Method and device for determining pitch misalignment distance of tire ribs

Abstract

This application discloses a method and apparatus for determining the pitch misalignment distance of a tire rib. The method includes: randomly generating multiple pitch misalignment distances for a target tire, and encoding these distances to obtain multiple misalignment information sequences; collecting a noise peak evaluation index and a noise fluctuation evaluation index corresponding to each misalignment information sequence, wherein the noise peak evaluation index is used to evaluate the highest intensity of tire noise, and the noise fluctuation evaluation index is used to evaluate the degree of fluctuation of tire noise amplitude with frequency; determining the multiple misalignment information sequences as an initial population, and determining the population fitness value based on the noise peak evaluation index and the noise fluctuation evaluation index; and determining a target individual based on the population fitness value and the initial population, wherein the target individual represents the finally determined target pitch misalignment distance.

Description

Technical Field

[0001] This application relates to the field of tire design technology, and more specifically, to a method and apparatus for determining the pitch misalignment distance of tire ribs. Background Technology

[0002] As the automotive industry accelerates its development towards intelligence and electrification, tire noise control has become a key issue in improving driving comfort and optimizing NVH (Noise, Vibration, and Harshness) performance. Existing research shows that tire noise mainly consists of three parts: aerodynamic noise (generated by airflow separation during high-speed driving), vibration noise (caused by resonance of the tire's internal structure), and tread noise (generated by tire contact with the ground). Among these, tire tread noise, accounting for 60%-70% of the overall tire noise, is essentially the vibration noise caused by the periodic impact of tire tread blocks on the ground during rolling. This noise characteristic is not only closely related to tread parameters (such as groove depth, width, and angle) and pitch parameters (tread block arrangement), but also exhibits significant dynamic changes under specific pitch arrangements due to the misalignment effect between different ribs. Studies have shown that rib misalignment leads to uneven distribution of tread block contact area and interference of vibration sound waves, thereby causing abnormal shifts in the noise spectrum and significantly enhancing the noise energy in specific frequency bands. Traditional techniques often oversimplify the pitch contact process using the Dirac impulse function, characterizing it as an instantaneous excitation. While this model is computationally convenient, it completely ignores the fact that the tread grooves with specific angles generate a continuous time-domain acoustic signal when they contact the road surface during rolling motion. This fundamental simplification at the model level leads to a significant discrepancy between computer simulation data and the actual noise spectrum generated by the tire, severely limiting the accuracy of predictions during the design phase. Furthermore, traditional pitch arrangement optimization methods inherently suffer from insufficient synergy. Their optimization scope is mostly limited to the sequence adjustment within a single rib, failing to effectively utilize the destructive acoustic interference effect caused by the circumferential misalignment between multiple ribs. This "lone wolf" optimization mode has a single dimension and cannot achieve a globally optimal noise reduction solution at the overall tire sound field level. Summary of the Invention

[0003] This application provides a method and apparatus for determining the pitch misalignment distance of a tire rib, to at least solve the technical problem of excessive tire tread noise in related technologies. According to one aspect of this application, a method for determining the pitch misalignment distance of a tire rib is provided, comprising: randomly generating multiple tire pitch misalignment distances for a target tire, and encoding the multiple tire pitch misalignment distances respectively to obtain multiple misalignment information sequences; collecting a noise peak evaluation index and a noise fluctuation evaluation index corresponding to each misalignment information sequence in the multiple misalignment information sequences, wherein the noise peak evaluation index is used to evaluate the highest intensity of tire noise, and the noise fluctuation evaluation index is used to evaluate the degree of fluctuation of tire noise amplitude with frequency; determining the multiple misalignment information sequences as an initial population, and determining a population fitness value based on the noise peak evaluation index and the noise fluctuation evaluation index; determining a target individual based on the population fitness value and the initial population, wherein the target individual represents the finally determined target pitch misalignment distance.

[0004] Optionally, the pitch misalignment distances of the various tires are encoded to obtain multiple misalignment information sequences, including: obtaining the number of ribs contained in the target tire, and determining the number of pitch misalignment distances based on the number of ribs; obtaining the number of encoding bits for the pitch misalignment distance, and determining the number of bits for the misalignment information sequence based on the number of encoding bits for the pitch misalignment distance and the number of pitch misalignment distances; encoding the pitch misalignment distances of the target tire according to the number of bits in the misalignment information sequence to obtain the misalignment information sequence.

[0005] Optionally, the noise peak evaluation index for each misalignment information sequence corresponding to the tire is collected, including: collecting time-domain signals generated at all positions on the tire when the tire rolls one revolution; integrating the time-domain signals generated at all positions on the tire to obtain the time-domain signal of the tire tread groove; performing a Fourier transform on the time-domain signal of the tire tread groove to obtain the order noise spectrum amplitude; obtaining the maximum and minimum values ​​of the order noise spectrum amplitude from the current population, and determining the noise peak evaluation index based on the maximum and minimum values.

