A method and system for gearbox lubrication control

Abstract

The application discloses a kind of gear box lubrication control method and system, it is related to lubrication control technical field, the method comprises: the fluid domain full parameter model of vehicle-mounted gear box under different working conditions is constructed;Based on the fluid domain full parameter model under each working condition, the lubrication virtual numerical model under each working condition is obtained;Based on the real-time data variable of vehicle-mounted gear box and the multiple lubrication virtual data models under different working conditions, the target import oil flow is obtained;According to target import lubrication flow, the import oil pump of vehicle-mounted gear box is carried out real-time flow control, to realize the real-time lubrication control of vehicle-mounted gear box.The method of the application can reduce cost, improve lubrication reliability.

Description

Technical Field

[0001] This application relates to the field of lubrication control technology, and in particular to a gearbox lubrication control method and system. Background Technology

[0002] The gearbox is an indispensable key component of a tractor. It acts as a chassis housing, supporting the cab or frame, transmitting driving force, and bearing the weight of the vehicle. Lubrication is crucial for the normal operation of the gearbox. It effectively reduces friction and wear on internal gears and bearings, lowers operating temperature, prevents corrosion, ensures smooth and efficient power transmission, thereby extending the gearbox's service life and improving vehicle reliability. To ensure normal operation of the gearbox under extreme conditions, most gearboxes currently use over-lubrication systems. However, this can lead to excessive lubricating oil in the gearbox under non-extreme operating conditions, resulting in greater power loss in oil churning and reduced operating efficiency.

[0003] Currently, some intelligent gearbox lubrication methods involve installing sensors inside the gearbox to detect lubricating oil temperature, gear meshing temperature, inlet and outlet pressure, and inlet and outlet flow rates. A PLC controller then controls the oil pump to achieve intelligent lubrication by regulating the inlet and outlet flow rates. However, this method, relying on data feedback from internal gearbox sensors for flow adjustment, suffers from time delays and is prone to over- or under-lubrication, resulting in insufficient lubrication reliability. Therefore, existing sensor-based intelligent gearbox lubrication methods not only increase costs but also compromise lubrication reliability. Summary of the Invention

[0004] To overcome the problems of increased costs and insufficient lubrication reliability caused by existing methods of adding sensors for intelligent gearbox lubrication, this application provides a gearbox lubrication control method and system.

[0005] Firstly, in order to solve the above-mentioned technical problems, this application provides a gearbox lubrication control method, comprising: Construct a full-parameter model of the fluid domain of the vehicle gearbox under different operating conditions; A virtual numerical model of lubrication under each working condition is obtained based on the full parameter model of the fluid domain under each working condition. The target inlet oil flow rate is obtained based on multiple virtual lubrication data models under different working conditions and real-time data variables of the vehicle gearbox. Real-time flow control of the inlet oil pump of the vehicle gearbox is performed according to the target inlet lubrication flow rate to achieve real-time lubrication control of the vehicle gearbox.

[0006] Secondly, this application also provides a gearbox lubrication control system, comprising: The building module is used to build a full-parameter model of the fluid domain of the vehicle gearbox under different operating conditions; The numerical model determination module is used to obtain the lubrication virtual numerical model for each working condition based on the full parameter model of the fluid domain for each working condition. The real-time data processing module is used to obtain the target inlet oil flow rate based on multiple lubrication virtual data models under different working conditions and real-time data variables of the vehicle gearbox. The real-time flow control module is used to control the inlet oil pump of the vehicle gearbox in real time according to the target inlet lubrication flow rate, so as to realize the real-time lubrication control of the vehicle gearbox.

[0007] Thirdly, this application also provides a computing device, including a memory, a processor, and a program stored in the memory and running on the processor, wherein the processor executes the program to implement the steps of the gearbox lubrication control method described above.

[0008] Fourthly, this application also provides a computer-readable storage medium storing instructions that, when executed on a terminal device, cause the terminal device to perform the steps of the gearbox lubrication control method described above.

[0009] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the gearbox lubrication control method described above.

[0010] The beneficial effects of this application are as follows: First, by constructing a full-parameter model of the fluid domain of the vehicle gearbox under different operating conditions, a virtual numerical model of lubrication under each operating condition is obtained based on the full-parameter model of the fluid domain under each operating condition. Second, based on multiple virtual lubrication data models under different operating conditions and the real-time data variables of the vehicle gearbox, the target inlet oil flow rate is obtained, and the inlet oil pump of the vehicle gearbox is controlled in real time according to the target inlet lubrication flow rate to achieve real-time lubrication control of the vehicle gearbox. In this way, by using the virtual numerical model of lubrication of the vehicle gearbox under different operating conditions obtained through pre-simulation, real-time model processing can be performed according to the real-time data variables of the vehicle gearbox, and targeted real-time lubrication control of the vehicle gearbox can be achieved according to the target inlet oil flow rate obtained from the model processing. This improves the real-time performance and accuracy of lubrication control. Compared with the method of adding sensors for intelligent gearbox lubrication, the method of this application does not require the addition of sensors, which not only reduces costs but also improves lubrication reliability. Attached Figure Description

[0011] Figure 1This is a schematic flowchart illustrating a gearbox lubrication control method as an exemplary embodiment of this application; Figure 2 This is a schematic diagram of the tilt angle in an exemplary embodiment of this application; Figure 3 This is a schematic diagram of the roll angle in an exemplary embodiment of this application; Figure 4 This is a schematic flowchart of a bidirectional coupling simulation in an exemplary embodiment of this application; Figure 5 This is a schematic diagram of the gearbox lubrication simulation model optimization process in an exemplary embodiment of this application; Figure 6 This is a schematic flowchart illustrating the application of the provided gearbox lubrication control method in an exemplary embodiment of this application; Figure 7 This is a flowchart illustrating the determination of a virtual data model for lubrication in an exemplary embodiment of this application. Figure 8 This is a schematic diagram of the real-time lubrication control process of an on-board gearbox in an exemplary embodiment of this application; Figure 9 This is a schematic diagram of the early warning process of an on-board gearbox in an exemplary embodiment of this application; Figure 10 This is a schematic diagram of the structure of a gearbox lubrication control system, which is an exemplary embodiment of this application. Detailed Implementation

[0012] The following embodiments are further explanations and supplements to this application and do not constitute any limitation on this application.

