Efficiency simulation method and device for speed reducer of electric drive system

Abstract

The invention provides an efficiency simulation method and device for a speed reducer of an electric drive system. The method comprises the following steps: constructing a speed reducer simulation model; performing dynamic simulation on the speed reducer under the set working condition to obtain simulation data; constructing a speed reducer system efficiency simulation platform according to the simulation data; performing simulation calculation according to the speed reducer system efficiency simulation platform to obtain a simulation calculation result; according to the speed reducer system efficiency simulation platform and the simulation calculation result, various types of losses are calculated; efficiency calculation is carried out according to a reducer system efficiency simulation platform and various types of losses, and reducer cycle working condition comprehensive efficiency is obtained; and when the comprehensive efficiency of the speed reducer cycle working condition reaches a preset efficiency target, outputting a speed reducer simulation model. The method and the device can comprehensively consider the actual working condition, optimize the design of the speed reducer to improve the comprehensive efficiency performance, improve the efficiency simulation precision of the speed reducer in the electric drive system, shorten the design iteration period and cost, and facilitate the improvement of the research and development efficiency and the overall performance of the product.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a method and device for simulating the efficiency of a reducer in an electric drive system. Background Art

[0002] At present, in the field of new energy vehicles, the reducer of the pure electric drive system is the core component of the electric drive system, and its performance is directly related to the efficiency of the entire electric drive system, the energy efficiency of the vehicle and the cruising range. Therefore, the comprehensive working condition efficiency performance of the reducer has become an important indicator for evaluating its performance. The design and optimization of the existing pure electric vehicle electric drive system reducer mainly rely on traditional design theories and empirical formulas, usually involving gear parameter design, bearing selection, oil seal configuration and lubricant selection. However, in practice, it is found that the traditional method is based on an ideal model, ignoring the nonlinear effects and thermal deformation of each component under actual working conditions, resulting in efficiency evaluation deviations; and repeated experiments are required for complex working conditions or new material applications, and the design iteration is slow and costly. Summary of the invention

[0003] The purpose of the embodiments of the present application is to provide a method and device for simulating the efficiency of a reducer in an electric drive system, which can comprehensively consider the actual working conditions, optimize the reducer design to improve its overall efficiency performance, improve the efficiency simulation accuracy of the reducer in the electric drive system, shorten the design iteration cycle and cost, and help improve R&D efficiency and overall product performance.

[0004] The first aspect of the present application provides a method for simulating the efficiency of a reducer of an electric drive system, comprising:

[0005] Obtain reducer design parameters, reducer assembly 3D digital model, definition data, actual operating conditions of pure electric vehicles, and reducer cycle condition setting input;

[0006] Constructing a reducer simulation model according to the reducer design parameters, the three-dimensional digital model of the reducer assembly and the definition data;

[0007] Based on the reducer simulation model, the actual operating condition of the pure electric vehicle and the reducer cycle condition setting input, dynamically simulate the reducer under the set condition to obtain simulation data;

[0008] Constructing a reducer system efficiency simulation platform according to the simulation data;

[0009] Perform simulation calculations according to the reducer system efficiency simulation platform to obtain simulation calculation results; wherein the simulation data includes output shaft speed, output shaft torque, and movement trend of the oil after being stirred;

[0010] Calculate various types of losses according to the reducer system efficiency simulation platform and the simulation calculation results; wherein the various types of losses at least include meshing loss, oil stirring loss, bearing loss and oil seal loss;

[0011] Efficiency calculation is performed based on the reducer system efficiency simulation platform and the various types of losses to obtain the comprehensive efficiency of the reducer cycle operating condition;

[0012] When the comprehensive efficiency of the reducer cycle operating condition reaches a preset efficiency target, the reducer simulation model is output.

[0013] Furthermore, the construction of a reducer simulation model according to the reducer design parameters, the reducer assembly three-dimensional digital model and the definition data includes:

[0014] Constructing a three-dimensional simulation model according to the design parameters of the reducer;

[0015] Performing finite element meshing on the three-dimensional simulation model to obtain a system finite element model;

[0016] The three-dimensional digital model of the reducer assembly and the definition data are imported into the system finite element model to obtain a reducer simulation model.

[0017] Furthermore, the definition data at least includes fixed part definition data, moving part definition data, and rotational motion definition data, and the rotational motion definition data at least includes a rotation axis and a rotation direction;

[0018] The three-dimensional simulation model at least includes detailed physical properties of gears, detailed physical properties of bearings, detailed physical properties of oil seals, detailed physical properties of housings and detailed physical properties of lubricating oil; wherein the gears at least include tooth profile, module, and pressure angle; the bearings at least include type, size, and preload; the detailed physical properties of the oil seals at least include structure, material, and sealing clearance; the detailed physical properties of the housing at least include material properties; the detailed physical properties of the lubricating oil at least include viscosity, density, and lubrication state;

[0019] The actual operating conditions of the pure electric vehicle include at least motor speed, load change, and ambient temperature;

[0020] The input quantity of the reducer cycle working condition setting includes at least the motor speed, the reducer input torque, the oil temperature, and the ambient temperature; wherein the motor speed and the reducer input torque are both curve working condition points that change with time;

[0021] The simulation data includes stress data of each component, strain data of each component, temperature distribution data of each component and lubricating oil flow state data.

[0022] Furthermore, the construction of the reducer system efficiency simulation platform includes:

[0023] Establishing a multi-physics field coupling model between components inside the reducer system based on the simulation data and the reducer simulation model;

[0024] According to the preset deep neural network model and the multi-physical field coupling model, a reducer system efficiency simulation platform is constructed.

[0025] Furthermore, the simulation calculation is performed according to the reducer system efficiency simulation platform to obtain the simulation calculation results, including:

[0026] Determine the simulation calculation step length according to the input quantity set according to the reducer cycle working condition;

[0027] According to the reducer system efficiency simulation platform, the simulation calculation step and the simulation data, a dynamic domain equation is constructed; wherein the constraint conditions for solving the dynamic domain equation are the rotation speed, the torque input and output, the motion constraint equations between the solid parts and the interaction equations between the solid parts and the oil;

[0028] Solving the power domain equation according to the reducer system efficiency simulation platform to obtain the output shaft speed and output shaft torque;

[0029] Constructing multi-body dynamics equations and fluid dynamics equations according to the reducer system efficiency simulation platform;

[0030] The multi-body dynamics equation and the fluid dynamics equation are solved to obtain the movement trend of the oil after being stirred; wherein the fluid dynamics equation is the Navier-Stokes equation for incompressible viscous fluid;

[0031] The output shaft speed, the output shaft torque, and the movement trend of the oil after being stirred are summarized to obtain simulation data.

