Method, device and equipment for testing static adhesion coefficient of automobile tire and storage medium

Abstract

The invention discloses an automobile tire static adhesion coefficient testing method, device and equipment and a storage medium, and relates to the technical field of automobile chassis braking performance, and the method comprises the steps: carrying out the traction of linear increase tension of an automobile through a traction device; stress data of tires of the vehicle at different stress positions are monitored on the basis of the working time of the traction device, and the stress data comprise gravity borne by the tires, traction force, vertical force and longitudinal force; according to the strategy, the static adhesion coefficient of the tire can be accurately measured, then the parking performance of the automobile is guaranteed through forward design, verification on a large-angle slope is not needed, and safety is high.

Description

Technical Field

[0001] The invention relates to the technical field of automobile chassis braking performance, and in particular to a method, device, equipment and storage medium for testing static adhesion coefficient of automobile tires. Background Art

[0002] The hill-holding ability of a car is jointly determined by three requirements: the mass distribution of the car, the capacity of the braking system, and the static grip adhesion coefficient of the tires. The parking ability of a car on a slope is generally determined by parking the whole vehicle on a slope with a specific slope angle, and the ability of the whole vehicle to stay on the slope is judged by whether it can stay on the slope stably. If the slope can be successfully held, it means that the mass distribution of the car, the capacity of the braking system, and the static grip adhesion coefficient of the tires can meet the hill-holding requirements of the slope angle. On the contrary, it means that at least one of the three conditions does not meet the hill-holding requirements. The static grip adhesion coefficient of the tire is one of the important factors affecting the car's hill-holding ability.

[0003] The tire adhesion coefficient of a car is divided into two types: dynamic adhesion coefficient and static adhesion coefficient. The dynamic adhesion coefficient is rolling friction, and the static adhesion coefficient is sliding friction. The dynamic adhesion coefficient test method of tires is relatively mature. The tire adhesion coefficient is determined by the tire and the actual road surface. However, the existing vehicle parking verification method has safety hazards such as sliding down the slope and rolling over when testing parking on a large-angle slope.

[0004] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of the present invention is to provide a method, device, equipment and storage medium for testing the static adhesion coefficient of automobile tires, aiming to solve the technical problem of low safety of the existing vehicle holding slope verification method.

[0006] To achieve the above object, the present invention provides a method for testing the static adhesion coefficient of automobile tires. The method is applied to a vehicle, wherein the vehicle is connected to a traction device, and the method comprises the following steps:

[0007] The vehicle is pulled linearly by increasing the pulling force through the traction device;

[0008] Monitoring force data of the tire of the vehicle at different force-bearing positions based on the working time of the traction device, wherein the force data includes gravity, traction, vertical force and longitudinal force exerted on the tire;

[0009] The static adhesion coefficient of the target vehicle tire is determined based on the force data.

[0010] In one embodiment, the step of determining the static adhesion coefficient of the target vehicle tire based on the force data includes:

[0011] generating a static adhesion coefficient curve based on the force data;

[0012] A target vehicle tire static adhesion coefficient is determined based on the static adhesion coefficient curve.

[0013] In one embodiment, after the step of generating a static adhesion coefficient curve based on the force data, the method further includes:

[0014] Obtaining a predicted static adhesion coefficient curve;

[0015] The static adhesion coefficient curve is analyzed based on the predicted static adhesion coefficient curve to determine the accuracy of the static adhesion coefficient curve.

[0016] In one embodiment, the step of obtaining a predicted static adhesion coefficient curve includes:

[0017] Get historical test data;

[0018] Training the prediction model based on the historical test data to obtain a target prediction model;

[0019] The force data is analyzed by the target prediction model to obtain a predicted static adhesion coefficient curve.

[0020] In one embodiment, the step of training the prediction model based on the historical test data to obtain the target prediction model includes:

[0021] Processing the historical test data through a machine learning algorithm to obtain target test data;

[0022] By performing cross-validation processing on the prediction model, the performance of the prediction model is evaluated, and the target parameters of the prediction model are obtained;

[0023] After the prediction model is improved by the target parameters, the prediction model is trained by the target test data to obtain a target prediction model.

[0024] In one embodiment, after the step of monitoring the force data of the tire of the vehicle at different force positions based on the working time of the traction device, the following steps are included:

[0025] When it is monitored that the sum of the longitudinal component force and the traction force exerted on the tire is greater than the preset longitudinal force, the traction device is controlled to stop traction.