[0013] The following describes a gearbox lubrication control method and system according to an embodiment of this application, with reference to the accompanying drawings.

[0014] The gearbox lubrication control method provided in this application can be specifically executed by a server. It should be noted that the server can be an independent server, or it can be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms. No limitation is imposed here.

[0015] The gearbox lubrication control method provided in this application is applicable to all vehicle gearbox systems, including gearboxes of heavy engineering machinery vehicles, gearboxes of large transport vehicles, industrial transmission gearboxes, railway locomotives and vehicle gearboxes, etc.

[0016] Please see Figure 1 , Figure 1 A gearbox lubrication control method is illustrated in an exemplary embodiment of this application, such as... Figure 1 As shown, this application provides a gearbox lubrication control method, including: S101, Construct a full-parameter model of the fluid domain of the vehicle gearbox under different working conditions; S102, based on the full parameter model of the fluid domain under each working condition, a virtual numerical model of lubrication under each working condition is obtained; S103, the target inlet oil flow rate is obtained based on multiple lubrication virtual data models under different working conditions and real-time data variables of the vehicle gearbox; S104, real-time flow control of the inlet oil pump of the vehicle gearbox is performed according to the target inlet lubrication flow rate, so as to realize real-time lubrication control of the vehicle gearbox.

[0017] The gearbox lubrication control method provided in this application firstly constructs a full-parameter model of the fluid domain of the vehicle gearbox under different operating conditions, and obtains a virtual numerical model of lubrication for each operating condition based on the full-parameter model of the fluid domain under each operating condition. Secondly, based on multiple virtual lubrication data models under different operating conditions and the real-time data variables of the vehicle gearbox, the target inlet oil flow rate is obtained, and the inlet oil pump of the vehicle gearbox is controlled in real-time according to the target inlet lubrication flow rate to achieve real-time lubrication control of the vehicle gearbox. In this way, by using the virtual numerical model of lubrication of the vehicle gearbox under different operating conditions obtained through pre-simulation, real-time model processing can be performed according to the real-time data variables of the vehicle gearbox, and targeted real-time lubrication control of the vehicle gearbox can be achieved according to the target inlet oil flow rate obtained from the model processing. This improves the real-time performance and accuracy of lubrication control. Compared with the method of adding sensors for intelligent gearbox lubrication, the method of this application does not require the addition of sensors, which not only reduces costs but also improves lubrication reliability. The slope angle θ and roll angle β have different values ​​under different working conditions. The real-time data variables include the real-time slope angle, the real-time roll angle and the real-time inlet oil temperature.

[0018] Optionally, construct a full-parameter model of the fluid domain of the on-board gearbox under different operating conditions, including: A 3D model of the vehicle gearbox is obtained by performing a 3D modeling. Construct a fluid domain model of the lubricating oil surface at the bottom of the vehicle gearbox under different operating conditions; The full parameterization of the fluid domain model under each working condition is achieved by fusing the three-dimensional model of the gearbox with the fluid domain model of the lubricating oil surface under each working condition.

[0019] In the embodiment provided in this application, a three-dimensional model of the vehicle gearbox is performed to obtain a three-dimensional model of the gearbox. A fluid domain model of the lubricating oil surface at the bottom of the vehicle gearbox under different operating conditions is constructed. Then, based on the three-dimensional model of the gearbox and the fluid domain model of the lubricating oil surface under each operating condition, a fully parametric fusion is performed to obtain a fully parametric model of the fluid domain under each operating condition. This achieves fully parametric modeling of the vehicle gearbox under different operating conditions, improves the matching degree between the obtained fully parametric model of the fluid domain and the state of the vehicle gearbox under the corresponding operating conditions, and thus improves the accuracy of real-time lubrication control based on the lubrication virtual data model obtained by simulation based on the fully parametric model of the fluid domain, thereby improving lubrication reliability.

[0020] In this embodiment, the steps of full parameterization fusion are as follows: Define the gearbox's geometric characteristics (gearbox dimensions, gear module, number of teeth, shaft position, bearing type, etc.) and the lubricating oil's physical properties (density, viscosity, surface tension, etc.). Using the slope angle θ and the tilt angle β as global operating parameters, a spatial tilt function of the lubricating oil surface in the direction of gravity is defined to ensure that the surface normal is consistent with the direction of gravity, thus establishing a mathematical relationship between the surface position and θ and β. For each working condition (θ, β combination), based on the principle of oil volume conservation, the free liquid surface height field of the lubricating oil in the tank under static conditions is calculated, and a fluid domain model (i.e., the spatial region occupied by the oil) is generated based on this liquid surface. All key dimensions in the 3D model of the gearbox (such as bearing housing position, gear meshing point coordinates, oil passage cross section) and fluid domain boundaries related to the liquid level position (such as oil inlet, outlet, wall adhesion area) are parameterized, and parameter variables and their value ranges are defined. Establish parameter association rules: For example, the liquid level height changes with the sine of θ, the cross-sectional area of ​​the oil flow channel is dynamically updated with the flow rate Q, and the gear speed v affects the oil stirring loss and the liquid level fluctuation coefficient; Based on the above parameters, a full-parameter model of the fluid domain under each working condition is finally formed.

[0021] In an exemplary embodiment provided in this application, the vehicle-mounted gearbox can be a tractor gearbox. The steps for full parameterization modeling of the fluid domain under different operating conditions of the vehicle-mounted gearbox are as follows: Using 3D software (including UG, SolidWorks, Catia, Pro-e, etc., UG modeling is used as an example here) to model the tractor gearbox (including the internal airflow area of ​​the gearbox, the gears and bearings inside the gearbox, etc.), a 3D model of the gearbox is obtained.

[0022] Construct a fluid domain model of the lubricating oil surface at the bottom of the tractor gearbox under different working conditions (considering the working conditions of the gearbox with slope and tilt, establish the fluid domain of the lubricating oil inside the gearbox affected by gravity).