[0032] Furthermore, the calculation of various types of losses based on the reducer system efficiency simulation platform and the simulation calculation results includes:

[0033] Calculating oil churning loss and bearing loss according to the reducer system efficiency simulation platform and the simulation calculation results;

[0034] Obtain the diameter of the oil seal installation shaft, the friction force per unit length between the oil seal lip and the shaft circumference, and the target speed of the transmission at each operating point;

[0035] Calculate the oil seal friction force according to the reducer system efficiency simulation platform, the diameter of the oil seal mounting shaft, and the friction force per unit length between the oil seal sealing lip and the shaft circumference;

[0036] Calculating the oil seal friction torque according to the reducer system efficiency simulation platform, the oil seal friction force and the diameter of the oil seal mounting shaft;

[0037] Calculating the oil seal friction power loss parameter according to the reducer system efficiency simulation platform, the oil seal friction torque and the target speed of the transmission at each operating point;

[0038] Calculating oil seal loss according to the reducer system efficiency simulation platform, the oil seal friction power oil seal parameters and the simulation calculation results;

[0039] Calculating the primary meshing loss and the secondary meshing loss at each operating point according to the reducer system efficiency simulation platform and the simulation calculation results;

[0040] The meshing loss is calculated based on the primary meshing loss and the secondary meshing loss.

[0041] Furthermore, the method further comprises:

[0042] When the comprehensive efficiency of the reducer cycle condition does not reach the preset efficiency target, the key components of the reducer simulation model are collaboratively optimized according to the comprehensive efficiency of the reducer cycle condition to obtain an improved design scheme;

[0043] According to the improved design scheme, the reducer simulation model is optimized to obtain the optimized reducer simulation model, and the input quantity is set based on the reducer simulation model, the actual operating condition of the pure electric vehicle and the reducer cycle condition to dynamically simulate the reducer under the set condition to obtain simulation data.

[0044] A second aspect of the present application provides an electric drive system reducer efficiency simulation device, the electric drive system reducer efficiency simulation device comprising:

[0045] An acquisition unit, used to acquire reducer design parameters, a three-dimensional digital model of a reducer assembly, definition data, actual operating conditions of a pure electric vehicle, and input quantities for setting a cycle condition of the reducer;

[0046] A first construction unit is used to construct a reducer simulation model according to the reducer design parameters, the three-dimensional digital model of the reducer assembly and the definition data;

[0047] A simulation unit, configured to dynamically simulate the reducer under the set working condition based on the reducer simulation model, the actual operating condition of the pure electric vehicle and the reducer cycle working condition setting input quantity to obtain simulation data;

[0048] A second construction unit is used to construct a reducer system efficiency simulation platform according to the simulation data;

[0049] A simulation calculation unit, used for performing simulation calculation according to the reducer system efficiency simulation platform to obtain simulation calculation results; wherein the simulation data includes output shaft speed, output shaft torque and movement trend of the oil after being stirred;

[0050] A first calculation unit is used to calculate various types of losses according to the reducer system efficiency simulation platform and the simulation calculation results; wherein the various types of losses at least include meshing loss, oil stirring loss, bearing loss and oil seal loss;

[0051] A second calculation unit is used to perform efficiency calculation according to the reducer system efficiency simulation platform and the various types of losses to obtain a comprehensive efficiency of the reducer cycle operating condition;

[0052] The output unit is used to output the reducer simulation model when the comprehensive efficiency of the reducer cycle operating condition reaches a preset efficiency target.

[0053] Furthermore, the first construction unit includes:

[0054] A first construction subunit is used to construct a three-dimensional simulation model according to the reducer design parameters;

[0055] A division subunit is used to perform finite element mesh division on the three-dimensional simulation model to obtain a system finite element model;

[0056] The import subunit is used to import the three-dimensional digital model of the reducer assembly and the definition data into the system finite element model to obtain a reducer simulation model.

[0057] Furthermore, the definition data at least includes fixed part definition data, moving part definition data, and rotational motion definition data, and the rotational motion definition data at least includes a rotation axis and a rotation direction;

[0058] The three-dimensional simulation model at least includes detailed physical properties of gears, detailed physical properties of bearings, detailed physical properties of oil seals, detailed physical properties of housings and detailed physical properties of lubricating oil; wherein the gears at least include tooth profile, module, and pressure angle; the bearings at least include type, size, and preload; the detailed physical properties of the oil seals at least include structure, material, and sealing clearance; the detailed physical properties of the housing at least include material properties; the detailed physical properties of the lubricating oil at least include viscosity, density, and lubrication state;

[0059] The actual operating conditions of the pure electric vehicle include at least motor speed, load change, and ambient temperature;

[0060] The input quantity of the reducer cycle working condition setting includes at least the motor speed, the reducer input torque, the oil temperature, and the ambient temperature; wherein the motor speed and the reducer input torque are both curve working condition points that change with time;

[0061] The simulation data includes stress data of each component, strain data of each component, temperature distribution data of each component and lubricating oil flow state data.

[0062] Furthermore, the second construction unit includes:

[0063] Establishing a subunit for establishing a multi-physics field coupling model between components inside the reducer system based on the simulation data and the reducer simulation model;

[0064] The second construction subunit is used to construct a reducer system efficiency simulation platform based on a preset deep neural network model and the multi-physical field coupling model.

[0065] Furthermore, the simulation calculation unit includes:

[0066] A setting subunit, used for setting an input quantity according to the reducer cycle working condition to determine a simulation calculation step length;

[0067] The third construction subunit is used to construct a power domain equation according to the reducer system efficiency simulation platform, the simulation calculation step and the simulation data; wherein the constraints for solving the power domain equation are the rotation speed, the torque input and output, the motion constraint equations between the solid parts and the interaction equations between the solid parts and the oil;

[0068] A first calculation subunit is used to solve the power domain equation according to the reducer system efficiency simulation platform to obtain the output shaft speed and the output shaft torque;

[0069] The third construction subunit is further used to construct multi-body dynamics equations and fluid dynamics equations according to the reducer system efficiency simulation platform;

[0070] The first calculation subunit is further used to solve the multi-body dynamics equation and the fluid dynamics equation to obtain the movement trend of the oil after being stirred; wherein the fluid dynamics equation is the Navier-Stokes equation for incompressible viscous fluid;

[0071] The summarizing subunit is used to summarize the output shaft speed, the output shaft torque and the movement trend of the oil after being stirred to obtain simulation data.

