Test progress monitoring method, system and equipment and storage medium

Abstract

The invention discloses a test progress monitoring method, system and device and a storage medium, when the method is executed, state information corresponding to an engine, a driving motor and a clutch is obtained; inputting the obtained state information into an analysis model to obtain motion information corresponding to the examination part, and determining fatigue life calculation parameters of the examination part based on the motion information output by the analysis model; based on a load counting algorithm, a fatigue life calculation parameter and a fatigue damage index corresponding to the examination part, determining a fatigue damage cumulative life corresponding to the examination part; and comparing the current fatigue damage cumulative life of the examination part with the fatigue cumulative life of the examination part under the target examination working condition to obtain a test progress. The calculated test progress state of each key component better conforms to the actual situation of the current hybrid gearbox test, errors are reduced, and the accuracy of monitoring the test progress of the hybrid gearbox is improved.

Description

Technical Field

[0001] This application relates to the technical field of fatigue damage prediction of parts for assessment, and particularly relates to a method, system, device and storage medium for monitoring the test progress. Background Art

[0002] After the test run of the hybrid transmission starts, in the operating assessment conditions, some parts suffer fatigue damage, resulting in the inability of the hybrid transmission to continue the operating assessment conditions. When any component of the transmission enters the fatigue limit state, that is, when the remaining fatigue life is close to 0, then this component reaches the fatigue life limit of the hybrid transmission assembly.

[0003] Currently, it is usually adopted to calculate the proportion of the number of completed test conditions in the total number of complete test conditions. During the actual test run of the hybrid transmission, impacts under different sub-conditions in the large cycle, alternating conditions at the connection between sub-conditions, and unexpected shutdown and restart during the test execution process, etc., have varying degrees of influence on the true load of the parts. Therefore, in the actual application scenario, if the test progress is calculated only based on the proportion of the number of completed conditions in the total number of complete test conditions, a large error will occur.

[0004] Therefore, how to accurately determine the test progress of the hybrid transmission bench test is a technical problem that needs to be solved urgently by those skilled in the art. Summary of the Invention

[0005] Based on the above problems, this application provides a method, system, device and storage medium for monitoring the test progress to accurately determine the test progress of the hybrid transmission bench test.

[0006] To solve the above problems, the technical solutions provided in the embodiments of this application are as follows:

[0007] The first aspect of this application provides a method for monitoring the test progress, including:

[0008] Obtain the state information corresponding to the engine, drive motor and clutch respectively;

[0009] Input the obtained state information into the analysis model to obtain the motion information corresponding to the parts to be assessed. The parts to be assessed are the parts used to ensure the normal operation of the hybrid transmission test. The motion information is used to characterize the operation of the parts to be assessed. The analysis model is a model trained based on the power transmission path, the position of the parts to be assessed and the gear ratio, and the analysis accuracy rate reaches the preset precise threshold;

[0010] Based on the motion information output by the analysis model, determine the fatigue life calculation parameters of the parts to be assessed;

[0011] Determine the cumulative fatigue damage life corresponding to the component under test based on the load counting algorithm, fatigue life calculation parameters, and fatigue damage index corresponding to the component under test;

[0012] Compare the current cumulative fatigue damage life of the component under test with the cumulative fatigue life of the component under test under the target test conditions to obtain the test progress.

[0013] Optionally, the method for constructing the analysis model includes:

[0014] Determine the power transmission path according to the operating states of the component under test and the hybrid transmission conditions, arrange the component under test at the corresponding preset position based on the power transmission path, and perform training in combination with the gear transmission ratio and moment of inertia to obtain an analysis model with an accuracy reaching the preset accuracy threshold.

[0015] Optionally, the component under test includes a shaft, a gear, and a bearing. Determining the fatigue life calculation parameters of the component under test based on the motion information output by the analysis model includes:

[0016] Determine the generalized stress value of the gear as the torque value on the shaft where the gear is located, and determine the generalized equivalent dynamic load of the bearing as the torque value on the shaft where the bearing is located.

[0017] Optionally, the fatigue life calculation parameters include the torque value of the shaft. Determining the cumulative fatigue damage life corresponding to the component under test based on the load counting algorithm, fatigue life calculation parameters, and fatigue damage index corresponding to the component under test includes:

[0018] When the component under test is a shaft, convert the load on the shaft into a non-alternating cyclic load that can be used to calculate fatigue damage based on the rainflow counting algorithm and the torque value of the shaft;

[0019] Based on the Goodman curve, convert the non-alternating cyclic load into an alternating torque value that can satisfy the calculation of the applied stress-life curve;

[0020] Based on the alternating torque value, the Basquin equation, and the fatigue damage index of the shaft, determine the fatigue damage life value of the shaft.

[0021] Optionally, determining the cumulative fatigue damage life corresponding to the component under test based on the load counting algorithm, fatigue life calculation parameters, and fatigue damage index corresponding to the component under test includes:

[0022] When the component under test is a gear, convert the random load on the shaft and the gear into a non-alternating cyclic load that can be used to calculate fatigue damage based on the rotary rainflow algorithm, the generalized stress value of the gear, and the rotational speed value of the gear;

[0023] Based on the Goodman curve, convert the non-alternating cyclic load into an alternating generalized stress value that can satisfy the calculation of the applied stress-life curve.

[0024] Based on the Basquin equation and the fatigue damage index of the gear, determine the fatigue damage life value of the gear.

