Tire type selection method and system, electronic equipment and storage medium

Abstract

The invention provides a tire type selection method and system, electronic equipment and a storage medium, and relates to the technical field of automobile assembly, and the method comprises the following steps: respectively obtaining performance data of a plurality of alternative tires, the performance data of the alternative tires comprising a plurality of characteristic performance values; respectively carrying out normalization processing on each characteristic performance value, and respectively obtaining a normalized characteristic performance value of each characteristic performance value; obtaining a weighting scheme of a target selection type based on the target selection type of the tire and a preset mapping relation between the target selection type and the weighting scheme, and performing weighted summation on the normalized characteristic performance value of each alternative tire according to the weighting scheme to obtain the normalized characteristic performance value of each alternative tire. Evaluation parameters of all the alternative tires are obtained respectively; and based on the evaluation parameters, selecting the tire model of the target selection type. By performing normalization processing and weighting on the performance data of the alternative tires, the tires are selected simply and easily.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile assembly, and in particular to a tire selection method, system, electronic equipment and storage medium. Background Art

[0002] As the only part of a car that contacts the ground, tires have a significant impact on the vehicle's power, economy, NVH (Noise, Vibration, Harshness), handling stability, braking performance, etc. With the maturity of the automobile market and the improvement of people's requirements for vehicle performance, the requirements for tires have also expanded from early reliability and durability to all aspects of vehicle performance. At present, after analyzing the automobile road test data and user feedback, the following conclusions have been drawn: the four performance indicators that users are most concerned about during the driving experience of the vehicle are power (acceleration time), economy (energy consumption), safety (braking distance) and in-vehicle NVH performance.

[0003] The existing tire selection methods are basically based on the combination of objective test results and subjective evaluation of the above indicators. The tire model is finally selected through decision-making by the project team. Although the above method can select tire models, the process is cumbersome, and the subjective evaluation has high requirements for evaluators. The evaluation results are greatly affected by the preferences of evaluators, and it is often impossible to obtain comprehensive, objective and fair selection results. At the same time, with the increase in the young generation of drivers born in the 1990s and 2000s, customers' requirements for vehicle performance are no longer limited to the optimal comprehensive performance of tires. At the same time, some consumers have begun to pursue the single extreme performance of tires. Therefore, in the process of vehicle model development, how to choose suitable tires so that they can not only meet the performance requirements of the whole vehicle, but also match the positioning of the vehicle model, while taking into account the differentiated needs of different users for tire performance, there has been no fixed method and clear process. Summary of the invention

[0004] In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a tire selection method, system, electronic device and storage medium for solving the problem that the prior art tire screening method does not meet the differentiated needs of different users for tire performance.

[0005] To achieve the above-mentioned and other related purposes, the present invention provides a tire selection method, comprising:

[0006] S1: acquiring performance data of a plurality of candidate tires respectively, wherein the performance data of the candidate tires comprises a plurality of characteristic performance values, each of which is used to characterize a performance item of the candidate tires;

[0007] S2: normalizing each of the characteristic performance values ​​to obtain normalized characteristic performance values ​​of each of the characteristic performance values;

[0008] S3: based on the target selection type of the tire and the preset mapping relationship between the target selection type and the weighting scheme, obtaining the weighting scheme of the target selection type,

[0009] S4: performing weighted summation on the normalized characteristic performance value of each candidate tire according to the weighting scheme to obtain evaluation parameters of each candidate tire;

[0010] S5: Based on the evaluation parameters, select a tire model of the target selection type.

[0011] In an exemplary embodiment, the targeted type of tire comprises a combination tire,

[0012] After obtaining the evaluation parameters of each candidate tire, if the target selection type is a comprehensive tire, the model of the candidate tire with the best evaluation parameter is the tire selection model.

[0013] In an exemplary embodiment, the target selection type of tire includes a specific performance type tire, and the specific performance type tire has a preferred performance item;

[0014] After step S5, proceed to step S6;

[0015] The step S6 comprises: if the target selection type is a specific performance type tire, comparing the characteristic performance value of the preferred performance item of the candidate tire with the best evaluation parameter with the characteristic performance value of the corresponding performance item of the comprehensive tire;

[0016] If the characteristic performance value of the preferred performance item of the candidate tire with the best evaluation parameter is better than the characteristic performance value of the corresponding performance item of the comprehensive tire by an amount that meets a preset threshold, the model of the candidate tire with the best evaluation parameter is the tire selection model.