[0072] Furthermore, the first computing unit includes:

[0073] A second calculation subunit is used to calculate the oil stirring loss and the bearing loss according to the reducer system efficiency simulation platform and the simulation calculation result;

[0074] An acquisition subunit is used to acquire the diameter of the oil seal installation shaft, the friction force per unit length between the oil seal sealing lip and the shaft circumference, and the target speed of the transmission at each operating point;

[0075] The second calculation subunit is further used to calculate the oil seal friction force according to the reducer system efficiency simulation platform, the diameter of the oil seal installation shaft, and the friction force per unit length between the oil seal sealing lip and the shaft circumference;

[0076] The second calculation subunit is further used to calculate the oil seal friction torque according to the reducer system efficiency simulation platform, the oil seal friction force and the diameter of the oil seal installation shaft;

[0077] The second calculation subunit is further used to calculate the oil seal friction power loss parameter at the target speed at each operating point;

[0078] The second calculation subunit is further used to calculate the oil seal loss according to the reducer system efficiency simulation platform, the oil seal friction power oil seal parameter and the simulation calculation result;

[0079] The second calculation subunit is further used to calculate the primary meshing loss and the secondary meshing loss of each operating point according to the reducer system efficiency simulation platform and the simulation calculation results;

[0080] The second calculation subunit is further used to calculate the meshing loss according to the primary meshing loss and the secondary meshing loss.

[0081] Furthermore, the electric drive system reducer efficiency simulation device also includes:

[0082] An optimization unit, configured to perform collaborative optimization processing of key components of the reducer simulation model according to the comprehensive efficiency of the reducer cycle condition to obtain an improved design scheme when the comprehensive efficiency of the reducer cycle condition does not reach the preset efficiency target;

[0083] The optimization unit is also used to optimize the reducer simulation model according to the improved design scheme to obtain the optimized reducer simulation model, and trigger the simulation unit to execute the operation of setting input quantities based on the reducer simulation model, the actual operating conditions of the pure electric vehicle and the reducer cycle conditions, dynamically simulating the reducer under the set conditions to obtain simulation data.

[0084] A third aspect of the present application provides an electronic device, including a memory and a processor, wherein the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute the electric drive system reducer efficiency simulation method described in any one of the first aspect of the present application.

[0085] A fourth aspect of the present application provides a computer-readable storage medium storing computer program instructions. When the computer program instructions are read and executed by a processor, the electric drive system reducer efficiency simulation method described in any one of the first aspect of the present application is executed.

[0086] The beneficial effects of the present application are as follows: the method and device can provide a high-precision, high-efficiency electric drive system reducer efficiency simulation tool that can cope with continuous changes in complex working conditions, thereby significantly improving the efficiency simulation accuracy of the electric drive system reducer under comprehensive working conditions, helping to achieve indicators, and further improving R&D efficiency and product performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0087] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0088] Figure 1 A schematic flow chart of a method for simulating the efficiency of a reducer of an electric drive system provided in an embodiment of the present application;

[0089] Figure 2 A module flow chart of a method for simulating the efficiency of a reducer in an electric drive system provided in an embodiment of the present application.

[0090] Figure 3 A schematic flow chart of another method for simulating the efficiency of a reducer of an electric drive system provided in an embodiment of the present application;

[0091] Figure 4 A diagram of the construction architecture of a reducer simulation model provided in an embodiment of the present application;

[0092] Figure 5 A schematic diagram of a simulation calculation process provided in an embodiment of the present application;

[0093] Figure 6 The tapered bearing provided in the embodiment of the present application shows the corresponding relationship between the load condition and the axial load;

[0094] Figure 7 A schematic diagram of the structure of a reducer efficiency simulation device for an electric drive system provided in an embodiment of the present application;

[0095] Figure 8 A schematic diagram of the structure of another electric drive system reducer efficiency simulation device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0096] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0097] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0098] Example 1

[0099] Please see Figure 1 , Figure 1 A schematic flow chart of a method for simulating the efficiency of a reducer of an electric drive system provided in this embodiment. The method for simulating the efficiency of a reducer of an electric drive system includes:

[0100] S101, obtaining reducer design parameters, a three-dimensional digital model of the reducer assembly, definition data, actual operating conditions of the pure electric vehicle, and input quantities for setting the reducer cycle conditions.

[0101] S102: construct a reducer simulation model according to the reducer design parameters, the three-dimensional digital model of the reducer assembly and the definition data.

[0102] S103, based on the reducer simulation model, the actual operating condition of the pure electric vehicle and the reducer cycle condition setting input, dynamically simulate the reducer under the set condition to obtain simulation data.

[0103] S104. Construct a reducer system efficiency simulation platform based on the simulation data.

[0104] S105. Perform simulation calculations according to the reducer system efficiency simulation platform to obtain simulation calculation results; wherein the simulation data includes output shaft speed, output shaft torque, and movement trend of the oil after being stirred.

[0105] In this embodiment, the method can perform dynamic simulation calculations on the reducer under set working conditions based on theories such as finite element method and multi-body dynamics to obtain key information such as stress, strain, temperature distribution, and lubricating oil flow state of each component.

[0106] S106. Calculate various types of losses according to the reducer system efficiency simulation platform and simulation calculation results; wherein the various types of losses at least include meshing loss, oil stirring loss, bearing loss and oil seal loss.

[0107] In this embodiment, the method can calculate the gear meshing efficiency, bearing friction loss, oil seal loss and oil stirring loss based on the simulation calculation results, and comprehensively evaluate the comprehensive efficiency of the reducer cycle working condition.

[0108] S107. Calculate the efficiency based on the reducer system efficiency simulation platform and various types of losses to obtain the comprehensive efficiency of the reducer cycle condition.

[0109] S108. When the comprehensive efficiency of the reducer cycle operating condition reaches a preset efficiency target, the reducer simulation model is output.

[0110] Please see Figure 2 , Figure 2 A module flow chart of a method for simulating the efficiency of a reducer in an electric drive system is shown.

[0111] In this embodiment, the execution subject of the method may be a computing device such as a computer or a server, and no limitation is made in this embodiment.

[0112] In this embodiment, the execution subject of the method may also be a smart device such as a smart phone, a tablet computer, etc., which is not limited in this embodiment.

[0113] It can be seen that the implementation of the electric drive system reducer efficiency simulation method described in this embodiment can comprehensively consider the actual working conditions, optimize the reducer design to improve its overall efficiency performance, improve the efficiency simulation accuracy of the reducer in the electric drive system, shorten the design iteration cycle and cost, and is conducive to improving R&D efficiency and overall product performance.

[0114] Example 2

[0115] Please see Figure 3 , Figure 3 A schematic flow chart of a method for simulating the efficiency of a reducer of an electric drive system provided in this embodiment. The method for simulating the efficiency of a reducer of an electric drive system includes:

[0116] S201, obtaining reducer design parameters, reducer assembly three-dimensional digital model, definition data, pure electric vehicle actual operating conditions and reducer cycle condition setting input.

[0117] In this embodiment, the definition data at least includes fixed part definition data, moving part definition data, and rotational motion definition data, and the rotational motion definition data at least includes a rotation axis and a rotation direction.

[0118] S202. Construct a three-dimensional simulation model according to the design parameters of the reducer.