[0006] Optionally, the noise fluctuation evaluation index generated by the tire corresponding to each misaligned information sequence in the plurality of misaligned information sequences is collected, including: obtaining the standard deviation of the order noise spectrum amplitude from the current population; and determining the standard deviation of the order noise spectrum amplitude as the noise fluctuation evaluation index.

[0007] Optionally, determining the population fitness value based on the noise peak evaluation index and the noise fluctuation evaluation index includes: obtaining the weighting coefficients of the noise peak evaluation index and the noise fluctuation evaluation index respectively; determining the weighted sum of the noise peak evaluation index and the noise fluctuation evaluation index based on the weighting coefficients; and determining the population fitness value based on the weighted sum.

[0008] Optionally, determining the target individual based on the population fitness value and the initial population includes: sequentially performing crossover and mutation operations on each individual in the initial population to obtain a progeny population; determining the circumference of the target tire based on the pitch misalignment distance corresponding to the progeny population; if the circumference of the target tire is not equal to the original circumference, adjusting the pitch misalignment distance corresponding to the progeny population until the circumference of the target tire is equal to the original circumference, thus obtaining the current population; and selecting the individual with the highest fitness from the current population as the target individual.

[0009] Optionally, crossover and mutation operations are performed sequentially on each individual in the initial population to obtain the offspring population, including: randomly generating crossover points in the misaligned information sequences corresponding to different individuals in the initial population; cross-replacing the information sequences before and after the crossover points to obtain crossover individuals; and replacing the internode misalignment distance corresponding to random position points in the crossover individuals with random internode misalignment distances to obtain individuals in the offspring population.

[0010] According to another aspect of the embodiments of this application, a device for determining the pitch misalignment distance of a tire rib is also provided, comprising: an encoding module, configured to randomly generate multiple tire pitch misalignment distances of a target tire, and encode the multiple tire pitch misalignment distances respectively to obtain multiple misalignment information sequences; an acquisition module, configured to acquire a noise peak evaluation index and a noise fluctuation evaluation index generated by the tire corresponding to each of the multiple misalignment information sequences, wherein the noise peak evaluation index is used to evaluate the highest intensity of tire noise, and the noise fluctuation evaluation index is used to evaluate the degree of fluctuation of tire noise amplitude with frequency; a first determination module, configured to determine the multiple misalignment information sequences as an initial population, and determine the population fitness value according to the noise peak evaluation index and the noise fluctuation evaluation index; and a second determination module, configured to determine a target individual according to the population fitness value and the initial population, wherein the target individual represents the finally determined target pitch misalignment distance.

[0011] According to another aspect of the embodiments of this application, a computer device is also provided, including: a memory and a processor, wherein the memory is used to store program instructions; and the processor, connected to the memory, is used to execute the above-described method for determining the pitch misalignment distance of tire ribs.

[0012] According to another aspect of the embodiments of this application, a computer program product is also provided, including computer instructions that, when executed by a processor, implement the above-described method for determining the pitch misalignment distance of tire ribs.

[0013] In this embodiment, the pitch misalignment distances of multiple tires for the target tire are randomly generated, and each pitch misalignment distance is encoded to obtain multiple misalignment information sequences. The noise peak evaluation index and noise fluctuation evaluation index corresponding to each misalignment information sequence are collected. The noise peak evaluation index is used to evaluate the highest intensity of tire noise, and the noise fluctuation evaluation index is used to evaluate the degree of fluctuation of tire noise amplitude with frequency. The multiple misalignment information sequences are determined as an initial population, and the population fitness value is determined based on the noise peak evaluation index and the noise fluctuation evaluation index. Target individuals are determined based on the population fitness value and the initial population, where the target individual represents the finally determined target pitch misalignment distance. By encoding the pitch misalignment distances of multiple tires for the target tire and processing the encoded misalignment information sequences using a genetic algorithm, the optimal pitch misalignment distance is selected to arrange the tire pitches. This achieves the goal of accurately selecting a pitch arrangement with lower noise, thereby reducing tire noise and solving the technical problem of excessive tire tread noise in related technologies. Attached Figure Description

[0014] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0015] Figure 1 This is a hardware structure block diagram of a computer terminal for implementing a method for determining the pitch misalignment distance of tire ribs according to an embodiment of this application.

