Tire design method to optimize sidewall thickness and improve the response of the tire's central region.

Description

1 / 26 Tire design method to optimize sidewall thickness and improve the response of the tire's central region. Field of invention

[0001] The present invention relates to the technical field of vehicle tires, in particular, it relates to a tire design method for optimizing sidewall thickness in order to improve the response of the central region of the tire. Background of the invention

[0002] Traditional tire design methods are primarily based on experimental data, adopting sidewall structure design with a fixed thickness distribution, generally unable to adequately consider the complex correlations between vehicle driving characteristics, usage environment, and tire performance. Especially in high-performance vehicles or special working conditions (such as high load, complex road conditions), the impact of sidewall thickness design on the response of the tire's central region (such as stiffness, deformation, stability) is often neglected or simplified, resulting in discrepancies between tire performance and actual needs.

[0003] In recent years, with the development of computational simulation technology and big data analysis, tire performance optimization methods have gradually shifted towards comprehensive analysis based on multidimensional data. Through in-depth research on sidewall strength, vehicle characteristics, and historical driving data, it is possible to further reveal the mechanism of influence of sidewall thickness on the response of the central region. However, existing optimization methods are mainly point optimizations, not forming dynamic adjustment mechanisms and closed-loop feedback, making it difficult to fully meet the diverse tire performance requirements in complex usage scenarios. Petition 870250059293, dated 11 / 07 / 2025, page 10 / 64 2 / 26

[0004] Therefore, the present invention provides a tire design method for optimizing sidewall thickness in order to improve the response of the central region of the tire. Summary of the invention

[0005] The present invention provides a tire design method for optimizing sidewall thickness to improve the response of the central region of the tire, by determining the driving characteristics vector of the target vehicle and the sidewall reference thickness matrix, analyzing sidewall force data, tire central region response data, vehicle driving characteristics vector and sidewall reference thickness matrix, determining the optimized sidewall thickness matrix of the target vehicle tire, and determining the tire design scheme. It is possible to optimize tire structure and performance, optimize tire durability and safety, perform fine-tuned tire thickness adjustment, improve tire-vehicle compatibility and dynamic performance, optimize adaptability, quality consistency and tire safety.

[0006] The present invention provides a tire design method for optimizing sidewall thickness to improve the response of the tire's central region, comprising: 101: Obtain sidewall force data from the target vehicle tire and response data from the center of the tire, obtain target vehicle information and historical driving information; 102: determine the driving characteristics vector of the target vehicle, determine the reference thickness matrix of the target vehicle's tire sidewall; 103: Based on sidewall strength data, tire center region response data, vehicle driving characteristics vector, and sidewall reference thickness matrix, determine the optimized sidewall thickness matrix. Petition 870250059293, dated 11 / 07 / 2025, page 11 / 64 3 / 26 sidewall of the target vehicle's tire; 104: Based on the optimized sidewall thickness matrix of the target vehicle tire, determine the tire design scheme.

[0007] According to the tire design method for optimizing sidewall thickness to improve the response of the tire's central region provided by the present invention, obtaining sidewall force data from the target vehicle tire and response data from the tire's central region, obtaining target vehicle information and historical driving information comprises: obtain information about the target vehicle, where vehicle information includes vehicle type and vehicle use; To obtain historical driving information for the target vehicle, where historical driving information includes historical road surface information and historical driving demands; Perform a division by regions of the target vehicle's tire, determine the first region of the target vehicle's tire, where the first region includes multiple sub-regions; Obtain subdivided sidewall force data and subdivided tire center region response data for each sub-region within the first region; Based on the sidewall strength data subdivided from all sub-regions in the first region, determine the sidewall strength data; simultaneously, based on the tire center region response data subdivided from all sub-regions in the first region, determine the tire center region response data.

[0008] According to the tire design method for optimizing sidewall thickness to improve the response of the central region of the tire provided by the present invention, determining the target vehicle's driving characteristics vector comprises: Petition 870250059293, dated 11 / 07 / 2025, page 12 / 64 4 / 26 Perform feature extraction from vehicle information, determine the vehicle feature vector, simultaneously perform feature extraction from historical driving demands, determine the driving feature vector; Based on the vehicle feature vector and the driving feature vector, determine the driving feature vector of the target vehicle.

[0009] According to the tire design method for optimizing sidewall thickness to improve the response of the central region of the tire provided by the present invention, determining the reference thickness matrix of the sidewall of the target vehicle tire comprises: Obtain vehicle tire sidewall thickness information from multiple production batches of the target vehicle, wherein the vehicle tire sidewall thickness information includes vehicle tire sidewall thickness sub-information from each production batch; Based on the first region and the tire sidewall thickness information, determine the reference sidewall thickness for each subregion within the first region. Based on all sub-regions in the first region and the reference sidewall thicknesses of all sub-regions, determine the reference sidewall thickness matrix for the target vehicle tire.