[0025] Optionally, the determining the cumulative fatigue damage life corresponding to the test part based on the load counting algorithm, fatigue life calculation parameters, and fatigue damage index corresponding to the test part includes:

[0026] When the test part is a bearing, calculate and determine the fatigue damage life value of the bearing based on the bearing life calculation formula, the generalized equivalent dynamic load of the bearing, and the life index of the bearing.

[0027] Optionally, the obtaining the test progress by comparing the current cumulative fatigue damage life of the test part with the cumulative fatigue life of the test part under the target test condition includes:

[0028] In response to the target test condition being a sub-condition included in the complete test condition, and the test part being the first part, obtain the first cumulative fatigue life of the first part under the sub-condition and the first current cumulative fatigue damage life of the first part at the current moment, where the first part is at least one of a shaft, a gear, and a bearing;

[0029] Compare the first current cumulative fatigue damage life of the first part with the first cumulative fatigue life to obtain the test progress.

[0030] The second aspect of the present application provides a test progress monitoring system, including:

[0031] An acquisition unit for acquiring the state information corresponding to the engine, the drive motor, and the clutch respectively;

[0032] A motion information determination unit for inputting the acquired state information into an analysis model to obtain the motion information corresponding to the test part, where the test part is a part for ensuring the normal operation of the hybrid transmission test, and the analysis model is trained based on the power transmission path, the position of the test part, and the gear ratio, and the analysis accuracy reaches a preset precise threshold;

[0033] A fatigue life calculation parameter determination unit for determining the fatigue life calculation parameters of the test part based on the motion information output by the analysis model;

[0034] A cumulative fatigue damage life determination unit for determining the cumulative fatigue damage life corresponding to the test part based on the load counting algorithm, fatigue life calculation parameters, and fatigue damage index corresponding to the test part;

[0035] A test progress determination unit, configured to compare the current cumulative fatigue damage life of the test part with the cumulative fatigue life of the test part under the target test condition, so as to obtain the test progress.

[0036] The third aspect of the present application provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the test progress monitoring method described in any one of the foregoing first aspects is implemented.

[0037] The fourth aspect of the present application provides a computer-readable storage medium, in which instructions are stored. When the instructions run on a terminal device, the terminal device is caused to execute the test progress monitoring method described in any one of the foregoing first aspects.

[0038] Compared with the prior art, the present application has the following beneficial effects:

[0039] In the present application, by obtaining the state information corresponding to the engine, the drive motor, and the clutch respectively; inputting the obtained state information into an analysis model to obtain the motion information corresponding to the test part, where the test part is a part for ensuring the normal operation of the hybrid transmission test, and the analysis model is trained based on the power transmission path, the position of the test part, and the gear ratio, and the obtained analysis accuracy reaches a preset accurate threshold; determining the fatigue life calculation parameters of the test part based on the motion information output by the analysis model; determining the cumulative fatigue damage life corresponding to the test part based on the load counting algorithm, the fatigue life calculation parameters, and the fatigue damage index corresponding to the test part; comparing the current cumulative fatigue damage life of the test part with the cumulative fatigue life of the test part under the target test condition to obtain the test progress. In the process of calculating the remaining fatigue life of the hybrid transmission test parts, the transmission of key components, as well as the effects of the load model and the load spectra of key components, are comprehensively considered, so that the test progress status of each key component calculated is more in line with the actual situation of the current hybrid transmission test, reducing errors and improving the accuracy of monitoring the test progress of the hybrid transmission. Description of the Drawings

[0040] To more clearly illustrate the technical solutions in the embodiments or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0041] Figure 1 It is a flowchart of a test progress monitoring method provided by an embodiment of the present application;

[0042] Figure 2 The relationship curve between alternating load and life provided by the embodiment of the present application;

[0043] Figure 3 The schematic diagram of the application of the rain flow counting algorithm provided by the embodiment of the present application;

[0044] Figure 4 The schematic diagram of the application of the rotating rain flow counting algorithm provided by the embodiment of the present application;

[0045] Figure 5 The schematic diagram of the process of the assessment working condition provided by the embodiment of the present application;

[0046] Figure 6 The structure diagram of a test progress monitoring system provided by the embodiment of the present application;

[0047] Figure 7 The structure schematic diagram of a computer device provided by the embodiment of the present application. Detailed implementation manners

[0048] In order to enable those skilled in the art to better understand the solution of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0049] To facilitate the understanding of the technical solution provided by the embodiment of the present application, the background technology related to the embodiment of the present application will be described first below.

[0050] As described above, for different assessment purposes, the fatigue life of a hybrid transmission can be divided into three categories: structural fatigue life (reaching the fatigue life through the simulation of structural strength results), operating condition fatigue life (reaching a cycle under certain test operating conditions), and defect fatigue life (fatigue damage caused by design). When any component of the transmission enters one of the above three fatigue limit states, that is, when the remaining fatigue life is close to 0, the fatigue life limit of the hybrid transmission assembly is reached, which means that the component suffers fatigue damage and the hybrid transmission can no longer operate under the assessment operating conditions. During the actual test operation of the hybrid transmission, it is affected by impacts under different sub-operating conditions in large cycles, as well as the alternating operating conditions between sub-operating conditions. In addition, unexpected shutdowns and restarts during the test execution also have an impact. As a result, the true load of the components will be affected differently. Therefore, only using the proportion of the number of test operating conditions completed in the calculation to the total number of test operating conditions in the complete test conditions to determine the test progress will result in a large error between the true test progress of the components inside each transmission and the proportion of the number of completed operating conditions to the total number of test operating conditions in the complete test conditions.