[0016] Figure 2 This is a flowchart of a method for determining the pitch misalignment distance of tire ribs according to an embodiment of this application;

[0017] Figure 3 This is a flowchart of another method for determining the pitch misalignment distance of tire ribs according to an embodiment of this application;

[0018] Figure 4 This is a schematic diagram of a pitch misalignment distance encoding according to an embodiment of this application;

[0019] Figure 5 This is a schematic diagram of a pitch order noise spectrum according to an embodiment of this application;

[0020] Figure 6 This is a schematic diagram of a cross-genetic process according to an embodiment of this application;

[0021] Figure 7 This is a schematic diagram of a variation process according to an embodiment of this application;

[0022] Figure 8 This is a comparison diagram of Case 1 before and after optimization in the embodiments of this application;

[0023] Figure 9 This is a comparison diagram of Case 2 before and after optimization in the embodiments of this application;

[0024] Figure 10 This is a structural diagram of a device for determining the pitch misalignment distance of tire ribs according to an embodiment of this application. Detailed Implementation

[0025] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0026] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0027] The information collected in this application embodiment is information and data authorized by the user or fully authorized by all parties. The collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data all comply with the relevant laws, regulations and standards of the relevant regions, and necessary confidentiality measures have been taken. It does not violate public order and good morals, and provides corresponding operation entry points for users to choose to authorize or reject the automated decision results. If the user chooses to reject, the process will proceed to the expert decision-making process.

[0028] To address the problems existing in related technologies, this application provides a method for determining the pitch misalignment distance of tire ribs. This method can be implemented in... Figure 1 The computer terminal shown is explained below.

[0029] The method for determining the pitch misalignment distance of tire ribs provided in this application can be executed on a mobile terminal, computer terminal, or similar computing device. Figure 1 A hardware block diagram of a computer terminal for implementing a method to determine the pitch misalignment distance of tire ribs is shown. Figure 1 As shown, the computer terminal 10 may include one or more processors (shown as 102a, 102b, ..., 102n in the figure) (the processor may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 104 for storing data, and a transmission module 106 for communication functions connected via wired and / or wireless networks. In addition, it may also include: a display, a keyboard, a cursor control device, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the I / O interface), a network interface, and a BUS bus. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the aforementioned electronic device. For example, computer terminal 10 may also include... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0030] It should be noted that the aforementioned one or more processors and / or other data processing circuits are generally referred to herein as "data processing circuits". These data processing circuits may be embodied, in whole or in part, in software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuits may be a single, independent processing module, or may be integrated, in whole or in part, into any other element within the computer terminal 10. As involved in the embodiments of this application, the data processing circuits serve as a processor control mechanism (e.g., selection of a variable resistor termination path connected to an interface).

[0031] The memory 104 can be used to store software programs and modules for application software, such as the program instructions / data storage device corresponding to the method for determining the pitch misalignment distance of tire ribs in this embodiment. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory 104, thereby realizing the aforementioned method for determining the pitch misalignment distance of tire ribs. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor, and these remote memories can be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0032] The transmission module 106 is used to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by the communication provider of the computer terminal 10. In one example, the transmission module 106 includes a network interface controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission module 106 may be a radio frequency (RF) module, used for wireless communication with the Internet.

[0033] The display can be, for example, a touchscreen liquid crystal display (LCD) that allows the user to interact with the user interface of the computer terminal 10.

[0034] It should be noted here that, in some optional embodiments, the above... Figure 1 The computer terminal shown may include hardware elements (including circuitry), software elements (including computer code stored on a computer-readable medium), or a combination of both hardware and software elements. It should be noted that... Figure 1 This is only one instance of a specific particular instance, and is intended to illustrate the types of components that may exist in the aforementioned computer terminal.

[0035] Under the above operating environment, this application provides an embodiment of a method for determining the pitch misalignment distance of tire ribs. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0036] Figure 2This is a flowchart of a method for determining the pitch misalignment distance of tire ribs according to an embodiment of this application, as shown below. Figure 2 As shown, the method includes the following steps:

[0037] Step S202: Randomly generate the pitch misalignment distances of multiple tires of the target tire, and encode the pitch misalignment distances of the multiple tires respectively to obtain multiple misalignment information sequences;

[0038] It's important to clarify that tire pitch misalignment refers to the distance between the tread pitches of different ribs (or shoulders) on the same tire relative to the tire's circumference, as designed in the tire's configuration. This misalignment is designed to reduce or eliminate noise and vibration at specific frequencies generated during tire rotation. When a tire rolls, each tread block contacts the ground, generating forces that produce sound and vibration. If all the tread pitches of the tire's ribs are aligned, then whenever one tread block contacts the ground, similar tread blocks on other ribs at the same circumference will also contact the ground almost simultaneously. This results in the forces and sound waves generated at the same time being superimposed, producing noticeable noise and vibration at specific frequencies. By adjusting the pitch misalignment between the tread blocks on different ribs, the contact points of the tread blocks are staggered. Tread blocks on different ribs will not contact the ground at exactly the same time, causing the forces and sound waves generated by each tread block to overlap in time. This reduces the synchronous superposition of forces and sound waves, effectively lowering the peak noise level and vibration intensity, thus improving the tire's NVH performance.

[0039] Step S204: Collect the noise peak evaluation index and noise fluctuation evaluation index of the tire corresponding to each misaligned information sequence in the plurality of misaligned information sequences, wherein the noise peak evaluation index is used to evaluate the highest intensity of tire noise, and the noise fluctuation evaluation index is used to evaluate the degree of fluctuation of tire noise amplitude with frequency.