[0026] In one embodiment, after the step of determining the static adhesion coefficient of the target vehicle tire based on the force applied to the vehicle during traction, the method further includes:

[0027] The static adhesion performance of the vehicle tire on the ramp is evaluated based on the target vehicle tire static adhesion coefficient to obtain an evaluation result.

[0028] In addition, to achieve the above-mentioned purpose, the present invention also provides a vehicle tire static adhesion coefficient testing device, the device comprising:

[0029] A traction module, used for linearly increasing the pulling force of the vehicle to pull it through a traction device;

[0030] When it is detected that the vehicle is slipping, controlling the traction device to stop traction;

[0031] A data acquisition module, used to acquire force data of the vehicle during traction, wherein the force data includes vertical force and longitudinal force exerted on the tire;

[0032] The analysis module is used to determine the static adhesion coefficient of the target vehicle tire based on the force data.

[0033] In addition, to achieve the above-mentioned purpose, the present invention also proposes a vehicle tire static adhesion coefficient testing device, the device comprising: a memory, a processor, and a vehicle tire static adhesion coefficient testing program stored in the memory and executable on the processor, the vehicle tire static adhesion coefficient testing program being configured to implement the steps of the vehicle tire static adhesion coefficient testing method as described above.

[0034] In addition, to achieve the above-mentioned purpose, the present invention also proposes a storage medium, on which a vehicle tire static adhesion coefficient test program is stored. When the vehicle tire static adhesion coefficient test program is executed by a processor, the steps of the vehicle tire static adhesion coefficient test method as described above are implemented.

[0035] One or more technical solutions proposed in this application have at least the following technical effects:

[0036] The vehicle is pulled by linearly increasing the pulling force through the traction device; the force data of the vehicle's tires at different force positions are monitored based on the working time of the traction device, where the force data includes the gravity, traction, vertical force and longitudinal force exerted on the tires; the static adhesion coefficient of the target vehicle tire is determined based on the force data. This strategy can accurately measure the static adhesion coefficient of the tire, and then ensure the parking performance of the vehicle through forward design. It does not need to be verified on a slope with a large angle, and has high safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0038] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0039] Figure 1 A schematic diagram of a flow chart provided for the first embodiment of the method for testing the static adhesion coefficient of automobile tires of the present application;

[0040] Figure 2 A schematic diagram of a flow chart provided for the second embodiment of the method for testing the static adhesion coefficient of automobile tires of the present application;

[0041] Figure 3 A two-dimensional distribution diagram of sensors provided in Example 2 of the method for testing static adhesion coefficient of automobile tires of this application;

[0042] Figure 4 This is a schematic diagram of the module structure of a vehicle tire static adhesion coefficient testing device according to an embodiment of the present application;

[0043] Figure 5 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the vehicle tire static adhesion coefficient testing method in the embodiment of the present application.

[0044] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0045] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0046] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0047] The commonly used method at present is the static adhesion coefficient test method based on the tire bench. However, the simulated road surface of the bench test is sandpaper, and there is a difference between the static adhesion coefficient of the tire tested on the bench and the actual slope performance of the car. Since the static adhesion coefficient of the tire is a variable value and the parking condition of the car is a static working condition, the peak value of the static adhesion coefficient of the tire occurs in the process of the vehicle changing from static to dynamic parking, which makes it difficult to test the peak value of the static adhesion coefficient based on the tire of the whole vehicle.

[0048] This strategy establishes a method for testing the static adhesion coefficient of automobile tires based on actual road surfaces and using the entire vehicle as a test carrier.

[0049] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a vehicle tire static adhesion coefficient test device, etc. The following takes a vehicle tire static adhesion coefficient test device as an example to illustrate this embodiment and the following embodiments.

[0050] Based on this, the present application embodiment provides a method for testing the static adhesion coefficient of a vehicle tire, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the method for testing the static adhesion coefficient of automobile tires of the present application.

[0051] In this embodiment, the vehicle tire static adhesion coefficient test method includes steps S10 to S30:

[0052] Step S10, using a traction device to linearly increase the pulling force on the vehicle to pull it;

[0053] It should be noted that the system for implementing the vehicle tire static adhesion coefficient test method of this strategy at least includes: a traction device, a traction rope, a sensor, and a data acquisition system.