[0010] According to the tire design method for optimizing sidewall thickness to improve the response of the tire's central region provided by the present invention, based on sidewall force data, tire central region response data, vehicle driving characteristics vector, and sidewall reference thickness matrix, determining the optimized sidewall thickness matrix of the target vehicle tire comprises: Based on each subdivided lateral wall force data point, determine the corresponding regional force vector for each subdivision. Petition 870250059293, dated 11 / 07 / 2025, page 13 / 64 5 / 26 region in the first region; Based on each response data point from the central region of the tire subdivided into response data points from the central region of the tire, determine the response vector of the corresponding central subregion of each subregion in the first region. Simultaneously, based on all response data points from the central region of the tire subdivided into response data points from the central region of the tire, determine the response vector of the central region of the first region. Insert the regional force vectors of all sub-regions into the first region, the response vectors of the central sub-region, and the response vector of the central region of the first region into the lateral wall force-central region response correlation model. Based on the output of the lateral wall force-central region response correlation model, determine the correlation sequence of the sub-regions and the influence value of each sub-region in the first region on the response of the central region. Insert the vehicle driving characteristics vector, the response vectors of the central sub-region of all sub-regions in the first region, and the response vector of the central region of the first region into the vehicle driving-central region response correlation model. Based on the vehicle driving-central region response correlation model, determine the correlation sequence of the driving characteristics and the influence value of each characteristic in the vehicle driving characteristics vector on the central region response. Based on the correlation sequence of the sub-regions, the influence value of each sub-region on the first region's response to the central region, the correlation sequence of the driving characteristics, and the influence value of each characteristic in the vehicle's driving characteristics vector on the central region's response, determine the thickness adjustment value for each sub-region in the sidewall reference thickness matrix; Petition 870250059293, dated 11 / 07 / 2025, page 14 / 64 6 / 26 Based on the thickness adjustment values ​​of all sub-regions in the first region and the reference thickness matrix of the side wall, determine the optimized thickness matrix of the side wall.

[0011] According to the tire design method for optimizing sidewall thickness to improve the response of the central region of the tire provided by the present invention, based on the correlation sequence of the sub-regions, the influence value of each sub-region on the first region on the response of the central region, the correlation sequence of the driving characteristics, and the influence value of each characteristic in the vehicle's driving characteristics vector on the response of the central region, determining the thickness adjustment value for each sub-region in the sidewall reference thickness matrix comprises: Ahi = TA1 ^i + TA2 ΣΝΛΣk=1Wri·f1i - _ (tanh(r1-(N1-Ri+1))+1)51i i+e—tz·^—^1) 'TA, ^i^kWKkj^ik+Τ'^kWr-Uk;f2 f3ik = (ln(1+μ1·(N2-Qj+1))) 1+e-P2-(P-Qj+1) (1+e-^jRi-Rk|)£1+tanh(θ2|Ri-Rkl) where Ahi represents the thickness adjustment value of the i-th subregion in the first region, Wri represents the influence value of the i-th subregion in the first region on the response of the central region, fli represents the weight of the i-th subregion in the first region, Wfj represents the influence value of the j-th characteristic in the vehicle driving characteristic vector on the response of the central region, f2j represents the weight of the j-th characteristic in the vehicle driving characteristic vector, f3ik represents the interactive influence weight of the k-th subregion on the i-th subregion in the first region, Kkj· represents the Petition 870250059293, dated 11 / 07 / 2025, page 15 / 64 7 / 26 interactive influence value of the k-th sub-region and the i-th sub-region in the first region on the response of the central region, TA1 represents the thickness adjustment value of the sub-region, TA2 represents the thickness adjustment value of the feature, TA3 represents the interactive thickness adjustment value, Ri represents the order value of the i-th sub-region in the first region in the sub-region correlation sequence R, Qj represents the order value of the j-th feature in the vehicle driving feature vector in the driving feature correlation sequence Q, N2 represents the number of features in the vehicle driving feature vector, τ1 represents the growth factor of the sub-region, τ2 represents the decay factor of the sub-region, μ1 represents the growth factor of the feature, μ2 represents the decay factor of the feature, Θ1 represents the interactive growth factor,Θ2 represents the interactive decay factor, δ1 represents the sub-region power adjustment factor, δ2 represents the feature power adjustment factor, and s represents the interactive power adjustment factor.

[0012] According to the tire design method for optimizing sidewall thickness to improve the response of the central region of the tire provided by the present invention, determining the optimized sidewall thickness matrix based on the thickness adjustment values ​​of all sub-regions in the first region and the reference sidewall thickness matrix comprises: M = (, . A* “ . , Ai.. “ .. AN* ); h^ + Ah1... hbi + Ahi ... hbN1+ AhN1 / where M represents the optimized thickness matrix of the side wall, A1, Ai, AN1 represent respectively the 1st sub-region, the i-th sub-region and the N1st sub-region in the first region, N1 represents the number of sub-regions in the first region, hb1, hbi, hbN1 represent respectively the reference thicknesses of the side wall of the 1st sub-region, the i-th sub-region and the N1st sub-region in the first region. Petition 870250059293, dated 11 / 07 / 2025, page 16 / 64 8 / 26 region, Ah1, Ahi, AhN1 represent respectively 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 optimizing sidewall thickness to improve the response of the central region of the tire provided by the present invention, based on the optimized sidewall thickness matrix of the target vehicle tire, determining the tire design scheme comprises: evaluating whether the optimized sidewall thickness matrix satisfies the objective of response of the central region of the tire; if it does not satisfy it, readjusting the optimized sidewall thickness matrix until it satisfies the objective of response of the central region of the tire; based on the optimized sidewall thickness matrix that satisfies the objective of response of the central region of the tire, determining the tire design scheme.