[0017] In an exemplary embodiment, if the characteristic performance value of the preferred performance item of the alternative tire with the best evaluation parameter is better than the characteristic performance value of the corresponding performance item of the comprehensive tire, and the superiority does not meet the preset threshold, the weighting scheme mapped by each of the target selection types is adjusted through a modern intelligent optimization algorithm, and steps S3 to S6 are performed until the tire selection model is obtained.

[0018] In an exemplary embodiment, the specific performance type tire is a sports type tire, an economic type tire, a safety type tire or a silent type tire.

[0019] In an exemplary embodiment, the preferred performance item of the sports tire is the acceleration time per 100 kilometers; the preferred performance item of the economical tire is the energy consumption per 100 kilometers; the preferred performance item of the safety tire is the braking distance per 100 kilometers; and the preferred performance item of the silent tire is the in-vehicle noise data.

[0020] In an exemplary embodiment, before step S1, the method includes:

[0021] The rolling resistance coefficients of multiple optional tires are obtained, and the optional tires whose rolling resistance coefficients meet a preset rolling resistance coefficient threshold are the candidate tires.

[0022] The present invention provides a tire selection system, comprising:

[0023] An information acquisition module, used to respectively acquire performance data of a plurality of candidate tires, wherein the performance data of the candidate tires includes a plurality of characteristic performance values, and each of the characteristic performance values ​​is used to characterize each performance item of the candidate tires;

[0024] A data normalization module, used to perform normalization processing on each of the characteristic performance values, respectively, to obtain normalized characteristic performance values ​​of each of the characteristic performance values;

[0025] A weighting scheme selection module, configured to obtain a weighting scheme for a target selection type based on a target selection type of a tire and a preset mapping relationship between the target selection type and the weighting scheme;

[0026] A weighted calculation module, used for performing weighted summation on the normalized characteristic performance value of each candidate tire according to the weighting scheme to obtain evaluation parameters of each candidate tire;

[0027] The tire determination module is used to select a tire model of the target selection type based on the evaluation parameters.

[0028] The present invention provides an electronic device, comprising:

[0029] one or more processors;

[0030] The storage device is used to store one or more programs. When the one or more programs are executed by the one or more processors, the electronic device implements the tire selection method as described above.

[0031] The present invention also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor of a computer, the computer is enabled to execute the tire selection method as described above.

[0032] As described above, the tire selection method, system, electronic device and storage medium of the present invention have the following beneficial effects:

[0033] By normalizing and weighting the performance data of the candidate tires, the multi-dimensional performance data of the candidate tires can be simplified to select the target type of tires using evaluation parameters. This method is simple and easy to operate. At the same time, by selecting the target type of tire model through objective performance data, it can avoid the evaluator being influenced by subjective factors such as personal preferences, so that the selected tires can better meet the differentiated needs of consumers. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 is a flow chart of a tire selection method shown in an exemplary embodiment of the present application;

[0035] Figure 2 is a block diagram of a tire selection method shown in an exemplary embodiment of the present application;

[0036] Figure 3 The structure of the computer system shown is suitable for implementing the electronic device of the embodiment of the present application. DETAILED DESCRIPTION

[0037] The following describes the embodiments of the present invention through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention.

[0038] See also Figures 1 to 3It should be noted that the diagrams provided in the present embodiment only illustrate the basic concept of the present invention in a schematic manner, so the diagrams only show the components related to the present invention rather than drawing according to the number, shape and size of the components in actual implementation. The type, quantity and proportion of each component in actual implementation can be changed at will, and the component layout type may also be more complicated. The structure, proportion, size, etc. shown in the drawings attached to this specification are only used to match the content disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the limiting conditions that the present invention can be implemented, so they have no technical substantive significance. Any modification of the structure, change of the proportional relationship or adjustment of the size should still fall within the scope of the technical content disclosed by the present invention without affecting the effect and purpose that the present invention can produce. At the same time, the terms such as "upper", "lower", "left", "right", "middle" and "one" quoted in this specification are only for the convenience of description, and are not used to limit the scope of the implementation of the present invention. The change or adjustment of the relative relationship should also be regarded as the scope of the implementation of the present invention without substantially changing the technical content.

[0039] like Figure 1 As shown, the present invention provides a tire selection method, comprising:

[0040] Step S1: acquiring performance data of a plurality of candidate tires respectively, wherein the performance data of the candidate tires includes a plurality of characteristic performance values, and each characteristic performance value is used to characterize each performance item of the candidate tire.

