Spline centering optimization method and system, electronic equipment and storage medium

Abstract

The invention discloses a spline centering optimization method and system, electronic equipment and a storage medium. The spline centering optimization method comprises the following steps: establishing a three-dimensional model of an electric drive system assembly, and defining and creating a measurement target of the coaxiality of a motor rotor shaft spline and a speed reducer input shaft spline; a tolerance analysis model is created through three-dimensional dimension chain calculation, an assembly dimension chain is defined, and part tolerances are configured; tolerance analysis is carried out, and dimensional tolerance and contribution degree of the dimensional tolerance which have great influence on the coaxiality are determined; the highly contributed tolerances are optimized within a process allowable range to improve spline centering. The technical problems that spline centering calculation is complex, and the manual calculation amount is large are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric drive systems, and in particular to a spline neutrality optimization method, system, electronic equipment and storage medium. Background Art

[0002] With the rapid development of new energy vehicle technology, the market share of pure electric vehicles is increasing. As the core powertrain of new energy vehicles, one of the core charms of the electric drive system is its excellent NVH characteristics. However, with the development of electric drive technology, higher speeds and more demanding working conditions have posed higher challenges to the NVH characteristics of the electric drive system. Clunk noise is a common problem of the electric drive system. Today, as customers pay more and more attention to ride comfort, the proportion of market problems caused by Clunk noise has increased year by year. There are many influencing factors, and it is very difficult to analyze and solve. Therefore, it has become one of the most important issues for OEMs. In the process of analyzing and solving the Clunk problem, it was found that in addition to spline wear, the alignment of the motor rotor shaft spline and the reducer input shaft spline is also an important influencing factor. On the one hand, poor alignment will cause eccentric wear to aggravate spline wear, and on the other hand, it will increase the load on the bearing and cause bearing damage. In addition, due to the long spline alignment dimension chain and complex calculation, the manual calculation is huge. Summary of the invention

[0003] The embodiments of the present invention provide a spline alignment optimization method, system, electronic device and storage medium to at least solve the technical problems of complex spline alignment calculation and large amount of manual calculation.

[0004] According to one aspect of an embodiment of the present invention, a spline alignment optimization method is provided, comprising: establishing a three-dimensional model of an electric drive system assembly, the three-dimensional model comprising a motor housing, a motor rotor shaft, a reducer input shaft, front and rear reducer housings, bearings, and cylindrical pin components; defining and creating a measurement target, the measurement target being the coaxiality of the motor rotor shaft spline and the reducer input shaft spline; using a three-dimensional dimension chain calculation method to create a tolerance analysis model of the electric drive system assembly; defining an assembly dimension chain according to the actual assembly sequence of the electric drive system; configuring the tolerances of each component in the assembly dimension chain; performing tolerance analysis, setting the analysis target to a 3σ range, and obtaining analysis results; viewing the analysis results, determining the dimensional tolerances and their contributions that have a greater impact on the coaxiality, and optimizing the tolerances with high contributions within the range allowed by the process to improve the spline alignment.

[0005] Optionally, the 3D model is constructed using pre-defined 3D design software that features precise tolerance analysis and dimensional chain calculation capabilities.

[0006] Optionally, the step of acquiring part information includes reading geometric parameters and tolerance information of the motor housing, the motor rotor shaft, and the reducer input shaft components through design documents.

[0007] Optionally, the geometric tolerances introduced into the tolerance analysis model include, but are not limited to, the position of the motor rotor shaft spline, and the roundness and cylindricity of the speed reducer input shaft spline.

[0008] Optionally, in the step of tolerance optimization, the maximum and minimum coaxiality deviations within the tolerance range are determined by analyzing statistical results, and the tolerances with high contribution are optimized.

[0009] Optionally, the step of optimizing the tolerance with high contribution also includes considering the influence of the assembly tolerance of the motor housing and the front and rear housings of the reducer on the spline concentricity.

[0010] Optionally, the tolerance adjustment within the range allowed by the process is carried out by communicating with the manufacturing department to obtain the actual process capability parameters and determine the adjustable tolerance range.

[0011] Optionally, the tolerance configuration of the bearing hole diameter and the locating pin hole position is optimized based on the tolerance allocation principle and the bearing assembly requirements.

[0012] Optionally, in the step of optimizing the tolerance with high contribution within the range allowed by the process, the influence of the optimized tolerance on the spline alignment is verified by experimental data.

[0013] Optionally, the tolerance analysis implementation strategy includes evaluating the probability distribution of spline alignment using Monte Carlo simulation methods to determine the critical tolerances that need to be optimized.

