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

Abstract

The present invention provides a tire design method for improving the sidewall thickness and enhancing the response of the tire center area, belonging to the technical field of vehicle tires, including: obtaining the sidewall force data and tire center response data of the target vehicle's tires, and obtaining the vehicle information and historical driving information of the target vehicle; determining the vehicle driving characteristic vector of the target vehicle, and determining the sidewall reference thickness matrix of the target vehicle's tires; based on the sidewall force data, tire center response data, vehicle driving characteristic vector, and sidewall reference thickness matrix, determining the sidewall optimized thickness matrix of the target vehicle's tires; and determining the tire design scheme based on the sidewall optimized thickness matrix of the target vehicle's tires. It can optimize the structure and performance of the tire, improve the durability and safety of the tire, achieve refined tire thickness adjustment, enhance the matching degree and dynamic performance of the tire and the vehicle, and improve the adaptability, quality consistency, and use safety of the tire.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle tires, and particularly 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 experimental data and adopt a sidewall structure design with a fixed thickness distribution. Usually, the complex relationships among the driving characteristics of the vehicle, the usage environment, and the tire performance cannot be fully considered. Especially in high-performance vehicles or special working conditions (such as high load, complex road conditions), the influence of the sidewall area thickness on the response of the tire center area (such as stiffness, deformation, stability) is often ignored or simplified, resulting in a deviation between the tire performance and the actual requirements.

[0003] In recent years, with the development of computer simulation technology and big data analysis, tire performance optimization methods have gradually shifted towards comprehensive analysis based on multi-dimensional data. By deeply studying the sidewall force, vehicle characteristics, and historical driving data, the influence mechanism of the sidewall thickness on the center area response can be further revealed. However, existing optimization methods are mostly single optimization, without forming a dynamic adjustment and closed-loop feedback mechanism, and it is difficult to fully meet the diverse requirements of complex usage scenarios for tire performance.

[0004] Therefore, the present invention provides a tire design method for improving the sidewall thickness and enhancing the response of the tire center area. Summary of the Invention

[0005] The present invention provides a tire design method for improving the sidewall thickness and enhancing the response of the tire center area. By determining the vehicle driving characteristic vector of the target vehicle and the sidewall reference thickness matrix, analyzing the sidewall force data, tire center response data, vehicle driving characteristic vector, and sidewall reference thickness matrix, determining the sidewall optimized thickness matrix of the target vehicle tire, and determining the tire design scheme. It can optimize the structure and performance of the tire, improve the durability and safety of the tire, achieve refined tire thickness adjustment, enhance the matching degree and dynamic performance of the tire and the vehicle, and improve the adaptability, quality consistency, and usage safety of the tire.

[0006] The present invention provides a tire design method for improving the sidewall thickness and enhancing the response of the tire center area, including:

[0007] 101: 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;

[0008] 102: Determine the vehicle driving characteristic vector of the target vehicle, and determine the sidewall reference thickness matrix of the target vehicle tire;

[0009] 103: Determine the optimized sidewall thickness matrix of the target vehicle's tire based on the sidewall force data, tire center response data, vehicle driving characteristic vector, and sidewall reference thickness matrix.

[0010] 104: Determine the tire design scheme based on the optimized sidewall thickness matrix of the target vehicle's tire.

[0011] According to the tire design method provided by the present invention for improving the sidewall thickness and enhancing the response of the tire center area, obtain the sidewall force data and tire center response data of the target vehicle's tire, and obtain the vehicle information and historical driving information of the target vehicle, including:

[0012] Obtain the vehicle information of the target vehicle, where the vehicle information includes vehicle type and vehicle use.

[0013] Obtain the historical driving information of the target vehicle, where the historical driving information includes historical road surface information and historical driving requirements.

[0014] Divide the area of the target vehicle's tire to determine the first area of the target vehicle's tire, where the first area includes multiple sub-areas.

[0015] Obtain the sidewall force sub-data and tire center response sub-data of each sub-area in the first area.

[0016] Based on the sidewall force sub-data of all sub-areas in the first area, determine the sidewall force data. At the same time, based on the tire center response sub-data of all sub-areas in the first area, determine the tire center response data.