[0041] In an exemplary embodiment, the characteristic performance value may be the acceleration time per 100 kilometers and / or the energy consumption per 100 kilometers and / or the braking distance per 100 kilometers and / or the noise data in the vehicle. The acceleration time per 100 kilometers can determine the power performance of the vehicle. The shorter the acceleration time per 100 kilometers, the better the power performance of the vehicle; the energy consumption per 100 kilometers can determine the economy of the vehicle. Since the energy consumption per 100 kilometers can reflect the amount of energy consumed by the vehicle after traveling 100 kilometers, it can be known whether the vehicle saves energy during driving. Therefore, the less energy consumption per 100 kilometers, the better the economy of the vehicle; the braking distance per 100 kilometers can determine the safety of the vehicle. The shorter the braking distance per 100 kilometers, the shorter the vehicle can travel in a shorter distance in an emergency. The shorter the braking distance per 100 kilometers, the better the safety of the vehicle; the noise data in the vehicle can determine the quiet effect of the vehicle. The smaller the noise data in the vehicle, the better the quiet effect of the vehicle. It can be seen that the smaller the above-mentioned performance data, the better the tire performance corresponding to the characteristic performance value. For example, the acceleration time of tire X1 per 100 kilometers is T1, and the acceleration time of tire X2 per 100 kilometers is T2, and T1>T2, so the dynamic performance of tire X2 is better than that of tire X1; the energy consumption per 100 kilometers of tire X1 is E1, and the energy consumption per 100 kilometers of tire X2 is E2, and E1>E2, so the economy of tire X2 is better than that of tire X1, and the same applies to the braking distance per 100 kilometers and the noise data inside the car.

[0042] The collection of characteristic performance values ​​is shown in Table 1 and Table 2:

[0043] Table 1 Data collection table of acceleration time per 100 kilometers, energy consumption per 100 kilometers, and braking distance per 100 kilometers of alternative tires

[0044]

[0045]

[0046] Table 2 Data collection of in-vehicle noise of alternative tires

[0047]

[0048] Table 2 is a table of in-vehicle noise data collection for the candidate wheel X1. In Table 2, multiple in-vehicle noise data are measured. When selecting noise data, the corresponding in-vehicle noise data can be taken as the in-vehicle noise data for the candidate vehicle X1 according to the requirements. In an exemplary embodiment, the noise experience of the driver is mainly taken as the in-vehicle noise data at the right ear of the driver when the vehicle is driving on a smooth asphalt road at a speed of 60 km / h (kilometer / hour). Therefore, the in-vehicle noise data corresponding to the candidate wheel X1 in Table 2 is 69.1 dB (A) (Decibel). Similarly, the in-vehicle noise data of other candidate wheels can be obtained.

[0049] In an exemplary embodiment, before respectively acquiring the performance data of a plurality of candidate tires, step S210 is included.

[0050] Step S210: Obtain rolling resistance coefficients of multiple optional tires, and optional tires whose rolling resistance coefficients meet a preset rolling resistance coefficient threshold are candidate tires.

[0051] Before selecting tires, the performance of the designed vehicle will be positioned to meet the needs of fixed consumer groups. When selecting alternative tires, tires that meet regulatory requirements are preferred. Since current regulations have strict requirements on energy consumption and there is only one influencing factor, namely the rolling resistance coefficient of the tire, tires that meet this requirement should be selected first.

[0052] Step S2: normalize each characteristic performance value to obtain a normalized characteristic performance value of each characteristic performance value.

[0053] In an exemplary embodiment, each characteristic performance value of each candidate tire is normalized, and the Euclidean norm of the acceleration time per 100 kilometers of each candidate tire is first obtained, and the calculation formula is as follows:

[0054]

[0055] In formula (1), x1, x2, x3.....x n are the same characteristic performance values ​​in each alternative tire respectively;

[0056] ‖x‖ is the Euclidean norm of the same characteristic performance value in each alternative tire.

[0057] Then, the characteristic performance values ​​corresponding to the normalized characteristic performance values ​​of each candidate tire are divided by the above-mentioned Euclidean norm to normalize the same characteristic performance value of each candidate tire. The calculation formula is as follows:

[0058]

[0059] In formula (2), x i is the normalized characteristic performance value of each candidate tire;

[0060] x1, x2, x3.....x n are the characteristic performance values ​​corresponding to the normalized characteristic performance values ​​in each candidate tire.

