A data-driven method for predicting the efficiency of engineering vehicle transmission systems

Abstract

The present invention discloses a data-driven method for predicting the efficiency of an engineering vehicle transmission system, comprising the following steps: S1: constructing an engineering vehicle transmission system simulation model; S2: setting boundary parameters for the engineering vehicle transmission system simulation model, wherein the boundary parameters include load weight and engine target speed; S3: iteratively solving the engineering vehicle transmission system simulation model with the set boundary parameters to obtain parameters required for the engineering vehicle transmission system efficiency; S4: calculating the engineering vehicle transmission system efficiency based on the parameters required for the engineering vehicle transmission system efficiency; S5: modifying the engine target speed and the load weight, and repeating S3-S4 to obtain the engineering vehicle transmission system efficiency under different engine target speeds and load weights. The present invention has low prediction cost, short cycle time, and high accuracy.

Description

Technical Field

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

[0002] Inefficient drivetrains in construction vehicles (such as excavators, loaders, and mining trucks) can affect vehicle acceleration, gradeability, and load-carrying capacity. Predicting drivetrain efficiency can provide data support for maintenance and reduce unplanned downtime.

[0003] Existing methods for predicting the efficiency of engineering vehicle transmission systems rely heavily on physical testing, which is not only costly and time-consuming, but also lacks coverage for complex dynamic operating conditions. Simulation-based prediction methods often overlook multi-physics coupling effects (such as viscous losses), resulting in low prediction accuracy and difficulty supporting preventive maintenance.

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

[0005] In view of this, an object of the present invention is to provide a data-driven method for predicting the efficiency of an engineering vehicle transmission system.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] In a first aspect, a data-driven method for predicting the efficiency of an engineering vehicle transmission system is provided, comprising the following steps:

[0008] S1: Constructing a simulation model of an 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 body model and a speed and torque detection unit;

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

[0010] S3: Iteratively solving the engineering vehicle transmission system simulation model with set boundary parameters to obtain parameters required for the engineering vehicle transmission system efficiency;

[0011] S4: Calculating 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 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 wheel, a turbine wheel and a stator wheel;

[0015] 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 gears, each planetary gear includes a sun gear, a ring gear, and a planet carrier; the clutch includes a cylinder, a steel plate, a return spring, and a friction plate;

[0016] The drive axle model includes a front axle and a rear axle; wherein the front axle and the rear axle both 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 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; and 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 ratio, meshing efficiency, viscous loss coefficient and moment of inertia of the gear components; wherein the gear components include a sun gear, a ring gear, a planet carrier, an intermediate gear and an output shaft gear;

[0023] 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 oil cylinder starting pressure and the viscous loss coefficient of the friction surface;

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

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

[0026] 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 center of gravity of the vehicle body, height of the center of gravity of the vehicle body, gravitational acceleration, wind resistance coefficient and vehicle body frontal area.

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

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

[0029] ;

[0030] in, Indicates the efficiency of the transmission system of engineering vehicles; Indicates the torque converter efficiency; Indicates the gearbox efficiency; Indicates the drive axle efficiency.

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

[0032] ;

[0033] ;

[0034] ;

[0035] in, In turn, the rotational speed and torque of the turbine are represented; In turn, the rotational speed and torque of the pump wheel are represented; In turn, they represent the rotational speed and torque of the sun gear; Indicates the rotation speeds of the four tires in sequence; Indicates the torques of the four tires in sequence; Indicate the speed and torque of the output shaft gear in turn.

[0036] In a second aspect, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for predicting the efficiency of a transmission system of an engineering vehicle based on data-driven means is implemented 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, the method for predicting the efficiency of a transmission system of an engineering vehicle based on data-driven is implemented as described above.

[0038] In a fourth aspect, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the method for predicting the efficiency of a transmission system of an engineering vehicle based on data-driven means is implemented as described above.

[0039] It can be seen from the above technical solution that, compared with the prior art, the present invention discloses a data-driven method for predicting the efficiency of the transmission system of engineering vehicles, which not only has low prediction cost and short cycle, but also high prediction accuracy, and can provide good data support for the preventive maintenance of engineering vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0041] Figure 1 A flowchart of a data-driven engineering vehicle transmission system efficiency prediction method provided by the present invention;

[0042] Figure 2 A partial physical structural diagram of the engineering vehicle transmission system provided by the present invention;

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

[0044] Figure 4A schematic diagram of the structure of the gearbox model constructed by Matlab / Simscape provided by the present invention;

[0045] Figure 5 This is a schematic diagram of the drive axle model and vehicle body model constructed using Matlab / Simscape provided by Fang Ming;

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

[0047] Figure 7 A schematic diagram of an electronic device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0049] On the one hand, if Figure 1 As shown, an embodiment of the present invention discloses a data-driven method for predicting the efficiency of an engineering vehicle transmission system, comprising the following steps:

[0050] S1: Constructing a simulation model of an 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 body model and a speed and torque detection unit;

[0051] It can be understood that the present invention uses MATLAB / Simscape to construct a simulation model of the engineering vehicle transmission system.

