Method and device for determining modulus of tire material

Abstract

The invention discloses a tire material modulus determination method and device. The method comprises the steps that a two-dimensional material distribution diagram of a tire is obtained, a two-dimensional finite element tire model is constructed based on the two-dimensional material distribution diagram, and then a three-dimensional finite element tire model is constructed; the circulation process is as follows: first modulus distribution data of the current circulation are taken, and second modulus distribution data are obtained through amplification by a preset multiple; the first modulus distribution data and the second modulus distribution data are substituted into the three-dimensional model for steady-state rolling simulation, and a first simulation result and a second simulation result are obtained; determining deformation index distribution data of the tire according to the two simulation results; if the deformation index does not meet the preset condition, correcting the first modulus distribution data according to a preset adjustment rule, and applying the first modulus distribution data to the next cycle; and if a preset condition is met, ending circulation, and outputting final first modulus distribution data. The technical problems of low durability and high rolling resistance of the tire caused by unreasonable configuration of the modulus of the tire material in the tire production process are solved.

Description

Technical Field

[0001] This application relates to the field of tire production design technology, and more specifically, to a method and apparatus for determining the modulus of tire materials. Background Technology

[0002] Driven by both global environmental trends and the widespread adoption of electric vehicles, tire performance research, particularly in rolling resistance and durability, has failed to fully meet market demands and technological expectations. On one hand, the high sensitivity of electric vehicles to driving range necessitates a reduction in rolling resistance to improve energy efficiency. However, most existing technologies remain theoretical, lacking effective practical transformation mechanisms. Significant technical bottlenecks exist, particularly in the precise control of material parameters and the intelligent matching of deformation modes. On the other hand, tire durability optimization faces similar challenges. Although structural design is considered a key influencing factor, the mechanism by which material properties affect durability has not been fully explored and applied.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This application provides a method and apparatus for determining the modulus of tire materials, so as to at least solve the technical problem that the unreasonable configuration of the modulus of tire materials during the tire production process leads to low tire durability and high rolling resistance.

[0005] According to one aspect of the embodiments of this application, a method for determining the material modulus of a tire is provided, comprising: acquiring a two-dimensional material distribution map of the tire; constructing a two-dimensional finite element tire model based on the two-dimensional material distribution map; and constructing a three-dimensional finite element tire model based on the two-dimensional finite element tire model; cyclically executing the following steps: acquiring first modulus distribution data for the current cycle, and increasing the first modulus distribution data by a preset factor to obtain second modulus distribution data, wherein the first modulus distribution data for the first cycle is a preset initial modulus distribution data; substituting the first modulus distribution data and the second modulus distribution data into the three-dimensional finite element tire model respectively to perform steady-state rolling simulation, and obtaining a first simulation result and a second simulation result; determining the deformation index distribution data of the tire based on the first simulation result and the second simulation result; if the deformation index distribution data does not meet preset conditions, adjusting the first modulus distribution data according to preset adjustment rules, and using the adjusted first modulus distribution data as the first modulus distribution data for the next cycle; if the deformation index distribution data meets preset conditions, determining the cycle termination, and outputting the first modulus distribution data.

[0006] Optionally, a two-dimensional finite element tire model is constructed based on a two-dimensional material distribution map, and a three-dimensional finite element tire model is constructed based on the two-dimensional finite element tire model, including: constructing a two-dimensional tire model based on a two-dimensional material distribution map; meshing the two-dimensional tire model to obtain multiple elements, defining element types, obtaining element sets corresponding to different tire components, defining the contact surface of the two-dimensional tire model, and defining the material constitutive model and cross-sectional properties corresponding to the two-dimensional tire model to obtain a two-dimensional finite element tire model; performing inflation simulation on the two-dimensional finite element tire model based on a preset inflation pressure and a preset inflation analysis step; rotating the two-dimensional finite element tire model after inflation simulation one revolution in the circumferential direction to obtain a three-dimensional finite element tire model.

[0007] Optionally, the first modulus distribution data includes: a first modulus parameter configured for each element in the three-dimensional finite element tire model; the second modulus distribution data includes: a second modulus parameter obtained by increasing the first modulus parameter corresponding to each element in the first modulus distribution data by a preset multiple.

[0008] Optionally, the first modulus distribution data and the second modulus distribution data are substituted into the three-dimensional finite element tire model for steady-state rolling simulation to obtain the first simulation result and the second simulation result. This includes: substituting each first modulus parameter in the first modulus distribution data into the corresponding element in the three-dimensional finite element tire model, and performing steady-state rolling simulation on the three-dimensional finite element tire model based on a preset steady-state rolling analysis step to obtain the first simulation result, wherein the first simulation result includes the first stress and strain data corresponding to each element in the three-dimensional finite element tire model; and substituting each second modulus parameter in the second modulus distribution data into the corresponding element in the three-dimensional finite element tire model, and performing steady-state rolling simulation on the three-dimensional finite element tire model based on a preset steady-state rolling analysis step to obtain the second simulation result, wherein the second simulation result includes the second stress and strain data corresponding to each element in the three-dimensional finite element tire model.

[0009] Optionally, the stress-strain data includes strain energy amplitude. The deformation index distribution data of the tire is determined based on the first simulation results and the second simulation results, including: for each element in the three-dimensional finite element tire model, determining the first modulus parameter and the second modulus parameter corresponding to the element, and determining the first strain energy amplitude corresponding to the element from the first simulation results and the second strain energy amplitude corresponding to the element from the second simulation results; determining the deformation index of the element based on the first modulus parameter, the second modulus parameter, the first strain energy amplitude, and the second strain energy amplitude; and using the set of deformation indices of multiple elements as the deformation index distribution data.

[0010] Optionally, determining the deformation index of the element based on the first modulus parameter, the second modulus parameter, the first strain energy amplitude, and the second strain energy amplitude includes: calculating the deformation index of the element according to the following formula: In the formula, m represents the deformation index, E1 and E2 represent the first modulus parameter and the second modulus parameter, respectively, and W1 and W2 represent the first strain energy amplitude and the second strain energy amplitude, respectively.

