Test track reinforced road surface selection method, device, equipment and readable storage medium

Abstract

A method, device, equipment and readable storage medium for selecting reinforced pavement at a test track, which relates to the field of vehicle testing, including constructing a test track reinforced pavement library containing a mapping relationship between market segments and reinforced pavement at a test track based on the fatigue cumulative damage theory; when there is a need for reliability verification of a vehicle model to be tested, based on the target market segment to which the vehicle model to be tested belongs, a target test track reinforced pavement corresponding to the target market segment is screened out from the test track reinforced pavement library; the target test track reinforced pavement is used as the test track reinforced pavement of the vehicle model to be tested, so as to verify the reliability of the vehicle model to be tested through the target test track reinforced pavement. Through this application, when it is necessary to verify the reliability of the vehicle model to be tested, it is only necessary to know the market segment to which the vehicle model to be tested belongs, and the reinforced pavement at the test track can be accurately selected through the correlation between the market segment and the reinforced pavement at the test track, without relying on the experience of the test personnel and effectively improving the accuracy of the selection of the reinforced pavement at the test track.

Description

Technical Field

[0001] The present application relates to the field of vehicle testing, and in particular to a method, device, equipment and readable storage medium for selecting a reinforced road surface in a test track. Background Art

[0002] Reliability is one of the important indicators for evaluating product quality, and is particularly critical for the automotive industry. Therefore, in order to ensure the reliability and stability of vehicles under various road conditions, it is essential to test the reliability of existing automotive products, which means that reliability tests need to be conducted on the entire vehicle. Among them, reliability tests based on the reinforced road surface of the test track can shorten the test cycle, reduce test costs and development costs, so reliability tests on the entire vehicle through the reinforced road surface of the test track have become a common practice for various automobile manufacturers.

[0003] In the related art, before the reliability verification of the whole vehicle is carried out based on the reinforced pavement of the test track, the reinforced pavement of the test track for reliability verification is often selected based on the rich experience of the test personnel; however, since there are many types of reinforced pavements, selecting the reinforced pavement of the test track by empirical methods not only requires a high level of experience from the test personnel, but also cannot guarantee the accuracy of the selection of the reinforced pavement of the test track. Summary of the invention

[0004] The present application provides a method, device, equipment and readable storage medium for selecting a reinforced pavement of a test track, which not only does not rely on the experience of test personnel but also can effectively improve the accuracy of the selection of reinforced pavement of the test track.

[0005] In a first aspect, an embodiment of the present application provides a method for selecting a reinforced pavement of a test track, the method comprising the following steps:

[0006] Building a test track reinforced pavement library based on fatigue cumulative damage theory, wherein the test track reinforced pavement library includes a mapping relationship between market segments and test track reinforced pavements;

[0007] When there is a need for reliability verification of the vehicle model to be tested, a target test track reinforced pavement corresponding to the target market segment is selected from the test track reinforced pavement library based on the target market segment to which the vehicle model to be tested belongs;

[0008] The target test track reinforced road surface is used as the test track reinforced road surface of the vehicle model to be tested, so as to verify the reliability of the vehicle model to be tested through the target test track reinforced road surface.

[0009] In combination with the first aspect, in one implementation, the test track reinforced pavement library is constructed based on the fatigue cumulative damage theory, and the test track reinforced pavement library contains a mapping relationship between market segments and test track reinforced pavements, including:

[0010] For each market segment, obtain the user road surface damage spectrum obtained by driving the target vehicle model corresponding to the market segment on the target user road surface at a preset speed, and determine the target quantile value according to the probability distribution of the load extreme value in the user road surface damage spectrum;

[0011] Acquire multiple test track road surface damage spectra obtained after the target vehicle type travels on different types of test track roads at the preset vehicle speed;

[0012] Determining at least one target test track road surface from a plurality of test track road surfaces according to a relationship between a load extreme value corresponding to the target quantile value and a preset load extreme value range corresponding to a damage spectrum of each test track road surface;

[0013] The target test track road surface is used as a test track enhanced road surface corresponding to the market segment where the target vehicle model is located, so as to form a test track enhanced road surface library.