[0051] To solve the above technical problems, the embodiment of the present application provides a test progress monitoring method, which includes obtaining the state information corresponding to the engine, the drive motor, and the clutch respectively; inputting the obtained state information into an analysis model to obtain the motion information corresponding to the assessment components, where the assessment components are the components used to ensure the normal operation of the hybrid transmission test, and the analysis model is trained based on the power transmission path, the positions of the assessment components, and the gear ratio, and the obtained analysis accuracy reaches a preset accurate threshold; determining the fatigue life calculation parameters of the assessment components based on the motion information output by the analysis model; determining the cumulative fatigue damage life corresponding to the assessment components based on the load counting algorithm, the fatigue life calculation parameters, and the fatigue damage index corresponding to the assessment components; and calculating the ratio of the current cumulative fatigue damage life of the assessment components to the cumulative fatigue life of the assessment components under the target assessment operating conditions to obtain the test progress. During the process of calculating the remaining fatigue life of the components in the hybrid transmission test, the transmission of key components, as well as the roles of the load model and the load spectra of each key component, are comprehensively considered, so that the calculated test progress status of each key component is more in line with the actual situation of the current hybrid transmission test, reducing errors and improving the accuracy of monitoring the test progress of the hybrid transmission.

[0052] In addition, the embodiment of the present application may not limit the execution subject of the test progress monitoring method. For example, the test progress monitoring method of the embodiment of the present application can be applied to data processing devices such as terminal devices or servers. Among them, the terminal device can be an electronic device such as a smart phone, a computer, a personal digital assistant (PDA), or a tablet computer. The server can be an independent server, a cloud server, or a cluster server composed of multiple servers.

[0053] In order to make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the following will clearly and completely describe the technical solutions in the embodiments of this application with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, rather than all of them. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this application.

[0054] The following uses an embodiment to illustrate a test progress monitoring method provided by this application. Refer to Figure 1 , which is a flowchart of a test progress monitoring method provided by an embodiment of this application. The execution subject of this method process is a server, and this method includes:

[0055] Step S101, obtain the status information corresponding to the engine, drive motor, and clutch respectively.

[0056] Among them, the status information is used to characterize the operation of the device. For example, it may include the engine speed value n e and the engine torque value T e measured in real time by a torque sensor during a bench test, the drive motor speed value n M and the drive motor torque value T M , and the clutch pressure value that can be measured by a pressure sensor to determine whether the clutch is engaged.

[0057] It should be noted that the above measurement devices are only for illustration, and in actual application scenarios, the measurement devices can be adaptively adjusted according to actual needs.

[0058] Step S102, input the obtained status information into the analysis model to obtain the motion information corresponding to the parts to be evaluated.

[0059] The parts to be evaluated are the parts used to ensure the normal operation of the hybrid transmission test. The analysis model is trained based on the power transmission path, the position of the parts to be evaluated, and the gear ratio of the gear position, and the obtained analysis accuracy reaches the preset accurate threshold.

[0060] Taking the status information of the engine, motor, and clutch in the bench test as input quantities, through the force and torque balance calculation in the model, the motion information of the parts to be evaluated is output in real time. The output quantities may include the rotation speed values n i and torque values T i of the shaft and gear in the hybrid transmission respectively, where i is the part number to be evaluated.

[0061] In actual application scenarios, the rotation speed n i= mod1(n e , n M ) * a i , where mod1(*) is the power source speed function under different drive strategies of the hybrid transmission, and a i is the total transmission ratio from the power source to the key component i; the torque of the shaft is Ti = mod2(T e , T M ) / a i , a i is the transmission ratio from the power source to the key component i. The working stress of the dangerous interfaces of parts such as gears and bearings can be obtained through simulation or tests based on the torque on the shaft where they are located, and its working stress has a linear relationship with the torque on the shaft where it is located. mod2(*) is the power source torque function of the hybrid transmission under different drive strategies to be evaluated, and the corresponding relationship between mod2() and different strategies of the hybrid transmission to be evaluated can be referred to in Table 1 below:

[0062] Table 1. Corresponding relationship between drive strategies and functions

[0063] Drive strategy Mod2() value Strategy 1 Mod2(1) Strategy 2 Mod2(2) Strategy 3 Mod2(3) …… ……

[0064] In a possible implementation manner, the method for constructing the analysis model includes:

[0065] Determine the power transmission path according to the operating states of the parts to be evaluated and the hybrid transmission working conditions, arrange the parts to be evaluated at corresponding preset positions based on the power transmission path, and perform training in combination with the gear transmission ratio and moment of inertia to obtain an analysis model with an accuracy reaching a preset accuracy threshold.

[0066] The characteristics of the hybrid transmission are that there are multiple drive power sources, and due to the change of test working conditions, there is a simultaneous switch between the power source and the gear position. In the process of constructing the model in this application, the test hybrid transmission is used as the object, the power transmission path is determined according to the actual operating state of the hybrid transmission, the positions of the parts to be evaluated are arranged, and the gear transmission ratio and moment of inertia are set to improve the accuracy of the model output, and a system model with an engine, a drive motor, a clutch, a drive shaft, transmission gears, and bearings is established. That is, the constructed model includes the positions of the hybrid transmission parts to be evaluated, the gear transmission ratios of the hybrid transmission, and different power sources and power transmission paths under different working conditions in the hybrid transmission.

