A clutch health online evaluation method, system, device and medium

Abstract

The present application belongs to the technical field of clutch monitoring, and specifically provides a clutch health degree online evaluation method, system, device and medium, the method comprising the following steps: step 1: monitoring the data of key parameters of the clutch, the key parameters including friction plate roughness, pressure plate compression force, pressure plate lift, and separation bearing sound; step 2: obtaining the health range of each key parameter of the clutch; step 3: calculating the health degree of each key parameter at time t according to the health range of the key parameters combined with the monitored data of each key parameter; step 4: calculating the health degree of the clutch at time t according to the health degree of each key parameter at time t; and step 5: feeding back the calculated health state of the clutch to an instrument in real time for display. Abnormal changes in parameters can be found, early warnings can be issued in time, and the important data reference for clutch maintenance can be provided, and damaged parts can be accurately found.

Description

Technical Field

[0001] This invention relates to the field of clutch monitoring technology, specifically to an online method, system, device, and medium for evaluating clutch health. Background Technology

[0002] The clutch, located between the engine and the transmission, mainly consists of a pressure plate, a driven plate (friction disc), and a release bearing. With the continuous increase in engine torque, especially in commercial vehicles, the clutch has become the weakest link in the vehicle's powertrain. Currently, clutch replacement often occurs after a vehicle malfunction. Sudden clutch failure leading to vehicle downtime not only causes economic losses but can even threaten the driver's life.

[0003] Current technologies typically estimate the remaining lifespan of a clutch by obtaining its initial and worn positions, combined with the vehicle's mileage. However, this method relies on overly idealized conditions. It fails to account for changes in clutch engagement and disengagement frequencies caused by altered vehicle operating conditions (the partial engagement phase is a major cause of clutch failure), and it also neglects other causes of clutch failure besides friction plate wear, such as friction plate erosion, pressure plate failure, and release bearing malfunction.

[0004] Therefore, it is essential to provide a comprehensive online assessment method and system for clutch health, which can promptly issue early warnings of clutch failure and remind users to replace the clutch in a timely manner. Summary of the Invention

[0005] This invention aims to solve the problem of unpredictable clutch failure, and proposes an online clutch health assessment method, system, device and medium to monitor and provide feedback on the clutch health status in real time, issue early warnings for clutch failure, and remind the driver to replace the clutch in a timely manner.

[0006] In a first aspect, the present invention provides an online method for evaluating the health of a clutch, comprising the following steps:

[0007] Data on key clutch parameters are monitored, including friction plate roughness, pressure plate clamping force, pressure plate lift, and release bearing noise.

[0008] Obtain the healthy range of each key parameter of the clutch;

[0009] The health status of each key parameter at time t is calculated based on the health range of the key parameters and the data of each key parameter being monitored.

[0010] Calculate the health status of the clutch at time t based on the health status of each key parameter at time t.

[0011] The calculated health status of the clutch is fed back to the instrument panel for display in real time.

[0012] As a further limitation of the technical solution of the present invention, the steps for obtaining the healthy range of each key parameter of the clutch include:

[0013] Obtain the healthy range of each key parameter of the clutch;

[0014] The failure threshold of each key parameter is determined based on the attributes of each key parameter and the limit of the health range; among them, the failure threshold of friction plate roughness, pressure plate clamping force, and pressure plate lift are the lower limit of the corresponding health range, and the failure threshold of release bearing sound is the upper limit of the health range of release bearing sound.

[0015] As a further limitation of the technical solution of the present invention, the step of calculating the health status of each key parameter at time t based on the health range of the key parameters and the monitored data of each key parameter includes:

[0016] The data of each key parameter monitored are compared with the corresponding failure point thresholds;

[0017] Determine if any key parameter data has reached the corresponding failure point threshold;

[0018] If so, determine that the clutch has malfunctioned and output an abnormal warning message through the instrument panel;

[0019] If not, proceed as follows: Calculate the health status of each key parameter at time t based on the health range of the key parameters and the data of each key parameter being monitored.

