let the first median point μ1 equal to The second median point μ2 equals The third median point μ3 equals The fourth median point μ4 equals Let the first standard deviation σ1 equal to The second standard deviation σ² equals The third standard deviation σ3 equals The fourth standard deviation σ4 equals ; Step 63, in , , and Within this process, several (e.g., 100) modification amount samples are randomly selected. Based on the normal distribution density function and the assembly structure simulation model, the sets of tooth profile modification amount and tooth direction modification amount that satisfy the normal distribution, as well as the corresponding transmission error set, are calculated (using transmission simulation design tools). For example, for 100 shaping amount samples, it can be represented as: , ... , , ... ; , ... , , ... ; The set of tooth profile modification amount and tooth direction modification amount can be expressed as: , , , And there are ; Indicates the number of samples; Step 64: Collect the transmission error set and count the number of samples according to a preset step size (e.g., 0.01-0.3, with a step size of 0.02). Use the sample size m as the vertical axis and the transmission error as the horizontal axis to construct an NVH distribution pattern diagram (for each sample of the modified parameters within the obtained modification parameter range). This allows for early identification of the NVH performance distribution trend after the transmission is mass-produced.

[0048] Furthermore, it also includes step 65, adjusting the median point of the shaping amount and the distribution range of the shaping amount, and executing steps 61-64 to obtain the corresponding NVH distribution pattern diagram, thereby simulating the NVH performance distribution trend under different conditions, so as to ensure the consistency of NVH performance when changes occur in processing equipment, tools or raw materials in the subsequent production stage.

[0049] Example 2: like Figure 7 As shown, this embodiment provides a transmission gear profile optimization system, including a data receiving module, a data processing module, and a result generation module; The data receiving module is used to receive the working load, accuracy grade, transmission error grade, tolerance range, and load spectrum working conditions of the transmission gears. The data processing module includes a simulation model unit, a DOE unit, an NVH test unit, a shape modification distribution unit, and a normal analysis unit. The simulation model unit is used to construct a simulation model of the transmission assembly structure, including gear macroscopic parameters, load spectrum conditions, and gear modification boundary parameters. The DOE unit calculates the median point of the shaping amount based on the DOE method; The NVH test unit, based on the median point of the modification amount, randomly adds modification amount samples of gear pairs within the transmission error level range, conducts on-machine NVH tests, and obtains corresponding measured NVH data. The modified shape distribution unit, based on measured NVH data, calculates the generalized extended approximation function curves between the tooth profile modification amount and the tooth direction modification amount and the vibration noise value using a modified shape-vibration generalized extended approximation model. The target value of the vibration noise value is used as the upper limit to determine the modified shape distribution range, including the tooth profile modification distribution range. and the distribution range of tooth profile modification ; The normal analysis unit decomposes the median point and distribution range of the modification amount separately; based on the normal analysis method, it reselects the median point of the modification amount; it randomly selects a preset number of modification amount samples, and calculates the set of tooth profile modification amount, tooth direction modification amount, and corresponding transmission error set that satisfy the normal distribution through the assembly structure simulation model; it statistically analyzes the transmission error set to obtain the NVH distribution law diagram of each modification amount sample within the gear modification parameter range; The result generation module is used to externalize the NVH distribution pattern diagram.

[0050] Example 3: This embodiment provides a transmission gear profile optimization device, including a processor, a memory, and a bus. The memory stores instructions and data read by the processor, and the processor is used to call the instructions and data in the memory to execute the transmission gear profile optimization method described above. The bus connects the various functional components for information transmission.

[0051] Furthermore, the gear modification parameter optimization device for the transmission also includes NVH testing equipment, including an acceleration sensor, a microphone, and a dynamometer; the acceleration sensor is used to measure the vibration of the transmission; the microphone is used to measure the noise of the transmission; and the dynamometer is used to simulate the operation of the transmission and measure its power.

[0052] In another embodiment, this solution can also be implemented using an integrated device, which may include corresponding modules that perform one or more steps in the various embodiments described above. A module may be one or more hardware modules specifically configured to perform the corresponding step, or implemented by a processor configured to perform the corresponding step, or stored in a computer-readable medium for implementation by a processor, or implemented through some combination thereof.

[0053] The processor executes the various methods and processes described above. For example, the method implementations in this scheme can be implemented as software programs tangibly contained in a machine-readable medium, such as memory. In some implementations, part or all of the software program can be loaded and / or installed via memory and / or a communication interface. When the software program is loaded into memory and executed by the processor, one or more steps of the methods described above can be performed. Alternatively, in other implementations, the processor can be configured to execute one of the methods described above by any other suitable means (e.g., by means of firmware).

[0054] This device can be implemented using a bus architecture. A bus architecture can include any number of interconnect buses and bridges, depending on the specific application of the hardware and overall design constraints. The bus connects various circuits, including one or more processors, memory, and / or hardware modules. The bus can also connect various other circuits such as peripherals, voltage regulators, power management circuitry, external antennas, etc.

[0055] Buses can be Industry Standard Architecture (ISA) buses, Peripheral Component Interconnect (PCI) buses, or Extended Industry Standard Component (EISA) buses, etc. Buses can be divided into address buses, data buses, control buses, etc.