[0014] Compared to the prior art, the beneficial effects of the present application are as follows: By determining the target vehicle's driving characteristics vector and the sidewall reference thickness matrix, analyzing sidewall force data, tire center region response data, vehicle driving characteristics vector, and sidewall reference thickness matrix, determining the optimized sidewall thickness matrix of the target vehicle tire, and determining the tire design scheme. It is possible to optimize tire structure and performance, optimize tire durability and safety, perform fine-tuned tire thickness adjustment, improve tire-vehicle compatibility and dynamic performance, optimize adaptability, quality consistency, and tire safety. Brief description of the drawings

[0015] To explain more clearly the technical solutions of the present invention or prior art, a brief introduction of the drawings necessary for the description of the embodiments or prior art will be made. Obviously, the drawings in the following description are some embodiments of the present invention. For a person Petition 870250059293, dated 11 / 07 / 2025, page 17 / 64 9 / 26 With common knowledge of the technique, other designs can still be obtained based on these designs without engaging in creative work.

[0016] Figure 1 is a schematic flow diagram of the tire design method for optimizing sidewall thickness to enhance the response of the tire's central region provided by the embodiments of the present invention. Detailed description of achievements

[0017] To make clearer the objectives, technical solutions and advantages of the present invention, a clear and complete description of the technical solutions of the present invention will be given below in combination with the drawings of the present invention. Obviously, the embodiments described are a part of the embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by a person with common knowledge of the art without exercising creative work fall within the scope of protection of the present invention. Mode 1

[0018] The embodiment of the present invention provides a tire design method for optimizing sidewall thickness and improving the response of the tire's central region, as shown in Figure 1, comprising: 101: Obtain sidewall force data from the target vehicle's tire and center region response data, obtain target vehicle information and historical driving information; 102: determine the driving characteristics vector of the target vehicle, determine the reference thickness matrix of the target vehicle's tire sidewall; 103: Based on sidewall strength data, center region response data, vehicle driving characteristics vector, and sidewall reference thickness matrix, determine the optimized sidewall thickness matrix for the target vehicle tire; Petition 870250059293, dated 11 / 07 / 2025, page 18 / 64 10 / 26 104: Based on the optimized sidewall thickness matrix of the target vehicle tire, determine the tire design scheme.

[0019] In this method, based on the reference thickness, combining force data, response data from the central region of the tire and vehicle driving characteristics, the thickness of each sub-region of the sidewall is optimized, finally forming the optimized sidewall thickness matrix.

[0020] In this embodiment, the tire design scheme is a comprehensive description of the tire design formed based on the optimized sidewall 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, material selection) to form a complete tire design scheme that satisfies both the core response objective and can adapt to the target vehicle's driving characteristics and actual usage needs.

[0022] Beneficial effects of the above technical solution: by determining the target vehicle's driving characteristics vector and the sidewall reference thickness matrix, analyzing sidewall force data, tire center region response data, vehicle driving characteristics vector and sidewall reference thickness matrix, determining the optimized sidewall thickness matrix of the target vehicle tire, and determining the tire design scheme. It is possible to optimize tire structure and performance, optimize tire durability and safety, perform fine-tuned tire thickness adjustment, improve tire-vehicle compatibility and dynamic performance, optimize adaptability, quality consistency and tire safety. Mode 2

[0023] The embodiment of the present invention provides a tire design method for optimizing sidewall thickness in order to improve the response of the region. Petition 870250059293, dated 11 / 07 / 2025, page 19 / 64 11 / 26 central tire. Obtaining sidewall force data from the target vehicle tire and response data from the central region of the tire, obtaining target vehicle information and historical driving information comprises: obtaining target vehicle information, where vehicle information includes vehicle type and vehicle use; obtaining historical driving information from the target vehicle, where historical driving information includes historical road surface information and historical driving demands; performing division by target vehicle tire regions, determining the first region of the target vehicle tire, where the first region includes multiple sub-regions; obtaining subdivided sidewall force data and subdivided central tire response data from each sub-region in the first region;Based on the subdivided sidewall strength data from all sub-regions in the first region, determine the sidewall strength data; simultaneously, based on the subdivided tire center region response data from all sub-regions in the first region, determine the tire center region response data.

[0024] In this modality, the vehicle type refers to the specific type of vehicle, for example, passenger cars, SUVs, trucks, etc., different types of vehicles have different performance needs for tires.

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

[0026] In this modality, historical road surface information refers to the types of road surfaces the vehicle frequently travels on (such as highways, urban roads, dirt roads, or gravel roads), reflecting the tire's wear, impact, and adaptability requirements for the road surface.

[0027] In this modality, historical driving demands refer to typical vehicle usage patterns (such as frequent braking, high-speed driving for Petition 870250059293, dated 11 / 07 / 2025, p. 20 / 64 12 / 26 long periods or frequent starts and stops on short trips), used to assess how the tire design should adapt to these needs.

[0028] In this mode, the tire is divided into several regions to allow for more precise analysis and optimization of different regions.

[0029] In this method, distributional collection of the lateral wall strength characteristics of the sub-regions is performed, including external force, internal stress, shear force, etc.

[0030] In this mode, the subdivided response data from the central region of the tire represents the response data of the sub-regions to external commands, including dynamic responsiveness and feedback characteristics, used to evaluate their sensitivity and adaptability.

[0031] In this mode, the subdivided sidewall strength data from all sub-regions in the first region are integrated to form the global sidewall strength data, reflecting the comprehensive sidewall strength support state.

[0032] In this mode, the response data from the central region of the tire subdivided from all sub-regions in the first region are integrated to form the global response data from the central region of the tire.