[0020] As a further limitation of the technical solution of the present invention, the step of calculating the health status of each key parameter at time t based on the health range of the key parameters and the monitored data of each key parameter includes:

[0021] The health status J of the friction plate roughness at time t 粗糙度 =(Y t粗糙度 -Y 粗糙度min ) / Y 粗糙度健康范围 ;

[0022] Health status J of the pressure plate lift at time t 升程 =(Y t升程 -Y 升程min ) / Y 升程健康范围 ;

[0023] The sound health of the release bearing at time t J 声音 =(Y 声音max -Y t声音 ) / Y 声音健康范围 ;

[0024] Health of the pressure plate clamping force at time t / period:

[0025]

[0026] Where 0 < μ < 1, and when the curve is parabolic, μ = 1 / 2.

[0027] As a further limitation of the technical solution of the present invention, the step of calculating the health status of the clutch at time t based on the health status of each key parameter at time t includes:

[0028] The weights of each key parameter are set according to the time sequence of clutch failure caused by the failure of the corresponding component.

[0029] The health of the clutch at time t is calculated based on the health status of each key parameter at time t and their corresponding weights; J 离合器 =J 粗糙度 ×i 粗糙度 +J 压紧力 ×i 压紧力 +J 升程 ×i 升程 +J 声音 ×i 声音 ;

[0030] Among them, i 粗糙度 i 压紧力 i 升程 i 声音 The weights are assigned to the roughness of the friction plate, the clamping force of the pressure plate, the lift of the pressure plate, and the sound quality of the release bearing.

[0031] As a further limitation of the technical solution of the present invention, after the step of calculating the health status of each key parameter at time t based on the health range of the key parameters and the monitored data of each key parameter, the following steps are included:

[0032] When an abnormal change occurs due to a sudden change in the calculated health status of each key parameter, an abnormal replacement warning is output.

[0033] The health status of each key parameter is classified into different levels based on the calculation.

[0034] A failure replacement warning is issued when the health level of any parameter reaches the highest level.

[0035] As a further limitation of the technical solution of the present invention, the step of feeding back the calculated health status of the clutch to the instrument for display in real time includes:

[0036] The calculated clutch health status, abnormal replacement warning, and failure replacement warning are fed back to the instrument panel for display in real time.

[0037] Secondly, the technical solution of the present invention provides an online clutch health evaluation system, including a data monitoring module, a data storage module, a data analysis and processing module, and an output module;

[0038] The data monitoring module is used to monitor data of key clutch parameters, including friction plate roughness, pressure plate clamping force, pressure plate lift, and release bearing noise.

[0039] The data storage module is used to store the healthy range of various key parameters of the clutch;

[0040] The data analysis and processing module is used to calculate the health status of each key parameter at time t based on the health range of the key parameters and the data of each key parameter being monitored; and to calculate the health status of the clutch at time t based on the health status of each key parameter at time t.

[0041] The output module is used to feed back the calculated health status of the clutch to the instrument for display in real time.

[0042] As a further limitation of the technical solution of the present invention, the device also includes a data acquisition module, used to acquire the health range of each key parameter of the clutch; determine the failure point threshold of each key parameter based on the attributes of each key parameter and the limit of the health range; wherein, the failure point threshold of friction plate roughness, pressure plate clamping force, and pressure plate lift are the lower limit of the corresponding health range, and the failure point threshold of release bearing sound is the upper limit of the health range of release bearing sound; and write the acquired and confirmed data into the data storage module.

[0043] As a further limitation of the technical solution of the present invention, the device also includes an anomaly judgment module, which is used to compare the monitored key parameter data with the corresponding failure point threshold; determine whether the data of the key parameter reaches the corresponding failure point threshold; if so, determine that the clutch has failed abnormally and output an anomaly prompt message through the instrument; if not, trigger the data analysis and processing module to calculate the health of each key parameter at time t based on the health range of the key parameter and the monitored data of each key parameter.

[0044] As a further limitation of the technical solution of the present invention, the data analysis and processing module calculates the health status of each key parameter using the following formula;

[0045] The health status J of the friction plate roughness at time t 粗糙度 =(Y t粗糙度 -Y 粗糙度min ) / Y 粗糙度健康范围 ;

[0046] Health status J of the pressure plate lift at time t 升程 =(Y t升程 -Y 升程min ) / Y 升程健康范围 ;

[0047] The sound health of the release bearing at time t J 声音 =(Y 声音max -Y t声音 ) / Y 声音健康范围 ;

[0048] Health of the pressure plate clamping force at time t / period:

[0049]

[0050] Where 0 < μ < 1, and when the curve is parabolic, μ = 1 / 2.

