A method, device and network device for calculating the life of a vehicle part

Abstract

The application provides a vehicle part life calculation method and device and a network device, wherein, in the case of vehicle operation, the operation parameters corresponding to the vehicle parts collected by the vehicle controller are acquired; according to the operation parameters, the load data of the vehicle parts in multiple operation cycles is acquired; the load data is statistically analyzed by using a cycle counting method to obtain load statistical data; and according to the load statistical data, the service life of the vehicle parts is determined. In the operation cycle of the vehicle, the load data is acquired for statistics, the load of the real-time working condition is counted for statistics, and then data processing and analysis are performed, the cycle number is more accurately counted compared with the load data acquired for statistical analysis in the cycle divided by time, invalid data is reduced, and thus the authenticity of the life calculation is ensured and the user trust degree is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicles, in particular to a vehicle part life calculation method, device and network device. BACKGROUND

[0002] It is known that vehicles travel in complex road conditions, and adverse working conditions such as flying vehicles, vehicles being thrown off the ground, and sudden braking may be encountered. The actual load of vehicle parts is crucial to the strength design and development of vehicle components. If the strength design is too large, overdesign will cause resource waste, and if the strength design is not enough, frequent failures will occur, leading to customer complaints and after-sales claims, resulting in economic losses. In the prior art, the expected remaining life of the vehicle parts is calculated by statistically analyzing the load of the vehicle parts during the driving process, and the driver is prompted to reduce the risk of breakdown. However, the traditional data processing method cannot accurately count the number of cycles, resulting in distorted life calculation, which is not suitable for real-time life calculation. SUMMARY

[0003] The purpose of the present application is to provide a vehicle part life calculation method, device and network device, which solves the problem that the data processing method in the prior art is not accurate enough at different vehicle speeds, resulting in distorted life calculation and not suitable for real-time life calculation.

[0004] To solve the above technical problems, the present application provides a vehicle part life calculation method, wherein the method comprises:

[0005] In the case of vehicle operation, the operating parameters corresponding to the vehicle parts collected by the vehicle controller are obtained;

[0006] According to the operating parameters, the load data of the vehicle parts in multiple operating cycles is obtained;

[0007] The load data is statistically analyzed using a cycle counting method to obtain load statistical data;

[0008] According to the load statistical data, the service life of the vehicle parts is determined.

[0009] Optionally, the calculation method, wherein the method further comprises:

[0010] According to the vehicle operating mode, the load form of the vehicle parts is obtained;

[0011] According to the operating parameters, the load data of the vehicle parts in multiple operating cycles is obtained;

[0012] According to the load form and the operating parameters, the operating cycle of the vehicle parts is obtained;

[0013] During the running of the vehicle, the load data is obtained in each running cycle.

[0014] Optionally, the calculating method, wherein the load data is statistically analyzed by using the cycle counting method to obtain load statistical data, comprises:

[0015] determining whether the multiple load data satisfies a running cycle to obtain a first determination result;

[0016] in the case that the first determination result is yes, determining whether the number of the multiple load data is less than a first value to obtain a second determination result;

[0017] in the case that the second determination result is yes, storing the maximum value in the multiple load data in a first data group;

[0018] inserting a minimum load data value before the first bit and after the last bit of each load data in the first data group to obtain the load statistical data.

[0019] Optionally, the calculating method, wherein the method further comprises:

[0020] in the case that the second determination result is no, reserving extreme values in a current data group;

[0021] determining whether the number of the extreme values is less than the first value to obtain a third determination result;

[0022] in the case that the third determination result is yes, storing the maximum value in the extreme values in the first data group;

[0023] inserting a minimum load data value before the first bit and after the last bit of each load data in the first data group to obtain the load statistical data.

[0024] Optionally, the calculating method, wherein the method further comprises:

[0025] in the case that the third determination result is no, deleting intermediate data which is monotonously increasing or monotonously decreasing in the multiple load data to obtain screened load data;

[0026] determining whether the number of the screened load data is less than a second value to obtain a fourth determination result;

[0027] in the case that the fourth determination result is yes, storing the maximum value in the screened load data in the first data group;

[0028] The first bit before and the last bit after each of the load data in the first data group are inserted with a minimum load data value, so as to obtain the load statistical data.