[0017] According to the tire design method provided by the present invention for improving the sidewall thickness and enhancing the response of the tire center area, determine the vehicle driving characteristic vector of the target vehicle, including:

[0018] Extract features from the vehicle information to determine the vehicle characteristic vector. At the same time, extract features from the historical driving requirements to determine the driving characteristic vector.

[0019] Based on the vehicle characteristic vector and the driving characteristic vector, determine the vehicle driving characteristic vector of the target vehicle.

[0020] According to the tire design method provided by the present invention for improving the sidewall thickness and enhancing the response of the tire center area, determine the sidewall reference thickness matrix of the target vehicle's tire, including:

[0021] Obtain the sidewall thickness information of the vehicle tires of multiple production batches of the target vehicle, where the sidewall thickness information of the vehicle tires includes the sidewall thickness sub-information of each production batch of the vehicle tires.

[0022] Based on the first area and the sidewall thickness information of the vehicle tires, determine the sidewall reference thickness of each sub-area in the first area.

[0023] Based on all sub-regions in the first region and the carcass reference thickness of all sub-regions, determine the carcass reference thickness matrix of the target vehicle tire.

[0024] According to the tire design method provided by the present invention for improving the carcass thickness and enhancing the response of the tire center area, based on the carcass force data, tire center response data, vehicle driving characteristic vector, and carcass reference thickness, determine the optimized carcass thickness matrix of the target vehicle tire, including:

[0025] Based on each carcass force sub-data in the carcass force data, determine the regional force vector of each sub-region in the corresponding first region;

[0026] Based on each tire center response sub-data in the tire center response data, determine the sub-center response vector of each sub-region in the corresponding first region. At the same time, based on all tire center response sub-data in the tire center response data, determine the center response vector of the first region;

[0027] Input the regional force vectors, sub-center response vectors of all sub-regions in the first region, and the center response vector of the first region into the carcass force-center area response correlation model, and based on the output result of the carcass force-center area response correlation model, determine the sub-region correlation sequence and the influence value of each sub-region in the first region on the center area response;

[0028] Input the vehicle driving characteristic vector, sub-center response vectors of all sub-regions in the first region, and the center response vector of the first region into the vehicle driving-center area response correlation model, and based on the vehicle driving-center area response correlation model, determine the driving characteristic correlation sequence and the influence value of each feature in the vehicle driving characteristic vector on the center area response;

[0029] Based on the sub-region correlation sequence, the influence value of each sub-region in the first region on the center area response, the driving characteristic correlation sequence, and the influence value of each feature in the vehicle driving characteristic vector on the center area response, determine the thickness adjustment value for each sub-region in the carcass reference thickness matrix;

[0030] Based on the thickness adjustment values of all sub-regions in the first region and the carcass reference thickness matrix, determine the optimized carcass thickness matrix.

[0031] According to the tire design method provided by the present invention for improving the carcass thickness and enhancing the response of the tire center area, based on the sub-region correlation sequence, the influence value of each sub-region in the first region on the center area response, the driving characteristic correlation sequence, and the influence value of each feature in the vehicle driving characteristic vector on the center area response, determine the thickness adjustment value for each sub-region in the carcass reference thickness matrix, including:

[0032] ;

[0033] ;

[0034] ;

[0035] ;

[0036] Among them, represents the thickness adjustment value of the i-th sub-region in the first region, represents the sub-region influence value on the central region response of the i-th sub-region in the first region, represents the weight of the i-th sub-region in the first region, represents the feature influence value on the central region response of the j-th feature in the vehicle driving feature vector, represents the weight of the j-th feature in the vehicle driving feature vector, represents the interaction influence weight of the k-th sub-region on the i-th sub-region in the first region, represents the interaction influence value on the central region response of the k-th sub-region and the i-th sub-region in the first region, represents the sub-region thickness adjustment value, represents the feature thickness adjustment value, represents the interaction thickness adjustment value, represents the j-th feature in the vehicle driving feature vector The sequence value in the driving feature correlation sequence Q, N2 represents the number of features in the vehicle driving feature vector, represents the sub-region growth factor, represents the sub-region decay factor, represents the feature growth factor, represents the feature decay factor, represents the interaction growth factor, represents the interaction decay factor, represents the sub-region power adjustment factor, represents the feature power adjustment factor, represents the interaction power adjustment factor.

