Parameter determination method and device of elastic flywheel, storage medium and electronic equipment

Abstract

This application provides a method, apparatus, storage medium, and electronic device for determining the parameters of an elastic flywheel. The method includes: constructing an optimization model and solving the optimization model based on optimization variables, constraints, and an optimization objective to obtain calculation results. The optimization variables are the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms. The constraints are the total diaphragm thickness and the minimum strength range of the diaphragms. The optimization objective is to minimize the bending stiffness of the intermediate diaphragms. The target solution of the calculation results includes the target number of intermediate diaphragms, the target thickness of each intermediate diaphragm, and the target positional relationship between any two intermediate diaphragms. This method, while ensuring constant torsional stiffness, flexibly controls bending stiffness and strength by combining the number of diaphragms, diaphragm thickness, and diaphragm arrangement order, thus achieving both high reliability and shaft alignment compensation capability.

Description

Technical Field

[0001] This application relates to the field of flywheel technology, and more specifically, to a method for determining the parameters of an elastic flywheel, a device for determining the parameters of an elastic flywheel, a computer-readable storage medium, and an electronic device. Background Technology

[0002] Traditional shaft connections typically employ either flexible couplings or rigid connections. Flexible couplings are generally connected after the flywheel, using materials such as rubber. They have low stiffness and strong compensation capability for shaft alignment, but low reliability. Rigid connections typically involve adding a rigid transition connection structure after the flywheel to connect to the shaft system. This structure has high stiffness and high reliability, but weak compensation capability for shaft alignment. Summary of the Invention

[0003] The main objective of this application is to provide a method for determining the parameters of an elastic flywheel, a device for determining the parameters of an elastic flywheel, a computer-readable storage medium, and an electronic device, so as to at least solve the problem that the existing shaft connection methods cannot simultaneously meet the requirements of high reliability and shaft neutrality compensation.

[0004] To achieve the above objectives, according to one aspect of this application, a method for determining the parameters of an elastic flywheel is provided. The elastic flywheel includes multiple intermediate diaphragms, and the parameters of the elastic flywheel include the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms. The method includes: obtaining the total thickness of the diaphragms and the minimum strength range of the diaphragms, wherein the total thickness of the diaphragms is the total thickness of all the intermediate diaphragms in the elastic flywheel; constructing an optimization model, and solving the optimization model according to optimization variables, constraints, and an optimization objective to obtain a calculation result; wherein the optimization variables are the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms; the constraints are the total thickness of the diaphragms and the minimum strength range of the diaphragms; and the optimization objective is to minimize the bending stiffness of the intermediate diaphragms; if the calculation result has a target solution, the target solution includes the target number of intermediate diaphragms, the target thickness of each intermediate diaphragm, and the target positional relationship between any two intermediate diaphragms.

[0005] Optionally, the total thickness of the diaphragm may be multiple. The optimization model is solved based on the optimization variables, constraints, and optimization objective to obtain the calculation results. This includes: determining the minimum strength range of the diaphragm and the minimum total thickness of the diaphragm as the constraints; solving the optimization model based on the optimization variables, constraints, and optimization objective to obtain the calculation results; and if the calculation results do not yield the objective solution, the optimization model is solved using the total thickness of the diaphragm as the constraints in ascending order until the calculation results yield the objective solution.

[0006] Optionally, after solving the optimization model according to the optimization variables, constraints and optimization objectives to obtain the calculation results, the method further includes: if the calculation results show that there are multiple solutions, determining the solution corresponding to the membrane strength of the smallest intermediate membrane as the target solution.

[0007] Optionally, obtaining the total diaphragm thickness includes: constructing a shaft system dynamic model, wherein the shaft system dynamic model is a dynamic model between the elastic flywheel and the shaft system, the elastic flywheel includes an inner ring, an outer ring, and the intermediate diaphragm, the intermediate diaphragm being an elastic diaphragm, the shaft system includes a crankshaft and a motor shaft, the outer ring and the crankshaft are connected by a first connecting structure, and the inner ring and the motor shaft are connected by a second connecting structure; simulating the shaft system dynamic model according to the actual operating conditions of the engine in which the elastic flywheel is installed, obtaining the shaft system torsional vibration of the elastic flywheel, and simulating the shaft system dynamic model according to the shaft system torsional vibration, obtaining the torsional stiffness of the elastic flywheel, wherein there are multiple torsional stiffnesses; determining the corresponding total diaphragm thickness according to the torsional stiffness, wherein there are multiple total diaphragm thicknesses, and the torsional stiffness corresponds one-to-one with the total diaphragm thickness.

[0008] Optionally, constructing an optimization model includes: a first determination step, determining multiple sample points using the principle of experimental design, and determining the total thickness of the membrane and the minimum strength range of the membrane corresponding to each sample point, wherein each sample point corresponds to the number of membranes in a set of intermediate membranes, the thickness of a single intermediate membrane, and the positional relationship between any two intermediate membranes; a fitting step, fitting an initial model based on all the sample points and the corresponding total membrane thickness and minimum strength range of the membrane, and determining the fitting accuracy of the initial model; a second determination step, determining the initial model as the optimization model if the fitting accuracy of the initial model is greater than or equal to a preset accuracy, wherein the optimization model is a high-latitude equation model; and a repeat execution step, repeating the first determination step and the fitting step if the fitting accuracy of the initial model is less than the preset accuracy, until the fitting accuracy of the fitted initial model is greater than or equal to the preset accuracy.

[0009] Optionally, after solving the optimization model according to the optimization variables, constraints, and optimization objectives to obtain the calculation results, the method further includes: calculating the calculated strength and calculated bending stiffness of the intermediate diaphragm according to the target number of intermediate diaphragms, the target thickness of each intermediate diaphragm, and the target positional relationship between any two intermediate diaphragms, wherein the target positional relationship is either adjacent or non-adjacent; if the calculated strength is within the minimum strength range of the diaphragm and the calculated bending stiffness is within a preset bending stiffness range, determining the parameters corresponding to the target solution as the manufacturing parameters of the elastic flywheel; if the calculated strength is not within the minimum strength range of the diaphragm and / or the calculated bending stiffness is not within the preset bending stiffness range, resolving the optimization model to obtain updated calculation results until the calculated strength of the intermediate diaphragm corresponding to the target solution is within the minimum strength range of the diaphragm and the calculated bending stiffness corresponding to the target solution is within the preset bending stiffness range.

[0010] Optionally, at least two of the intermediate membranes may have different target thicknesses.

[0011] According to another aspect of this application, a parameter determination device for an elastic flywheel is provided. The elastic flywheel includes multiple intermediate diaphragms. The parameters of the elastic flywheel include the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms. The device includes: an acquisition unit for acquiring the total thickness of the diaphragms and the minimum strength range of the diaphragms, wherein the total thickness of the diaphragms is the total thickness of all the intermediate diaphragms in the elastic flywheel; and an optimization unit for constructing an optimization model and solving the optimization model according to optimization variables, constraints, and an optimization objective to obtain a calculation result. The optimization variables are the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms; the constraints are the total thickness of the diaphragms and the minimum strength range of the diaphragms; and the optimization objective is to minimize the bending stiffness of the intermediate diaphragms. If the calculation result indicates the existence of a target solution, the target solution includes the target number of intermediate diaphragms, the target thickness of each intermediate diaphragm, and the target positional relationship between any two intermediate diaphragms.

[0012] According to another aspect of this application, a computer-readable storage medium is provided, the computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device where the computer-readable storage medium is located to perform any of the aforementioned method for determining the parameters of the elastic flywheel.

[0013] According to another aspect of this application, an electronic device is provided, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including a parameter determination method for performing any of the aforementioned elastic flywheels.