[0029] Optionally, the computing method, wherein the acquiring, in the case of vehicle operation, of the operation parameter corresponding to the vehicle part collected by the vehicle controller comprises:

[0030] The data acquisition signal is sent to the vehicle controller in the case of vehicle operation.

[0031] The operation parameter sent by the vehicle controller is received.

[0032] In order to achieve the above purpose, the application provides a vehicle part life calculation device, which is applied to a vehicle operation module and comprises:

[0033] The first acquisition module is configured to acquire, in the case of vehicle operation, an operation parameter corresponding to a vehicle part collected by a vehicle controller.

[0034] The second acquisition module is configured to acquire, according to the operation parameter, load data of the vehicle part in multiple operation cycles.

[0035] The first processing module is configured to statistically analyze the load data by using a cycle counting method and acquire load statistical data.

[0036] The first determination module is configured to determine the service life of the vehicle part according to the load statistical data.

[0037] In order to achieve the above purpose, the application provides a vehicle part life calculation network device, which is applied to a vehicle and comprises a memory, a transceiver and a processor.

[0038] The memory is configured to store a computer program.

[0039] The transceiver is configured to transceive data under the control of the processor.

[0040] The processor is configured to read the computer program in the memory and perform the vehicle part life calculation method as described above.

[0041] The above technical scheme of the application has the following beneficial effects:

[0042] In the above scheme, the load data in the vehicle operation cycle is acquired for statistics, and the real-time working condition load is statistically counted and then processed and analyzed, so that the cycle number is more accurately counted and analyzed than the load data in the period divided by time, invalid data is reduced, the authenticity of the life calculation is guaranteed, and the user trust is improved. BRIEF DESCRIPTION OF DRAWINGS

[0043] Figure 1 A schematic diagram of a vehicle part life calculation method according to an embodiment of the present application;

[0044] Figure 2 A schematic diagram of a vehicle part life calculation device according to an embodiment of the present application;

[0045] Figure 3 A load counting flowchart of a vehicle part life calculation method according to an embodiment of the present application;

[0046] Figure 4 A load counting flowchart of a vehicle part life calculation method according to an embodiment of the present application. DETAILED DESCRIPTION

[0047] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, and not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0048] The present application aims at the problem in the prior art that the processing method of part load data under different vehicle speeds is not accurate enough, resulting in distorted life calculation and being not suitable for real-time life calculation, and provides a vehicle part life calculation method, device and network device.

[0049] As shown in Figure 1 The present application provides a vehicle part life calculation method, wherein the method comprises:

[0050] S10, acquiring running parameters of a vehicle part corresponding to a vehicle controller under the condition that the vehicle is running;

[0051] S20, acquiring load data of the vehicle part in multiple running cycles according to the running parameters;

[0052] S30, statistically analyzing the load data using a cycle counting method to obtain load statistical data;

[0053] S40, determining the service life of the vehicle part according to the load statistical data.

[0054] In this embodiment, the load data is obtained for statistics in a vehicle operation cycle, and the load of a real-time working condition is counted and statistically analyzed. Compared with the load data obtained for statistical analysis in a time-divided cycle, the cycle number is more accurately counted, the invalid data is reduced, the authenticity of the service life calculation is ensured, and the user trust is improved.

[0055] Optionally, the calculation method, wherein the method further comprises:

[0056] According to the vehicle operation mode, the load form of the vehicle part is obtained;

[0057] According to the operation parameters, the load data of the vehicle part in multiple operation cycles is obtained, comprising:

[0058] According to the load form and the operation parameters, the operation cycle of the vehicle part is obtained;

[0059] In the vehicle operation process, the load data is obtained in each operation cycle.