[0119] In this embodiment, the three-dimensional simulation model includes at least detailed physical properties of gears, detailed physical properties of bearings, detailed physical properties of oil seals, detailed physical properties of housings and detailed physical properties of lubricating oil; wherein, gears include at least tooth shape, module, and pressure angle; bearings include at least type, size, and preload; detailed physical properties of oil seals include at least structure, material, and sealing gap; detailed physical properties of housings include at least material properties; and detailed physical properties of lubricating oil include at least viscosity, density, and lubrication state.

[0120] In this embodiment, the method can construct a three-dimensional simulation model including detailed physical properties of gears (tooth shape, module, pressure angle, etc.), bearings (type, size, preload, etc.), oil seals (structure, material, sealing gap, etc.), housings (material properties, etc.) and lubricating oil (viscosity, density, lubrication state, etc.) according to the reducer design parameters.

[0121] S203, performing finite element meshing on the three-dimensional simulation model to obtain a system finite element model.

[0122] S204, importing the three-dimensional digital model and definition data of the reducer assembly into the system finite element model to obtain a reducer simulation model.

[0123] In this embodiment, the method can import the three-dimensional digital model of the reducer assembly into the simulation program, define the fixed parts, the moving parts, and define the rotational motion, including the rotation axis and direction.

[0124] Please see Figure 4 , Figure 4 A construction architecture diagram of a reducer simulation model is shown.

[0125] S205, based on the reducer simulation model, the actual operating condition of the pure electric vehicle and the reducer cycle condition setting input, dynamically simulate the reducer under the set condition to obtain simulation data.

[0126] In this embodiment, the actual operating conditions of the pure electric vehicle include at least motor speed, load change, and ambient temperature.

[0127] In this embodiment, the input quantity for setting the reducer cycle operating condition at least includes the motor speed, the reducer input torque, the oil temperature, and the ambient temperature; wherein the motor speed and the reducer input torque are both curve operating points that change with time.

[0128] In this embodiment, the simulation data includes stress data of each component, strain data of each component, temperature distribution data of each component, and lubricating oil flow state data.

[0129] S206. Establish a multi-physical field coupling model between components inside the reducer system based on the simulation data and the reducer simulation model.

[0130] S207. Construct a reducer system efficiency simulation platform based on the preset deep neural network model and multi-physics field coupling model.

[0131] S208. Perform simulation calculations based on the reducer system efficiency simulation platform to obtain simulation calculation results; wherein the simulation data includes output shaft speed, output shaft torque, and movement trend of the oil after being stirred.

[0132] As an optional implementation, simulation calculation is performed according to the reducer system efficiency simulation platform to obtain simulation calculation results, including:

[0133] According to the reducer cycle working condition, the input quantity is set to determine the simulation calculation step length;

[0134] According to the reducer system efficiency simulation platform, simulation calculation step and simulation data, the dynamic domain equation is constructed; the constraints for solving the dynamic domain equation are the speed, torque input and output, the motion constraint equations between solid parts, and the interaction equations between solid parts and oil;

[0135] The power domain equation is solved according to the reducer system efficiency simulation platform to obtain the output shaft speed and output shaft torque;

[0136] Construct multi-body dynamics equations and fluid dynamics equations based on the reducer system efficiency simulation platform;

[0137] The multi-body dynamics equation and the fluid dynamics equation are solved to obtain the movement trend of the oil after being stirred; among them, the fluid dynamics equation is the Navier-Stokes equation for incompressible viscous fluid;

[0138] The output shaft speed, output shaft torque, and movement trend of the oil after being stirred are summarized to obtain simulation data.

[0139] In this embodiment, the method can perform coupling analysis on multiple physical fields. Specifically, the method introduces multiple physical field theories such as thermodynamics and mechanical dynamics to establish a multi-physical field coupling model between components inside the reducer system, reflecting the mutual influence of multiple factors such as temperature and stress in actual operation. Accurate modeling and calculation are performed through methods such as finite element analysis (FEA) and computational fluid dynamics (CFD).

[0140] In this embodiment, the method can also be coupled and integrated with multi-physics fields based on deep learning. Specifically, the method can organically combine the deep neural network model with the multi-physics field coupling model to form a unified reducer system efficiency simulation platform. Among them, the deep neural network is responsible for processing highly nonlinear and data-dependent parts, and the multi-physics field model accurately depicts complex physical phenomena. The two work together to achieve a comprehensive and refined simulation of the efficiency of the electric drive system.

[0141] Please see Figure 5 , Figure 5 A schematic diagram of a simulation calculation process is shown. In this method, the reducer model can be established first, and then the simulation working conditions are input to complete the setting of the model boundary.

[0142] During the simulation calculation process, the calculation results are calculated according to the time division accuracy of the speed and torque input operating points for efficiency simulation calculation, that is, if the operating point time interval is 0.1s, the calculation step is 0.1s; if the operating point time interval is 1s, the calculation step is 1s.

[0143] When calculating at each time point, the dynamic domain equation can be calculated and solved first. The speed and torque are the constraints for solving the dynamic equation. The constraints also include: the motion constraint equations between solid parts such as gears (including shafts) and housings, and the interaction equations between solid parts such as gears (including shafts) and housings and oil. The functions finally solved are the output shaft speed and torque.

[0144] In this embodiment, the multi-body dynamics equation and the fluid dynamics equation are combined to solve the movement trend of the oil after being stirred. The multi-body dynamics equation is the Lagrange-D'Alembert equation:

[0145]

[0146] Among them, F i is the main force acting on this point;

[0147] F Ni is the restraining force acting on this point;

[0148] -m i a i is the inertia force at that point;

[0149] The fluid dynamics equations are the Navier-Stokes equations for incompressible viscous fluids, and the continuity equation is:

[0150]

[0151] The Navier-Stokes equations are:

[0152]

[0153] The oil moves due to the input speed and torque, and dissipates kinetic energy as internal energy during the movement, which is manifested as an increase in oil temperature. The oil temperature affects the viscosity of the oil, which in turn affects the force between the gear and the oil and the internal force of the oil. Therefore, the calculation result at this time point will be used as the boundary condition of the next time node and iterated to the next round of calculation.

[0154] In this embodiment, the heat transfer equation is also transiently calculated at each time point. In the reducer model, there are three main forms of heat transfer: convection, conduction and radiation. The radiation is small and can be ignored. Convective heat transfer includes: convection heat transfer between oil and parts such as shaft gears and housings, and convection heat transfer between the air outside the reducer and the housing; heat conduction includes heat transfer between all contacting solid parts.

[0155] In terms of heat generation, during the rotation of gears, on the one hand, the oil moves due to the shaft and gear parts, and the kinetic energy will be dissipated into internal energy during the movement. On the other hand, during the rotation of the shaft and gear parts, the friction between the oil and the tooth surface will also consume part of the mechanical energy and convert it into internal energy. At the same time, the meshing friction between gears and the friction of bearings will also consume mechanical energy and convert it into internal energy. The above are the sources of heat generation inside the reducer.

