Method and device for determining wear life mileage of tire

Abstract

The invention discloses a method and a device for determining the wear life mileage of a tire. The method comprises the steps that working condition data of multiple tires under a target operation working condition are obtained, the multiple tires comprise at least one first tire with the abrasion life mileage to be determined and a second tire with the known abrasion life mileage, and the wheel positions of the first tire and the second tire are the same; determining an abrasion index of the corresponding tire according to the working condition data of each tire; for each first tire, a first wear range for the first tire is determined as a function of a first wear index for the first tire, a second wear index for the second tire, and the second wear range. The method solves the technical problems that the prediction of the tire wear life mileage in the tire design period is inaccurate, time-consuming and labor-consuming.

Description

Technical Field

[0001] The present application relates to the technical field of tire design and manufacturing, and in particular to a method and device for determining tire wear life mileage. Background Art

[0002] Tires, as critical components carrying the weight of modern transportation, have a direct impact on vehicle efficiency and safety. Wear performance, in particular, plays a central role in tire lifecycle management. It not only impacts the user experience but also serves as a crucial criterion for tire quality and economic efficiency. However, accurately predicting tire wear life has long been a challenging task, and the lack of efficient and accurate prediction methods has become a pressing challenge within the industry. Currently, the road test method widely used to assess tire wear characteristics, while intuitive and reliable, is cumbersome to implement. This method requires extensive field testing of tires in real-world environments, followed by a linear extrapolation technique to estimate the tire's lifespan. However, this reliance on physical testing is extremely labor-intensive, requiring significant human resources and high testing costs. Furthermore, the lengthy testing cycle severely constrains the pace of tire product iteration and technological innovation. Faced with this situation, the tire industry and the transportation sector as a whole urgently need to develop a new wear life prediction solution that not only ensures accurate predictions but also significantly reduces cost and time.

[0003] To address the above-mentioned problems, no effective solutions have been proposed so far. Summary of the Invention

[0004] The embodiments of the present application provide a method and device for determining tire wear life mileage, so as to at least solve the technical problem that the prediction of tire wear life mileage during the tire design period is inaccurate and time-consuming.

[0005] According to one aspect of an embodiment of the present application, a method for determining the wear life mileage of a tire is provided, comprising: obtaining operating condition data of a plurality of tires under target operating conditions, wherein the plurality of tires include: at least one first tire whose wear life mileage is to be determined and a second tire whose wear life mileage is known, the first tire and the second tire having the same wheel position; determining the wear index of the corresponding tire based on the operating condition data of each tire; and for each first tire, determining the first wear life mileage of the first tire based on the first wear index of the first tire, the second wear index of the second tire, and the second wear life mileage.

[0006] Optionally, operating condition data of multiple tires under target operating conditions are obtained, including: for each tire, obtaining material structure data of the tire, wherein the material structure data includes at least: a material distribution diagram and tread rubber parameters, and the tread rubber parameters include at least: tread block stiffness, tread rubber hardness, and tread groove depth; obtaining driving data corresponding to the target operating condition, wherein the driving data includes at least: vehicle horsepower and tire load; obtaining performance data of the tire under the target operating condition, wherein the performance data includes at least: footprint area and tread rubber wear parameters, and the performance data of the second tire also includes: second wear life mileage; and using the material structure data, driving data, and performance data as operating condition data.

[0007] Optionally, the method for obtaining the footprint area includes: constructing a two-dimensional cross-sectional model of the tire according to the material distribution map of the tire; rotating the two-dimensional cross-sectional model once to obtain a three-dimensional tire model of the tire;

[0008] The three-dimensional tire model is inflated and pressed down according to the tire load to obtain the tire footprint area.

[0009] Optionally, the method for obtaining the tread rubber wear parameters includes: inputting the tread rubber parameters and preset simulation operating state parameters into a tire friction simulation model to perform a friction simulation test, wherein the tire friction simulation model includes a first tread rubber sample and a roller in contact with the first tread rubber sample; determining the friction energy generated by the contact between the first tread rubber sample and the roller based on the simulation results; performing a rolling wear test on the second tread rubber sample, wherein the second tread rubber sample has the same shape and size as the first tread rubber sample, and the test operating state parameters of the rolling wear test are the same as the simulation operating state parameters; determining the wear volume of the second tread rubber sample based on the test results; and determining the tread rubber wear parameters of the tire based on the friction energy, wear volume and tread rubber hardness.