[0014] In combination with the first aspect, in one implementation, determining a target test track road surface from a plurality of test track road surfaces according to a relationship between a load extreme value corresponding to the target quantile value and a preset load extreme value range corresponding to each test track road surface damage spectrum includes:

[0015] If the load extreme value corresponding to the target quantile value is within the preset load extreme value range corresponding to the first test track road surface damage spectrum, the first test track road surface corresponding to the first test track road surface damage spectrum is used as the target test track road surface;

[0016] If the load extreme value corresponding to the target quantile value is outside the preset load extreme value range corresponding to the first test track road surface damage spectrum, the first test track road surface corresponding to the first test track road surface damage spectrum is not used as the target test track road surface.

[0017] In combination with the first aspect, in one embodiment, the target quantile value includes a 95% quantile value and a 99% quantile value.

[0018] In combination with the first aspect, in one implementation, the probability distribution is a normal distribution.

[0019] In a second aspect, an embodiment of the present application provides a device for selecting a reinforced road surface for a test track, and the device for selecting a reinforced road surface for a test track comprises:

[0020] A construction module, which is used to construct a test track reinforced pavement library based on fatigue cumulative damage theory, wherein the test track reinforced pavement library includes a mapping relationship between market segments and test track reinforced pavements;

[0021] A selection module is used for selecting a target test field reinforced pavement corresponding to the target market segment from the test field reinforced pavement library based on the target market segment to which the test model belongs when there is a need for reliability verification of the test model; and using the target test field reinforced pavement as the test field reinforced pavement of the test model to verify the reliability of the test model through the target test field reinforced pavement.

[0022] In conjunction with the second aspect, in one implementation, the building block is specifically used for:

[0023] For each market segment, obtain the user road surface damage spectrum obtained by driving the target vehicle model corresponding to the market segment on the target user road surface at a preset speed, and determine the target quantile value according to the probability distribution of the load extreme value in the user road surface damage spectrum;

[0024] Acquire multiple test track road surface damage spectra obtained after the target vehicle type travels on different types of test track roads at the preset vehicle speed;

[0025] Determining at least one target test track road surface from a plurality of test track road surfaces according to a relationship between a load extreme value corresponding to the target quantile value and a preset load extreme value range corresponding to a damage spectrum of each test track road surface;

[0026] The target test track road surface is used as a test track enhanced road surface corresponding to the market segment where the target vehicle model is located, so as to form a test track enhanced road surface library.

[0027] In conjunction with the second aspect, in one implementation, the building block is further used to:

[0028] If the load extreme value corresponding to the target quantile value is within the preset load extreme value range corresponding to the first test track road surface damage spectrum, the first test track road surface corresponding to the first test track road surface damage spectrum is used as the target test track road surface;

[0029] If the load extreme value corresponding to the target quantile value is outside the preset load extreme value range corresponding to the first test track road surface damage spectrum, the first test track road surface corresponding to the first test track road surface damage spectrum is not used as the target test track road surface.

[0030] In conjunction with the second aspect, in one embodiment, the target quantile value includes a 95% quantile value and a 99% quantile value.

[0031] In combination with the second aspect, in one implementation, the probability distribution is a normal distribution.

[0032] In a third aspect, an embodiment of the present application provides a device for selecting a reinforced pavement surface for a test track, the device comprising a processor, a memory, and a test track reinforced pavement surface selection program stored in the memory and executable by the processor, wherein when the test track reinforced pavement surface selection program is executed by the processor, the steps of the aforementioned test track reinforced pavement surface selection method are implemented.

[0033] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which is stored a test field reinforced pavement selection program, wherein when the test field reinforced pavement selection program is executed by a processor, the steps of the aforementioned test field reinforced pavement selection method are implemented.

