Tire wear measurement methods, systems, readable storage media, and computers

Abstract

This invention provides a tire wear measurement method, system, readable storage medium, and computer. The method includes: processing road test results of a vehicle under test based on preset road test standards to obtain road test data; calculating the contact time of the inner test point of the tire and the tire rolling cycle of the vehicle under test based on radial acceleration sampling data in the road test data; calculating the vertical load of the tire of the vehicle under test based on the contact time and tire rolling cycle, and extracting features from the radial acceleration sampling data to obtain feature data; calculating the friction loss rate of the tire of the vehicle under test based on the friction coefficient of the tire and the road test data, and calculating the actual wear amount of the tire of the vehicle under test based on the friction loss rate and tire rolling cycle; inputting the feature data and vertical load into a wear prediction model to obtain a wear prediction amount; comparing the wear prediction amount with the actual wear amount to output the corresponding comparison result.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a tire wear measurement method, system, readable storage medium, and computer. Background Technology

[0002] With the rapid development of science and technology and the improvement of people's living standards, vehicles have become an indispensable means of transportation in people's lives and even travel.

[0003] Tires are the displacement components of a vehicle that come into contact with the road. When a vehicle is in operation under various conditions, the tires generate elasticity through contact with the road surface, thereby supporting the weight of the vehicle and its load and mitigating road impacts. Tire wear measurement is an important factor in vehicle inspection, as it determines whether a tire blowout or other accidents will occur during driving. Currently, tire wear is measured in real time by measuring tire pressure and temperature, as well as by visual inspection. However, the vertical load on the tire is also an important factor in the safe driving condition of the vehicle and is one of the important indicators of tire wear. Monitoring tire pressure, tire temperature, and visual inspection cannot provide real-time monitoring, nor can they take the vertical load factor into account in tire wear measurement. Summary of the Invention

[0004] Therefore, the purpose of this invention is to provide a tire wear measurement method, system, readable storage medium, and computer to at least address the shortcomings of the aforementioned technologies.

[0005] This invention proposes a method for measuring tire wear, comprising:

[0006] A road test experiment is conducted on the vehicle to be tested, and the results of the road test experiment are processed based on preset road test standards to obtain the road test data of the vehicle to be tested.

[0007] The radial acceleration sampling data in the road test data is parsed out, and the ground contact time of the inner test point of the tire of the vehicle under test and the tire rolling cycle of the vehicle under test are calculated based on the radial acceleration sampling data.

[0008] The vertical load of the tires of the vehicle under test is calculated based on the grounding time and the tire rolling cycle, and the radial acceleration sampling data is used to extract features to obtain the corresponding feature data.

[0009] The friction coefficient of the tires of the vehicle under test is obtained, and the friction loss rate of the tires of the vehicle under test is calculated based on the friction coefficient and the road test data. The actual wear of the tires of the vehicle under test is calculated based on the friction loss rate and the tire rolling cycle.

[0010] A wear prediction model is constructed, and the feature data and the vertical load are input into the wear prediction model to obtain the wear prediction amount. The wear prediction amount is compared with the actual wear amount to output the corresponding comparison result.

[0011] Furthermore, the steps of conducting road tests on the vehicle under test and processing the results of the road tests based on preset road test standards to obtain the road test data of the vehicle under test include:

[0012] Define the execution conditions for the road test experiment, and mark two coordinate points on the center line of the inner wall of the tire of the vehicle under test and the position of the sensor installed in the tire.

[0013] Based on the two coordinate points, the sensor position, and the execution conditions, a road test experiment is conducted on the vehicle under test, and the collected road test data is subjected to coordinate transformation and data processing to obtain the road test data of the vehicle under test.

[0014] Furthermore, an acceleration sensor is installed on the inner measuring point of the tire of the vehicle under test. The step of calculating the ground contact time of the inner measuring point of the tire of the vehicle under test and the tire rolling cycle of the vehicle under test based on the radial acceleration sampling data includes:

[0015] The time elapsed by the accelerometer within the ground contact area corresponding to the inner tire point of the vehicle under test is calculated based on the sampling frequency of the accelerometer and the radial acceleration sampling data.