[0067] To establish an analysis model of a hybrid transmission, the positions and transmission paths of multiple key components need to be considered. The power transmission path of the hybrid transmission includes components such as clutches, gear transmissions, mechanical continuously variable transmissions, shafts, differentials, half shafts, and side reducers, where the driving force needs to be transmitted to the drive wheels. If the drive wheels are also steering wheels, constant velocity joints need to be installed at the half shafts. In a gear transmission, the acceleration and deceleration of the gears will affect the gear rattle phenomenon, and the consumption of gear clearances needs to be considered. Therefore, when establishing the system model of the hybrid transmission, the positions and transmission paths of these key components need to be considered, and the gear transmission ratio and moment of inertia need to be set to improve the accuracy of the model output.

[0068] Step S103: Based on the motion information output by the analysis model, determine the fatigue life calculation parameters of the parts to be evaluated.

[0069] In a possible implementation, the parts to be evaluated include shafts, gears, and bearings, the motion information includes the torque value of the shaft, and determining the fatigue life calculation parameters of the parts to be evaluated based on the motion information output by the analysis model includes:

[0070] Determine the generalized stress value of the gear as the torque value on the shaft where the gear is located, determine the generalized equivalent dynamic load of the bearing as the torque value on the shaft where the bearing is located, and determine the fatigue life calculation parameter of the shaft as the torque value of the shaft. That is, the torque value on the shaft where the gear is located, the torque value on the shaft where the bearing is located, and the torque value of the shaft are the fatigue life calculation parameters of the parts to be evaluated and are used for subsequent calculation processes.

[0071] Among them, the generalized stress value of the gear refers to the combined action of various stresses that the gear is subjected to during operation. It includes contact stress, bending stress, shear stress, torsional stress, etc. During the gear design and use process, it is necessary to analyze and calculate the generalized stress value to ensure the normal operation and life of the gear. Among them, the contact stress is the main stress type in the gear, which is the stress generated due to the contact of the gear tooth surfaces, and its magnitude is related to factors such as the load, number of teeth, module, and tooth width of the gear. In gear design, it is necessary to select appropriate materials, geometric parameters, and process measures according to the actual situation to reduce the generalized stress value and improve the service life and reliability of the gear.

[0072] Step S104: Based on the load counting algorithm, fatigue life calculation parameters, and fatigue damage index corresponding to the parts to be evaluated, determine the cumulative fatigue damage life corresponding to the parts to be evaluated.

[0073] In a possible implementation, the method for obtaining the fatigue life influence parameters corresponding to the parts to be evaluated includes:

[0074] Based on the test records obtained from the basic conditions or historical collection of the hybrid transmission bench, all the parts to be evaluated in the test are determined. The parts to be evaluated are the parts in the hybrid transmission bench test that can affect whether the hybrid transmission test can operate normally. The parts to be evaluated may include shafts, gears, and bearings. Then, according to the parts to be evaluated, the fatigue life influence parameters corresponding to each part are determined.

[0075] First, when the part to be evaluated is a shaft, the static torsional limit x of the shaft can be obtained through the static strength test of the shaft and the measurement of the torque sensor; the slope coefficient is obtained from the S-N curve of the shaft material in the hybrid transmission, and this slope coefficient is used as the fatigue damage index p of the shaft;

[0076] Second, when the part to be evaluated is a gear, the torque value received by the gear when the gear is damaged can be measured through the static strength test of the gear and the torque sensor, and this value is used as the generalized stress limit y of the gear; the slope coefficient is obtained from the S-N curve of the gear material in the hybrid transmission, and this slope coefficient is used as the fatigue damage index q of the gear;

[0077] The S-N curve of the material reflects the relationship between the alternating load (the ratio of the maximum value to the minimum value of the alternating load is -1) borne by the standard specimen and the life. As Figure 2 shown, Figure 2 This is the relationship curve between the alternating load and the life provided by the embodiment of the present application. The abscissa of the curve is the logarithm of the specimen life, and the ordinate is the logarithm of the received alternating load. As shown in the figure, the curve is divided into three stages: the low-cycle fatigue area, the high-cycle fatigue area, and the sub-fatigue area. The load received by the key parts to be evaluated in the hybrid transmission durability test is in the high-cycle fatigue area range, and the slope of the linear part in the high-cycle fatigue area is taken as the fatigue damage index.

[0078] Third, when the part to be evaluated is a bearing, the life index m of the bearing can be determined by the bearing model. Among them, the life index m of the ball bearing = 3, and the life index m of the roller bearing = 10 / 3.

[0079] It should be noted that for a tested specimen with a determined structure and working load form, the weakest dangerous section can be determined through simulation calculation or destructive static strength test, and when the working load is X, there is a determined linear proportional relationship between the working stress σ of the dangerous section determined by its structure and X: σ = K * X, and the coefficient K is a constant determined by simulation or test. Therefore, for the parts to be evaluated, the working stress corresponding to its dangerous section can be obtained through its working load. (When the calculation does not involve specific stress requirements,) in this method, this working load X is used as the generalized stress.

[0080] In the solution provided by this application, different calculation and processing methods are selected for each different assessment part. The Goodman curve is used to convert non-alternating cyclic loads into alternating loads that can meet the application of the S-N curve calculation. Combining the Basquin equation and the linear fatigue cumulative damage theory, a monitoring method for the fatigue damage life value of the test conditions of the gear and the shaft is obtained. For the bearing, a monitoring method for the fatigue damage life value of the bearing is obtained by using the bearing life calculation formula. Among them, the function of the load counting algorithm is to convert the fatigue life calculation parameters of the assessment parts in the above steps into cyclic loads that can cause fatigue damage.

