A digital twin-driven vehicle main clutch temperature and wear prediction method and system

Abstract

The present invention discloses a digital twin-driven vehicle main clutch temperature and wear prediction method and system. The system establishes a clutch twin based on the clutch's initial state; obtains vehicle operating parameters and shift data based on the vehicle and the clutch twin; obtains a shift strategy based on the operating parameters and shift data; and calculates clutch temperature and wear based on the shift strategy. Using digital twin technology, the present invention captures and compiles statistics on the vehicle's clutch shift operating spectrum on different road surfaces in real time, calculates wear coefficients, and develops shift control strategies. This system can calculate the clutch's temperature field and wear in real time, assess its health status in real time, and develop and implement health management strategies.

Description

Technical Field

[0001] The present invention belongs to the field of vehicle performance monitoring and evaluation, and in particular relates to a method and system for predicting the temperature and wear of a vehicle main clutch driven by a digital twin. Background Art

[0002] As a vehicle is used, the clutch wears. Real-time monitoring of the clutch friction element's temperature field and wear changes helps understand the vehicle's operating health. Because the clutch is compactly located inside the transmission, sensors are not readily available. Clutch temperature is calculated and predicted using mathematical algorithms. Understanding clutch wear requires disassembling the transmission for measurement, which is inconvenient and prone to measurement errors. Failure to monitor clutch temperature and wear characteristics in real time while the vehicle is in motion directly impacts ride smoothness and even safety.

[0003] Existing research has examined both clutch temperature fields and clutch wear. However, predictions of both clutch temperature and wear must be based on actual vehicle shifting patterns, road surface characteristics, and other real-world conditions. These studies not only fail to unify clutch temperature and wear calculations, but also fail to consider the road and gear characteristics of actual driving. Furthermore, they fail to establish a clutch health prediction method based on temperature and wear variations. Summary of the Invention

[0004] To solve the above technical problems, the present invention proposes a digital twin-driven vehicle main clutch temperature and wear prediction method and system. Through digital twin technology, the shifting operating condition spectrum of the vehicle entity's clutch when driving on different road surfaces is obtained and counted in real time, and the temperature field and wear of the clutch entity are calculated. The health status of the clutch is predicted in a timely manner, providing a new method and approach for clutch health monitoring and intelligent operation and maintenance.

[0005] To achieve the above objectives, the present invention provides a method for predicting the temperature and wear of a vehicle main clutch driven by a digital twin, comprising:

[0006] According to the initial state of the clutch, a clutch twin is established to complete the virtual mapping of the clutch entity;

[0007] Based on the vehicle and the clutch twin, obtaining operating parameters and shift data of the vehicle;

[0008] Obtaining a shift strategy based on the operating condition parameters and the shift data;

[0009] According to the shifting strategy, the clutch temperature and wear amount are calculated.

[0010] Optionally, before obtaining the vehicle operating parameters based on the vehicle and the clutch twin, the following steps are further included:

[0011] Get clutch wear coefficient;

[0012] The clutch wear coefficient is imported into the clutch twin as a built-in function.

[0013] Optionally, the clutch wear coefficient is:

[0014]

[0015] Among them, K δ is the wear coefficient, a1, b1, c1, a2, b2, c2 are fitting parameters, and T is the clutch temperature.

[0016] Optionally, the operating parameters include: engine speed and clutch passive end speed.

[0017] Optionally, obtaining the shift strategy based on the operating condition parameters and the shift data includes:

[0018] Based on the shift data, obtaining a difference between the engine speed and the clutch passive end speed;

[0019] A ratio of the difference and the engine speed is calculated, and based on the ratio, a clutch friction pair pressing force is obtained.

[0020] Optionally, the clutch temperature is calculated as follows:

[0021] M c =μ·K n ·F·r e ·Z

[0022]

[0023] Among them, M c is the friction torque, Φ is the clutch sliding friction work, μ is the friction coefficient, r e K is the friction side effect radius, n is the clamping force reduction coefficient, F is the friction pair clamping force, Z is the number of friction pairs, c and m are the specific heat capacity and mass of the steel sheet respectively, Q(q) is the clutch forced heat dissipation power, q is the lubrication flow rate, t n-1 , t n are the n-1th and nth nodes of the shift time t, ω e is the engine speed, ω c is the clutch passive end speed.