[0016] The tire rolling cycle of the vehicle under test is calculated based on the elapsed time and the location of the data sampling points of the tires during the free rolling cycle.

[0017] Furthermore, the formula for calculating the elapsed time of the accelerometer within the contact area corresponding to the inner tire point of the vehicle under test is as follows:

[0018] ;

[0019] In the formula, Represents the later peak point in the radial acceleration sampling data. The corresponding data sampling point location, Represents the first peak point in the radial acceleration sampling data. The corresponding data sampling point location, This indicates the sampling frequency of the accelerometer. This represents the compensation coefficient of the accelerometer.

[0020] The formula for calculating the tire rolling cycle of the vehicle under test is as follows:

[0021] ;

[0022] In the formula, , These represent the tires of the test vehicle during their free rolling cycles. , No. The location of the data sampling point corresponding to the previous peak point within the period. , These represent the tires of the test vehicle during their free rolling cycles. , No. The location of the data sampling point corresponding to the later peak point within the period. This represents the rolling cycle coefficient, which is a constant.

[0023] Furthermore, the step of calculating the vertical load of the tires of the vehicle under test based on the ground contact time and the tire rolling cycle includes:

[0024] Obtain the tire width and corresponding tire diameter of the vehicle under test, and calculate the tire rolling radius of the vehicle under test based on the tire width and the tire diameter;

[0025] The tire contact length of the vehicle under test is calculated based on the tire rolling radius, the tire rolling cycle, and the contact time.

[0026] The tire pressure coefficient and rolling speed coefficient of the vehicle under test are constructed, and the vertical load of the tires of the vehicle under test is calculated based on the tire pressure coefficient, the rolling speed coefficient, the tire contact length of the vehicle under test, and the vehicle speed of the vehicle under test in the road test data.

[0027] Furthermore, the formula for calculating the vertical load of the tires of the vehicle under test is as follows:

[0028] ;

[0029] ;

[0030] In the formula, This indicates the tire contact length of the vehicle under test. This indicates the rolling radius of the tires of the vehicle under test. This indicates the tire pressure coefficient of the vehicle being tested. This represents the rolling speed coefficient of the tires of the vehicle under test. This indicates the speed of the vehicle being tested.

[0031] The present invention also proposes a tire wear measurement system, comprising:

[0032] The road test module is used to conduct road test experiments on the vehicle under test and process the results of the road test experiments based on preset road test standards to obtain the road test data of the vehicle under test.

[0033] The data calculation module is used to parse the radial acceleration sampling data in the road test data, and calculate the ground contact time of the inner test point of the tire of the vehicle under test and the tire rolling cycle of the vehicle under test based on the radial acceleration sampling data.

[0034] The feature extraction module is used to calculate the vertical load of the tires of the vehicle under test based on the grounding time and the tire rolling cycle, and to extract features from the radial acceleration sampling data to obtain the corresponding feature data.

[0035] The wear calculation module is used to obtain the friction coefficient of the tires of the vehicle under test, calculate the friction loss rate of the tires of the vehicle under test based on the friction coefficient and the road test data, and calculate the actual wear of the tires of the vehicle under test based on the friction loss rate and the tire rolling cycle.

[0036] The wear comparison module is used to construct a wear prediction model and input the feature data and the vertical load into the wear prediction model to obtain the wear prediction amount. The wear prediction amount is compared with the actual wear amount to output the corresponding comparison result.

[0037] Furthermore, the road test module includes:

[0038] The condition definition unit is used to define the execution conditions of the road test experiment and mark two coordinate points on the center line of the inner wall of the tire of the vehicle under test and the position of the sensor installed in the tire.

[0039] The road test unit is used to conduct road test experiments on the vehicle under test based on the two coordinate points, the sensor position, and the execution conditions, and to perform coordinate transformation and data processing on the collected road test data to obtain the road test data of the vehicle under test.

[0040] Furthermore, an acceleration sensor is installed on the inner edge of the tire of the vehicle under test, and the data calculation module includes:

[0041] The time calculation unit is used to calculate the elapsed time of the acceleration sensor in the grounding area corresponding to the inner tire point of the vehicle under test, based on the sampling frequency of the acceleration sensor and the radial acceleration sampling data.