[0037] According to the tire design method for improving the sidewall thickness and enhancing the tire central region response provided by the present invention, based on the thickness adjustment values of all sub-regions in the first region and the sidewall reference thickness matrix, determining the sidewall optimized thickness matrix includes:

[0038] ;

[0039] Among them, M represents the sidewall optimized thickness matrix, , respectively represent the 1st sub-region, the i-th sub-region, and the N1-th sub-region in the first region, where N1 represents the number of sub-regions in the first region, respectively represent the carcass reference thicknesses of the 1st sub-region, the i-th sub-region, and the N1-th sub-region in the first region, 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.

[0040] According to the tire design method for improving the carcass thickness and enhancing the response of the tire center region provided by the present invention, a tire design scheme is determined based on the optimized carcass thickness matrix of the target vehicle tire, including:

[0041] Judge whether the optimized carcass thickness matrix meets the tire center region response target. If not, readjust the optimized carcass thickness matrix until it meets the tire center region response target;

[0042] Determine a tire design scheme based on the optimized carcass thickness matrix that meets the tire center region response target.

[0043] Compared with the prior art, the beneficial effects of the present application are as follows:

[0044] By determining the vehicle driving characteristic vector of the target vehicle and the carcass reference thickness matrix, analyzing the carcass force data, tire center response data, vehicle driving characteristic vector, and carcass reference thickness matrix, determining the optimized carcass thickness matrix of the target vehicle tire, and determining a tire design scheme. The structure and performance of the tire can be optimized, the durability and safety of the tire can be improved, fine adjustment of the tire thickness can be achieved, the matching degree and dynamic performance of the tire and the vehicle can be enhanced, and the adaptability, quality consistency, and use safety of the tire can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0046] Figure 1 is a flowchart of the tire design method for improving the carcass thickness and enhancing the response of the tire center region provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0047] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of them. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without creative efforts belong to the scope of protection of the present invention.

[0048] Embodiment 1:

[0049] The embodiment of the present invention provides a tire design method for improving the sidewall thickness and enhancing the response of the tire center area. As Figure 1 shown, it includes:

[0050] 101: Obtain the sidewall force data and tire center response data of the target vehicle's tires, and obtain the vehicle information and historical driving information of the target vehicle;

[0051] 102: Determine the vehicle driving characteristic vector of the target vehicle and determine the sidewall reference thickness matrix of the target vehicle's tires;

[0052] 103: Based on the sidewall force data, tire center response data, vehicle driving characteristic vector, and sidewall reference thickness matrix, determine the sidewall optimized thickness matrix of the target vehicle's tires;

[0053] 104: Determine the tire design scheme based on the sidewall optimized thickness matrix of the target vehicle's tires.

[0054] 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-region of the sidewall is optimized, and finally the sidewall optimized thickness matrix is formed.

[0055] In this embodiment, the tire design scheme is an overall tire design description formed based on the sidewall optimized thickness matrix and other design parameters.

[0056] In this embodiment, the optimized sidewall thickness matrix is combined with other tire design parameters (such as tread design, material selection) to form a complete tire design scheme, which not only meets the response target of the center area but also can adapt to the driving characteristics and actual use requirements of the target vehicle.

[0057] Beneficial effects of the above technical solution: 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, determining the optimized sidewall thickness matrix of the target vehicle's 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, refined tire thickness adjustment can be achieved, the matching degree and dynamic performance of the tire and the vehicle can be enhanced, and the adaptability, quality consistency, and use safety of the tire can be improved.

[0058] Embodiment 2:

[0059] The embodiment of the present invention provides a tire design method for improving the sidewall thickness and enhancing the response of the tire center area, obtaining the sidewall force data and tire center response data of the target vehicle's tire, and obtaining the vehicle information and historical driving information of the target vehicle, including:

[0060] Obtain the vehicle information of the target vehicle, where the vehicle information includes vehicle type and vehicle use;

[0061] Obtain the historical driving information of the target vehicle, where the historical driving information includes historical road surface information and historical driving requirements;

[0062] Divide the area of the target vehicle's tire to determine the first area of the target vehicle's tire, where the first area includes multiple sub-areas;

[0063] Obtain the sidewall force sub-data and tire center response sub-data of each sub-area in the first area;

[0064] Based on the sidewall force sub-data of all sub-areas in the first area, determine the sidewall force data. At the same time, based on the tire center response sub-data of all sub-areas in the first area, determine the tire center response data.