[0014] Optionally, in the step of optimizing the tolerance with high contribution within the range allowed by the process, the manufacturing feasibility under different tolerance settings is analyzed by a process simulation tool.

[0015] Optionally, the step of optimizing tolerances with high contribution also includes evaluating the comprehensive impact of the optimized tolerances on overall system performance to ensure the comprehensiveness and effectiveness of the optimization solution.

[0016] According to another aspect of an embodiment of the present invention, a spline alignment optimization system is also provided, including: a first construction module, used to establish a three-dimensional model of an electric drive system assembly, the three-dimensional model including a motor housing, a motor rotor shaft, a reducer input shaft, front and rear reducer housings, bearings, and cylindrical pin components; a first definition module, used to define and create a measurement target, the measurement target is the coaxiality of the motor rotor shaft spline and the reducer input shaft spline; a second construction module, used to create a tolerance analysis model of the electric drive system assembly using a three-dimensional dimension chain calculation method; a second definition module, used to define an assembly dimension chain according to the actual assembly sequence of the electric drive system; a configuration module, used to configure the tolerances of each component in the assembly dimension chain; an analysis module, used to perform tolerance analysis, set the analysis target to a 3σ range, and obtain analysis results; a result module, used to view the analysis results, determine the dimensional tolerances and their contributions that have a greater impact on the coaxiality, and optimize the tolerances with high contributions within the range allowed by the process to improve the spline alignment.

[0017] According to another aspect of an embodiment of the present invention, there is also provided an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein the spline alignment optimization method in any one of the above items is executed when the program is running.

[0018] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein when the executable program is running, the device where the storage medium is located is controlled to execute any of the above-mentioned spline alignment optimization methods.

[0019] According to another aspect of an embodiment of the present invention, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the spline alignment optimization method described above is implemented.

[0020] In an embodiment of the present invention, a three-dimensional model of an electric drive system assembly is established, and the three-dimensional model includes a motor housing, a motor rotor shaft, a reducer input shaft, front and rear reducer housings, bearings, and cylindrical pin components; a measurement target is defined and created, and the measurement target is the coaxiality of the motor rotor shaft spline and the reducer input shaft spline; a tolerance analysis model of the electric drive system assembly is created using a three-dimensional dimension chain calculation method; an assembly dimension chain is defined according to the actual assembly sequence of the electric drive system; the tolerances of each component in the assembly dimension chain are configured; a tolerance analysis is performed, and the analysis target is set to a 3σ range to obtain an analysis result; the analysis result is checked to determine the dimensional tolerances and their contributions that have a greater impact on the coaxiality, and within the range allowed by the process, the tolerances with high contributions are optimized to improve the spline alignment. The method provided by the present invention can significantly improve the assembly accuracy of the electric drive system assembly, reduce the mechanical vibration and noise caused by poor spline alignment, and extend the service life of the system. At the same time, through the tolerance analysis function of the three-dimensional design software, it can more intuitively identify the key factors affecting the spline alignment, and guide the process department to optimize the tolerance, thereby reducing the manufacturing cost and improving the production efficiency while ensuring the product quality. It provides strong technical support for the design and manufacture of electric drive systems in the field of electric vehicles, and further solves the technical problems of complex spline alignment calculation and large amount of manual calculation. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0022] Figure 1 is a flow chart of a method for optimizing spline alignment according to one embodiment of the present invention;

[0023] Figure 2 4 is a structural block diagram of a spline alignment optimization system according to one embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0026] According to an embodiment of the present invention, an embodiment of a spline alignment optimization method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0027] Figure 1 is a flow chart of a method for optimizing the spline alignment according to one embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:

[0028] Step S101, building a three-dimensional model of the electric drive system assembly, the three-dimensional model includes components such as a motor housing, a motor rotor shaft, a reducer input shaft, a reducer front and rear housings, bearings, and cylindrical pins.

[0029] Step S102, defining and creating a measurement target, where the measurement target is the coaxiality between the motor rotor shaft spline and the reducer input shaft spline.

[0030] Step S103: Create a tolerance analysis model of the electric drive system assembly using a three-dimensional dimension chain calculation method.

[0031] Step S104: defining an assembly dimension chain according to the actual assembly sequence of the electric drive system.

[0032] Step S105, configuring the tolerance of each component in the assembly dimension chain.

[0033] Step S106, perform tolerance analysis, set the analysis target to a 3σ range, and obtain analysis results.