[0060] It should be noted that, usually in the test stage, the load collection and processing is converted into an electrical signal through a strain gauge, and the signal is sent to a receiving device through a wireless transmission device. The received signal is in the form of an analog quantity or a CAN signal. In the mass production vehicle without sensors, the load borne by the parts is calculated by using signals such as engine, transmission ratio, wheel speed and transmission efficiency of the transmission system. The collected load is processed by a special device, and the load calculation according to the vehicle parameters needs a transfer case control unit or an integrated controller to complete. Whether the collected load or the calculated load is processed in cycles, such as CAN signals 10ms or 20ms. This results in that the amount of load data in the same time is the same at different vehicle speeds. Typically, the vehicle is in a stationary state, and the control unit also receives the load in cycles. This will cause a large amount of test data to be inconsistent with the actual working condition. In a stable working condition, most of the loads are not much different, and the data collected or calculated may be filtered out in data processing. Different parts have different load forms, and even the same part bears different loads in different gears, such as the chain of a time transfer case, which is idle and not forced in 2H gear, and bears load in 4H and 4L gears. Based on this situation, the loaded parts such as the chain or output shaft are counted according to their load characteristics and operation cycles, which avoids the problem of redundant signals collected at different speeds when the vehicle is stopped. In data processing, the data in this small unit is processed as the basic unit, and then superimposed on the total load, which can avoid the problem that too much load is filtered out in the case of little change in the value, and greatly reduces the distortion.

[0061] AsFigure 3 Optionally, the calculating method, wherein the step S30 comprises:

[0062] determining whether the plurality of load data satisfies one of the operation cycles to obtain a first determination result;

[0063] in the case that the first determination result is yes, determining whether the number of the plurality of load data is less than a first value to obtain a second determination result;

[0064] in the case that the second determination result is yes, storing the maximum value of the plurality of load data in a first data group;

[0065] inserting a minimum load data value before the first bit and after the last bit of each load data in the first data group to obtain the load statistical data.

[0066] In this embodiment, the vehicle part chain is taken as an example to be described as follows: the stress value of the nth record collection or calculation is recorded into a second data group (B1 array) until one operation cycle is satisfied, in the case that the number of data in the B1 array is less than the first value (for example, 3), the maximum value is stored in a first data group (B2 array), the B1 array starts to count again, the first and last of the B2 array are inserted with a minimum load data value (0 value), because the stress value of the chain is usually from 0 value to 0 value, the B2 array is added to a B4 array, wherein the B4 array is the load statistical data, and the B2 array is emptied.

[0067] Optionally, the calculating method, wherein the method further comprises:

[0068] in the case that the second determination result is no, keeping the extreme value in the current data group;

[0069] determining whether the number of the extreme value is less than the first value to obtain a third determination result;

[0070] in the case that the third determination result is yes, storing the maximum value of the extreme value in the first data group;

[0071] inserting a minimum load data value before the first bit and after the last bit of each load data in the first data group to obtain the load statistical data.

[0072] In the embodiment, when the number of data in the B1 array is greater than the first number (for example, 3), that is, when the second determination result is no, the extreme values in the current data group are retained, that is, the peak values and the trough values in the B1 array are retained. When the number of remaining array data is less than 3, that is, when the third determination result is yes, the maximum value is selected and stored in the array B2, the B1 is re-counted, and a minimum load data value (0 value) is inserted into the first and last of the B2 array. Because the stress value usually starts from 0 value and ends at 0 value, the B2 array is added to the B4 array, wherein the B4 array is the load statistical data, and the B2 array is emptied. Using the data processing method as described above can exclude interference factors in the running process, for example, parts such as chains, which have uneven loads in a running cycle and need to be processed as above to obtain load statistical data that can participate in the service life calculation of vehicle parts, thereby improving the accuracy of the service life calculation of vehicle parts and improving user trust.

[0073] As Figure 4 shown, the calculation method, wherein the method further comprises:

[0074] In the case where the third determination result is no, the intermediate data monotonically increasing or monotonically decreasing in the plurality of load data is deleted to obtain screened load data;

[0075] It is determined whether the number of the screened load data is less than a second number to obtain a fourth determination result;

[0076] In the case where the fourth determination result is yes, the maximum value in the screened load data is selected and stored in the first data group;

[0077] A minimum load data value is inserted before the first bit and after the last bit of each load data in the first data group to obtain the load statistical data.