[0065] In this embodiment, the vehicle type refers to the specific type of vehicle, such as a sedan, SUV, truck, etc. Different types of vehicles have significant differences in tire performance requirements.

[0066] In this embodiment, the vehicle use refers to the functional use of the vehicle, such as household, commercial, off-road, or cargo transportation. The use determines the design focus of the tire (such as comfort, durability, or load capacity).

[0067] In this embodiment, the historical road surface information refers to the type of road surface that the vehicle often travels on (such as highways, urban roads, dirt roads, or gravel roads), which reflects the wear, impact, and adaptability requirements of the road surface on the tire.

[0068] In this embodiment, the historical driving requirements refer to the typical usage patterns of the vehicle (such as frequent braking, long-time high-speed driving, or short-distance multiple start-stop cycles), which are used to evaluate how the tire design should adapt to these requirements.

[0069] In this embodiment, the tire is divided into several regions for more precise analysis and optimization of different regions.

[0070] In this embodiment, the distributed collection of the sidewall force characteristics of the sub-regions is carried out, including external force, internal stress, shear force, etc.

[0071] In this embodiment, the tire center response sub-data represents the response data of the sub-region to external instructions, including dynamic response ability and feedback characteristics, which are used to evaluate its sensitivity and adaptability.

[0072] In this embodiment, the sidewall force sub-data of all sub-regions in the first region are integrated to form the overall sidewall force data, reflecting the comprehensive state of the sidewall load-bearing.

[0073] In this embodiment, the tire center response sub-data of all sub-regions in the first region are integrated to form the overall tire center response data.

[0074] The beneficial effects of the above technical solutions: 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, improving the adaptability and comprehensive performance of the tire.

[0075] Embodiment 3:

[0076] The embodiment of the present invention provides a tire design method for improving the sidewall thickness and enhancing the response of the tire center area, determining the vehicle driving characteristic vector of the target vehicle, including:

[0077] Performing feature extraction on the vehicle information to determine the vehicle feature vector. At the same time, performing feature extraction on the historical driving requirements to determine the driving feature vector;

[0078] Based on the vehicle feature vector and the driving feature vector, determining the vehicle driving characteristic vector of the target vehicle.

[0079] In this embodiment, the vehicle feature vector is a set of quantization parameters extracted from the vehicle information, which is used to characterize the basic characteristics and dynamic performance of the vehicle. It can include the 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 feature parameters, a high-dimensional vector, that is, the vehicle feature vector, is formed.

[0080] In this embodiment, the driving feature vector is a set of parameters extracted according to the historical driving demands of the vehicle, which is used to quantify the actual operating environment and usage habits of the vehicle. The content of feature extraction may include driving road condition characteristics: the proportion of different road surfaces (such as highways, urban roads, gravel roads, etc.); speed distribution characteristics: the running time distribution of the vehicle in different speed intervals; braking and acceleration characteristics: including the number and frequency of frequent braking and sudden acceleration; steering characteristics: the number of vehicle steering and the amplitude of angle change, etc. After processing these data, a driving feature vector of the vehicle is formed.

[0081] In this embodiment, the vehicle feature vector and the driving feature vector are fused, and a vehicle driving feature vector is generated through algorithms (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.

[0082] The beneficial effects of the above technical solution: Determining the vehicle driving feature vector of the target vehicle can provide a data basis for determining the optimized thickness matrix of the tire sidewall of the target vehicle, and improve the matching degree and dynamic performance of the tire and the vehicle.

[0083] Embodiment 4:

[0084] The embodiment of the present invention provides a tire design method for improving the sidewall thickness and enhancing the response of the tire center area, which determines the reference thickness matrix of the tire sidewall of the target vehicle, including:

[0085] Obtain the sidewall thickness information of the vehicle tires of multiple production batches of the target vehicle, where the sidewall thickness information of the vehicle tires includes the sidewall thickness sub-information of each production batch of the vehicle tires;

[0086] Based on the first region and the sidewall thickness information of the vehicle tires, determine the reference sidewall thickness of each sub-region in the first region;

[0087] Based on all sub-regions in the first region and the reference sidewall thickness of all sub-regions, determine the reference thickness matrix of the tire sidewall of the target vehicle.