[0034] The beneficial effects brought by the technical solution provided by the embodiment of the present application include at least:

[0035] The fatigue cumulative damage theory is used to objectively establish the correlation between the market segments and the reinforced pavement of the test track to reflect the actual stress conditions of the vehicle in different market segments. Therefore, when it is necessary to verify the reliability of the vehicle model to be tested, it is only necessary to know the market segment to which the vehicle model to be tested belongs. The reinforced pavement of the test track can be accurately selected for reliability verification of the vehicle model to be tested through the correlation between the market segment and the reinforced pavement of the test track, without relying on the experience of the test personnel, and effectively improving the accuracy of the selection of the reinforced pavement of the test track. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This is a flow chart of an embodiment of the method for selecting a reinforced pavement at a test track of the present application;

[0037] Figure 2 For this application Figure 1 A detailed flow chart of step S10;

[0038] Figure 3 This is a schematic diagram of the hardware structure of the test track reinforced road surface selection equipment involved in the embodiment of the present application. DETAILED DESCRIPTION

[0039] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0040] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit "first", "second" and "third" to different types.

[0041] In the description of the embodiments of the present application, "exemplary", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "for example" or "for example" is intended to present related concepts in a specific way.

[0042] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; the “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0043] In some processes described in the embodiments of the present application, multiple operations or steps that appear in a specific order are included, but it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or in parallel, and the sequence number of the operation is only used to distinguish the different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.

[0044] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0045] In a first aspect, an embodiment of the present application provides a method for selecting a reinforced pavement surface at a test track.

[0046] In one embodiment, referring to Figure 1 , Figure 1 This is a flow chart of an embodiment of the method for selecting a reinforced road surface for a test track in this application. Figure 1As shown in FIG. 1 , the method for selecting the reinforced pavement of the test track includes the following steps:

[0047] Step S10: constructing a test track reinforced pavement library based on fatigue cumulative damage theory, wherein the test track reinforced pavement library includes a mapping relationship between market segments and test track reinforced pavements;

[0048] Exemplarily, it can be understood that when a vehicle is traveling on a road surface, the flatness of the road surface can often be used as an incentive to change the force on the vehicle, that is, the worse the flatness of the road surface (i.e., the bumpy road surface), the more dramatic the change in the force on the vehicle, and the greater the damage to the vehicle. Although the pseudo-damage of the axle head acceleration can be used to establish the correlation between the user road surface and the reinforced road surface of the test track, it is impossible to directly reflect the force of the vehicle because it represents the kinematic characteristics, and thus cannot accurately reflect the road condition of the vehicle, and thus cannot accurately establish the correlation between the user road surface and the reinforced road surface of the test track. In this embodiment, the fatigue cumulative damage theory is used to accurately reflect the force of the vehicle when traveling on roads with different working conditions, and then establish a mapping relationship between different market segments and the reinforced road surface of the test track, thereby forming a test track reinforced road surface library.

[0049] Among them, for the fatigue cumulative damage theory, it can be understood that fatigue damage is mainly caused by cyclically changing loads. If the vehicle's input load is the same, then the fatigue damage generated should also be the same. Therefore, if the vehicle's load input in actual use is known, then the various road surfaces can be mixed in a certain proportion in the test field to reproduce this load input.

[0050] It should be understood that in the field of automobile market, the automobile market can be segmented according to application scenarios, application objects, etc. to obtain multiple market segments; for example, by segmenting the automobile market according to application scenarios, long-distance express market segments, short-distance express market segments, construction site market segments, etc. can be obtained, and for models in the same market segment, their performance and parameters are often highly similar. It should be noted that the above market segments are only presentations of embodiments, and can be determined according to actual needs, and are not limited here.

[0051] It can be seen that the mapping relationship between different market segments and the reinforced road surface of the test track is equivalent to the mapping relationship between the vehicle model and the reinforced road surface of the test track; therefore, this embodiment establishes the mapping relationship between the vehicle model and the reinforced road surface of the test track by establishing the mapping relationship between different market segments and the reinforced road surface of the test track. For example, market segment A includes vehicle models A1, B1 and C1, and the reinforced road surface of the test track corresponding to market segment A is X1, then the reinforced road surface of the test track corresponding to vehicle models A1, B1 and C1 are all X1.