[0051] As a further limitation of the technical solution of the present invention, the data analysis and processing module is specifically used to set the weight of each key parameter according to the time sequence of clutch failure caused by the failure of the corresponding component; and to calculate the health status of the clutch at time t based on the health status of each key parameter at time t and its corresponding weight. 离合器 =J 粗糙度 ×i 粗糙度 +J 压紧力 ×i 压紧力 +J 升程 ×i 升程 +J 声音 ×i 声音 ; where i 粗糙度 i 压紧力 i 升程 i 声音 The weights are assigned to the roughness of the friction plate, the clamping force of the pressure plate, the lift of the pressure plate, and the sound quality of the release bearing.

[0052] As a further limitation of the technical solution of the present invention, the device also includes a calculation result processing module, which is used to output an abnormal replacement warning when there is an abnormal change in the parameter sudden change based on the calculated health status of each key parameter; classify the calculated health status of each key parameter into levels; and issue a failure replacement warning when the health status of any parameter reaches the highest level.

[0053] As a further limitation of the technical solution of the present invention, the output module is specifically used to feed back the calculated clutch health status, abnormal replacement warning, and failure replacement warning to the instrument for display in real time.

[0054] Obtain the initial values ​​X0 of each parameter as one of the inputs to the system threshold; based on the performance requirements of the clutch components, obtain the lower limit values ​​Y of the friction plate roughness, pressure plate clamping force, and pressure plate lift failure point. min Upper limit value Y of the sound failure point of the release bearing max ; Obtain another limit value based on the inherent characteristics of the components, and calculate the healthy range Y of each parameter value respectively. 健康范围; Calculate the health status of components: J X =∣Y t -Y 极限值 | / Y 健康范围 Furthermore, by combining the weighting coefficients of different components, the overall health status of the clutch is obtained. This invention enables online clutch health assessment, providing drivers with intuitive clutch health information, avoiding vehicle breakdowns caused by sudden clutch failures, and serving as an important data reference for clutch maintenance, accurately identifying damaged components.

[0055] Thirdly, the present invention provides an electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; the memory storing computer program instructions executable by the at least one processor, the computer program instructions being executed by the at least one processor to enable the at least one processor to perform the online clutch health assessment method as described in the first aspect.

[0056] Fourthly, the present invention provides a non-transitory computer-readable storage medium that stores computer instructions that cause the computer to execute the online clutch health assessment method as described in the first aspect.

[0057] As can be seen from the above technical solutions, the present invention has the following advantages: it realizes comprehensive and accurate monitoring of clutch health, provides drivers with intuitive clutch health information, enables the predictability of clutch failure, and facilitates drivers in formulating clutch replacement plans; at the same time, it can detect abnormal changes in parameters, issue timely warnings, and serve as an important data reference during clutch maintenance, accurately identifying damaged parts.

[0058] Furthermore, the design principle of this invention is reliable, the structure is simple, and it has a very wide range of application prospects.

[0059] Therefore, it is evident that the present invention has outstanding substantive features and significant progress compared with the prior art, and the beneficial effects of its implementation are also obvious. Attached Figure Description

[0060] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0061] Figure 1 This is a schematic flowchart of a method according to an embodiment of the present invention.

[0062] Figure 2 This is a schematic block diagram of an apparatus according to an embodiment of the present invention. Detailed Implementation

[0063] To enable those skilled in the art to better understand the technical solutions of this invention, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this invention.

[0064] like Figure 1 As shown in the figure, this embodiment of the invention provides an online method for evaluating the health of a clutch, including the following steps:

[0065] Step 1: Monitor the data of key clutch parameters, including friction plate roughness, pressure plate clamping force, pressure plate lift, and release bearing noise;

[0066] By combining different components of the clutch, analyzing the root cause of clutch failure, and identifying its core key parameters, we can draw the following conclusions:

[0067] 1. Friction plate ablation can be monitored, and key parameters such as friction plate roughness can be identified.

[0068] 2. As the friction pads wear and thin, key parameters can be monitored, such as the pressure plate clamping force.

[0069] 3. If the pressure plate fails, monitor the key parameter: pressure plate lift.