[0011] Optionally, the stress-strain data includes stress values ​​and strain values. The deformation index distribution data of the tire is determined based on the first simulation results and the second simulation results, including: for each element in the three-dimensional finite element tire model, determining the first modulus parameter, the second modulus parameter, the first stress-strain data, and the second stress-strain data corresponding to the element; preprocessing the first stress-strain data and the second stress-strain data respectively, and determining the first energy loss of the element based on the preprocessed first stress-strain data, and determining the second energy loss of the element based on the preprocessed second stress-strain data, wherein the preprocessing includes: interpolation processing and Fourier transform; determining the deformation index of the element based on the first modulus parameter, the second modulus parameter, the first energy loss, and the second energy loss; and using the set of deformation indices of multiple elements as the deformation index distribution data.

[0012] Optionally, determining the deformation index of the element based on the first modulus parameter, the second modulus parameter, the first energy loss, and the second energy loss includes: calculating the deformation index of the element according to the following formula: In the formula, m represents the deformation index, E1 and E2 represent the first modulus parameter and the second modulus parameter, respectively, and Q1 and Q2 represent the first energy loss and the second energy loss, respectively.

[0013] Optionally, the preset conditions include: in the deformation index distribution data, the absolute value of the deformation index of each element in the three-dimensional finite element tire model is less than the preset deformation index threshold.

[0014] Optionally, the first modulus distribution data is adjusted according to a preset adjustment rule, including: for each element in the three-dimensional finite element tire model, the first modulus parameter of the element is adjusted according to the following formula: E1 ′ =a -m E1, where E1 ′ This represents the adjusted first modulus parameter, and 'a' represents the preset adjustment coefficient.

[0015] Optionally, the first modulus distribution data is output, including: determining the first modulus parameter in the first modulus distribution data corresponding to each element in the three-dimensional finite element tire model;

[0016] All first modulus parameters are output in the form of a contour map, where the first modulus parameters corresponding to different modulus ranges are displayed in different colors in the contour map.

[0017] Optionally, the method further includes: for each component of the tire, calculating the average value of the first modulus parameters of all units corresponding to the component as the target modulus parameter of the component; and outputting the mapping relationship between each component and its corresponding target modulus parameter.

[0018] According to another aspect of the embodiments of this application, a device for determining the material modulus of a tire is also provided, comprising: a modeling module, configured to acquire a two-dimensional material distribution map of the tire, construct a two-dimensional finite element tire model based on the two-dimensional material distribution map, and construct a three-dimensional finite element tire model based on the two-dimensional finite element tire model; and a modulus determination module, configured to repeatedly execute the following steps: acquiring first modulus distribution data for the current cycle, and increasing the first modulus distribution data by a preset multiple to obtain second modulus distribution data, wherein the first modulus distribution data for the first cycle is a preset initial modulus distribution data; substituting the first modulus distribution data and the second modulus distribution data into the three-dimensional finite element tire model for steady-state rolling simulation, respectively, to obtain a first simulation result and a second simulation result; determining the deformation index distribution data of the tire based on the first simulation result and the second simulation result; adjusting the first modulus distribution data according to a preset adjustment rule when the deformation index distribution data does not meet a preset condition, and using the adjusted first modulus distribution data as the first modulus distribution data for the next cycle; and determining the cycle termination and outputting the first modulus distribution data when the deformation index distribution data meets the preset condition.

[0019] According to another aspect of the embodiments of this application, a computer program product is also provided, the computer program product comprising: a computer program, wherein when the computer program is executed by a processor, it implements the above-described method for determining the tire material modulus.

[0020] According to another aspect of the embodiments of this application, an electronic device is also provided, the electronic device including: a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the above-described method for determining the tire material modulus through the computer program.

[0021] In this embodiment, a two-dimensional finite element tire model is constructed using a two-dimensional material distribution map, and then extended to a three-dimensional model. This allows the analysis to be performed in an environment closer to the real tire structure, enhancing the accuracy and reliability of the simulation results. In the loop, the first modulus distribution data is increased by a preset factor to generate the second modulus distribution data. This introduces changes in material properties and simulates the tire behavior under different modulus configurations. By comparing the first and second simulation results, the impact of modulus changes on tire performance can be quantitatively analyzed. The calculation of the deformation index distribution data is based on the comparison between the first and second simulation results. It quantifies the sensitivity of material elements to changes in strain energy amplitude, thereby revealing the deformation mode of each element. When the modulus distribution data does not meet the preset conditions, the first modulus distribution data is automatically adjusted according to the preset adjustment rules. Through iteration, the system gradually approaches the optimal modulus distribution to ensure that the tire performance reaches the optimization target. Once the deformation index distribution data meets the preset conditions, that is, the absolute value of the deformation index of each unit is lower than the given threshold, the loop terminates and the current first modulus distribution data is output as the optimization result. This indicates that the tire material configuration has reached the ideal state, that is, it can maintain a good deformation mode under various stress conditions, minimize energy loss, thereby reducing sliding resistance and improving durability. This solves the technical problem of low tire durability and high rolling resistance caused by unreasonable configuration of tire material modulus in the tire production process. Attached Figure Description

[0022] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0023] Figure 1 This is a flowchart illustrating an optional method for determining the modulus of tire material according to an embodiment of this application.

[0024] Figure 2 This is a schematic diagram of the structure of an optional two-dimensional tire finite element model according to an embodiment of this application;

[0025] Figure 3 This is a schematic diagram of the structure of an optional three-dimensional tire finite element model according to an embodiment of this application;

[0026] Figure 4 This is a schematic diagram of an optional unit modulus parameter cloud diagram according to an embodiment of this application;

[0027] Figure 5 This is a schematic diagram of an optional device for determining the modulus of tire material according to an embodiment of this application;

[0028] Figure 6 This is a schematic diagram of the structure of an optional electronic device according to an embodiment of this application. Detailed Implementation

[0029] 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.

[0030] It should be noted that the terms "first," "second," etc., used in the specification, claims, and 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 so that the embodiments of this application described herein can be implemented in orders other than those illustrated or 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.

[0031] Example 1

[0032] According to an embodiment of this application, a method for determining the modulus of tire material is provided. 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.