[0034] Step S107, checking the analysis results, determining the dimensional tolerances that have a greater impact on the coaxiality and their contributions, and optimizing the tolerances with a high contribution within the range allowed by the process to improve the spline alignment.

[0035] In an embodiment of the present invention, a three-dimensional model of an electric drive system assembly is established, and the three-dimensional model includes a motor housing, a motor rotor shaft, a reducer input shaft, front and rear reducer housings, bearings, and cylindrical pin components; a measurement target is defined and created, and the measurement target is the coaxiality of the motor rotor shaft spline and the reducer input shaft spline; a tolerance analysis model of the electric drive system assembly is created using a three-dimensional dimension chain calculation method; an assembly dimension chain is defined according to the actual assembly sequence of the electric drive system; the tolerances of each component in the assembly dimension chain are configured; a tolerance analysis is performed, and the analysis target is set to a 3σ range to obtain an analysis result; the analysis result is checked to determine the dimensional tolerances and their contributions that have a greater impact on the coaxiality, and within the range allowed by the process, the tolerances with high contributions are optimized to improve the spline alignment. The method provided by the present invention can significantly improve the assembly accuracy of the electric drive system assembly, reduce the mechanical vibration and noise caused by poor spline alignment, and extend the service life of the system. At the same time, through the tolerance analysis function of the three-dimensional design software, it can more intuitively identify the key factors affecting the spline alignment, and guide the process department to optimize the tolerance, thereby reducing the manufacturing cost and improving the production efficiency while ensuring the product quality. It provides strong technical support for the design and manufacture of electric drive systems in the field of electric vehicles, and further solves the technical problems of complex spline alignment calculation and large amount of manual calculation.

[0036] Optionally, the 3D model is built using specific 3D design software that has precise tolerance analysis and dimension chain calculation functions. With this function, the electric drive system assembly can be virtually assembled to detect possible assembly problems in advance, so that adjustments can be made in the design stage, avoiding rework caused by assembly problems in later production, saving time and costs. This technology also has broad application prospects in the fields of aerospace and precision machinery manufacturing.

[0037] Optionally, the step of obtaining part information includes reading geometric parameters and tolerance information of the motor housing, motor rotor shaft, and reducer input shaft components through design documents. Accurate acquisition of this information is the basis for tolerance analysis and can ensure the reliability of the analysis results. In the production of automobile manufacturing and industrial automation equipment, this precise tolerance control is crucial to improving product consistency and reducing failure rates.

[0038] Optionally, the geometric tolerances introduced into the tolerance analysis model include but are not limited to the position of the motor rotor shaft spline, the roundness and cylindricity of the reducer input shaft spline. The introduction of these geometric tolerances makes the analysis model closer to reality, can more accurately predict the problem of spline alignment, help solve potential manufacturing problems in the design stage, improve the assembly accuracy of the electric drive system, reduce mechanical vibration and noise, and extend the service life of the system.

[0039] Optionally, in the step of tolerance optimization, the maximum and minimum coaxiality deviations within the tolerance range are determined by analyzing statistical results, thereby optimizing the tolerances with high contribution. This optimization method based on statistical results can adjust the tolerances more scientifically and ensure the stability and consistency of the electric drive system in mass production. In the manufacture of precision instruments and high-end electronic equipment, the application of this method can significantly improve the quality and market competitiveness of products.

[0040] Optionally, the step of optimizing the tolerances with high contribution also includes considering the influence of the assembly tolerances of the motor housing and the front and rear housings of the reducer on the spline alignment. By comprehensively considering various tolerances in the assembly process, the comprehensive influence of the spline alignment can be more accurately evaluated, which helps to achieve the optimal design of the electric drive system. In the design of robot joints and precision transmission devices, this comprehensive tolerance consideration can significantly improve the accuracy and reliability of the system.

[0041] Optionally, the tolerance adjustment within the range allowed by the process can be determined by communicating with the manufacturing department to obtain the actual process capability parameters to determine the adjustable tolerance range. This tolerance adjustment based on the actual process capability can ensure the feasibility of the design and avoid production problems caused by the mismatch between design and manufacturing capabilities. In the manufacturing of automotive parts and aerospace equipment, the application of this method can effectively improve production efficiency and reduce production costs.

[0042] Optionally, the tolerance configuration of the bearing hole diameter and the locating pin hole position is optimized based on the tolerance allocation principle and the bearing assembly requirements. By optimizing these key tolerances, the assembly accuracy of the electric drive system can be significantly improved, the performance degradation caused by tolerance accumulation can be reduced, and the service life of the system can be extended. In the manufacture of high-speed rotating equipment and precision transmission devices, the application of this tolerance optimization technology can significantly improve the performance and reliability of the product.

