Tire design method for improving sidewall thickness and improving tire center response

Abstract

The invention provides a tire design method for improving sidewall thickness and improving tire center response, and belongs to the technical field of vehicle tires, and the method comprises the following steps: acquiring sidewall stress data and tire center response data of a target vehicle tire, and acquiring vehicle information and historical driving information of a target vehicle; determining a vehicle driving feature vector of the target vehicle, and determining a tire side reference thickness matrix of a tire of the target vehicle; based on the sidewall stress data, the tire center response data, the vehicle driving feature vector and the sidewall reference thickness matrix, determining a sidewall optimized thickness matrix of the target vehicle tire; and determining a tire design scheme based on the sidewall optimization thickness matrix of the target vehicle tire. The structure and the performance of the tire can be optimized, the durability and the safety of the tire are improved, fine tire thickness adjustment is achieved, the matching degree and the dynamic performance of the tire and a vehicle are improved, and the suitability, the quality consistency and the use safety of the tire are improved.

Description

Technical Field

[0001] The invention relates to the technical field of vehicle tires, and in particular to a tire design method for improving the sidewall thickness and enhancing the response of the tire center area. Background Art

[0002] Traditional tire design methods are mainly based on test data and use a sidewall structure design with a fixed thickness distribution, which usually fails to fully consider the complex relationship between the vehicle's driving characteristics, the use environment, and tire performance. Especially in high-performance vehicles or special working conditions (such as high loads and complex road conditions), the impact of the design of the sidewall area thickness on the tire center area response (such as stiffness, deformation, and stability) is often ignored or simplified, resulting in a deviation between tire performance and actual needs.

[0003] In recent years, with the development of computer simulation technology and big data analysis, tire performance optimization methods have gradually shifted to comprehensive analysis based on multi-dimensional data. Through in-depth research on sidewall forces, vehicle characteristics, and historical driving data, the impact mechanism of sidewall thickness on center zone response can be further revealed. However, most existing optimization methods are single-shot optimizations, without forming a dynamic adjustment and closed-loop feedback mechanism, making it difficult to fully meet the diverse requirements of tire performance in complex usage scenarios.

[0004] Thus, the present invention provides a method for designing a tire that improves the response of the center region of the tire with increased sidewall thickness. Summary of the invention

[0005] The present invention provides a tire design method for improving the sidewall thickness and enhancing the tire center area response, by determining the vehicle driving characteristic vector of the target vehicle and the sidewall reference thickness matrix, analyzing the sidewall force data, the tire center response data, the vehicle driving characteristic vector and the sidewall reference thickness matrix, determining the sidewall optimized thickness matrix of the target vehicle tire, and determining the tire design scheme. The structure and performance of the tire can be optimized, the durability and safety of the tire can be improved, the tire thickness can be finely adjusted, the matching degree and dynamic performance of the tire and the vehicle can be improved, and the adaptability, quality consistency and use safety of the tire can be improved.

[0006] The present invention provides a tire design method for improving the sidewall thickness and enhancing the tire center area response, comprising: 101: Obtaining the sidewall force data and tire center response data of the target vehicle tire, and obtaining the vehicle information and historical driving information of the target vehicle; 102: Determine a vehicle driving characteristic vector of a target vehicle, and determine a sidewall reference thickness matrix of a tire of the target vehicle; 103: Determine the optimized sidewall thickness matrix of the target vehicle tire based on the sidewall force data, the tire center response data, the vehicle driving characteristic vector and the sidewall reference thickness matrix; 104: Determine a tire design solution based on the sidewall optimized thickness matrix of the target vehicle tire.

[0007] According to the tire design method for improving the sidewall thickness and enhancing the tire center area response provided by the present invention, the sidewall force data and tire center response data of the target vehicle tire are obtained, and the vehicle information and historical driving information of the target vehicle are obtained, including: Acquire vehicle information of the target vehicle, wherein the vehicle information includes vehicle type and vehicle purpose; Acquire historical driving information of the target vehicle, wherein the historical driving information includes historical road surface information and historical driving demand; Dividing the target vehicle tire into regions to determine a first region of the target vehicle tire, wherein the first region includes a plurality of sub-regions; Acquire the sidewall force sub-data and tire center response sub-data of each sub-region in the first region; The sidewall force data are determined based on the sidewall force sub-data of all sub-regions in the first region, and the tire center response data are determined based on the tire center response sub-data of all sub-regions in the first region.