[0014] Applying the technical solution of this application, the above-mentioned method for determining the parameters of the elastic flywheel includes multiple intermediate diaphragms. The parameters of the elastic flywheel include the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms. The method first obtains the total thickness of the diaphragms and the minimum strength range of the diaphragms. The total thickness of the diaphragms is the total thickness of all intermediate diaphragms in the elastic flywheel. Then, an optimization model is constructed, and the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms are used as optimization variables. The total thickness of the diaphragms and the minimum strength range of the diaphragms are used as constraints, and minimizing the bending stiffness of the intermediate diaphragms is used as the optimization objective. The optimization model is solved to obtain the calculation results. If the calculation results show a target solution, the target solution includes the target number of intermediate diaphragms, the target thickness of each intermediate diaphragm, and the target positional relationship between any two intermediate diaphragms. The intermediate diaphragm calculated by this method is a multi-diaphragm connection structure with different thicknesses. While ensuring that the torsional stiffness remains unchanged, the bending stiffness and strength can be flexibly controlled by flexibly combining the number of diaphragms, the thickness of the diaphragms, and the arrangement order of the diaphragms. This allows it to take into account both high reliability and shaft alignment compensation capability, solving the problem that the existing shaft connection methods cannot simultaneously take into account the requirements of high reliability and shaft alignment compensation. Attached Figure Description

[0015] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments and descriptions of this application are used to explain this application and do not constitute an undue limitation of this application. In the drawings:

[0016] Figure 1 A hardware structure block diagram of a mobile terminal for performing a parameter determination method for an elastic flywheel according to an embodiment of this application is shown.

[0017] Figure 2 A flowchart illustrating a method for determining the parameters of an elastic flywheel according to an embodiment of this application is shown.

[0018] Figure 3 A schematic diagram of the structure of an elastic flywheel according to an embodiment of this application is shown;

[0019] Figure 4 A schematic diagram of a different diaphragm design provided according to an embodiment of this application is shown;

[0020] Figure 5(a) shows a schematic diagram of a design scheme with multiple diaphragms of equal thickness in the prior art;

[0021] Figure 5(b) shows a schematic diagram of a design scheme with multiple diaphragms of unequal thickness provided according to an embodiment of this application;

[0022] Figure 6 A flowchart illustrating another method for determining the parameters of an elastic flywheel according to an embodiment of this application is shown.

[0023] Figure 7 A structural block diagram of a parameter determination device for an elastic flywheel provided according to an embodiment of this application is shown.

[0024] The above figures include the following reference numerals:

[0025] 10. Acquisition unit; 20. Optimization unit; 102. Processor; 104. Memory; 106. Transmission device; 108. Input / output device. Detailed Implementation

[0026] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0027] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0028] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0029] For ease of description, the following explains some of the nouns or terms used in the embodiments of this application:

[0030] Couplings: Couplings are mechanical devices used to connect two shafts or a shaft and a rotating component to transmit motion and power.

[0031] Flywheel: The flywheel is a disc-shaped component with a large moment of inertia, and its function is like an energy storage device. During the power stroke, the energy transmitted from the engine to the crankshaft is partially absorbed by the flywheel, in addition to being output to the outside, thus maintaining a small fluctuation in the crankshaft speed.

[0032] Experimental design: The construction of an optimized surrogate model requires actual calculated sample points. Experimental design is the science of how to scientifically determine sample points to correctly reflect the interactions and relationships between various quantities.

[0033] Optimized surrogate model: This is an approximate model used for optimization. It requires actual sample points for fitting and can quickly and efficiently obtain the optimal solution.

[0034] As described in the background section, traditional shaft connections typically employ either flexible couplings or rigid connections. Flexible couplings, generally made of materials like rubber, have low stiffness and strong compensation capability for shaft alignment, but low reliability. Rigid couplings, using a flywheel and a corresponding transition disc, offer high structural stiffness and reliability, but weak compensation capability for shaft alignment. In other words, current shaft connection methods cannot simultaneously meet the requirements of high reliability and shaft alignment compensation.

[0035] To address the problem that existing shaft connection methods cannot simultaneously meet the requirements of high reliability and shaft neutrality compensation, embodiments of this application provide a method for determining the parameters of an elastic flywheel, a device for determining the parameters of an elastic flywheel, a computer-readable storage medium, and an electronic device.

[0036] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0037] The methods and embodiments provided in this application can be executed on a mobile terminal, computer terminal, or similar computing device. Taking running on a mobile terminal as an example, Figure 1 This is a hardware structure block diagram of a mobile terminal for a method of determining the parameters of an elastic flywheel according to an embodiment of the present invention. Figure 1 As shown, a mobile terminal may include one or more ( Figure 1 Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data are also shown. The mobile terminal may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the mobile terminal described above. For example, the mobile terminal may also include components that are more... Figure 1 The more or fewer components shown, or having the same Figure 1The different configurations shown.

[0038] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the parameter determination method of the elastic flywheel in this embodiment of the invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the above-described networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof. The transmission device 106 is used to receive or send data via a network. Specific examples of the above-described networks may include wireless networks provided by the mobile terminal's communication provider. In one example, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0039] This embodiment provides a method for determining the parameters of an elastic flywheel that operates on a mobile terminal, computer terminal, or similar computing device. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0040] Figure 2 This is a flowchart of a method for determining the parameters of an elastic flywheel according to an embodiment of this application. The parameters of the elastic flywheel include the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms, such as... Figure 2 As shown, the method includes the following steps:

[0041] Step S201: Obtain the total thickness of the diaphragm and the minimum strength range of the diaphragm. The total thickness of the diaphragm is the total thickness of all the intermediate diaphragms in the elastic flywheel.

[0042] Specifically, the total diaphragm thickness is determined based on the expected torsional stiffness requirements, which dictates the amount of torque the flywheel can absorb and transmit. The minimum strength range of the diaphragm is set based on an understanding of the material's fatigue characteristics, ensuring the diaphragm can withstand repeated stresses under predetermined operating conditions without failure or breakage. Determining the total diaphragm thickness and strength range provides a basic framework for the design of the flexible flywheel, ensuring that the design meets torque transmission requirements while guaranteeing reliability under complex operating conditions. The setting of the total diaphragm thickness and strength range is based on shaft dynamics analysis, considering the characteristics of shaft torsional vibration and the calculation of torsional and bending stresses under various loads, thus deriving a diaphragm configuration that effectively reduces stress fluctuations in the transmission system while ensuring sufficient diaphragm strength.

[0043] The basic structure of the flexible flywheel is as follows: Figure 3 As shown, it mainly consists of an outer flywheel ring, an inner flywheel ring, and an elastic diaphragm (i.e., an intermediate diaphragm). The outer and inner flywheel rings are connected to the crankshaft, motor shaft, and other shaft systems via corresponding connection structures. The design focus is on the intermediate diaphragm structure. The intermediate diaphragm structure is composed of multiple diaphragms of different thicknesses bonded together. The diaphragms are connected to the outer and inner rings via rigid connections such as bolts. There is no rigid connection between the diaphragms themselves, allowing them to be separated. Due to this structural characteristic, with a fixed total diaphragm thickness, different combinations of the number and thickness of diaphragms will not significantly affect the torsional stiffness, but will affect the stiffness and strength in the bending direction. This characteristic determines that the structure can flexibly adjust the diaphragm combination scheme to achieve different bending stiffness and strength conditions without affecting the shaft system's torsional vibration and other indicators (the weaker the bending stiffness, the stronger the compensation ability for shaft system misalignment, but the lower the reliability of the diaphragm itself). The design of the diaphragm structure needs to comprehensively consider the above factors.

[0044] Step S202: Construct an optimization model and solve the optimization model according to the optimization variables, constraints, and optimization objective to obtain the calculation results; wherein, the optimization variables are the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms; the constraints are the total thickness of the diaphragms and the minimum strength range of the diaphragms; and the optimization objective is to minimize the bending stiffness of the intermediate diaphragms; if the calculation result has a target solution, the target solution includes the target number of intermediate diaphragms, the target thickness of each intermediate diaphragm, and the target positional relationship between any two intermediate diaphragms.