[0043] Optionally, in the step of optimizing the tolerance with high contribution within the range allowed by the process, the influence of the optimized tolerance on the spline alignment is verified by experimental data. This verification method based on experimental data can ensure the effectiveness of the optimization scheme and avoid design errors caused by the inconsistency between theoretical analysis and actual production. In the production of new energy vehicles and industrial automation equipment, the application of this method can significantly improve the quality and market competitiveness of products.

[0044] Optionally, the implementation strategy of tolerance analysis includes using Monte Carlo simulation method to evaluate the probability distribution of spline alignment to determine the key tolerances that need to be optimized. This tolerance analysis strategy based on probability distribution can more scientifically identify the key factors affecting spline alignment, guide designers to optimize tolerances, and improve the assembly accuracy and reliability of the electric drive system. In the manufacture of precision machinery and high-end electronic equipment, the application of this method can significantly improve product quality and market competitiveness.

[0045] Optionally, in the step of optimizing the tolerance with high contribution within the range allowed by the process, the manufacturing feasibility under different tolerance settings is analyzed by a process simulation tool to ensure that the optimized tolerance meets the production requirements. This tolerance optimization strategy based on process simulation can ensure the feasibility and production efficiency of the optimization scheme and avoid production problems caused by unreasonable tolerance settings. In the fields of automobile manufacturing and precision machining, the application of this method can significantly improve production efficiency and reduce production costs.

[0046] Optionally, the step of optimizing the tolerance with high contribution also includes evaluating the comprehensive impact of the optimized tolerance on the overall system performance to ensure the comprehensiveness and effectiveness of the optimization scheme. By comprehensively evaluating the impact of the optimized tolerance on the overall system performance, the optimal design of the electric drive system can be ensured and the stability and reliability of the system can be improved. In the design and manufacturing of new energy vehicles and industrial automation equipment, the application of this method can significantly improve the performance and market competitiveness of products.

[0047] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, a computer, a server, or a network device) to execute the methods described in each embodiment of the present invention.

[0048] In the embodiment of the present invention, a spline alignment optimization system is also provided, which is used to implement the above-mentioned embodiment and preferred implementation mode, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0049] Figure 2is a structural block diagram of a spline alignment optimization system 200 according to one embodiment of the present invention. Figure 2 As shown, the device includes: a first construction module 201, which is used to establish a three-dimensional model of the electric drive system assembly, and the three-dimensional model includes a motor housing, a motor rotor shaft, a reducer input shaft, a front and rear reducer housing, a bearing, and a cylindrical pin component; a first definition module 202, which is used to define and create a measurement target, and the measurement target is the coaxiality of the motor rotor shaft spline and the reducer input shaft spline; a second construction module 203, which is used to create a tolerance analysis model of the electric drive system assembly by using a three-dimensional dimension chain calculation method; a second definition module 204, which is used to define an assembly dimension chain according to the actual assembly sequence of the electric drive system; a configuration module 205, which is used to configure the tolerances of each component in the assembly dimension chain; an analysis module 206, which is used to perform tolerance analysis, set the analysis target to a 3σ range, and obtain analysis results; a result module 207, which is used to view the analysis results, determine the dimensional tolerances and their contributions that have a greater impact on the coaxiality, and optimize the tolerances with high contributions within the range allowed by the process to improve the spline centering.

[0050] It should be noted that the above modules are also used to cooperate with the implementation of the following embodiments:

[0051] Optionally, the 3D model is built using specific 3D design software that has precise tolerance analysis and dimension chain calculation functions. With this function, the electric drive system assembly can be virtually assembled to detect possible assembly problems in advance, so that adjustments can be made in the design stage, avoiding rework caused by assembly problems in later production, saving time and costs. This technology also has broad application prospects in the fields of aerospace and precision machinery manufacturing.

[0052] Optionally, the step of obtaining part information includes reading geometric parameters and tolerance information of the motor housing, motor rotor shaft, and reducer input shaft components through design documents. Accurate acquisition of this information is the basis for tolerance analysis and can ensure the reliability of the analysis results. In the production of automobile manufacturing and industrial automation equipment, this precise tolerance control is crucial to improving product consistency and reducing failure rates.

[0053] Optionally, the geometric tolerances introduced into the tolerance analysis model include but are not limited to the position of the motor rotor shaft spline, the roundness and cylindricity of the reducer input shaft spline. The introduction of these geometric tolerances makes the analysis model closer to reality, can more accurately predict the problem of spline alignment, help solve potential manufacturing problems in the design stage, improve the assembly accuracy of the electric drive system, reduce mechanical vibration and noise, and extend the service life of the system.