[0042] The cycle calculation unit is used to calculate the tire rolling cycle of the vehicle under test based on the elapsed time and the data sampling point positions of the tires of the vehicle under test during the free rolling cycle.

[0043] Furthermore, the feature extraction module includes:

[0044] A radius calculation unit is used to obtain the tire width and corresponding tire diameter of the vehicle under test, and to calculate the tire rolling radius of the vehicle under test based on the tire width and the tire diameter.

[0045] The ground contact length calculation unit is used to calculate the tire ground contact length of the vehicle under test based on the tire rolling radius, the tire rolling cycle, and the ground contact time.

[0046] The vertical load calculation unit is used to construct the tire pressure coefficient and rolling speed coefficient of the tires of the vehicle under test, and calculate the vertical load of the tires of the vehicle under test based on the tire pressure coefficient, the rolling speed coefficient, the tire contact length of the vehicle under test, and the vehicle speed of the vehicle under test in the road test data.

[0047] The present invention also proposes a readable storage medium storing a computer program that, when executed by a processor, implements the above-described tire wear measurement method.

[0048] The present invention also proposes a computer, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described tire wear measurement method.

[0049] The tire wear measurement method, system, readable storage medium, and computer of this invention conduct road tests on the vehicle under test, calculate the contact time of the inner tire point and the tire rolling cycle based on the road test data, calculate the vertical load of the tire using the contact time and the tire rolling cycle, predict relevant tire data using one-dimensional sequence signals to improve data processing efficiency, calculate the friction loss rate of the vehicle under test using the tire friction coefficient and road test data, calculate the actual tire wear using the friction loss rate and the tire rolling cycle, calculate the predicted wear using the constructed wear prediction model based on the feature data and vertical load, determine the tire wear condition of the vehicle by comparing the predicted wear with the actual wear, and improve the accuracy of tire wear measurement by establishing the relationship between feature data and tire wear. Attached Figure Description

[0050] Figure 1 This is a flowchart of the tire wear measurement method in the first embodiment of the present invention;

[0051] Figure 2for Figure 1 Detailed flowchart of step S101;

[0052] Figure 3 for Figure 1 Detailed flowchart of step S102;

[0053] Figure 4 for Figure 1 Detailed flowchart of step S103;

[0054] Figure 5 This is a structural block diagram of the tire wear measurement system in the second embodiment of the present invention;

[0055] Figure 6 This is a structural block diagram of the computer in the third embodiment of the present invention.

[0056] The following detailed description, in conjunction with the accompanying drawings, will further illustrate the present invention. Detailed Implementation

[0057] To facilitate understanding of the present invention, a more complete description will be given below with reference to the accompanying drawings. Several embodiments of the invention are illustrated in the drawings. However, the invention can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.

[0058] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0059] Example 1

[0060] Please see Figure 1 The figure shows a tire wear measurement method according to the first embodiment of the present invention, the method specifically including steps S101 to S105:

[0061] S101, conduct a road test on the vehicle to be tested, and process the results of the road test based on preset road test standards to obtain the road test data of the vehicle to be tested.

[0062] For further details, please refer to Figure 2 Step S101 specifically includes steps S1011 to S1012:

[0063] S1011, Define the execution conditions of the road test experiment, and mark two coordinate points on the center line of the inner wall of the tire of the vehicle under test and the position of the sensor installed in the tire.

[0064] S1012, a road test experiment is conducted on the vehicle under test based on the two coordinate points, the sensor position, and the execution conditions, and the collected road test experiment data is subjected to coordinate transformation and data processing to obtain the road test data of the vehicle under test.

[0065] In practical implementation, the execution conditions for the road test experiment are created, wherein the execution conditions include the road test process of the vehicle under test. In this embodiment, the road test process includes, but is not limited to, the following methods:

[0066] First, enter the gas station and use the slowest setting on the automatic refueling pump until the pump stops. Record the amount of fuel dispensed and the odometer reading. Second, drive along Ring Road 2 to the entrance of the stone road, turn left to the entrance of the Comprehensive Road, stop and yield, then turn right onto the Comprehensive Road. Maintain a constant initial speed of 45 km / h on the long uphill road, slow down at the twisting road, and pass the twisting road at 10 km / h. Pass the North Turning Ring Road at 40 km / h, enter the straight washboard road at an initial speed of 50 km / h, and accelerate through at full throttle. Enter the next straight washboard road at 60 km / h and release the accelerator to pass. ; Pass through the South Drift Ring Road at 40 km / h, slow down when encountering potholes, and pass through the potholes at 10 km / h; pass through the bumpy road at 25 km / h, then exit the bumpy road to the right; pass through the North Drift Ring Road at 40 km / h, enter the angled washboard road with an initial speed of 50 km / h, and accelerate through at full throttle; enter the next straight washboard road at 60 km / h, then release the throttle to pass through; pass through the South Drift Ring Road at 40 km / h, then proceed from the auxiliary... When driving on the road, slow down when turning right onto Shortwave Road, pass Shortwave Road at a speed of 15 km / h, exit Shortwave Road on the right, and slow down to yield at the exit of Comprehensive Road; enter Stone Road, circle Stone Road once, that is, pass the North Curve at a speed of 20 km / h, pass the East Straight Section at a speed of 25 km / h, and pass the splash pool; enter the Second Ring Road, pass the North Curve at a speed of 50 km / h, enter the No. 2 Braking Road at an initial speed of 60 km / h and brake suddenly to a stop. Stop and yield to other vehicles at the entrance / exit of the standard ramp; enter the standard ramp, which has a 16.6% uphill slope and a 20% downhill slope. Brake and stop in the middle of both the uphill and downhill sections, using the parking brake. Stop and yield to other vehicles at the entrance / exit of the standard ramp; enter the second ring road and drive to its entrance / exit; repeat the above steps 36 times. Enter the gas station, use the same fuel dispenser, and use the slowest automatic mode to refuel until the nozzle clicks off. Record the amount of fuel dispensed and the odometer reading.

[0067] In the road test experiment, two coordinate points on the centerline of the inner wall of the tire of the vehicle under test and the position of the sensor installed in the tire are marked. With the sensor position as the origin, the two coordinate points are marked. The road test experiment is carried out on the vehicle under test according to the marked coordinate points, the sensor position and the above-mentioned execution conditions. The coordinate system of the collected road test data is rotated and the data after coordinate system rotation is processed to calculate the radial acceleration waveform of the sensor and the two coordinate points on the inner surface of the tire of the vehicle under test under free rolling conditions.

[0068] S102, parse the radial acceleration sampling data in the road test data, and calculate the ground contact time of the inner test point of the tire of the vehicle under test and the tire rolling cycle of the vehicle under test based on the radial acceleration sampling data;

[0069] Furthermore, an acceleration sensor is installed on the inner edge of the tire of the vehicle under test. Please refer to [link / reference]. Figure 3 Step S102 specifically includes steps S1021 to S1022:

[0070] S1021, Based on the sampling frequency of the acceleration sensor and the radial acceleration sampling data, calculate the elapsed time of the acceleration sensor in the grounding area corresponding to the inner tire point of the vehicle under test;

[0071] S1022, calculate the tire rolling cycle of the vehicle under test based on the elapsed time and the data sampling point positions of the tires of the vehicle under test during the free rolling cycle.

[0072] In practice, the road test data obtained above is analyzed to obtain the corresponding radial acceleration sampling data. The sampling frequency of the acceleration sensor installed inside the tire of the vehicle under test is then acquired. Using the radial acceleration sampling data, the time elapsed by the acceleration sensor within the ground contact area corresponding to the inner point of the tire of the vehicle under test is calculated according to the following formula:

[0073] ;

[0074] In the formula, Represents the later peak point in the radial acceleration sampling data. The corresponding data sampling point location, Represents the first peak point in the radial acceleration sampling data. The corresponding data sampling point location, This indicates the sampling frequency of the accelerometer. This represents the compensation coefficient of the accelerometer.

[0075] Specifically, the tire rolling period is calculated using the data sampling points of the elapsed time and the tires of the test vehicle during the free rolling period, according to the following formula:

[0076] ;

[0077] In the formula, , These represent the tires of the test vehicle during their free rolling cycles. , No. The location of the data sampling point corresponding to the previous peak point within the period. , These represent the tires of the test vehicle during their free rolling cycles. , No. The location of the data sampling point corresponding to the later peak point within the period. This represents the rolling cycle coefficient, which is a constant.