[0010] Optionally, the first tire and the second tire are driving wheels, and the wear index of the corresponding tire is determined according to the working condition data of each tire, including: for each tire, calculating the tire wear index using the following formula: Where PTW is the tire wear index, S is the footprint area, E is the tread block stiffness, K is the tread rubber wear parameter, h is the groove depth, H is the tread rubber hardness, C is the vehicle horsepower, and m is the tire load.

[0011] Optionally, the first tire and the second tire are guide wheels, and the wear index of the corresponding tire is determined according to the working condition data of each tire, including: for each tire, calculating the tire wear index using the following formula: Where PTW is the tire wear index, S is the footprint area, E is the tread block stiffness, K is the tread rubber wear parameter, h is the groove depth, and H is the tread rubber hardness.

[0012] Optionally, the first tire and the second tire are trailer wheels, and the wear index of the corresponding tire is determined according to the working condition data of each tire, including: for each tire, calculating the tire wear index using the following formula: Where PTW is the tire wear index, S is the footprint area, E is the tread block stiffness, K is the tread rubber wear parameter, h is the groove depth, H is the tread rubber hardness, and m is the tire load.

[0013] Optionally, determining the first wear life mileage of the first tire according to the first wear index of the first tire, the second wear index of the second tire, and the second wear life mileage includes: calculating the first wear life mileage of the first tire using the following formula: Wherein, A1 represents the first wear life mileage of the first tire, PTW1 represents the first wear index of the first tire, PTW2 represents the second wear index of the second tire, and A2 represents the second wear life mileage of the second tire.

[0014] According to another aspect of an embodiment of the present application, a device for determining the wear life mileage of a tire is also provided, including: an acquisition module for acquiring operating condition data of multiple tires under target operating conditions, wherein the multiple tires include: at least one first tire whose wear life mileage is to be determined and a second tire whose wear life mileage is known, and the first tire and the second tire have the same wheel position; a first determination module for determining the wear index of the corresponding tire based on the operating condition data of each tire; and a second determination module for determining the first wear life mileage of the first tire for each first tire based on the first wear index of the first tire, the second wear index of the second tire, and the second wear life mileage.

[0015] According to another aspect of an embodiment of the present application, a computer program product is further provided, the computer program product comprising: a computer program, wherein when the computer program is executed by a processor, the above-mentioned method for determining the tire wear life mileage is implemented.

[0016] According to another aspect of an embodiment of the present application, an electronic device is also provided, which includes: a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to execute the above-mentioned method for determining the tire wear life mileage through the computer program.

[0017] In an embodiment of the present application, by obtaining data of multiple tires under the same target operating conditions, this technology can more accurately simulate and reflect the tire wear conditions in the actual use environment, determine the wear index based on the tire operating data, and convert the tire's wear capacity into a quantifiable indicator. This method enables the evaluation of tire wear life to move from qualitative to quantitative, providing specific data support for tire performance optimization and design. By comparing the wear index of the first tire and the second tire, combined with the actual wear life mileage of the second tire, this method uses known data as a benchmark and calculates the life of the unknown tire by relative proportion, effectively improving the accuracy of the prediction results. This method can predict the wear life of the tire in the early stage of tire design, so that the designer can adjust the design parameters in time based on the prediction results, avoiding the high modification costs caused by design defects in the later stage. At the same time, it reduces the dependence on road tests, saves time and resources, and thus solves the technical problem of inaccurate and time-consuming prediction of tire wear life mileage during the tire design period. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0019] Figure 1 is a flow chart of an optional method for determining tire wear life mileage according to an embodiment of the present application;

[0020] Figure 2 1 is a schematic structural diagram of an optional device for determining tire wear life mileage according to an embodiment of the present application;

[0021] Figure 3 It is a schematic structural diagram of an optional electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0023] It should be noted that the terms "first", "second", etc. in the specification, claims, and drawings of the present application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0024] Example 1

[0025] According to an embodiment of the present application, a method for determining the mileage of tire wear life is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0026] Figure 1 FIG. 1 is a flow chart of a method for determining tire wear life mileage according to an embodiment of the present application, such as Figure 1 As shown, the method includes the following steps:

[0027] Step S102, obtaining operating condition data of a plurality of tires under target operating conditions, wherein the plurality of tires include: at least one first tire whose wear life mileage is to be determined and a second tire whose wear life mileage is known, the first tire and the second tire having the same wheel position;

[0028] Step S104, determining the wear index of the corresponding tire based on the working condition data of each tire;

[0029] Step S106 : for each first tire, determining the first wear life mileage of the first tire according to the first wear index of the first tire, the second wear index of the second tire, and the second wear life mileage.