[0008] According to the tire design method for improving the sidewall thickness and enhancing the tire center area response provided by the present invention, determining the vehicle driving characteristic vector of the target vehicle includes: Extract features from vehicle information to determine vehicle feature vectors. At the same time, extract features from historical driving demands to determine driving feature vectors. A vehicle driving feature vector of the target vehicle is determined based on the vehicle feature vector and the driving feature vector.

[0009] According to the tire design method for improving the sidewall thickness and enhancing the tire center area response provided by the present invention, determining the sidewall reference thickness matrix of the target vehicle tire includes: Acquire vehicle tire sidewall thickness information of multiple production batches of target vehicles, wherein the vehicle tire sidewall thickness information includes vehicle tire sidewall thickness sub-information of each production batch; Determine a reference sidewall thickness of each sub-region in the first region based on the first region and the sidewall thickness information of the vehicle tire; Based on all sub-regions in the first region and the sidewall reference thicknesses of all sub-regions, a sidewall reference thickness matrix of the target vehicle tire is determined.

[0010] According to the tire design method for improving the sidewall thickness and enhancing the tire center area response provided by the present invention, based on the sidewall force data, the tire center response data, the vehicle driving characteristic vector and the sidewall reference thickness, the sidewall optimization thickness matrix of the target vehicle tire is determined, including: Determine the regional force vector of each sub-region in the corresponding first region based on each sidewall force sub-data in the sidewall force data; Determine a sub-center response vector of each sub-region in the corresponding first region based on each tire center response sub-data in the tire center response data, and determine a center response vector of the first region based on all tire center response sub-data in the tire center response data; Inputting the regional force vectors, sub-center response vectors and center response vector of all sub-regions in the first region into the sidewall force-center region response association model, and determining the sub-region association sequence and the influence value of each sub-region in the first region on the center region response based on the output result of the sidewall force-center region response association model; Inputting the vehicle driving feature vector, the sub-center response vectors of all sub-areas in the first area, and the center response vector of the first area into a vehicle driving-center area response association model, and determining the driving feature association sequence and the influence value of each feature in the vehicle driving feature vector on the center area response based on the vehicle driving-center area response association model; Determine a thickness adjustment value for each sub-region in the sidewall reference thickness matrix based on the sub-region association sequence, the influence value of each sub-region in the first region on the central region response, the driving feature association sequence, and the influence value of each feature in the vehicle driving feature vector on the central region response; The sidewall optimized thickness matrix is ​​determined based on the thickness adjustment values ​​of all sub-regions in the first region and the sidewall reference thickness matrix.

[0011] According to the tire design method for improving the sidewall thickness and enhancing the tire center area response provided by the present invention, based on the sub-area association sequence, the influence value of each sub-area in the first area on the center area response, the driving feature association sequence and the influence value of each feature in the vehicle driving feature vector on the center area response, the thickness adjustment value of each sub-area in the sidewall reference thickness matrix is ​​determined, including: ; ; ; ; in, represents the thickness adjustment value of the i-th sub-region in the first region, represents the sub-region influence value of the ith sub-region in the first region on the response of the central region, represents the weight of the i-th sub-region in the first region, It represents the characteristic influence value of the jth feature in the vehicle driving characteristic vector on the response of the central area. represents the weight of the jth feature in the vehicle driving feature vector, represents the interactive influence weight of the kth sub-region in the first region on the ith sub-region, represents the interactive influence value of the kth sub-region and the ith sub-region in the first region on the response of the central region, Indicates the sub-area thickness adjustment value, Indicates the characteristic thickness adjustment value, Indicates the interactive thickness adjustment value, Represents the jth feature in the vehicle driving feature vector The order value in the driving feature association sequence Q, N2 represents the number of features in the vehicle driving feature vector, represents the sub-region growth factor, represents the sub-region attenuation factor, represents the characteristic growth factor, represents the characteristic attenuation factor, represents the interaction growth factor, represents the interaction attenuation factor, represents the sub-region power adjustment factor, represents the characteristic power adjustment factor, represents the interaction power adjustment factor.