[0033] Figure 1 This is a flowchart illustrating a method for determining the modulus of tire materials according to an embodiment of this application, as shown below. Figure 1 As shown, the method includes the following steps:

[0034] Step S102: Obtain a two-dimensional material distribution map of the tire, construct a two-dimensional finite element tire model based on the two-dimensional material distribution map, and construct a three-dimensional finite element tire model based on the two-dimensional finite element tire model.

[0035] Step S102, repeat the following steps:

[0036] Obtain the first modulus distribution data of the current loop, and increase the first modulus distribution data by a preset multiple to obtain the second modulus distribution data. The first modulus distribution data of the first loop is the preset initial modulus distribution data.

[0037] The first and second modulus distribution data were substituted into the three-dimensional finite element tire model to perform steady-state rolling simulation, and the first and second simulation results were obtained.

[0038] The tire deformation index distribution data are determined based on the first and second simulation results;

[0039] If the deformation index distribution data does not meet the preset conditions, the first modulus distribution data is adjusted according to the preset adjustment rules, and the adjusted first modulus distribution data is used as the first modulus distribution data for the next cycle.

[0040] If the deformation index distribution data meets the preset conditions, the loop is terminated and the first modulus distribution data is output.

[0041] The following section explains each step of the method for determining the modulus of tire materials, using a specific implementation process as an example.

[0042] First, a two-dimensional material distribution map of the tire is obtained. A two-dimensional finite element tire model is constructed based on the two-dimensional material distribution map, and a three-dimensional finite element tire model is constructed based on the two-dimensional finite element tire model.

[0043] As an optional implementation, the above process can be carried out in the following steps: constructing a two-dimensional tire model based on a two-dimensional material distribution map; meshing the two-dimensional tire model to obtain multiple elements, defining element types, obtaining element sets corresponding to different tire components, defining the contact surface of the two-dimensional tire model, and defining the material constitutive model and cross-sectional properties corresponding to the two-dimensional tire model to obtain a two-dimensional finite element tire model; performing inflation simulation on the two-dimensional finite element tire model based on a preset inflation pressure and a preset inflation analysis step; rotating the two-dimensional finite element tire model after inflation simulation one revolution around the circumference to obtain a three-dimensional finite element tire model. Figure 2 A schematic diagram of a two-dimensional finite element tire model is given. Figure 3 A schematic diagram of the structure of a three-dimensional finite element tire model is given.

[0044] For example, a two-dimensional material distribution map of the tire is obtained, which details the location and material properties of each component (such as the tread, sidewall, and ply) on the tire's cross-section. Using professional finite element analysis software (such as ABAQUS or ANSYS), a two-dimensional tire model is created based on the material distribution map. This model should accurately reflect the tire's geometry and material distribution. The two-dimensional tire model is then meshed, dividing it into a series of interconnected small elements to facilitate more detailed mechanical analysis. The accuracy of the mesh directly affects the accuracy of subsequent analyses. Based on the characteristics of different tire components, corresponding element types (such as shell elements and solid elements) are defined, and elements of the same type are grouped into different sets to facilitate the specification of subsequent material properties and result analysis. The tire's contact with the ground is a crucial aspect of its operation; therefore, the tire's contact surface needs to be defined. Reasonable contact properties, including friction coefficient and clearance, are set to ensure that the simulation results truly reflect the working state of the tire. Detailed material constitutive models (such as Neo-Hookean models, Mooney-Rivlin models, etc.) and cross-sectional properties (such as thickness, number of layers, etc.) are specified for each element set to reflect the actual mechanical behavior of the material. The tire inflation pressure is defined, and an inflation analysis step is set to perform inflation simulation to simulate the tire's shape under normal working pressure. After the inflation simulation is completed, the model's geometry is checked for rationality, and the deformation state of each part of the tire under inflation pressure is confirmed to ensure correct model initialization. The inflated two-dimensional tire model is rotated circumferentially to generate a three-dimensional tire model. During the rotation, the increment of the rotation section element and node number, as well as the number of circumferential rotations, are set to ensure the continuity and integrity of the three-dimensional model.

[0045] Repeat the following steps:

[0046] S1, obtain the first modulus distribution data of the current loop, and increase the first modulus distribution data by a preset multiple to obtain the second modulus distribution data, wherein the first modulus distribution data of the first loop is the preset initial modulus distribution data;

[0047] As an optional implementation, the first modulus distribution data includes: a first modulus parameter configured for each element in the three-dimensional finite element tire model; the second modulus distribution data includes: a second modulus parameter obtained by increasing the first modulus parameter corresponding to each element in the first modulus distribution data by a preset multiple.

[0048] For example, the first modulus distribution data consists of the modulus parameters of each element in the three-dimensional finite element tire model. These parameters reflect the mechanical properties of each material in the model and are one of the key inputs for tire performance simulation analysis. The first modulus distribution data in the first cycle is the preset initial modulus distribution data, which is usually based on tire design standards, industry experience, or the results of preliminary simulation analysis. It provides the initial material modulus configuration for the tire model. The modulus parameters of each element in the first modulus distribution data are increased by a preset factor to generate the second modulus distribution data. The selection of the preset factor (such as 1.1 to 1.5 times) is crucial for exploring the impact of modulus on tire performance. Too large or too small a factor may affect the efficiency and accuracy of optimization.

[0049] S2, substitute the first modulus distribution data and the second modulus distribution data into the three-dimensional finite element tire model to perform steady-state rolling simulation, and obtain the first simulation result and the second simulation result;

[0050] S3, Determine the tire deformation index distribution data based on the first simulation results and the second simulation results;

[0051] As an optional implementation, the first modulus distribution data and the second modulus distribution data are substituted into the three-dimensional finite element tire model for steady-state rolling simulation to obtain the first simulation result and the second simulation result. This process can be carried out in the following steps: Substitute each first modulus parameter in the first modulus distribution data into the corresponding element in the three-dimensional finite element tire model, and perform steady-state rolling simulation on the three-dimensional finite element tire model based on a preset steady-state rolling analysis step to obtain the first simulation result, wherein the first simulation result includes the first stress and strain data corresponding to each element in the three-dimensional finite element tire model; Substitute each second modulus parameter in the second modulus distribution data into the corresponding element in the three-dimensional finite element tire model, and perform steady-state rolling simulation on the three-dimensional finite element tire model based on a preset steady-state rolling analysis step to obtain the second simulation result, wherein the second simulation result includes the second stress and strain data corresponding to each element in the three-dimensional finite element tire model.