[0078] In this embodiment, the vehicle speed is 50 km / h and the sampling frequency is 4000 Hz. The collected radial acceleration sampling waveform is processed. The two peaks of the waveform are the moment when it enters the grounding area and the moment when it leaves the grounding area. The peak value of the waveform corresponding to the moment when the acceleration sensor inside the tire begins to enter the grounding area is defined as the front peak value, and the peak value of the waveform corresponding to the moment when it leaves the grounding area is defined as the rear peak value.

[0079] S103, calculate the vertical load of the tire of the vehicle under test based on the grounding time and the tire rolling cycle, and extract features from the radial acceleration sampling data to obtain the corresponding feature data;

[0080] For further details, please refer to Figure 4 Step S103 specifically includes steps S1031 to S1033:

[0081] S1031, Obtain the tire width and corresponding tire diameter of the vehicle under test, and calculate the tire rolling radius of the vehicle under test based on the tire width and the tire diameter;

[0082] S1032, calculate the tire contact length of the vehicle under test based on the tire rolling radius, the tire rolling cycle, and the contact time;

[0083] S1033, construct the tire pressure coefficient and rolling speed coefficient of the tires of the vehicle under test, and calculate the vertical load of the tires of the vehicle under test based on the tire pressure coefficient, the rolling speed coefficient, the tire contact length of the vehicle under test, and the vehicle speed of the vehicle under test in the road test data.

[0084] In practice, the tire width and corresponding tire diameter of the vehicle under test are obtained. The tire rolling radius is calculated based on the tire width and diameter. The tire contact length is then determined by combining the tire rolling radius, the previously obtained tire rolling cycle, and the contact time according to their corresponding motion relationships. Since there is an influence between tire pressure and tire rolling speed, the tire pressure coefficient and rolling speed coefficient of the vehicle under test are constructed. While keeping other variables of the vehicle under test constant, corresponding curves are plotted for the tire pressure coefficient and rolling speed coefficient to determine the relationships between the tire pressure coefficient and tire pressure and tire rolling speed, and vice versa. For example, keeping the tire pressure constant, different functions are used to determine the relationship between tire rolling speed and the tire pressure coefficient and rolling speed coefficient. Expressions for the two coefficients and tire rolling speed are obtained at each tire pressure. The tire pressure is then gradually adjusted, and the final expression is determined based on the linear relationship between tire pressure and the two coefficients.

[0085] ;

[0086] ;

[0087] In the formula, Tire pressure coefficient The rolling speed coefficient, This indicates tire pressure. The compensation parameter representing the tire pressure coefficient. The compensation parameter represents the rolling speed coefficient.

[0088] The vertical load on the tires of the vehicle under test is calculated using the following formula, based on the tire pressure coefficient, rolling speed coefficient, tire contact length, and vehicle speed from the road test data:

[0089] ;

[0090] ;

[0091] In the formula, This indicates the tire contact length of the vehicle under test. This indicates the rolling radius of the tires of the vehicle under test. This indicates the tire pressure coefficient of the vehicle being tested. This represents the rolling speed coefficient of the tires of the vehicle under test. This indicates the speed of the vehicle being tested.

[0092] Furthermore, feature extraction is performed on the obtained radial acceleration sampling data to extract the radial acceleration feature values ​​and the feature values ​​of the radial acceleration derivative in the radial acceleration sampling data.

[0093] S104, obtain the friction coefficient of the tires of the vehicle under test, calculate the friction loss rate of the tires of the vehicle under test based on the friction coefficient and the road test data, and calculate the actual wear of the tires of the vehicle under test based on the friction loss rate and the tire rolling cycle.

[0094] In practice, the friction coefficient of the tires of the vehicle under test is obtained, and the aforementioned road test data is input into the simulation analysis model for simulation analysis. This yields the nodal slip ratio of the tires on the contact surface and the corresponding contact normal reaction force. The friction loss rate of the tires is calculated using the friction coefficient, nodal slip ratio, and contact normal reaction force. Based on the friction loss rate and tire rolling cycle, the data is input into a preset wear calculation model for calculation to obtain the actual wear amount of the vehicle under test.