[0030] The following describes the various steps of the method for determining tire wear life mileage in conjunction with a specific implementation process.

[0031] First, operating condition data of multiple tires under target operating conditions are obtained, wherein the multiple tires include: at least one first tire whose wear life mileage is to be determined and a second tire whose wear life mileage is known, and the first tire and the second tire have the same wheel position.

[0032] As an optional implementation, the operating condition data of multiple tires under the target operating condition can be obtained by taking the following steps: for each tire, obtaining the material structure data of the tire, wherein the material structure data at least includes: a material distribution diagram and tread rubber parameters, and the tread rubber parameters at least include: tread block stiffness, tread rubber hardness, and tread groove depth; obtaining driving data corresponding to the target operating condition, wherein the driving data at least includes: vehicle horsepower and tire load; obtaining performance data of the tire under the target operating condition, wherein the performance data at least includes: footprint area and tread rubber wear parameters, and the performance data of the second tire also includes: second wear life mileage; and using the material structure data, driving data, and performance data as operating condition data.

[0033] It should be noted that, in this embodiment, the following assumptions are made: it is assumed that the tire wear is uniform and uneven wear is not considered; it is assumed that the working conditions of the tires are consistent within the same route and that the wear of the tires on the same route is indifferent; the tires are classified according to wheel position, and are divided into guide wheels, drive wheels, and trailer wheels; it is assumed that the design rules of tires in the same wheel position are unified.

[0034] For example, for the stiffness of the tread block, finite element analysis software can be used to establish a three-dimensional finite element model of the tire based on the tire's material distribution map and known material performance parameters. Corresponding boundary conditions and loads are applied to the model to simulate the stress conditions of the tire during actual use. The stress and strain distribution of the tread block is obtained by calculation, and the stiffness of the tread block is then solved. The simulation calculation can consider the influence of multiple factors on the stiffness of the tread block, such as the elastic modulus and Poisson's ratio of different materials, and can more comprehensively reflect the actual stiffness characteristics of the tread block.

[0035] For the tread rubber hardness, you can use a portable hardness tester, such as a Shore durometer, to measure the hardness directly on the tread of the tire, or remove an appropriate amount of tread rubber sample from the tire and use a standard hardness tester in the laboratory for accurate measurement according to the standard hardness test method.

[0036] The depth of the tire grooves can be measured directly using tools such as a depth gauge or caliper, or using automatic tire groove depth measurement equipment such as a laser depth meter or optical profilometer. These devices scan the surface of the tire grooves by emitting laser beams or optical signals to obtain depth information.

[0037] For vehicle horsepower, you can refer to the nameplate information of the vehicle using the tire. The vehicle nameplate usually indicates the engine's rated power and other parameters, which can be converted to the vehicle's horsepower. For tire load, the load on each tire can be calculated based on the vehicle's load and the distribution of the tires.

[0038] Among them, as an optional implementation method, the following steps can be taken to obtain the footprint area: construct a two-dimensional cross-sectional model of the tire based on the material distribution diagram of the tire; rotate the two-dimensional cross-sectional model one circle to obtain a three-dimensional tire model of the tire; and simulate the inflation and downward pressure of the three-dimensional tire model based on the tire load to obtain the tire footprint area.

[0039] For example, a three-dimensional finite element model of the tire is established using the material distribution map of the tire and known parameters such as the tire load. The corresponding loads and boundary conditions are applied to the model to simulate the force conditions of the tire during actual driving. The footprint area where the tire contacts the ground is obtained by calculation. Then, the area of ​​the footprint area is calculated using the post-processing function of the finite element software, which is the tire's footprint area. The simulation calculation can take into account the influence of multiple factors on the footprint area, such as the tire's material properties, structural design, driving speed, etc., and can more comprehensively reflect the actual footprint area characteristics of the tire.