[0070] 4. For release bearing failure, key parameters can be monitored: release bearing sound.

[0071] Based on this, the above four parameters were selected for online evaluation and feedback of clutch health.

[0072] Step 2: Obtain the healthy range of each key parameter of the clutch;

[0073] The value Y of parameter X (friction plate roughness, pressure plate clamping force, pressure plate lift, release bearing noise) is an inherent property of the clutch, and it has a healthy range Y. 健康范围 :(Y min Y max );

[0074] In the early stages, tests were conducted to obtain the upper limit values ​​Y for friction plate roughness, pressure plate clamping force, pressure plate lift, and release bearing noise for all clutch models. max With lower limit value Y min and Y 健康范围 :(Y minY max This data, used as the basis for system calculation and judgment, is stored in the data storage module of the vehicle equipped with the corresponding clutch model. In this invention, the health range value stored in the data storage module is directly obtained.

[0075] The laser roughness monitoring device is installed on the driven disc (friction plate) mounting surface and the pressure plate surface of the flywheel housing. The pressure plate pressure sensor is installed on the pressure plate surface, the pressure plate displacement sensor is installed on the side of the pressure plate, and the sound sensor is installed on the outer circular surface of the release bearing.

[0076] The roughness of the friction plate is detected by a laser roughness detection device at a certain frequency, the pressure sensor detects the clamping force of the pressure plate, the displacement sensor detects the lift of the pressure plate, and the sound sensor detects the sound of the release bearing.

[0077] The failure threshold of each key parameter is determined based on the attributes of each key parameter and the limit of the health range; among them, the failure threshold of friction plate roughness, pressure plate clamping force, and pressure plate lift are the lower limit of the corresponding health range, and the failure threshold of release bearing sound is the upper limit of the health range of release bearing sound.

[0078] Step 3: Calculate the health status of each key parameter at time t based on the health range of the key parameters and the data of each key parameter being monitored;

[0079] The health status J of the friction plate roughness at time t 粗糙度 =(Y t粗糙度 -Y 粗糙度min ) / Y 粗糙度健康范围 ;

[0080] Health status J of the pressure plate lift at time t 升程 =(Y t升程 -Y 升程min ) / Y 升程健康范围 ;

[0081] The sound health of the release bearing at time t J 声音 =(Y 声音max -Y t声音 ) / Y 声音健康范围 ;

[0082] Health of the pressure plate clamping force at time t / period:

[0083]

[0084] Where 0 < μ < 1, and when the curve is parabolic, μ = 1 / 2.

[0085] Step 4: Calculate the health status of the clutch at time t based on the health status of each key parameter at time t;

[0086] In this step, the weights of each key parameter are set according to the time sequence of clutch failure caused by the failure of the corresponding component.

[0087] The health of the clutch at time t is calculated based on the health status of each key parameter at time t and their corresponding weights; J 离合器 =J 粗糙度 ×i 粗糙度 +J 压紧力 ×i 压紧力 +J 升程 ×i 升程 +J 声音 ×i 声音 ;

[0088] Among them, i 粗糙度 i 压紧力 i 升程 i 声音 The weights are assigned to the roughness of the friction plate, the clamping force of the pressure plate, the lift of the pressure plate, and the sound quality of the release bearing.

[0089] Step 5: The calculated health status of the clutch is fed back to the instrument panel for display in real time.

[0090] In some embodiments, the step of calculating the health status of each key parameter at time t based on the health range of the key parameters and the monitored data of each key parameter includes:

[0091] The data of each key parameter monitored are compared with the corresponding failure point thresholds;

[0092] Determine if any key parameter data has reached the corresponding failure point threshold;

[0093] If so, determine that the clutch has malfunctioned and output an abnormal warning message through the instrument panel;

[0094] If not, proceed as follows: Calculate the health status of each key parameter at time t based on the health range of the key parameters and the data of each key parameter being monitored.

[0095] In some embodiments, after calculating the health status of each key parameter at time t based on the health range of the key parameters and the monitored data of each key parameter, the following steps are included:

[0096] When an abnormal change occurs due to a sudden change in the calculated health status of each key parameter, an abnormal replacement warning is output.

[0097] The health status of each key parameter is classified into different levels based on the calculation.

[0098] A failure replacement warning is issued when the health level of any parameter reaches the highest level.

