Engineering vehicle transmission system efficiency prediction method based on data driving

Abstract

The invention discloses an engineering vehicle transmission system efficiency prediction method based on data driving. The method comprises the following steps: S1, constructing an engineering vehicle transmission system simulation model; s2, setting boundary parameters of the engineering vehicle transmission system simulation model; wherein the boundary parameters comprise the load weight and the target rotating speed of the engine; s3, performing iterative solution on the engineering vehicle transmission system simulation model with the set boundary parameters to obtain parameters required by the efficiency of the engineering vehicle transmission system; s4, calculating the efficiency of the engineering vehicle transmission system based on the parameters required by the efficiency of the engineering vehicle transmission system; and S5, modifying the target rotating speed of the engine and the load weight, and repeatedly executing the steps S3-S4 to obtain the transmission system efficiency of the engineering vehicle under different target rotating speeds of the engine and different load weights. The method is low in prediction cost, short in period and high in accuracy.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering vehicles, and more specifically, to a method for predicting the efficiency of an engineering vehicle transmission system based on data driving. Background Art

[0002] Low efficiency of the transmission system of engineering vehicles (such as excavators, loaders, mining trucks, etc.) will affect the vehicle's acceleration, climbing, or load capacity. Predicting the efficiency of the engineering vehicle transmission system can provide data support for the maintenance of engineering vehicles and reduce unplanned downtime.

[0003] Existing methods for predicting the efficiency of engineering vehicle transmission systems mostly rely on physical tests, which not only have high costs and long cycles, but also are difficult to cover complex dynamic working conditions. Moreover, the prediction methods based on simulation models mostly ignore the multi-physical field coupling effects (such as viscous losses), resulting in low prediction accuracy and difficulty in supporting preventive maintenance.

[0004] Therefore, how to provide a method for predicting the efficiency of an engineering vehicle transmission system, which not only has low prediction costs and short cycles, but also has high prediction accuracy, is an urgent problem to be solved by those skilled in the art. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to provide a method for predicting the efficiency of an engineering vehicle transmission system based on data driving.

[0006] To achieve the above purpose, the present invention adopts the following technical solutions:

[0007] In the first aspect, a method for predicting the efficiency of an engineering vehicle transmission system based on data driving is provided, including the following steps:

[0008] S1: Construct a simulation model of the engineering vehicle transmission system; wherein, the simulation model of the engineering vehicle transmission system includes an engine model, a torque converter model, a gearbox model, a drive axle model, a vehicle body model, and a speed-torque detection unit;

[0009] S2: Set the boundary parameters of the simulation model of the engineering vehicle transmission system; wherein, the boundary parameters include the load weight and the engine target speed;

[0010] S3: Perform iterative solution on the simulation model of the engineering vehicle transmission system with the boundary parameters set, to obtain the parameters required for the efficiency of the engineering vehicle transmission system;

[0011] S4: Calculate the efficiency of the engineering vehicle transmission system based on the parameters required for the efficiency of the engineering vehicle transmission system;

[0012] S5: Modify the target engine speed and the load weight, and repeat steps S3 - S4 to obtain the transmission system efficiency of the engineering vehicle under different target engine speeds and different load weights.

[0013] Preferably, the engine model, the torque converter model, the gearbox model, the drive axle model, and the vehicle body model are connected in sequence;

[0014] The torque converter model includes a pump impeller, a turbine, and a stator;

[0015] The gearbox model includes a planetary gear system, a clutch, an intermediate gear, an output shaft gear, and a clutch cylinder pressure control module; wherein, the planetary gear system includes two planetary rows, and each planetary row includes a sun gear, a ring gear, and a planet carrier; the clutch includes an oil cylinder, steel sheets, a return spring, and friction plates;

[0016] The drive axle model includes a front axle and a rear axle; wherein, both the front axle and the rear axle include a main reducer, a differential, and a wheel side reducer;

[0017] The vehicle body model includes four tires and a vehicle body.

[0018] Preferably, the speed - torque detection unit includes a first speed - torque detection module, a second speed - torque detection module, a third speed - torque detection module, and a fourth speed - torque detection module; wherein, the first speed - torque detection module is used to detect the speed and torque of the pump impeller; the second speed - torque detection module is used to detect the speed and torque of the turbine; the third speed - torque detection module is used to detect the speed and torque of the output shaft gear; the fourth speed - torque detection module is used to detect the torque and speed of the four tires.