[0023] Fully parametric modeling of a gearbox simulation model using UG (e.g.) Figure 2 and Figure 3 Only the slope angle needs to be adjusted. and roll angle (Model update of lubricating oil surface fluid domain model can be realized): Based on the gearbox 3D model and the lubricating oil surface fluid domain model under each working condition, the model is fully parametrically fused to obtain the fluid domain full parameter model under each working condition, and converted into an output 3D model file: chilunxiangliutiyu.x_t file.

[0024] Optionally, a virtual numerical model of lubrication under each operating condition is obtained based on the full-parameter model of the fluid domain under each operating condition, including: For each operating condition, perform the following steps: A two-way coupled simulation was performed on the full-parameter model of the fluid domain under the working condition to obtain the gearbox lubrication simulation model under the working condition. The gearbox lubrication simulation model was modified to obtain a virtual model of the gearbox under operating conditions. The parameters of the virtual model of the gearbox are optimized to obtain a virtual simulation model of lubrication under working conditions; The lubrication virtual simulation model is trained to obtain a lubrication virtual numerical model under operating conditions.

[0025] In the embodiment provided in this application, the following steps are performed for each operating condition: First, a bidirectional coupled simulation is performed on the full-parameter model of the fluid domain under the operating condition to fully extract the hidden parameters in the full-parameter model of the fluid domain, and to construct the causal thinking between parameters under complex operating conditions from different simulation perspectives. This allows the gearbox lubrication simulation model under the obtained operating condition to have a more comprehensive parameter correlation relationship of the vehicle gearbox, improving the matching degree between the model and the entity. Second, the gearbox lubrication simulation model is successively corrected, parameter optimized, and trained to obtain the lubrication virtual numerical model under the corresponding operating condition. In this way, the correction is used to adjust the defects in the model structure or assumptions, making up for systematic deviations. The parameter optimization is used to calibrate the uncertainty coefficients in the model, making it more realistic. At the same time, the training allows the model to learn the mapping rules autonomously from a large amount of data, thereby significantly improving the prediction accuracy and reliability of the model. This, in turn, can improve the accuracy of real-time lubrication control based on the lubrication virtual data model, thereby improving the lubrication reliability of the vehicle gearbox.

[0026] Optionally, a two-way coupled simulation is performed on the full-parameter model of the fluid domain under operating conditions to obtain a gearbox lubrication simulation model under operating conditions, including: The full-parameter model of the fluid domain under the working condition is imported into the preset CFD fluid simulation software for model processing to obtain the first fluid domain model. The full-parameter model of the fluid domain under the working condition is imported into the preset EDEM simulation software for parameter setting to obtain the second fluid domain model. By connecting the CFD fluid simulation software to the EDEM simulation software and activating the coupling function of the EDEM simulation software, as well as the solvers of the CFD fluid simulation software and the EDEM simulation software, a bidirectional coupled calculation of the first fluid domain model and the second fluid domain model is performed to obtain the gearbox lubrication simulation model under the working condition.

[0027] In the embodiment provided in this application, the full-parameter model of the fluid domain under the operating condition is imported into preset CFD fluid simulation software and EDEM simulation software for processing to obtain a first fluid domain model and a second fluid domain model. The CFD fluid simulation software is then connected to the EDEM simulation software, and the coupling function of the EDEM simulation software and the solvers of both the CFD and EDEM simulation software are activated to perform bidirectional coupled calculations on the first and second fluid domain models, resulting in a gearbox lubrication simulation model under the operating condition. This bidirectional coupled simulation of the full-parameter model of the fluid domain using CFD and EDEM simulation software allows for the extraction of hidden parameters from the full-parameter model and the construction of causal relationships between parameters under complex operating conditions from different simulation perspectives. This results in a gearbox lubrication simulation model under the operating condition that possesses more comprehensive parameter relationships within the vehicle gearbox, improving the matching degree between the gearbox lubrication simulation model and the actual vehicle. This, in turn, enhances the accuracy of real-time lubrication control based on the optimized virtual numerical model of the gearbox lubrication simulation model, thereby improving the lubrication reliability of the vehicle gearbox.

[0028] In this embodiment, model processing includes mesh generation, physical model selection, and boundary condition setting. The set boundary conditions include the inlet oil flow rate, inlet oil temperature, and all gear speeds of the vehicle gearbox.

[0029] The parameter settings include oil particle parameter settings, inlet injector and oil level settings, and oil inlet initial speed or flow rate settings.

[0030] In an exemplary embodiment provided in this application, the CFD fluid simulation software includes StarCCM+, Fluent, StarCD, FIDAP, STREAM, Shipflow, XFLow, etc. Here, Fluent is taken as an example, and the specific steps of bidirectional coupled simulation of Fluent and EDEM are as follows: Import the full-parameter model of the fluid domain into Fluent, perform mesh generation, select the physical model, and set boundary conditions (inlet flow rate Q and inlet temperature). Speed ​​of each gear After processing the model, the first fluid domain model is obtained.

[0031] The full-parameter model of the fluid domain is imported into the EDEM (Discrete Element Method) simulation software for parameter setting: setting oil particle parameters (particle size distribution, density, elastic modulus, etc.), setting the inlet nozzle and oil surface, and setting the initial velocity or flow rate of the oil inlet to obtain the second fluid domain model.

[0032] In Fluent, initiate EDEM coupling and connect to the EDEM coupling server. Enable the coupling function in the EDEM simulation software and simultaneously start the solvers for both Fluent and EDEM to begin bidirectional coupled calculations on the first and second fluid domain models. (Fluent transmits flow field data to EDEM, influencing particle motion; EDEM returns particle position, momentum, and other parameters to Fluent, which serve as momentum source terms influencing the flow field. See details...) Figure 4 The gearbox lubrication simulation model was obtained, and post-processing was performed on the model to extract the first temperature parameter from the fluid simulation results: the maximum temperature of the vehicle gearbox housing. Temperature of each gear inside the gearbox and the temperature of each bearing .