[0088] In this embodiment, the tires of different production batches may have slight differences in sidewall thickness due to processes, materials or manufacturing errors. For multiple production batches of the target vehicle, information related to the sidewall thickness is collected.

[0089] In this embodiment, the sidewall thickness sub-information represents the specific measured value of the tire sidewall thickness of each sub-region in the first region in the corresponding production batch.

[0090] In this embodiment, based on the thickness data of all production batches in each sub-region, a reference sidewall thickness is calculated, and statistical methods (such as weighted average, standardization, etc.) are usually used to represent the standard thickness of this region.

[0091] In this embodiment, the sidewall reference thickness matrix is a 2×N1 matrix.

[0092] In this embodiment, the reference thickness matrix completely and systematically characterizes the thickness distribution characteristics of the sidewall of the target vehicle tire.

[0093] Beneficial effects of the above technical solution: Determining the sidewall reference thickness matrix of the target vehicle tire can provide a data basis for determining the optimized thickness matrix of the sidewall of the target vehicle tire, and improve the consistency of tire quality and the safety of use.

[0094] Embodiment 5:

[0095] The embodiment of the present invention provides a tire design method for improving the sidewall thickness and enhancing the response of the tire center area. Based on the sidewall force data, tire center response data, vehicle driving characteristic vector, and sidewall reference thickness, determine the optimized thickness matrix of the sidewall of the target vehicle tire, including:

[0096] Based on each sidewall force sub-data in the sidewall force data, determine the regional force vector of each sub-region in the corresponding first region;

[0097] Based on each tire center response sub-data in the tire center response data, determine the sub-center response vector of each sub-region in the corresponding first region. At the same time, based on all the tire center response sub-data in the tire center response data, determine the center response vector of the first region;

[0098] Input the regional force vectors, sub-center response vectors of all sub-regions in the first region, and the center response vector of the first region into the sidewall force-center area response correlation model, and determine the sub-region correlation sequence and the influence value of each sub-region in the first region on the center area response based on the output result of the sidewall force-center area response correlation model;

[0099] Input the vehicle driving characteristic vector, sub-center response vectors of all sub-regions in the first region, and the center response vector of the first region into the vehicle driving-center area response correlation model, and determine the driving characteristic correlation sequence and the influence value of each characteristic in the vehicle driving characteristic vector on the center area response based on the vehicle driving-center area response correlation model;

[0100] Based on the sub-region correlation sequence, the influence value of each sub-region in the first region on the center area response, the driving characteristic correlation sequence, and the influence value of each characteristic in the vehicle driving characteristic vector on the center area response, determine the thickness adjustment value of each sub-region in the sidewall reference thickness matrix;

[0101] Based on the thickness adjustment values of all sub-regions in the first region and the sidewall reference thickness matrix, determine the sidewall optimized thickness matrix.

[0102] In this embodiment, the regional force vector represents the force distribution characteristics within the sub-region and reflects the force condition of the tire sidewall during actual use.

[0103] In this embodiment, the sub-center response vector reflects the response data of the sub-region's impact on the overall tire performance.

[0104] In this embodiment, the center response vector obtains the overall response vector of the entire first region by aggregating and analyzing the tire center response sub-data of all sub-regions, representing the overall performance response of the region.

[0105] In this embodiment, by inputting the regional force vector, sub-center response vector, and center response vector into the tire sidewall force-center region response correlation model, the model output results include: sub-region correlation sequence: representing the relative importance of different sub-regions in the response; the influence value of each sub-region on the center region response: revealing the contribution of the force of each sub-region to the overall tire performance.

[0106] In this embodiment, the vehicle driving characteristic vector, sub-center response vector, and center response vector are input into the vehicle driving-center region response correlation model, and the model output results include: driving characteristic correlation sequence: representing the relative influence of each driving characteristic on the center response; the influence value of each characteristic on the center region response: revealing the contribution of each driving characteristic to the tire performance response under specific driving conditions.