[0061] After the characteristic performance values ​​of each candidate tire are normalized, the obtained normalized characteristic performance values ​​are dimensionless values, so weighted operations can be performed, thereby simplifying the multi-objective problem into a single-objective problem to simplify the determination method.

[0062] Step S3: Based on the target selection type of the tire and the pre-set mapping relationship between the target selection type and the weighting scheme, a weighting scheme for the target selection type is obtained.

[0063] Among them, the target selection types of tires include comprehensive tires and specific performance tires. Specific performance tires have preferred performance items, and comprehensive tires refer to tires that comprehensively consider the driving effects of various characteristic performance values ​​on the premise of meeting regulations, and select the tire model with the best comprehensive performance of various characteristic performance values ​​of the tire.

[0064] In an exemplary embodiment, the specific performance tire is a sports tire, an economical tire, a safety tire or a silent tire, and the performance items include a sporty performance item, an economical performance item, a safety performance item and a silent effect performance item. The characteristic performance value of the sporty performance item is used to characterize the sportiness of the tire, the characteristic performance value of the economical performance item is used to characterize the economy of the tire, the characteristic performance value of the safety performance item is used to characterize the safety of the tire, and the characteristic performance value of the silent effect performance item is used to characterize the silent effect of the tire. Sports tires are selected to achieve the ultimate sportiness by sacrificing some economy, quietness and safety on the premise of meeting regulations, giving priority to the single factor of the shortest acceleration time of the whole vehicle, and the preferred performance item is the sportiness performance item; Safety tires are selected to achieve the ultimate safety by sacrificing some economy, quietness and sportiness on the premise of meeting regulations, giving priority to the single factor of the minimum braking distance of the whole vehicle, and the preferred performance item is the safety performance item; Economic tires are selected to achieve the ultimate consumption reduction by sacrificing some safety, quietness and sportiness on the premise of meeting regulations, giving priority to the single factor of the lowest energy consumption of the whole vehicle, and the preferred performance item is the economy performance item; Quiet tires are selected to achieve the best quietness by sacrificing some economy, safety and sportiness on the premise of meeting regulations, giving priority to the single factor of the minimum noise inside the car, and the preferred performance item is the quietness performance item; Comprehensive tires: refers to the tires selected to have the best comprehensive performance of the whole vehicle by comprehensively considering power, economy, safety and quietness on the premise of meeting regulations. From the above, it can be seen that the preferred performance item of sports tires can be the acceleration time per 100 kilometers; the preferred performance item of economic tires can be the energy consumption per 100 kilometers; the preferred performance item of safety tires can be the braking distance per 100 kilometers; the preferred performance item of silent tires can be the in-vehicle noise data. Since comprehensive tires and each specific performance type tire have different focuses on tire selection, different weighting schemes are configured for different target selection types. Since the lower the characteristic performance value, the better the performance of the tire corresponding to the characteristic performance value, the lower the evaluation parameter is, the better the comprehensive characteristic performance values ​​of the tire are. Table 4 below shows the weight allocation scheme.

[0065] Table 4 Weight allocation scheme

[0066]

[0067] Please refer to Table 4. In the weighted calculation, the dynamic performance characterization value is used to multiply the normalized 100 km / h acceleration time, the economic performance characterization value is used to multiply the normalized 100 km / h acceleration time, the braking performance characterization value is used to multiply the normalized 100 km braking distance, and the quietness characterization value is used to multiply the normalized in-vehicle noise data. As can be seen from Table 4, the tire corresponding to No. 1 is a sports tire, and its dynamic performance characterization value weight ωt is 0.9, the economic performance weight ω2 is 0.034, the braking performance weight ω3 is 0.033, and the quietness performance weight ω4 is 0.033. It can be seen that in sports tires, the dynamic performance weight ω t It is obviously larger than the other three characterization value weights. Sports tires focus on the requirements of tire dynamics. Therefore, by increasing the weight of the dynamic characterization value, the influence of the normalized 100 km acceleration time on the evaluation parameters is magnified, so as to select the tire model of sports tires. Similarly, the tire corresponding to number 2 is a sports tire; the tire corresponding to number 3 is an economical tire, and its dynamic characterization value weight ω t is 0.033, the economical characterization value weight ω2 is 0.9, the braking characterization value weight ω3 is 0.034, and the quietness characterization value weight ω4 is 0.033. It can be seen that in economical tires, the economical characterization value weight ω t It is obviously larger than the weights of the other three characterization values. Economic tires focus on the requirements for tire economy. Therefore, by increasing the weight of the economic characterization value, the influence of the normalized 100-kilometer energy consumption on the evaluation parameters is magnified, so as to select the tire model of economic tires. Similarly, the tire corresponding to No. 4 is an economic tire; similarly, safety tires and silent tires. The weights of the four characterization values ​​of comprehensive tires are not much different, in order to comprehensively consider the influence of power, economy, safety and quietness on the evaluation parameters. By weighting the normalized characteristic performance value and increasing the weighted value of a certain characteristic performance value, the above characteristic performance value is amplified, and the influence of the characteristic performance value on the evaluation parameters is increased, so that the tires can be better screened according to the characteristic performance value.