[0045] Specifically, the optimization variables include the number of diaphragms, the thickness of individual diaphragms, and the arrangement of diaphragms; the constraints refer to the total thickness of the diaphragms and the minimum strength range of the diaphragms; the optimization objective is to minimize the bending stiffness of the diaphragms. During model construction, a response surface methodology or other advanced optimization algorithms are used to calculate the impact of diaphragm configuration on bending stiffness using a limited number of sample points, thereby finding the optimal diaphragm design. By constructing the optimization model, the diaphragm combination that minimizes bending stiffness can be identified while meeting torsional stiffness and strength requirements, thus improving the shaft alignment compensation capability and enhancing the overall system stability. The optimization method based on the surrogate model can quickly approximate the optimal solution through precise calculations using a small number of sample points, avoiding the lengthy process of traditional trial-and-error methods and significantly improving design efficiency.

[0046] After optimization calculations, an optimal combination of diaphragm quantity, thickness, and arrangement was obtained. This combination minimized bending stiffness while meeting torsional stiffness and strength requirements. The determined optimal diaphragm parameters effectively balanced torsional and bending stiffness, ensuring that the elastic flywheel provides sufficient centering compensation while withstanding shaft torsional vibration, preventing premature shaft wear due to minor deviations. Analysis and verification of the optimization results confirmed that torsional stiffness and diaphragm strength still met design standards while minimizing bending stiffness. This parameter combination achieved the optimal balance in the elastic flywheel's performance, ensuring its stability and reliability under complex operating conditions.

[0047] By implementing the above method, a novel elastic flywheel can be designed according to specific shaft dynamics requirements and constraints. This flywheel, through the design of diaphragms with unequal wall thickness, achieves minimum bending stiffness while ensuring torsional stiffness and diaphragm strength. Thus, without sacrificing flywheel reliability, it significantly enhances the shaft alignment compensation capability, reduces stress concentration at shaft connections, extends the system's service life, and effectively solves the problem of difficulty in balancing reliability and alignment compensation capability under traditional shaft connection methods.

[0048] The method for determining the parameters of the aforementioned elastic flywheel in this application involves an elastic flywheel comprising multiple intermediate diaphragms. The parameters of the elastic flywheel include the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms. This method first obtains the total thickness of the diaphragms and the minimum strength range of the diaphragms. The total thickness of the diaphragms is the sum of the thicknesses of all intermediate diaphragms in the elastic flywheel. Then, an optimization model is constructed, using the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms as optimization variables, the total thickness of the diaphragms and the minimum strength range of the diaphragms as constraints, and minimizing the bending stiffness of the intermediate diaphragms as the optimization objective. The optimization model is then solved to obtain the calculation results. If the calculation results show a target solution, the target solution includes the target number of intermediate diaphragms, the target thickness of each intermediate diaphragm, and the target positional relationship between any two intermediate diaphragms. The intermediate diaphragm calculated by this method is a multi-diaphragm connection structure with different thicknesses. While ensuring that the torsional stiffness remains unchanged, the bending stiffness and strength can be flexibly controlled by flexibly combining the number of diaphragms, the thickness of the diaphragms, and the arrangement order of the diaphragms. This allows it to take into account both high reliability and shaft alignment compensation capability, solving the problem that the existing shaft connection methods cannot simultaneously take into account the requirements of high reliability and shaft alignment compensation.

[0049] In some embodiments, the total thickness of the diaphragm is multiple. Based on the optimization variables, constraints, and optimization objectives, the optimization model is solved to obtain the calculation results, including the following steps:

[0050] Step S2021: The minimum strength range of the diaphragm and the minimum total thickness of the diaphragm are determined as the above-mentioned constraint conditions;

[0051] Step S2022: Based on the above optimization variables, the above constraints, and the above optimization objective, solve the above optimization model to obtain the above calculation results;

[0052] Step S2023: If the above calculation result is that there is no target solution, the above optimization model is solved by using the total thickness of the membrane as the above constraint condition in ascending order until the above calculation result is that there is a target solution.

[0053] Specifically, the selection of the total diaphragm thickness encompasses multiple possible values, constituting a crucial constraint in the optimization process. The design method first sets the minimum strength range of the diaphragm and the minimum total diaphragm thickness as the boundary conditions of the model. Then, using optimization variables—the number of diaphragms, the thickness of each individual diaphragm, and the arrangement of the diaphragms—combined with the optimization objective—minimizing the diaphragm's bending stiffness, the optimization surrogate model is solved. If no solution satisfies the objective in the initial solution, the approach is not limited to this; instead, the constraints are gradually relaxed. Specifically, the total diaphragm thickness is sequentially increased as a new constraint, and the optimization model is run again until the target solution that meets all design requirements is found. This technical approach ensures that while pursuing minimum weight, the flexible flywheel can effectively balance the requirements of high reliability and shaft alignment compensation capability, ultimately achieving the optimal configuration of structural performance through intelligent iteration.

[0054] When the initial optimization model fails to achieve the design objectives, the design process automatically switches to the next feasible total diaphragm thickness scheme. This process demonstrates the crucial role of the dynamic adjustment strategy: finding the optimal diaphragm combination through continuous trial and error, ensuring that at least one optimal solution meeting design requirements is obtained under any constraints. In this way, even if the initial design parameters fail to meet the optimization objectives, the optimization process can be restarted by adjusting the total diaphragm thickness, ultimately achieving the predetermined engineering goals. During this process, the number, thickness, and arrangement order of the diaphragms become dynamically adjusted elements. Their combined changes directly affect the bending stiffness and strength performance of the flexible flywheel, thereby influencing the alignment compensation capability and overall reliability of the shaft system. Therefore, this embodiment not only provides a flexible flywheel design method but also establishes a highly adaptable optimization framework capable of flexibly addressing various design challenges, achieving an ideal balance between shaft system connection performance and cost-effectiveness.

[0055] In some embodiments, after solving the optimization model according to the optimization variables, constraints and optimization objectives to obtain the calculation results, the method further includes: if the calculation results show that there are multiple solutions, determining the solution corresponding to the membrane strength of the smallest intermediate membrane as the target solution.

[0056] Specifically, when the optimization model's calculations show multiple solutions, the technical solution specifically stipulates that the solution corresponding to the diaphragm strength with the smallest intermediate diaphragm should be taken as the target solution. This strategy is based on a deep understanding of the diaphragm's structural characteristics. Considering the crucial role of the diaphragm in the elastic flywheel, the intermediate diaphragm bears a greater load and stress. Therefore, selecting the minimum intermediate diaphragm strength as the preferred condition aims to balance the design of the entire diaphragm assembly, ensuring torsional stiffness while minimizing stress concentration in the weakest link, thereby improving the reliability and service life of the entire elastic flywheel. Through this optimized solution, a lightweight design of the diaphragm connection structure can be achieved while meeting the shaft alignment compensation capability and strength requirements, achieving the optimal balance between performance and weight.

[0057] Specifically, the optimization process comprehensively considers multiple variables such as the number of diaphragms, the thickness of individual diaphragms, and the arrangement of diaphragms. It ensures that, while meeting basic torsional stiffness requirements, these parameters are adjusted to find the optimal configuration that minimizes the strength of the intermediate diaphragms while maintaining sufficient bending stiffness to support alignment compensation. This design approach not only innovatively overcomes the limitations of traditional flexible couplings and rigid connection schemes but also provides a more flexible and efficient method for designing flexible flywheels. In a practical application of a certain model, the unequal wall thickness optimization scheme, compared to the traditional equal wall thickness scheme, successfully reduced bending stiffness and optimized alignment compensation performance while maintaining the same total wall thickness and number of diaphragm layers. Although the maximum stress of the diaphragms increased slightly, this was controlled through precise calculations and optimal solution strategies, achieving an effective combination of high reliability and alignment compensation performance.

[0058] In some embodiments, obtaining the total thickness of the membrane includes the following steps:

[0059] Step S2011: Construct a shaft system dynamic model. The shaft system dynamic model is the dynamic model between the elastic flywheel and the shaft system. The elastic flywheel includes an inner ring, an outer ring, and an intermediate diaphragm. The intermediate diaphragm is an elastic diaphragm. The shaft system includes a crankshaft and a motor shaft. The outer ring and the crankshaft are connected by a first connecting structure, and the inner ring and the motor shaft are connected by a second connecting structure.