[0052] Step S20: When there is a need for reliability verification of the vehicle model to be tested, a target test track reinforced pavement corresponding to the target market segment is selected from the test track reinforced pavement library based on the target market segment to which the vehicle model to be tested belongs;

[0053] Exemplarily, in this embodiment, when the vehicle model to be tested needs to undergo reliability verification, the target market segment to which the vehicle model to be tested belongs is first determined, and then the target test field reinforced pavement corresponding to the target market segment is determined based on the mapping relationship between the market segments and the test field reinforced pavement stored in the test field reinforced pavement library.

[0054] Step S30: using the target test track reinforced road surface as the test track reinforced road surface of the vehicle model to be tested, so as to verify the reliability of the vehicle model to be tested through the target test track reinforced road surface.

[0055] Exemplarily, in this embodiment, after the target test track reinforced road surface corresponding to the target market segment is determined, the target test track reinforced road surface is directly used as the test track reinforced road surface for the vehicle model to be tested, that is, the reliability of the vehicle model to be tested is verified on the target test track reinforced road surface.

[0056] It can be seen that this embodiment objectively establishes the correlation between the market segment and the reinforced pavement of the test track through the fatigue cumulative damage theory to reflect the actual stress conditions of the vehicle in different market segments. Therefore, when it is necessary to verify the reliability of the vehicle model to be tested, it is only necessary to know the market segment to which the vehicle model to be tested belongs. The reinforced pavement of the test track used for the reliability verification of the vehicle model to be tested can be accurately selected through the correlation between the market segment and the reinforced pavement of the test track, without relying on the experience of the test personnel, and effectively improving the accuracy of the selection of the reinforced pavement of the test track.

[0057] Furthermore, in one embodiment, step S10 specifically includes:

[0058] Step S101: for each market segment, obtaining a user road surface damage spectrum obtained by driving a target vehicle model corresponding to the market segment on a target user road surface at a preset speed, and determining a target quantile value according to a probability distribution of load extreme values ​​in the user road surface damage spectrum;

[0059] Step S102: obtaining a plurality of test track road surface damage spectra obtained after the target vehicle type travels on different types of test track roads at the preset vehicle speed;

[0060] Step S103: determining at least one target test track road surface from a plurality of test track road surfaces according to a relationship between a load extreme value corresponding to the target quantile value and a preset load extreme value range corresponding to each test track road surface damage spectrum;

[0061] Step S104: using the target test track road surface as a test track enhanced road surface corresponding to the market segment where the target vehicle type is located, so as to form a test track enhanced road surface library.

[0062] Exemplarily, it can be understood that for all models in the same market segment, their performance and parameters are often highly similar. Therefore, when establishing a mapping relationship between a market segment and a test track reinforced road surface, it is only necessary to select one or several models in the market segment to test drive on a user road surface (user road surface refers to the road surface on which the vehicle runs in an actual scenario) to determine the test track reinforced road surface corresponding to the market segment. Since it is often necessary to verify the reliability of the vehicle under different vehicle speed conditions when verifying the reliability of the vehicle as a whole, the present embodiment can set the vehicle speed when the vehicle is tested, and make the vehicle run on the user road surface and different test track roads at the speed, thereby determining the test track reinforced road surface corresponding to the market segment at different vehicle speeds.

[0063] It should be noted that there are many types of test track pavement at present, including but not limited to comprehensive roads, stone roads, second ring roads, 8-shaped roads, climbing roads, and starting impact roads. The test track reinforced pavement is composed of one or more combinations of the above test track pavement.