[0012] According to the tire design method for improving the sidewall thickness and enhancing the tire center area response provided by the present invention, the sidewall optimized thickness matrix is ​​determined based on the thickness adjustment values ​​of all sub-areas in the first area and the sidewall reference thickness matrix, including: ; Where M represents the optimized thickness matrix of the sidewall, , represent the 1st sub-region, the ith sub-region, and the N1th sub-region in the first region, respectively. N1 represents the number of sub-regions in the first region. represent the sidewall reference thicknesses of the 1st sub-region, the i-th sub-region, and the N1-th sub-region in the first region, respectively. They respectively represent the thickness adjustment values ​​of the 1st sub-region, the i-th sub-region, and the N1-th sub-region in the first region.

[0013] According to the tire design method for improving the sidewall thickness and enhancing the tire center area response provided by the present invention, a tire design scheme is determined based on the sidewall optimized thickness matrix of the target vehicle tire, including: Determine whether the optimized thickness matrix of the sidewall meets the response target of the tire center area. If not, adjust the optimized thickness matrix of the sidewall again until the response target of the tire center area is met. The tire design scheme is determined based on the sidewall optimized thickness matrix that meets the tire center area response target.

[0014] Compared with the prior art, the present invention has the following beneficial effects: By determining the vehicle driving characteristic vector and the sidewall reference thickness matrix of the target vehicle, analyzing the sidewall force data, tire center response data, vehicle driving characteristic vector and sidewall reference thickness matrix, the optimized sidewall thickness matrix of the target vehicle tire is determined, and the tire design scheme is determined. It can optimize the structure and performance of the tire, improve the durability and safety of the tire, achieve refined tire thickness adjustment, improve the matching degree and dynamic performance of the tire and the vehicle, and improve the adaptability, quality consistency and safety of the tire. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 It is a flow chart of a tire design method for improving sidewall thickness and enhancing tire center area response provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Embodiment 1: The embodiment of the present invention provides a tire design method for improving the sidewall thickness and enhancing the tire center area response, such as Figure 1 As shown, including: 101: Obtaining the sidewall force data and tire center response data of the target vehicle tire, and obtaining the vehicle information and historical driving information of the target vehicle; 102: Determine a vehicle driving characteristic vector of a target vehicle, and determine a sidewall reference thickness matrix of a tire of the target vehicle; 103: Determine the optimized sidewall thickness matrix of the target vehicle tire based on the sidewall force data, the tire center response data, the vehicle driving characteristic vector and the sidewall reference thickness matrix; 104: Determine a tire design solution based on the sidewall optimized thickness matrix of the target vehicle tire.

[0019] In this embodiment, based on the reference thickness, combined with the force data, tire center response data and vehicle driving characteristics, the thickness of each sub-area of ​​the sidewall is optimized to finally form a sidewall optimized thickness matrix.

[0020] In this embodiment, the tire design solution is an overall tire design description formed based on the sidewall optimized thickness matrix and other design parameters.

[0021] In this embodiment, the optimized sidewall thickness matrix is ​​combined with other tire design parameters (such as tread design and material selection) to form a complete tire design solution that not only meets the center area response target, but also adapts to the driving characteristics and actual usage requirements of the target vehicle.

[0022] The beneficial effects of the above technical solution are as follows: by determining the vehicle driving characteristic vector and the sidewall reference thickness matrix of the target vehicle, analyzing the sidewall force data, tire center response data, vehicle driving characteristic vector and the sidewall reference thickness matrix, determining the sidewall optimized thickness matrix of the target vehicle tire, and determining the tire design solution. It can optimize the structure and performance of the tire, improve the durability and safety of the tire, achieve refined tire thickness adjustment, improve the matching degree and dynamic performance of the tire and the vehicle, and improve the adaptability, quality consistency and use safety of the tire.

[0023] Embodiment 2: The embodiment of the present invention provides a tire design method for improving the sidewall thickness and enhancing the tire center area response, obtaining the sidewall force data and tire center response data of the target vehicle tire, and obtaining the vehicle information and historical driving information of the target vehicle, including: Acquire vehicle information of the target vehicle, wherein the vehicle information includes vehicle type and vehicle purpose; Acquire historical driving information of the target vehicle, wherein the historical driving information includes historical road surface information and historical driving demand; Dividing the target vehicle tire into regions to determine a first region of the target vehicle tire, wherein the first region includes a plurality of sub-regions; Acquire the sidewall force sub-data and tire center response sub-data of each sub-region in the first region; The sidewall force data are determined based on the sidewall force sub-data of all sub-regions in the first region, and the tire center response data are determined based on the tire center response sub-data of all sub-regions in the first region.