[0156] In each step of the calculation process, the calculation of the temperature field is carried out in parallel with the fluid dynamics calculation, which is a multi-physical field coupling calculation. The calculation results influence each other, which makes the calculation results truly reflect the actual test conditions and has higher simulation accuracy.

[0157] S209. Calculate various types of losses according to the reducer system efficiency simulation platform and simulation calculation results; wherein the various types of losses at least include meshing loss, oil stirring loss, bearing loss and oil seal loss.

[0158] As an optional implementation, the oil churning loss and the bearing loss are calculated based on the reducer system efficiency simulation platform and the simulation calculation results;

[0159] Obtain the diameter of the oil seal installation shaft, the friction force per unit length between the oil seal lip and the shaft circumference, and the target speed of the transmission at each operating point;

[0160] The friction force of the oil seal is calculated based on the reducer system efficiency simulation platform, the diameter of the oil seal installation shaft, and the friction force per unit length between the oil seal lip and the shaft circumference;

[0161] Calculate the oil seal friction torque based on the reducer system efficiency simulation platform, oil seal friction force, and the diameter of the oil seal installation shaft;

[0162] Calculate the oil seal friction power loss parameters based on the reducer system efficiency simulation platform, oil seal friction torque and the target speed of the transmission at each operating point;

[0163] Calculate the oil seal loss based on the reducer system efficiency simulation platform, oil seal friction power oil seal parameters and simulation calculation results;

[0164] Calculate the primary meshing loss and secondary meshing loss at each operating point based on the reducer system efficiency simulation platform and simulation calculation results;

[0165] The meshing loss is calculated based on the primary meshing loss and the secondary meshing loss.

[0166] In this embodiment, the model adopts the finite element method, that is, each discrete unit contains physical information such as speed, mass, temperature, etc.

[0167] In this embodiment, the oil loss is the total energy change in each time interval through the oil unit, which represents the energy lost due to oil stirring inside the gearbox.

[0168] ΔE=ΔE k +ΔE p

[0169] △E k represents the change in kinetic energy due to agitation;

[0170] △E p represents the change in potential energy due to agitation;

[0171]

[0172] △E i is the oil churning loss at the i-th operating point;

[0173] In this embodiment, the oil seal loss is:

[0174]

[0175] Among them, P 油封i is the oil seal loss at the i-th operating point.

[0176] In this embodiment, the method can calculate the oil seal friction F according to the diameter d0 of the oil seal installation shaft and the friction force F0 per unit length of the oil seal sealing lip and the shaft circumference by using the oil seal friction calculation formula. The oil seal friction calculation formula is:

[0177] F=πd0F0

[0178] Where F is the friction force of the oil seal, d0 is the diameter of the shaft on which the oil seal is installed, F0 is the friction force per unit length between the sealing lip of the oil seal and the shaft circumference, and π is the pi.

[0179] In this embodiment, the method can also calculate the oil seal friction torque T according to the oil seal friction force F and the diameter d0 of the oil seal mounting shaft through the oil seal friction torque calculation formula, and the oil seal friction torque calculation formula is:

[0180]

[0181] Where, T is the friction torque of the oil seal, F is the friction force of the oil seal, d0 is the diameter of the oil seal installation shaft, F0 is the friction force per unit length between the oil seal lip and the shaft circumference, and π is the pi.

[0182] In this embodiment, the method can also calculate the oil seal friction power loss parameter P according to the oil seal friction torque T and the target speed n of the transmission under the target working condition through the oil seal friction power calculation formula. The oil seal friction power calculation formula is:

[0183]

[0184] Among them, P is the oil seal friction power loss parameter, T is the oil seal friction torque, n is the target speed of the transmission under the target working condition, and 9550 is used for unit conversion to convert the torque from Newton meters (N·m) to kilowatt-hours (kW).

[0185] In this embodiment, the bearing power loss calculation formula is:

[0186]

[0187] P 轴承ij is the jth bearing loss at the ith operating point, expressed as follows:

[0188]

[0189] Wherein, M1 is the friction torque caused by the bearing load, in Nm;

[0190] M2 is the friction torque generated by the axial force on the bearing, in Nm. It does not need to be considered except for cylindrical roller bearings.

[0191] In this embodiment, the friction torque caused by the bearing load is expressed as follows:

[0192]

[0193] Where, f1 is the friction coefficient, see Table 1;

[0194] P1 is the equivalent dynamic load, in N, see Table 1. For tapered bearings, it can be combined with Figure 6 Sure; Figure 6 The corresponding relationship between the tapered bearing schematic (first column) and the load condition (third column) and the axial load (fourth column) is shown.

[0195] d m为 The average diameter of the bearing, in mm, is the average of the inner and outer diameters of the bearing;

[0196] The A and B coefficients are 1 except for ball bearings. See Table 2 for ball bearings.

[0197] Table 1

[0198]

[0199] Table 2

[0200]

[0201] In this embodiment, for the cylindrical roller bearing, the friction torque M2 generated by the axial force is expressed as:

[0202]

[0203] Among them, f2 is a factor related to bearing structure and lubrication, see Table 3.

[0204] F a is the bearing axial force, in N.

[0205] Table 3

[0206]

[0207] In this embodiment, the meshing loss calculation formula is:

[0208]

[0209] Among them, P 啮合i-1 First-order meshing loss at the i-th operating point;

[0210] P 啮合i-2 Secondary meshing loss at the i-th operating point.

[0211] In this embodiment,

[0212] Among them, the meshing line length is L a =g a +g f ;

[0213] The length of the biting part is

[0214] The length of the meshing part is

[0215] The normal force on the gear is

[0216] The sliding coefficient is

[0217] The sliding speed is V g =ω2*|(1+k)*xk*L a |;

[0218] 2*The velocity of the connection is V r =ω2*((1-k)*x+k*L a ).

[0219] In this embodiment, a large amount of electric drive system operation data, including input parameters (such as current, voltage, speed, etc.), environmental conditions (such as temperature, humidity, etc.) and corresponding efficiency values, is obtained through experimental testing, numerical simulation, etc. These data are used to train and verify the deep neural network model, and the network parameters are adjusted through the back propagation algorithm to improve the model prediction accuracy.

[0220] In this embodiment, the efficiency calculation formula is:

[0221]

[0222] Among them, T OUT-i The output torque calculated for the reducer at the current time point;

[0223] n OUT-i The output speed calculated for the reducer at the current time point;

[0224] T IN-i Input torque for the reducer at the current time point;

[0225] n IN-i Enter the speed of the reducer at the current time.

[0226] S210. Calculate the efficiency based on the reducer system efficiency simulation platform and various types of losses to obtain the comprehensive efficiency of the reducer cycle condition.

[0227] S211. When the comprehensive efficiency of the reducer cycle operating condition reaches a preset efficiency target, the reducer simulation model is output.