[0024] Optionally, the method for calculating the wear amount is:

[0025] δ=Kδ FΔωr e dt

[0026] Among them, δ is the wear of friction plate, K δ Wear coefficient, ω is angular velocity, and t is time.

[0027] The present invention also provides a digital twin-driven vehicle main clutch temperature and wear prediction system, comprising: a clutch twin unit, a wear coefficient unit, a data acquisition and transmission unit, a shift recording unit, a shift strategy unit, a temperature field calculation unit, and a wear calculation unit;

[0028] The clutch twin unit is used for data calculation and transmission;

[0029] The wear coefficient unit is used to calculate the wear coefficient of the clutch;

[0030] The data acquisition and transmission unit is used to store and call real-time data of the vehicle entity, clutch entity, and clutch twin;

[0031] The gear shift recording unit is used to record the gear shift operation in the vehicle entity;

[0032] The shift strategy unit is used to obtain a shift strategy based on the shift operation record and the real-time data of the vehicle entity, the clutch entity, and the clutch twin stored in the data acquisition and transmission unit;

[0033] The temperature field calculation unit is used to calculate the temperature field of the clutch entity under the shifting condition according to the shifting strategy;

[0034] The wear amount calculation unit is used to calculate the wear amount of the friction plate according to the shifting strategy.

[0035] Compared with the prior art, the present invention has the following advantages and technical effects:

[0036] The present invention uses digital twin technology to obtain and count the shifting operating condition spectrum of the vehicle entity's clutch when driving on different road surfaces in real time, calculate the wear coefficient, and provide a shifting control strategy. It can calculate the temperature field and wear amount of the clutch entity in real time, and based on this, evaluate the health status of the clutch entity in real time, provide and execute a health management strategy, and force cooling of the clutch entity or adjust the shifting strategy. It can improve the reliability and safety of the clutch, ensure the shifting effect of the clutch entity, and provide a new method and approach for clutch health monitoring and intelligent operation and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The accompanying drawings, which constitute part of this application, are intended to provide a further understanding of this application. The exemplary embodiments and descriptions of this application are intended to explain this application and do not constitute an improper limitation on this application. In the accompanying drawings:

[0038] Figure 1 This is a flow chart of a method for predicting temperature and wear of a vehicle main clutch driven by a digital twin according to an embodiment of the present invention;

[0039] Figure 2 This is a diagram of a vehicle main clutch temperature and wear prediction system driven by a digital twin according to an embodiment of the present invention;

[0040] Figure 3 This is a shift signal diagram according to an embodiment of the present invention;

[0041] Figure 4 This is a characteristic diagram of the clutch temperature field according to an embodiment of the present invention;

[0042] Figure 5 This is a diagram of the accumulated wear of the clutch body according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in this application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0044] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0045] The present invention proposes a method for predicting the temperature and wear of the main clutch of a vehicle driven by digital twins. Figure 1 As shown, specifically including:

[0046] According to the initial state of the clutch, a clutch twin is established to complete the virtual mapping of the clutch entity;

[0047] Based on the vehicle and the clutch twin, obtaining operating parameters and shift data of the vehicle;

[0048] Obtaining a shift strategy based on the operating condition parameters and the shift data;

[0049] calculating clutch temperature and wear according to the shifting strategy;

[0050] Based on the clutch temperature and wear amount, the health status of the clutch is evaluated and managed.

[0051] Furthermore, based on the vehicle and the clutch twin, before obtaining the vehicle operating parameters, the method further includes:

[0052] Get clutch wear coefficient;

[0053] The clutch wear coefficient is imported into the clutch twin as a built-in function.

[0054] Specifically, a UMT friction and wear machine was used to conduct friction pair wear tests under different temperature conditions, and the test data were fitted with a quadratic exponential fit to obtain the wear coefficient K related to the clutch temperature rise. δ , and import the wear coefficient into the clutch twin as a built-in function.

[0055] Furthermore, the operating parameters include: engine speed and clutch passive end speed.