[0040] Step S206: Determine the multiple misalignment information sequences as the initial population, and determine the population fitness value according to the noise peak evaluation index and the noise fluctuation evaluation index;

[0041] Step S208: Determine the target individual based on the population fitness value and the initial population, wherein the target individual is used to represent the final determined target pitch misalignment distance.

[0042] Through steps S202 to S208 above, the pitch misalignment distances of multiple tires for the target tire are randomly generated, and the pitch misalignment distances of the multiple tires are encoded to obtain multiple misalignment information sequences; the noise peak evaluation index and noise fluctuation evaluation index generated by the tire corresponding to each misalignment information sequence are collected respectively, wherein the noise peak evaluation index is used to evaluate the highest intensity of tire noise, and the noise fluctuation evaluation index is used to evaluate the degree of fluctuation of tire noise amplitude with frequency; the multiple misalignment information sequences are determined as the initial population, and based on the noise... The peak performance index and the noise fluctuation index determine the population fitness value; based on the population fitness value and the initial population, a target individual is determined, wherein the target individual represents the finally determined target pitch misalignment distance. By encoding the pitch misalignment distances of various tires of the target tire, and processing the encoded misalignment information sequence using a genetic algorithm, the optimal pitch misalignment distance is selected to arrange the tire pitches, achieving the goal of accurately selecting a pitch arrangement with lower noise, thereby achieving the technical effect of reducing tire noise and solving the technical problem of excessive tire tread noise in related technologies. A detailed explanation follows.

[0043] In some embodiments of this application, the specific steps for encoding the pitch misalignment distances of the various tires to obtain multiple misalignment information sequences are as follows: obtaining the number of ribs contained in the target tire, and determining the number of pitch misalignment distances based on the number of ribs; obtaining the number of encoding bits for the pitch misalignment distance, and determining the number of bits for the misalignment information sequence based on the number of encoding bits for the pitch misalignment distance and the number of pitch misalignment distances; encoding the pitch misalignment distances of the target tire according to the number of bits in the misalignment information sequence to obtain the misalignment information sequence.

[0044] like Figure 3 As shown, the pitches are sorted according to their length from smallest to largest and encoded sequentially as positive integers such as 1, 2, 3, 4, etc. For example, for an arrangement containing 3 different pitch lengths and a total of 30 pitches, one possible arrangement is as shown in "11223211123223133211123221123". In this encoding system, each number represents a pitch of a specific length, and the entire sequence of numbers constitutes a complete pitch arrangement, such as... Figure 4 As shown, two pitch arrangement forms are presented.

[0045] The pitch misalignment distance of the ribs is encoded, with Nr representing the number of ribs. The pitch misalignment distance of a single rib is encoded as nr bits. Therefore, for a tire with Nr ribs, the misalignment distance of its ribs is encoded as Nr. Using nr-bit binary encoding, taking a 15-bit binary code for the misalignment distance as an example, such as 001001010010011, its decimal equivalent is 4755. Taking the tire circumference as the maximum misalignment distance, the misalignment distance represented by this binary code is: 4755 / 2^15 × L, where L is the tire circumference. Using a 4-rib tire as a reference, there will be 4 misalignment distances, using a 60-bit binary code, with each 15 bits representing one misalignment distance.

[0046] Considering the groove angle and combining it with the pitch parameter, the groove is simplified, and the corresponding... ,in, This represents the circumferential position information on the angled groove, where y represents the position along the meridian direction. Corresponding to the center position of different pitches, The groove angle.

[0047] For a ribbed tire (target tire), there is a misalignment distance between its ribs. Assume the misalignment distances of a 4-rib tire are as follows: (j=1,2,3,4), default When the pitch arrangement is the same, the pattern of the corresponding ribs can be analyzed as follows: .

[0048] In some embodiments of this application, the specific steps for collecting the noise peak evaluation index generated by the tire corresponding to each of the plurality of misaligned information sequences are as follows: Collect the time-domain signals generated at all positions on the tire when the tire rolls one revolution, corresponding to each of the plurality of misaligned information sequences; integrate the time-domain signals generated at all positions on the tire to obtain the time-domain signal of the tire tread groove; perform a Fourier transform on the time-domain signal of the tire tread groove to obtain the order noise spectrum amplitude; obtain the maximum and minimum values ​​of the order noise spectrum amplitude from the current population, and determine the noise peak evaluation index based on the maximum and minimum values.

[0049] Specifically, for any position on the groove, a time-domain signal is generated when the groove contacts the ground. Fitted using the Dirac function, for any y-position, when the tire rolls one revolution across the road, its time-domain signal is: .

[0050] Integrating the signals at all locations on the ribs yields the time-domain signal of the tread grooves during tire rolling. Where t represents time and b represents the rib width of the target tire.