[0107] In this embodiment, by combining the sub-region correlation sequence, the influence value of the sub-region on the center region response, the driving characteristic correlation sequence, and the influence value of the driving characteristic on the center region response, the thickness adjustment value of each sub-region is determined. Based on these adjustment values, combined with the tire sidewall reference thickness matrix, the optimized tire sidewall thickness matrix is obtained.

[0108] The beneficial effects of the above technical solution: Based on the tire sidewall force data, tire center response data, vehicle driving characteristic vector, and tire sidewall reference thickness, the optimized tire sidewall thickness matrix of the target vehicle's tire is determined, which can optimize the structure and performance of the tire, improve the overall performance of the tire, enhance the durability and safety of the tire, and achieve refined tire thickness adjustment.

[0109] Embodiment 6:

[0110] The embodiment of the present invention provides a tire design method for improving the tire sidewall thickness and enhancing the tire center region response. Based on the sub-region correlation sequence, the influence value of each sub-region in the first region on the center region response, the driving characteristic correlation sequence, and the influence value of each characteristic in the vehicle driving characteristic vector on the center region response, the thickness adjustment value of each sub-region in the tire sidewall reference thickness matrix is determined, including:

[0111] ;

[0112] ;

[0113] ;

[0114] ;

[0115] Among them, represents the thickness adjustment value of the i-th sub-region in the first region, represents the sub-region influence value on the central region response of the i-th sub-region in the first region, represents the weight of the i-th sub-region in the first region, represents the feature influence value on the central region response of the j-th feature in the vehicle driving feature vector, represents the weight of the j-th feature in the vehicle driving feature vector, represents the interaction influence weight of the k-th sub-region on the i-th sub-region in the first region, represents the interaction influence value on the central region response of the k-th sub-region and the i-th sub-region in the first region, represents the sub-region thickness adjustment value, represents the feature thickness adjustment value, represents the interaction thickness adjustment value, represents the j-th feature in the vehicle driving feature vector The sequence value in the driving feature correlation sequence Q of N2 represents the number of features in the vehicle driving feature vector, represents the sub-region growth factor, represents the sub-region decay factor, represents the feature growth factor, represents the feature decay factor, represents the interaction growth factor, represents the interaction decay factor, represents the sub-region power adjustment factor, represents the feature power adjustment factor, represents the interaction power adjustment factor.

[0116] In this embodiment, the sub-region growth factor controls The growth rate of the hyperbolic tangent function in, and the sub-region decay factor Controls the decay rate of the exponential function, and respectively controls the accelerated growth and decay speeds of the sub-region correlation sequence to the weight.

[0117] In this embodiment, the feature growth factor controls The growth rate of the logarithmic function in, and the feature decay factor controls The decay rate of the exponential decay function in, and respectively controls the enhancement and weakening effects of the driving feature correlation sequence on the weight.

[0118] In this embodiment, the sub-region interaction factor controls the growth of the exponential decay function, and the sub-region interaction factor controls the decay rate of the hyperbolic tangent function, which is used to adjust the enhancement or weakening effect of the sorting difference on the interaction effect.

[0119] Beneficial effects of the above technical solution: Based on the sub-region association sequence, the influence value of each sub-region in the first region on the response of the central region, the driving feature association sequence, and the influence value of each feature in the vehicle driving feature vector on the response of the central region, determine the thickness adjustment value for each sub-region in the sidewall reference thickness matrix, which can provide a data basis for determining the sidewall optimized thickness matrix and achieve refined tire thickness adjustment.

[0120] Embodiment 7:

[0121] The embodiment of the present invention provides a tire design method for improving the sidewall thickness and enhancing the response of the tire central region. Based on the thickness adjustment values of all sub-regions in the first region and the sidewall reference thickness matrix, determine the sidewall optimized thickness matrix, including:

[0122] ;

[0123] where M represents the sidewall optimized thickness matrix, , respectively represent the 1st sub-region, the ith sub-region, and the N1th sub-region in the first region, and N1 represents the number of sub-regions in the first region, respectively represent the sidewall reference thicknesses of the 1st sub-region, the ith sub-region, and the N1th sub-region in the first region, respectively represent the thickness adjustment values of the 1st sub-region, the ith sub-region, and the N1th sub-region in the first region.

[0124] In this embodiment, respectively represent the optimized thickness values of the 1st sub-region, the ith sub-region, and the N1th sub-region in the first region.