[0056] Specifically, data collection and transmission are performed: a real-time wireless communication mechanism is established between the vehicle entity and the clutch twin. The clutch twin obtains the working parameters of the vehicle entity under the current working conditions, including: engine speed ω e 、Clutch passive end speedω c wait.

[0057] Furthermore, based on the operating condition parameters and the shift data, obtaining the shift strategy includes:

[0058] Based on the shift data, obtaining a difference between the engine speed and the clutch passive end speed;

[0059] A ratio of the difference and the engine speed is calculated, and based on the ratio, a clutch friction pair pressing force is obtained.

[0060] Specifically, the driver performs a gear shift operation in the vehicle entity, and the clutch entity sends the gear shift signal to the clutch twin via wireless transmission. The clutch twin counts the gear shift actions and monitors the real-time actions of the clutch entity.

[0061] The clutch twin sends the shift strategy to the clutch entity. During the shift process, the clutch friction pair pressure is closed-loop controlled in the process of engine and clutch speed synchronization, with the engine speed ω e and clutch passive end speed ω c The difference between the two, and then the engine speed ω e The ratio β is used as the input of the PI controller, and the clutch friction pair clamping force F is used as the output. The shift control strategy is given as follows, which is built into the clutch twin and controls the clutch entity's friction pair clamping force through wireless communication.

[0062] Furthermore, the method for calculating the clutch temperature is:

[0063] M c =μ·K n ·F·r e ·Z

[0064]

[0065] Among them, M c is the friction torque, Φ is the clutch sliding friction work, μ is the friction coefficient, r e K is the friction side effect radius, n is the clamping force reduction coefficient, F is the friction pair clamping force, Z is the number of friction pairs, c and m are the specific heat capacity and mass of the steel sheet respectively, Q(q) is the clutch forced heat dissipation power, q is the lubrication flow rate, t n-1 , t n are the n-1th and nth nodes of the shift time t, ω e is the engine speed, ω c is the clutch passive end speed.

[0066] Furthermore, the method for calculating the wear amount is:

[0067] δ=∫K δ FΔωr e dt

[0068] Among them, δ is the wear of friction plate, K δ is the wear coefficient, ω is the angular velocity, and t is the time.

[0069] Furthermore, based on the clutch temperature and wear, performing health status assessment and management on the clutch includes:

[0070] obtaining different health conditions of the clutch based on the clutch temperature and wear amount;

[0071] Based on the health status, corresponding management measures are executed.

[0072] Specifically, evaluate the health status: the clutch twin performs real-time health status evaluation based on the temperature prediction value and accumulated wear value of the clutch entity. If T<200℃, the clutch entity is in a safe range and no intervention is required; 200℃≤T<270℃, the clutch entity is in a dangerous range and health management measure 1 needs to be implemented; T≥270℃, the clutch entity is in an extremely dangerous range and health management measure 2 needs to be implemented; when the clutch twin predicts that the clutch entity wear exceeds the allowable value, the clutch entity is in an extremely dangerous range and health management measure 3 needs to be implemented.

[0073]

[0074] Where h jis the limit wear thickness of single friction plate on both sides, and N is the total number of clutch engagements under this operating condition spectrum.

[0075] Perform health management: The clutch twin performs health management based on the real-time health status assessment results of the clutch entity.

[0076] Health management method 1: The clutch twin sends instructions to the PI controller of the clutch entity to increase the heat dissipation and lubrication flow of the clutch entity to the maximum, thereby improving the clutch's forced heat dissipation power.

[0077] Health Management Method 2: The clutch twin regulates the vehicle's engine speed to speed up shifts and reduce clutch heat and wear. The clutch twin sends commands to the clutch's PI controller to reduce engine speed during upshifts and increase engine speed during downshifts. Specifically, the input to the PI controller is the clutch's passive end speed after the gear shift, ω. c and engine speed ω e The deviation Δω is output as the engine throttle opening

[0078]

[0079] Where K3 and K4 are proportional constant and integral constant respectively.

[0080] Health management method 3: The clutch twin sends an alarm command to the clutch entity, prompting the clutch friction plate to be replaced.