[0033] Optionally, the gearbox lubrication simulation model is modified to obtain a virtual gearbox model under operating conditions, including: Extract the first temperature parameter from the gearbox lubrication simulation model; The first temperature parameter is compared and verified with the test temperature data under the working condition. If the first temperature parameter and the test temperature data meet the preset temperature difference requirements, the gearbox lubrication simulation model is determined as the gearbox virtual model under the working condition. Otherwise, the parameters of the gearbox lubrication simulation model are corrected to obtain the gearbox lubrication correction model; When the first temperature parameter of the gearbox lubrication correction model meets the temperature difference requirement with the test temperature data, the gearbox lubrication correction model is determined as the virtual gearbox model under the working condition.

[0034] In the embodiment provided in this application, the first temperature parameter in the gearbox lubrication simulation model is compared and verified with the test temperature data under the operating condition. If the first temperature parameter and the test temperature data meet the preset temperature difference requirement, the gearbox lubrication simulation model is determined as the gearbox virtual model under the operating condition. Otherwise, the gearbox lubrication simulation model is modified to obtain a modified gearbox lubrication model. When the modified first temperature parameter corresponding to the modified gearbox lubrication model meets the temperature difference requirement with the test temperature data, the modified gearbox lubrication model is determined as the gearbox virtual model under the operating condition. In this way, it is possible to correct and adjust for defects in the model structure or assumptions, compensate for systematic deviations, and ensure that the modified gearbox virtual model always meets the temperature difference requirement, thereby improving the accuracy of the gearbox virtual model. This, in turn, improves the accuracy of real-time lubrication control based on the lubrication virtual numerical model optimized from the gearbox virtual model, thereby enhancing the lubrication reliability of the vehicle gearbox. The first temperature parameter includes the maximum temperature of the vehicle gearbox housing, the temperature of all gears, and the temperature of all bearings.

[0035] In this embodiment, the temperature difference requirements include that the temperature difference of the housing is less than the first temperature difference value, the temperature difference of the gears is less than the second temperature difference value, and the temperature difference of the bearings is less than the third temperature difference value.

[0036] Optionally, the virtual model of the gearbox includes boundary conditions; The parameters of the gearbox virtual model are optimized to obtain the lubrication virtual simulation model, including: Extract the second temperature parameter from the virtual model of the gearbox; The objective function for the inlet oil flow rate of the vehicle gearbox was designed; Based on boundary conditions and the second temperature parameter, the gearbox virtual model is optimized by parameter simulation to obtain the lubrication virtual simulation model, so that the output of the lubrication virtual simulation model satisfies the objective function of multiple simulated inlet oil flow rates.

[0037] In the embodiment provided in this application, based on the boundary conditions and second temperature parameters in the gearbox virtual model, parameter simulation optimization is performed on the gearbox virtual model to obtain a lubrication virtual simulation model. This ensures that the lubrication virtual simulation model outputs multiple simulated inlet oil flow rates that satisfy the objective function (the purpose of parameter simulation optimization). In this way, parameter optimization calibrates the uncertainty coefficients in the model, making it more realistic. This improves the accuracy of the optimized lubrication virtual simulation model, and consequently, enhances the accuracy of real-time lubrication control using the lubrication virtual numerical model trained from the lubrication virtual simulation model, thereby improving the lubrication reliability of the vehicle gearbox.

[0038] In this embodiment, the boundary conditions include the inlet oil flow rate, inlet oil temperature, and all gear speeds of the on-board gearbox. The second temperature parameters include the maximum corrected temperature of the gearbox housing, the corrected temperature of all gears, and the corrected temperature of all bearings. The objective function is: gearbox design requirements. Temperature of each gear Temperature of each bearing (in , , (This is a threshold determined by industry standards).

[0039] In an exemplary embodiment provided in this application, the specific steps for optimizing the parameters of the gearbox virtual model to obtain the lubrication virtual simulation model are as follows: The boundary conditions in the virtual gearbox model obtained from the modified gearbox lubrication Fluent and EDEM coupled simulations were compiled into a script file. Similarly, the second temperature parameter (maximum gearbox temperature) output from the gearbox virtual model after the gearbox lubrication simulation was processed. Temperature of each gear inside the gearbox and the temperature of each bearing The corrected gearbox lubrication simulation is written into a post-processing script file to achieve automated calculation and result output.

[0040] The modified gearbox lubrication simulation is automated using parameter optimization (including multidisciplinary simulation software and a self-developed optimization program; here, the Isight multidisciplinary simulation platform is used as an example). The gearbox fluid domain model and gearbox lubrication simulation boundary conditions are modified using Isight's file parser and variable designer. (The slope angle is used as an example.) and the range of roll angles As a model design variable, the gearbox fluid domain model is updated by modifying the full-parameter model file; while the inlet oil flow rate... Inlet oil temperature Speed ​​of each gear Modifications were made to the script file for boundary conditions in gearbox lubrication simulation using Isight, based on gearbox design requirements. Temperature of each gear Temperature of each bearing (in , , (It is determined by industry standards) as the objective function.

[0041] The set of inlet oil flow rates Q[] that satisfy the objective function is output by the automated simulation calculation in the rapid optimization model of the parameter optimization platform, and the lubrication virtual simulation model is obtained.

[0042] Optionally, the lubrication virtual simulation model is trained to obtain a lubrication virtual numerical model under operating conditions, including: Extract simulation parameters and objective functions from the lubrication virtual simulation model; The simulation parameters are used as design variables, and the inlet oil flow rate that satisfies the objective function is used as the output result. The lubrication virtual simulation model is trained to obtain the lubrication virtual numerical model under the working condition. The lubrication virtual numerical model includes the implicit mapping function relationship from the design variables to the output result.

[0043] In the embodiment provided in this application, simulation parameters in the lubrication virtual simulation model are used as design variables, and the inlet oil flow rate that satisfies the objective function in the lubrication virtual simulation model is used as the output result. The lubrication virtual simulation model is trained to obtain a lubrication virtual numerical model under operating conditions. The lubrication virtual numerical model includes the implicit mapping function relationship from the design variables extracted during training to the output result. In this way, the model learns the mapping rules autonomously from a large amount of data through training, which can significantly improve the prediction accuracy and reliability of the model. This, in turn, can improve the accuracy of real-time lubrication control based on the lubrication virtual data model, thereby improving the lubrication reliability of the vehicle gearbox. The simulation parameters include simulated slope angle, simulated roll angle, multiple simulated inlet oil flow rates, simulated inlet oil temperature, and all simulated gear speeds.