[0033] Beneficial effects of the above technical solution: by determining sidewall strength data, tire center region response data, vehicle information and historical driving information, it is possible to provide a database to determine the vehicle driving characteristics vector and the sidewall reference thickness matrix, improving tire adaptability and overall performance. Mode 3

[0034] The embodiment of the present invention provides a tire design method for optimizing sidewall thickness to improve the response of the central region of the tire. Determining the target vehicle's driving characteristics vector comprises: performing feature extraction from vehicle information, determining Petition 870250059293, dated 11 / 07 / 2025, page 21 / 64 13 / 26 the vehicle feature vector, simultaneously perform feature extraction from historical driving demands, determine the driving feature vector; based on the vehicle feature vector and the driving feature vector, determine the driving feature vector of the target vehicle.

[0035] In this modality, the vehicle feature vector is a set of quantified parameters extracted from vehicle information, used to characterize the basic characteristics and dynamic performance of the vehicle, and may include vehicle mass distribution characteristics: for example, 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 type: such as front-wheel drive, rear-wheel drive or all-wheel drive, etc. By extracting these characteristic parameters, a high-dimensional vector is formed, that is, the vehicle feature vector.

[0036] In this modality, the driving characteristics vector is a set of parameters extracted based on the vehicle's historical driving demands, used to quantify the real operating environment and vehicle usage habits. The content of the characteristic extraction may include road condition characteristics: proportion of different road surfaces (such as highways, urban roads, gravel roads, etc.); speed distribution characteristics: distribution of vehicle operating time in different speed ranges; braking and acceleration characteristics: including the number and frequency of frequent braking and sudden accelerations; steering characteristics: number of vehicle turns, angle change amplitude, etc. These data, after processing, constitute the vehicle's driving characteristics vector. Petition 870250059293, dated 11 / 07 / 2025, page 22 / 64 14 / 26

[0037] In this mode, vehicle feature vectors and driving feature vectors are merged using algorithms (such as weighted average, cluster analysis, etc.) to generate a vehicle driving feature vector that comprehensively reflects the inherent dynamic performance characteristics of the vehicle and the characteristics of the real operating environment.

[0038] Beneficial effects of the above technical solution: by determining the vector of driving characteristics of the target vehicle, it is possible to provide a database to determine the optimized thickness matrix of the sidewall of the target vehicle tire, improving tire-vehicle compatibility and dynamic performance. Mode 4

[0039] The embodiment of the present invention provides a tire design method for optimizing sidewall thickness to improve the response of the central region of the tire. Determining the reference sidewall thickness matrix of the target vehicle tire comprises: Obtain vehicle tire sidewall thickness information from multiple production batches of the target vehicle, wherein the vehicle tire sidewall thickness information includes vehicle tire sidewall thickness sub-information from each production batch; Based on the first region and the vehicle's tire sidewall thickness information, determine the reference sidewall thickness for each sub-region within the first region; Based on all sub-regions in the first region and the reference sidewall thicknesses of all sub-regions, determine the reference sidewall thickness matrix for the target vehicle tire.

[0040] In this mode, tires from different production batches may exhibit subtle differences in sidewall thickness due to processes, materials, or errors. Petition 870250059293, dated 11 / 07 / 2025, page 23 / 64 15 / 26 of manufacturing. For multiple production batches of the target vehicle, information related to sidewall thickness is collected.

[0041] In this mode, the sidewall thickness sub-information represents the specific sidewall thickness measurement values ​​of the tire for each sub-region in the first region in the corresponding production batch.

[0042] In this method, based on thickness data from all production batches within each sub-region, a reference thickness of the side wall is calculated, usually using statistical methods (such as weighted average, standardization, etc.) to represent the reference thickness of that region.

[0043] In this embodiment, the reference thickness matrix of the side wall is a 2*N1 matrix.

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

[0045] Beneficial effects of the above technical solution: by determining the reference thickness matrix of the target vehicle tire sidewall, it is possible to provide a database to determine the optimized thickness matrix of the target vehicle tire sidewall, improving tire quality consistency and safety of use. Mode 5

[0046] The embodiment of the present invention provides a tire design method for optimizing sidewall thickness to improve the response of the tire's central region. Based on sidewall force data, tire central region response data, vehicle driving characteristics vector, and sidewall reference thickness matrix, determining the optimized sidewall thickness matrix of the target vehicle tire comprises: Petition 870250059293, dated 11 / 07 / 2025, page 24 / 64 16 / 26

[0047] based on each side wall force data subdivided into side wall force data, determine the corresponding regional force vector of each subregion in the first region;

[0048] based on each response data from the central region of the tire subdivided into response data from the central region of the tire, determine the response vector of the corresponding central subregion of each subregion in the first region, simultaneously, based on all response data from the central region of the tire subdivided into response data from the central region of the tire, determine the response vector of the central region of the first region;

[0049] insert the regional force vectors of all sub-regions into the first region, response vectors of the central sub-region and the response vector of the central region of the first region into the lateral wall force-central region response correlation model, based on the output result of the lateral wall force-central region response correlation model, determine the correlation sequence of the sub-regions and the influence value of each sub-region in the first region on the response of the central region;

[0050] insert the vehicle driving characteristics vector, the central sub-region response vectors of all sub-regions in the first region and the central region response vector of the first region into the vehicle driving-central region response correlation model, based on the vehicle driving-central region response correlation model, determine the correlation sequence of the driving characteristics and the influence value of each characteristic in the vehicle driving characteristics vector on the central region response;

[0051] based on the correlation sequence of the sub-regions, the influence value of each sub-region in the first region on the response of the central region, the correlation sequence of the driving characteristics and the influence value of each characteristic in the vehicle driving characteristics vector on the response of Petition 870250059293, dated 11 / 07 / 2025, page 25 / 64 17 / 26 central region, determine the thickness adjustment value for each sub-region in the side wall reference thickness matrix;

[0052] based on the thickness adjustment values ​​of all sub-regions in the first region and the reference thickness matrix of the side wall, determine the optimized thickness matrix of the side wall.