[0054] Optionally, in the step of tolerance optimization, the maximum and minimum coaxiality deviations within the tolerance range are determined by analyzing statistical results, thereby optimizing the tolerances with high contribution. This optimization method based on statistical results can adjust the tolerances more scientifically and ensure the stability and consistency of the electric drive system in mass production. In the manufacture of precision instruments and high-end electronic equipment, the application of this method can significantly improve the quality and market competitiveness of products.

[0055] Optionally, the step of optimizing the tolerances with high contribution also includes considering the influence of the assembly tolerances of the motor housing and the front and rear housings of the reducer on the spline alignment. By comprehensively considering various tolerances in the assembly process, the comprehensive influence of the spline alignment can be more accurately evaluated, which helps to achieve the optimal design of the electric drive system. In the design of robot joints and precision transmission devices, this comprehensive tolerance consideration can significantly improve the accuracy and reliability of the system.

[0056] Optionally, the tolerance adjustment within the range allowed by the process can be determined by communicating with the manufacturing department to obtain the actual process capability parameters to determine the adjustable tolerance range. This tolerance adjustment based on the actual process capability can ensure the feasibility of the design and avoid production problems caused by the mismatch between design and manufacturing capabilities. In the manufacturing of automotive parts and aerospace equipment, the application of this method can effectively improve production efficiency and reduce production costs.

[0057] Optionally, the tolerance configuration of the bearing hole diameter and the locating pin hole position is optimized based on the tolerance allocation principle and the bearing assembly requirements. By optimizing these key tolerances, the assembly accuracy of the electric drive system can be significantly improved, the performance degradation caused by tolerance accumulation can be reduced, and the service life of the system can be extended. In the manufacture of high-speed rotating equipment and precision transmission devices, the application of this tolerance optimization technology can significantly improve the performance and reliability of the product.

[0058] Optionally, in the step of optimizing the tolerance with high contribution within the range allowed by the process, the influence of the optimized tolerance on the spline alignment is verified by experimental data. This verification method based on experimental data can ensure the effectiveness of the optimization scheme and avoid design errors caused by the inconsistency between theoretical analysis and actual production. In the production of new energy vehicles and industrial automation equipment, the application of this method can significantly improve the quality and market competitiveness of products.

[0059] Optionally, the implementation strategy of tolerance analysis includes using Monte Carlo simulation method to evaluate the probability distribution of spline alignment to determine the key tolerances that need to be optimized. This tolerance analysis strategy based on probability distribution can more scientifically identify the key factors affecting spline alignment, guide designers to optimize tolerances, and improve the assembly accuracy and reliability of the electric drive system. In the manufacture of precision machinery and high-end electronic equipment, the application of this method can significantly improve product quality and market competitiveness.

[0060] Optionally, in the step of optimizing the tolerance with high contribution within the range allowed by the process, the manufacturing feasibility under different tolerance settings is analyzed by a process simulation tool to ensure that the optimized tolerance meets the production requirements. This tolerance optimization strategy based on process simulation can ensure the feasibility and production efficiency of the optimization scheme and avoid production problems caused by unreasonable tolerance settings. In the fields of automobile manufacturing and precision machining, the application of this method can significantly improve production efficiency and reduce production costs.

[0061] Optionally, the step of optimizing the tolerance with high contribution also includes evaluating the comprehensive impact of the optimized tolerance on the overall system performance to ensure the comprehensiveness and effectiveness of the optimization scheme. By comprehensively evaluating the impact of the optimized tolerance on the overall system performance, the optimal design of the electric drive system can be ensured and the stability and reliability of the system can be improved. In the design and manufacturing of new energy vehicles and industrial automation equipment, the application of this method can significantly improve the performance and market competitiveness of products.

[0062] An embodiment of the present invention further provides an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein when the program is running, the spline alignment optimization method described in any of the above embodiments is executed.

[0063] Optionally, in this embodiment, the processor in the electronic device may be configured to run an executable program to perform the following steps:

[0064] Step S101, building a three-dimensional model of the electric drive system assembly, the three-dimensional model includes a motor housing, a motor rotor shaft, a reducer input shaft, a reducer front and rear housings, a bearing, and a cylindrical pin component.

[0065] Step S102, defining and creating a measurement target, where the measurement target is the coaxiality between the motor rotor shaft spline and the reducer input shaft spline.

[0066] Step S103: Create a tolerance analysis model of the electric drive system assembly using a three-dimensional dimension chain calculation method.