[0060] Step S2012: Based on the actual operating conditions of the engine with the above-mentioned elastic flywheel, the above-mentioned shaft system dynamics model is simulated to obtain the shaft system torsional vibration of the above-mentioned elastic flywheel, and the shaft system dynamics model is simulated based on the above-mentioned shaft system torsional vibration to obtain the torsional stiffness of the above-mentioned elastic flywheel. There are multiple torsional stiffnesses.

[0061] Step S2013: Determine the corresponding total thickness of the diaphragm based on the torsional stiffness. There are multiple total thicknesses of the diaphragm, and the torsional stiffness corresponds one-to-one with the total thickness of the diaphragm.

[0062] The process begins with establishing a dynamic model of the shaft system. Through dynamic calculations combined with shaft torsional vibration measurements, the required torsional stiffness of the elastic flywheel is determined, ensuring that the torsional vibration does not exceed the design target. Generally, the torsional stiffness that satisfies the torsional vibration requirement is not unique; multiple values ​​may be found, forming a feasible stiffness set. The torsional stiffness represents the total thickness of the diaphragm. Generally, a higher torsional stiffness means a larger total diaphragm thickness and greater weight. Therefore, determining the total diaphragm thickness prioritizes starting with the minimum feasible stiffness scheme. Only when a satisfactory scheme cannot be designed is a larger stiffness scheme considered.

[0063] Specifically, a shaft system dynamics model was constructed, describing the dynamic relationship between the elastic flywheel and the shaft system. The elastic flywheel consists of an inner ring, an outer ring, and a central elastic diaphragm, while the shaft system encompasses the crankshaft and the motor shaft. Through simulation, shaft system torsional vibration data of the elastic flywheel under different engine operating conditions were obtained, thereby determining the set of torsional stiffnesses for the elastic flywheel that meets the torsional vibration requirements. Since there is a one-to-one correspondence between torsional stiffness and the total diaphragm thickness, the corresponding set of total diaphragm thicknesses can be derived from the set of torsional stiffnesses. Having determined the total diaphragm thickness, the next task is to find the optimal combination of the number, thickness, and arrangement of diaphragms that satisfies both alignment compensation and high strength requirements while maintaining a fixed total thickness. This process is achieved through a response surface surrogate model optimization method, that is, optimizing the bending stiffness and strength of the diaphragms while satisfying the torsional stiffness requirements, ultimately deriving an elastic flywheel diaphragm design scheme that ensures both high reliability and good shaft system alignment compensation capability.

[0064] First, through dynamic modeling and simulation analysis, the relationship between torsional stiffness and the total thickness of the diaphragm was quantified, providing a theoretical basis for subsequent design. Second, using an optimized surrogate model, the optimal balance between diaphragm bending stiffness and strength was explored while maintaining torsional stiffness, achieving dual optimization of shaft alignment compensation and diaphragm reliability. The flexibility of the design method is reflected in the free adjustment of the number, thickness, and arrangement of diaphragms, enabling the finding of optimal solutions under various constraints. The design method and technical solution proposed in this embodiment can optimize the overall performance of the elastic flywheel by controlling the properties of the diaphragm while satisfying the dynamic characteristics of the shaft system, thereby improving the reliability and efficiency of the shaft connection.

[0065] In some embodiments, constructing the optimization model includes the following steps:

[0066] The first determination step involves using the principle of experimental design to determine multiple sample points, and determining the total thickness of the membrane and the minimum strength range of the membrane corresponding to each sample point. Each sample point corresponds to the number of membranes in a set of intermediate membranes, the thickness of a single intermediate membrane, and the positional relationship between any two intermediate membranes.

[0067] The fitting step involves fitting an initial model based on all the above sample points, the corresponding total thickness of the membrane, and the minimum strength range of the membrane, and then determining the fitting accuracy of the initial model.

[0068] The second determination step is to determine the initial model as the optimized model if the fitting accuracy of the initial model is greater than or equal to the preset accuracy, wherein the optimized model is a high-latitude equation model.

[0069] Repeat the steps. If the fitting accuracy of the initial model is less than the preset accuracy, repeat the first determining step and the fitting step until the fitting accuracy of the initial model is greater than or equal to the preset accuracy.

[0070] After initially determining the diaphragm torsional stiffness, which is also the total diaphragm thickness, the next task is to identify the optimal solution from a large number of combinations of different diaphragm numbers, individual diaphragm thicknesses, and diaphragm arrangements. This step requires considering both the diaphragm's bending stiffness and reliability. Given the large number of possible combinations, it's difficult to calculate and compare each one individually. Therefore, this step employs an optimization approach based on a surrogate model to determine the final design solution. First, through experimental design, we determine how to combine the design variables—number of diaphragms, thickness of a single diaphragm, and arrangement of diaphragms—to fit a surrogate model for optimization with a small number of sample points. We then determine the sample points and calculate the corresponding results. Next, we fit the determined sample points to the response surface surrogate model for optimization and evaluate the fitting accuracy. If the accuracy requirement is met, we proceed to the next step of optimization; otherwise, we return to the previous experimental design and readjust the sample points. After obtaining the ideal optimized surrogate model, we perform the next optimization calculation, using the number of diaphragms, thickness of a single diaphragm, and arrangement of diaphragms as optimization variables, the determined total diaphragm thickness and diaphragm strength conditions as constraint boundaries, and minimizing the diaphragm bending stiffness as the optimization objective to explore the optimal design solution.

[0071] Specifically, the process of constructing the optimization model involves designing experiments to determine multiple sample points. Each sample point represents the number of diaphragms, the thickness of a single diaphragm, and the positional relationship between the diaphragms in a set of intermediate diaphragms, corresponding to the total diaphragm thickness and the minimum strength range of the diaphragms. Based on these sample points, preliminary model fitting is performed to obtain an initial model, and its fitting accuracy is evaluated. If the fitting accuracy of the initial model reaches or exceeds the preset accuracy, the model is confirmed as the optimized model and used for subsequent high-dimensional equation analysis. Conversely, if the accuracy of the initial model is insufficient, the sample points need to be readjusted, and fitting is performed again until the preset accuracy is met. The construction of the optimized model ensures that while controlling the bending stiffness to meet the shaft alignment compensation requirements, the torsional stiffness and strength conditions of the diaphragms are maintained, thus achieving a balance between high reliability and alignment compensation capability while minimizing weight. Through high-precision model optimization, the design process can be quantified and precisely controlled, effectively improving the design efficiency and performance of the diaphragm elastic flywheel. The flexible combination of the number, thickness, and arrangement of diaphragms provides the possibility of achieving optimal performance under different working conditions. In subsequent implementation, the application of this optimization model will significantly improve the design level of the diaphragm elastic flywheel, achieve effective compensation for misalignment of the shaft connection, and maintain the high strength and high reliability of the diaphragm.

[0072] The Design of Experiments (DOE) method aims to effectively utilize limited computational resources or experimental data to build a surrogate model (e.g., a response surface methodology) that reflects the relationship between design variables and output performance. The specific steps are as follows:

[0073] Choosing design variables: In this case, design variables include the number of diaphragms, the thickness of each diaphragm, and the arrangement of the diaphragms. These variables will directly affect the performance of the final product, such as torsional stiffness, bending stiffness, and overall strength.

[0074] Experimental design: Using statistical experimental design methods, such as full factorial design, partial factorial design, and central composite design, to determine which sample points should be selected for calculation or experimentation. The goal of this process is to find the minimum sample set that covers the entire design space, so that a sufficiently accurate surrogate model can be built using these samples.

[0075] Determine sample points and perform calculations or experiments: Based on the selected experimental design method, determine the specific combination of the number of diaphragms, the thickness of each diaphragm, and the arrangement of the diaphragms. Then, use these parameters to run numerical analysis in simulation software or to prepare samples in the laboratory for physical testing, and collect performance data corresponding to each sample point, such as torsional stiffness, bending stiffness, and maximum stress of the diaphragm.