[0056] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for optimizing gear profile parameters in a transmission, characterized in that, include: Step 1: Determine the load spectrum conditions, accuracy class, transmission error class, and tolerance range of the transmission gears; Step 2: Construct a simulation model of the transmission assembly structure; Step 3: Calculate the median point of the shaping amount based on the DOE method; Step 4: Based on the median point of the modification amount, randomly increase the modification amount samples of the gear pair within the transmission error level range, and conduct the installation NVH test according to the modification amount samples to obtain the corresponding measured NVH data. Step 5: Based on measured NVH data, calculate the generalized extension approximation function curves between tooth profile modification amount and tooth direction modification amount and vibration noise value using the modification-vibration generalized extension approximation model. Use the target value of vibration noise value as the upper limit to determine the modification amount distribution range, including the tooth profile modification amount distribution range. and the distribution range of tooth profile modification ; Step 6: Decompose the median point and distribution range of the modification amount separately; reselect the median point of the modification amount based on the normal analysis method; randomly select a preset number of modification amount samples, and calculate the set of tooth profile modification amount, tooth direction modification amount and corresponding transmission error set that satisfy the normal distribution through the assembly structure simulation model; statistically analyze the transmission error set to obtain the NVH distribution law diagram of each modification amount sample within the gear modification parameter range.

2. The optimization method according to claim 1, characterized in that, The load spectrum includes load conditions arranged in chronological order, used to determine the range of gear modification conditions and the range of NVH risk distribution conditions.

3. The optimization method according to claim 2, characterized in that, The gear modification working condition range is specifically 10%-100% of the maximum input torque Tmax of the motor.

4. The optimization method according to claim 1, characterized in that, The assembly structure simulation model includes gear macroscopic parameters, load spectrum conditions, and gear modification boundary parameters.

5. The optimization method according to claim 4, characterized in that, The gear modification boundary parameters include tooth profile bulging amount, tooth direction bulging amount, tooth profile evaluation point, tooth direction evaluation point, and modification trajectory.

6. The optimization method according to claim 1, characterized in that, Step 3 specifically includes: Step 31: Based on the DOE method, fix the tooth profile camber and tooth direction camber, and within the tolerance range, modify the tooth profile of each gear pair, including the tooth profile modification of the driving gear. and driven gear tooth profile modification amount Random values ​​are selected and randomly combined among gear pairs to obtain several sets of tooth profile modification combinations; then, the tooth profile modification amount of each gear pair, including the tooth profile modification amount of the driving gear, is adjusted. and driven tooth profile modification amount Random values ​​are selected and randomly combined between gear pairs to obtain several sets of tooth profile modification combination methods; the tooth profile modification combination methods and the tooth profile modification combination methods together constitute the DOE database; Step 32: Based on the transmission error level and the gear modification working condition range, calculate the transmission error corresponding to each modification combination under different working load conditions; Step 33: Calculate the relative value of tooth profile modification The specific formulas include: = - ； Calculate the relative value of tooth profile modification The specific formulas include: = - ； Step 34: Construct load structures under different operating conditions. , A graph showing the relationship between the error and the transmission error; the center point of the graph is taken as the median point of the shaping amount.

7. The optimization method according to claim 6, characterized in that, The measured NVH data includes the relative values ​​of tooth profile modification, tooth direction modification, and vibration noise values ​​for each modification sample. .

8. The optimization method according to claim 7, characterized in that, The modified-vibrational generalized extension approximation model includes the following specific formulas: ； in, The coefficients represent the objective function; Represents the Lagrange multipliers; This represents the index of the discrete point of vibration noise value in the objective function.

9. A transmission gear profile optimization system, characterized in that, It includes a data receiving module, a data processing module, and a result generation module; The data receiving module is used to receive the working load, accuracy grade, transmission error grade, tolerance range, and load spectrum working condition of the transmission gears; The data processing module includes a simulation model unit, a DOE unit, an NVH test unit, a shape modification distribution unit, and a normal analysis unit. The simulation model unit is used to construct a simulation model of the transmission assembly structure, including gear macroscopic parameters, load spectrum conditions, and gear modification boundary parameters. The DOE unit calculates the median point of the shaping amount based on the DOE method; The NVH test unit, based on the median point of the modification amount, randomly adds modification amount samples of gear pairs within the transmission error level range, conducts on-machine NVH tests, and obtains corresponding measured NVH data. The modified shape distribution unit, based on measured NVH data, calculates the generalized extended approximation function curves between the tooth profile modification amount and the tooth direction modification amount and the vibration noise value using a modified shape-vibration generalized extended approximation model. The target value of the vibration noise value is used as the upper limit to determine the modified shape distribution range, including the tooth profile modification distribution range. and the distribution range of tooth profile modification ; The normal analysis unit decomposes the median point and distribution range of the modification amount separately; based on the normal analysis method, it reselects the median point of the modification amount; it randomly selects a preset number of modification amount samples, and calculates the set of tooth profile modification amount, tooth direction modification amount, and corresponding transmission error set that satisfy the normal distribution through the assembly structure simulation model; it statistically analyzes the transmission error set to obtain the NVH distribution law diagram of each modification amount sample within the gear modification parameter range; The result generation module is used to externalize the NVH distribution pattern diagram.

10. A device for optimizing gear profile parameters in a transmission, characterized in that, It includes a processor, a memory, and a bus. The memory stores instructions and data read by the processor. The processor is used to call the instructions and data in the memory to execute the optimization method as described in any one of claims 1-8. The bus connects the functional components for transmitting information.

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