[0081] In a possible implementation manner, determining the cumulative fatigue damage life corresponding to the assessment part based on the load counting algorithm, fatigue life calculation parameters, and fatigue damage index corresponding to the assessment part includes:

[0082] When the assessment part is the shaft, the load on the shaft is converted into a non-alternating cyclic load that can be used to calculate fatigue damage based on the rainflow counting algorithm and the torque value of the shaft; based on the Goodman curve, the non-alternating cyclic load is converted into an alternating torque value that can meet the application of the S-N curve calculation; combining the alternating torque value, the Basquin equation, and the linear fatigue cumulative damage theory, the fatigue damage life value of the shaft is determined.

[0083] The shaft uses Figure 3 the rainflow counting algorithm shown to obtain the cyclic torque value in real time. Figure 3 The following is a schematic diagram of the application of the rainflow counting algorithm provided by the embodiment of this application: The torque value of the shaft obtained in the previous step is processed by the rainflow algorithm to obtain a load cycle. Each load cycle continuously changes from the initial load T1 to the end load T2, and then continuously changes from the end load T2 to the initial load T1, forming a closed cycle with peak and valley values of T1 and T2 respectively. If T1 and T2 are equal in value and opposite in direction, that is, T1 = -T2, it is called an alternating cyclic load. When T1 and T2 do not meet the condition of being equal in value and opposite in direction, it is called a non-alternating cyclic load. In order to enable the load cycle obtained by the rainflow algorithm to calculate the life with reference to the S-N curve, it is necessary to use the Goodman curve to convert the load cycle into an alternating load T-1 = (T a *x i ) / (x i -T m ) for fatigue cumulative damage life calculation. In the formula, T m is the mean value of the load cycle torque obtained by the rainflow algorithm, and its calculation method is T m = (T1 + T2) / 2; T a is the cyclic torque amplitude, and its calculation method is T m = |T1 - T2| / 2; x i is the static torque limit.

[0084] According to the Basquin equation and the linear fatigue cumulative damage theory, the cumulative fatigue damage life of the shaft can be obtained as follows: p is the fatigue damage index of the shaft determined in the above steps.

[0085] In a possible implementation manner, determining the cumulative fatigue damage life corresponding to the test part based on the load counting algorithm, fatigue life calculation parameters, and fatigue damage index corresponding to the test part includes:

[0086] When the test part is a gear, based on the rotary rainflow algorithm, the generalized stress value of the gear, and the rotational speed value of the gear, the random loads on the shaft and the gear are converted into non-alternating cyclic loads that can be used to calculate fatigue damage; based on the Goodman curve, the non-alternating cyclic loads are converted into alternating generalized stress values that can meet the application of the S-N curve calculation; combining the Basquin equation and the linear fatigue cumulative damage theory, the fatigue damage life value of the gear is determined. The S-N curve is a curve with the fatigue strength of the material standard specimen as the ordinate and the logarithm of the fatigue life lgN as the abscissa, which represents the relationship between the fatigue strength and the fatigue life of the standard specimen under a certain cyclic characteristic, also known as the stress-life curve. The Basquin equation is an empirical formula used to describe the fatigue life of materials. This equation expresses the relationship between the fatigue life of materials and the stress amplitude, usually represented as an S-N curve. The form of the Basquin equation is: N = f(S), where N represents the fatigue life and S represents the stress amplitude, which can be used to predict the fatigue life of materials under different stress levels.

[0087] Gear usage Figure 4 The cyclic generalized stress value is obtained in real time using the rotary rainflow counting algorithm shown Figure 4 The following is a schematic diagram of the application of the rotary rainflow counting algorithm provided by the embodiment of the present application: Resample and integrate the gear rotational speed and generalized stress value obtained in step 4, and mark the corresponding generalized stress σ0 when the gear rotates one full circle. According to the force principle during the gear transmission meshing process, the load cycle of the gear consists of continuously changing from the initial load 0 to the end load σ0, and then continuously changing from σ0 to 0.

[0088] The alternating generalized stress value for calculating the gear fatigue damage life is obtained using the Goodman curve: σ -1 =(σ a *y i ) / (y i -σ m ), where the mean value of the cyclic generalized stress of the gear σ m is the same as the generalized stress amplitude σ a , that is, σ a =σ m= σ0 / 2; yi is the generalized stress limit of the gear. The real-time torque on the shaft where the bearing is used is used as the generalized load on the bearing: P r = z, where z is the torque on the shaft where the bearing is located. Among them, the Goodman curve refers to the relationship curve between the mean stress and the maximum stress and the minimum stress of a part under alternating stress under the condition of equal life (equal number of breaking cycles). Alternating stress, also known as cyclic stress and repeated stress, is a stress that changes periodically with time.

[0089] The alternating generalized stress value for calculating the fatigue damage life of the gear is obtained using the Goodman curve: σ -1 =(σ a * y i ) / (y i - σ m ), where the mean value σ m of the cyclic generalized stress of the gear and the generalized stress amplitude σ a are the same, that is, σ a = σ m = σ0 / 2. The cumulative fatigue damage life of the gear is: q is the fatigue damage index of the gear obtained in the above steps, and y i is the generalized stress limit of the gear.

[0090] In a possible implementation, determining the cumulative fatigue damage life corresponding to the test part based on the load counting algorithm, fatigue life calculation parameters, and fatigue damage index corresponding to the test part includes:

[0091] When the test part is a bearing, based on the bearing life calculation formula and the generalized equivalent dynamic load of the bearing, calculate and determine the bearing fatigue damage life value.