[0040] Among them, as an optional implementation method, the method of obtaining tread rubber wear parameters includes: inputting tread rubber parameters and preset simulation operating state parameters into a tire friction simulation model to perform a friction simulation test, wherein the tire friction simulation model includes a first tread rubber sample and a roller in contact with the first tread rubber sample; determining the friction energy generated by the contact between the first tread rubber sample and the roller based on the simulation results; performing a rolling wear test on the second tread rubber sample, wherein the second tread rubber sample has the same shape and size as the first tread rubber sample, and the test operating state parameters of the rolling wear test are the same as the simulation operating state parameters; determining the wear volume of the second tread rubber sample based on the test results; and determining the tread rubber wear parameters of the tire based on the friction energy, wear volume and tread rubber hardness.

[0041] For example, the tread rubber material parameters and the preset simulation operation state parameters are input into the tire material friction simulation model. The tread rubber material parameters include but are not limited to hardness, shear modulus, elastic modulus, Poisson's ratio, dynamic friction coefficient, maximum static friction coefficient, etc. These parameters can fully reflect the physical and mechanical properties of the tread rubber material. The preset simulation operation state parameters include the operating environment (such as temperature, humidity, etc.), the positive pressure per unit area applied to the tread rubber material sample, the rolling speed between the tread rubber material sample and the contact plane, the total contact time, etc. These parameters are used to simulate the working conditions of the tire during actual use. The tire material friction simulation model includes a first tread rubber material sample and a roller in contact with it. By inputting the above parameters into the model, the friction behavior of the tread rubber material under specific working conditions can be simulated.

[0042] Run the tire material friction simulation model and conduct a friction simulation test. During the simulation process, the model simulates the contact, rolling, and friction between the first tire material sample and the roller. Based on the simulation results, determine the friction energy generated by the contact between the first tire material sample and the roller. The specific calculation process is as follows:

[0043] First, the sliding distance (d slip ), contact time (Δt), and then calculate the slip velocity (v slip ):

[0044]

[0045] Secondly, calculate the comprehensive friction coefficient μ, given the dynamic friction coefficient (μ k ), maximum static friction coefficient (μ s ) and the preset attenuation coefficient (β):

[0046]

[0047] Finally, calculate the friction energy (E) generated by the contact between the first tread rubber sample and the roller, given the number of contacts (n), the normal pressure applied to the first tread rubber sample (F ⊥ ), the friction energy is:

[0048] E=n·μ·F ⊥ ·d slip

[0049] Prepare a second tread rubber material sample having the same shape and size as the first tread rubber material sample.

[0050] A rolling wear test was conducted on the second tread rubber sample. The operating state parameters of the test were the same as those of the simulation to ensure the consistency of the test conditions.

[0051] After the test is completed, the wear volume (ΔV) of the second tread rubber sample is determined based on the test results. The specific method is: measure the mass of the second tread rubber sample before and after the rolling wear test (W1 and W2). Knowing the density of the tread rubber material (ρ), the wear volume is:

[0052]

[0053] The tire tread wear parameter (K) is determined based on the friction energy (E) generated by the contact between the first tread rubber sample and the roller, the wear volume (ΔV) of the second tread rubber sample, and the tread rubber hardness (H):

[0054]

[0055] The tread wear parameters comprehensively reflect the wear resistance of the tread rubber under specific working conditions and are one of the important indicators for evaluating the tire wear life.

[0056] After obtaining the operating data, the wear index of each tire is determined based on the operating data. The wear index is a quantitative indicator based on the tire's design characteristics and operating conditions. It reflects the degree of tire wear under specific conditions.

[0057] As an optional implementation, if the first tire and the second tire are driving wheels, the wear index of the corresponding tire is determined based on the working condition data of each tire by taking the following steps:

[0058] For each tire, calculate the tire wear index using the following formula:

[0059]

[0060] Where PTW is the tire wear index, S is the footprint area, E is the tread block stiffness, K is the tread rubber wear parameter, h is the groove depth, H is the tread rubber hardness, C is the vehicle horsepower, and m is the tire load.

[0061] When a tire is used as a driving wheel, in addition to the tire's own characteristics and road contact conditions, the vehicle's power output (horsepower C) and tire load (m) must also be considered. S represents the footprint of the tire's contact area with the ground, which is a direct reflection of the tire's load-bearing capacity and road friction. E represents the stiffness of the tread block, which affects the tire's deformation and energy consumption during rolling, and thus affects the wear rate. K represents the wear parameter of the tread rubber, which combines the material's wear resistance and other physical and chemical properties and is directly related to the degree of wear. h represents the depth of the tread groove, which is the depth of the tread groove. The shape and depth of the tire affect the tire's grip and self-cleaning ability, thereby indirectly affecting the wear process. H represents the hardness of the tread compound. Generally speaking, tread compounds with higher hardness are theoretically more difficult to wear. However, excessive hardness may also cause the contact between the tire and the road to be more rigid. In this "rigid" contact, the tire may wear faster in some cases. C represents the vehicle's horsepower. The greater the horsepower, the higher the power output. The greater the pressure on the tire during acceleration and braking, which affects its wear. m represents the tire load, that is, the weight carried by the tire. The greater the tire load, the faster it wears.