[0019] Preferably, the boundary parameters specifically include engine parameters, torque converter parameters, gearbox parameters, drive axle parameters, and vehicle body parameters:

[0020] The engine parameters include the target engine speed, the maximum engine power, the speed corresponding to the maximum engine power, the maximum engine speed, and the engine idle speed;

[0021] The torque converter parameters include a speed ratio vector, a torque ratio vector, and an energy capacity coefficient vector;

[0022] The gearbox parameters include the gear ratios of gear components, the meshing efficiency, the viscous loss coefficient, and the moment of inertia; wherein, the gear components include a sun gear, a ring gear, a planet carrier, an intermediate gear, and an output shaft gear;

[0023] The transmission parameters further include clutch parameters; the clutch parameters include the inner diameter of the friction surface, the outer diameter of the friction surface, the number of friction surfaces, the cross-sectional area of the oil cylinder, the dynamic friction coefficient, the static friction coefficient, the starting pressure of the oil cylinder, and the viscous loss coefficient of the friction surface;

[0024] The transmission parameters further include oil cylinder pressure control parameters; the oil cylinder pressure control parameters include the time nodes of different pressure segments, the pressure change rate, and the gear control parameters;

[0025] The drive axle parameters include the main reducer ratio, the wheel side reducer ratio, the meshing efficiency of the main reducer, the viscous loss coefficient of the main reducer, the meshing efficiency of the wheel side reducer, and the viscous loss coefficient of the wheel side reducer;

[0026] The vehicle body parameters include tire parameters and vehicle body parameters; the tire parameters include the tire rolling radius, the tire rolling resistance coefficient, the static friction coefficient, the dynamic friction coefficient, the longitudinal dynamic stiffness, and the longitudinal dynamic damping; the vehicle body parameters include the load weight, the vehicle body mass, the number of drive axles, the distance between the drive axle and the vehicle body center of gravity, the vehicle body center of gravity height, the gravitational acceleration, the wind resistance coefficient, and the vehicle body frontal area.

[0027] Preferably, the parameters required for the engineering vehicle transmission system efficiency include the rotational speed and torque of the pump impeller, the rotational speed and torque of the turbine, the rotational speed and torque of the output shaft gear, and the rotational speed and torque of the four tires.

[0028] Preferably, the engineering vehicle transmission system efficiency is obtained based on the following formula:

[0029] ;

[0030] Wherein, represents the engineering vehicle transmission system efficiency; represents the torque converter efficiency; represents the transmission efficiency; represents the drive axle efficiency.

[0031] Preferably, the calculation formulas for the torque converter efficiency, the transmission efficiency, and the drive axle efficiency are:

[0032] ;

[0033] ;

[0034] ;

[0035] Wherein, successively represent the rotational speed and torque of the turbine; successively represent the rotational speed and torque of the pump impeller; successively represent the rotational speed and torque of the sun gear; successively represent the rotational speeds of the four tires; successively represent the torques of the four tires; successively represent the rotational speed and torque of the output shaft gear.

[0036] In a second aspect, an electronic device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, it implements a method for predicting the efficiency of an engineering vehicle transmission system based on data as described above.

[0037] In a third aspect, a non-transitory computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, it implements a method for predicting the efficiency of an engineering vehicle transmission system based on data as described above.

[0038] In a fourth aspect, a computer program product is provided, including a computer program. When the computer program is executed by a processor, it implements a method for predicting the efficiency of an engineering vehicle transmission system based on data as described above.

[0039] As can be seen from the above technical solutions, compared with the prior art, the present invention discloses a method for predicting the efficiency of an engineering vehicle transmission system based on data, which not only has a low prediction cost and a short cycle, but also has a high prediction accuracy, and can provide good data support for the preventive maintenance of engineering vehicles. Description of the Drawings

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only the embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative efforts.