[0051] right The order noise spectral amplitude can be obtained by using Fourier transform. ,in They were obtained by Fourier series transform, This represents the amplitude of the nth-order noise spectrum. Let represent the projections of the (n)th order noise signal onto its sine and cosine basis functions, respectively, to describe the intensity and phase of the noise of that order.

[0052] like Figure 5 As shown, the spectral amplitudes for orders 35 to 65 are given. A good inter-interval arrangement aims to minimize the maximum order value. In a population of N individuals, the maximum noise spectral amplitude for each individual is... The minimum value is All The maximum value in is minimum value Peak evaluation index This serves as the peak performance indicator for each individual. The smaller this indicator, the closer the individual's peak order is to the minimum value in the population, indicating better performance. The specific steps for collecting the tire noise fluctuation evaluation indicator corresponding to each misaligned information sequence from the multiple misaligned information sequences are as follows: Obtain the standard deviation of the order noise spectrum amplitude from the current population; determine the standard deviation of the order noise spectrum amplitude as the noise fluctuation evaluation indicator, as shown in the following formula:

[0053] Volatility Evaluation Indicators ,in, This represents the noise spectral amplitude of the i-th individual. This represents the average amplitude of the noise spectrum in the population.

[0054] Optionally, determining the population fitness value based on the noise peak evaluation index and the noise fluctuation evaluation index includes: obtaining the weighting coefficients of the noise peak evaluation index and the noise fluctuation evaluation index respectively; determining the weighted sum of the noise peak evaluation index and the noise fluctuation evaluation index based on the weighting coefficients; and determining the population fitness value based on the weighted sum.

[0055] To obtain a comprehensive fitness evaluation, we decided to perform a weighted average of the two previously proposed evaluation indicators, thereby constructing the final fitness evaluation function. That is... , where m and n are the weighting coefficients for the peak value index and the volatility index, respectively. This measure aims to ensure that the evaluation process takes into account both the control of the order peak value and the stability of the order volatility amplitude.

[0056] In some embodiments of this application, the specific steps for determining the target individual based on the population fitness value and the initial population are as follows: Crossover and mutation operations are performed sequentially on each individual in the initial population to obtain a progeny population; the circumference of the target tire is determined based on the pitch misalignment distance corresponding to the progeny population; if the circumference of the target tire is not equal to the original circumference, the pitch misalignment distance corresponding to the progeny population is adjusted until the circumference of the target tire is equal to the original circumference, thus obtaining the current population; the individual with the highest fitness is selected from the current population and determined as the target individual.

[0057] Crossover is a crucial step in genetic algorithms. It involves randomly generating a series of gene loci and then exchanging genes between parents and offspring at these loci, thus transmitting genetic information. This process not only preserves the superior genes of both parents but may also generate new individuals with even better performance. For example, we can define two internode arrangements for parents and mothers and then use crossover to generate a completely new internode arrangement for offspring, as shown in the example below. Figure 6 and Figure 7As shown, crossover and mutation operations are sequentially performed on each individual in the initial population to obtain the offspring population. This includes: randomly generating crossover points in the misalignment information sequences corresponding to different individuals in the initial population; replacing the information sequences before and after the crossover points to obtain crossover individuals; and replacing the internode misalignment distances corresponding to random positions in the crossover individuals with random internode misalignment distances to obtain individuals in the offspring population. For example, after the crossover operation, a mutation operation is performed to further increase the diversity of the population. The mutation operation introduces new genetic information by randomly selecting certain positions in the offspring and replacing the internodes of these positions with other possible internodes. This random mutation brings new possibilities to the population and helps us explore a broader solution space. After crossover, mutation, and correction operations are performed on all individuals in the initial population, the offspring population is obtained. The fitness of each individual is calculated according to the fitness evaluation function. Using fitness as the selection probability, the offspring are selected to obtain the selected offspring population, where individuals with higher fitness have a higher probability of being selected. If the offspring after crossover and mutation operations retains the original pitch length, the total circumference may no longer meet the tire specification requirements. Therefore, the pitch length information of the offspring needs to be corrected. This is based on the formulas from the above pattern analysis, which are then used to obtain the corrected pitch length. In non-competitive pitch optimization tasks, if the pitch length of the offspring changes after crossover and mutation operations, we may need to correct the pitch length information of the offspring. However, in competitive pitch arrangement optimization, since the types and number of pitches do not change, there is no need to correct the pitch information. Parameter optimization is performed iteratively until a pitch arrangement that meets the requirements is obtained, and the optimized pitch arrangement is output.