[0228] As an optional implementation, when the comprehensive efficiency of the reducer cycle condition does not reach the preset efficiency target, the reducer simulation model is collaboratively optimized for key components according to the comprehensive efficiency of the reducer cycle condition to obtain an improved design solution;

[0229] The reducer simulation model is optimized according to the improved design scheme to obtain an optimized reducer simulation model, and step S205 is executed.

[0230] In this embodiment, the method can use intelligent optimization methods such as genetic algorithms and particle swarm optimization to collaboratively optimize key components such as gears, bearings, oil seals, and lubricants based on the efficiency evaluation results, and generate improved design plans with the minimum comprehensive operating efficiency value as the optimization goal, thereby performing a new round of simulation calculations until the preset efficiency target is repeatedly iterated.

[0231] In this embodiment, the execution subject of the method may be a computing device such as a computer or a server, and no limitation is made in this embodiment.

[0232] In this embodiment, the execution subject of the method may also be a smart device such as a smart phone, a tablet computer, etc., which is not limited in this embodiment.

[0233] It can be seen that the implementation of the electric drive system reducer efficiency simulation method described in this embodiment can achieve the following multiple effects:

[0234] (1) Achieve higher-precision simulation: By building a simulation model that includes detailed physical properties of key components such as gears, bearings, oil seals, lubricants, and housings, the interaction between components under actual working conditions is simulated. The combination of deep learning and multi-physics field coupling technology effectively captures the complex nonlinear relationships and multi-physics field interaction effects within the electric drive system, significantly improving simulation accuracy and making the results closer to the actual operating status.

[0235] (2) Achieve more efficient simulation: Utilize the parallel computing advantages and big data processing capabilities of deep learning models to significantly shorten simulation calculation time, meet the needs of rapid design iteration and real-time performance evaluation of electric drive system reducers, significantly shorten design iteration cycles, and reduce R&D costs;

[0236] (3) Ability to cope with continuous changes in complex computing conditions: This method can flexibly cope with various complex conditions, such as different driving modes and load changes, and provide a reliable basis for comprehensively evaluating the efficiency performance of electric drive systems in practical applications;

[0237] (4) Achieve systematic optimization: This method can regard the reducer as an integral system, comprehensively consider the mutual influence between various components, achieve coordinated optimization of key components such as gears, bearings, oil seals, and lubricants, and take the overall operating efficiency of the system as the optimization goal.

[0238] Example 3

[0239] Please see Figure 7 , Figure 7 This is a schematic diagram of the structure of a device for simulating the efficiency of a reducer of an electric drive system provided in this embodiment. Figure 7 As shown, the electric drive system reducer efficiency simulation device includes:

[0240] An acquisition unit 310 is used to acquire the design parameters of the reducer, the three-dimensional digital model of the reducer assembly, definition data, the actual operating conditions of the pure electric vehicle, and the input quantity for setting the cycle conditions of the reducer;

[0241] A first construction unit 320 is used to construct a reducer simulation model according to the reducer design parameters, the three-dimensional digital model of the reducer assembly and the definition data;

[0242] The simulation unit 330 is used to dynamically simulate the reducer under the set working condition based on the reducer simulation model, the actual operating condition of the pure electric vehicle and the reducer cycle working condition setting input quantity to obtain simulation data;

[0243] A second construction unit 340 is used to construct a reducer system efficiency simulation platform according to the simulation data;

[0244] The simulation calculation unit 350 is used to perform simulation calculation according to the reducer system efficiency simulation platform to obtain simulation calculation results; wherein the simulation data includes the output shaft speed, the output shaft torque and the movement trend of the oil after being stirred;

[0245] The first calculation unit 360 is used to calculate various types of losses according to the reducer system efficiency simulation platform and the simulation calculation results; wherein the various types of losses at least include meshing loss, oil stirring loss, bearing loss and oil seal loss;

[0246] The second calculation unit 370 is used to perform efficiency calculation according to the reducer system efficiency simulation platform and various types of losses to obtain the comprehensive efficiency of the reducer cycle condition;

[0247] The output unit 380 is used to output the reducer simulation model when the comprehensive efficiency of the reducer cycle operating condition reaches a preset efficiency target.

[0248] In this embodiment, the explanation of the electric drive system reducer efficiency simulation device can refer to the description in Example 1 or Example 2, and will not be further elaborated in this embodiment.

[0249] It can be seen that the implementation of the electric drive system reducer efficiency simulation device described in this embodiment can comprehensively consider the actual working conditions, optimize the reducer design to improve its overall efficiency performance, improve the efficiency simulation accuracy of the reducer in the electric drive system, shorten the design iteration cycle and cost, and is conducive to improving R&D efficiency and overall product performance.

[0250] Example 4

[0251] Please see Figure 8 , Figure 8 This is a schematic diagram of the structure of a device for simulating the efficiency of a reducer of an electric drive system provided in this embodiment. Figure 8 As shown, the electric drive system reducer efficiency simulation device includes:

[0252] An acquisition unit 310 is used to acquire the design parameters of the reducer, the three-dimensional digital model of the reducer assembly, definition data, the actual operating conditions of the pure electric vehicle, and the input quantity for setting the cycle conditions of the reducer;

[0253] A first construction unit 320 is used to construct a reducer simulation model according to the reducer design parameters, the three-dimensional digital model of the reducer assembly and the definition data;

[0254] The simulation unit 330 is used to dynamically simulate the reducer under the set working condition based on the reducer simulation model, the actual operating condition of the pure electric vehicle and the reducer cycle working condition setting input quantity to obtain simulation data;

[0255] A second construction unit 340 is used to construct a reducer system efficiency simulation platform according to the simulation data;

[0256] The simulation calculation unit 350 is used to perform simulation calculation according to the reducer system efficiency simulation platform to obtain simulation calculation results; wherein the simulation data includes the output shaft speed, the output shaft torque and the movement trend of the oil after being stirred;

[0257] The first calculation unit 360 is used to calculate various types of losses according to the reducer system efficiency simulation platform and the simulation calculation results; wherein the various types of losses at least include meshing loss, oil stirring loss, bearing loss and oil seal loss;

[0258] The second calculation unit 370 is used to perform efficiency calculation according to the reducer system efficiency simulation platform and various types of losses to obtain the comprehensive efficiency of the reducer cycle condition;

[0259] The output unit 380 is used to output the reducer simulation model when the comprehensive efficiency of the reducer cycle operating condition reaches a preset efficiency target.

[0260] As an optional implementation, the first building unit 320 includes:

[0261] The first construction subunit 321 is used to construct a three-dimensional simulation model according to the design parameters of the reducer;

[0262] A division subunit 322 is used to perform finite element mesh division on the three-dimensional simulation model to obtain a system finite element model;

[0263] The import subunit 323 is used to import the three-dimensional digital model and definition data of the reducer assembly into the system finite element model to obtain the reducer simulation model.