[0125] Beneficial effects of the above technical solution: Based on the thickness adjustment values of all sub-regions in the first region and the sidewall reference thickness matrix to determine the sidewall optimized thickness matrix, it can provide a data basis for determining the tire design scheme, optimize the structure and performance of the tire, improve the overall performance of the tire, and enhance the durability and safety of the tire.

[0126] Embodiment 8:

[0127] The embodiment of the present invention provides a tire design method for improving the sidewall thickness and enhancing the response of the tire central region. Based on the sidewall optimized thickness matrix of the target vehicle tire, determine the tire design scheme, including:

[0128] Determine whether the optimized thickness matrix of the tire sidewall meets the response target of the tire center area. If it does not meet the requirement, readjust the optimized thickness matrix of the tire sidewall until the response target of the tire center area is satisfied.

[0129] Determine the tire design scheme based on the optimized thickness matrix of the tire sidewall that meets the response target of the tire center area.

[0130] In this embodiment, the optimized thickness matrix of the tire sidewall is the optimization result obtained by analyzing the force data, response data of the tire sidewall, and vehicle driving characteristics. However, it is necessary to verify whether this matrix can achieve the preset response target of the tire center area. The response target of the tire center area refers to the performance indicators (such as stiffness, stability, deformation characteristics, etc.) that the tire needs to achieve under specific design conditions. By inputting the optimized thickness matrix of the tire sidewall into the corresponding performance simulation model or test environment, calculate the response of the tire center area corresponding to this matrix, compare it with the preset target value, and determine whether it meets the design requirements. If it does not meet the requirement, readjust the optimized thickness matrix of the tire sidewall, and re-optimize and adjust the thickness values of each sub-region until the output performance of the optimized matrix is consistent with the preset target.

[0131] In this embodiment, when the output performance of the optimized thickness matrix of the tire sidewall reaches the preset response target of the tire center area after adjustment, this matrix can be used as the final optimization result that meets the performance requirements.

[0132] In this embodiment, use the optimized thickness matrix of the tire sidewall that finally meets the requirements as the core parameter of the design, and combine other tire structure designs (such as tread thickness, tread pattern design, etc.) to determine the overall tire design scheme.

[0133] Beneficial effects of the above technical solution: Determining the tire design scheme based on the optimized thickness matrix of the tire sidewall of the target vehicle tire can improve the precision design level of the tire, ensure key performances such as the stiffness and stability of the tire, and improve the flexibility and adaptability of the design.

[0134] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0135] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing 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.

[0136] 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 them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate 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 response of the tire center area, characterized in that, Including: 101: Obtain the sidewall force data and tire center response data of the target vehicle's tires, and obtain the vehicle information and historical driving information of the target vehicle; 102: Determine the vehicle driving characteristic vector of the target vehicle, and determine the sidewall reference thickness matrix of the target vehicle's tires; 103: Based on the sidewall force data, tire center response data, vehicle driving characteristic vector, and sidewall reference thickness matrix, determine the sidewall optimized thickness matrix of the target vehicle's tires; 104: Determine the tire design scheme based on the sidewall optimized thickness matrix of the target vehicle's tires; Among them, 103 includes: Divide the area of the target vehicle's tires to determine the first area of the target vehicle's tires, where the first area includes multiple sub-areas; Based on each sidewall force sub-data in the sidewall force data, determine the area force vector of each sub-area in the corresponding first area; Based on each tire center response sub-data in the tire center response data, determine the sub-center response vector of each sub-area in the corresponding first area. At the same time, based on all tire center response sub-data in the tire center response data, determine the center response vector of the first area; Input the area force vectors, sub-center response vectors of all sub-areas in the first area, and the center response vector of the first area into the sidewall force-center area response correlation model, and determine the sub-area correlation sequence and the influence value of each sub-area in the first area on the center area response based on the output result of the sidewall force-center area response correlation model; Input the vehicle driving characteristic vector, the sub-center response vectors of all sub-areas in the first area, and the center response vector of the first area into the vehicle driving-center area response correlation model, and determine the driving characteristic correlation sequence and the influence value of each characteristic in the vehicle driving characteristic vector on the center area response based on the vehicle driving-center area response correlation model; Based on the sub-area correlation sequence, the influence value of each sub-area in the first area on the center area response, the driving characteristic correlation sequence, and the influence value of each characteristic in the vehicle driving characteristic vector on the center area response, determine the thickness adjustment value of each sub-area in the sidewall reference thickness matrix; Based on the thickness adjustment values of all sub-areas in the first area and the sidewall reference thickness matrix, determine the sidewall optimized thickness matrix.