[0068] Step S4: performing weighted summation on the normalized characteristic performance value of each candidate tire according to the weighting scheme to obtain evaluation parameters of each candidate tire.

[0069] Step S5: Based on the evaluation parameters, select a tire model of the target selection type.

[0070] The weighted model of the above performance data is as follows:

[0071]

[0072] Among them, ω j is the weight;

[0073] x i For alternative tires;

[0074] F j is the normalized characteristic performance value;

[0075] F is the evaluation parameter finally selected, that is, the smallest evaluation parameter among the evaluation parameters of all candidate tires.

[0076] ω j For ω1, ω2, ω3 and ω4 in Table 4, according to the example of the weight allocation scheme in Table 4, weight allocation schemes for sports tires, economical tires, safety tires, silent tires and comprehensive tires are respectively formulated, and tire models corresponding to the target selection type are screened out from the candidate tires, and the target selection type includes sports tires, economical tires, safety tires, silent tires and comprehensive tires.

[0077] In an exemplary embodiment, when it is necessary to select a tire model that satisfies the requirements of sports tires from among the alternative tires, a weight allocation scheme for sports tires is selected, and the normalized characteristic performance values ​​of each alternative tire are respectively brought into the performance data weighted model to obtain the minimum evaluation parameter under the weight allocation scheme for sports tires, and the alternative tire corresponding to the above minimum evaluation parameter is used as the sports tire; when it is necessary to select a tire model that satisfies the requirements of economical tires from among the alternative tires, a weight allocation scheme for economical tires is selected, and the normalized characteristic performance values ​​of each alternative tire are respectively brought into the performance data weighted model to obtain the minimum evaluation parameter under the weight allocation scheme for economical tires, and the alternative tire corresponding to the above minimum evaluation parameter is used as the economical tire; similarly, safety tires, silent tires and comprehensive tires can be obtained.

[0078] Wherein, the target selection type of tire includes comprehensive tires. After obtaining the evaluation parameters of each candidate tire, if the target selection type is comprehensive tire, the model of the candidate tire with the best evaluation parameter is the tire selection model. The target selection type of tire includes specific performance tires. The specific performance tire has a preferred performance item. After step S5, step S6 is performed.

[0079] Step S6 includes: if the target selection type is a specific performance type tire, comparing the characteristic performance value of the preferred performance item of the alternative tire with the best evaluation parameter with the characteristic performance value of the corresponding performance item of the comprehensive tire; if the characteristic performance value of the preferred performance item of the alternative tire with the best evaluation parameter is better than the characteristic performance value of the corresponding performance item of the comprehensive tire by an amount that meets a preset threshold, then the model of the alternative tire with the best evaluation parameter is the tire selection model.

[0080] If the characteristic performance value of the preferred performance item of the alternative tire with the best evaluation parameter is better than the characteristic performance value of the corresponding performance item of the comprehensive tire, but the superiority does not meet the preset threshold, the weighting scheme mapped by each target selection type is adjusted through a modern intelligent optimization algorithm, and steps S3 to S6 are performed until the tire selection model is obtained.