[0058] The method for determining the pitch misalignment distance of tire ribs provided in this application overcomes the problem that traditional single-pulse signals cannot fully capture the dynamic effects of tread grooves (single pulses lead to loss of high-frequency components and interruption of time-domain continuity, resulting in noise distortion) by using an angled groove pattern model to characterize the tire's ground contact time-domain signal and introducing geometric angle parameters to construct a multi-dimensional signal mapping relationship. This achieves a more accurate characterization of the tire's ground contact time-domain features, allowing noise information to be fully and accurately reflected in the actual analysis in both the time and spatial domains, providing a high-fidelity data foundation for tire noise source tracing and optimization. Furthermore, by employing a weighted superposition method for the rib tire tread pitch and analytically modeling the multi-rib rolling time-domain signal, and combining time-frequency conversion technology (Fourier series transform), a noise separation and reconstruction model under misalignment conditions is constructed, thus overcoming the difficulty in effectively analyzing noise signals after rib tire misalignment. This approach enables precise capture and joint time-frequency domain analysis of complex tire tread noise characteristics, significantly improving the generalization ability and robustness of the noise prediction model and reducing prediction errors to industry-leading levels. An optimization algorithm based on a genetic algorithm was employed, and combined with the practical needs of tire rib misalignment optimization, an innovative adaptive crossover and mutation logic (such as dynamically adjusting crossover probability and mutation intensity) and a multi-objective weighted objective function (integrating indicators such as noise minimization and fluctuation balance) were proposed for this algorithm. This overcomes the technical problems of traditional optimization methods being singular and lacking optimization depth (such as gradient descent easily getting trapped in local optima, and the search range being limited by initial parameters). Ultimately, this achieves the effect of obtaining a better rib pitch distribution, significantly enhancing the product's competitiveness in the high-end market.

[0059] To better illustrate the method for determining the pitch misalignment distance of the tire ribs in the embodiments of this application, another embodiment will be used for further explanation below.

[0060] Optimization was performed on a tire design with a circumference of 2340.43 mm, pitch lengths of 37.8893, 46.4048, and 56.8340 mm, a pitch arrangement of 22121212111233232211123332111233321112333212223332, a tread groove angle of 30° (angle with the meridian direction), 4 ribs of equal width, and a vehicle speed of 80 km / h. Misalignment information was encoded using binary encoding. Each rib's misalignment distance was represented by a 15-bit code, for a total of 60 bits of encoding. Each 15-bit code corresponds to the misalignment distance of one rib.

[0061] 101001100010001001010010101010000010110011001000101010010010.

[0062] 100 60-bit binary codes are randomly generated, and the generated parameters are used as the initial population.

[0063] Based on the selected crossover logic, crossover operations are performed on individuals in the initial population to generate new offspring individuals, such as... Figure 3 As shown: After crossover, the offspring individuals are mutated to increase population diversity. A fitness evaluation function is used to calculate the fitness value of each offspring individual to quantify its quality. Based on the fitness value as the selection probability, selection is performed on the offspring individuals to generate a new population. Individuals with higher fitness have a greater probability of being selected, thus ensuring that superior genes are preserved and passed on. The new population generated after selection is used as the next generation population, and crossover, mutation, modification, and fitness evaluation operations are continued until the termination condition is met, and the result is output.

[0064] Case 1, the corresponding pitch arrangement is:

[0065] The corresponding pitch lengths of the 22121212111233232211123332111233321112333212223332 are 37.8893, 46.4048, and 56.8340 (unit / mm); the optimized misalignment distances of the four ribs are 0.5941783804321288, 1.0067248794555663, 1.3869161907958982, and 0.6858871243286132 (unit / m). A comparison of the order information before and after is shown below. Figure 8 As shown.

[0066] Case 2, 12312323312232332111332121133221131122221131232232, corresponding pitch lengths are 37.8893, 46.4048, and 56.8340 (unit / mm). The optimized misalignment distances of the four ribs are 1.25970959197998, 0.9410145645141598, 1.5036948483276362, and 1.27799420135498 (unit / m). Order comparison information is as follows: Figure 9 As shown.

[0067] Figure 10 A device for determining the pitch misalignment distance of tire ribs is shown, the device comprising:

[0068] The encoding module 110 is used to randomly generate the pitch misalignment distances of multiple tires of the target tire, and encode the pitch misalignment distances of the multiple tires respectively to obtain multiple misalignment information sequences;

[0069] The acquisition module 120 is used to acquire the noise peak evaluation index and noise fluctuation evaluation index of the tire corresponding to each misaligned information sequence in the plurality of misaligned information sequences, wherein the noise peak evaluation index is used to evaluate the highest intensity of tire noise, and the noise fluctuation evaluation index is used to evaluate the degree of fluctuation of tire noise amplitude with frequency.

[0070] The first determining module 140 is used to determine the plurality of misaligned information sequences as an initial population, and to determine the population fitness value according to the noise peak evaluation index and the noise fluctuation evaluation index.

[0071] The second determining module 160 determines the target individual based on the population fitness value and the initial population, wherein the target individual is used to represent the finally determined target pitch misalignment distance.