[0095] S105, construct a wear prediction model, and input the feature data and the vertical load into the wear prediction model to obtain the wear prediction amount. Compare the wear prediction amount with the actual wear amount to output the corresponding comparison result.

[0096] In practical implementation, a convolutional neural network model is defined and optimized to construct a wear prediction model. Specifically, the number of nodes in the input layer and the dimension of the input variables are set to be the same, the number of hidden layers in the convolutional neural network model is set to 1, the neuron connection is fully connected, the hyperbolic tangent sigmoid function is selected as the activation function, and the linear ReLU function is selected as the activation function of the output layer.

[0097] Furthermore, the feature data and the vertical load calculated above are input into the wear prediction model, so that the model can predict the wear amount based on the data. The wear prediction amount is compared with the actual wear amount obtained above. If the difference between the actual wear amount and the wear prediction amount is greater than the wear threshold, the vehicle under test is marked as abnormal, and the corresponding abnormal command is transmitted so that the staff can inspect the vehicle under test.

[0098] In summary, the tire wear measurement method in the above embodiments of the present invention involves conducting road tests on the vehicle under test, calculating the contact time and rolling cycle of the tire's inner sidewall based on the road test data, calculating the vertical load of the tire using the contact time and rolling cycle, predicting relevant tire data using one-dimensional sequence signals to improve data processing efficiency, calculating the friction loss rate of the vehicle under test using the tire's friction coefficient and road test data, calculating the actual tire wear using the friction loss rate and rolling cycle, calculating the predicted wear amount using the constructed wear prediction model based on the feature data and vertical load, judging the tire wear condition of the vehicle by comparing the predicted wear amount with the actual wear amount, and improving the accuracy of tire wear measurement by establishing the relationship between feature data and tire wear amount.

[0099] Example 2

[0100] In another aspect, this invention also proposes a tire wear measurement system, please refer to [link / reference needed]. Figure 5 The figure shows a tire wear measurement system according to a second embodiment of the present invention, the system comprising:

[0101] The road test module 11 is used to conduct road test experiments on the vehicle under test and process the results of the road test experiments based on preset road test standards to obtain the road test data of the vehicle under test.

[0102] Furthermore, the road test module 11 includes:

[0103] The condition definition unit is used to define the execution conditions of the road test experiment and mark two coordinate points on the center line of the inner wall of the tire of the vehicle under test and the position of the sensor installed in the tire.

[0104] The road test unit is used to conduct road test experiments on the vehicle under test based on the two coordinate points, the sensor position, and the execution conditions, and to perform coordinate transformation and data processing on the collected road test data to obtain the road test data of the vehicle under test.

[0105] The data calculation module 12 is used to parse the radial acceleration sampling data in the road test data, and calculate the ground contact time of the inner test point of the tire of the vehicle under test and the tire rolling cycle of the vehicle under test based on the radial acceleration sampling data.

[0106] Furthermore, an acceleration sensor is installed on the inner measuring point of the tire of the vehicle under test, and the data calculation module 12 includes:

[0107] The time calculation unit is used to calculate the elapsed time of the acceleration sensor in the grounding area corresponding to the inner tire point of the vehicle under test, based on the sampling frequency of the acceleration sensor and the radial acceleration sampling data.

[0108] The cycle calculation unit is used to calculate the tire rolling cycle of the vehicle under test based on the elapsed time and the data sampling point positions of the tires of the vehicle under test during the free rolling cycle.

[0109] The feature extraction module 13 is used to calculate the vertical load of the tire of the vehicle under test based on the grounding time and the tire rolling cycle, and to extract features from the radial acceleration sampling data to obtain the corresponding feature data.

[0110] Furthermore, the feature extraction module 13 includes:

[0111] A radius calculation unit is used to obtain the tire width and corresponding tire diameter of the vehicle under test, and to calculate the tire rolling radius of the vehicle under test based on the tire width and the tire diameter.

[0112] The ground contact length calculation unit is used to calculate the tire ground contact length of the vehicle under test based on the tire rolling radius, the tire rolling cycle, and the ground contact time.