[0067] Step S104: defining an assembly dimension chain according to the actual assembly sequence of the electric drive system.

[0068] Step S105, configuring the tolerance of each component in the assembly dimension chain.

[0069] Step S106, perform tolerance analysis, set the analysis target to a 3σ range, and obtain analysis results.

[0070] Step S107, checking the analysis results, determining the dimensional tolerances that have a greater impact on the coaxiality and their contributions, and optimizing the tolerances with a high contribution within the range allowed by the process to improve the spline alignment.

[0071] Optionally, the 3D model is constructed using specific 3D design software that features precise tolerance analysis and dimensional chain calculation capabilities.

[0072] Optionally, the step of acquiring part information includes reading geometric parameters and tolerance information of the motor housing, the motor rotor shaft, and the reducer input shaft components through design documents.

[0073] Optionally, the geometric tolerances introduced into the tolerance analysis model include, but are not limited to, the position of the motor rotor shaft spline, and the roundness and cylindricity of the speed reducer input shaft spline.

[0074] Optionally, in the step of tolerance optimization, the maximum and minimum coaxiality deviations within the tolerance range are determined by analyzing statistical results, thereby optimizing the tolerance with a high contribution.

[0075] Optionally, the step of optimizing the tolerance with high contribution also includes considering the influence of the assembly tolerance of the motor housing and the front and rear housings of the reducer on the spline concentricity.

[0076] Optionally, the tolerance adjustment within the range allowed by the process is carried out by obtaining the actual process capability parameters through communication with the manufacturing department to determine the adjustable tolerance range.

[0077] Optionally, the tolerance configuration of the bearing hole diameter and the locating pin hole position is optimized based on the tolerance allocation principle and the bearing assembly requirements.

[0078] Optionally, in the step of optimizing the tolerance with high contribution within the range allowed by the process, the influence of the optimized tolerance on the spline alignment is verified by experimental data.

[0079] Optionally, the tolerance analysis implementation strategy includes evaluating the probability distribution of spline alignment using Monte Carlo simulation methods to determine the critical tolerances that need to be optimized.

[0080] Optionally, in the step of optimizing the tolerance with high contribution within the range allowed by the process, the manufacturing feasibility under different tolerance settings is analyzed by a process simulation tool to ensure that the optimized tolerance meets the production requirements.

[0081] Optionally, the step of optimizing tolerances with high contribution also includes evaluating the comprehensive impact of the optimized tolerances on overall system performance to ensure the comprehensiveness and effectiveness of the optimization solution.

[0082] An embodiment of the present invention further provides a computer-readable storage medium, the computer-readable storage medium including a stored executable program, wherein when the executable program is running, the device where the storage medium is located is controlled to execute the spline alignment optimization method described in any of the above embodiments.

[0083] Optionally, in this embodiment, the above executable program may be configured to store an executable program for performing the following steps:

[0084] Step S101, building a three-dimensional model of the electric drive system assembly, the three-dimensional model includes a motor housing, a motor rotor shaft, a reducer input shaft, a reducer front and rear housings, a bearing, and a cylindrical pin component.

[0085] Step S102, defining and creating a measurement target, where the measurement target is the coaxiality between the motor rotor shaft spline and the reducer input shaft spline.

[0086] Step S103: Create a tolerance analysis model of the electric drive system assembly using a three-dimensional dimension chain calculation method.

[0087] Step S104: defining an assembly dimension chain according to the actual assembly sequence of the electric drive system.

[0088] Step S105, configuring the tolerance of each component in the assembly dimension chain.

[0089] Step S106, perform tolerance analysis, set the analysis target to a 3σ range, and obtain analysis results.

[0090] Step S107, checking the analysis results, determining the dimensional tolerances that have a greater impact on the coaxiality and their contributions, and optimizing the tolerances with a high contribution within the range allowed by the process to improve the spline alignment.

[0091] Optionally, the 3D model is constructed using specific 3D design software that features precise tolerance analysis and dimensional chain calculation capabilities.

[0092] Optionally, the step of acquiring part information includes reading geometric parameters and tolerance information of the motor housing, the motor rotor shaft, and the reducer input shaft components through design documents.

[0093] Optionally, the geometric tolerances introduced into the tolerance analysis model include, but are not limited to, the position of the motor rotor shaft spline, and the roundness and cylindricity of the speed reducer input shaft spline.

[0094] Optionally, in the step of tolerance optimization, the maximum and minimum coaxiality deviations within the tolerance range are determined by analyzing statistical results, thereby optimizing the tolerance with a high contribution.