[0053] Beneficial effects of the above technical solution: based on sidewall strength data, tire center region response data, vehicle driving characteristics vector and sidewall reference thickness matrix, by determining the optimized sidewall thickness matrix of the target vehicle tire, it is possible to optimize tire structure and performance, optimize overall tire performance, enhance tire durability and safety, and perform fine-tuned tire thickness adjustment. Mode 6

[0054] The embodiment of the present invention provides a tire design method for optimizing sidewall thickness to improve the response of the tire's central region. Based on sidewall force data, tire central region response data, vehicle driving characteristics vector, and sidewall reference thickness matrix, determining the optimized sidewall thickness matrix of the target vehicle tire comprises:

[0055] based on each side wall force data subdivided into side wall force data, determine the corresponding regional force vector of each subregion in the first region;

[0056] Based on each response data from the central region of the tire subdivided into the response data from the central region of the tire, determine the response vector of the corresponding central subregion of each subregion in the first region, simultaneously, based on all response data from the central region of the tire subdivided into Petition 870250059293, dated 11 / 07 / 2025, page 26 / 64 18 / 26 response data from the central region of the tire, determine the response vector of the central region of the first region;

[0057] insert the regional force vectors of all sub-regions into the first region, response vectors of the central sub-region and the response vector of the central region of the first region into the lateral wall force-central region response correlation model, based on the output result of the lateral wall force-central region response correlation model, determine the correlation sequence of the sub-regions and the influence value of each sub-region in the first region on the response of the central region;

[0058] insert the vehicle driving characteristics vector, the central sub-region response vectors of all sub-regions in the first region and the central region response vector of the first region into the vehicle driving-central region response correlation model, based on the vehicle driving-central region response correlation model, determine the correlation sequence of the driving characteristics and the influence value of each characteristic in the vehicle driving characteristics vector on the central region response;

[0059] based on the correlation sequence of the sub-regions, the influence value of each sub-region in the first region on the response of the central region, the correlation sequence of the driving characteristics and the influence value of each characteristic in the vehicle driving characteristics vector on the response of the central region, determine the thickness adjustment value for each sub-region in the sidewall reference thickness matrix;

[0060] Based on the thickness adjustment values ​​of all sub-regions in the first region and the reference thickness matrix of the side wall, determine the optimized thickness matrix of the side wall. Petition 870250059293, dated 11 / 07 / 2025, page 27 / 64 19 / 26

[0061] In this modality, the regional force vector represents the force distribution characteristics within that sub-region, reflecting the lateral wall force situation in real-world use.

[0062] In this mode, the response vector of the central sub-region reflects the response data of the impact of that sub-region on the overall performance of the tire.

[0063] In this mode, the response vector of the central region is obtained through the analysis and compilation of all response data from the central region of the tire subdivided into all sub-regions, obtaining the overall response vector of the entire first region, representing the overall performance response of that region.

[0064] In this mode, by inserting the regional force vectors, central sub-region response vectors and central region response vector into the sidewall force-central region response correlation model, the model output results include: sub-region correlation sequence: represents the relative importance of different sub-regions in the response; influence value of each sub-region on the central region response: reveals the magnitude of the contribution of each sub-region's force to the overall tire performance.

[0065] In this mode, by inserting the vehicle driving characteristics vector, central sub-region response vectors and central region response vector into the vehicle driving-central region response correlation model, the model output results include: driving characteristics correlation sequence: represents the relative influence of various driving characteristics on the central region response; influence value of each characteristic on the central region response: reveals the contribution of specific driving characteristics to the tire performance response under specific driving conditions.

[0066] In this modality, combining the correlation sequence of the sub-regions, the influence value of the sub-regions on the response of the central region, the correlation sequence of the conduction characteristics, and the influence value of the characteristics of Petition 870250059293, dated 11 / 07 / 2025, page 28 / 64 20 / 26 driving on the response of the central region, the thickness adjustment value of each sub-region is determined. Based on these adjustment values, combined with the reference thickness matrix of the side wall, the optimized thickness matrix of the side wall is obtained.

[0067] Beneficial effects of the above technical solution: based on sidewall strength data, tire center region response data, vehicle driving characteristics vector and sidewall reference thickness matrix, by determining the optimized sidewall thickness matrix of the target vehicle tire, it is possible to optimize tire structure and performance, optimize tire durability and safety, and perform fine-tuned tire thickness adjustment.