[0092] The real-time torque on the shaft where the bearing is used is used as the generalized load on the bearing: P r = z, where z is the torque on the shaft where the bearing is located. The cumulative fatigue damage life of the bearing is: Pr is the generalized load on the bearing, and m is the life index of the bearing obtained in the above steps.

[0093] Step S105: Compare the current cumulative fatigue damage life of the test part with the cumulative fatigue life of the test part under the target test condition to obtain the test progress.

[0094] In a possible implementation, the comparing the current cumulative fatigue damage life of the test part with the cumulative fatigue life of the test part under the target test condition to obtain the test progress includes:

[0095] In response to the target assessment condition being a sub-condition included in the complete assessment condition, and the assessment part being the first part, obtain the first fatigue cumulative life of the first part under the sub-condition, and the first current fatigue damage cumulative life of the first part at the current moment, where the first part is at least one of a shaft, a gear, and a bearing;

[0096] Divide the first current fatigue damage cumulative life of the first part by the first fatigue cumulative life to obtain the test progress.

[0097] In an actual hybrid transmission bench test, the complete assessment condition is composed of a variety of different sub-conditions. For example Figure 5 as shown Figure 5 is a schematic diagram of the assessment condition process provided by an embodiment of the present application. According to different combinations and levels, a large cycle condition G with different levels of sub-conditions is formed. This combination G is the top-level cycle condition, and the complete assessment condition is composed of N G large cycle conditions G; n is the basic sub-condition in G, and the large cycle condition G is composed of N n basic sub-conditions n.

[0098] Based on the fatigue damage life monitoring method proposed in the above steps, the fatigue damage cumulative life d of the assessment part from the start of the test to any moment can be obtained ij , and the fatigue damage cumulative life D of the assessment part under the complete assessment condition ij , where i is the number of the assessment part, and j is one of three different calculation methods for the fatigue damage cumulative life of the shaft, gear, and bearing. By calculating the value of P = d ij / D ij , the bench test progress at this time can be monitored quickly and accurately.

[0099] According to the different types of assessment parts, different calculation methods for the fatigue damage cumulative life are used. During the process from the start of the test to any moment, the fatigue damage cumulative life of the assessment part is d ij ={d a , d g , d b}. In an actual application scenario, it can be used to represent the selection process of the first part. When j is 1, it means the assessment part is a shaft, and its fatigue damage cumulative life d i1 =d a ; when j is 2, it means the assessment part is a gear, and its fatigue damage cumulative life d i1 =d g ; when j is 3, it means the assessment part is a bearing, and its fatigue damage cumulative life d i3 =d b . Correspondingly, the situations of j = 1 and j = 2 can also be obtained simultaneously, that is, the fatigue damage cumulative lives of the shaft and the gear are obtained.

[0100] Similarly, from the start of the test until the first major cycle condition G is completed normally without interruption, the cumulative fatigue damage life value of the parts under test is defined as Δ at this time. Among them, the calculation method of Δ is the same as that of d ij and the specific value of Δ is the calculated value of d when the first major cycle condition G is completed normally without interruption. Since the complete test condition consists of N ij major cycle conditions G, the cumulative fatigue life of any part under test in the complete condition is D G = N ij *Δ. G *Δ.

[0101] In a normal bench test, by monitoring the cumulative fatigue damage life Δ of the first major cycle condition G that is normal and uninterrupted, and obtaining the target number N G of the major cycle condition G in this complete test condition, the damage progress P ij of each part under any sub-condition from the start of the test can be obtained, where P ij = d ij / D ij . When P

[0102] = 100% (or 1), the assessment of the calculation object is completed.

[0103] In summary, the solution provided by this application can comprehensively consider the effects of the transmission and load models of key components and the load spectra of each key component when calculating the remaining fatigue life of the parts in the hybrid transmission test, making the test progress status of each key component calculated more in line with the actual situation of the current hybrid transmission test and improving the accuracy of monitoring the test progress of the hybrid transmission. Figure 6 The above are some specific implementation methods of the test progress monitoring method provided by the embodiments of this application. Based on this, this application also provides a corresponding system for test progress monitoring. The system provided by the embodiments of this application will be introduced from the perspective of functional modularization below.

[0104] The system includes:

[0105] An acquisition unit 110, configured to acquire the state information corresponding to the engine, the drive motor, and the clutch respectively;

[0106] A motion information determination unit 111, configured to input the acquired state information into an analysis model to obtain the motion information corresponding to the parts under test. The parts under test are the parts used to ensure the normal operation of the hybrid transmission test, and the analysis model is trained based on the power transmission path, the position of the parts under test, and the gear ratio of the gearshift, and the analysis accuracy rate reaches a preset accurate threshold;

[0107] A fatigue life calculation parameter determination unit 112, configured to determine fatigue life calculation parameters of a component under assessment based on the motion information output by the analysis model;

[0108] A fatigue damage cumulative life determination unit 113, configured to determine the fatigue damage cumulative life corresponding to the component under assessment based on the load counting algorithm, fatigue life calculation parameters, and fatigue damage index corresponding to the component under assessment;

[0109] A test progress determination unit 114, configured to obtain a test progress by comparing the current fatigue damage cumulative life of the component under assessment with the fatigue cumulative life of the component under assessment under a target assessment working condition.

[0110] Optionally, the method for constructing the analysis model includes:

[0111] Determine a power transmission path according to the operating states of the component under assessment and the hybrid transmission working conditions, arrange the component under assessment at a corresponding preset position based on the power transmission path, and perform training in combination with the gear transmission ratio and the moment of inertia to obtain an analysis model with an accuracy reaching a preset accuracy threshold.