[0076] Building the surrogate model: Using the collected data, a surrogate model is fitted using mathematical modeling methods (such as multinomial regression, neural networks, etc.) that can predict output performance after inputting design variables. The goal of this model is to reflect the true design performance as accurately as possible, while also having sufficient generalization ability to provide reliable predictions at unseen design points.

[0077] Model Validation: After building the surrogate model, it needs to be validated to ensure sufficient accuracy. Typically, a portion of the data is reserved for validation, not for training the model. If the model's predictions match the experimental results on this validation data well, then the surrogate model can be considered effective.

[0078] By following these steps, the impact of design variables on product performance can be explored with relatively low computational or experimental costs, and surrogate models can be used for optimization design to find the optimal combination of design parameters that meet specific performance requirements.

[0079] In some embodiments, after solving the optimization model based on the optimization variables, constraints, and optimization objective to obtain the calculation results, the method further includes the following steps:

[0080] Step S301: Based on the number of target membranes of the intermediate membrane, the target thickness of each intermediate membrane, and the target positional relationship between any two intermediate membranes, calculate the calculated strength and calculated bending stiffness of the intermediate membrane. The target positional relationship can be adjacent or non-adjacent.

[0081] Step S302: When the calculated strength is within the minimum strength range of the diaphragm and the calculated bending stiffness is within the preset bending stiffness range, the parameters corresponding to the target solution are determined as the manufacturing parameters of the elastic flywheel.

[0082] Step S303: If the calculated strength is not within the minimum strength range of the diaphragm, and / or the calculated bending stiffness is not within the preset bending stiffness range, the optimization model is re-solved to obtain updated calculation results until the calculated strength of the intermediate diaphragm corresponding to the target solution is within the minimum strength range of the diaphragm, and the calculated bending stiffness corresponding to the target solution is within the preset bending stiffness range.

[0083] The optimized design scheme is based on an approximate surrogate model, and its solution may differ from the actual result. Therefore, the optimized design scheme needs to be verified. The design scheme is verified for bending stiffness and strength. If the scheme does not meet the stiffness and strength requirements, the optimization process must be repeated to verify other optimized solutions. If an optimal solution cannot be obtained with the current total thickness, a new total thickness scheme is selected based on the previously determined feasible stiffness set, and iterative iterations are performed until an acceptable solution is obtained. If the optimized design scheme meets all the requirements, it is adopted as the final design scheme. The diaphragm scheme determined by this method is a diaphragm design scheme that simultaneously meets the centering compensation requirements and strength requirements under the condition of minimum weight. The following is a comparison of various indicators between the optimized diaphragm design scheme and the traditional scheme for a certain model. Under the condition that the total wall thickness and the number of diaphragm layers are the same, although the maximum stress of the inverted diaphragm increases and the strength decreases slightly due to the reduction in the thickness of the outermost diaphragm, the optimization effect of bending stiffness is more obvious. That is, under the premise of meeting the conditions of strength, torsional stiffness and other conditions, the unequal wall thickness design scheme can flexibly control the changes of various indicators and meet the requirements of centering compensation.

[0084] Specifically, the flexible flywheel design employs an innovative structure with diaphragms of unequal wall thickness. By optimizing the number, thickness, and arrangement of different diaphragms, effective control of bending stiffness is achieved, while simultaneously ensuring high reliability and alignment compensation capabilities for the shaft system connection. During the design process, the torsional stiffness requirements are first determined based on the shaft system dynamics model, thus forming a feasible stiffness set. Subsequently, within the defined framework of the total diaphragm thickness, optimization calculations are performed using a response surface surrogate model. The number of diaphragms, the thickness of individual diaphragms, and the arrangement of diaphragms are used as optimization variables, with the goal of minimizing diaphragm bending stiffness, while simultaneously satisfying the total diaphragm thickness and strength conditions as boundary constraints, to explore the optimal design scheme. The optimization results need to be verified. For the calculated strength and bending stiffness of the design scheme, if both meet the preset range, the scheme becomes the manufacturing standard for the flexible flywheel; otherwise, the optimization variables need to be adjusted and recalculated until a solution that meets the conditions is found. This design method and structure ensure that the flexible flywheel can achieve a balance between ideal bending stiffness and high strength under minimal weight conditions, effectively enhancing the alignment performance of the shaft system and the reliability of the flywheel.

[0085] The optimized solution is further processed by calculating the specific strength and flexural stiffness of the intermediate diaphragm. By analyzing the number, thickness, and relative positions of the diaphragms, the performance of the selected solution is ensured to meet the requirements. This process includes checking whether the calculated strength of the diaphragm corresponding to the target solution is within the minimum strength range and whether its calculated flexural stiffness is within the preset flexural stiffness range. If the solution meets these conditions, it is confirmed as the final design parameter; otherwise, the system automatically adjusts the variables in the optimization model and repeats the solution process until the target solution meets both the strength and flexural stiffness requirements, ensuring the comprehensiveness and practicality of the design. Through continuous iterative optimization, the final solution can achieve precise control of flexural stiffness while maintaining constant torsional stiffness, and simultaneously ensure that the strength of the diaphragm is not lower than the minimum requirement, thereby improving the overall design efficiency and performance of the elastic flywheel.

[0086] In some embodiments, at least two of the aforementioned intermediate membranes have different target thicknesses.

[0087] In this embodiment, at least two intermediate diaphragms have different target thicknesses. This design allows for optimized control of bending stiffness by adjusting the distribution of diaphragm thicknesses, while ensuring torsional stiffness meets the shaft dynamics requirements. Combinations of diaphragms with different thicknesses can effectively improve the flexural flywheel's ability to compensate for shaft alignment without increasing overall weight, while maintaining high reliability. In practical applications, the unequal wall thickness design of the diaphragms can flexibly adapt to various operating conditions, ensuring stability and efficiency during torque transmission, reducing additional stress caused by shaft misalignment, and extending the service life of the flexural flywheel. This optimization not only increases the design freedom of the flexural flywheel but also allows for more precise matching of alignment compensation requirements for different engines and drive systems, achieving a balance between performance and reliability.

[0088] Figure 4 The illustration shows a schematic diagram of a different diaphragm design scheme provided by an embodiment of this application, such as... Figure 4 As shown, the embodiments provided in this application can be used to design implementation schemes with different diaphragm thicknesses. The positional relationships between different diaphragms (i.e., any two diaphragms may be adjacent or non-adjacent) can also be obtained. The embodiments provided in this application can also design schemes with multiple intermediate diaphragms of equal thickness; however, historical data shows that, generally, schemes with different diaphragm thicknesses are more effective than schemes with equal diaphragm thicknesses. Therefore, the embodiments provided in this application generally design schemes with different diaphragm thicknesses.

[0089] Figure 5(a) is a schematic diagram of a design scheme with multiple diaphragms of equal thickness in the prior art, and Figure 5(b) is a schematic diagram of a design scheme with multiple diaphragms of unequal thickness according to an embodiment of this application. In Figure 5(a), the thickness ratio of the multiple diaphragms is 1:1:1:1:1, and in Figure 5(b), the thickness ratio of the multiple diaphragms is 2:3:5:3:2. Table 1 is a parameter comparison table between the equal wall thickness scheme in Figure 5(a) and the unequal wall thickness scheme in Figure 5(b).

[0090] Table 1. Parameter Comparison Table

[0091]

[0092] By comparing the traditional equal wall thickness scheme in Figure 5(a) and the unequal wall thickness optimization scheme in Figure 5(b) in Table 1, it can be seen intuitively that the optimized design scheme effectively reduces the bending stiffness while meeting the requirements of strength and torsional stiffness, thereby enhancing the performance of centering compensation and demonstrating the advantages of the technical solution in this embodiment.