[0068] The embodiment of the present invention provides a tire design method for optimizing sidewall thickness to improve the response of the tire's central region. Based on the correlation sequence of the sub-regions, the influence value of each sub-region on the first region's response to the central region, the correlation sequence of the driving characteristics, and the influence value of each characteristic in the vehicle's driving characteristics vector on the central region's response, determining the thickness adjustment value for each sub-region in the sidewall reference thickness matrix comprises: Δhi= TA1 ^i + TA2 ΣΝΛ fk=iWri'f1i - _ (tanh(r1-(N1-Ri+1))+1)51ί 1 +e-t2-(M-Ri+1) 'TA, ^i^kWrj-Kkj·^+ vV^ <Wr-f3^;f2j = (ln(1+μ1·(N2-Qj+1))) 1+e-P2-(P-Qj+1) (1+e-θ1·|Ri-Rk|)εik1+tanh(02-|Rj-Rkl)'

[0069] where Δhί represents the thickness adjustment value of the i-th sub-region in the first region, Wri represents the influence value of the i-th sub-region in the first region on the response of the central region, fli represents the weight of the i-th sub-region Petition 870250059293, dated 11 / 07 / 2025, page 29 / 64 21 / 26 in the first region, Wfj represents the influence value of the j-th feature in the vehicle driving characteristics vector on the response of the central region, f2j represents the weight of the j-th feature in the vehicle driving characteristics vector, f3ik represents the interactive influence weight of the k-th sub-region on the i-th sub-region in the first region, Kkj represents the interactive influence value between the k-th sub-region and the i-th sub-region in the first region on the response of the central region, TA1 represents the thickness adjustment value of the sub-region, TA2 represents the thickness adjustment value of the feature, TA3 represents the interactive thickness adjustment value, Ri represents the order value of the i-th sub-region in the first region in the correlation sequence of the sub-regions R,Qj represents the order value of the j-th feature in the vehicle's driving characteristics vector in the Q-correlation sequence of driving characteristics, N2 represents the number of features in the vehicle's driving characteristics vector, τ1 represents the sub-region growth factor, τ2 represents the sub-region decay factor, μ1 represents the feature growth factor, μ2 represents the feature decay factor, Θ1 represents the interactive growth factor, Θ2 represents the interactive decay factor, δ1 represents the sub-region power adjustment factor, δ2 represents the feature power adjustment factor, and ε represents the interactive power adjustment factor.

[0070] In this mode, the sub-region growth factor controls the growth rate of the hyperbolic tangent function in f1i, the sub-region decay factor controls the decay rate of the exponential function in f1i, controlling respectively the acceleration of growth and the decay rate of the correlation sequence of the sub-regions on the weight. Petition 870250059293, dated 11 / 07 / 2025, page 30 / 64 22 / 26

[0071] In this mode, the growth factor of the trait controls the growth rate of the logarithmic function in f2j, the decay factor of the trait controls the decay rate of the exponential decay function in f2j, respectively controlling the strengthening and weakening effect of the correlation sequence of driving traits on weight.

[0072] In this mode, the interactive growth factor controls the growth of the exponential function in f3ik, the interactive decay factor controls the decay rate of the hyperbolic tangent function in f3ik, used to adjust the strengthening or weakening effect of the ranking difference on the interactive influence.

[0073] Beneficial effects of the above technical solution: based on the correlation sequence of the sub-regions, on the influence value of each sub-region in the first region on the response of the central region, on the correlation sequence of the driving characteristics and on the influence value of each characteristic in the vehicle's driving characteristics vector on the response of the central region, determining the thickness adjustment value for each sub-region in the sidewall reference thickness matrix, it is possible to provide a database to determine the optimized sidewall thickness matrix, performing the refined adjustment of the tire thickness. Mode 7

[0074] The embodiment of the present invention provides a tire design method for optimizing sidewall thickness to improve the response of the tire's central region. Based on the thickness adjustment values ​​of all sub-regions in the first region and the sidewall reference thickness matrix, determining the optimized sidewall thickness matrix comprises: M=( A1. hb1 + Δh1 There AN1 ... hbi + Δhi... hbN1+ ΔhN1 Petition 870250059293, dated 11 / 07 / 2025, page 31 / 64 23 / 26

[0075] where M represents the optimized side wall thickness matrix, A1, Ai, AN1 represent respectively the 1st sub-region, the i-th sub-region and the N1-th sub-region in the first region, N1 represents the number of sub-regions in the first region, hb1 , hbi , hbN1 represent respectively the reference thicknesses of the side wall of the 1st sub-region, the i-th sub-region and the N1-th sub-region in the first region, Δh1, Δhi, ΔhN1 represent respectively the thickness adjustment values ​​of the 1st sub-region, the i-th sub-region and the N1-th sub-region in the first region.

[0076] In this embodiment, hb1 + Δh1, hb1 + Δh1, hbN1+ ΔhN1 represent respectively the optimized thickness values ​​of the ia sub-region, the i-th sub-region and the N1-th sub-region in the first region.

[0077] 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, by determining the optimized sidewall thickness matrix, it is possible to provide a database to determine the tire design scheme, optimize the tire structure and performance, and optimize tire durability and safety. Mode 8

[0078] The embodiment of the present invention provides a tire design method for optimizing sidewall thickness to improve the response of the central region of the tire. Based on the optimized sidewall thickness matrix of the target vehicle tire, determining the tire design scheme comprises:

[0079] evaluate whether the optimized sidewall thickness matrix satisfies the target response of the central region of the tire, if it does not satisfy it, readjust the optimized sidewall thickness matrix until it satisfies the target response of the central region of the tire; Petition 870250059293, dated 11 / 07 / 2025, page 32 / 64 24 / 26

[0080] Based on the optimized sidewall thickness matrix that satisfies the tire center region response objective, determine the tire design scheme.