[0024] In this embodiment, the vehicle type refers to a specific type of vehicle, such as a sedan, SUV, truck, etc. Different types of vehicles have very different performance requirements for tires.

[0025] In this embodiment, the vehicle use refers to the functional use of the vehicle, such as home use, commercial use, off-road use, or cargo transportation. The use determines the design focus of the tire (such as comfort, durability, or load capacity).

[0026] In this embodiment, the historical road surface information refers to the type of road surface that the vehicle often travels on (such as expressways, urban roads, dirt roads, or gravel roads), reflecting the wear, impact, and adaptability requirements of the road surface on the tire.

[0027] In this embodiment, historical driving demand refers to the typical usage pattern of the vehicle (such as frequent braking, long-term high-speed driving, or short-distance frequent starts and stops), which is used to evaluate how the tire design should adapt to these demands.

[0028] In this embodiment, the tire is divided into several regions so as to perform more accurate analysis and optimization on different regions.

[0029] In this embodiment, the sidewall force characteristics of the sub-areas are distributedly collected, including external force, internal stress, shear force, etc.

[0030] In this embodiment, the tire center response sub-data represents the response data of the sub-region to the external command, including dynamic response capability and feedback characteristics, which are used to evaluate its sensitivity and adaptability.

[0031] In this embodiment, the sidewall force sub-data of all sub-areas of the first area are integrated to form overall sidewall force data, reflecting the comprehensive state of the sidewall force.

[0032] In this embodiment, the tire center response sub-data of all sub-areas of the first area are integrated to form overall tire center response data.

[0033] The beneficial effects of the above technical solution are as follows: determining the sidewall force data, tire center response data, vehicle information and historical driving information can provide a data basis for determining the vehicle driving characteristic vector and the sidewall reference thickness matrix, thereby improving the adaptability and overall performance of the tire.

[0034] Embodiment 3: The embodiment of the present invention provides a tire design method for improving the sidewall thickness and enhancing the tire center area response, and determines a vehicle driving characteristic vector of a target vehicle, including: Extract features from vehicle information to determine vehicle feature vectors. At the same time, extract features from historical driving demands to determine driving feature vectors. A vehicle driving feature vector of the target vehicle is determined based on the vehicle feature vector and the driving feature vector.

[0035] In this embodiment, the vehicle feature vector is a set of quantitative parameters extracted from the vehicle information, which is used to characterize the basic characteristics and dynamic performance of the vehicle. It may include vehicle mass distribution characteristics: such as curb weight, axle load distribution, center of gravity position, etc.; suspension system characteristics: including suspension stiffness and damping characteristics, etc.; steering system characteristics: steering angle range, steering response speed, etc.; drive mode: such as front-wheel drive, rear-wheel drive or four-wheel drive, etc. By extracting these characteristic parameters, a high-dimensional vector is formed, namely the vehicle feature vector.

[0036] In this embodiment, the driving feature vector is a set of parameters extracted based on the historical driving needs of the vehicle, which is used to quantify the actual operating environment and usage habits of the vehicle. The feature extraction content may include driving road condition characteristics: the proportion of different road surfaces (such as highways, urban roads, gravel roads, etc.); speed distribution characteristics: the distribution of vehicle operating time in different speed ranges; braking and acceleration characteristics: including frequent braking, the number and frequency of sudden acceleration; steering characteristics: the number of vehicle turns, the angle change amplitude, etc. After processing, these data constitute the vehicle's driving feature vector.

[0037] In this embodiment, the vehicle feature vector and the driving feature vector are fused, and a vehicle driving feature vector is generated through an algorithm (such as weighted average, cluster analysis, etc.), which comprehensively reflects the inherent dynamic performance of the vehicle and the characteristics of the actual operating environment.

[0038] The beneficial effects of the above technical solution are as follows: determining the vehicle driving characteristic vector of the target vehicle can provide a data basis for determining the sidewall optimization thickness matrix of the target vehicle tire, thereby improving the matching degree and dynamic performance of the tire and the vehicle.

[0039] Embodiment 4: The embodiment of the present invention provides a tire design method for improving the sidewall thickness and enhancing the tire center area response, and determines the sidewall reference thickness matrix of the target vehicle tire, including: Acquire vehicle tire sidewall thickness information of multiple production batches of target vehicles, wherein the vehicle tire sidewall thickness information includes vehicle tire sidewall thickness sub-information of each production batch; Determine a reference sidewall thickness of each sub-region in the first region based on the first region and the sidewall thickness information of the vehicle tire; Based on all sub-regions in the first region and the sidewall reference thicknesses of all sub-regions, a sidewall reference thickness matrix of the target vehicle tire is determined.