[0264] In this embodiment, the definition data at least includes fixed part definition data, moving part definition data, and rotational motion definition data, and the rotational motion definition data at least includes a rotation axis and a rotation direction;

[0265] The three-dimensional simulation model at least includes detailed physical properties of gears, detailed physical properties of bearings, detailed physical properties of oil seals, detailed physical properties of housings and detailed physical properties of lubricating oil; wherein, gears at least include tooth profile, module, and pressure angle; bearings at least include type, size, and preload; detailed physical properties of oil seals at least include structure, material, and sealing clearance; detailed physical properties of housings at least include material properties; detailed physical properties of lubricating oil at least include viscosity, density, and lubrication state;

[0266] The actual operating conditions of pure electric vehicles include at least motor speed, load changes, and ambient temperature;

[0267] The input quantity of the reducer cycle working condition setting includes at least the motor speed, the reducer input torque, the oil temperature, and the ambient temperature; wherein the motor speed and the reducer input torque are both curve working condition points that change with time;

[0268] The simulation data includes stress data of each component, strain data of each component, temperature distribution data of each component and lubricating oil flow state data.

[0269] As an optional implementation, the second construction unit 340 includes:

[0270] Establishing a subunit 341, for establishing a multi-physics coupling model between components inside the reducer system based on the simulation data and the reducer simulation model;

[0271] The second construction subunit 342 is used to construct a reducer system efficiency simulation platform according to a preset deep neural network model and a multi-physics field coupling model.

[0272] As an optional implementation, the simulation calculation unit 350 includes:

[0273] A setting subunit 351 is used to set an input quantity according to the reducer cycle working condition to determine the simulation calculation step length;

[0274] The third construction subunit 352 is used to construct a power domain equation according to the reducer system efficiency simulation platform, simulation calculation step and simulation data; wherein the constraints for solving the power domain equation are the rotation speed, torque input and output, the motion constraint equations between the solid parts and the interaction equations between the solid parts and the oil;

[0275] The first calculation subunit 353 is used to solve the power domain equation according to the reducer system efficiency simulation platform to obtain the output shaft speed and output shaft torque;

[0276] The third construction subunit 352 is further used to construct multi-body dynamics equations and fluid dynamics equations according to the reducer system efficiency simulation platform;

[0277] The first calculation subunit 353 is also used to solve the multi-body dynamics equation and the fluid dynamics equation to obtain the movement trend of the oil after being stirred; wherein the fluid dynamics equation is the Navier-Stokes equation of the incompressible viscous fluid;

[0278] The summarizing subunit 354 is used to summarize the output shaft speed, the output shaft torque and the movement trend of the oil after being stirred to obtain simulation data.

[0279] As an optional implementation, the first calculation unit 360 includes:

[0280] The second calculation subunit 361 is used to calculate the oil stirring loss and the bearing loss according to the reducer system efficiency simulation platform and the simulation calculation results;

[0281] An acquisition subunit 362 is used to acquire the diameter of the oil seal installation shaft, the friction force per unit length between the oil seal sealing lip and the shaft circumference, and the target speed of the transmission at each operating point;

[0282] The second calculation subunit 361 is further used to calculate the oil seal friction force according to the reducer system efficiency simulation platform, the diameter of the oil seal installation shaft, and the friction force per unit length between the oil seal sealing lip and the shaft circumference;

[0283] The second calculation subunit 361 is further used to calculate the oil seal friction torque according to the reducer system efficiency simulation platform, the oil seal friction force and the diameter of the oil seal installation shaft;

[0284] The second calculation subunit 361 is further used to calculate the oil seal friction power loss parameter at the target speed at each operating point;

[0285] The second calculation subunit 361 is further used to calculate the oil seal loss according to the reducer system efficiency simulation platform, the oil seal friction power oil seal parameters and the simulation calculation results;

[0286] The second calculation subunit 361 is further used to calculate the primary meshing loss and the secondary meshing loss of each operating point according to the reducer system efficiency simulation platform and the simulation calculation results;

[0287] The second calculation subunit 361 is further used to calculate the meshing loss according to the primary meshing loss and the secondary meshing loss.

[0288] As an optional implementation, the electric drive system reducer efficiency simulation device further includes:

[0289] The optimization unit 390 is used to perform collaborative optimization processing of key components of the reducer simulation model according to the comprehensive efficiency of the reducer cycle working condition to obtain an improved design scheme when the comprehensive efficiency of the reducer cycle working condition does not reach the preset efficiency target;

[0290] The optimization unit 390 is also used to optimize the reducer simulation model according to the improved design scheme to obtain the optimized reducer simulation model, and trigger the simulation unit 330 to execute the reducer simulation model, the actual operating conditions of the pure electric vehicle and the reducer cycle conditions to set the input quantity, and dynamically simulate the reducer under the set conditions to obtain the simulation data.

[0291] In this embodiment, the explanation of the electric drive system reducer efficiency simulation device can refer to the description in Example 1 or Example 2, and will not be further elaborated in this embodiment.

[0292] It can be seen that the implementation of the electric drive system reducer efficiency simulation device described in this embodiment can comprehensively consider the actual working conditions, optimize the reducer design to improve its overall efficiency performance, improve the efficiency simulation accuracy of the reducer in the electric drive system, shorten the design iteration cycle and cost, and is conducive to improving R&D efficiency and overall product performance.

[0293] An embodiment of the present application provides an electronic device, including a memory and a processor, the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute the electric drive system reducer efficiency simulation method in embodiment 1 or embodiment 2 of the present application.

[0294] An embodiment of the present application provides a computer-readable storage medium storing computer program instructions. When the computer program instructions are read and executed by a processor, the electric drive system reducer efficiency simulation method in embodiment 1 or embodiment 2 of the present application is executed.

[0295] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0296] In addition, the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0297] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0298] The above description is only an embodiment of the present application and is not intended to limit the scope of protection of the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application. It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings.

[0299] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0300] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

Claims

1. A method for simulating the efficiency of a reducer of an electric drive system, characterized in that: include: Obtain reducer design parameters, reducer assembly 3D digital model, definition data, actual operating conditions of pure electric vehicles, and reducer cycle condition setting input; Constructing a reducer simulation model according to the reducer design parameters, the three-dimensional digital model of the reducer assembly and the definition data; Based on the reducer simulation model, the actual operating condition of the pure electric vehicle and the reducer cycle condition setting input, dynamically simulate the reducer under the set condition to obtain simulation data; Constructing a reducer system efficiency simulation platform according to the simulation data; Perform simulation calculations according to the reducer system efficiency simulation platform to obtain simulation calculation results; wherein the simulation data includes output shaft speed, output shaft torque, and movement trend of the oil after being stirred; Calculate various types of losses according to the reducer system efficiency simulation platform and the simulation calculation results; wherein the various types of losses at least include meshing loss, oil stirring loss, bearing loss and oil seal loss; Efficiency calculation is performed based on the reducer system efficiency simulation platform and the various types of losses to obtain the comprehensive efficiency of the reducer cycle operating condition; When the comprehensive efficiency of the reducer cycle operating condition reaches a preset efficiency target, the reducer simulation model is output.