[0081] In this embodiment, the optimized sidewall thickness matrix is ​​the result of optimization obtained through analysis of sidewall force data, tire center region response data, and vehicle driving characteristics vector. However, this matrix needs to be verified to determine if it can achieve the predefined tire center region response objective. The tire center region response objective refers to the performance indicators that the tire must achieve under specific design conditions (such as stiffness, stability, deformation characteristics, etc.).By inserting the optimized sidewall thickness matrix into the corresponding performance simulation model or test environment, the response of the central region of the tire corresponding to this matrix is ​​calculated and compared with predefined target values ​​to assess whether it meets the design requirements. If it does not meet the requirements, a new adjustment is made to the optimized sidewall thickness matrix, re-optimizing the thickness values ​​of each sub-region until the output performance of the optimization matrix is ​​consistent with the predefined target.

[0082] In this mode, when the optimized sidewall thickness matrix, after adjustments, has its output performance reaching the predefined target response of the central region of the tire, this matrix can be used as the final optimization result that meets the performance requirements.

[0083] In this mode, the optimized final sidewall thickness matrix that meets the requirements is used as the central design parameter, combined with other tire structure designs (such as tread thickness, pattern design, etc.), to determine the overall tire design scheme.

[0084] Beneficial effects of the above technical solution: based on the optimized thickness matrix of the target vehicle tire sidewall, determining the design scheme. Petition 870250059293, dated 11 / 07 / 2025, page 33 / 64 With a 25 / 26 tire, it's possible to optimize the precision level of the tire design, ensure critical tire performance such as stiffness and stability, and optimize the design's flexibility and adaptability.

[0085] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one place or may also be distributed across multiple network units. Some or all of the modules may be selected as needed to implement the purpose of this embodiment. A person with ordinary knowledge of the art can understand and implement it without performing creative work.

[0086] Through the description of the above embodiments, technicians in the field can clearly understand that each embodiment can be implemented by means of software plus the necessary general hardware platform, and naturally can also be implemented by means of hardware. Based on this understanding, the essential part of the above technical solution or the part that contributes to the previous technique can be incorporated in the form of a software product; this computer software product can be stored on computer-readable storage media such as ROM / RAM, magnetic disk, optical disk, etc., including various instructions to make a computer device (which may be a personal computer, server or network device, etc.) execute the method described in each embodiment or some parts of the embodiments.

[0087] Finally, it should be clarified that: the above embodiments are used only to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the previous embodiments, a person with common knowledge of the art should understand that: it is still possible to modify the technical solutions registered in Petition 870250059293, dated 11 / 07 / 2025, p. 34 / 64 26 / 26 previous embodiments, or make equivalent substitutions for some technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of each embodiment of the present invention. Petition 870250059293, dated 11 / 07 / 2025, p. 35 / 64

Claims

1 / 6 CLAIMS 1. Tire design method for optimizing sidewall thickness to improve the response of the central region of the tire, CHARACTERIZED in that it comprises: 101: obtaining sidewall force data of the target vehicle tire and response data of the central region of the tire, obtaining target vehicle information and historical driving information; 102: determining the driving characteristics vector of the target vehicle, determining the reference sidewall thickness matrix of the target vehicle tire; 103: based on the sidewall force data, response data of the central region of the tire, driving characteristics vector of the vehicle and reference sidewall thickness matrix, determining the optimized sidewall thickness matrix of the target vehicle tire; 104: based on the optimized sidewall thickness matrix of the target vehicle tire, determining the tire design scheme;wherein step 103 comprises: performing a division by regions of the target vehicle tire, determining the first region of the target vehicle tire, where the first region includes multiple sub-regions; based on each sidewall force data subdivided into sidewall force data, determining the corresponding regional force vector of each sub-region in the first region; based on each center region response data subdivided into center region response data, determining the corresponding center sub-region response vector of each sub-region in the first region, simultaneously, based on all center region response data subdivided into center region response data, determining the center region response vector of the first region;Insert the regional force vectors of all sub-regions into the first region, the response vectors of the central sub-region, and the response vector of the central region of the first region into the lateral wall force-central region response correlation model. Based on the output of the lateral wall force-central region response correlation model, determine the correlation sequence of the sub-regions and the influence value of each sub-region in the first region on the response of the central region.Insert the vehicle driving characteristics vector, the response vectors of the central subregion of all subregions in the first region, and the response vector of the central region of the first region into the vehicle driving-central region response correlation model. Based on the vehicle driving-central region response correlation model, determine the correlation sequence of the driving characteristics and the influence value of each characteristic in the vehicle driving characteristics vector on the central region response.Based on the correlation sequence of the sub-regions, the influence value of each sub-region in the first region on the response of the central region, the correlation sequence of the driving characteristics, and the influence value of each characteristic in the vehicle's driving characteristics vector on the response of the central region, determine the thickness adjustment value for each sub-region in the side wall reference thickness matrix; based on the thickness adjustment values ​​of all sub-regions in the first region and the side wall reference thickness matrix, determine the optimized side wall thickness matrix.

2. Tire design method for optimizing sidewall thickness to improve the response of the central region of the tire according to claim 1, CHARACTERIZED by the fact that obtaining tire sidewall strength data from Petition 870250059293, dated 11 / 07 / 2025, page 1.37 / 64 3 / 6 Target vehicle and tire center region response data, obtaining target vehicle information and historical driving information comprises: obtaining target vehicle information, wherein vehicle information includes vehicle type and vehicle use; obtaining historical driving information of the target vehicle, wherein historical driving information includes historical road surface information and historical driving demands; obtaining subdivided sidewall force data and subdivided tire center region response data from each sub-region in the first region; based on the subdivided sidewall force data from all sub-regions in the first region, determining the sidewall force data, simultaneously, based on the subdivided tire center region response data from all sub-regions in the first region, determining the tire center region response data.