[0054] The traction device is used to apply traction to the vehicle, and the traction device can gradually increase the traction according to demand; the traction device applies traction to the whole vehicle through a rope; the sensor is a force or torque sensor, which is installed at the wheel end of the vehicle and is used to measure the vertical force and longitudinal force carried by the tire. The data acquisition system is used to collect data measured by the sensor and calculate the static adhesion coefficient of the tire based on the measured data.

[0055] It should be understood that at this time it is necessary to ensure that the vehicle to be tested is in a parked state, the vehicle is parked firmly on the slope, and the traction device is connected to the vehicle through a traction rope. The working principle of the traction device is based on Newton's third law and the lever principle, and traction is generated through an electric motor, engine or other power source.

[0056] With the trend of electrification, the climbing performance of off-road vehicles is constantly improving. Many off-road vehicles can climb 100% of the slope. During the climbing process, users' requirements for the parking performance of the car on the slope are also constantly increasing. As a result, the peak requirements for the static parking adhesion coefficient of the tire are increased. Since the bench-based test method does not match the actual road, the bench test results are of little significance to the development of the parking performance of the whole vehicle.

[0057] Compared with the existing vehicle parking test method, the existing vehicle parking slope verification method verifies the comprehensive performance of the three elements of the vehicle parking ability, and cannot determine the static adhesion capacity of the tire. This strategy can accurately measure the static adhesion coefficient of the tire, and can guide the tire design and selection work during the automobile design stage. The parking performance of the vehicle is guaranteed through forward design.

[0058] Commonly used ramps in the automobile development stage include 20%, 40%, 60%, and 100% ramps. The existing vehicle parking verification method has safety hazards such as slipping and overturning when testing on a large-angle ramp. This strategy tests the static adhesion performance of the tire and the road surface, and does not need to be verified on a large-angle slope, which is safer than the existing method.

[0059] Step S20, monitoring the force data of the tire of the vehicle at different force-bearing positions based on the working time of the traction device, wherein the force data includes gravity, traction, vertical force and longitudinal force exerted on the tire;

[0060] It should be noted that gravity is the vertical downward force generated by the weight of the vehicle and the tires themselves.

[0061] Traction is the horizontal pulling force applied by the traction device trying to move the tire on the slope.

[0062] Vertical force is the perpendicular force between the tire and the slope contact surface, usually equal to but opposite to gravity.

[0063] Longitudinal force is the horizontal force between the tire and the slope contact surface, which is generated by traction.

[0064] These force data can be used to evaluate the performance of the tire, especially its grip under different road conditions, which is crucial for evaluating vehicle safety and performance.

[0065] In the specific implementation, the data acquisition system measures the vertical force Fz and the longitudinal force Fx on the wheel. Fz is the vertical force perpendicular to the slope road surface applied by the vehicle on the tire on the ramp. The longitudinal force Fx is the parking force applied by the tire to the vehicle. When the traction device does not apply force, Fx is the component force that overcomes the vehicle's ramp direction. After the traction device applies traction, Fx overcomes the component force of gravity in the ramp direction of the vehicle and the traction force of the traction device.

[0066] Furthermore, after step S20, the method further includes:

[0067] When it is monitored that the sum of the longitudinal component of the gravity acting on the tire and the traction force is greater than the preset longitudinal force, the traction device is controlled to stop traction.

[0068] In the specific implementation, the traction device linearly increases the pulling force on the vehicle, and Fx increases synchronously. When the sum of the component force of the vehicle's slope direction and the traction force of the traction device is greater than the Fx limit value, the vehicle's parking static balance is destroyed, the vehicle begins to slide, and the traction device stops pulling. In this process, Fx increases from small to large, and an extreme peak value appears. When the peak value appears, the tire static peak adhesion coefficient μ-peak value.

[0069] Step S30, determining the static adhesion coefficient of the target vehicle tire based on the force data.

[0070] like Figure 2 As shown, Figure 2 is the static adhesion coefficient curve, where the horizontal axis is the traction force and the vertical axis is the static adhesion coefficient μ = Fx / Fz, μ peak The value is the static adhesion coefficient of the target vehicle tire.

[0071] It should be noted that the static adhesion coefficient of the target vehicle tire is a quantity that describes the maximum friction resistance between the tire and the road surface before it starts to slide. It is a dimensionless value used to characterize the adhesion ability between the tire and the road surface under static friction conditions.

[0072] Furthermore, after step S30, the method further includes:

[0073] The static adhesion performance of the vehicle tire on the ramp is evaluated based on the target vehicle tire static adhesion coefficient, and an evaluation result is obtained.