[0040] In this embodiment, tires from different production batches may have slight differences in sidewall thickness due to process, material or manufacturing errors. Information related to sidewall thickness is collected for multiple production batches of target vehicles.

[0041] In this embodiment, the sidewall thickness sub-information represents a specific measured value of the tire sidewall thickness of each sub-region in the first region in the corresponding production batch.

[0042] In this embodiment, a sidewall reference thickness is calculated based on the thickness data of all production batches in each sub-region, and a statistical method (such as weighted average, standardization, etc.) is usually used to represent the standard thickness of the region.

[0043] In this embodiment, the sidewall reference thickness matrix is ​​a 2×N1 matrix.

[0044] In this embodiment, the reference thickness matrix completely and systematically characterizes the thickness distribution characteristics of the tire sidewall of the target vehicle.

[0045] The beneficial effects of the above technical solution are as follows: determining the sidewall reference thickness matrix of the target vehicle tire can provide a data basis for determining the sidewall optimized thickness matrix of the target vehicle tire, thereby improving the consistency of tire quality and safety of use.

[0046] Embodiment 5: The embodiment of the present invention provides a tire design method for improving the sidewall thickness and enhancing the tire center area response, and determines the sidewall optimized thickness matrix of the target vehicle tire based on the sidewall force data, the tire center response data, the vehicle driving characteristic vector and the sidewall reference thickness, including: Determine the regional force vector of each sub-region in the corresponding first region based on each sidewall force sub-data in the sidewall force data; Determine a sub-center response vector of each sub-region in the corresponding first region based on each tire center response sub-data in the tire center response data, and determine a center response vector of the first region based on all tire center response sub-data in the tire center response data; Inputting the regional force vectors, sub-center response vectors and center response vector of all sub-regions in the first region into the sidewall force-center region response association model, and determining the sub-region association sequence and the influence value of each sub-region in the first region on the center region response based on the output result of the sidewall force-center region response association model; Inputting the vehicle driving feature vector, the sub-center response vectors of all sub-areas in the first area, and the center response vector of the first area into a vehicle driving-center area response association model, and determining the driving feature association sequence and the influence value of each feature in the vehicle driving feature vector on the center area response based on the vehicle driving-center area response association model; Determine a thickness adjustment value for each sub-region in the sidewall reference thickness matrix based on the sub-region association sequence, the influence value of each sub-region in the first region on the central region response, the driving feature association sequence, and the influence value of each feature in the vehicle driving feature vector on the central region response; The sidewall optimized thickness matrix is ​​determined based on the thickness adjustment values ​​of all sub-regions in the first region and the sidewall reference thickness matrix.

[0047] In this embodiment, the regional force vector represents the force distribution characteristics in the sub-region, reflecting the force conditions of the sidewall in actual use.

[0048] In this embodiment, the sub-center response vector reflects the response data of the sub-region affecting the overall performance of the tire.

[0049] In this embodiment, the center response vector is obtained by summarizing and analyzing the tire center response sub-data of all sub-regions to obtain an overall response vector of the entire first region, which represents the overall performance response of the region.

[0050] In this embodiment, by inputting the regional force vector, the sub-center response vector and the center response vector into the sidewall force-center area response association model, the model output results include: sub-area association sequence: indicating the relative importance of different sub-areas in the response; the influence value of each sub-area on the center area response: revealing the contribution of the force of each sub-area to the overall tire performance.

[0051] In this embodiment, the vehicle driving characteristic vector, the sub-center response vector and the center response vector are input into the vehicle driving-center area response association model, and the model output results include: a driving characteristic association sequence: indicating the relative influence of each driving characteristic on the center response; the influence value of each characteristic on the center area response: revealing the contribution of each driving characteristic to the tire performance response under specific driving conditions.

[0052] In this embodiment, the thickness adjustment value of each sub-area is determined by combining the sub-area association sequence, the influence value of the sub-area on the central area response, the driving characteristic association sequence and the influence value of the driving characteristic on the central area response. Based on these adjustment values, combined with the sidewall reference thickness matrix, the sidewall optimized thickness matrix is ​​obtained.