3. Tire design method for optimizing sidewall thickness to improve the response of the central region of the tire according to claim 1, CHARACTERIZED in that determining the driving characteristics vector of the target vehicle comprises: performing feature extraction from vehicle information, determining the vehicle characteristics vector, simultaneously performing feature extraction from historical driving demands, determining the driving characteristics vector; based on the vehicle characteristics vector and the driving characteristics vector, determining the driving characteristics vector of the target vehicle.

4. Tire design method for optimizing sidewall thickness to improve the response of the central region of the tire according to claim 2, CHARACTERIZED in that determining the reference thickness matrix of the sidewall of the target vehicle tire comprises: Petition 870250059293, dated 11 / 07 / 2025, p.38 / 64 4 / 6 Obtain vehicle tire sidewall thickness information from multiple production batches of the target vehicle, wherein the vehicle tire sidewall thickness information includes vehicle tire sidewall thickness sub-information from each production batch; based on the first region and the vehicle tire sidewall thickness information, determine the reference sidewall thickness of each sub-region in the first region; based on all sub-regions in the first region and the reference sidewall thicknesses of all sub-regions, determine the reference sidewall thickness matrix of the target vehicle tire.

5. Tire design method for optimizing sidewall thickness to improve the response of the central region of the tire according to claim 1, CHARACTERIZED in that, based on the correlation sequence of the subregions, the influence value of each subregion in the first region on the response of the central region, the correlation sequence of the driving characteristics and the influence value of each characteristic in the vehicle's driving characteristics vector on the response of the central region, determining the thickness adjustment value for each subregion in the sidewall reference thickness matrix comprises: Δhi = TA1 ^i + TA2 ΣNΛ ik^WrifJ-i - _ (tanh(r1-(N1-Ri+1))+1)51 i 1+e-T2'(M-Ri+1) ' TA, IkTjzkWiTlVj-llk + ZL11,j^kWri-f3ik;f2j = (ln(1+μ1·(N2-Qj+1))) 1+e^2.(P—Qj+1) (1+e-θ1·|Ri-Rk|)εik 1+tanh(02-|Rj-Rkl)' where Δhi represents the thickness adjustment value of the i-th sub-region in the first region,Wri represents the influence value of the i-th sub-region in the first region on the response of the central region, fli represents the weight of the i-th sub-region in Petition 870250059293, dated 11 / 07 / 2025, page 1. 39 / 64 5 / 6 first region, Wfj represents the influence value of the j-th feature in the vehicle's driving characteristics vector on the response of the central region, f2j represents the weight of the j-th feature in the vehicle's driving characteristics vector, f3ik represents the interactive influence weight of the k-th sub-region on the i-th sub-region in the first region, Kkj represents the interactive influence value between the k-th sub-region and the i-th sub-region in the first region on the response of the central region, TA1 represents the thickness adjustment value of the sub-region, TA2 represents the thickness adjustment value of the feature, TA3 represents the interactive thickness adjustment value,Ri represents the order value of the i-th sub-region in the first region in the sub-region correlation sequence R, Qj represents the order value of the j-th feature in the vehicle driving feature vector in the driving feature correlation sequence Q, N2 represents the number of features in the vehicle driving feature vector, τ1 represents the sub-region growth factor, τ2 represents the sub-region decay factor, μ1 represents the feature growth factor, μ2 represents the feature decay factor, Θ1 represents the interactive growth factor, Θ2 represents the interactive decay factor, δ1 represents the sub-region power adjustment factor, δ2 represents the feature power adjustment factor, ε represents the interactive power adjustment factor.

6. Tire design method for optimizing sidewall thickness to improve the response of the central region of the tire according to claim 1, CHARACTERIZED in that, based on the thickness adjustment values ​​of all sub-regions in the first region and the reference sidewall thickness matrix, determining the optimized sidewall thickness matrix comprises: Petition 870250059293, dated 11 / 07 / 2025, page 40 / 64 6 / 6 M = (., A1.. “ , , A1., “ ., AN1.. ); \ hb, + Δh1 ... hbi + Ahi ...hbN1 + AhN1 / where M represents the optimized thickness matrix of the side wall, A1, Ai, AN1 represent respectively the 1st sub-region, the i-th sub-region and the N1-th sub-region in the first region, N1 represents the number of sub-regions in the first region, hb1, hbi, hbN1 represent respectively the reference thicknesses of the side wall of the 1st sub-region, the i-th sub-region and the N1-th sub-region in the first region, Ah1, Ahi, AhN1 represent respectively 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. Tire design method for optimizing sidewall thickness to improve the response of the tire's central region according to claim 1, CHARACTERIZED in that, based on the optimized sidewall thickness matrix of the target vehicle tire, determining the tire design scheme comprises: evaluating whether the optimized sidewall thickness matrix satisfies the objective of the tire's central region response; if not, readjusting the optimized sidewall thickness matrix until it satisfies the objective of the tire's central region response; based on the optimized sidewall thickness matrix that satisfies the objective of the tire's central region response, determining the tire design scheme. Petition 870250059293, dated 11 / 07 / 2025, pp. 41 / 64

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