[0074] It should be noted that by analyzing environmental factors and analyzing the changing trend of the static adhesion coefficient with different factors (such as slope, road surface humidity, etc.), it is possible to determine under which conditions the tire's adhesion performance is optimal and under which conditions the performance is poor.

[0075] The static adhesion coefficient is used to evaluate the tire's grip under static conditions and determine its adhesion performance on different slopes. If the adhesion coefficient is lower than the set safety threshold, measures need to be taken, such as replacing the tire or improving road conditions.

[0076] The present embodiment provides a method for testing the static adhesion coefficient of automobile tires, which uses a traction device to linearly increase the pulling force on the vehicle for traction; monitors the force data of the vehicle tires at different force positions based on the working time of the traction device, wherein the force data includes the gravity, traction, vertical force and longitudinal force exerted on the tires; determines the static adhesion coefficient of the target automobile tire based on the force data. This strategy can accurately measure the static adhesion coefficient of the tire, and then ensure the parking performance of the automobile through forward design, without the need for verification on a slope with a large angle, and has high safety.

[0077] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 3 , step S30 includes steps S301 to S302:

[0078] Step S301, generating a static adhesion coefficient curve based on the force data;

[0079] In the specific implementation, a data acquisition system is used to record the force data of the tire under different conditions, including the horizontal traction (Fx) and the vertical force (Fz); based on the collected Fx and Fz values, the static adhesion coefficient μ=Fx / Fz is calculated; a series of calculated static adhesion coefficients and corresponding traction values ​​are plotted into a curve, which describes the maximum static friction capacity between the tire and the road under different traction forces.

[0080] Furthermore, after step S301, the following steps are further included:

[0081] Obtaining a predicted static adhesion coefficient curve;

[0082] The static adhesion coefficient curve is analyzed based on the predicted static adhesion coefficient curve to determine the accuracy of the static adhesion coefficient curve.

[0083] In the specific implementation, the historical test data is used to generate a predicted static adhesion coefficient curve by training the prediction model, and then the accuracy of the prediction model is determined by comparing the predicted curve with the actual curve. The higher the degree of agreement between the two, the more accurate the static adhesion coefficient curve is.

[0084] Furthermore, the step of obtaining the predicted static adhesion coefficient curve includes:

[0085] Get historical test data;

[0086] The prediction model is trained based on historical test data to obtain a target prediction model;

[0087] The force data is analyzed through the target prediction model to obtain the predicted static adhesion coefficient curve.

[0088] In the specific implementation, the historical test data is processed using a machine learning algorithm to create a target test data set; cross-validation is performed to evaluate the performance of the prediction model, and the data set is divided into multiple parts, one of which is used as a test set and the rest as a training set in turn. Based on the results of the cross-validation, the model parameters are adjusted to improve the model, and the target prediction model is used to analyze the force data to generate a predicted static adhesion coefficient curve.

[0089] Furthermore, the step of training the prediction model based on historical test data to obtain the target prediction model includes:

[0090] The historical test data is processed through machine learning algorithms to obtain target test data;

[0091] By cross-validating the prediction model, the performance of the prediction model is evaluated and the target parameters of the prediction model are obtained;

[0092] After improving the prediction model through target parameters, the prediction model is trained through target test data to obtain the target prediction model.

[0093] In the specific implementation, historical test data under the same or similar conditions are collected and organized, and these data will be used to train the prediction model.

[0094] Use machine learning algorithms to process historical test data to obtain target test data. Perform cross-validation on the prediction model to evaluate the model's performance and obtain the model's target parameters.

[0095] The prediction model is improved according to the target parameters, and then the improved model is trained using the target test data to obtain the target prediction model.

[0096] The target prediction model is used to analyze the current force data to obtain the predicted static adhesion coefficient curve.

[0097] Step S302, determining the static adhesion coefficient of the target vehicle tire based on the static adhesion coefficient curve.

[0098] like Figure 2 As shown in the figure, the highest point of the static adhesion coefficient curve is the static adhesion coefficient of the target vehicle tire.

[0099] This embodiment provides a method for testing the static adhesion coefficient of a vehicle tire, generates a static adhesion coefficient curve based on force data, and determines the static adhesion coefficient of a target vehicle tire based on the static adhesion coefficient curve; thereby systematically evaluating the static adhesion performance of the tire and providing data support for vehicle performance optimization and safe driving.