[0093] The elastic flywheel designed in the above embodiments employs a multi-diaphragm connection structure with combinations of different thicknesses. While maintaining constant torsional stiffness, it flexibly controls bending stiffness and strength by combining the number, thickness, and arrangement of the diaphragms, thus achieving both high reliability and shaft alignment compensation capability. Furthermore, the above embodiments propose a design method matching this multi-diaphragm connection structure, obtaining a diaphragm connection scheme that balances alignment compensation requirements and high reliability while ensuring minimal weight.

[0094] To enable those skilled in the art to better understand the technical solution of this application, the implementation process of the parameter determination method of the elastic flywheel of this application will be described in detail below with reference to specific embodiments.

[0095] This embodiment relates to a specific method for determining the parameters of an elastic flywheel, such as... Figure 6 As shown, it includes the following steps:

[0096] First, a dynamic model of the shaft system is built, and the torsional vibration range ≤ θ is obtained through simulation analysis. Then, under the premise of ensuring the torque does not exceed the design target, the required torsional stiffness of the elastic flywheel is determined. Generally, the torsional stiffness that meets the torsional vibration requirements is not unique; multiple values ​​will appear, forming a feasible stiffness set. Then, the total diaphragm thickness is determined based on the feasible stiffness set from smallest to largest.

[0097] Then, an experimental design was used to obtain multiple sample points (each sample point includes the number of membranes, the thickness of a single membrane, and the order of membrane arrangement). An optimized surrogate model was obtained by fitting the sample points, and it was determined whether the prediction error (i.e. the fitting accuracy) of the optimized surrogate model was ≤ the specified value.

[0098] If the prediction error of the optimized surrogate model is less than or equal to a specified value, the optimized surrogate model is used to find the optimal result. If the prediction error of the optimized surrogate model is greater than the specified value, experimental design is used to reselect sample points and fit the model to obtain the optimized surrogate model. After obtaining the optimization result, it is determined whether the bending stiffness corresponding to the optimization result is less than or equal to the preset value K.

[0099] If the bending stiffness corresponding to the optimization result is ≤ the preset value K, determine whether the diaphragm strength corresponding to the optimization result is ≥ the preset value n. If the diaphragm strength corresponding to the optimization result is ≥ the preset value n, determine the optimization result as the final solution.

[0100] If the bending stiffness corresponding to the optimized result is greater than the preset value K, determine whether there are other feasible solutions. If so, check whether the bending stiffness corresponding to the other feasible solutions is less than or equal to the preset value K. If not, repeat the above steps using the next total diaphragm thickness. If the diaphragm strength corresponding to the optimized result is less than the preset value n, determine whether there are other feasible solutions. If so, check whether the diaphragm strength corresponding to the other feasible solutions is greater than or equal to the preset value n. If not, repeat the above steps using the next total diaphragm thickness.

[0101] This application also provides a parameter determination device for an elastic flywheel. It should be noted that this parameter determination device can be used to execute the parameter determination method for an elastic flywheel provided in this application. This device is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0102] The parameter determination device for the elastic flywheel provided in the embodiments of this application will be described below.

[0103] Figure 7 This is a schematic diagram of a parameter determining device for an elastic flywheel according to an embodiment of this application. The elastic flywheel includes a plurality of intermediate diaphragms, and the parameters of the elastic flywheel include the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms, such as... Figure 7As shown, the device includes an acquisition unit 10 and an optimization unit 20. The acquisition unit 10 is used to acquire the total thickness of the diaphragm and the minimum strength range of the diaphragm. The total thickness of the diaphragm is the total thickness of all the intermediate diaphragms in the elastic flywheel. The optimization unit 20 is used to construct an optimization model and solve the optimization model according to the optimization variables, constraints, and optimization objectives to obtain the calculation results. The optimization variables are the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms. The constraints are the total thickness of the diaphragms and the minimum strength range of the diaphragms. The optimization objective is to minimize the bending stiffness of the intermediate diaphragms. If the calculation result has a target solution, the target solution includes the target number of intermediate diaphragms, the target thickness of each intermediate diaphragm, and the target positional relationship between any two intermediate diaphragms.

[0104] The above-mentioned parameter determination device for the elastic flywheel of this application includes an elastic flywheel comprising multiple intermediate diaphragms. The parameters of the elastic flywheel include the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms. The device includes an acquisition unit and an optimization unit. The acquisition unit is used to first acquire the total thickness of the diaphragms and the minimum strength range of the diaphragms. The total thickness of the diaphragms is the total thickness of all intermediate diaphragms in the elastic flywheel. The optimization unit is used to construct an optimization model, and to solve the optimization model with the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms as optimization variables, the total thickness of the diaphragms and the minimum strength range of the diaphragms as constraints, and minimizing the bending stiffness of the intermediate diaphragms as the optimization objective, to obtain the calculation results. If the calculation results show that there is a target solution, the target solution includes the target number of intermediate diaphragms, the target thickness of each intermediate diaphragm, and the target positional relationship between any two intermediate diaphragms. The device calculates that the intermediate diaphragm is a multi-diaphragm connection structure with different thicknesses. While ensuring that the torsional stiffness remains unchanged, the bending stiffness and strength can be flexibly controlled by combining the number of diaphragms, the thickness of the diaphragms, and the arrangement order of the diaphragms. This allows it to take into account both high reliability and shaft alignment compensation capability, solving the problem that the existing shaft connection methods cannot simultaneously meet the requirements of high reliability and shaft alignment compensation.

[0105] As some optional embodiments, the total thickness of the diaphragm can be multiple. The optimization unit includes a first determining module, a first calculating module, and a second calculating module. The first determining module is used to determine the minimum strength range of the diaphragm and the minimum total thickness of the diaphragm as the constraints. The first calculating module is used to solve the optimization model according to the optimization variables, the constraints, and the optimization objective to obtain the calculation results. The second calculating module is used to solve the optimization model in ascending order of the total thickness of the diaphragm as the constraints when the calculation result does not have the objective solution, until the calculation result has the objective solution. This ensures that while pursuing minimum weight, the elastic flywheel can effectively balance the requirements of high reliability and shaft alignment compensation capability, and through intelligent iteration, ultimately achieves the optimal configuration of structural performance.

[0106] As some optional embodiments, the above-described device further includes a second determining module, used to, after solving the optimization model according to the optimization variables, constraints, and optimization objectives, and obtaining the calculation results, determine the solution corresponding to the minimum diaphragm strength of the intermediate diaphragm as the target solution when the calculation results show multiple solutions. This ensures torsional stiffness while minimizing stress concentration at the weakest point, thereby improving the reliability and service life of the entire elastic flywheel.

[0107] As some optional embodiments, the acquisition unit includes a construction module, a simulation module, and a third determination module. The construction module is used to construct a shaft system dynamic model, which is a dynamic model between the elastic flywheel and the shaft system. The elastic flywheel includes an inner ring, an outer ring, and an intermediate diaphragm, the intermediate diaphragm being an elastic diaphragm. The shaft system includes a crankshaft and a motor shaft. The outer ring and the crankshaft are connected by a first connecting structure, and the inner ring and the motor shaft are connected by a second connecting structure. The simulation module is used to simulate the shaft system dynamic model according to the actual operating conditions of the engine with the elastic flywheel, to obtain the shaft system torsional vibration of the elastic flywheel, and to simulate the shaft system dynamic model according to the shaft system torsional vibration, to obtain the torsional stiffness of the elastic flywheel, which has multiple torsional stiffnesses. The third determination module is used to determine the corresponding total thickness of the diaphragm based on the torsional stiffness, which has multiple total thicknesses, and the torsional stiffness corresponds one-to-one with the total thickness of the diaphragm. Under the premise of satisfying torsional stiffness, the bending stiffness and strength of the diaphragm are optimized, and finally a flexible flywheel diaphragm design scheme that ensures high reliability and has good shaft alignment compensation capability is obtained.