[0053] The beneficial effects of the above technical solution are as follows: based on the sidewall force data, tire center response data, vehicle driving characteristic vector and sidewall reference thickness, the sidewall optimized thickness matrix of the target vehicle tire is determined, which can optimize the tire structure and performance, enhance the overall performance of the tire, improve the durability and safety of the tire, and achieve refined tire thickness adjustment.

[0054] Embodiment 6: The embodiment of the present invention provides a tire design method for improving the sidewall thickness and enhancing the tire center area response, which determines the thickness adjustment value of each sub-area in the sidewall reference thickness matrix based on the sub-area association sequence, the influence value of each sub-area in the first area on the center area response, the driving feature association sequence, and the influence value of each feature in the vehicle driving feature vector on the center area response, including: ; ; ; ; in, represents the thickness adjustment value of the i-th sub-region in the first region, represents the sub-region influence value of the ith sub-region in the first region on the response of the central region, represents the weight of the i-th sub-region in the first region, It represents the characteristic influence value of the jth feature in the vehicle driving characteristic vector on the response of the central area. represents the weight of the jth feature in the vehicle driving feature vector, represents the interactive influence weight of the kth sub-region in the first region on the ith sub-region, represents the interactive influence value of the kth sub-region and the ith sub-region in the first region on the response of the central region, Indicates the sub-area thickness adjustment value, Indicates the characteristic thickness adjustment value, Indicates the interactive thickness adjustment value, Q j Represents the jth feature in the vehicle driving feature vector The order value in the driving feature association sequence Q, N2 represents the number of features in the vehicle driving feature vector, represents the sub-region growth factor, represents the sub-region attenuation factor, represents the characteristic growth factor, represents the characteristic attenuation factor, represents the interaction growth factor, represents the interaction attenuation factor, represents the sub-region power adjustment factor, represents the characteristic power adjustment factor, represents the interaction power adjustment factor.

[0055] In this embodiment, the sub-region growth factor controls The growth rate of the hyperbolic tangent function in the sub-region attenuation factor Controls the exponential function decay rate, and controls the accelerated growth and decay speed of the weight of the sub-region association sequence.

[0056] In this embodiment, the characteristic growth factor controls The growth rate of the logarithmic function, the characteristic attenuation factor controls The attenuation rate of the exponential decay function controls the strengthening and weakening effects of the driving feature association sequence on the weight.

[0057] In this embodiment, the sub-region interaction factor controls The growth of the exponential decay function is controlled by the sub-region interaction factor The decay rate of the hyperbolic tangent function in is used to adjust the strengthening or weakening effect of sorting differences on the interaction effect.

[0058] The beneficial effects of the above technical solution are as follows: based on the sub-region association sequence, the influence value of each sub-region in the first region on the central region response, the driving feature association sequence and the influence value of each feature in the vehicle driving feature vector on the central region response, the thickness adjustment value for each sub-region in the sidewall reference thickness matrix is ​​determined, which can provide a data basis for determining the sidewall optimized thickness matrix and realize refined tire thickness adjustment.

[0059] Embodiment 7: The embodiment of the present invention provides a tire design method for improving the sidewall thickness and enhancing the tire center area response, and determining the sidewall optimized thickness matrix based on the thickness adjustment values ​​of all sub-areas in the first area and the sidewall reference thickness matrix, including: ; Where M represents the optimized thickness matrix of the sidewall, , represent the 1st sub-region, the ith sub-region, and the N1th sub-region in the first region, respectively. N1 represents the number of sub-regions in the first region. represent the sidewall reference thicknesses of the 1st sub-region, the i-th sub-region, and the N1-th sub-region in the first region, respectively. They respectively represent the thickness adjustment values ​​of the 1st sub-region, the i-th sub-region, and the N1-th sub-region in the first region.

[0060] In this embodiment, They respectively represent the optimized thickness values ​​of the 1st sub-region, the i-th sub-region, and the N1-th sub-region in the first region.

[0061] The beneficial effects of the above technical solution are as follows: determining the sidewall optimized thickness matrix based on the thickness adjustment values ​​of all sub-areas in the first area and the sidewall reference thickness matrix can provide a data basis for determining the tire design scheme, optimize the tire structure and performance, enhance the overall performance of the tire, and improve the durability and safety of the tire.