[0044] In this embodiment, the process of determining the implicit mapping function relationship includes: when training the lubrication virtual simulation model, performing data fitting operations such as coordinate system plotting fitting, linear regression fitting, multivariate function fitting, and neural network fitting on one or more types of input data to obtain trend formulas corresponding to all fitting results (existing fitting tools can be used to convert fitting results to formulas); and forming an implicit mapping function relationship based on all trend formulas. Specifically, when fitting the neural network, at least one of the following can be selected: Multilayer Perceptron (MLP), Radial Basis Function Network (RBF), Residual Network (ResNet), Recurrent / Long Short-Term Memory Network (RNN / LSTM), attention mechanism, Kolmogorov-Arnold Network (KAN).

[0045] Specifically, the process of sequentially correcting, optimizing parameters, and training the gearbox lubrication simulation model is as follows: Figure 5 As shown.

[0046] In an exemplary embodiment provided in this application, a virtual simulation model for lubrication is trained to obtain a virtual numerical model of lubrication under operating conditions. The specific steps are as follows: The slope angle in the lubrication virtual simulation model calculated by the parameter optimization platform is taken. yaw angle range Flow rate of imported oil Inlet oil temperature T, speed of each gear Simulation parameters, used as design variables, will satisfy the maximum temperature of the enclosure. Temperature of each gear inside the gearbox and the temperature of each bearing The inlet oil flow rate of this objective function is used as the output result to establish the original database. Through training of the lubrication virtual simulation model, a lubrication virtual numerical model containing the implicit mapping function relationship from design variables to output results is obtained, realizing a rapid response from design variables to output results.

[0047] Finally, through the implicit mapping function relationship trained by the numerical model on the parameter optimization platform, the set of all inlet oil flow rates Q[] that satisfy the objective function is quickly calculated and output.

[0048] The calculation and judgment are performed in the parameter optimization platform. First, the set of inlet oil flow rates Q[] that satisfy all objective function working conditions is calculated. The minimum inlet oil flow rate is selected as the optimal solution (satisfying the gearbox lubrication condition, the smaller the flow rate, the smaller the gearbox working energy consumption).

[0049] Optionally, real-time data variables include real-time slope angle, real-time roll angle, and real-time inlet oil temperature; The target inlet oil flow rate is obtained based on multiple virtual lubrication data models under different operating conditions and real-time data variables from the vehicle gearbox, including: From multiple lubrication virtual data models under different working conditions, a target lubrication virtual data model matching the real-time slope angle and real-time roll angle is selected. Real-time data variables are input into the target lubrication virtual data model, and the implicit mapping function relationship in the target lubrication virtual data model is used to calculate the real-time data variables to obtain multiple candidate inlet oil flow rates that satisfy the objective function in the target lubrication virtual data model. The minimum value among multiple candidate imported oil flow rates is used as the target imported oil flow rate corresponding to the real-time data variable.

[0050] In this embodiment, a target lubrication virtual data model matching the real-time slope angle and real-time roll angle is selected from multiple lubrication virtual data models under different operating conditions. Real-time data variables are input into the target lubrication virtual data model, and the implicit mapping function relationship in the target lubrication virtual data model is used to calculate the real-time data variables, obtaining multiple candidate inlet oil flow rates that satisfy the objective function in the target lubrication virtual data model. The minimum value among the multiple candidate inlet oil flow rates is then used as the target inlet oil flow rate corresponding to the real-time data variable. In this way, the lubrication virtual numerical model of the vehicle gearbox under different operating conditions, obtained through pre-simulation, can perform real-time model processing based on the real-time data variables of the vehicle gearbox, and achieve targeted real-time lubrication control of the vehicle gearbox according to the target inlet oil flow rate obtained from the model processing. This improves the real-time performance and accuracy of lubrication control, thereby enhancing the lubrication reliability of the vehicle gearbox. The real-time data variables are collected by external data acquisition devices (including oil tank inlet temperature sensors, slope sensors, roll sensors, etc.).

[0051] Specifically, the implicit mapping function relationship in the target lubrication virtual data model is used to calculate the real-time data variables to obtain multiple candidate inlet oil flow rates that satisfy the objective function in the target lubrication virtual data model. This includes substituting the real-time data variables into the implicit mapping function relationship in the target lubrication virtual data model for calculation to obtain multiple candidate inlet oil flow rates that satisfy the objective function in the target lubrication virtual data model.

[0052] Optionally, the gearbox lubrication control method further includes: When calculating real-time data variables using the implicit mapping function relationship in the target lubrication virtual data model, and multiple candidate inlet oil flow rates that do not satisfy the objective function in the target lubrication virtual data model are not obtained, a lubrication warning is issued for the vehicle gearbox.

[0053] In the embodiment provided in this application, when calculating the real-time data variables using the implicit mapping function relationship in the target lubrication virtual data model, if multiple candidate inlet oil flow rates that satisfy the objective function in the target lubrication virtual data model are not obtained, it indicates that there is an abnormality in the vehicle gearbox at this time, and accurate real-time lubrication control cannot be performed, resulting in a high risk of damage. Therefore, a lubrication warning is issued for the vehicle gearbox at this time to remind the staff to understand the abnormal situation in time and reduce the risk of damage to the vehicle gearbox.