[0062] As an optional implementation, if the first tire and the second tire are guide wheels, the wear index of the corresponding tire is determined based on the working condition data of each tire by taking the following steps:

[0063] For each tire, calculate the tire wear index using the following formula:

[0064]

[0065] Where PTW is the tire wear index, S is the footprint area, E is the tread block stiffness, K is the tread rubber wear parameter, h is the groove depth, and H is the tread rubber hardness.

[0066] This formula omits the influence of vehicle horsepower (C) because the guide wheel plays a relatively small role in power transmission, but considerations such as contact area, pattern stiffness, tread material and its hardness, and groove depth are still important.

[0067] As an optional implementation, if the first tire and the second tire are located on trailer wheels, the wear index of the corresponding tire may be determined based on the operating condition data of each tire by taking the following steps:

[0068] For each tire, calculate the tire wear index using the following formula:

[0069]

[0070] Where PTW is the tire wear index, S is the footprint area, E is the tread block stiffness, K is the tread rubber wear parameter, h is the groove depth, H is the tread rubber hardness, and m is the tire load.

[0071] Trailer wheels (the rear wheels of the towing vehicle) have fewer demands on power transmission and steering functions, but load distribution and road contact conditions still have a significant impact on their wear. Here, the influence of horsepower (C) is eliminated and the effect of load (m) on wear rate is emphasized.

[0072] After obtaining the wear index, for each first tire, the first wear life mileage of the first tire is determined based on the first wear index of the first tire, the second wear index of the second tire, and the second wear life mileage. The wear life mileage here refers to the total mileage traveled when the tire tread wears to a predetermined safety limit. This is an important indicator for measuring tire durability. This process can be carried out in the following steps:

[0073] The first wear life mileage of the first tire is calculated using the following formula:

[0074]

[0075] In the formula, A1 represents the first wear life mileage of the first tire, PTW1 represents the first wear index of the first tire, PTW2 represents the second wear index of the second tire, and A2 represents the second wear life mileage of the second tire. The second wear life mileage is obtained through actual road testing or other verification methods and is a known benchmark data.

[0076] The above process uses known tire wear performance data to predict the wear life mileage of a newly designed tire. For example, if the wear life mileage of the second tire (LS1 tire) on the drive wheel position of a six-axle truck is 350,000 kilometers and its wear index (PTW2) is 1.00, and the wear index (PTW1) of the newly designed first tire (LS2 tire) is 1.15 after simulation calculation, then according to the above formula, the wear life mileage of the LS2 tire under the same conditions can be calculated as:

[0077]

[0078] This means that compared to the LS1 tire, the LS2 tire has a longer wear life mileage under the same conditions. In this way, without actual road testing, a preliminary but fairly accurate assessment of the performance of new tires can be made based on theoretical models and limited data, significantly reducing R&D costs and time, and accelerating the time to market. The advantage of this prediction method is that it can quickly identify potential high-performance tire designs, avoiding expensive and time-consuming field testing of a large number of prototypes in the early stages of R&D, while ensuring the scientific and reliable design.

[0079] In an embodiment of the present application, by obtaining data of multiple tires under the same target operating conditions, this technology can more accurately simulate and reflect the tire wear conditions in the actual use environment, determine the wear index based on the tire operating data, and convert the tire's wear capacity into a quantifiable indicator. This method enables the evaluation of tire wear life to move from qualitative to quantitative, providing specific data support for tire performance optimization and design. By comparing the wear index of the first tire and the second tire, combined with the actual wear life mileage of the second tire, this method uses known data as a benchmark and calculates the life of the unknown tire by relative proportion, effectively improving the accuracy of the prediction results. This method can predict the wear life of the tire in the early stage of tire design, so that the designer can adjust the design parameters in time based on the prediction results, avoiding the high modification costs caused by design defects in the later stage. At the same time, it reduces the dependence on road tests, saves time and resources, and thus solves the technical problem of inaccurate and time-consuming prediction of tire wear life mileage during the tire design period.