[0052] It should be noted that stress-strain data can include strain energy amplitude or stress and strain values. Depending on the data, different methods can be used to obtain deformation index distribution data.

[0053] As an optional implementation, when the stress-strain data includes strain energy amplitude, the deformation index distribution data of the tire can be determined based on the first simulation result and the second simulation result by taking the following steps: For each element in the three-dimensional finite element tire model, determine the first modulus parameter and the second modulus parameter corresponding to the element, and determine the first strain energy amplitude corresponding to the element from the first simulation result, and determine the second strain energy amplitude corresponding to the element from the second simulation result; determine the deformation index of the element based on the first modulus parameter, the second modulus parameter, the first strain energy amplitude, and the second strain energy amplitude; and take the set of deformation indices of multiple elements as the deformation index distribution data.

[0054] The first modulus parameter is set at the start of the current iteration based on the original or previous optimization results, while the second modulus parameter is generated by multiplying the first modulus parameter by a preset multiple (between 1.1 and 1.5). This operation aims to perturb the original modulus state and observe its opposing effects. Next, the first strain energy amplitude of each element is obtained from the first simulation results, which reflects the change in energy consumption of the element during stable rolling under the first modulus parameter. The second strain energy amplitude of each element is obtained from the second simulation results, which is the corresponding energy consumption change data obtained under the second modulus parameter. The strain energy amplitude is the change in energy consumed by each element in the finite element model due to elastic deformation in one rolling cycle (or other periodic load cycles). In the rolling of the tire, it reflects the energy loss of the tire during the process of contacting the ground and returning to its original shape. In the simulation analysis, the software calculates the strain energy distribution of each element in the stable rolling state. The strain energy amplitude can be obtained by calculating the difference between the maximum and minimum values ​​of the element strain energy in a single cycle.

[0055] The deformation index of the element is determined based on the first modulus parameter, the second modulus parameter, the first strain energy amplitude, and the second strain energy amplitude, which can be achieved by the following steps:

[0056] The deformation index of the element is calculated using the following formula:

[0057]

[0058] In the formula, m represents the deformation index, E1 and E2 represent the first and second modulus parameters, respectively, and W1 and W2 represent the first and second strain energy amplitudes, respectively. This formula evaluates the influence of material modulus variation on the element strain energy amplitude, thereby revealing the relationship between material properties and deformation modes.

[0059] The derivation of the above formula is as follows:

[0060] For general stress-strain relationships, we have:

[0061] σ=Eε

[0062] E is the modulus of the element material, and ε represents the stiffness of the element material.

[0063]

[0064] p usually represents a factor in the linear elasticity law, and its specific type is determined by the choice of parameter m. Taking the derivative of the above equation, we can obtain:

[0065]

[0066] Assuming dp = 0, i.e. keeping the deformation mode unchanged, we can obtain:

[0067]

[0068] The deformation index m can be obtained as:

[0069]

[0070] dW is the difference in element strain energy amplitude, i.e., W2-W1; dE is the difference in element modulus, i.e., E2-E1; W is the element strain energy amplitude under the first calculation, i.e., W1; and E is the element modulus E1 under the first calculation.

[0071] As an optional implementation, when the stress-strain data includes stress and strain values, the deformation index distribution data of the tire can be determined based on the first and second simulation results by taking the following steps: For each element in the three-dimensional finite element tire model, determine the first modulus parameter, the second modulus parameter, the first stress-strain data, and the second stress-strain data corresponding to the element; preprocess the first stress-strain data and the second stress-strain data respectively, and determine the first energy loss of the element based on the preprocessed first stress-strain data, and determine the second energy loss of the element based on the preprocessed second stress-strain data, wherein the preprocessing includes: interpolation processing and Fourier transform; determine the deformation index of the element based on the first modulus parameter, the second modulus parameter, the first energy loss, and the second energy loss; and take the set of deformation indices of multiple elements as the deformation index distribution data.

[0072] For example, for each element in the three-dimensional finite element tire model, its corresponding first modulus parameter (initial modulus) and second modulus parameter (perturbed modulus) are first determined. These parameters are set based on the Neo-Hookean model, which is suitable for describing the nonlinear elastic behavior of most rubber materials. Then, the first stress-strain data and the second stress-strain data of each element are extracted from the first and second rounds of steady-state rolling simulation, respectively. These data include the stress and strain values ​​experienced by the element during tire rolling.

[0073] For the first and second stress-strain data, preprocessing can be performed. The preprocessing stage mainly includes interpolation and Fourier transform. Interpolation is used to fill in any missing values ​​in the simulation data to ensure the continuity and integrity of the data. Fourier transform is used to convert the stress-strain data from the time domain to the frequency domain, which facilitates the analysis of its periodic characteristics over time, thereby calculating the energy loss of each unit. Interpolation methods (such as linear interpolation, cubic spline interpolation, etc.) can be used to estimate the stress and strain values ​​at missing time points in the simulation data to ensure data continuity. The interpolated stress-strain data is then subjected to Fourier transform to obtain frequency domain data. This step helps to identify the periodic components of stress and strain, thereby enabling a more accurate calculation of energy loss. The calculation of energy loss is usually based on the strain energy density of the material, that is, the energy absorbed by the material during the stress-strain process. In the frequency domain, energy loss can be obtained by calculating the integral of the square of the amplitude of stress and strain.

[0074] The deformation index of the element is determined based on the first modulus parameter, the second modulus parameter, the first energy loss, and the second energy loss, which can be achieved by the following steps:

[0075] The deformation index of the element is calculated using the following formula:

[0076]

[0077] In the formula, m represents the deformation index, E1 and E2 represent the first and second modulus parameters, respectively, and Q1 and Q2 represent the first and second energy losses, respectively. The deformation index reflects the deformation mode of the tire under a specific modulus and the degree of influence of changes in material modulus on energy loss.