[0054] Please see Figure 6 , Figure 6 This is a schematic flowchart illustrating the application of the provided gearbox lubrication control method in an exemplary embodiment of this application, as shown below. Figure 6As shown, the gearbox lubrication control method is implemented by regulating the on-board gearbox's lubrication virtual data model, data acquisition equipment, oil pump control module, and intelligent early warning module through an intelligent lubrication control system. The specific application process of the gearbox lubrication control method is as follows: A virtual data model of the lubrication of the vehicle gearbox under different operating conditions was constructed. Specifically, such as... Figure 7 As shown, firstly, full parametric modeling is performed: a 3D model of the vehicle gearbox is created; a fluid domain model of the lubricating oil surface at the bottom of the vehicle gearbox under different operating conditions is constructed; based on the 3D model of the gearbox and the fluid domain model of the lubricating oil surface under each operating condition, full parametric fusion is performed to obtain a full parametric model of the fluid domain under each operating condition; then, for each operating condition, the following steps are performed: a two-way coupled simulation is performed on the full parametric model of the fluid domain under that operating condition to obtain a gearbox lubrication simulation model under that operating condition; the gearbox lubrication simulation model is corrected to obtain a gearbox virtual model under that operating condition; the parameters of the gearbox virtual model are optimized to obtain a lubrication virtual simulation model under that operating condition; the lubrication virtual simulation model is trained by fluid simulation to obtain a lubrication virtual numerical model under that operating condition, and finally, the optimal inlet oil flow rate can be output based on the lubrication virtual numerical model.

[0055] Real-time data variables of the vehicle gearbox are collected through external data acquisition equipment: real-time slope angle, real-time roll angle, and real-time inlet oil temperature. The vehicle-mounted gearbox, in conjunction with external data acquisition equipment and a gearbox virtual model, inputs real-time data variables into a target lubrication virtual data model that matches the real-time slope angle and real-time roll angle. It then outputs multiple candidate inlet oil flow rates that satisfy the objective function in the target lubrication virtual data model, thus achieving data transmission and real-time result output.

[0056] Real-time lubrication control: The optimal inlet oil flow rate that satisfies the objective function is calculated using an oil pump control module based on a real-time virtual model of the gearbox response. Specifically, for example... Figure 8 As shown, in the target lubrication virtual data model, the implicit mapping function relationship in the target lubrication virtual data model is used to calculate the real-time data variables to obtain multiple candidate inlet oil flow rates that satisfy the objective function in the target lubrication virtual data model. The minimum value among the multiple candidate inlet oil flow rates is taken as the target inlet oil flow rate corresponding to the real-time data variable. Then, the inlet oil pump of the vehicle gearbox is controlled in real-time according to the target inlet oil flow rate to achieve real-time lubrication control of the vehicle gearbox.

[0057] Intelligent early warning: such as Figure 9 As shown, the intelligent early warning module adjusts the pre-set inlet oil flow rate in the target lubrication virtual data model. When neither can simultaneously satisfy the objective function ( , If multiple candidate inlet oil flow rates cannot be obtained to satisfy the objective function in the target lubrication virtual data model, a lubrication warning will be issued for the vehicle gearbox.

[0058] In summary, the gearbox lubrication control method of this application achieves automated simulation calculations and outputs the optimal solution by combining parameter optimization with full parameter modeling and fluid simulation, and by integrating numerical model training with parameter optimization platform to achieve rapid simulation capability.

[0059] In this way, by combining Fluent and EDEM simulations, the mechanism of lubricant spreading and forming an oil film on the gear surface can be studied in depth. Compared with Fluent simulation alone, it can provide more detailed research and has higher simulation accuracy, accurately calculating oil particle-geometric collisions, springback, energy, and coverage. The transient heat transfer based on discrete particles is particularly accurate. Simultaneously, by experimentally correcting the gearbox lubrication simulation model, the accuracy of the simulation results can be ensured, achieving precise and reliable simulation models. Furthermore, through numerical model training, it no longer relies on simulation calculation data, resulting in a geometric increase in the simulation efficiency of the virtual gearbox model and enabling rapid result output. Then, based on actual vehicle operating conditions, the optimal inlet oil flow rate can be calculated in real time, and the oil pump can be controlled to regulate the oil flow into the gearbox, reducing the energy consumption of oil churning, improving operating efficiency, and extending service life. Moreover, the temperature of the gearbox gears, bearings, and housing can be simulated without the need for sensors inside the gearbox. In addition, an intelligent early warning mode is set up to predict risks in real time and reduce the probability of damage to the vehicle gearbox.

[0060] Please see Figure 10 , Figure 10 A gearbox lubrication control method is illustrated in an exemplary embodiment of this application, such as... Figure 10 As shown, this application provides a gearbox lubrication control system 1000, comprising: Module 1001 is used to build a full-parameter model of the fluid domain of the vehicle gearbox under different operating conditions. The numerical model determination module 1002 is used to obtain the lubrication virtual numerical model for each working condition based on the full parameter model of the fluid domain for each working condition. The real-time data processing module 1003 is used to obtain the target inlet oil flow rate based on multiple lubrication virtual data models under different working conditions and the real-time data variables of the vehicle gearbox. The real-time flow control module 1004 is used to control the inlet oil pump of the vehicle gearbox in real time according to the target inlet lubrication flow rate, so as to realize the real-time lubrication control of the vehicle gearbox.

[0061] The gearbox lubrication control system 1000 of this application first constructs a full-parameter model of the fluid domain of the vehicle gearbox under different operating conditions using a construction module 1001, and then uses a numerical model determination module 1002 to obtain a virtual numerical model of lubrication for each operating condition based on the full-parameter model of the fluid domain under each operating condition. Secondly, a real-time data processing module 1003 obtains the target inlet oil flow rate based on multiple virtual lubrication data models under different operating conditions and real-time data variables of the vehicle gearbox, and a real-time flow control module 1004 performs real-time flow control on the inlet oil pump of the vehicle gearbox according to the target inlet lubrication flow rate, thereby achieving real-time lubrication control of the vehicle gearbox. In this way, by using the virtual numerical model of the on-board gearbox under different operating conditions obtained through pre-simulation, real-time model processing can be performed based on the real-time data variables of the on-board gearbox, and targeted real-time lubrication control of the on-board gearbox can be achieved according to the target inlet oil flow rate obtained from the model processing. This can improve the real-time performance and accuracy of lubrication control. Compared with the method of adding sensors for intelligent gearbox lubrication, the method of this application does not require the addition of sensors, which can not only reduce costs but also improve lubrication reliability.