[0041] Figure 1 is a flowchart of a method for predicting the efficiency of an engineering vehicle transmission system based on data provided by the present invention;

[0042] Figure 2 is a partial physical structure diagram of an engineering vehicle transmission system provided by the present invention;

[0043] Figure 3 is a schematic diagram of a simulation model of an engineering vehicle transmission system constructed by Matlab / Simscape provided by the present invention;

[0044] Figure 4Schematic diagram of the transmission model constructed by Matlab / Simscape provided by the present invention;

[0045] Figure 5 Schematic diagram of the drive axle model and the body model constructed by Matlab / Simscape provided by the present invention;

[0046] Figure 6 Schematic diagram of the clutch cylinder pressure control module constructed by Matlab / Simscape provided by the present invention;

[0047] Figure 7 Schematic diagram of an electronic device provided in an embodiment of the present invention. Detailed implementation manners

[0048] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0049] On the one hand, as Figure 1 shown, an embodiment of the present invention discloses a method for predicting the efficiency of an engineering vehicle transmission system based on data driving, including the following steps:

[0050] S1: Construct a simulation model of the engineering vehicle transmission system; wherein, the simulation model of the engineering vehicle transmission system includes an engine model, a torque converter model, a transmission model, a drive axle model, a body model, and a speed and torque detection unit;

[0051] It can be understood that: the simulation model of the engineering vehicle transmission system constructed by the present invention through MATLAB / Simscape.

[0052] In a certain embodiment, as Figure 2 shown, the engine model, the torque converter model, the transmission model, the drive axle model, and the body model are connected in sequence;

[0053] The torque converter model includes a pump impeller, a turbine, and a stator;

[0054] The transmission model includes a planetary gear system, a clutch, an intermediate gear, an output shaft gear, and a clutch cylinder pressure control module; wherein, the planetary gear system includes two planetary rows, and each planetary row includes a sun gear, a ring gear, and a planet carrier; the clutch includes an oil cylinder, steel sheets, a return spring, and friction plates;

[0055] It can be understood that: the clutch cylinder pressure control module includes a clutch pressure change rate control module for controlling the clutch pressure change rate.

[0056] The drive axle model includes a front axle and a rear axle; wherein, both the front axle and the rear axle include a main reducer, a differential, and a wheel side reducer;

[0057] The vehicle body model includes four tires and a vehicle body.

[0058] It can be understood that:

[0059] Figure 2 This is a partial physical structure diagram of the transmission system of the engineering vehicle of the present invention, including a front axle 1-1, a rear axle 1-2, an engine 2, a hydraulic torque converter 3, an automatic transmission 4, and a vehicle body 5;

[0060] Figure 3 This is a schematic diagram of the simulation model of the transmission system of the engineering vehicle constructed by Matlab / Simscape of the present invention, including an engine model, a torque converter model, a transmission model, a drive axle model, a vehicle body model, and a speed and torque detection unit;

[0061] Figure 4 This is a structural schematic diagram of the transmission model constructed by Matlab / Simscape of the present invention, including a clutch 11, a planetary gear set 12, an intermediate gear & output shaft gear 13;

[0062] Figure 5 This is a structural schematic diagram of the drive axle model and the vehicle body model constructed by Matlab / Simscape of the present invention, including a main reducer & differential 19, a wheel side reducer 18, a tire 17, and a vehicle body 16.

[0063] Figure 6 This is a structural schematic diagram of the clutch cylinder pressure control module 14 constructed by Matlab / Simscape of the present invention, including a clutch pressure change rate control module 15;

[0064] It can be understood that:

[0065] The engine model of the present invention is constructed based on the engine 2; the torque converter model is constructed based on the hydraulic torque converter 3, and the transmission model is constructed based on the automatic transmission 4; the drive axle model is constructed based on the front axle 1-1 and the rear axle 1-2; the vehicle body model is constructed based on the vehicle body 5;

[0066] It can be understood that:

[0067] 1) The performance parameters of the engine 2 are determined by the power spectrum curve measured through experiments. The power spectrum curve refers to the function relationship diagram between the engine output power and the rotational speed under specific working conditions (such as full throttle and stable intake conditions), and usually characterizes the external characteristics of the engine together with the torque curve.

[0068] 2) The hydraulic torque converter 3 consists of a pump impeller, a turbine, and a stator, transmits power through fluid, and has functions of torque amplification, shock absorption, and automatic clutch, and is one of the core components of the automatic transmission.

[0069] 3) The automatic transmission 4 includes a planetary gear system, a clutch (a wet clutch is adopted in the present invention), an intermediate gear, an output shaft gear (bearings and sealing elements are ignored due to relatively small power losses), and a clutch cylinder pressure control module.

[0070] 3.1 The planetary gear system includes two planetary rows. The two planetary rows (the two planetary rows are respectively called the first planetary row and the second planetary row) share a sun gear, and the ring gear of the first planetary row and the planet carrier of the second planetary row are rigidly connected; the planet carrier of the first planetary row and the ring gear of the second planetary row are respectively equipped with wet clutches.