[0080] Example 2

[0081] According to an embodiment of the present application, a device for determining the tire wear life mileage is provided for implementing the method for determining the tire wear life mileage in embodiment 1, such as Figure 2 As shown, the device for determining the tire wear life mileage includes at least: an acquisition module 21, a first determination module 22 and a second determination module 23, wherein:

[0082] an acquisition module 21 for acquiring operating condition data of a plurality of tires under target operating conditions, wherein the plurality of tires include: at least one first tire whose wear life mileage is to be determined and a second tire whose wear life mileage is known, the first tire and the second tire having the same wheel position;

[0083] A first determination module 22 is configured to determine a wear index of a corresponding tire based on the operating condition data of each tire;

[0084] The second determining module 23 is configured to determine, for each first tire, a first wear life mileage of the first tire according to the first wear index of the first tire, the second wear index of the second tire, and the second wear life mileage.

[0085] The functions of each module of the device for determining tire wear life mileage are described below in conjunction with a specific implementation process.

[0086] First, an acquisition module acquires operating condition data of multiple tires under target operating conditions, wherein the multiple tires include: at least one first tire whose wear life mileage is to be determined and a second tire whose wear life mileage is known, and the first tire and the second tire have the same wheel position.

[0087] As an optional implementation, the operating condition data of multiple tires under the target operating condition can be obtained by taking the following steps: for each tire, obtaining the material structure data of the tire, wherein the material structure data at least includes: a material distribution diagram and tread rubber parameters, and the tread rubber parameters at least include: tread block stiffness, tread rubber hardness, and tread groove depth; obtaining driving data corresponding to the target operating condition, wherein the driving data at least includes: vehicle horsepower and tire load; obtaining performance data of the tire under the target operating condition, wherein the performance data at least includes: footprint area and tread rubber wear parameters, and the performance data of the second tire also includes: second wear life mileage; and using the material structure data, driving data, and performance data as operating condition data.

[0088] Among them, as an optional implementation method, the method for obtaining the footprint area includes: constructing a two-dimensional cross-sectional model of the tire based on the material distribution diagram of the tire; rotating the two-dimensional cross-sectional model one circle to obtain a three-dimensional tire model of the tire; and simulating the inflation and downward pressure of the three-dimensional tire model based on the tire load to obtain the tire footprint area.

[0089] Among them, as an optional implementation method, the method of obtaining tread rubber wear parameters includes: inputting tread rubber parameters and preset simulation operating state parameters into a tire friction simulation model to perform a friction simulation test, wherein the tire friction simulation model includes a first tread rubber sample and a roller in contact with the first tread rubber sample; determining the friction energy generated by the contact between the first tread rubber sample and the roller based on the simulation results; performing a rolling wear test on the second tread rubber sample, wherein the second tread rubber sample has the same shape and size as the first tread rubber sample, and the test operating state parameters of the rolling wear test are the same as the simulation operating state parameters; determining the wear volume of the second tread rubber sample based on the test results; and determining the tread rubber wear parameters of the tire based on the friction energy, wear volume and tread rubber hardness.

[0090] After obtaining the operating condition data, the first determination module determines the wear index of the corresponding tire according to the operating condition data of each tire.

[0091] As an optional implementation, if the first tire and the second tire are driving wheels, the wear index of the corresponding tire is determined based on the working condition data of each tire by taking the following steps:

[0092] For each tire, calculate the tire wear index using the following formula:

[0093]

[0094] Where PTW is the tire wear index, S is the footprint area, E is the tread block stiffness, K is the tread rubber wear parameter, h is the groove depth, H is the tread rubber hardness, C is the vehicle horsepower, and m is the tire load.

[0095] As an optional implementation, if the first tire and the second tire are guide wheels, the wear index of the corresponding tire is determined based on the working condition data of each tire by taking the following steps:

[0096] For each tire, calculate the tire wear index using the following formula:

[0097]

[0098] Where PTW is the tire wear index, S is the footprint area, E is the tread block stiffness, K is the tread rubber wear parameter, h is the groove depth, and H is the tread rubber hardness.

[0099] As an optional implementation, if the first tire and the second tire are located on trailer wheels, the wear index of the corresponding tire may be determined based on the operating condition data of each tire by taking the following steps:

[0100] For each tire, calculate the tire wear index using the following formula:

[0101]

[0102] Where PTW is the tire wear index, S is the footprint area, E is the tread block stiffness, K is the tread rubber wear parameter, h is the groove depth, H is the tread rubber hardness, and m is the tire load.