2. The tire design method for improving the sidewall thickness and enhancing the response of the tire center region according to claim 1, characterized in that Obtain the sidewall force data and tire center response data of the target vehicle's tires, and obtain the vehicle information and historical driving information of the target vehicle, including: Obtain the vehicle information of the target vehicle, where the vehicle information includes vehicle type and vehicle use; Obtain the historical driving information of the target vehicle, where the historical driving information includes historical road surface information and historical driving requirements; Obtain the sidewall force sub-data and tire center response sub-data of each sub-area in the first area; Based on the sidewall force sub-data of all sub-areas in the first area, determine the sidewall force data, and at the same time, based on the tire center response sub-data of all sub-areas in the first area, determine the tire center response data.

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

4. The tire design method for improving the sidewall thickness and enhancing the response of the tire center region according to claim 2, wherein Determine the reference thickness matrix of the sidewall of the target vehicle's tire, including: Obtain the sidewall thickness information of the vehicle tires of multiple production batches of the target vehicle, where the sidewall thickness information of the vehicle tires includes the sidewall thickness sub-information of each production batch of the vehicle tires; Based on the first area and the sidewall thickness information of the vehicle tires, determine the reference thickness of the sidewall of each sub-area in the first area; Based on all sub-areas in the first area and the reference thickness of the sidewall of all sub-areas, determine the reference thickness matrix of the sidewall of the target vehicle's tire.

5. The tire design method for improving the sidewall thickness and enhancing the response of the tire center region according to claim 1, characterized in that, Based on the sub-area association sequence, the influence value of each sub-area in the first area on the response of the central area, the driving feature association sequence, and the influence value of each feature in the vehicle driving feature vector on the response of the central area, determine the thickness adjustment value for each sub-area in the reference thickness matrix of the sidewall, including: ； ； ； ； Among them, represents the thickness adjustment value of the i-th sub-region in the first region, represents the sub-region influence value of the i-th sub-region in the first region on the central region response, represents the weight of the i-th sub-region in the first region, represents the feature influence value of the j-th feature in the vehicle driving feature vector on the central region response, represents the weight of the j-th feature in the vehicle driving feature vector, represents the interaction influence weight of the k-th sub-region in the first region on the i-th sub-region, represents the interaction influence value of the k-th sub-region and the i-th sub-region in the first region on the central region response, represents the sub-region thickness adjustment value, represents the feature thickness adjustment value, represents the interaction thickness adjustment value, represents the sequence index of the i-th sub-region in the first region in the sub-region association sequence R, represents the j-th feature in the vehicle driving feature vector The sequence 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 decay factor, represents the feature growth factor, represents the feature decay factor, represents the interaction growth factor, represents the interaction decay factor, represents the sub-region power adjustment factor, represents the feature power adjustment factor, represents the interaction power adjustment factor.

6. The tire design method for improving the sidewall thickness and enhancing the response of the tire center region according to claim 1, characterized in that, Based on the thickness adjustment values of all sub-areas in the first area and the reference thickness matrix of the sidewall, determine the optimized thickness matrix of the sidewall, including: ； where M represents the matrix of optimized carcass ply thickness, , respectively represent the 1st sub-region, the i-th sub-region, and the N1-th sub-region in the first region, and N1 represents the number of sub-regions in the first region, respectively represent the reference carcass ply thickness of the 1st sub-region, the i-th sub-region, and the N1-th sub-region in the first region, 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.

7. The tire design method for improving the sidewall thickness and enhancing the response of the tire center area according to claim 1, wherein Based on the optimized thickness matrix of the sidewall of the target vehicle's tire, determine the tire design scheme, including: Judge whether the optimized thickness matrix of the sidewall meets the tire central area response target. If not, readjust the optimized thickness matrix of the sidewall until the tire central area response target is met; Based on the optimized thickness matrix of the sidewall that meets the tire central area response target, determine the tire design scheme.

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