[0071] 3.2 The wet clutch consists of elements such as steel sheets, friction plates, return springs, and cylinders, and is used to change the power transmission path of the planetary gear system. The planet carrier of the second planetary row is rigidly connected to the intermediate gear, and the power from the intermediate gear is transmitted to the drive axles (front axle 1-1 and rear axle 1-2) through the output shaft gear.

[0072] 3.3 The clutch cylinder pressure control module can control the pressure acting on the friction plate in a user-defined manner, so that it rises / falls at a predetermined rate, thereby controlling the energy transmission of the clutch and the gear position of the automatic transmission.

[0073] 4) The front axle 1-1 and the rear axle 1-2 are key parts of the transmission system, responsible for power transmission, speed reduction and torque increase, and differential distribution. Both the front axle 1-1 and the rear axle 1-2 consist of a main reducer, a differential, and a wheel side reducer. The wheel side reducer is a single planetary row with the sun gear as the input, the ring gear fixed, and the planet carrier as the output.

[0074] 5) The vehicle body 5 includes four tires and a vehicle body ( Figure 3 the vehicle body is not shown herein)

[0075] In a certain embodiment, such as Figure 3As shown: The speed and torque detection unit includes a first speed and torque detection module, a second speed and torque detection module, a third speed and torque detection module, and a fourth speed and torque detection module; wherein, the first speed and torque detection module is used to detect the rotational speed and torque of the pump impeller; the second speed and torque detection module is used to detect the rotational speed and torque of the turbine; the third speed and torque detection module is used to detect the rotational speed and torque of the output shaft gear; the fourth speed and torque detection module is used to detect the torque and rotational speed of the four tires.

[0076] S2: Set the boundary parameters of the construction vehicle transmission system simulation model; wherein, the boundary parameters include the load weight and the engine target rotational speed;

[0077] In a certain embodiment, the boundary parameters specifically include engine parameters, torque converter parameters, transmission parameters, drive axle parameters, and vehicle body parameters:

[0078] The engine parameters include the engine target rotational speed, the maximum engine power, the rotational speed corresponding to the maximum engine power, the maximum engine rotational speed, and the engine idle speed;

[0079] The torque converter parameters include the speed ratio vector, the torque ratio vector, and the energy capacity coefficient vector;

[0080] The transmission parameters include the gear ratios of the gear components, the meshing efficiency, the viscous loss coefficient, and the moment of inertia; wherein, the gear components include the sun gear, the ring gear, the planet carrier, the intermediate gear, and the output shaft gear;

[0081] It can be understood that: Two planetary rows in the transmission model share a common sun gear, so the gear components specifically include the common sun gear, the gears of the two planetary rows respectively, and the planet carriers of the two planetary rows respectively.

[0082] The transmission parameters also include clutch parameters; the clutch parameters include the inner diameter of the friction surface, the outer diameter of the friction surface, the number of friction surfaces, the cross-sectional area of the oil cylinder, the dynamic friction coefficient, the static friction coefficient, the starting pressure of the oil cylinder, and the viscous loss coefficient of the friction surface;

[0083] The transmission parameters also include oil cylinder pressure control parameters; the oil cylinder pressure control parameters include the time nodes of different pressure segments, the pressure change rate, and the gear control parameters;

[0084] It can be understood that: The gear control parameters are used to select the oil cylinders to be controlled, that is, to select which oil cylinders to control.

[0085] The drive axle parameters include the main reducer ratio, the wheel side reducer ratio, the main reducer meshing efficiency, the main reducer viscous loss coefficient, the wheel side reducer meshing efficiency, and the wheel side reducer viscous loss coefficient;

[0086] The vehicle body parameters include tire parameters and vehicle body parameters; the tire parameters include tire rolling radius, tire rolling resistance coefficient, static friction coefficient, dynamic friction coefficient, longitudinal dynamic stiffness, and longitudinal dynamic damping; the vehicle body parameters include the load weight, vehicle body mass, number of drive axles, distance between the drive axle and the vehicle body center of gravity, vehicle body center of gravity height, gravitational acceleration, wind resistance coefficient, and vehicle body frontal area.

[0087] It can be understood that the boundary parameters may further include slope parameters; specifically, a slope parameter ranging from 0 to 1 is input to simulate the slope of the whole vehicle operation.

[0088] It can be understood that each meshing efficiency and viscous loss coefficient in the boundary parameters of the present invention are determined by quantifying the power losses of each component through empirical equations.