[0078] S4. If the deformation index distribution data does not meet the preset conditions, adjust the first modulus distribution data according to the preset adjustment rules, and use the adjusted first modulus distribution data as the first modulus distribution data for the next cycle.

[0079] As an optional implementation method, the preset conditions include: in the deformation index distribution data, the absolute value of the deformation index of each element in the three-dimensional finite element tire model is less than the preset deformation index threshold.

[0080] As an optional implementation method, adjusting the first modulus distribution data according to preset adjustment rules can be carried out by the following steps:

[0081] For each element in the three-dimensional finite element tire model, the first modulus parameter of the element is adjusted according to the following formula:

[0082] E1 ′ =a -m E1

[0083] In the formula, E1 ′ This represents the first modulus parameter after adjustment, and 'a' represents the preset adjustment coefficient. The selection of the adjustment coefficient (a) needs to be determined according to the actual optimization requirements and convergence speed requirements. Usually, 'a' will be close to 1 to ensure that the modulus parameter is not excessively changed with each adjustment and to avoid oscillations during the optimization process.

[0084] The adjusted first modulus distribution data is applied to the tire model, and the simulation calculation is performed again to obtain new deformation index distribution data. If the new deformation index distribution data still does not meet the preset conditions, the adjustment rules are applied again until the absolute value of the deformation index of all elements is less than the preset threshold.

[0085] S5, if the deformation index distribution data meets the preset conditions, determine the loop termination and output the first modulus distribution data.

[0086] As an optional implementation, the output of the first modulus distribution data can be performed by the following steps: determining the first modulus parameter corresponding to each element in the three-dimensional finite element tire model in the first modulus distribution data; outputting all the first modulus parameters in the form of a cloud map, wherein the first modulus parameters corresponding to different modulus ranges are displayed in different colors in the cloud map. Figure 4 A schematic diagram of the first modulus parameter contour plot is given.

[0087] As an optional implementation, the method further includes: for each component of the tire, calculating the average value of the first modulus parameters of all units corresponding to the component as the target modulus parameter of the component; and outputting the mapping relationship between each component and the corresponding target modulus parameter.

[0088] When the absolute value of the deformation index of all units is less than the preset deformation index threshold, the loop termination condition is met, and the current first modulus distribution data can be determined as the optimization result. The modulus parameter of each unit in the first modulus distribution data is output in the form of a cloud map. Each unit in the cloud map is displayed in a different color according to the magnitude of its modulus parameter, forming an intuitive modulus distribution map. This not only helps designers understand the distribution of the internal modulus of the tire, but also enables them to quickly identify which parts of the material properties need to be adjusted. In addition to the modulus adjustment at the unit level, the target modulus parameter of each tire component (such as tread, cord, sidewall, etc.) can also be calculated, which is the average value of the modulus parameters of all units of the component. The mapping relationship between each component and its corresponding target modulus parameter is output, providing a reference for subsequent component design or material selection.

[0089] In this embodiment, a two-dimensional finite element tire model is constructed using a two-dimensional material distribution map, and then extended to a three-dimensional model. This allows the analysis to be performed in an environment closer to the real tire structure, enhancing the accuracy and reliability of the simulation results. In the loop, the first modulus distribution data is increased by a preset factor to generate the second modulus distribution data. This introduces changes in material properties and simulates the tire behavior under different modulus configurations. By comparing the first and second simulation results, the impact of modulus changes on tire performance can be quantitatively analyzed. The calculation of the deformation index distribution data is based on the comparison between the first and second simulation results. It quantifies the sensitivity of material elements to changes in strain energy amplitude, thereby revealing the deformation mode of each element. When the modulus distribution data does not meet the preset conditions, the first modulus distribution data is automatically adjusted according to the preset adjustment rules. Through iteration, the system gradually approaches the optimal modulus distribution to ensure that the tire performance reaches the optimization target. Once the deformation index distribution data meets the preset conditions, that is, the absolute value of the deformation index of each unit is lower than the given threshold, the loop terminates and the current first modulus distribution data is output as the optimization result. This indicates that the tire material configuration has reached the ideal state, that is, it can maintain a good deformation mode under various stress conditions, minimize energy loss, thereby reducing sliding resistance and improving durability. This solves the technical problem of low tire durability and high rolling resistance caused by unreasonable configuration of tire material modulus in the tire production process.

[0090] Example 2

[0091] According to an embodiment of this application, a device for determining the tire material modulus for implementing the tire material modulus determination method in Embodiment 1 is also provided, such as... Figure 5 As shown, the device for determining the tire material modulus includes at least: a modeling module 51 and a modulus determination module 52, wherein:

[0092] Modeling module 51 is used to obtain a two-dimensional material distribution map of the tire, construct a two-dimensional finite element tire model based on the two-dimensional material distribution map, and construct a three-dimensional finite element tire model based on the two-dimensional finite element tire model.

[0093] The modulus determination module 52 is used to repeatedly execute the following steps: obtain the first modulus distribution data of the current cycle, and increase the first modulus distribution data by a preset multiple to obtain the second modulus distribution data, wherein the first modulus distribution data of the first cycle is the preset initial modulus distribution data; substitute the first modulus distribution data and the second modulus distribution data into the three-dimensional finite element tire model to perform steady-state rolling simulation, and obtain the first simulation result and the second simulation result; determine the tire deformation index distribution data based on the first simulation result and the second simulation result; if the deformation index distribution data does not meet the preset conditions, adjust the first modulus distribution data according to the preset adjustment rules, and use the adjusted first modulus distribution data as the first modulus distribution data for the next cycle; if the deformation index distribution data meets the preset conditions, determine the cycle termination and output the first modulus distribution data.

[0094] The following section explains the functions of each module in the device for determining the tire material modulus, using a specific implementation process as an example.

[0095] Step S102: First, the modeling module obtains a two-dimensional material distribution map of the tire, constructs a two-dimensional finite element tire model based on the two-dimensional material distribution map, and constructs a three-dimensional finite element tire model based on the two-dimensional finite element tire model.