[0078] In the embodiment, in the data filtering process, the ith (i is a natural number greater than 1) data is compared with two adjacent data, when the adjacent data is less than the ith data or greater than the ith data, the data is a peak or a valley value, the data is reserved, in the case that the ith data belongs to a monotonically increasing or monotonically decreasing and the difference between the ith data and the ith-1 data is less than a preset value σc, the data is deleted, until the data extreme value of the small loop in the running cycle is obtained, the maximum value is taken and stored in the B2 array, and a minimum load data value is inserted before the first bit and after the last bit of each load data in the first data group, the load statistical data, that is, the B4 array, is obtained, and the B2 array is emptied. During the running of the vehicle, the load of the vehicle parts is uneven, in order to ensure the accuracy of the load data, it is necessary to filter the load data changed in the running cycle to obtain the load statistical data which can represent the load of the parts in the whole running cycle, so as to improve the calculation accuracy and improve the user experience.

[0079] Optionally, the calculation method, wherein the step S10 comprises:

[0080] In the case of vehicle running, a chain data acquisition signal is sent to the vehicle controller.

[0081] The running parameters sent by the vehicle controller are received.

[0082] It should be noted that, in general, the load data of the vehicle parts cannot be directly obtained, and a method for obtaining the load torque of the parts needs to be adopted or established, and then the number of revolutions of the parts in the current signal cycle is obtained through the wheel speed signal and the speed ratio, the relationship coefficient between the running cycle of the parts and the signal cycle is obtained, and the load data is collected or calculated by the vehicle controller, and the load in the running cycle is processed, including filtering the data in the running cycle and counting the load cycle, so as to determine the service life of the vehicle parts.

[0083] In the case of vehicle running, a chain data acquisition signal is sent to the vehicle controller.

[0084] The known speed is the output shaft speed N of the transmission op (i.e. the input speed of the transfer).

[0085] The speed ratio of the transfer in 4H\4L gears is i 4H ,i 4L , respectively.

[0086] 4H gear: N trf =N op / i 4H , N trr =Nop / i 4H ,

[0087] 4L gear: N trf =N op / i 4L N trr =N op / i 4L ,

[0088] Similarly, if the rotational speed is known to be the wheel speed, then the output rotational speeds before and after the transfer case can be calculated based on the wheel speed and the main reduction ratio.

[0089] The vehicle controller sends the corresponding rotational speed N. trf The operating parameters are fed into the vehicle computing module to calculate the operating cycle.

[0090] The chain has Z2 teeth, the sprocket has Z1 teeth, and the chain speed is N. tc =N trf *Z1 / Z2;

[0091] The number of chain revolutions per unit time Δt is: N tc *Δt

[0092] Since only the upper half of the chain is subjected to force, when the rotational speed remains constant, within n unit time intervals Δt, N tc *n*Δt=0.5

[0093] This indicates that a certain link in the chain has completed the process from the beginning of bearing tension to the end of bearing tension.

[0094] (N trf1 +N trf2 +…N trfn )*Z1 / Z2*Δt*C nc =0.5

[0095] 2*(N) trf1 +N trf2 +…N trfn )*Z1 / Z2*Δt*C nc Defined as a load statistics running cycle, C tr =2*Z1 / Z2*Δt*C nc As the basic coefficient, C nc For standardization.

[0096] (N trf1 +N trf2 +…N trfn )*C tr =1

[0097] The vehicle operation module calculates the operation period of the vehicle by the above method, and collects or calculates the vehicle parts according to the operation period, so as to obtain more accurate data.

[0098] Assuming that the engine torque is T n , the torque converter torque is i tc , the transmission speed ratio is i t , the sprocket divider diameter is r c , and the minimum cross-sectional area of the chain is S chain

[0099] The sprocket torque is: T chain =T n *i tc *i t *i 4H ,

[0100] The force on the chain is: F chain =T chain / r c

[0101] The stress of the chain is: σ chain =F chain / S chain

[0102] The vehicle controller sends the stress of the chain to the vehicle operation module for load counting after completing the basic operation as described above.

[0103] As Figure 2 shown, in order to achieve the above purpose, the application provides a device for vehicle part load statistics, wherein the device is applied to a vehicle operation module, and the device comprises:

[0104] A first acquisition module 01 is configured to acquire operation parameters corresponding to vehicle parts collected by a vehicle controller under the condition that a vehicle is running.