[0099] Friction plate erosion and pressure plate failure can quickly cause clutch malfunctions, therefore a higher coefficient can be assigned, such as: J 离合器 =0.3×J 粗糙度 +0.2×J 压紧力 +0.3×J 升程 +0.2×J 声音 ;

[0100] Furthermore, health can be categorized into different levels based on health scores, for example:

[0101] 0.8≤J X ≤1, Health Level 1;

[0102] 0.6≤J X <0.8, Health Level 2;

[0103] 0.4≤J X <0.6, Health Level 3;

[0104] 0.2≤J X <0.4, health level 4;

[0105] 0≤J X <0.2, health level 5;

[0106] Furthermore, based on the monitored and calculated health status, the data is fed back to the instrument screen in real time. When the health status of any parameter reaches level 5, a failure and replacement warning is issued.

[0107] Correspondingly, the steps for feeding back the calculated clutch health status to the instrument panel in real time include: feeding back the calculated clutch health status, abnormal replacement warning, and failure replacement warning to the instrument panel in real time for display.

[0108] like Figure 2 As shown, this embodiment of the invention provides an online clutch health assessment system, including a data monitoring module, a data storage module, a data analysis and processing module, and an output module;

[0109] The data monitoring module is used to monitor data of key clutch parameters, including friction plate roughness, pressure plate clamping force, pressure plate lift, and release bearing noise.

[0110] The data storage module is used to store the healthy range of various key parameters of the clutch;

[0111] The data analysis and processing module is used to calculate the health status of each key parameter at time t based on the health range of the key parameters and the data of each key parameter being monitored; and to calculate the health status of the clutch at time t based on the health status of each key parameter at time t.

[0112] The output module is used to feed back the calculated health status of the clutch to the instrument for display in real time.

[0113] In some embodiments, the device further includes a data acquisition module for acquiring the health range of each key parameter of the clutch; determining the failure threshold of each key parameter based on the attributes of each key parameter and the limit of the health range; wherein the failure threshold of friction plate roughness, pressure plate clamping force, and pressure plate lift are the lower limit of the corresponding health range, and the failure threshold of release bearing sound is the upper limit of the health range of release bearing sound; and writing the acquired and confirmed data into the data storage module.

[0114] In some embodiments, the device further includes an anomaly judgment module, which compares the monitored key parameter data with the corresponding failure point threshold; determines whether the data of any key parameter reaches the corresponding failure point threshold; if so, determines that the clutch has failed abnormally and outputs an anomaly prompt message through the instrument; if not, triggers the data analysis and processing module to calculate the health status of each key parameter at time t based on the health range of the key parameters and the monitored data of each key parameter.

[0115] In some embodiments, the data analysis and processing module calculates the health status of each key parameter using the following formula;

[0116] The health status J of the friction plate roughness at time t 粗糙度 =(Y t粗糙度 -Y 粗糙度min ) / Y 粗糙度健康范围 ;

[0117] Health status J of the pressure plate lift at time t 升程 =(Y t升程 -Y 升程min ) / Y 升程健康范围 ;

[0118] The sound health of the release bearing at time t J 声音 =(Y 声音max -Y t声音 ) / Y 声音健康范围 ;

[0119] Health of the pressure plate clamping force at time t / period:

[0120]

[0121] Where 0 < μ < 1, and when the curve is parabolic, μ = 1 / 2.

[0122] In some embodiments, the data analysis and processing module is further configured to set the weights of each key parameter according to the time sequence of clutch failure caused by the failure of the corresponding component; and to calculate the health status of the clutch at time t based on the health status of each key parameter at time t combined with its corresponding weight. 离合器 =J 粗糙度 ×i 粗糙度 +J 压紧力 ×i 压紧力 +J 升程 ×i 升程 +J 声音 ×i 声音 ; where i 粗糙度 i 压紧力 i 升程 i 声音 The weights are assigned to the roughness of the friction plate, the clamping force of the pressure plate, the lift of the pressure plate, and the sound quality of the release bearing.

[0123] In some embodiments, the device further includes a calculation result processing module, which is used to output an abnormal replacement warning when there is an abnormal change in the parameter based on the calculated health status of each key parameter; classify the calculated health status of each key parameter into levels; and issue a failure replacement warning when the health status of any parameter reaches the highest level.