[0062] Optionally, module 1001 is specifically used for: A 3D model of the vehicle gearbox is obtained by performing a 3D modeling. Construct a fluid domain model of the lubricating oil surface at the bottom of the vehicle gearbox under different operating conditions; The full parameterization of the fluid domain model under each working condition is achieved by fusing the three-dimensional model of the gearbox with the fluid domain model of the lubricating oil surface under each working condition.

[0063] Optionally, the numerical model determination module 1002 is specifically used for: For each operating condition, perform the following steps: A two-way coupled simulation was performed on the full-parameter model of the fluid domain under the working condition to obtain the gearbox lubrication simulation model under the working condition. The gearbox lubrication simulation model was modified to obtain a virtual model of the gearbox under operating conditions. The parameters of the virtual model of the gearbox are optimized to obtain a virtual simulation model of lubrication under working conditions; The lubrication virtual simulation model is trained to obtain a lubrication virtual numerical model under operating conditions.

[0064] Optionally, the numerical model determination module 1002 is specifically used for: The full-parameter model of the fluid domain under the working condition is imported into the preset CFD fluid simulation software for model processing to obtain the first fluid domain model. The full-parameter model of the fluid domain under the working condition is imported into the preset EDEM simulation software for parameter setting to obtain the second fluid domain model. By connecting the CFD fluid simulation software to the EDEM simulation software and activating the coupling function of the EDEM simulation software, as well as the solvers of the CFD fluid simulation software and the EDEM simulation software, a bidirectional coupled calculation of the first fluid domain model and the second fluid domain model is performed to obtain the gearbox lubrication simulation model under the working condition.

[0065] Optionally, the numerical model determination module 1002 is specifically used for: Extract the first temperature parameter from the gearbox lubrication simulation model; The first temperature parameter is compared and verified with the test temperature data under the working condition. If the first temperature parameter and the test temperature data meet the preset temperature difference requirements, the gearbox lubrication simulation model is determined as the gearbox virtual model under the working condition. Otherwise, the parameters of the gearbox lubrication simulation model are corrected to obtain the gearbox lubrication correction model; When the first temperature parameter of the gearbox lubrication correction model meets the temperature difference requirement with the test temperature data, the gearbox lubrication correction model is determined as the virtual gearbox model under the working condition.

[0066] Optionally, the virtual model of the gearbox includes boundary conditions; Numerical model determination module 1002 is specifically used for: Extract the second temperature parameter from the virtual model of the gearbox; The objective function for the inlet oil flow rate of the vehicle gearbox was designed; Based on boundary conditions and the second temperature parameter, the gearbox virtual model is optimized by parameter simulation to obtain the lubrication virtual simulation model, so that the output of the lubrication virtual simulation model satisfies the objective function of multiple simulated inlet oil flow rates.

[0067] Optionally, the numerical model determination module 1002 is specifically used for: Extract simulation parameters and objective functions from the lubrication virtual simulation model; The simulation parameters are used as design variables, and the inlet oil flow rate that satisfies the objective function is used as the output result. The lubrication virtual simulation model is trained to obtain the lubrication virtual numerical model under the working condition. The lubrication virtual numerical model includes the implicit mapping function relationship from the design variables to the output result.

[0068] Optionally, real-time data variables include real-time slope angle, real-time roll angle, and real-time inlet oil temperature; Real-time data processing module 1003 is specifically used for: From multiple lubrication virtual data models under different working conditions, a target lubrication virtual data model matching the real-time slope angle and real-time roll angle is selected. Real-time data variables are input into the target lubrication virtual data model, and the implicit mapping function relationship in the target lubrication virtual data model is used to calculate the real-time data variables to obtain multiple candidate inlet oil flow rates that satisfy the objective function in the target lubrication virtual data model. The minimum value among multiple candidate imported oil flow rates is used as the target imported oil flow rate corresponding to the real-time data variable.

[0069] Optionally, the gearbox lubrication control system 1000 also includes an early warning module; the early warning module is specifically used for: When calculating real-time data variables using the implicit mapping function relationship in the target lubrication virtual data model, and multiple candidate inlet oil flow rates that do not satisfy the objective function in the target lubrication virtual data model are not obtained, a lubrication warning is issued for the vehicle gearbox.

[0070] It should be noted that the gearbox lubrication control system provided in the above embodiments and the gearbox lubrication control method provided in the above embodiments belong to the same concept. The specific operation methods of each module and unit have been described in detail in the method embodiments and will not be repeated here. In practical applications, the gearbox lubrication control system provided in the above embodiments can be assigned to different functional modules as needed, that is, the internal structure of the system can be divided into different functional modules to complete all or part of the functions described above. This is not a limitation here.

[0071] A computing device according to an embodiment of this application includes a memory, a processor, and a program stored in the memory and running on the processor. When the processor executes the program, it implements some or all of the steps of the gearbox lubrication control method described above.

[0072] The computing device can be a computer, and the corresponding program is computer software. The parameters and steps in the computing device described above can be referred to the parameters and steps in the embodiment of the gearbox lubrication control method above, and will not be repeated here.

[0073] This application embodiment provides a computer-readable storage medium storing instructions that, when executed, perform the steps of the gearbox lubrication control method described above. The computer-readable storage medium can be a non-transitory computer-readable storage medium, including 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; it can also be a transitory computer-readable storage medium.

[0074] One embodiment of this application provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the gearbox lubrication control method described above. The technical solution of this disclosure embodiment can be embodied in the form of a software product, which is stored in a storage medium and includes one or more 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 method of this disclosure embodiment.

[0075] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, devices, media, and products according to various embodiments of this application. Each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0076] Those skilled in the art will recognize that this application can be implemented as a system, method, or computer program product. Therefore, this disclosure can be implemented in the following forms: it can be entirely hardware, entirely software (including firmware, resident software, microcode, etc.), or a combination of hardware and software, generally referred to herein as a "module" or "system." Furthermore, in some embodiments, this application can also be implemented as a computer program product contained in one or more computer-readable media, which contains computer-readable program code. Computer-readable storage media can be, for example, but not limited to—electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatuses, or devices, or any combination thereof.