[0064] Since the determination method, principle and process of the reinforced pavement of the test track corresponding to each market segment are similar, for the sake of simplicity of description, this embodiment will take the determination of the reinforced pavement X of the test track corresponding to a certain market segment A at a vehicle speed V1 as an example for explanation: a vehicle corresponding to the target model in the market segment A (for example, vehicle Car1 of model B1) is obtained to travel on the target user road at a speed V1, and then the user road damage spectrum is obtained; it should be noted that the road damage spectrum can be obtained by arranging strain sensors on the bearing parts of the vehicle chassis, and the specific method can be based on the SN curve of the material (the SN curve refers to a curve with the fatigue strength of the standard specimen of the material as the ordinate and the logarithm of the fatigue life as the abscissa, which represents the relationship between the fatigue strength and fatigue life of the standard specimen under certain cycle characteristics), and the strain data collected during the operation of the vehicle is processed by rain flow counting, and finally converted into a damage spectrum.

[0065] After obtaining the user's pavement damage spectrum, the target percentile value can be determined based on the probability distribution of the load extreme values ​​in the user's pavement damage spectrum, and the user's pavement conditions can be covered by the load extreme values ​​corresponding to the target percentile value to extract characteristic data that can represent the user's pavement conditions; it should be noted that the specific value of the target percentile value can be determined according to actual needs and is not limited here. For example, it can be the 95% percentile value, the 99% percentile value, the 90% percentile value, or other percentile values.

[0066] At the same time, the vehicle Car1 is also driven at a speed of V1 on different types of test track pavements (such as comprehensive roads, stone roads, second ring roads, 8-shaped roads, climbing roads, starting impact roads, etc.) to obtain the test track pavement damage spectrum corresponding to each type. In order to more accurately reproduce the target user pavement corresponding to the vehicle Car1, the damage condition of the test track reinforced pavement should be equivalent to that of the target user pavement, and should not be too large or too small, so as to ensure the consistency of the failure forms of the two; therefore, for each test track pavement damage spectrum, the upper and middle intervals of all load extreme values ​​corresponding to the test track pavement damage spectrum are selected as the preset load extreme value range. It should be noted that the specific value setting of the load extreme value range can be determined according to actual needs, and the load extreme value ranges corresponding to different test track pavements can be different or the same, which is not limited here.

[0067] Specifically, this embodiment sorts all load extreme values ​​corresponding to the pavement damage spectrum of the test track in descending order to obtain a sorted set, and determines the corresponding load extreme value from the sorted set according to two preset percentages of different sizes, thereby obtaining a preset load extreme value range. For example, the preset percentages are 80% and 95%, and it is assumed that the load extreme value corresponding to 80% of the sorted set corresponding to the comprehensive road pavement damage spectrum is Y1 and the load extreme value corresponding to 95% is Y2, then the preset load extreme value range is [Y1, Y2]. Similarly, the preset load extreme value range corresponding to other pavement damage spectra is obtained.

[0068] Then, at least one target test field pavement is determined based on the relationship between the load extreme value corresponding to the target quantile value and each preset load extreme value range; for example, assuming that the load extreme value corresponding to the target quantile value falls within the preset load extreme value range corresponding to the comprehensive road pavement damage spectrum, the stone road pavement damage spectrum and the second ring road pavement damage spectrum, the target test field pavement includes the comprehensive road, the stone road and the second ring road, then the comprehensive road, the stone road and the second ring road are combined to obtain a test field reinforced pavement, and the test field reinforced pavement is the test field reinforced pavement corresponding to the market segment A where the target vehicle model Car1 is located; when the test field reinforced pavements corresponding to all market segments are obtained, a test field reinforced pavement library can be formed.

[0069] Further, in one embodiment, determining a target test track road surface from a plurality of test track road surfaces according to a relationship between a load extreme value corresponding to the target quantile value and a preset load extreme value range corresponding to each test track road surface damage spectrum includes:

[0070] If the load extreme value corresponding to the target quantile value is within the preset load extreme value range corresponding to the first test track road surface damage spectrum, the first test track road surface corresponding to the first test track road surface damage spectrum is used as the target test track road surface;

[0071] If the load extreme value corresponding to the target quantile value is outside the preset load extreme value range corresponding to the first test track road surface damage spectrum, the first test track road surface corresponding to the first test track road surface damage spectrum is not used as the target test track road surface.