[0103] After obtaining the wear index, the second determination module determines, for each first tire, the first wear life mileage of the first tire based on the first wear index of the first tire, the second wear index of the second tire, and the second wear life mileage. This process may be performed in the following steps:

[0104] The first wear life mileage of the first tire is calculated using the following formula:

[0105]

[0106] Wherein, A1 represents the first wear life mileage of the first tire, PTW1 represents the first wear index of the first tire, PTW2 represents the second wear index of the second tire, and A2 represents the second wear life mileage of the second tire.

[0107] It should be noted that the modules in the device for determining the tire wear life mileage in the embodiment of the present application correspond one-to-one to the implementation steps of the method for determining the tire wear life mileage in Example 1. Since a detailed description has been given in Example 1, some details not reflected in this embodiment can be referred to Example 1 and will not be elaborated on here.

[0108] Example 3

[0109] According to an embodiment of the present application, a computer program product is further provided. The computer program product includes a computer program, wherein when the computer program is executed by a processor, the method for determining the tire wear life mileage in Example 1 is implemented.

[0110] According to an embodiment of the present application, a non-volatile storage medium is also provided, which includes a stored computer program, wherein the device where the non-volatile storage medium is located executes the method for determining the tire wear life mileage in Example 1 by running the computer program.

[0111] According to an embodiment of the present application, a processor is further provided, which is used to run a computer program, wherein the computer program executes the method for determining the tire wear life mileage in Example 1 when running.

[0112] According to an embodiment of the present application, an electronic device is also provided, which includes: a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to execute the tire wear life mileage determination method in Example 1 through the computer program.

[0113] Specifically, the computer program executes the following steps when it is running: obtaining operating condition data of multiple tires under target operating conditions, wherein the multiple tires include: at least one first tire whose wear life mileage is to be determined and a second tire whose wear life mileage is known, and the first tire and the second tire have the same wheel position; determining the wear index of the corresponding tire based on the operating condition data of each tire; for each first tire, determining the first wear life mileage of the first tire based on the first wear index of the first tire, the second wear index of the second tire, and the second wear life mileage.

[0114] As an optional implementation, the electronic device may be in the form of a mobile terminal, a computer terminal or a similar computing device. Figure 3 The hardware structure block diagram of an electronic device for implementing a method for determining tire wear life mileage is shown. Figure 3 As shown, the electronic device 30 may include one or more (illustrated as 302a, 302b, ..., 302n in the figure) processors 302 (the processor 302 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 304 for storing data, and a transmission device 306 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 the BUS bus), a network interface, a power supply and / or a camera. It will be understood by those skilled in the art that Figure 3 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 3 More or fewer components than shown, or with Figure 3 Different configurations shown.

[0115] It should be noted that the one or more processors 302 and / or other data processing circuits described above may generally be referred to herein as "data processing circuitry". The data processing circuitry may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuitry may be a single independent processing module, or may be incorporated in whole or in part into any of the other components of the electronic device 30. As described in the embodiments of the present application, the data processing circuitry serves as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0116] The memory 304 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the tire wear life mileage determination method in the embodiment of the present application. The processor 302 executes various functional applications and data processing by running the software programs and modules stored in the memory 304, that is, implementing the vulnerability detection method of the above-mentioned application. The memory 304 may include a high-speed random access memory and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 304 may further include a memory remotely located relative to the processor 302, and these remote memories may be connected to the electronic device 30 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0117] The transmission device 306 is used to receive or send data via a network. Specific examples of the aforementioned network may include a wireless network provided by the communications provider of the electronic device 30. In one embodiment, the transmission device 306 includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the Internet. In one embodiment, the transmission device 306 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0118] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the electronic device 30 .

[0119] The serial numbers of the above embodiments are for description only and do not represent the advantages or disadvantages of the embodiments.

[0120] In the above embodiments of the present application, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0121] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0122] Units described as separate components may or may not be physically separate, and 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 may be selected to achieve the purpose of the present embodiment according to actual needs.

[0123] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0124] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially 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, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program code.

[0125] The above is only a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for determining tire wear life mileage, characterized in that: include: Acquiring operating condition data of a plurality of tires under target operating conditions, wherein the plurality of tires include: at least one first tire whose wear life mileage is to be determined and a second tire whose wear life mileage is known, the first tire and the second tire having the same wheel position; Determine the wear index of the corresponding tire based on the working condition data of each tire; For each first tire, a first wear life mileage of the first tire is determined according to a first wear index of the first tire, a second wear index of the second tire, and a second wear life mileage.