[0105] A second acquisition module 02 is configured to acquire load data of the vehicle parts in multiple operation periods according to the operation parameters.

[0106] A first processing module 03 is configured to statistically analyze the load data by using a cycle counting method to acquire load statistical data.

[0107] A first determination module 04 is configured to determine the service life of the vehicle parts according to the load statistical data.

[0108] Optionally, the calculation device, wherein the device further comprises:

[0109] A third acquisition module is configured to acquire a load form of the vehicle parts according to a vehicle operation mode.

[0110] The second obtaining module 02 comprises:

[0111] The first obtaining unit is configured to obtain the operation cycle of the vehicle part according to the load form and the operation parameter.

[0112] The second obtaining unit is configured to obtain the load data in each operation cycle during the operation of the vehicle.

[0113] Optionally, the computing device, wherein the first processing module 03 comprises:

[0114] The third obtaining unit is configured to determine whether the plurality of load data satisfies one operation cycle to obtain a first determination result.

[0115] The first determining unit is configured to determine whether the number of the plurality of load data is less than a first value when the first determination result is yes to obtain a second determination result.

[0116] The first processing unit is configured to store the maximum value of the plurality of load data in the first data set when the second determination result is yes.

[0117] The fourth obtaining unit is configured to insert a minimum load data value before the first bit and after the last bit of each load data in the first data set to obtain the load statistical data.

[0118] Optionally, the computing device, wherein the device further comprises:

[0119] The second processing module is configured to retain the extreme value in the current data set when the second determination result is no.

[0120] The first determining module is configured to determine whether the number of the extreme value is less than the first value to obtain a third determination result.

[0121] The third processing module is configured to store the maximum value of the extreme value in the first data set when the third determination result is yes.

[0122] The fourth processing module is configured to insert a minimum load data value before the first bit and after the last bit of each load data in the first data set to obtain the load statistical data.

[0123] Optionally, the computing device, wherein the device further comprises:

[0124] The fifth processing module is configured to delete intermediate data that monotonously increases or monotonously decreases from the plurality of load data when the third determination result is no, and obtain screened load data;

[0125] The second determination module is configured to determine whether the number of the screened load data is less than a second value, and obtain a fourth determination result;

[0126] The sixth processing module is configured to store a maximum value in the screened load data in the first data group when the fourth determination result is yes.

[0127] The seventh processing module is configured to insert a minimum load data value before the first bit and after the last bit of each load data in the first data group, and obtain the load statistical data.

[0128] Optionally, the computing device, wherein the first obtaining module 01 comprises:

[0129] The first sending unit is configured to send a data acquisition signal to the vehicle controller when the vehicle is running.

[0130] The first receiving unit is configured to receive the running parameter sent by the vehicle controller.

[0131] In this embodiment, when counting, the rain flow method and the crossing method are used for counting and statistics in one running cycle or a software array set by software. When counting load, different basic data storage arrays are set according to the load characteristics of the parts. Taking a chain as an example, two arrays are set in one running cycle, the first data is stored in the first data group, the second data is stored in the second data group, and so on. Odd data is stored in the first data group, and even data is stored in the second data group.

[0132] In order to achieve the above purpose, the application provides a kind of vehicle part life calculation network equipment, wherein, applied to vehicle, including memory, transceiver and processor:

[0133] The memory is configured to store a computer program.

[0134] The transceiver is configured to transceive data under the control of the processor.

[0135] The processor is configured to read the computer program in the memory and execute the vehicle part life calculation method as described above.

[0136] In the embodiment, the data acquisition or calculation and then data processing based on the running cycle is suitable for many running loss vehicle parts, and different relationship coefficients are used according to the load characteristics. The data processing is suitable for the real-time data collected by the load collection equipment, and is also suitable for the load calculated according to the vehicle parameters.

[0137] It should be noted that the above device provided by the embodiment of the present application can realize all method steps realized by the method embodiment and achieve the same technical effects. Therefore, the same parts and beneficial effects of the method embodiment in the embodiment will not be described in detail.

[0138] Obviously, various modifications and variations of the present application can be made by those skilled in the art without departing from the spirit and scope of the application. Thus, it is intended that the present application include modifications and variations to the application made in light of the above disclosure.