[0100] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the static adhesion coefficient test method of automobile tires of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0101] This application also provides a vehicle tire static adhesion coefficient test device, please refer to Figure 4 , the automobile tire static adhesion coefficient testing device comprises:

[0102] The traction module 10 is used to increase the pulling force of the vehicle linearly through the traction device to pull the vehicle; when the vehicle is detected to be slipping, the traction device is controlled to stop traction;

[0103] A data acquisition module 20, used to acquire force data of the vehicle during traction, wherein the force data includes vertical force and longitudinal force exerted on the tire;

[0104] The analysis module 30 is used to determine the static adhesion coefficient of the target vehicle tire based on the force data.

[0105] The automobile tire static adhesion coefficient test device provided by the present application adopts the automobile tire static adhesion coefficient test method in the above embodiment, which can solve the technical problem of low safety of the existing vehicle holding slope verification method. Compared with the prior art, the beneficial effects of the automobile tire static adhesion coefficient test device provided by the present application are the same as the beneficial effects of the automobile tire static adhesion coefficient test method provided by the above embodiment, and the other technical features of the automobile tire static adhesion coefficient test device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0106] In one embodiment, the data acquisition module 20 is further used to generate a static adhesion coefficient curve based on the force data;

[0107] The static adhesion coefficient of the target vehicle tire is determined based on the static adhesion coefficient curve.

[0108] In one embodiment, the data acquisition module 20 is further used to acquire a predicted static adhesion coefficient curve;

[0109] The static adhesion coefficient curve is analyzed based on the predicted static adhesion coefficient curve to determine the accuracy of the static adhesion coefficient curve.

[0110] In one embodiment, the data acquisition module 20 is also used to acquire historical test data;

[0111] The prediction model is trained based on historical test data to obtain a target prediction model;

[0112] The force data is analyzed through the target prediction model to obtain the predicted static adhesion coefficient curve.

[0113] In one embodiment, the data acquisition module 20 is further used to process the historical test data through a machine learning algorithm to obtain target test data;

[0114] By cross-validating the prediction model, the performance of the prediction model is evaluated and the target parameters of the prediction model are obtained;

[0115] After improving the prediction model through target parameters, the prediction model is trained through target test data to obtain the target prediction model.

[0116] In one embodiment, the traction module 10 is further used to control the traction device to stop traction when it is detected that the sum of the longitudinal component of the gravity acting on the tire and the traction force is greater than a preset longitudinal force.

[0117] In one embodiment, the analysis module 30 is further used to evaluate the static adhesion performance of the vehicle tire on the ramp based on the target vehicle tire static adhesion coefficient to obtain an evaluation result.

[0118] The present application provides a vehicle tire static adhesion coefficient testing device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the vehicle tire static adhesion coefficient testing method in the above-mentioned embodiment one.

[0119] Reference below Figure 5 , which shows a schematic diagram of the structure of a vehicle tire static adhesion coefficient test device suitable for implementing the embodiment of the present application. The vehicle tire static adhesion coefficient test device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The automobile tire static adhesion coefficient testing equipment shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0120] like Figure 5As shown, the automobile tire static adhesion coefficient test device may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the automobile tire static adhesion coefficient test device are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the static adhesion coefficient test device for automobile tires to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows a static adhesion coefficient test device for automobile tires with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.

[0121] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code 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 device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0122] The automobile tire static adhesion coefficient test equipment provided by the present application adopts the automobile tire static adhesion coefficient test method in the above embodiment, which can solve the technical problem of low safety of the existing vehicle parking verification method. Compared with the prior art, the beneficial effects of the automobile tire static adhesion coefficient test equipment provided by the present application are the same as the beneficial effects of the automobile tire static adhesion coefficient test method provided by the above embodiment, and the other technical features of the automobile tire static adhesion coefficient test equipment are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0123] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0124] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0125] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the vehicle tire static adhesion coefficient test method in the above-mentioned embodiment.

[0126] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may 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 or 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 this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0127] The computer-readable storage medium may be included in the vehicle tire static adhesion coefficient test device; or may exist independently without being assembled into the vehicle tire static adhesion coefficient test device.

[0128] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the automobile tire static adhesion coefficient testing device, the automobile tire static adhesion coefficient testing device: linearly increases the pulling force on the vehicle through the traction device to pull it; monitors the force data of the vehicle tire at different force positions based on the working time of the traction device, wherein the force data includes the gravity, traction, vertical force and longitudinal force exerted on the tire; and determines the target automobile tire static adhesion coefficient based on the force data.