[0096] As an optional implementation, the above process can be carried out in the following steps: constructing a two-dimensional tire model based on a two-dimensional material distribution map; meshing the two-dimensional tire model to obtain multiple elements, defining element types, obtaining element sets corresponding to different tire components, defining the contact surface of the two-dimensional tire model, and defining the material constitutive model and cross-sectional properties corresponding to the two-dimensional tire model to obtain a two-dimensional finite element tire model; performing inflation simulation on the two-dimensional finite element tire model based on a preset inflation pressure and a preset inflation analysis step; rotating the two-dimensional finite element tire model after inflation simulation one revolution around the circumference to obtain a three-dimensional finite element tire model.

[0097] Step S104, the modulus determination module cyclically executes the following steps:

[0098] S1, obtain the first modulus distribution data of the current loop, and increase the first modulus distribution data by a preset multiple to obtain the second modulus distribution data, wherein the first modulus distribution data of the first loop is the preset initial modulus distribution data;

[0099] As an optional implementation, the first modulus distribution data includes: a first modulus parameter configured for each element in the three-dimensional finite element tire model; the second modulus distribution data includes: a second modulus parameter obtained by increasing the first modulus parameter corresponding to each element in the first modulus distribution data by a preset multiple.

[0100] S2, substitute the first modulus distribution data and the second modulus distribution data into the three-dimensional finite element tire model to perform steady-state rolling simulation, and obtain the first simulation result and the second simulation result;

[0101] S3, Determine the tire deformation index distribution data based on the first simulation results and the second simulation results;

[0102] As an optional implementation, the first modulus distribution data and the second modulus distribution data are substituted into the three-dimensional finite element tire model for steady-state rolling simulation to obtain the first simulation result and the second simulation result. This process can be carried out in the following steps: Substitute each first modulus parameter in the first modulus distribution data into the corresponding element in the three-dimensional finite element tire model, and perform steady-state rolling simulation on the three-dimensional finite element tire model based on a preset steady-state rolling analysis step to obtain the first simulation result, wherein the first simulation result includes the first stress and strain data corresponding to each element in the three-dimensional finite element tire model; Substitute each second modulus parameter in the second modulus distribution data into the corresponding element in the three-dimensional finite element tire model, and perform steady-state rolling simulation on the three-dimensional finite element tire model based on a preset steady-state rolling analysis step to obtain the second simulation result, wherein the second simulation result includes the second stress and strain data corresponding to each element in the three-dimensional finite element tire model.

[0103] It should be noted that stress-strain data can include strain energy amplitude or stress and strain values. Depending on the data, different methods can be used to obtain deformation index distribution data.

[0104] As an optional implementation, when the stress-strain data includes strain energy amplitude, the deformation index distribution data of the tire can be determined based on the first simulation result and the second simulation result by taking the following steps: For each element in the three-dimensional finite element tire model, determine the first modulus parameter and the second modulus parameter corresponding to the element, and determine the first strain energy amplitude corresponding to the element from the first simulation result, and determine the second strain energy amplitude corresponding to the element from the second simulation result; determine the deformation index of the element based on the first modulus parameter, the second modulus parameter, the first strain energy amplitude, and the second strain energy amplitude; and take the set of deformation indices of multiple elements as the deformation index distribution data.

[0105] The deformation index of the element is determined based on the first modulus parameter, the second modulus parameter, the first strain energy amplitude, and the second strain energy amplitude, which can be achieved by the following steps:

[0106] The deformation index of the element is calculated using the following formula:

[0107]

[0108] In the formula, m represents the deformation index, E1 and E2 represent the first modulus parameter and the second modulus parameter, respectively, and W1 and W2 represent the first strain energy amplitude and the second strain energy amplitude, respectively.

[0109] As an optional implementation, when the stress-strain data includes stress and strain values, the deformation index distribution data of the tire can be determined based on the first and second simulation results by taking the following steps: For each element in the three-dimensional finite element tire model, determine the first modulus parameter, the second modulus parameter, the first stress-strain data, and the second stress-strain data corresponding to the element; preprocess the first stress-strain data and the second stress-strain data respectively, and determine the first energy loss of the element based on the preprocessed first stress-strain data, and determine the second energy loss of the element based on the preprocessed second stress-strain data, wherein the preprocessing includes: interpolation processing and Fourier transform; determine the deformation index of the element based on the first modulus parameter, the second modulus parameter, the first energy loss, and the second energy loss; and take the set of deformation indices of multiple elements as the deformation index distribution data.

[0110] The deformation index of the element is determined based on the first modulus parameter, the second modulus parameter, the first energy loss, and the second energy loss, which can be achieved by the following steps:

[0111] The deformation index of the element is calculated using the following formula:

[0112]

[0113] In the formula, m represents the deformation index, E1 and E2 represent the first modulus parameter and the second modulus parameter, respectively, and Q1 and Q2 represent the first energy loss and the second energy loss, respectively.

[0114] S4. If the deformation index distribution data does not meet the preset conditions, adjust the first modulus distribution data according to the preset adjustment rules, and use the adjusted first modulus distribution data as the first modulus distribution data for the next cycle.

[0115] The preset conditions include: in the deformation index distribution data, the absolute value of the deformation index of each element in the three-dimensional finite element tire model is less than the preset deformation index threshold.

[0116] As an optional implementation method, adjusting the first modulus distribution data according to preset adjustment rules can be performed by the following steps:

[0117] For each element in the three-dimensional finite element tire model, the first modulus parameter of the element is adjusted according to the following formula:

[0118] E1 ′ =a -m E1

[0119] In the formula, E1 ′ This represents the adjusted first modulus parameter, and 'a' represents the preset adjustment coefficient.

[0120] S5, if the deformation index distribution data meets the preset conditions, determine the loop termination and output the first modulus distribution data.

[0121] As an optional implementation, the output of the first modulus distribution data can be performed by the following steps: determining the first modulus parameter corresponding to each element in the three-dimensional finite element tire model in the first modulus distribution data; outputting all the first modulus parameters in the form of a cloud map, wherein the first modulus parameters corresponding to different modulus ranges are displayed in different colors in the cloud map.