[0072] Exemplarily, in this embodiment, it is determined whether the load extreme value corresponding to the target percentile value is within the preset load extreme value range corresponding to the first test track road surface damage spectrum. If so, the first test track road surface corresponding to the first test track road surface damage spectrum is used as the target test track road surface; if not, the first test track road surface corresponding to the first test track road surface damage spectrum is not used as the target test track road surface, that is, the first test track road surface is eliminated. For example, the target percentile value is the 95% percentile value and its corresponding load extreme value is Z1. If Z1 is within the preset load extreme value range [Y1, Y2] corresponding to the comprehensive road surface damage spectrum, the comprehensive road corresponding to the comprehensive road surface spectrum is used as the target test track road surface; and if Z1 is outside the preset load extreme value range [Y1, Y2] corresponding to the comprehensive road surface damage spectrum, the comprehensive road corresponding to the comprehensive road surface spectrum is not used as the target test track road surface.

[0073] Furthermore, in one embodiment, the target quantile value includes a 95% quantile value and a 99% quantile value.

[0074] Exemplarily, in this embodiment, the target quantile value includes the 95% quantile value and the 99% quantile value, that is, the load extreme value corresponding to the 95% quantile value and the load extreme value corresponding to the 99% quantile value must both fall within the preset load extreme value range corresponding to a certain road surface damage spectrum, and the road surface corresponding to the road surface damage spectrum will be used as the target test track road surface, so as to further improve the accuracy of the test track road surface selection. For example, the load extreme value corresponding to the 95% quantile value of the user road surface damage spectrum corresponding to the vehicle Car1 is Z1, and the load extreme value corresponding to the 99% quantile value is Z2. If both Z1 and Z2 are within the preset load extreme value range [Y1, Y2] corresponding to the comprehensive road surface damage spectrum, the comprehensive road corresponding to the comprehensive road surface spectrum is used as the target test track road surface; and if any one of Z1 and Z2 is outside the preset load extreme value range [Y1, Y2] corresponding to the comprehensive road surface damage spectrum, the comprehensive road corresponding to the comprehensive road surface spectrum is not used as the target test track road surface.

[0075] Furthermore, in one embodiment, the probability distribution is a normal distribution.

[0076] Exemplarily, it is understandable that different users driving the same vehicle model on the same user road surface will have different damage spectra, that is, there is discreteness, but the extreme values ​​of dynamic loads of each user on the same user road surface will obey the probability distribution. In this embodiment, the normal distribution is preferred to characterize the extreme value distribution of dynamic loads on the user road surface, and the load extreme values ​​corresponding to the 95% quantile and the 99% quantile are used to cover the 95% and 99% user groups to avoid covering certain special extreme cases, because some special extreme cases are not only difficult to achieve, but also cause a waste of product development capabilities.

[0077] In a second aspect, an embodiment of the present application also provides a device for selecting a reinforced road surface at a test track.

[0078] In one embodiment, the device for selecting a reinforced road surface of a test track includes:

[0079] A construction module, which is used to construct a test track reinforced pavement library based on fatigue cumulative damage theory, wherein the test track reinforced pavement library includes a mapping relationship between market segments and test track reinforced pavements;

[0080] A selection module is used for selecting a target test field reinforced pavement corresponding to the target market segment from the test field reinforced pavement library based on the target market segment to which the test model belongs when there is a need for reliability verification of the test model; and using the target test field reinforced pavement as the test field reinforced pavement of the test model to verify the reliability of the test model through the target test field reinforced pavement.

[0081] Furthermore, in one embodiment, the construction module is specifically used to:

[0082] For each market segment, obtain the user road surface damage spectrum obtained by driving the target vehicle model corresponding to the market segment on the target user road surface at a preset speed, and determine the target quantile value according to the probability distribution of the load extreme value in the user road surface damage spectrum;

[0083] Acquire multiple test track road surface damage spectra obtained after the target vehicle type travels on different types of test track roads at the preset vehicle speed;

[0084] Determining at least one target test track road surface from a plurality of test track road surfaces according to a relationship between a load extreme value corresponding to the target quantile value and a preset load extreme value range corresponding to a damage spectrum of each test track road surface;

[0085] The target test track road surface is used as a test track enhanced road surface corresponding to the market segment where the target vehicle model is located, so as to form a test track enhanced road surface library.