[0124] Friction plate erosion and pressure plate failure can quickly cause clutch malfunctions, therefore a higher coefficient can be assigned, such as: J 离合器 =0.3×J 粗糙度 +0.2×J 压紧力 +0.3×J 升程 +0.2×J 声音 ;

[0125] Furthermore, health can be categorized into different levels based on health scores, for example:

[0126] 0.8≤J X ≤1, Health Level 1;

[0127] 0.6≤J X <0.8, Health Level 2;

[0128] 0.4≤J X <0.6, Health Level 3;

[0129] 0.2≤J X <0.4, health level 4;

[0130] 0≤J X <0.2, health level 5;

[0131] Furthermore, based on the monitored and calculated health status, the data is fed back to the instrument screen in real time. When the health status of any parameter reaches level 5, a failure and replacement warning is issued.

[0132] Correspondingly, the output module is specifically used to feed back the calculated clutch health status, abnormal replacement warning, and failure replacement warning to the instrument for display in real time.

[0133] This invention also provides an electronic device, comprising: a processor, a communication interface, a memory, and a communication bus, wherein the processor, communication interface, and memory communicate with each other via the communication bus. The communication bus can be used for information transmission between the electronic device and sensors. The processor can call logical instructions in the memory to execute the following method: Step 1: Monitor data of key clutch parameters, including friction plate roughness, pressure plate clamping force, pressure plate lift, and release bearing sound; Step 2: Obtain the health range of each key clutch parameter; Step 3: Calculate the health status of each key parameter at time t based on the health range of the key parameters and the monitored data of each key parameter; Step 4: Calculate the health status of the clutch at time t based on the health status of each key parameter at time t; Step 5: Feed back the calculated health status of the clutch to an instrument for display in real time.

[0134] Furthermore, the logical instructions in the aforementioned memory can be implemented as software functional units and sold or used as independent products, and can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0135] This invention provides a non-transitory computer-readable storage medium storing computer instructions that cause a computer to execute the method provided in the above-described method embodiments. For example, the method includes: Step 1: Monitoring data of key clutch parameters, including friction plate roughness, pressure plate clamping force, pressure plate lift, and release bearing sound; Step 2: Obtaining the health range of each key clutch parameter; Step 3: Calculating the health status of each key parameter at time t based on the health range and the monitored data; Step 4: Calculating the health status of the clutch at time t based on the health status of each key parameter at time t; Step 5: Feeding back the calculated clutch health status to an instrument for real-time display.

[0136] Although the present invention has been described in detail with reference to the accompanying drawings and preferred embodiments, the invention is not limited thereto. Various equivalent modifications or substitutions can be made to the embodiments of the invention by those skilled in the art without departing from the spirit and essence of the invention, and such modifications or substitutions should all be within the scope of the invention. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the invention should also be covered within the protection scope of the invention. Therefore, the protection scope of the invention should be determined by the scope of the claims.

Claims

1. A method for online evaluation of clutch health, characterized in that, The steps include the following: Data on key clutch parameters are monitored, including friction plate roughness, pressure plate clamping force, pressure plate lift, and release bearing noise. Obtain the healthy range of each key parameter of the clutch; The health status of each key parameter at time t is calculated based on the health range of the key parameters and the data of each key parameter being monitored. Calculate the health status of the clutch at time t based on the health status of each key parameter at time t. The calculated health status of the clutch is fed back to the instrument for display in real time; The steps for calculating the health status of each key parameter at time t based on the health range of the key parameters and the monitored data of each key parameter include: The health status of the friction plate roughness at time t is J_roughness = (Y_t roughness - Y_roughness_min) / Y_roughness health range; The health status of the pressure plate lift at time t is J_lift = (Y_t_lift - Y_lift_min) / Y_lift_health range; The sound health of the release bearing at time t is J_sound = (Y_sound_max - Y_t_sound) / Y_sound_healthy_range; Health of the pressure plate clamping force at time t / period: Where 0 < μ < 1, and when the curve is parabolic, μ = 1 / 2; The steps for calculating the clutch health at time t based on the health of each key parameter at time t include: The weights of each key parameter are set according to the time sequence of clutch failure caused by the failure of the corresponding component. The health status of the clutch at time t is calculated based on the health status of each key parameter at time t and the corresponding weights; J clutch = J roughness × i roughness + J clamping force × i clamping force + J lift × i lift + J sound × i sound; Among them, i roughness, i clamping force, i lift, and i sound are the weights of friction plate roughness, pressure plate clamping force, pressure plate lift, and release bearing sound health.