[0052] In one embodiment, if Figure 2 As shown, the engine model, the torque converter model, the gearbox model, the drive axle model, and the vehicle body model are connected in sequence;

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

[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 gears, each planetary gear includes a sun gear, a ring gear, and a planet carrier; the clutch includes a cylinder, a steel plate, a return spring, and a friction plate;

[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 the front axle and the rear axle both 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 is understandable that:

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

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

[0061] Figure 4 Schematic diagram of the gearbox model constructed by Matlab / Simscape in the present invention, including a clutch 11, a planetary gear 12, an intermediate gear and an output shaft gear 13;

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

[0063] Figure 6 Schematic diagram of the structure of the clutch cylinder pressure control module 14 constructed by Matlab / Simscape in the present invention, including the clutch pressure change rate control module 15;

[0064] It is understandable 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; 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 is understandable that:

[0067] 1) The performance parameters of the engine 2 are determined by an experimentally measured power spectrum curve. The power spectrum curve refers to a functional relationship between engine output power and speed under specific operating conditions (such as full throttle and stable intake conditions). It usually represents the external characteristics of the engine together with the torque curve.

[0068] 2) The torque converter 3 is composed of a pump wheel, a turbine wheel and a guide wheel. It transmits power through fluid and has torque amplification, shock absorption and automatic clutch functions. It 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 used in the present invention), an intermediate gear, an output shaft gear (bearings and sealing elements are ignored due to their small power loss) and a clutch cylinder pressure control module.

[0070] 3.1 The planetary gear system includes two planetary gears (referred to as the first planetary gear and the second planetary gear, respectively). The two planetary gears share a common sun gear, and the ring gear of the first planetary gear and the planetary carrier of the second planetary gear are rigidly connected. The planetary carrier of the first planetary gear and the ring gear of the second planetary gear are each equipped with a wet clutch.

[0071] 3.2 The wet clutch, consisting of steel plates, friction plates, return springs, and a hydraulic cylinder, is used to change the power transmission path of the planetary gear system. The planetary carrier of the second planetary gear is rigidly connected to the intermediate gear. Power from the intermediate gear is transmitted to the drive axles (front axle 1-1 and rear axle 1-2) via 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, causing it to increase / decrease pressure 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 rear axle 1-2 are key components of the transmission system, responsible for power transmission, torque reduction, and differential distribution. Each axle 1-1 and rear axle 1-2 consist of a final drive, a differential, and a wheel-end reduction gear. The wheel-end reduction gear is a single planetary gearbox with a sun gear input, a fixed ring gear, and a planetary carrier output.

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

[0075] In one embodiment, if Figure 3As shown: 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 wheel; 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.

[0076] S2: setting boundary parameters of the engineering vehicle transmission system simulation model; wherein the boundary parameters include load weight and engine target speed;

[0077] In one 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 target engine speed, the maximum engine power, the speed corresponding to the maximum engine power, the maximum engine speed and the engine idle speed;

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

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

[0081] It can be understood that the two planetary gears in the gearbox model share a sun gear, so the gear components specifically include the shared sun gear, respective gears of the two planetary gears, and respective planetary carriers of the two planetary gears.

[0082] 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 oil cylinder starting pressure and the viscous loss coefficient of the friction surface;

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

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

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

[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 center of gravity of the vehicle body, height of the center of gravity of the vehicle body, gravitational acceleration, wind resistance coefficient and vehicle body frontal area.

[0087] It is understandable that the boundary parameter may also include a slope parameter; specifically, a slope parameter of 0-1 is input to simulate the slope of the entire vehicle.

[0088] It can be understood that the various meshing efficiencies and viscous loss coefficients in the boundary parameters of the present invention are determined by quantifying the power loss of various components through empirical equations.

[0089] The calculation formula for the power loss of each component is shown in the following table:

[0090]

[0091] S3: Iteratively solving the engineering vehicle transmission system simulation model with set boundary parameters to obtain parameters required for the engineering vehicle transmission system efficiency;

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

[0093] The present invention automatically selects a solver through MATLAB / Simscape, analyzes the rationality of the calculation results through an oscilloscope after the iteration is completed, and exports the calculation results to a workspace.