[0129] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0130] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the 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 square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square 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 square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart 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.

[0131] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0132] The readable storage medium provided by the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned vehicle tire static adhesion coefficient test method, and can solve the technical problem of low safety of the existing vehicle holding slope verification method. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as the beneficial effects of the vehicle tire static adhesion coefficient test method provided by the above-mentioned embodiment, and will not be repeated here.

[0133] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned vehicle tire static adhesion coefficient test method when executed by a processor.

[0134] The computer program product provided by the present application can solve the technical problem of low safety of the existing vehicle holding slope verification method. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as the beneficial effects of the vehicle tire static adhesion coefficient test method provided by the above embodiment, which will not be repeated here.

[0135] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for testing the static adhesion coefficient of automobile tires, characterized in that: The method for testing the static adhesion coefficient of automobile tires is applied to a vehicle, the vehicle is connected to a traction device, and the method for testing the static adhesion coefficient of automobile tires comprises the following steps: The vehicle is pulled linearly by increasing the pulling force through the traction device; Monitoring force data of the tire of the vehicle at different force-bearing positions based on the working time of the traction device, wherein the force data includes gravity, traction, vertical force and longitudinal force exerted on the tire; The static adhesion coefficient of the target vehicle tire is determined based on the force data.

2. The method for testing the static adhesion coefficient of automobile tires according to claim 1, characterized in that: The step of determining the static adhesion coefficient of the target vehicle tire based on the force data comprises: generating a static adhesion coefficient curve based on the force data; A target vehicle tire static adhesion coefficient is determined based on the static adhesion coefficient curve.

3. The method for testing the static adhesion coefficient of automobile tires according to claim 2, characterized in that: After the step of generating a static adhesion coefficient curve based on the force data, the method further includes: Obtaining a predicted static adhesion coefficient curve; The static adhesion coefficient curve is analyzed based on the predicted static adhesion coefficient curve to determine the accuracy of the static adhesion coefficient curve.

4. The method for testing the static adhesion coefficient of automobile tires according to claim 3, characterized in that: The step of obtaining the predicted static adhesion coefficient curve comprises: Get historical test data; Training the prediction model based on the historical test data to obtain a target prediction model; The force data is analyzed by the target prediction model to obtain a predicted static adhesion coefficient curve.

5. The method for testing the static adhesion coefficient of automobile tires according to claim 4, characterized in that: The step of training the prediction model based on the historical test data to obtain the target prediction model includes: Processing the historical test data through a machine learning algorithm to obtain target test data; By performing cross-validation processing on the prediction model, the performance of the prediction model is evaluated, and the target parameters of the prediction model are obtained; After the prediction model is improved by the target parameters, the prediction model is trained by the target test data to obtain a target prediction model.

6. The method for testing the static adhesion coefficient of automobile tires according to claim 1, characterized in that: After the step of monitoring the force data of the tire of the vehicle at different force positions based on the working time of the traction device, the method further comprises: When it is monitored that the sum of the longitudinal component force and the traction force exerted on the tire is greater than the preset longitudinal force, the traction device is controlled to stop traction.

7. The method for testing the static adhesion coefficient of automobile tires according to any one of claims 1 to 6, characterized in that: After the step of determining the static adhesion coefficient of the target vehicle tire based on the force applied to the vehicle during the traction process, the method further includes: The static adhesion performance of the vehicle tire on the ramp is evaluated based on the target vehicle tire static adhesion coefficient to obtain an evaluation result.

8. A vehicle tire static adhesion coefficient test device, characterized in that: The device comprises: A traction module, used to increase the pulling force of the vehicle linearly through a traction device to pull the vehicle; when the vehicle is detected to be slipping, the traction device is controlled to stop traction; A data acquisition module, used to acquire force data of the vehicle during traction, wherein the force data includes vertical force and longitudinal force exerted on the tire; The analysis module is used to determine the static adhesion coefficient of the target vehicle tire based on the force data.

9. A vehicle tire static adhesion coefficient test device, characterized in that: The device comprises: a memory, a processor and a vehicle tire static adhesion coefficient test program stored in the memory and executable on the processor, wherein the vehicle tire static adhesion coefficient test program is configured to implement the steps of the vehicle tire static adhesion coefficient test method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a vehicle tire static adhesion coefficient test program, and when the vehicle tire static adhesion coefficient test program is executed by the processor, the steps of the vehicle tire static adhesion coefficient test method according to any one of claims 1 to 7 are implemented.

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