[0062] Embodiment 8: The embodiment of the present invention provides a tire design method for improving the sidewall thickness and enhancing the tire center area response, and determines a tire design scheme based on a sidewall optimized thickness matrix of a target vehicle tire, including: Determine whether the optimized thickness matrix of the sidewall meets the response target of the tire center area. If not, adjust the optimized thickness matrix of the sidewall again until the response target of the tire center area is met. The tire design scheme is determined based on the sidewall optimized thickness matrix that meets the tire center area response target.

[0063] In this embodiment, the sidewall optimized thickness matrix is ​​an optimization result obtained by analyzing the sidewall force data, response data and vehicle driving characteristics. However, whether this matrix can achieve the preset tire center area response target needs to be verified. The tire center area response target refers to the performance index (such as stiffness, stability, deformation characteristics, etc.) that the tire needs to achieve under specific design conditions. By inputting the sidewall optimized thickness matrix into the corresponding performance simulation model or test environment, the tire center area response corresponding to the matrix is ​​calculated and compared with the preset target value to determine whether it meets the design requirements. If not, the sidewall optimized thickness matrix is ​​adjusted again, and the thickness value of each sub-area is re-optimized and adjusted until the output performance of the optimization matrix is ​​consistent with the preset target.

[0064] In this embodiment, when the sidewall optimized thickness matrix is ​​adjusted and its output performance reaches the preset tire center area response target, the matrix can be used as the final optimization result that meets the performance requirements.

[0065] In this embodiment, the sidewall optimized thickness matrix that ultimately meets the requirements is used as the core parameter of the design, and the overall tire design scheme is determined in combination with other tire structural designs (such as tread thickness, pattern design, etc.).

[0066] The beneficial effects of the above technical solution are as follows: determining the tire design solution based on the sidewall optimized thickness matrix of the target vehicle tire can improve the tire's precision design level, ensure the tire's key performance such as stiffness and stability, and improve the flexibility and adaptability of the design.

[0067] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0068] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0069] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A tire design method for improving the sidewall thickness and enhancing the tire center area response, characterized in that: include: 101: Obtaining the sidewall force data and tire center response data of the target vehicle tire, and obtaining the vehicle information and historical driving information of the target vehicle; 102: Determine a vehicle driving characteristic vector of a target vehicle, and determine a sidewall reference thickness matrix of a tire of the target vehicle; 103: Determine the optimized sidewall thickness matrix of the target vehicle tire based on the sidewall force data, the tire center response data, the vehicle driving characteristic vector, and the sidewall reference thickness matrix; 104: Determine a tire design solution based on the sidewall optimized thickness matrix of the target vehicle tire.

2. The tire design method for improving the sidewall thickness and enhancing the tire center area response according to claim 1, characterized in that: Obtain the sidewall force data and tire center response data of the target vehicle tire, and obtain the vehicle information and historical driving information of the target vehicle, including: Acquire vehicle information of the target vehicle, wherein the vehicle information includes vehicle type and vehicle purpose; Acquire historical driving information of the target vehicle, wherein the historical driving information includes historical road surface information and historical driving demand; Dividing the target vehicle tire into regions to determine a first region of the target vehicle tire, wherein the first region includes a plurality of sub-regions; Acquire the sidewall force sub-data and tire center response sub-data of each sub-region in the first region; The sidewall force data are determined based on the sidewall force sub-data of all sub-regions in the first region, and the tire center response data are determined based on the tire center response sub-data of all sub-regions in the first region.

3. The tire design method for improving the sidewall thickness and enhancing the tire center area response according to claim 1, characterized in that: Determine the vehicle driving feature vector of the target vehicle, including: Extract features from vehicle information to determine vehicle feature vectors. At the same time, extract features from historical driving demands to determine driving feature vectors. A vehicle driving feature vector of the target vehicle is determined based on the vehicle feature vector and the driving feature vector.

4. The tire design method for improving the sidewall thickness and enhancing the tire center area response according to claim 2, characterized in that: Determine the sidewall reference thickness matrix of the target vehicle tire, including: Acquire vehicle tire sidewall thickness information of multiple production batches of target vehicles, wherein the vehicle tire sidewall thickness information includes vehicle tire sidewall thickness sub-information of each production batch; Determine a reference sidewall thickness of each sub-region in the first region based on the first region and the sidewall thickness information of the vehicle tire; Based on all sub-regions in the first region and the sidewall reference thicknesses of all sub-regions, a sidewall reference thickness matrix of the target vehicle tire is determined.