[0094] In one embodiment, the parameters required for the efficiency of the engineering vehicle transmission system include the rotational speed and torque of the pump wheel, 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: Calculating the efficiency of the engineering vehicle transmission system based on the parameters required for the efficiency of the engineering vehicle transmission system;

[0096] In one embodiment, the efficiency of the engineering vehicle transmission system is obtained based on the following formula:

[0097] ;

[0098] ;

[0099] ;

[0100] ;

[0101] in, Indicates the efficiency of the transmission system of engineering vehicles; Indicates the torque converter efficiency; Indicates the gearbox efficiency; Indicates the drive axle efficiency; In turn, the rotational speed and torque of the turbine are represented; In turn, the rotational speed and torque of the pump wheel are represented; In turn, it represents the rotational speed and torque of the sun gear (which can be read directly from the engine); Indicates the rotation speeds of the four tires in sequence; Indicates the torques of the four tires in sequence; Indicate the speed and torque of the output shaft gear in turn.

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

[0103] On the other hand, the present invention also provides an electronic device, such as Figure 7 As shown, the electronic device may include: a processor 701, a communications interface 702, a memory 703, and a communication bus 704. The processor 701, the communications interface 702, and the memory 703 communicate with each other via the communication bus 704. The processor 701 may invoke logic instructions in the memory 703 to execute a data-driven method for predicting the efficiency of an engineering vehicle transmission system.

[0104] In addition, the logical instructions in the aforementioned memory 703 can be implemented in the form of a software functional unit and, when sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or the portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0105] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program 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 the above methods.

[0106] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute a data-driven engineering vehicle transmission system efficiency prediction method provided by the above methods.

[0107] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0108] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0109] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. Reference can be made to the common and similar parts between the various embodiments. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the method description.

[0110] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to one 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. Therefore, the present invention is not limited to the embodiments shown herein but is intended to conform to 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: The following steps are involved: S1: Constructing a simulation model of an 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 body model and a speed and torque detection unit; 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 wheel, a turbine wheel and a stator wheel; 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 gears, each planetary gear includes a sun gear, a ring gear, and a planet carrier; the clutch includes a cylinder, a steel plate, a return spring, and a friction plate; The drive axle model includes a front axle and a rear axle; wherein the front axle and the rear axle both include a main reducer, a differential and a wheel-side reducer; The vehicle body model includes four tires and a vehicle body; S2: setting boundary parameters of the engineering vehicle transmission system simulation model; wherein the boundary parameters include load weight and engine target speed; The boundary parameters specifically include engine parameters, torque converter parameters, gearbox parameters, drive axle parameters, and body parameters: 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; 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 ratio, meshing efficiency, viscous loss coefficient and moment of inertia of the gear components; wherein the gear components include a sun gear, a ring gear, a planet carrier, an intermediate gear and an 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 oil cylinder starting pressure and the viscous loss coefficient of the friction surface; The gearbox parameters also include cylinder pressure control parameters; the cylinder pressure control parameters include time nodes of different pressure segments, pressure change rate and gear control parameters; The drive axle parameters include the speed ratio of the main reducer, the speed ratio of the wheel reducer, the meshing efficiency of the main reducer, the viscous loss coefficient of the main reducer, the meshing efficiency of the wheel reducer and the viscous loss coefficient of the wheel reducer; 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 center of gravity of the vehicle body, height of the center of gravity of the vehicle body, gravitational acceleration, wind resistance coefficient and vehicle body frontal area; S3: Iteratively solving the engineering vehicle transmission system simulation model with set boundary parameters to obtain parameters required for the engineering vehicle transmission system efficiency; The parameters required for the efficiency of the engineering vehicle transmission system include the speed and torque of the pump wheel, the speed and torque of the turbine, the speed and torque of the output shaft gear, and the speed and torque of the four tires; S4: Calculating the efficiency of the engineering vehicle transmission system based on the parameters required for the efficiency of the engineering vehicle transmission system; The efficiency of the engineering vehicle transmission system is obtained based on the following formula: ； in, Indicates the efficiency of the transmission system of engineering vehicles; Indicates the torque converter efficiency; Indicates the gearbox efficiency; Indicates the drive axle efficiency; The calculation formulas for the torque converter efficiency, the transmission efficiency, and the drive axle efficiency are: ； ； ； in, In turn, the rotational speed and torque of the turbine are represented; In turn, the rotational speed and torque of the pump wheel are represented; In turn, they represent the rotational speed and torque of the sun gear; Indicates the rotation speeds of the four tires in sequence; Indicates the torques of the four tires in sequence; In turn, they represent the speed and torque of the output shaft gear; S5: Modify the target engine speed and the load weight, and repeat S3-S4 to obtain the transmission system efficiency of the engineering vehicle under different target engine speeds and different load weights.

2. The data-driven engineering vehicle transmission system efficiency prediction method according to claim 1, 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 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.

3. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method for predicting the efficiency of the transmission system of an engineering vehicle based on data driving is implemented as described in claim 1 or 2.

4. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the data-driven engineering vehicle transmission system efficiency prediction method according to claim 1 or 2 is implemented.

5. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the data-driven engineering vehicle transmission system efficiency prediction method according to claim 1 or 2 is implemented.

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