2. The online clutch health assessment method according to claim 1, characterized in that, The steps to obtain the healthy range of key clutch parameters include: Obtain the healthy range of each key parameter of the clutch; The failure threshold of each key parameter is determined based on the attributes of each key parameter and the limit of the health range; among them, the failure threshold of friction plate roughness, pressure plate clamping force, and pressure plate lift are the lower limit of the corresponding health range, and the failure threshold of release bearing sound is the upper limit of the health range of release bearing sound.

3. The online clutch health assessment method according to claim 2, characterized in that, Before calculating the health status of each key parameter at time t based on the health range of the key parameters and the monitored data of each key parameter, the following steps are included: The data of each key parameter monitored are compared with the corresponding failure point thresholds; Determine if any key parameter data has reached the corresponding failure point threshold; If so, determine that the clutch has malfunctioned and output an abnormal warning message through the instrument panel; If not, proceed as follows: Calculate the health status of each key parameter at time t based on the health range of the key parameters and the data of each key parameter being monitored.

4. The online clutch health assessment method according to claim 3, characterized in that, The steps for calculating the health status of each key parameter at time t based on the health range of the key parameters and the monitored data of each key parameter include: When an abnormal change occurs due to a sudden change in the calculated health status of each key parameter, an abnormal replacement warning is output. The health status of each key parameter is classified into different levels based on the calculation. A failure replacement warning is issued when the health level of any parameter reaches the highest level.

5. The online clutch health assessment method according to claim 4, characterized in that, The steps for feeding back the calculated health status of the clutch to the instrument panel for real-time display include: The calculated clutch health status, abnormal replacement warning, and failure replacement warning are fed back to the instrument panel for display in real time.

6. An online clutch health assessment system, characterized in that, It includes a data monitoring module, a data storage module, a data analysis and processing module, and an output module; The data monitoring module is used to monitor data of key clutch parameters, including friction plate roughness, pressure plate clamping force, pressure plate lift, and release bearing noise. The data storage module is used to store the healthy range of various key parameters of the clutch; The data analysis and processing module is used to calculate the health status of each key parameter at time t based on the health range of the key parameters and the data of each key parameter being monitored; and to calculate the health status of the clutch at time t based on the health status of each key parameter at time t. The output module is used to feed back the calculated health status of the clutch to the instrument for display in real time; The steps for calculating the health status of each key parameter at time t based on the health range of the key parameters and the monitored data of each key parameter include: The health status of the friction plate roughness at time t is J_roughness = (Y_t roughness - Y_roughness_min) / Y_roughness health range; The health status of the pressure plate lift at time t is J_lift = (Y_t_lift - Y_lift_min) / Y_lift_health range; The sound health of the release bearing at time t is J_sound = (Y_sound_max - Y_t_sound) / Y_sound_healthy_range; Health of the pressure plate clamping force at time t / period: Where 0 < μ < 1, and when the curve is parabolic, μ = 1 / 2; The steps for calculating the clutch health at time t based on the health of each key parameter at time t include: The weights of each key parameter are set according to the time sequence of clutch failure caused by the failure of the corresponding component. The health status of the clutch at time t is calculated based on the health status of each key parameter at time t and the corresponding weights; J clutch = J roughness × i roughness + J clamping force × i clamping force + J lift × i lift + J sound × i sound; Among them, i roughness, i clamping force, i lift, and i sound are the weights of friction plate roughness, pressure plate clamping force, pressure plate lift, and release bearing sound health.

7. An electronic device, characterized in that, The electronic device includes: at least one processor; and a memory communicatively connected to the at least one processor; the memory stores computer program instructions executable by the at least one processor, the computer program instructions being executed by the at least one processor to enable the at least one processor to perform the clutch health online evaluation method as described in any one of claims 1 to 5.

8. A non-transitory computer-readable storage medium, characterized in that, The non-transitory computer-readable storage medium stores computer instructions that cause the computer to execute the online clutch health assessment method as described in any one of claims 1 to 5.

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