[0089] The calculation formulas for the power losses of each component are shown in the following table:

[0090]

[0091] S3: Perform iterative solution on the simulation model of the construction vehicle transmission system with the boundary parameters set, to obtain the parameters required for the construction vehicle transmission system efficiency;

[0092] It can be understood that the present invention performs iterative solution through the built-in solver of MATLAB / Simscape, the initial time of the solution is 0.001 s, and the fixed iterative time step is 0.005 s.

[0093] The present invention automatically selects the solver through MATLAB / Simscape. After the iteration is completed, the rationality of the calculation results is analyzed through an oscilloscope and the calculation results are exported to the workspace.

[0094] In a certain embodiment, the parameters required for the construction vehicle transmission system efficiency include the rotational speed and torque of the pump impeller, the rotational speed and torque of the turbine, the rotational speed and torque of the output shaft gear, and the rotational speed and torque of the four tires.

[0095] S4: Calculate the construction vehicle transmission system efficiency based on the parameters required for the construction vehicle transmission system efficiency;

[0096] In a certain embodiment, the construction vehicle transmission system efficiency is obtained based on the following formula:

[0097] ;

[0098] ;

[0099] ;

[0100] ;

[0101] wherein, represents the efficiency of the transmission system of the construction vehicle; represents the efficiency of the torque converter; represents the efficiency of the gearbox; represents the efficiency of the drive axle; successively represent the rotational speed and torque of the turbine; successively represent the rotational speed and torque of the pump impeller; successively represent the rotational speed and torque of the sun gear (which can be directly read from the engine); successively represent the rotational speeds of the four tires; successively represent the torques of the four tires; successively represent the rotational speed and torque of the output shaft gear.

[0102] S5: Modify the target engine speed and the load weight, and repeat the execution of S3 - S4 to obtain the efficiency of the transmission system of the construction vehicle under different target engine speeds and different load weights.

[0103] On the other hand, the present invention also provides an electronic device, as Figure 7 shown, the electronic device may include: a processor 701, a communication interface 702, a memory 703, and a communication bus 704, wherein the processor 701, the communication interface 702, and the memory 703 complete mutual communication through the communication bus 704. The processor 701 can call the logical instructions in the memory 703 to execute a method for predicting the efficiency of the transmission system of a construction vehicle based on data driving.

[0104] In addition, when the logical instructions in the above - mentioned memory 703 are implemented in the form of software functional units and sold or used as an independent product, they can be stored in a computer - readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. And the aforementioned storage medium includes: USB flash drives, mobile hard disks, read - only memories (ROM, Read - Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs and other various media that can store program codes.

[0105] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute a data-driven engineering vehicle transmission system efficiency prediction method provided by each of the above methods.

[0106] In another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is implemented to execute a data-driven engineering vehicle transmission system efficiency prediction method provided by each of the above methods.

[0107] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0108] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0109] Each embodiment in this specification is described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. The same or similar parts among the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method part.

[0110] The foregoing description of the disclosed embodiments enables those skilled in the art to practice or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A data-driven method for predicting the efficiency of an engineering vehicle transmission system, characterized in that It includes the following steps: S1: Construct a simulation model of the engineering vehicle transmission system; wherein, the simulation model of the engineering vehicle transmission system includes an engine model, a torque converter model, a gearbox model, a drive axle model, a vehicle body model and a speed-torque detection unit; S2: Set the boundary parameters of the simulation model of the engineering vehicle transmission system; wherein, the boundary parameters include the load weight and the engine target speed; S3: Perform iterative solution on the simulation model of the engineering vehicle transmission system with the boundary parameters set, to obtain the parameters required for the efficiency of the engineering vehicle transmission system; S4: Calculate the efficiency of the engineering vehicle transmission system based on the parameters required for the efficiency of the engineering vehicle transmission system; S5: Modify the engine target speed and the load weight, and repeat steps S3 - S4 to obtain the efficiency of the engineering vehicle transmission system under different engine target speeds and different load weights.

2. The method for predicting the efficiency of an engineering vehicle transmission system based on data driving according to claim 1, characterized in that, The engine model, the torque converter model, the gearbox model, the drive axle model, and the vehicle body model are connected in sequence; The torque converter model includes a pump impeller, a turbine and a stator; The gearbox model includes a planetary gear system, a clutch, an intermediate gear, an output shaft gear and a clutch cylinder pressure control module; wherein, the planetary gear system includes two planetary rows, and each planetary row includes a sun gear, a ring gear and a planet carrier; the clutch includes an oil cylinder, steel sheets, a return spring and friction plates; The drive axle model includes a front axle and a rear axle; wherein, both the front axle and the rear axle include a main reducer, a differential and a wheel side reducer; The vehicle body model includes four tires and a vehicle body.