[0072] The aforementioned tire rib pitch misalignment distance determination device randomly generates multiple tire pitch misalignment distances for the target tire, and encodes each of these multiple tire pitch misalignment distances to obtain multiple misalignment information sequences. It then collects the noise peak evaluation index and noise fluctuation evaluation index corresponding to each misalignment information sequence, whereby the noise peak evaluation index is used to evaluate the highest intensity of tire noise, and the noise fluctuation evaluation index is used to evaluate the degree of fluctuation of tire noise amplitude with frequency. The multiple misalignment information sequences are then used to determine the initial population, and based on the noise... The peak performance index and the noise fluctuation index are used to determine the population fitness value. Based on the population fitness value and the initial population, target individuals are determined, whereby the target individual represents the final determined target pitch misalignment distance. By encoding the pitch misalignment distances of various tires of the target tire, and processing the encoded misalignment information sequence using a genetic algorithm, the optimal pitch misalignment distance is selected to arrange the tire pitches. This achieves the goal of accurately selecting a pitch arrangement with lower noise, thereby achieving the technical effect of reducing tire noise and solving the technical problem of excessive tire tread noise in related technologies.

[0073] The encoding module 110 in the aforementioned tire rib pitch misalignment distance determination device includes: an encoding submodule, used to encode the pitch misalignment distances of the various tires to obtain multiple misalignment information sequences, including: obtaining the number of ribs contained in the target tire, and determining the number of pitch misalignment distances based on the number of ribs; obtaining the number of encoding bits for the pitch misalignment distance, and determining the number of bits for the misalignment information sequence based on the number of encoding bits for the pitch misalignment distance and the number of pitch misalignment distances; encoding the pitch misalignment distance of the target tire according to the number of bits for the misalignment information sequence to obtain the misalignment information sequence.

[0074] The acquisition module 120 includes an acquisition submodule, used to acquire the noise peak evaluation index generated by the tire corresponding to each of the multiple misaligned information sequences, including: acquiring the time-domain signals generated at all positions on the tire when the tire rolls one revolution, respectively; integrating the time-domain signals generated at all positions on the tire to obtain the time-domain signal of the tire tread groove; performing a Fourier transform on the time-domain signal of the tire tread groove to obtain the order noise spectrum amplitude; obtaining the maximum and minimum values ​​of the order noise spectrum amplitude from the current population, and determining the noise peak evaluation index based on the maximum and minimum values.

[0075] The acquisition submodule includes an index unit, which is used to acquire the noise fluctuation evaluation index generated by the tire corresponding to each misaligned information sequence in the plurality of misaligned information sequences, including: obtaining the standard deviation of the order noise spectrum amplitude from the current population; and determining the standard deviation of the order noise spectrum amplitude as the noise fluctuation evaluation index.

[0076] The index unit includes a fitness subunit, used to determine the population fitness value based on the noise peak evaluation index and the noise fluctuation evaluation index, including: obtaining the weighting coefficients of the noise peak evaluation index and the noise fluctuation evaluation index respectively; determining the weighted sum of the noise peak evaluation index and the noise fluctuation evaluation index based on the weighting coefficients; and determining the population fitness value based on the weighted sum.

[0077] The aforementioned device for determining the pitch misalignment distance of tire ribs further includes an algorithm submodule, used to determine a target individual based on the population fitness value and the initial population, including: sequentially performing crossover and mutation operations on each individual in the initial population to obtain a offspring population; determining the circumference of the target tire based on the pitch misalignment distance corresponding to the offspring population; if the circumference of the target tire is not equal to the original circumference, adjusting the pitch misalignment distance corresponding to the offspring population until the circumference of the target tire is equal to the original circumference, thus obtaining the current population; and selecting the individual with the highest fitness from the current population as the target individual.

[0078] The algorithm submodule includes a processing unit, used to sequentially perform crossover and mutation operations on each individual in the initial population to obtain the offspring population. This includes: randomly generating crossover points in the misalignment information sequences corresponding to different individuals in the initial population; cross-replacing the information sequences before and after the crossover points to obtain crossover individuals; and replacing the internode misalignment distance corresponding to random position points in the crossover individuals with random internode misalignment distances to obtain individuals in the offspring population.

[0079] It should be noted that, Figure 10 The tire rib pitch misalignment distance determination device shown is used to perform... Figure 2 The method for determining the pitch misalignment distance of the tire ribs shown above also applies to the tire rib pitch misalignment distance determination device, and will not be repeated here.

[0080] This application also provides a computer device, including: a memory and a processor, wherein the memory is used to store program instructions; and the processor, connected to the memory, is used to execute the above-described method for determining the pitch misalignment distance of tire ribs.

[0081] This application also provides a computer program product, including computer instructions, which, when executed by a processor, implement the steps of the method for determining the pitch misalignment distance of tire ribs in this application.