[0112] Optionally, the fatigue life calculation parameter determination unit is specifically configured to:

[0113] Determine the torque value on the shaft where the gear is located as the generalized stress value of the gear, and determine the torque value on the shaft where the bearing is located as the generalized equivalent dynamic load of the bearing.

[0114] Optionally, the fatigue damage cumulative life determination unit is specifically configured to:

[0115] When the component under assessment is a shaft, convert the load on the shaft into a non-alternating cyclic load that can be used to calculate fatigue damage based on the rainflow counting algorithm and the torque value of the shaft;

[0116] Based on the Goodman curve, convert the non-alternating cyclic load into an alternating torque value that can satisfy the application of the stress-life curve calculation;

[0117] Based on the alternating torque value, the Basquin equation, and the fatigue damage index of the shaft, determine the fatigue damage life value of the shaft.

[0118] Optionally, the fatigue damage cumulative life determination unit is specifically configured to:

[0119] When the component under assessment is a gear, convert the random loads on the shaft and the gear into a non-alternating cyclic load that can be used to calculate fatigue damage based on the rotary rainflow algorithm, the generalized stress value of the gear, and the rotational speed value of the gear;

[0120] Based on the Goodman curve, convert the non-alternating cyclic load into an alternating generalized stress value that can satisfy the calculation of the applied stress-life curve.

[0121] Based on the Basquin equation and the fatigue damage index of the gear, determine the numerical value of the fatigue damage life of the gear.

[0122] Optionally, the fatigue damage cumulative life determination unit is specifically configured to:

[0123] When the component to be inspected is a bearing, based on the bearing life calculation formula, the generalized equivalent dynamic load of the bearing, and the life index of the bearing, calculate and determine the numerical value of the fatigue damage life of the bearing.

[0124] Optionally, the test progress determination unit is specifically configured to:

[0125] In response to the target inspection condition being a sub-condition included in the complete inspection condition, and the component to be inspected being the first component, obtain the first fatigue cumulative life of the first component under the sub-condition, and the first current fatigue damage cumulative life of the first component at the current moment, where the first component is at least one of a shaft, a gear, and a bearing;

[0126] Calculate the ratio of the first current fatigue damage cumulative life of the first component to the first fatigue cumulative life to obtain the test progress.

[0127] The embodiments of the present application also provide corresponding devices and computer storage media for implementing the solutions provided by the embodiments of the present application.

[0128] As Figure 7 shown, the computer device 01 is presented in the form of a general computing device. The components of the computer device 01 may include, but are not limited to: one or more processors or processing units 03, a system memory 08, and a bus 04 connecting different system components (including the system memory 08 and the processing unit 03).

[0129] The bus 04 represents one or more of several types of bus structures, including a memory bus or a memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the multiple bus structures. For example, these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0130] The computer device 01 typically includes a variety of computer system-readable media. These media can be any available media that can be accessed by the computer device 01, including volatile and non-volatile media, removable and non-removable media.

[0131] System memory 08 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 09 and / or cache memory 10. The computer device 01 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 11 may be used for reading and writing on non-removable, non-volatile magnetic media ( Figure 7 not shown, commonly referred to as a "hard disk drive"). Although Figure 7 not shown in, a disk drive for reading and writing on removable non-volatile disks (such as "floppy disks"), and an optical disk drive for reading and writing on removable non-volatile optical disks (such as CD-ROM, DVD-ROM or other optical media) may be provided. In these cases, each drive may be connected to the bus 04 through one or more data media interfaces. The memory 08 may include at least one program product having a set (such as at least one) of program modules configured to perform the functions of the embodiments of the present application.

[0132] A program / utility 12 having a set (at least one) of program modules 13 may be stored, for example, in the memory 08. Such program modules 13 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. The program modules 13 generally perform the functions and / or methods in the embodiments described in the present application.

[0133] The computer device 01 may also communicate with one or more external devices 02 (such as a keyboard, a pointing device, a display 07, etc.), and may also communicate with one or more devices that enable a user to interact with the computer device 01, and / or communicate with any device that enables the computer device 01 to communicate with one or more other computing devices (such as a network card, a modem, etc.). Such communication may be carried out through the input / output (I / O) interface 06. And, the computer device 01 may also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through the network adapter 05. As Figure 7 shown, the network adapter 05 communicates with other modules of the computer device 01 through the bus 04. It should be understood that although Figure 7 not shown in, other hardware and / or software modules may be used in conjunction with the computer device 01, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0134] The processor unit 03 executes various functional applications and data processing by running the programs stored in the system memory 08, such as implementing a front-end button permission control method provided in the embodiments of the present application.

[0135] From the description of the above embodiments, those skilled in the art can clearly understand that all or part of the steps in the above embodiment methods can be implemented by means of software plus a general hardware platform. Based on such an understanding, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a storage medium, such as a read-only memory (ROM) / RAM, magnetic disk, optical disk, etc., including several instructions for causing a computer device (which can be a personal computer, a server, or a network communication device such as a router) to execute the methods described in various embodiments or some parts of the embodiments of the present application.

[0136] It should be noted that, in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including the said element.

[0137] It should also be noted that the embodiments in this specification are all described in a progressive manner. The same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and apparatus embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiments. The device and apparatus embodiments described above are only illustrative. The units described as separate components may or may not be physically separated, and the components referred to as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative effort.