[0081] When health management measure 1 is executed, the clutch twin sends health management method 1 to the clutch twin; when health management measure 2 is executed, the clutch twin sends health management method 1 and method 2 to the clutch twin; when health management measure 3 is executed, the clutch twin sends health management method 1, method 2 and method 3 to the clutch twin.

[0082] The present invention also provides a vehicle main clutch temperature and wear prediction system driven by digital twins, such as Figure 2 As shown, it includes: a clutch twin unit, a wear coefficient unit, a data acquisition and transmission unit, a shift recording unit, a shift strategy unit, a temperature field calculation unit, a wear amount calculation unit, a health status assessment unit and a health management unit;

[0083] The clutch twin unit is used for data calculation and transmission;

[0084] The wear coefficient unit is used to calculate the wear coefficient of the clutch;

[0085] The data acquisition and transmission unit is used to store and call real-time data of the vehicle entity, clutch entity, and clutch twin;

[0086] The gear shift recording unit is used to record the gear shift operation in the vehicle entity;

[0087] The shift strategy unit is used to obtain a shift strategy based on the shift operation record and the data acquisition and transmission unit;

[0088] The temperature field calculation unit is used to calculate the temperature field of the clutch entity under the shifting condition according to the shifting strategy;

[0089] The wear amount calculation unit is used to calculate the wear amount of the friction plate according to the shifting strategy;

[0090] The health status assessment unit is used to perform health status assessment based on the temperature field and the wear amount of the friction plate;

[0091] The health management unit is used to perform health management according to the health status assessment result.

[0092] Specifically, the clutch twin unit: based on the initial state of the clutch entity, a clutch twin is established. The subsequent shift recording unit, shift strategy unit, temperature field calculation unit, wear calculation unit, health status assessment unit, and health management unit will all use the clutch twin as the basis for data calculation and transmission.

[0093] Wear coefficient unit: Perform quadratic exponential fitting on the wear test data of the friction disc under different temperature fields to obtain the wear coefficient K related to the clutch temperature rise δ and import the wear coefficient into the clutch twin unit.

[0094] Data acquisition and transmission unit: responsible for real-time wireless communication between the vehicle entity and the clutch twin, storing and calling the real-time data of the vehicle entity, clutch entity and clutch twin.

[0095] Gear shift recording unit: When the driver performs a gear shift operation in the vehicle entity, the gear shift recording unit counts the gear shift actions of the clutch entity and sends them to the clutch twin.

[0096] Shift strategy unit: sends the shift strategy to the clutch entity.

[0097] Temperature field calculation unit: The clutch twin calculates the real-time sliding friction work and temperature characteristics of the clutch entity under a single shifting condition based on the collected clutch entity data.

[0098] Wear calculation unit: The clutch twin calculates the friction plate wear δ of the clutch entity under a single vehicle cycle condition.

[0099] Health status assessment unit: The clutch twin performs real-time health status assessment based on the temperature prediction value and accumulated wear value of the clutch entity

[0100] Health management unit: The clutch twin performs health management based on the real-time health status assessment results of the clutch entity.

[0101] Example

[0102] 1. Clutch twin unit: According to the initial state of the clutch entity, the clutch twin is established.

[0103] 2. Wear coefficient unit: Perform quadratic exponential fitting on the wear test data of the friction disc under different temperature fields to obtain the wear coefficient K related to the clutch temperature rise δ and import the wear coefficient into the clutch twin unit.

[0104]

[0105] a1=17.93, b1=376.7, c1=64.57, a2=95.53, b2=881.2, c2=480.9

[0106] 3. Data acquisition and transmission unit: responsible for real-time wireless communication between the vehicle entity and the clutch twin, and stores and calls the real-time data of the vehicle entity, clutch entity, and clutch twin.

[0107] 4. Gear shift recording unit: The driver performs gear shifting in the vehicle entity, and the gear shift recording unit counts the gear shifting actions of the clutch entity and sends them to the clutch twin, such as Figure 3 shown.

[0108] 5. Gear shift strategy unit: sends the gear shift strategy to the clutch entity.