[0086] Furthermore, in one embodiment, the construction module is specifically used to:

[0087] If the load extreme value corresponding to the target quantile value is within the preset load extreme value range corresponding to the first test track road surface damage spectrum, the first test track road surface corresponding to the first test track road surface damage spectrum is used as the target test track road surface;

[0088] If the load extreme value corresponding to the target quantile value is outside the preset load extreme value range corresponding to the first test track road surface damage spectrum, the first test track road surface corresponding to the first test track road surface damage spectrum is not used as the target test track road surface.

[0089] Furthermore, in one embodiment, the target quantile value includes a 95% quantile value and a 99% quantile value.

[0090] Furthermore, in one embodiment, the probability distribution is a normal distribution.

[0091] Among them, the functional implementation of each module in the above-mentioned test track reinforced road surface selection device corresponds to the various steps in the above-mentioned test track reinforced road surface selection method embodiment, and its functions and implementation processes will not be repeated here one by one.

[0092] In a third aspect, an embodiment of the present application provides a device for selecting a reinforced road surface for a test track. The device for selecting a reinforced road surface for a test track may be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0093] Reference Figure 3 , Figure 3 The hardware structure diagram of the test track reinforced road surface selection device involved in the embodiment of the present application is shown in FIG. In the embodiment of the present application, the test track reinforced road surface selection device may include a processor, a memory, a communication interface, and a communication bus.

[0094] The communication bus may be of any type and is used to interconnect the processor, the memory, and the communication interface.

[0095] The communication interface includes input / output (I / O) interface, physical interface and logical interface, etc., which are used to realize the interconnection of devices inside the test field reinforced road surface selection equipment, and the interface used to realize the interconnection between the test field reinforced road surface selection equipment and other devices (such as other computing devices or user devices). The physical interface can be an Ethernet interface, an optical fiber interface, an ATM interface, etc.; the user device can be a display (Display), a keyboard (Keyboard), etc.

[0096] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0097] The processor may be a general-purpose processor, and the general-purpose processor may call the test track reinforced road surface selection program stored in the memory and execute the test track reinforced road surface selection method provided in the embodiment of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the test track reinforced road surface selection program is called may refer to the various embodiments of the test track reinforced road surface selection method of the present application, and will not be repeated here.

[0098] Those skilled in the art will understand that Figure 3 The hardware structure shown in the figure does not constitute a limitation on the present application, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0099] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium.

[0100] The readable storage medium of the present application stores a test track reinforced road surface selection program, wherein when the test track reinforced road surface selection program is executed by a processor, the steps of the test track reinforced road surface selection method as described above are implemented.

[0101] Among them, the method implemented when the test track reinforced road surface selection program is executed can refer to the various embodiments of the test track reinforced road surface selection method of the present application, and will not be repeated here.

[0102] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.

[0103] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, disk, CD) as described above, and includes a number of instructions for a terminal device to execute the methods described in each embodiment of the present application.