[0095] Optionally, the step of optimizing the tolerance with high contribution also includes considering the influence of the assembly tolerance of the motor housing and the front and rear housings of the reducer on the spline concentricity.

[0096] Optionally, the tolerance adjustment within the range allowed by the process is carried out by obtaining the actual process capability parameters through communication with the manufacturing department to determine the adjustable tolerance range.

[0097] Optionally, the tolerance configuration of the bearing hole diameter and the locating pin hole position is optimized based on the tolerance allocation principle and the bearing assembly requirements.

[0098] Optionally, in the step of optimizing the tolerance with high contribution within the range allowed by the process, the influence of the optimized tolerance on the spline alignment is verified by experimental data.

[0099] Optionally, the tolerance analysis implementation strategy includes evaluating the probability distribution of spline alignment using Monte Carlo simulation methods to determine the critical tolerances that need to be optimized.

[0100] Optionally, in the step of optimizing the tolerance with high contribution within the range allowed by the process, the manufacturing feasibility under different tolerance settings is analyzed by a process simulation tool to ensure that the optimized tolerance meets the production requirements.

[0101] Optionally, the step of optimizing tolerances with high contribution also includes evaluating the comprehensive impact of the optimized tolerances on overall system performance to ensure the comprehensiveness and effectiveness of the optimization solution.

[0102] An embodiment of the present invention further provides a computer program product, including a computer program, which implements the spline alignment optimization method described in any of the above embodiments when executed by a processor.

[0103] Optionally, in this embodiment, the above computer program implements the following steps when executed by a processor:

[0104] Step S101, building a three-dimensional model of the electric drive system assembly, the three-dimensional model includes a motor housing, a motor rotor shaft, a reducer input shaft, a reducer front and rear housings, a bearing, and a cylindrical pin component.

[0105] Step S102, defining and creating a measurement target, where the measurement target is the coaxiality between the motor rotor shaft spline and the reducer input shaft spline.

[0106] Step S103: Create a tolerance analysis model of the electric drive system assembly using a three-dimensional dimension chain calculation method.

[0107] Step S104: defining an assembly dimension chain according to the actual assembly sequence of the electric drive system.

[0108] Step S105, configuring the tolerance of each component in the assembly dimension chain.

[0109] Step S106, perform tolerance analysis, set the analysis target to a 3σ range, and obtain analysis results.

[0110] Step S107, checking the analysis results, determining the dimensional tolerances that have a greater impact on the coaxiality and their contributions, and optimizing the tolerances with a high contribution within the range allowed by the process to improve the spline alignment.

[0111] Optionally, the 3D model is constructed using specific 3D design software that features precise tolerance analysis and dimensional chain calculation capabilities.

[0112] Optionally, the step of acquiring part information includes reading geometric parameters and tolerance information of the motor housing, the motor rotor shaft, and the reducer input shaft components through design documents.

[0113] Optionally, the geometric tolerances introduced into the tolerance analysis model include, but are not limited to, the position of the motor rotor shaft spline, and the roundness and cylindricity of the speed reducer input shaft spline.

[0114] Optionally, in the step of tolerance optimization, the maximum and minimum coaxiality deviations within the tolerance range are determined by analyzing statistical results, thereby optimizing the tolerance with a high contribution.

[0115] Optionally, the step of optimizing the tolerance with high contribution also includes considering the influence of the assembly tolerance of the motor housing and the front and rear housings of the reducer on the spline concentricity.

[0116] Optionally, the tolerance adjustment within the range allowed by the process is carried out by obtaining the actual process capability parameters through communication with the manufacturing department to determine the adjustable tolerance range.

[0117] Optionally, the tolerance configuration of the bearing hole diameter and the locating pin hole position is optimized based on the tolerance allocation principle and the bearing assembly requirements.

[0118] Optionally, in the step of optimizing the tolerance with high contribution within the range allowed by the process, the influence of the optimized tolerance on the spline alignment is verified by experimental data.

[0119] Optionally, the tolerance analysis implementation strategy includes evaluating the probability distribution of spline alignment using Monte Carlo simulation methods to determine the critical tolerances that need to be optimized.

[0120] Optionally, in the step of optimizing the tolerance with high contribution within the range allowed by the process, the manufacturing feasibility under different tolerance settings is analyzed by a process simulation tool to ensure that the optimized tolerance meets the production requirements.

[0121] Optionally, the step of optimizing tolerances with high contribution also includes evaluating the comprehensive impact of the optimized tolerances on overall system performance to ensure the comprehensiveness and effectiveness of the optimization solution.