[0081] It should be noted that the modern intelligent optimization algorithm can be specifically a genetic algorithm, a neural network optimization algorithm, a particle swarm optimization algorithm or a simulated annealing algorithm, etc. The type of the modern intelligent optimization algorithm can be adjusted according to the actual algorithm usage requirements. In an exemplary embodiment, the preset threshold is 10%. After obtaining the sports tire, economic tire, safety tire, silent tire and comprehensive tire through the performance data weighted model, the correctness of the above-mentioned types of tires needs to be verified, and the performance data of the target comprehensive tire is used as the basic sample for judgment. When verifying the sports tire, since the 100 km acceleration time is used to characterize the mobility of the vehicle, the correctness of the sports tire selection is judged by whether the 100 km acceleration time of the target sports tire is reduced by 10% compared with the 100 km acceleration time of the target comprehensive tire. If the 100 km acceleration time of the target sports tire is not reduced by 10% compared with the 100 km acceleration time of the target comprehensive tire, the weight distribution of the original sports tire is optimized through the modern intelligent optimization algorithm to obtain the sports tire that meets the above verification requirements and the optimal weight corresponding to the sports tire. It can be understood that when optimizing the weighting scheme for sports tires, the dynamic performance characterization value weight ω t It must be significantly greater than the other three characterization value weights; when optimizing the weight scheme for economical tires, the economic characterization value weight ω t Obviously greater than the other three characterization value weights; similarly, safety tires and silent tires. It should be noted that the above 10% is an empirical value for verification, which can be adjusted according to the actual selection requirements. When verifying economical tires, because the energy consumption per 100 kilometers is used to characterize the economy of the vehicle, the correctness of the selection of economical tires is judged by whether the energy consumption per 100 kilometers of the economical tires is 10% lower than that of the target comprehensive tires. If the energy consumption per 100 kilometers of the economical tires is not 10% lower than that of the comprehensive tires, the original weight distribution scheme of the economical tires and the performance data weighted model are optimized through modern intelligent optimization algorithms to obtain economical tires that meet the above verification requirements and the optimal weights corresponding to the economical tires. The same applies to safety tires and silent tires. If the alternative tires still cannot meet the above verification requirements through the modern intelligent optimization algorithm, it is necessary to repeat steps S1 to S6 until the tire selection model is obtained. The termination node of the above modern intelligent optimization algorithm can be the termination node when the preset optimization times are reached, or the modern intelligent optimization algorithm has not found the optimal solution after the traversal is completed, the modern intelligent optimization algorithm will automatically terminate.

[0082] In summary, by normalizing and weighting the performance data of the candidate tires, the multi-dimensional performance data of the candidate tires can be simplified to selecting the target type of tires using evaluation parameters. This method is simple and easy to operate. At the same time, by selecting tires that meet the positioning tire type conditions through objective performance data, it can avoid the evaluators being influenced by subjective factors such as personal preferences, so that the selected tires can better meet the differentiated needs of consumers.

[0083] like Figure 2 As shown, the present invention provides a tire selection system based on vehicle performance positioning, comprising:

[0084] An information acquisition module 210 is used to respectively acquire performance data of a plurality of candidate tires, wherein the performance data of the candidate tires includes a plurality of characteristic performance values, and each characteristic performance value is used to characterize each performance item of the candidate tire;

[0085] A data normalization module 220 is used to perform normalization processing on each characteristic performance value to obtain a normalized characteristic performance value of each characteristic performance value;

[0086] A weighting scheme selection module 230, configured to obtain a weighting scheme for a target selection type based on the target selection type of the tire and a preset mapping relationship between the target selection type and the weighting scheme;

[0087] A weighted calculation module 240 is used to perform weighted summation on the normalized characteristic performance value of each candidate tire according to a weighting scheme to obtain evaluation parameters of each candidate tire;

[0088] The tire determination module 250 selects a tire model of a target selection type based on the evaluation parameters.

[0089] An embodiment of the present application also provides an electronic device, including: one or more processors; a storage device for storing one or more programs, when the one or more programs are executed by one or more processors, the electronic device implements the tire selection method provided in the above-mentioned embodiments.

[0090] Figure 3 The structure diagram of the computer system suitable for implementing the electronic device of the embodiment of the present application is shown. It should be noted that: Figure 3 The computer system 300 of the electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0091] like Figure 3As shown, the computer system 300 includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage part 308 to the random access memory (RAM) 303, such as executing the method in the above embodiment. In the RAM 303, various programs and data required for system operation are also stored. The CPU 301, ROM 302 and RAM 303 are connected to each other through a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0092] The following components are connected to the I / O interface 305: an input section 307 including a keyboard, a mouse, etc.; an output section 307 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed so that a computer program read therefrom is installed into the storage section 308 as needed.

[0093] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 309, and / or installed from a removable medium 311. When the computer program is executed by a central processing unit (CPU) 301, various functions defined in the system of the present application are executed.