2. The method according to claim 1, characterized in that Obtain operating data for multiple tires under target operating conditions, including: For each tire, obtaining material structure data of the tire, wherein the material structure data includes at least: a material distribution map and tread rubber material parameters, and the tread rubber material parameters include at least: tread block stiffness, tread rubber hardness, and tread groove depth; Acquiring driving data corresponding to the target operating condition, wherein the driving data at least includes: vehicle horsepower and tire load; Acquiring performance data of the tire under the target operating condition, wherein the performance data includes at least: footprint area and tread wear parameters, and the performance data of the second tire also includes: the second wear life mileage; The material structure data, the driving data and the performance data are used as the operating condition data.

3. The method according to claim 2, characterized in that The method for obtaining the imprint area includes: constructing a two-dimensional cross-sectional model of the tire according to the material distribution map of the tire; Rotating the two-dimensional cross-sectional model once to obtain a three-dimensional tire model of the tire; An inflation and downward pressure simulation is performed on the three-dimensional tire model according to the tire load to obtain a footprint area of ​​the tire.

4. The method according to claim 2, characterized in that The method for obtaining the tread rubber wear parameter includes: Inputting the tread rubber material parameters and preset simulation operation state parameters into a tire material friction simulation model to perform a friction simulation test, wherein the tire material friction simulation model includes a first tread rubber material sample and a roller in contact with the first tread rubber material sample; determining friction energy generated by contact between the first tread rubber material sample and the roller based on the simulation results; performing a rolling wear test on a second tread rubber material sample, wherein the second tread rubber material sample has the same shape and size as the first tread rubber material sample, and test operation state parameters of the rolling wear test are the same as the simulation operation state parameters; determining a wear volume of the second tread rubber material sample based on the test results; A tread rubber wear parameter of the tire is determined according to the friction energy, the wear volume, and the tread rubber hardness.

5. The method according to claim 2, characterized in that The first tire and the second tire are driving wheels, and the wear index of the corresponding tire is determined according to the working condition data of each tire, including: For each tire, the tire wear index is calculated using the following formula: Where PTW is the tire wear index, S is the footprint area, E is the tread block stiffness, K is the tread rubber wear parameter, h is the groove depth, H is the tread rubber hardness, C is the vehicle horsepower, and m is the tire load.

6. The method according to claim 2, characterized in that The first tire and the second tire are guide wheels, and the wear index of the corresponding tire is determined according to the working condition data of each tire, including: For each tire, the tire wear index is calculated using the following formula: Where PTW is the tire wear index, S is the footprint area, E is the tread block stiffness, K is the tread rubber wear parameter, h is the groove depth, and H is the tread rubber hardness.

7. The method according to claim 2, characterized in that The first tire and the second tire are trailer wheels, and the wear index of the corresponding tire is determined based on the working condition data of each tire, including: For each tire, the tire wear index is calculated using the following formula: Where PTW is the tire wear index, S is the footprint area, E is the tread block stiffness, K is the tread rubber wear parameter, h is the groove depth, H is the tread rubber hardness, and m is the tire load.

8. The method according to any one of claims 5 to 7, characterized in that Determining a first wear life mileage of the first tire according to a first wear index of the first tire, a second wear index of the second tire, and a second wear life mileage includes: The first wear life mileage of the first tire is calculated using the following formula: Wherein, A1 represents the first wear life mileage of the first tire, PTW1 represents the first wear index of the first tire, PTW2 represents the second wear index of the second tire, and A2 represents the second wear life mileage of the second tire.

9. A device for determining tire wear life mileage, characterized in that: include: an acquisition module, configured to acquire operating condition data of a plurality of tires under a target operating condition, wherein the plurality of tires include: at least one first tire whose wear life mileage is to be determined and a second tire whose wear life mileage is known, the first tire and the second tire having the same wheel position; A first determination module is used to determine the wear index of the corresponding tire based on the working condition data of each tire; The second determining module is configured to determine, for each first tire, a first wear life mileage of the first tire according to the first wear index of the first tire, the second wear index of the second tire, and the second wear life mileage.

10. 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 the tire wear life mileage determination method according to any one of claims 1 to 7 through the computer program.

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