2. The electric drive system reducer efficiency simulation method according to claim 1, characterized in that: The constructing of a reducer simulation model according to the reducer design parameters, the three-dimensional digital model of the reducer assembly and the definition data includes: Constructing a three-dimensional simulation model according to the design parameters of the reducer; Performing finite element meshing on the three-dimensional simulation model to obtain a system finite element model; The three-dimensional digital model of the reducer assembly and the definition data are imported into the system finite element model to obtain a reducer simulation model.

3. The electric drive system reducer efficiency simulation method according to claim 1, characterized in that: The definition data at least includes fixed part definition data, moving part definition data, and rotational motion definition data, wherein the rotational motion definition data at least includes a rotation axis and a rotation direction; The three-dimensional simulation model at least includes detailed physical properties of gears, detailed physical properties of bearings, detailed physical properties of oil seals, detailed physical properties of housings and detailed physical properties of lubricating oil; wherein the gears at least include tooth profile, module, and pressure angle; the bearings at least include type, size, and preload; the detailed physical properties of the oil seals at least include structure, material, and sealing clearance; the detailed physical properties of the housing at least include material properties; the detailed physical properties of the lubricating oil at least include viscosity, density, and lubrication state; The actual operating conditions of the pure electric vehicle include at least motor speed, load change, and ambient temperature; The input quantity of the reducer cycle working condition setting includes at least the motor speed, the reducer input torque, the oil temperature, and the ambient temperature; wherein the motor speed and the reducer input torque are both curve working condition points that change with time; The simulation data includes stress data of each component, strain data of each component, temperature distribution data of each component and lubricating oil flow state data.

4. The method for simulating the efficiency of a reducer of an electric drive system according to claim 1, characterized in that: The construction of the reducer system efficiency simulation platform includes: Establishing a multi-physics field coupling model between components inside the reducer system based on the simulation data and the reducer simulation model; According to the preset deep neural network model and the multi-physical field coupling model, a reducer system efficiency simulation platform is constructed.

5. The electric drive system reducer efficiency simulation method according to claim 1, characterized in that: The simulation calculation is performed according to the reducer system efficiency simulation platform to obtain the simulation calculation results, including: Determine the simulation calculation step length according to the input quantity set in the reducer cycle working condition; According to the reducer system efficiency simulation platform, the simulation calculation step and the simulation data, a dynamic domain equation is constructed; wherein the constraint conditions for solving the dynamic domain equation are the rotation speed, the torque input and output, the motion constraint equations between the solid parts and the interaction equations between the solid parts and the oil; Solving the power domain equation according to the reducer system efficiency simulation platform to obtain the output shaft speed and output shaft torque; Constructing multi-body dynamics equations and fluid dynamics equations according to the reducer system efficiency simulation platform; The multi-body dynamics equation and the fluid dynamics equation are solved to obtain the movement trend of the oil after being stirred; wherein the fluid dynamics equation is the Navier-Stokes equation for incompressible viscous fluid; The output shaft speed, the output shaft torque, and the movement trend of the oil after being stirred are summarized to obtain simulation data.

6. The method for simulating the efficiency of a reducer of an electric drive system according to claim 1, characterized in that: The calculation of various types of losses based on the reducer system efficiency simulation platform and the simulation calculation results includes: Calculating oil churning loss and bearing loss according to the reducer system efficiency simulation platform and the simulation calculation results; Obtain the diameter of the oil seal installation shaft, the friction force per unit length between the oil seal lip and the shaft circumference, and the target speed of the transmission at each operating point; Calculate the oil seal friction force according to the reducer system efficiency simulation platform, the diameter of the oil seal mounting shaft, and the friction force per unit length between the oil seal sealing lip and the shaft circumference; Calculating the oil seal friction torque according to the reducer system efficiency simulation platform, the oil seal friction force and the diameter of the oil seal mounting shaft; Calculating the oil seal friction power loss parameter according to the reducer system efficiency simulation platform, the oil seal friction torque and the target speed of the transmission at each operating point; Calculating oil seal loss according to the reducer system efficiency simulation platform, the oil seal friction power oil seal parameters and the simulation calculation results; Calculating the primary meshing loss and the secondary meshing loss at each operating point according to the reducer system efficiency simulation platform and the simulation calculation results; The meshing loss is calculated based on the primary meshing loss and the secondary meshing loss.

7. The method for simulating the efficiency of a reducer of an electric drive system according to claim 1, characterized in that: The method further comprises: When the comprehensive efficiency of the reducer cycle condition does not reach the preset efficiency target, the key components of the reducer simulation model are collaboratively optimized according to the comprehensive efficiency of the reducer cycle condition to obtain an improved design scheme; According to the improved design scheme, the reducer simulation model is optimized to obtain the optimized reducer simulation model, and the input quantity is set based on the reducer simulation model, the actual operating condition of the pure electric vehicle and the reducer cycle condition to dynamically simulate the reducer under the set condition to obtain the simulation data.

8. An electric drive system reducer efficiency simulation device, characterized in that: The electric drive system reducer efficiency simulation device comprises: An acquisition unit, used to acquire reducer design parameters, a three-dimensional digital model of a reducer assembly, definition data, actual operating conditions of a pure electric vehicle, and input quantities for setting a cycle condition of the reducer; A first construction unit is used to construct a reducer simulation model according to the reducer design parameters, the three-dimensional digital model of the reducer assembly and the definition data; A simulation unit, configured to dynamically simulate the reducer under the set working condition based on the reducer simulation model, the actual operating condition of the pure electric vehicle and the reducer cycle working condition setting input quantity to obtain simulation data; A second construction unit is used to construct a reducer system efficiency simulation platform according to the simulation data; A simulation calculation unit, used for performing simulation calculation according to the reducer system efficiency simulation platform to obtain simulation calculation results; wherein the simulation data includes output shaft speed, output shaft torque and movement trend of the oil after being stirred; A first calculation unit is used to calculate various types of losses according to the reducer system efficiency simulation platform and the simulation calculation results; wherein the various types of losses at least include meshing loss, oil stirring loss, bearing loss and oil seal loss; A second calculation unit is used to perform efficiency calculation according to the reducer system efficiency simulation platform and the various types of losses to obtain a comprehensive efficiency of the reducer cycle operating condition; The output unit is used to output the reducer simulation model when the comprehensive efficiency of the reducer cycle operating condition reaches a preset efficiency target.

9. An electronic device, characterized in that: The electronic device comprises a memory and a processor, the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute the electric drive system reducer efficiency simulation method according to any one of claims 1 to 7.

10. A readable storage medium, characterized in that: The readable storage medium stores computer program instructions, and when the computer program instructions are read and executed by a processor, the electric drive system reducer efficiency simulation method according to any one of claims 1 to 7 is executed.

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