[0077] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0078] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A gearbox lubrication control method, characterized in that, include: Construct a full-parameter model of the fluid domain of the vehicle gearbox under different operating conditions; Based on the full parameter model of the fluid domain under each working condition, a virtual numerical model of lubrication under each working condition is obtained; The target inlet oil flow rate is obtained based on multiple lubrication virtual data models under different working conditions and the real-time data variables of the vehicle gearbox. Real-time flow control of the inlet oil pump of the vehicle gearbox is performed according to the target inlet lubrication flow rate to achieve real-time lubrication control of the vehicle gearbox.

2. The method according to claim 1, characterized in that, The construction of the full-parameter model of the fluid domain of the vehicle gearbox under different operating conditions includes: A 3D model of the vehicle gearbox is obtained by performing a 3D model of the gearbox. Construct a fluid domain model of the lubricating oil surface at the bottom of the vehicle gearbox under different operating conditions; Based on the three-dimensional model of the gearbox and the fluid domain model of the lubricating oil surface under each working condition, a full parameter fusion is performed to obtain a full parameter model of the fluid domain under each working condition.

3. The method according to claim 1, characterized in that, The virtual numerical model of lubrication under each operating condition is obtained based on the full parameter model of the fluid domain under each operating condition, including: For each operating condition, perform the following steps: A bidirectional coupled simulation was performed on the full parameter model of the fluid domain under the aforementioned working condition to obtain the gearbox lubrication simulation model under the aforementioned working condition. The gearbox lubrication simulation model is modified to obtain a virtual gearbox model under the specified working condition; The parameters of the gearbox virtual model are optimized to obtain the lubrication virtual simulation model under the operating condition; The lubrication virtual simulation model is trained to obtain the lubrication virtual numerical model under the specified working condition.

4. The method according to claim 3, characterized in that, The process of performing bidirectional coupled simulation on the full-parameter model of the fluid domain under the aforementioned operating conditions to obtain the gearbox lubrication simulation model under the aforementioned operating conditions includes: The full-parameter model of the fluid domain under the aforementioned working condition is imported into a preset CFD fluid simulation software for model processing to obtain the first fluid domain model. The full-parameter model of the fluid domain under the aforementioned working condition is imported into the preset EDEM simulation software for parameter setting to obtain the second fluid domain model. The CFD fluid simulation software is connected to the EDEM simulation software, and the coupling function of the EDEM simulation software is activated. The solvers of the CFD fluid simulation software and the EDEM simulation software are also activated to perform bidirectional coupled calculations on the first fluid domain model and the second fluid domain model to obtain the gearbox lubrication simulation model under the specified working condition.

5. The method according to claim 3, characterized in that, The step of modifying the gearbox lubrication simulation model to obtain the gearbox virtual model under the specified operating conditions includes: Extract the first temperature parameter from the gearbox lubrication simulation model; The first temperature parameter is compared and verified with the test temperature data under the working condition. If the first temperature parameter and the test temperature data meet the preset temperature difference requirements, the gearbox lubrication simulation model is determined as the gearbox virtual model under the working condition. Otherwise, the parameters of the gearbox lubrication simulation model are corrected to obtain the gearbox lubrication correction model; When the corrected first temperature parameter corresponding to the gearbox lubrication correction model meets the temperature difference requirement with the test temperature data, the gearbox lubrication correction model is determined as the gearbox virtual model under the operating condition.

6. The method according to claim 3, characterized in that, The virtual model of the gearbox includes boundary conditions; The process of optimizing the parameters of the virtual gearbox model to obtain a lubrication virtual simulation model includes: Extract the second temperature parameter from the virtual model of the gearbox; The objective function for the inlet oil flow rate of the vehicle gearbox was designed; Based on the boundary conditions and the second temperature parameter, the gearbox virtual model is optimized by parameter simulation to obtain a lubrication virtual simulation model, so that the lubrication virtual simulation model outputs multiple simulated inlet oil flow rates that satisfy the objective function.

7. The method according to claim 3, characterized in that, The step of training the lubrication virtual simulation model to obtain the lubrication virtual numerical model under the operating condition includes: Extract the simulation parameters and objective function from the lubrication virtual simulation model; The simulation parameters are used as design variables, and the inlet oil flow rate that satisfies the objective function is used as the output result. The lubrication virtual simulation model is trained to obtain the lubrication virtual numerical model under the working condition. The lubrication virtual numerical model includes the implicit mapping function relationship from the design variables to the output result.

8. The method according to any one of claims 1 to 7, characterized in that, The real-time data variables include real-time slope angle, real-time tilt angle, and real-time inlet oil temperature; The process of obtaining the target inlet oil flow rate based on multiple lubrication virtual data models under different operating conditions and the real-time data variables of the vehicle gearbox includes: From multiple lubrication virtual data models under different working conditions, a target lubrication virtual data model matching the real-time slope angle and the real-time roll angle is selected. The real-time data variables are input into the target lubrication virtual data model, and the implicit mapping function relationship in the target lubrication virtual data model is used to calculate the real-time data variables to obtain multiple candidate inlet oil flow rates that satisfy the objective function in the target lubrication virtual data model. The minimum value among the multiple candidate inlet oil flow rates is taken as the target inlet oil flow rate corresponding to the real-time data variable.

9. The method according to claim 8, characterized in that, The method further includes: When the real-time data variables are calculated using the implicit mapping function relationship in the target lubrication virtual data model, and multiple candidate inlet oil flow rates that satisfy the objective function in the target lubrication virtual data model are not obtained, a lubrication warning is issued for the vehicle gearbox.

10. A gearbox lubrication control system, characterized in that, include: The building module is used to build a full-parameter model of the fluid domain of the vehicle gearbox under different operating conditions; The numerical model determination module is used to obtain the lubrication virtual numerical model for each working condition based on the full parameter model of the fluid domain for each working condition. The real-time data processing module is used to obtain the target inlet oil flow rate based on multiple lubrication virtual data models under different working conditions and the real-time data variables of the vehicle gearbox. The real-time flow control module is used to control the inlet oil pump of the vehicle gearbox in real time according to the target inlet lubrication flow rate, so as to realize the real-time lubrication control of the vehicle gearbox.

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