[0108] As some optional embodiments, the optimization unit includes a fourth determining module, a fitting module, a fifth determining module, and a sixth determining module. The fourth determining module is used to determine multiple sample points using the principle of experimental design, and to determine the total thickness of the diaphragm and the minimum strength range of the diaphragm corresponding to each sample point. Each sample point corresponds to the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms. The fitting module is used to fit an initial model based on all the sample points and the corresponding total thickness and minimum strength range of the diaphragm, and to determine the fitting accuracy of the initial model. The fifth determining module is used to determine the initial model as the optimized model if the fitting accuracy of the initial model is greater than or equal to a preset accuracy, wherein the optimized model is a high-latitude equation model. The sixth determining module is used to repeat the first determining step and the fitting step if the fitting accuracy of the initial model is less than the preset accuracy, until the fitting accuracy of the fitted initial model is greater than or equal to the preset accuracy. This effectively improves the design efficiency and performance of the diaphragm elastic flywheel.

[0109] As some optional embodiments, the above-mentioned device further includes a third calculation module, a seventh determination module, and a fourth calculation module. The third calculation module is used to solve the optimization model according to the optimization variables, constraints, and optimization objectives, and after obtaining the calculation results, calculate the calculated strength and calculated bending stiffness of the intermediate diaphragm according to the target number of intermediate diaphragms, the target thickness of each intermediate diaphragm, and the target positional relationship between any two intermediate diaphragms, wherein the target positional relationship is either adjacent or non-adjacent. The seventh determination module is used to determine the parameters corresponding to the target solution as the manufacturing parameters of the elastic flywheel when the calculated strength is within the minimum strength range of the diaphragm and the calculated bending stiffness is within the preset bending stiffness range. The fourth calculation module is used to re-solve the optimization model and obtain updated calculation results when the calculated strength of the intermediate diaphragm corresponding to the target solution is within the minimum strength range of the diaphragm and / or the calculated bending stiffness is not within the preset bending stiffness range, until the calculated strength of the intermediate diaphragm corresponding to the target solution is within the minimum strength range of the diaphragm and the calculated bending stiffness corresponding to the target solution is within the preset bending stiffness range. This design method and structure ensure that the flexible flywheel can achieve an ideal balance between bending stiffness and high strength under minimal weight conditions, effectively enhancing the alignment performance of the shaft system and the reliability of the flywheel.

[0110] As some alternative embodiments, at least two of the aforementioned intermediate diaphragms have different target thicknesses. This optimization not only increases the design freedom of the flexible flywheel but also enables more precise matching of the alignment compensation requirements of different engines and drive systems, achieving a balance between performance and reliability.

[0111] The aforementioned parameter determination device for the flexible flywheel includes a processor and a memory. The aforementioned acquisition units are all stored as program units in the memory, and the processor executes these program units to achieve the corresponding functions. All of the aforementioned modules are located in the same processor; alternatively, the aforementioned modules may be located in different processors in any combination.

[0112] The processor contains a kernel, which retrieves the corresponding program unit from memory. One or more kernels can be configured, and adjusting kernel parameters can address the problem that existing shaft connection methods cannot simultaneously achieve high reliability and shaft neutrality compensation requirements.

[0113] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0114] This invention provides a computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device containing the computer-readable storage medium to perform the parameter determination method for the elastic flywheel.

[0115] This invention provides a processor for running a program, wherein the program executes the parameter determination method for the elastic flywheel.

[0116] This invention provides a device including a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it performs at least the following steps:

[0117] Step S202: Construct an optimization model and solve the optimization model according to the optimization variables, constraints, and optimization objective to obtain the calculation results; wherein, the optimization variables are the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms; the constraints are the total thickness of the diaphragms and the minimum strength range of the diaphragms; and the optimization objective is to minimize the bending stiffness of the intermediate diaphragms; if the calculation result has a target solution, the target solution includes the target number of intermediate diaphragms, the target thickness of each intermediate diaphragm, and the target positional relationship between any two intermediate diaphragms.

[0118] Specifically, the optimization variables include the number of diaphragms, the thickness of individual diaphragms, and the arrangement of diaphragms; the constraints refer to the total thickness of the diaphragms and the minimum strength range of the diaphragms; the optimization objective is to minimize the bending stiffness of the diaphragms. During model construction, a response surface methodology or other advanced optimization algorithms are used to calculate the impact of diaphragm configuration on bending stiffness using a limited number of sample points, thereby finding the optimal diaphragm design. By constructing the optimization model, the diaphragm combination that minimizes bending stiffness can be identified while meeting torsional stiffness and strength requirements, thus improving the shaft alignment compensation capability and enhancing the overall system stability. The optimization method based on the surrogate model can quickly approximate the optimal solution through precise calculations using a small number of sample points, avoiding the lengthy process of traditional trial-and-error methods and significantly improving design efficiency.

[0119] The devices mentioned in this article can be servers, PCs, tablets, mobile phones, etc.

[0120] This application also provides a computer program product, which, when executed on a data processing device, is suitable for executing an initialization program having at least the following method steps:

[0121] Step S201: Obtain the total thickness of the diaphragm and the minimum strength range of the diaphragm. The total thickness of the diaphragm is the total thickness of all the intermediate diaphragms in the elastic flywheel.

[0122] Specifically, the total diaphragm thickness is determined based on the expected torsional stiffness requirements, which dictates the amount of torque the flywheel can absorb and transmit. The minimum strength range of the diaphragm is set based on an understanding of the material's fatigue characteristics, ensuring the diaphragm can withstand repeated stresses under predetermined operating conditions without failure or breakage. Determining the total diaphragm thickness and strength range provides a basic framework for the design of the flexible flywheel, ensuring that the design meets torque transmission requirements while guaranteeing reliability under complex operating conditions. The setting of the total diaphragm thickness and strength range is based on shaft dynamics analysis, considering the characteristics of shaft torsional vibration and the calculation of torsional and bending stresses under various loads, thus deriving a diaphragm configuration that effectively reduces stress fluctuations in the transmission system while ensuring sufficient diaphragm strength.

[0123] Step S202: Construct an optimization model and solve the optimization model according to the optimization variables, constraints, and optimization objective to obtain the calculation results; wherein, the optimization variables are the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms; the constraints are the total thickness of the diaphragms and the minimum strength range of the diaphragms; and the optimization objective is to minimize the bending stiffness of the intermediate diaphragms; if the calculation result has a target solution, the target solution includes the target number of intermediate diaphragms, the target thickness of each intermediate diaphragm, and the target positional relationship between any two intermediate diaphragms.

[0124] Specifically, the optimization variables include the number of diaphragms, the thickness of individual diaphragms, and the arrangement of diaphragms; the constraints refer to the total thickness of the diaphragms and the minimum strength range of the diaphragms; the optimization objective is to minimize the bending stiffness of the diaphragms. During model construction, a response surface methodology or other advanced optimization algorithms are used to calculate the impact of diaphragm configuration on bending stiffness using a limited number of sample points, thereby finding the optimal diaphragm design. By constructing the optimization model, the diaphragm combination that minimizes bending stiffness can be identified while meeting torsional stiffness and strength requirements, thus improving the shaft alignment compensation capability and enhancing the overall system stability. The optimization method based on the surrogate model can quickly approximate the optimal solution through precise calculations using a small number of sample points, avoiding the lengthy process of traditional trial-and-error methods and significantly improving design efficiency.

[0125] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. They can be implemented using computer-executable program code, and thus can be stored in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those described herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0126] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0127] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0128] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0129] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0130] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0131] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, like read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0132] Computer-readable media include both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0133] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0134] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0135] As can be seen from the above description, the embodiments of this application achieve the following technical effects:

[0136] 1) The parameter determination method of the above-mentioned elastic flywheel in this application includes multiple intermediate diaphragms. The parameters of the elastic flywheel include the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms. The method first obtains the total thickness of the diaphragms and the minimum strength range of the diaphragms. The total thickness of the diaphragms is the total thickness of all intermediate diaphragms in the elastic flywheel. Then, an optimization model is constructed, and the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms are used as optimization variables. The total thickness of the diaphragms and the minimum strength range of the diaphragms are used as constraints. The optimization objective is to minimize the bending stiffness of the intermediate diaphragms. The optimization model is solved to obtain the calculation results. If the calculation results have a target solution, the target solution includes the target number of intermediate diaphragms, the target thickness of each intermediate diaphragm, and the target positional relationship between any two intermediate diaphragms. The intermediate diaphragm calculated by this method is a multi-diaphragm connection structure with different thicknesses. While ensuring that the torsional stiffness remains unchanged, the bending stiffness and strength can be flexibly controlled by flexibly combining the number of diaphragms, the thickness of the diaphragms, and the arrangement order of the diaphragms. This allows it to take into account both high reliability and shaft alignment compensation capability, solving the problem that the existing shaft connection methods cannot simultaneously take into account the requirements of high reliability and shaft alignment compensation.