Claims

1. A method for calculating the lifespan of vehicle parts, characterized in that, The method includes: While the vehicle is in operation, acquire the operating parameters corresponding to the vehicle parts collected by the vehicle controller; Based on the operating parameters, the load data of the vehicle parts in multiple operating cycles are obtained; The load data was statistically analyzed using the cyclic counting method to obtain load statistics data; The service life of the vehicle parts is determined based on the load statistics. The step of using the cyclic counting method to perform statistical analysis on the load data to obtain load statistical data includes: Determine whether the multiple load data satisfy one of the operating cycles to obtain a first determination result; If the first determination result is yes, determine whether the number of multiple load data is less than the first value, and obtain the second determination result; If the second determination result is yes, the maximum value among the multiple load data is stored in the first data group; Insert a minimum load data value before the first digit and after the last digit of each load data in the first data group to obtain the load statistics data. If the second judgment result is negative, retain the extreme values ​​in the current data set; Determine whether the number of extreme values ​​is less than the first value to obtain a third determination result; If the third judgment result is yes, the maximum value among the extreme values ​​is selected and stored in the first data group; Insert a minimum load data value before the first digit and after the last digit of each load data in the first data group to obtain the load statistics.

2. The calculation method according to claim 1, characterized in that, The method further includes: Based on the vehicle operating mode, obtain the load type of the vehicle parts; The step of obtaining load data of the vehicle parts over multiple operating cycles based on the operating parameters includes: The operating cycle of the vehicle parts is obtained based on the load type and the operating parameters. During vehicle operation, the load data is acquired within each of the aforementioned operating cycles.

3. The calculation method according to claim 1, characterized in that, The method further includes: If the third judgment result is negative, delete the intermediate data that are monotonically increasing or monotonically decreasing from the multiple load data to obtain the filtered load data; Determine whether the number of filtered load data is less than the second value to obtain a fourth determination result; If the fourth judgment result is yes, the maximum value in the filtered load data is selected and stored in the first data group; Insert a minimum load data value before the first digit and after the last digit of each load data in the first data group to obtain the load statistics.

4. The calculation method according to claim 1, characterized in that, The process of acquiring operating parameters corresponding to vehicle parts collected by the vehicle controller while the vehicle is in operation includes: While the vehicle is in operation, data acquisition signals are sent to the vehicle controller; Receive the operating parameters sent by the vehicle controller.

5. A device for calculating the lifespan of vehicle parts, characterized in that, The device, applied to a vehicle computing module, includes: The first acquisition module is used to acquire the operating parameters corresponding to the vehicle parts collected by the vehicle controller when the vehicle is running. The second acquisition module is used to acquire load data of the vehicle parts in multiple operating cycles based on the operating parameters. The first processing module is used to perform statistical analysis on the load data using the cyclic counting method to obtain load statistical data. The first determining module is used to determine the service life of the vehicle parts based on the load statistics. The first processing module includes: The third acquisition unit is used to determine whether the multiple load data satisfy one operating cycle and obtain a first judgment result; The first determining unit is configured to determine whether the number of multiple load data is less than a first value when the first determination result is yes, and obtain a second determination result; The first processing unit is configured to store the maximum value among the multiple load data in a first data group when the second determination result is yes; The fourth acquisition unit is used to insert a minimum load data value before the first digit and after the last digit of each load data in the first data group to obtain the load statistics data. The device further includes: The second processing module is used to retain the extreme values ​​in the current data group when the second judgment result is negative. The first judgment module is used to determine whether the number of extreme values ​​is less than the first value, and to obtain a third judgment result; The third processing module is used to select the maximum value among the extreme values ​​and store it in the first data group when the third judgment result is yes. The fourth processing module is used to insert a minimum load data value before the first digit and after the last digit of each load data in the first data group to obtain the load statistics.

6. A network device for calculating the lifespan of vehicle parts, characterized in that, Applications in vehicles include memory, transceivers, and processors. Memory, used to store computer programs; Transceiver, used to send and receive data under the control of the processor; A processor for reading a computer program from the memory and executing the method for calculating the lifespan of a vehicle part as described in any one of claims 1 to 4.

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