5. The tire design method for improving the sidewall thickness and enhancing the tire center area response according to claim 4, characterized in that: Based on the sidewall force data, tire center response data, vehicle driving characteristic vector and sidewall reference thickness, the sidewall optimization thickness matrix of the target vehicle tire is determined, including: Determine the regional force vector of each sub-region in the corresponding first region based on each sidewall force sub-data in the sidewall force data; Determine a sub-center response vector of each sub-region in the corresponding first region based on each tire center response sub-data in the tire center response data, and determine a center response vector of the first region based on all tire center response sub-data in the tire center response data; Inputting the regional force vectors, sub-center response vectors and center response vector of all sub-regions in the first region into the sidewall force-center region response association model, and determining the sub-region association sequence and the influence value of each sub-region in the first region on the center region response based on the output result of the sidewall force-center region response association model; Inputting the vehicle driving feature vector, the sub-center response vectors of all sub-areas in the first area, and the center response vector of the first area into a vehicle driving-center area response association model, and determining the driving feature association sequence and the influence value of each feature in the vehicle driving feature vector on the center area response based on the vehicle driving-center area response association model; Determine a thickness adjustment value for each sub-region in the sidewall reference thickness matrix based on the sub-region association sequence, the influence value of each sub-region in the first region on the central region response, the driving feature association sequence, and the influence value of each feature in the vehicle driving feature vector on the central region response; The sidewall optimized thickness matrix is ​​determined based on the thickness adjustment values ​​of all sub-regions in the first region and the sidewall reference thickness matrix.

6. The tire design method for improving the sidewall thickness and enhancing the tire center area response according to claim 5, characterized in that: Determining a thickness adjustment value for each sub-region in the sidewall reference thickness matrix based on the sub-region association sequence, the influence value of each sub-region in the first region on the central region response, the driving feature association sequence, and the influence value of each feature in the vehicle driving feature vector on the central region response, including: ； ； ； ； in, represents the thickness adjustment value of the i-th sub-region in the first region, represents the sub-region influence value of the ith sub-region in the first region on the response of the central region, represents the weight of the i-th sub-region in the first region, It represents the characteristic influence value of the jth feature in the vehicle driving characteristic vector on the response of the central area. represents the weight of the jth feature in the vehicle driving feature vector, represents the interactive influence weight of the kth sub-region in the first region on the ith sub-region, represents the interactive influence value of the kth sub-region and the ith sub-region in the first region on the response of the central region, Indicates the sub-area thickness adjustment value, Indicates the characteristic thickness adjustment value, Indicates the interactive thickness adjustment value, The order of the i-th sub-region in the first region in the sub-region association sequence R is represented by, Represents the jth feature in the vehicle driving feature vector The order value in the driving feature association sequence Q, N2 represents the number of features in the vehicle driving feature vector, represents the sub-region growth factor, represents the sub-region attenuation factor, represents the characteristic growth factor, represents the characteristic attenuation factor, represents the interaction growth factor, represents the interaction attenuation factor, represents the sub-region power adjustment factor, represents the characteristic power adjustment factor, represents the interaction power adjustment factor.

7. The tire design method for improving the sidewall thickness and enhancing the tire center area response according to claim 5, characterized in that: Determining a sidewall optimized thickness matrix based on the thickness adjustment values ​​of all sub-regions in the first region and a sidewall reference thickness matrix includes: ； Where M represents the optimized thickness matrix of the sidewall, , represent the 1st sub-region, the ith sub-region, and the N1th sub-region in the first region, respectively. N1 represents the number of sub-regions in the first region. represent the sidewall reference thicknesses of the 1st sub-region, the i-th sub-region, and the N1-th sub-region in the first region, respectively. They respectively represent the thickness adjustment values ​​of the 1st sub-region, the i-th sub-region, and the N1-th sub-region in the first region.

8. The tire design method for improving the sidewall thickness and enhancing the tire center area response according to claim 1, characterized in that: Determine the tire design scheme based on the sidewall optimized thickness matrix of the target vehicle tire, including: Determine whether the optimized thickness matrix of the sidewall meets the response target of the tire center area. If not, adjust the optimized thickness matrix of the sidewall again until the response target of the tire center area is met. The tire design scheme is determined based on the sidewall optimized thickness matrix that meets the tire center area response target.

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