[0122] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0123] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0124] In some embodiments provided in the present application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0125] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0126] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0127] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0128] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for optimizing the alignment of a spline, characterized in that: include: Establish a three-dimensional model of the electric drive system assembly, which includes the motor housing, motor rotor shaft, reducer input shaft, reducer front and rear housings, bearings, and cylindrical pin components; Define and create a measurement target, which is the coaxiality between the motor rotor shaft spline and the reducer input shaft spline; Use the three-dimensional dimension chain calculation method to create a tolerance analysis model for the electric drive system assembly; Define the assembly dimension chain according to the actual assembly sequence of the electric drive system; Configure the tolerances of the components in the assembly dimension chain; Conduct tolerance analysis, set the analysis target to 3σ range, and obtain the analysis results; Check the analysis results to determine the dimensional tolerances that have a greater impact on coaxiality and their contributions. Within the range allowed by the process, optimize the tolerances with high contributions to improve the spline alignment.

2. The method for optimizing the spline alignment according to claim 1, characterized in that: The three-dimensional model is constructed using preset three-dimensional design software, which has accurate tolerance analysis and dimension chain calculation functions.

3. The method for optimizing the spline alignment according to claim 1, characterized in that: The step of obtaining part information includes reading geometric parameters and tolerance information of the motor housing, motor rotor shaft, and reducer input shaft components through design documents.

4. The method for optimizing the spline alignment according to claim 1, characterized in that: The geometric tolerances introduced into the tolerance analysis model include, but are not limited to, the position of the motor rotor shaft spline, the roundness and cylindricity of the speed reducer input shaft spline.

5. The method for optimizing the spline alignment according to claim 1, characterized in that: In the tolerance optimization step, the maximum and minimum coaxiality deviations within the tolerance range are determined by analyzing statistical results, and the tolerance with high contribution is optimized.

6. The method for optimizing the spline alignment according to claim 1, characterized in that: The step of optimizing the tolerance with high contribution also includes considering the influence of the assembly tolerance of the motor housing and the front and rear housings of the reducer on the spline centering.

7. The method for optimizing the spline alignment according to claim 1, characterized in that: The tolerance adjustment within the range allowed by the process is determined by communicating with the manufacturing department to obtain the actual process capability parameters and determine the adjustable tolerance range.

8. The method for optimizing the spline alignment according to claim 1, characterized in that: The tolerance configuration of the bearing hole diameter and the locating pin hole position is optimized based on the tolerance allocation principle and the bearing assembly requirements.

9. The method for optimizing the spline alignment according to claim 1, characterized in that: In the step of optimizing the tolerance with high contribution within the range allowed by the process, the influence of the optimized tolerance on the spline alignment is verified by experimental data.

10. The method for optimizing the spline alignment according to claim 1, characterized in that: The implementation strategy of the tolerance analysis includes: using Monte Carlo simulation method to evaluate the probability distribution of spline alignment and determine the key tolerances that need to be optimized.

11. The method for optimizing the spline alignment according to claim 1, characterized in that: In the step of optimizing the tolerance with high contribution within the range allowed by the process, the manufacturing feasibility under different tolerance settings is analyzed by a process simulation tool.

12. A spline alignment optimization system, characterized in that: include: The first building module is used to establish a three-dimensional model of the electric drive system assembly, which includes a motor housing, a motor rotor shaft, a reducer input shaft, a reducer front and rear housings, a bearing, and a cylindrical pin component; The first definition module is used to define and create a measurement target, which is the coaxiality between the motor rotor shaft spline and the reducer input shaft spline; The second building block is used to create a tolerance analysis model of the electric drive system assembly using a three-dimensional dimension chain calculation method; The second definition module is used to define the assembly dimension chain according to the actual assembly sequence of the electric drive system; Configuration module, used to configure the tolerances of the components in the assembly dimension chain; The analysis module is used to perform tolerance analysis, set the analysis target to the 3σ range, and obtain the analysis results; The result module is used to view the analysis results, determine the dimensional tolerances that have a greater impact on coaxiality and their contributions, and optimize the tolerances with high contributions within the range allowed by the process to improve the spline alignment.

13. An electronic device, characterized in that: include: A memory storing an executable program; A processor, configured to run the program, wherein the program executes the method according to any one of claims 1 to 11 when running.

14. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored executable program, wherein when the executable program is executed, the device where the storage medium is located is controlled to execute the method according to any one of claims 1 to 11.

15. A computer program product, characterized in that The invention comprises a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 11.

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