[0109]

[0110] K1=3000、K2=8000

[0111] 6. Temperature field calculation unit: The clutch twin calculates the temperature characteristics of the clutch entity under a single shifting condition based on the collected clutch entity data, such as Figure 4 shown.

[0112] 7. Wear calculation unit: The clutch twin calculates the cumulative wear δ of the friction plate of the clutch entity under a single vehicle cycle condition, such as Figure 5 shown.

[0113] 8. Health status assessment unit: The clutch twin performs real-time health status assessment based on the temperature prediction value and accumulated wear value of the clutch entity. Under this operating spectrum, 200℃≤T<270℃, the clutch entity is in the dangerous range and health management measure 1 needs to be implemented.

[0114] 9. Health management unit: The clutch twin implements health management measure 1 based on the real-time health status assessment results of the clutch entity: The clutch twin sends instructions to the PI controller of the clutch entity to increase the heat dissipation and lubrication flow of the clutch entity to the maximum, thereby improving the clutch's forced heat dissipation power.

[0115] The above are merely preferred embodiments of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A method for predicting vehicle main clutch temperature and wear driven by digital twin, characterized in that: include: According to the initial state of the clutch, a clutch twin is established; Based on the vehicle and the clutch twin, obtaining operating parameters and shift data of the vehicle; Based on the vehicle and the clutch twin, before obtaining the vehicle operating parameters, the following steps are also included: Get clutch wear coefficient; Importing the clutch wear coefficient into the clutch twin as a built-in function; The operating parameters include: engine speed and clutch passive end speed; Obtaining a shift strategy based on the operating condition parameters and the shift data; Based on the operating condition parameters and the shift data, obtaining the shift strategy includes: Based on the shift data, obtaining a difference between the engine speed and the clutch passive end speed; calculating a ratio of the difference to the engine speed, and obtaining a clutch friction pair pressing force based on the ratio; According to the shifting strategy, the clutch temperature and wear amount are calculated.

2. The method for predicting temperature and wear of a vehicle main clutch driven by a digital twin according to claim 1, characterized in that: The clutch wear coefficient is: Among them, K δ is the wear coefficient, a1, b1, c1, a2, b2, c2 are fitting parameters, and T is the clutch temperature.

3. The method for predicting temperature and wear of a vehicle main clutch driven by a digital twin according to claim 1, characterized in that: The method for calculating the clutch temperature is: M c =μ·K n ·F·r e ·Z Among them, M c is the friction torque, T is the clutch temperature, Φ is the clutch sliding work, μ is the friction coefficient, r e K is the friction side effect radius, n is the clamping force reduction coefficient, F is the friction pair clamping force, Z is the number of friction pairs, c and m are the specific heat capacity and mass of the steel sheet respectively, Q(q) is the clutch forced heat dissipation power, q is the lubrication flow rate, t n-1 , t n are the n-1th and nth nodes of the shift time t, ω e is the engine speed, ω c is the clutch passive end speed.

4. The method for predicting temperature and wear of a vehicle main clutch driven by a digital twin according to claim 3, characterized in that: The method for calculating the wear amount is: δ=∫K δ Free e dt Among them, δ is the wear of friction plate, K δ is the wear coefficient, ω is the angular velocity, and t is the time.

5. A digital twin-driven vehicle main clutch temperature and wear prediction system implemented by the method according to any one of claims 1 to 4, characterized in that: include: Clutch twin unit, wear coefficient unit, data acquisition and transmission unit, shift recording unit, shift strategy unit, temperature field calculation unit and wear amount calculation unit; The clutch twin unit is used for data calculation and transmission; The wear coefficient unit is used to calculate the wear coefficient of the clutch; The data acquisition and transmission unit is used to store and call real-time data of the vehicle entity, clutch entity, and clutch twin; The gear shift recording unit is used to record the gear shift operation in the vehicle entity; The shift strategy unit is used to obtain a shift strategy based on the shift operation record and the real-time data of the vehicle entity, the clutch entity and the clutch twin acquired by the data acquisition and transmission unit; The temperature field calculation unit is used to calculate the temperature field of the clutch entity under the shifting condition according to the shifting strategy; The wear amount calculation unit is used to calculate the wear amount of the friction plate according to the shifting strategy.

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