[0082] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0083] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0084] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0085] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0086] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0087] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0088] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for determining the pitch misalignment distance of tire ribs, characterized in that, include: The pitch misalignment distances of multiple tires of the target tire are randomly generated, and the pitch misalignment distances of the multiple tires are encoded respectively to obtain multiple misalignment information sequences; The noise peak evaluation index and noise fluctuation evaluation index generated by the tire corresponding to each misaligned information sequence in the plurality of misaligned information sequences are collected respectively. The noise peak evaluation index is used to evaluate the highest intensity of tire noise, and the noise fluctuation evaluation index is used to evaluate the degree of fluctuation of tire noise amplitude with frequency. The multiple misalignment information sequences are determined as the initial population, and the population fitness value is determined according to the noise peak evaluation index and the noise fluctuation evaluation index. The target individual is determined based on the population fitness value and the initial population, wherein the target individual is used to represent the final determined target pitch misalignment distance.

2. The method according to claim 1, characterized in that, The pitch misalignment distances of the various tires are encoded to obtain multiple misalignment information sequences, including: Obtain the number of ribs contained in the target tire, and determine the pitch misalignment distance based on the number of ribs; Obtain the number of bits encoded for the pitch misalignment distance, and determine the number of bits in the misalignment information sequence based on the number of bits encoded for the pitch misalignment distance and the number of pitch misalignment distances; The pitch misalignment distance of the target tire is encoded according to the number of bits in the misalignment information sequence to obtain the misalignment information sequence.

3. The method according to claim 1, characterized in that, The evaluation index of the noise peak generated by the tire corresponding to each misalignment information sequence in the plurality of misalignment information sequences is collected, including: Collect the time-domain signals generated at all positions on the tire when the tire rolls one revolution, corresponding to each of the multiple misalignment information sequences; The time-domain signals generated at all locations on the tire are integrated to obtain the time-domain signal of the tire tread grooves; The time-domain signal of the tire tread groove is subjected to Fourier transform to obtain the order noise spectrum amplitude. The maximum and minimum values ​​of the order noise spectrum amplitude are obtained from the current population, and the noise peak evaluation index is determined based on the maximum and minimum values.

4. The method according to claim 3, characterized in that, The evaluation index of tire noise fluctuation corresponding to each misalignment information sequence in the plurality of misalignment information sequences is collected, including: Obtain the standard deviation of the order noise spectrum amplitude from the current population; The standard deviation of the order noise spectrum amplitude is determined as the noise fluctuation evaluation index.

5. The method according to claim 4, characterized in that, Determining the population fitness value based on the noise peak evaluation index and the noise fluctuation evaluation index includes: Obtain the weighting coefficients of the noise peak evaluation index and the noise fluctuation evaluation index respectively; The weighted sum of the noise peak evaluation index and the noise fluctuation evaluation index is determined based on the weighting coefficients. The population fitness value is determined based on the weighted sum.

6. The method according to claim 1, characterized in that, Determining the target individual based on the population fitness value and the initial population includes: Each individual in the initial population is subjected to crossover and mutation operations in sequence to obtain the offspring population; The circumference of the target tire is determined based on the pitch misalignment distance corresponding to the offspring population. If the circumference of the target tire is not equal to the original circumference, the pitch misalignment distance corresponding to the offspring population is adjusted until the circumference of the target tire is equal to the original circumference, thus obtaining the current population. The individual with the highest fitness in the current population is selected as the target individual.

7. The method according to claim 6, characterized in that, Crossover and mutation operations are performed sequentially on each individual in the initial population to obtain the offspring population, including: In the initial population, crossover points are randomly generated in the misaligned information sequences corresponding to different individuals. The information sequences before and after the crossover points are then cross-substituted to obtain the crossover individuals. Replace the internode misalignment distance corresponding to the random position point in the crossover individual with a random internode misalignment distance to obtain the individuals in the offspring population.

8. A device for determining the pitch misalignment distance of tire ribs, characterized in that, include: The encoding module is used to randomly generate the pitch misalignment distances of multiple tires of the target tire, and encode the pitch misalignment distances of the multiple tires respectively to obtain multiple misalignment information sequences; The acquisition module is used to acquire the noise peak evaluation index and noise fluctuation evaluation index of the tire corresponding to each misaligned information sequence in the plurality of misaligned information sequences, wherein the noise peak evaluation index is used to evaluate the highest intensity of tire noise, and the noise fluctuation evaluation index is used to evaluate the degree of fluctuation of tire noise amplitude with frequency. The first determining module is used to determine the plurality of misaligned information sequences as an initial population, and to determine the population fitness value according to the noise peak evaluation index and the noise fluctuation evaluation index. The second determining module is used to determine the target individual based on the population fitness value and the initial population, wherein the target individual is used to represent the finally determined target pitch misalignment distance.

9. A computer device, characterized in that, include: A memory and a processor, wherein the memory is used to store program instructions; and the processor, connected to the memory, is used to execute the method for determining the pitch misalignment distance of tire ribs as described in any one of claims 1 to 7.

10. A computer program product comprising computer instructions, characterized in that, When the computer instructions are executed by the processor, they implement the method for determining the pitch misalignment distance of the tire ribs as described in any one of claims 1 to 7.

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