[0113] The vertical load calculation unit is used to construct the tire pressure coefficient and rolling speed coefficient of the tires of the vehicle under test, and calculate the vertical load of the tires of the vehicle under test based on the tire pressure coefficient, the rolling speed coefficient, the tire contact length of the vehicle under test, and the vehicle speed of the vehicle under test in the road test data.

[0114] Wear calculation module 14 is used to obtain the friction coefficient of the tires of the vehicle under test, calculate the friction loss rate of the tires of the vehicle under test based on the friction coefficient and the road test data, and calculate the actual wear of the tires of the vehicle under test based on the friction loss rate and the tire rolling cycle.

[0115] The wear comparison module 15 is used to construct a wear prediction model, input the feature data and the vertical load into the wear prediction model to obtain the wear prediction amount, compare the wear prediction amount with the actual wear amount, and output the corresponding comparison result.

[0116] The functions or operation steps implemented by the above modules and units are largely the same as those in the above method embodiments, and will not be repeated here.

[0117] The tire wear measurement system provided in this embodiment of the invention has the same implementation principle and technical effect as the aforementioned method embodiment. For the sake of brevity, any parts not mentioned in the system embodiment can be referred to the corresponding content in the aforementioned method embodiment.

[0118] Example 3

[0119] This invention also proposes a computer, please refer to [link / reference]. Figure 6 The computer shown in the third embodiment of the present invention includes a memory 10, a processor 20, and a computer program 30 stored in the memory 10 and executable on the processor 20. When the processor 20 executes the computer program 30, it implements the above-described tire wear measurement method.

[0120] The memory 10 includes at least one type of readable storage medium, such as flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 10 can be an internal storage unit of a computer, such as the computer's hard disk. In other embodiments, the memory 10 can be an external storage device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. Furthermore, the memory 10 can include both internal and external storage units of the computer. The memory 10 can be used not only to store application software and various types of data installed on the computer, but also to temporarily store data that has been output or will be output.

[0121] In some embodiments, the processor 20 may be an electronic control unit (ECU), a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chip, used to run program code stored in the memory 10 or process data, such as executing access restriction programs.

[0122] It should be pointed out that, Figure 6 The structure shown does not constitute a limitation on the computer. In other embodiments, the computer may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0123] This invention also proposes a readable storage medium storing a computer program that, when executed by a processor, implements the tire wear measurement method described above.

[0124] Those skilled in the art will understand that the logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can mean any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0125] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0126] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0127] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0128] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for measuring tire wear, characterized in that, include: A road test experiment is conducted on the vehicle to be tested, and the results of the road test experiment are processed based on preset road test standards to obtain the road test data of the vehicle to be tested. The radial acceleration sampling data in the road test data is parsed out, and the ground contact time of the inner test point of the tire of the vehicle under test and the tire rolling cycle of the vehicle under test are calculated based on the radial acceleration sampling data. The vertical load of the tires of the vehicle under test is calculated based on the grounding time and the tire rolling cycle, and the radial acceleration sampling data is used to extract features to obtain the corresponding feature data. The friction coefficient of the tires of the vehicle under test is obtained, and the friction loss rate of the tires of the vehicle under test is calculated based on the friction coefficient and the road test data. The actual wear of the tires of the vehicle under test is calculated based on the friction loss rate and the tire rolling cycle. A wear prediction model is constructed, and the feature data and the vertical load are input into the wear prediction model to obtain the wear prediction amount. The wear prediction amount is compared with the actual wear amount to output the corresponding comparison result.

2. The tire wear measurement method according to claim 1, characterized in that, The steps of conducting road tests on the vehicle under test and processing the results of the road tests based on preset road test standards to obtain road test data for the vehicle under test include: Define the execution conditions for the road test experiment, and mark two coordinate points on the center line of the inner wall of the tire of the vehicle under test and the position of the sensor installed in the tire. Based on the two coordinate points, the sensor position, and the execution conditions, a road test experiment is conducted on the vehicle under test, and the collected road test data is subjected to coordinate transformation and data processing to obtain the road test data of the vehicle under test.