[0094] It should be noted that the computer-readable medium shown in the embodiment of the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. This propagated data signal can take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. A computer program contained on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0095] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0096] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0097] Another aspect of the present application provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor of a computer, the computer executes the front tire selection method. The computer-readable storage medium may be included in the electronic device described in the above embodiment, or may exist independently without being assembled into the electronic device.

[0098] Another aspect of the present application also provides a computer program product or a computer program, the computer program product or the computer program includes computer instructions, the computer instructions are stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the tire selection method provided in each of the above embodiments.

[0099] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A tire selection method, characterized in that: include: S1: acquiring performance data of a plurality of candidate tires respectively, wherein the performance data of the candidate tires comprises a plurality of characteristic performance values, each of which is used to characterize a performance item of the candidate tires; S2: normalizing each of the characteristic performance values ​​to obtain normalized characteristic performance values ​​of each of the characteristic performance values; S3: based on the target selection type of the tire and the preset mapping relationship between the target selection type and the weighting scheme, obtaining the weighting scheme of the target selection type, S4: performing weighted summation on the normalized characteristic performance value of each candidate tire according to the weighting scheme to obtain evaluation parameters of each candidate tire; S5: Based on the evaluation parameters, select a tire model of the target selection type.

2. The tire selection method according to claim 1, characterized in that: The target selection types of tires include comprehensive tires, After obtaining the evaluation parameters of each candidate tire, if the target selection type is a comprehensive tire, the model of the candidate tire with the best evaluation parameter is the tire selection model.

3. The tire selection method according to claim 1 or 2, characterized in that: The target selection type of tire includes a specific performance type tire, and the specific performance type tire has a preferred performance item; After step S5, proceed to step S6; The step S6 comprises: if the target selection type is a specific performance type tire, comparing the characteristic performance value of the preferred performance item of the candidate tire with the best evaluation parameter with the characteristic performance value of the corresponding performance item of the comprehensive tire; If the characteristic performance value of the preferred performance item of the candidate tire with the best evaluation parameter is better than the characteristic performance value of the corresponding performance item of the comprehensive tire by an amount that meets a preset threshold, the model of the candidate tire with the best evaluation parameter is the tire selection model.

4. The tire selection method according to claim 3, characterized in that: If the characteristic performance value of the preferred performance item of the alternative tire with the best evaluation parameter is better than the characteristic performance value of the corresponding performance item of the comprehensive tire, and the superiority does not meet the preset threshold, the weighting scheme mapped by each of the target selection types is adjusted through a modern intelligent optimization algorithm, and steps S3 to S6 are performed until the tire selection model is obtained.

5. The tire selection method according to claim 3, characterized in that: Specific performance tires are sports tires, economical tires, safety tires or silent tires.

6. The tire selection method according to claim 5, characterized in that: The preferred performance item of the sports tire is the acceleration time from 0 to 100 km / h; The preferred performance item of the economical tire is energy consumption per 100 kilometers; The preferred performance item of the safety tire is the braking distance per 100 kilometers; The preferred performance item of the silent tire is the in-vehicle noise data.

7. The tire selection method according to claim 1, characterized in that: Before step S1, it includes: The rolling resistance coefficients of multiple optional tires are obtained, and the optional tires whose rolling resistance coefficients meet a preset rolling resistance coefficient threshold are the candidate tires.

8. A tire selection system, characterized in that: include: An information acquisition module, used to respectively acquire performance data of a plurality of candidate tires, wherein the performance data of the candidate tires includes a plurality of characteristic performance values, and each of the characteristic performance values ​​is used to characterize each performance item of the candidate tires; A data normalization module, used to perform normalization processing on each of the characteristic performance values, respectively, to obtain normalized characteristic performance values ​​of each of the characteristic performance values; A weighting scheme selection module, configured to obtain a weighting scheme for a target selection type based on a target selection type of a tire and a preset mapping relationship between the target selection type and the weighting scheme; A weighted calculation module, used for performing weighted summation on the normalized characteristic performance value of each candidate tire according to the weighting scheme to obtain evaluation parameters of each candidate tire; The tire determination module is used to select a tire model of the target selection type based on the evaluation parameters.

9. An electronic device, characterized in that: The electronic device comprises: one or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, enables the electronic device to implement the tire selection method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor of a computer, the computer is caused to execute the tire selection method according to any one of claims 1 to 7.

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