[0122] As an optional implementation, the method further includes: for each component of the tire, calculating the average value of the first modulus parameters of all units corresponding to the component as the target modulus parameter of the component; and outputting the mapping relationship between each component and the corresponding target modulus parameter.

[0123] It should be noted that each module in the tire material modulus determination device in this application embodiment corresponds one-to-one with each implementation step of the tire material modulus determination method in Embodiment 1. Since Embodiment 1 has been described in detail, some details not shown in this embodiment can be referred to Embodiment 1, and will not be elaborated further here.

[0124] Example 3

[0125] According to an embodiment of this application, a computer program product is also provided, which includes a computer program, wherein when the computer program is executed by a processor, it implements the method for determining the tire material modulus in Embodiment 1.

[0126] According to an embodiment of this application, a non-volatile storage medium is also provided, which includes a stored computer program, wherein the device containing the non-volatile storage medium executes the method for determining the tire material modulus in Embodiment 1 by running the computer program.

[0127] According to an embodiment of this application, a processor is also provided for running a computer program, wherein the computer program executes the method for determining the tire material modulus in Embodiment 1.

[0128] According to an embodiment of this application, an electronic device is also provided, comprising: a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the method for determining the tire material modulus in Embodiment 1 through the computer program.

[0129] Specifically, the computer program executes the following steps during runtime: acquiring a two-dimensional material distribution map of the tire; constructing a two-dimensional finite element tire model based on the two-dimensional material distribution map; and constructing a three-dimensional finite element tire model based on the two-dimensional finite element tire model. The program then iteratively executes the following steps: acquiring the first modulus distribution data for the current cycle and increasing the first modulus distribution data by a preset factor to obtain second modulus distribution data, where the first modulus distribution data for the first cycle is the preset initial modulus distribution data; substituting the first modulus distribution data and the second modulus distribution data into the three-dimensional finite element tire model for steady-state rolling simulation, respectively, to obtain first simulation results and second simulation results; determining the tire's deformation index distribution data based on the first simulation results and second simulation results; adjusting the first modulus distribution data according to preset adjustment rules if the deformation index distribution data does not meet preset conditions, and using the adjusted first modulus distribution data as the first modulus distribution data for the next cycle; and terminating the cycle and outputting the first modulus distribution data if the deformation index distribution data meets preset conditions.

[0130] As an alternative implementation, the above-mentioned electronic device may exist in the form of a mobile terminal, a computer terminal, or a similar computing device. Figure 6 A hardware block diagram of an electronic device for determining the modulus of tire materials is shown. Figure 6 As shown, the electronic device 60 may include one or more processors 602 (shown as 602a, 602b, ..., 602n in the figure) (processor 602 may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 604 for storing data, and a transmission device 606 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of a BUS bus), a network interface, a power supply, and / or a camera. Those skilled in the art will understand that... Figure 6 The structure shown is for illustrative purposes only and does not limit the structure of the aforementioned electronic device. For example, electronic device 60 may also include components that are more... Figure 6 The more or fewer components shown, or having the same Figure 6 The different configurations shown.

[0131] It should be noted that the aforementioned one or more processors 602 and / or other data processing circuits are generally referred to herein as "data processing circuits". These data processing circuits may be embodied, in whole or in part, in software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuits may be a single, independent processing module, or may be integrated, in whole or in part, into any other element of the electronic device 60. As involved in the embodiments of this application, the data processing circuits serve as a processor control mechanism (e.g., selection of a variable resistor termination path connected to an interface).

[0132] The memory 604 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the method for determining the tire material modulus in this embodiment. The processor 602 executes various functional applications and data processing by running the software programs and modules stored in the memory 604, thereby implementing the aforementioned application vulnerability detection method. The memory 604 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 604 may further include memory remotely located relative to the processor 602, and these remote memories can be connected to the electronic device 60 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0133] The transmission device 606 is used to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by the communication provider of the electronic device 60. In one example, the transmission device 606 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 606 may be a Radio Frequency (RF) module for wireless communication with the Internet.

[0134] The display may be, for example, a touchscreen liquid crystal display (LCD) that allows a user to interact with the user interface of the electronic device 60.

[0135] The sequence numbers of the above embodiments are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0136] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0137] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between units or modules may be electrical or other forms.

[0138] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0139] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0140] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0141] The above are merely preferred embodiments of this application. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for determining the modulus of a tire material, characterized in that, include: A two-dimensional material distribution map of the tire is obtained, a two-dimensional finite element tire model is constructed based on the two-dimensional material distribution map, and a three-dimensional finite element tire model is constructed based on the two-dimensional finite element tire model. Repeat the following steps: Obtain the first modulus distribution data of the current loop, and increase the first modulus distribution data by a preset multiple to obtain the second modulus distribution data, wherein the first modulus distribution data of the first loop is the preset initial modulus distribution data; Substitute the first modulus distribution data and the second modulus distribution data into the three-dimensional finite element tire model to perform steady-state rolling simulation, and obtain the first simulation result and the second simulation result; The tire deformation index distribution data are determined based on the first simulation results and the second simulation results; If the deformation index distribution data does not meet the preset conditions, the first modulus distribution data is adjusted according to the preset adjustment rules, and the adjusted first modulus distribution data is used as the first modulus distribution data for the next cycle. If the deformation index distribution data meets the preset conditions, the loop is terminated and the first modulus distribution data is output.

2. The method according to claim 1, characterized in that, A two-dimensional finite element tire model is constructed based on the aforementioned two-dimensional material distribution map, and a three-dimensional finite element tire model is constructed based on the aforementioned two-dimensional finite element tire model, including: A two-dimensional tire model is constructed based on the aforementioned two-dimensional material distribution map; The two-dimensional tire model is meshed to obtain multiple elements. The element type is defined to obtain the element set corresponding to different tire components. The contact surface of the two-dimensional tire model is defined, and the material constitutive model and section properties corresponding to the two-dimensional tire model are defined to obtain the two-dimensional finite element tire model. The inflation simulation of the two-dimensional finite element tire model is performed based on the preset inflation pressure and preset inflation analysis steps. The three-dimensional finite element tire model is obtained by rotating the two-dimensional finite element tire model after inflation simulation around the circumference.