[0104] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for selecting a reinforced road surface at a test track, characterized in that: The test track reinforced pavement selection method comprises the following steps: Building a test track reinforced pavement library based on fatigue cumulative damage theory, wherein the test track reinforced pavement library includes a mapping relationship between market segments and test track reinforced pavements; When there is a need for reliability verification of the vehicle model to be tested, a target test track reinforced pavement corresponding to the target market segment is selected from the test track reinforced pavement library based on the target market segment to which the vehicle model to be tested belongs; Using the target test track reinforced road surface as the test track reinforced road surface of the vehicle model to be tested, so as to verify the reliability of the vehicle model to be tested through the target test track reinforced road surface; The test track reinforced pavement library is constructed based on the fatigue cumulative damage theory, and the test track reinforced pavement library contains the mapping relationship between the market segments and the test track reinforced pavement, including: For each market segment, obtain the user road surface damage spectrum obtained by driving the target vehicle model corresponding to the market segment on the target user road surface at a preset speed, and determine the target quantile value according to the probability distribution of the load extreme value in the user road surface damage spectrum; Acquire multiple test track road surface damage spectra obtained after the target vehicle type travels on different types of test track roads at the preset vehicle speed; Determining at least one target test track road surface from a plurality of test track road surfaces according to a relationship between a load extreme value corresponding to the target quantile value and a preset load extreme value range corresponding to a damage spectrum of each test track road surface; The target test track road surface is used as a test track reinforced road surface corresponding to the market segment where the target vehicle type is located, so as to form a test track reinforced road surface library; The determining of a target test track road surface from a plurality of test track road surfaces according to a relationship between a load extreme value corresponding to the target quantile value and a preset load extreme value range corresponding to a damage spectrum of each test track road surface comprises: If the load extreme value corresponding to the target quantile value is within the preset load extreme value range corresponding to the first test track road surface damage spectrum, the first test track road surface corresponding to the first test track road surface damage spectrum is used as the target test track road surface; If the load extreme value corresponding to the target quantile value is outside the preset load extreme value range corresponding to the first test track road surface damage spectrum, the first test track road surface corresponding to the first test track road surface damage spectrum is not used as the target test track road surface.

2. The method for selecting a reinforced road surface for a test track according to claim 1, characterized in that: The target quantile values ​​include the 95% quantile value and the 99% quantile value.

3. The method for selecting a reinforced road surface for a test track according to claim 1, characterized in that: The probability distribution is a normal distribution.

4. A device for selecting a reinforced road surface at a test track, characterized in that: The test track reinforced road surface selection device comprises: A construction module, which is used to construct a test track reinforced pavement library based on fatigue cumulative damage theory, wherein the test track reinforced pavement library includes a mapping relationship between market segments and test track reinforced pavements; A selection module is used for selecting a target test field reinforced road surface corresponding to the target market segment from the test field reinforced road surface library based on the target market segment to which the test field reinforced road surface belongs when there is a need for reliability verification of the test model; using the target test field reinforced road surface as the test field reinforced road surface of the test model, so as to perform reliability verification of the test model through the target test field reinforced road surface; Wherein, the building blocks are specifically used for: For each market segment, obtain the user road surface damage spectrum obtained by driving the target vehicle model corresponding to the market segment on the target user road surface at a preset speed, and determine the target quantile value according to the probability distribution of the load extreme value in the user road surface damage spectrum; Acquire multiple test track road surface damage spectra obtained after the target vehicle type travels on different types of test track roads at the preset vehicle speed; Determining at least one target test track road surface from a plurality of test track road surfaces according to a relationship between a load extreme value corresponding to the target quantile value and a preset load extreme value range corresponding to a damage spectrum of each test track road surface; The target test track road surface is used as a test track reinforced road surface corresponding to the market segment where the target vehicle type is located, so as to form a test track reinforced road surface library; The building blocks are also specifically used for: If the load extreme value corresponding to the target quantile value is within the preset load extreme value range corresponding to the first test track road surface damage spectrum, the first test track road surface corresponding to the first test track road surface damage spectrum is used as the target test track road surface; If the load extreme value corresponding to the target quantile value is outside the preset load extreme value range corresponding to the first test track road surface damage spectrum, the first test track road surface corresponding to the first test track road surface damage spectrum is not used as the target test track road surface.

5. A test track reinforced road surface selection device, characterized in that: The test track reinforced pavement selection device includes a processor, a memory, and a test track reinforced pavement selection program stored in the memory and executable by the processor. When the test track reinforced pavement selection program is executed by the processor, the steps of the test track reinforced pavement selection method as described in any one of claims 1 to 3 are implemented.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a test track reinforced pavement selection program, wherein when the test track reinforced pavement selection program is executed by a processor, the steps of the test track reinforced pavement selection method according to any one of claims 1 to 3 are implemented.

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