[0137] 2) The parameter determination device for the elastic flywheel described in this application includes multiple intermediate diaphragms. The parameters of the elastic flywheel include the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms. The device includes an acquisition unit and an optimization unit. The acquisition unit is used to first acquire the total thickness of the diaphragms and the minimum strength range of the diaphragms. The total thickness of the diaphragms is the total thickness of all intermediate diaphragms in the elastic flywheel. The optimization unit is used to construct an optimization model and use the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms as optimization variables, the total thickness of the diaphragms and the minimum strength range of the diaphragms as constraints, and minimizing the bending stiffness of the intermediate diaphragms as the optimization objective to solve the optimization model and obtain the calculation results. If the calculation results show that there is a target solution, the target solution includes the target number of intermediate diaphragms, the target thickness of each intermediate diaphragm, and the target positional relationship between any two intermediate diaphragms. The device calculates that the intermediate diaphragm is a multi-diaphragm connection structure with different thicknesses. While ensuring that the torsional stiffness remains unchanged, the bending stiffness and strength can be flexibly controlled by combining the number of diaphragms, the thickness of the diaphragms, and the arrangement order of the diaphragms. This allows it to take into account both high reliability and shaft alignment compensation capability, solving the problem that the existing shaft connection methods cannot simultaneously meet the requirements of high reliability and shaft alignment compensation.

[0138] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for determining the parameters of an elastic flywheel, the elastic flywheel comprising a plurality of intermediate diaphragms, wherein the parameters of the elastic flywheel include the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms, characterized in that, The method includes: Obtain the total thickness of the diaphragm and the minimum strength range of the diaphragm, wherein the total thickness of the diaphragm is the total thickness of all the intermediate diaphragms in the elastic flywheel; An optimization model is constructed, and the model is solved based on the optimization variables, constraints, and optimization objective to obtain the calculation results. The optimization variables are the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms. The constraints are the total thickness of the diaphragms and the minimum strength range of the diaphragms. The optimization objective is to minimize the bending stiffness of the intermediate diaphragms. If the calculation result shows a target solution, the target solution includes the target number of intermediate diaphragms, the target thickness of each intermediate diaphragm, and the target positional relationship between any two intermediate diaphragms. To obtain the total thickness of the membrane, including: A shaft system dynamic model is constructed, which is a dynamic model between the elastic flywheel and the shaft system. The elastic flywheel includes an inner ring, an outer ring, and an intermediate diaphragm. The intermediate diaphragm is an elastic diaphragm. The shaft system includes a crankshaft and a motor shaft. The outer ring and the crankshaft are connected by a first connecting structure, and the inner ring and the motor shaft are connected by a second connecting structure. Based on the actual operating conditions of the engine with the elastic flywheel, the shaft dynamics model is simulated to obtain the shaft torsional vibration of the elastic flywheel. Based on the shaft torsional vibration, the shaft dynamics model is simulated to obtain the torsional stiffness of the elastic flywheel. There are multiple torsional stiffnesses. The total thickness of the diaphragm is determined according to the torsional stiffness. There are multiple total thicknesses of the diaphragm, and the torsional stiffness corresponds one-to-one with the total thickness of the diaphragm. The target thicknesses of at least two of the intermediate membranes are different.

2. The method according to claim 1, characterized in that, The membrane has multiple total thicknesses. Based on the optimization variables, constraints, and optimization objectives, the optimization model is solved to obtain the calculation results, including: The minimum strength range of the diaphragm and the minimum total thickness of the diaphragm are defined as the constraint conditions; The optimization model is solved based on the optimization variables, the constraints, and the optimization objective to obtain the calculation results; If the calculation result is that there is no target solution, the optimization model is solved by using the total thickness of the membrane as the constraint condition in ascending order until the calculation result is that there is a target solution.

3. The method according to claim 1, characterized in that, After solving the optimization model based on the optimization variables, constraints, and optimization objective to obtain the calculation results, the method further includes: If the calculation result shows that there are multiple solutions, the solution corresponding to the minimum membrane strength of the intermediate membrane is determined as the target solution.

4. The method according to claim 1, characterized in that, Constructing an optimization model includes: The first determination step involves using the principle of experimental design to determine multiple sample points, and determining the total thickness of the membrane and the minimum strength range of the membrane corresponding to each sample point. Each sample point corresponds to the number of membranes in a set of intermediate membranes, the thickness of a single intermediate membrane, and the positional relationship between any two intermediate membranes. The fitting step involves fitting an initial model based on all the sample points, the corresponding total thickness of the membrane, and the minimum strength range of the membrane, and determining the fitting accuracy of the initial model. The second determination step involves determining the initial model as the optimized model if the fitting accuracy of the initial model is greater than or equal to a preset accuracy, wherein the optimized model is a high-latitude equation model. Repeat the steps. If the fitting accuracy of the initial model is less than the preset accuracy, repeat the first determining step and the fitting step until the fitting accuracy of the fitted initial model is greater than or equal to the preset accuracy.

5. The method according to claim 1, characterized in that, After solving the optimization model based on the optimization variables, constraints, and optimization objective to obtain the calculation results, the method further includes: The calculated strength and calculated bending stiffness of the intermediate diaphragm are calculated based on the number of target diaphragms, the target thickness of each intermediate diaphragm, and the target positional relationship between any two intermediate diaphragms. The target positional relationship can be either adjacent or non-adjacent. If the calculated strength is within the minimum strength range of the diaphragm and the calculated bending stiffness is within the preset bending stiffness range, the parameters corresponding to the target solution are determined as the manufacturing parameters of the elastic flywheel. If the calculated strength is not within the minimum strength range of the diaphragm, and / or the calculated bending stiffness is not within the preset bending stiffness range, the optimization model is re-solved to obtain updated calculation results until the calculated strength of the intermediate diaphragm corresponding to the target solution is within the minimum strength range of the diaphragm, and the calculated bending stiffness corresponding to the target solution is within the preset bending stiffness range.

6. A parameter determining device for an elastic flywheel, the elastic flywheel comprising a plurality of intermediate diaphragms, wherein the parameters of the elastic flywheel include the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms, characterized in that, The device determines the parameters of the elastic flywheel using the parameter determination method for the elastic flywheel according to any one of claims 1 to 5, and the device comprises: The acquisition unit is used to acquire the total thickness of the diaphragm and the minimum strength range of the diaphragm, wherein the total thickness of the diaphragm is the total thickness of all the intermediate diaphragms in the elastic flywheel; An optimization unit is used to construct an optimization model and solve the optimization model according to the optimization variables, constraints, and optimization objectives to obtain calculation results. The optimization variables are the number of intermediate diaphragms, the thickness of a single intermediate diaphragm, and the positional relationship between any two intermediate diaphragms. The constraints are the total thickness of the diaphragms and the minimum strength range of the diaphragms. The optimization objective is to minimize the bending stiffness of the intermediate diaphragms. If the calculation result shows a target solution, the target solution includes the target number of intermediate diaphragms, the target thickness of each intermediate diaphragm, and the target positional relationship between any two intermediate diaphragms.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device containing the computer-readable storage medium to perform the parameter determination method for the elastic flywheel as described in any one of claims 1 to 5.

8. An electronic device, characterized in that, include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including a method for performing a parameter determination method for an elastic flywheel as described in any one of claims 1 to 5.

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