3. A method for predicting the efficiency of an engineering vehicle transmission system based on data driving according to claim 2, characterized in that, The speed-torque detection unit includes a first speed-torque detection module, a second speed-torque detection module, a third speed-torque detection module and a fourth speed-torque detection module; wherein, the first speed-torque detection module is used to detect the speed and torque of the pump impeller; the second speed-torque detection module is used to detect the speed and torque of the turbine; the third speed-torque detection module is used to detect the speed and torque of the output shaft gear; the fourth speed-torque detection module is used to detect the torque and speed of the four tires.

4. A data-driven prediction method for the efficiency of an engineering vehicle transmission system according to claim 3, characterized in that The boundary parameters specifically include engine parameters, torque converter parameters, gearbox parameters, drive axle parameters, vehicle body parameters: The engine parameters include the engine target speed, the maximum engine power, the speed corresponding to the maximum engine power, the maximum engine speed and the engine idle speed; The torque converter parameters include a speed ratio vector, a torque ratio vector and an energy capacity coefficient vector; The gearbox parameters include the gear ratios of the gear components, the meshing efficiency, the viscous loss coefficient and the moment of inertia; wherein, the gear components include the sun gear, the ring gear, the planet carrier, the intermediate gear and the output shaft gear; The gearbox parameters also include clutch parameters; the clutch parameters include the inner diameter of the friction surface, the outer diameter of the friction surface, the number of friction surfaces, the cross-sectional area of the oil cylinder, the dynamic friction coefficient, the static friction coefficient, the starting pressure of the oil cylinder and the viscous loss coefficient of the friction surface; The gearbox parameters also include oil cylinder pressure control parameters; the oil cylinder pressure control parameters include the time nodes of different pressure segments, the pressure change rate and the gear control parameters; The parameters of the drive axle include the reduction ratio of the main reducer, the reduction ratio of the wheel-end reducer, the meshing efficiency of the main reducer, the viscous loss coefficient of the main reducer, the meshing efficiency of the wheel-end reducer, and the viscous loss coefficient of the wheel-end reducer; The parameters of the vehicle body include tire parameters and vehicle body parameters; the tire parameters include the tire rolling radius, the tire rolling resistance coefficient, the static friction coefficient, the dynamic friction coefficient, the longitudinal dynamic stiffness, and the longitudinal dynamic damping; the vehicle body parameters include the load weight, the vehicle body mass, the number of drive axles, the distance between the drive axle and the vehicle body center of gravity, the vehicle body center of gravity height, the gravitational acceleration, the wind resistance coefficient, and the vehicle body frontal area.

5. A method for predicting the efficiency of an engineering vehicle transmission system based on data driving according to claim 3, characterized in that, The parameters required for the efficiency of the construction vehicle transmission system include the rotational speed and torque of the pump impeller, the rotational speed and torque of the turbine, the rotational speed and torque of the output shaft gear, and the rotational speed and torque of the four tires.

6. The method for predicting the efficiency of an engineering vehicle transmission system based on data driving according to claim 5, wherein, The efficiency of the construction vehicle transmission system is obtained based on the following formula: ； Among them, represents the efficiency of the engineering vehicle transmission system; represents the efficiency of the torque converter; represents the efficiency of the gearbox; represents the efficiency of the drive axle.

7. A method for predicting the efficiency of an engineering vehicle transmission system based on data driving according to claim 6, characterized in that, The calculation formulas for the torque converter efficiency, the transmission efficiency, and the drive axle efficiency are: ； ； ； wherein, successively represent the rotational speed and torque of the turbine; successively represent the rotational speed and torque of the pump impeller; successively represent the rotational speed and torque of the sun gear; successively represent the rotational speeds of the four tires; successively represent the torques of the four tires; successively represent the rotational speed and torque of the output shaft gear.

8. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements a data-driven method for predicting the efficiency of the construction vehicle transmission system according to any one of claims 1 to 7.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements a data-driven method for predicting the efficiency of the construction vehicle transmission system according to any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements a data-driven method for predicting the efficiency of the construction vehicle transmission system according to any one of claims 1 to 7.

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