3. The tire wear measurement method according to claim 1, characterized in that, An acceleration sensor is installed on the inner measuring point of the tire of the vehicle under test. The step of calculating the ground contact time of the inner measuring point of the tire of the vehicle under test and the tire rolling cycle of the vehicle under test based on the radial acceleration sampling data includes: The time elapsed by the accelerometer within the ground contact area corresponding to the inner tire point of the vehicle under test is calculated based on the sampling frequency of the accelerometer and the radial acceleration sampling data. The tire rolling cycle of the vehicle under test is calculated based on the elapsed time and the location of the data sampling points of the tires during the free rolling cycle.

4. The tire wear measurement method according to claim 3, characterized in that, The formula for calculating the elapsed time of the accelerometer within the contact area corresponding to the inner tire point of the vehicle under test is as follows: ； In the formula, Represents the later peak point in the radial acceleration sampling data. The corresponding data sampling point location, Represents the first peak point in the radial acceleration sampling data. The corresponding data sampling point location, This indicates the sampling frequency of the accelerometer. This represents the compensation coefficient of the accelerometer. The formula for calculating the tire rolling cycle of the vehicle under test is as follows: ； In the formula, , These represent the tires of the test vehicle during their free rolling cycles. , No. The location of the data sampling point corresponding to the previous peak point within the period. , These represent the tires of the test vehicle during their free rolling cycles. , No. The location of the data sampling point corresponding to the later peak point within the period. This represents the rolling cycle coefficient, which is a constant.

5. The tire wear measurement method according to claim 1, characterized in that, The steps for calculating the vertical load on the tires of the vehicle under test based on the ground contact time and the tire rolling cycle include: Obtain the tire width and corresponding tire diameter of the vehicle under test, and calculate the tire rolling radius of the vehicle under test based on the tire width and the tire diameter; The tire contact length of the vehicle under test is calculated based on the tire rolling radius, the tire rolling cycle, and the contact time. The tire pressure coefficient and rolling speed coefficient of the vehicle under test are constructed, and the vertical load of the tires of the vehicle under test is calculated based on the tire pressure coefficient, the rolling speed coefficient, the tire contact length of the vehicle under test, and the vehicle speed of the vehicle under test in the road test data.

6. The tire wear measurement method according to claim 4, characterized in that, The formula for calculating the vertical load on the tires of the vehicle under test is as follows: ； ； In the formula, This indicates the tire contact length of the vehicle under test. This indicates the rolling radius of the tires of the vehicle under test. This indicates the tire pressure coefficient of the vehicle being tested. This represents the rolling speed coefficient of the tires of the vehicle under test. This indicates the speed of the vehicle being tested.

7. A tire wear measurement system, characterized in that, include: The road test module is used to conduct road test experiments on the vehicle under test and process the results of the road test experiments based on preset road test standards to obtain the road test data of the vehicle under test. The data calculation module is used to parse the radial acceleration sampling data in the road test data, and calculate the ground contact time of the inner test point of the tire of the vehicle under test and the tire rolling cycle of the vehicle under test based on the radial acceleration sampling data. The feature extraction module is used to calculate the vertical load of the tires of the vehicle under test based on the grounding time and the tire rolling cycle, and to extract features from the radial acceleration sampling data to obtain the corresponding feature data. The wear calculation module is used to obtain the friction coefficient of the tires of the vehicle under test, calculate the friction loss rate of the tires of the vehicle under test based on the friction coefficient and the road test data, and calculate the actual wear of the tires of the vehicle under test based on the friction loss rate and the tire rolling cycle. The wear comparison module is used to construct a wear prediction model and input the feature data and the vertical load into the wear prediction model to obtain the wear prediction amount. The wear prediction amount is compared with the actual wear amount to output the corresponding comparison result.

8. The tire wear measurement system according to claim 7, characterized in that, The road test module includes: The condition definition unit is used to define the execution conditions of the road test experiment and mark two coordinate points on the center line of the inner wall of the tire of the vehicle under test and the position of the sensor installed in the tire. The road test unit is used to conduct road test experiments on the vehicle under test based on the two coordinate points, the sensor position, and the execution conditions, and to perform coordinate transformation and data processing on the collected road test data to obtain the road test data of the vehicle under test.

9. A readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the tire wear measurement method as described in any one of claims 1 to 6.

10. A computer comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the tire wear measurement method as described in any one of claims 1 to 6.

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