3. The method according to claim 1, characterized in that, The first modulus distribution data includes: a first modulus parameter configured for each element in the three-dimensional finite element tire model; The second modulus distribution data includes: a second modulus parameter obtained by increasing the first modulus parameter corresponding to each unit in the first modulus distribution data by a preset multiple.

4. The method according to claim 3, characterized in that, Substituting the first modulus distribution data and the second modulus distribution data into the three-dimensional finite element tire model respectively, steady-state rolling simulations were performed to obtain first simulation results and second simulation results, including: Substitute each of the first modulus parameters in the first modulus distribution data into the corresponding unit in the three-dimensional finite element tire model, and perform steady-state rolling simulation on the three-dimensional finite element tire model based on a preset steady-state rolling analysis step to obtain the first simulation result, wherein the first simulation result includes the first stress and strain data corresponding to each unit in the three-dimensional finite element tire model. Substitute each of the second modulus parameters in the second modulus distribution data into the corresponding element in the three-dimensional finite element tire model, and perform steady-state rolling simulation on the three-dimensional finite element tire model based on a preset steady-state rolling analysis step to obtain the second simulation result, wherein the second simulation result includes the second stress-strain data corresponding to each element in the three-dimensional finite element tire model.

5. The method according to claim 4, characterized in that, The stress-strain data includes strain energy amplitude. Based on the first simulation results and the second simulation results, the tire deformation index distribution data is determined, including: For each element in the three-dimensional finite element tire model, determine the first modulus parameter and the second modulus parameter corresponding to the element, and determine the first strain energy amplitude corresponding to the element from the first simulation result, and determine the second strain energy amplitude corresponding to the element from the second simulation result; The deformation index of the element is determined based on the first modulus parameter, the second modulus parameter, the first strain energy amplitude, and the second strain energy amplitude. The set of deformation indices of multiple units is used as the deformation index distribution data.

6. The method according to claim 5, characterized in that, Determining the deformation index of the element based on the first modulus parameter, the second modulus parameter, the first strain energy amplitude, and the second strain energy amplitude includes: The deformation index of the element is calculated according to the following formula: In the formula, m represents the deformation index, E1 and E2 represent the first modulus parameter and the second modulus parameter, respectively, and W1 and W2 represent the first strain energy amplitude and the second strain energy amplitude, respectively.

7. The method according to claim 4, characterized in that, The stress-strain data includes stress and strain values. Based on the first and second simulation results, the tire deformation index distribution data is determined, including: For each element in the three-dimensional finite element tire model, determine the first modulus parameter, the second modulus parameter, the first stress-strain data, and the second stress-strain data corresponding to the element; The first stress-strain data and the second stress-strain data are preprocessed respectively, and the first energy loss of the unit is determined based on the preprocessed first stress-strain data, and the second energy loss of the unit is determined based on the preprocessed second stress-strain data. The preprocessing includes: interpolation processing and Fourier transform. The deformation index of the unit is determined based on the first modulus parameter, the second modulus parameter, the first energy loss, and the second energy loss; The set of deformation indices of multiple units is used as the deformation index distribution data.

8. The method according to claim 7, characterized in that, Determining the deformation index of the unit based on the first modulus parameter, the second modulus parameter, the first energy loss, and the second energy loss includes: The deformation index of the element is calculated according to the following formula: In the formula, m represents the deformation index, E1 and E2 represent the first modulus parameter and the second modulus parameter, respectively, and Q1 and Q2 represent the first energy loss and the second energy loss, respectively.

9. The method according to claim 1, characterized in that, The preset conditions include: in the deformation index distribution data, the absolute value of the deformation index of each element in the three-dimensional finite element tire model is less than the preset deformation index threshold.

10. The method according to claim 6 or claim 8, characterized in that, Adjusting the first modulus distribution data according to preset adjustment rules includes: For each element in the three-dimensional finite element tire model, the first modulus parameter of the element is adjusted according to the following formula: E1 ′ =a -m E1 In the formula, E1 ′ This represents the adjusted first modulus parameter, and 'a' represents the preset adjustment coefficient.

11. The method according to claim 2, characterized in that, Output the first modulus distribution data, including: Determine the first modulus parameter in the first modulus distribution data corresponding to each element in the three-dimensional finite element tire model; All the first modulus parameters are output in the form of a cloud map, wherein the first modulus parameters corresponding to different modulus ranges are displayed in different colors in the cloud map.

12. The method according to claim 11, characterized in that, The method further includes: For each component of the tire, the average value of the first modulus parameters of all units corresponding to the component is calculated as the target modulus parameter of the component; Output the mapping relationship between each component and its corresponding target modulus parameter.

13. A device for determining the modulus of tire material, characterized in that, include: The modeling module is used to obtain a two-dimensional material distribution map of the tire, construct a two-dimensional finite element tire model based on the two-dimensional material distribution map, and construct a three-dimensional finite element tire model based on the two-dimensional finite element tire model. The modulus determination module is used to repeatedly execute the following steps: acquire the first modulus distribution data of the current cycle, and increase the first modulus distribution data by a preset multiple to obtain the second modulus distribution data, wherein the first modulus distribution data of the first cycle is the preset initial modulus distribution data; substitute the first modulus distribution data and the second modulus distribution data into the three-dimensional finite element tire model to perform steady-state rolling simulation, and obtain the first simulation result and the second simulation result; determine the tire deformation index distribution data based on the first simulation result and the second simulation result; if the deformation index distribution data does not meet the preset conditions, adjust the first modulus distribution data according to the preset adjustment rules, and use the adjusted first modulus distribution data as the first modulus distribution data for the next cycle; if the deformation index distribution data meets the preset conditions, determine the cycle termination, and output the first modulus distribution data.

14. A computer program product, characterized in that, include: A computer program, wherein when executed by a processor, the computer program implements the method for determining the tire material modulus as described in any one of claims 1 to 12.

15. An electronic device, characterized in that, include: A memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute, via the computer program, the method for determining the tire material modulus according to any one of claims 1 to 12.

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