[0138] As described above, it is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed by the present application should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for monitoring the progress of an experiment, characterized in that, Including: Obtain the status information corresponding to the engine, drive motor, and clutch respectively; Input the obtained status information into the analysis model to obtain the motion information of the parts to be evaluated. The parts to be evaluated are the parts used to ensure the normal operation of the hybrid transmission test. The motion information is used to characterize the operation of the parts to be evaluated. The analysis model is trained based on the power transmission path, the position of the parts to be evaluated, and the gear ratio, and the analysis accuracy reaches the preset accurate threshold; Based on the motion information output by the analysis model, determine the fatigue life calculation parameters of the parts to be evaluated; Based on the load counting algorithm, fatigue life calculation parameters, and fatigue damage index corresponding to the parts to be evaluated, determine the cumulative fatigue damage life corresponding to the parts to be evaluated; Compare the current cumulative fatigue damage life of the parts to be evaluated with the cumulative fatigue life of the parts to be evaluated under the target evaluation working conditions to obtain the test progress.

2. The method according to claim 1, wherein The construction method of the analysis model includes: Determine the power transmission path according to the operating status of the parts to be evaluated and the hybrid transmission working conditions. Arrange the parts to be evaluated at the corresponding preset positions based on the power transmission path, and perform training in combination with the gear ratio and moment of inertia to obtain an analysis model with an accuracy reaching the preset accurate threshold.

3. The method according to claim 1, wherein The parts to be evaluated include shafts, gears, and bearings. Based on the motion information output by the analysis model, determining the fatigue life calculation parameters of the parts to be evaluated includes: Determine the generalized stress value of the gear as the torque value on the shaft where the gear is located, and determine the generalized equivalent dynamic load of the bearing as the torque value on the shaft where the bearing is located.

4. The method according to claim 3, characterized in that, The fatigue life calculation parameters include the torque value of the shaft. Based on the load counting algorithm, fatigue life calculation parameters, and fatigue damage index corresponding to the parts to be evaluated, determining the cumulative fatigue damage life corresponding to the parts to be evaluated includes: When the part to be evaluated is a shaft, based on the rain flow counting algorithm and the torque value of the shaft, convert the load on the shaft into a non-alternating cyclic load that can be used to calculate fatigue damage; Based on the Goodman curve, convert the non-alternating cyclic load into an alternating torque value that can satisfy the application of the stress-life curve calculation; Based on the alternating torque value, the Basquin equation, and the fatigue damage index of the shaft, determine the fatigue damage life value of the shaft.

5. The method according to claim 3, characterized in that, Based on the load counting algorithm, fatigue life calculation parameters, and fatigue damage index corresponding to the parts to be evaluated, determining the cumulative fatigue damage life corresponding to the parts to be evaluated includes: When the part to be evaluated is a gear, based on the rotating rain flow algorithm, the generalized stress value of the gear, and the rotational speed value of the gear, convert the random load on the shaft and the gear into a non-alternating cyclic load that can be used to calculate fatigue damage; Based on the Goodman curve, convert the non-alternating cyclic load into an alternating generalized stress value that can satisfy the application of the stress-life curve calculation; Based on the Basquin equation and the fatigue damage index of the gear, determine the fatigue damage life value of the gear.

6. The method according to claim 3, wherein Based on the load counting algorithm, fatigue life calculation parameters, and fatigue damage index corresponding to the parts to be evaluated, determining the cumulative fatigue damage life corresponding to the parts to be evaluated includes: When the component under assessment is a bearing, based on the bearing life calculation formula, the generalized equivalent dynamic load of the bearing, and the bearing life index, calculate and determine the numerical value of the bearing fatigue damage life.

7. The method according to claim 1, wherein The comparison between the current cumulative fatigue damage life of the component under assessment and the cumulative fatigue life of the component under assessment under the target assessment condition to obtain the test progress includes: In response to the target assessment condition being a sub-condition included in the complete assessment condition, and the component under assessment being the first component, obtain the first cumulative fatigue life of the first component under the sub-condition, and the first current cumulative fatigue damage life of the first component at the current moment. The first component is at least one of a shaft, a gear, and a bearing; Compare the first current cumulative fatigue damage life of the first component with the first cumulative fatigue life to obtain the test progress.

8. An experimental progress monitoring system, characterized in that, The system includes: An acquisition unit for acquiring the state information corresponding to the engine, the drive motor, and the clutch respectively; A motion information determination unit for inputting the acquired state information into an analysis model to obtain the motion information corresponding to the component under assessment. The component under assessment is a component for ensuring the normal operation of the hybrid transmission test. The analysis model is trained based on the power transmission path, the position of the component under assessment, and the gear ratio, and the obtained analysis accuracy reaches a preset precision threshold; A fatigue life calculation parameter determination unit for determining the fatigue life calculation parameters of the component under assessment based on the motion information output by the analysis model; A cumulative fatigue damage life determination unit for determining the cumulative fatigue damage life corresponding to the component under assessment based on the load counting algorithm, the fatigue life calculation parameters, and the fatigue damage index corresponding to the component under assessment; A test progress determination unit for comparing the current cumulative fatigue damage life of the component under assessment with the cumulative fatigue life of the component under assessment under the target assessment condition to obtain the test progress.

9. An electronic device, characterized in that, Includes: A memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, it implements the test progress monitoring method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, Instructions are stored in the computer-readable storage medium. When the instructions run on the terminal device, the terminal device is caused to execute the test progress monitoring method according to any one of claims 1-7.

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