Dual-motor drive axle parameter determination method and device and electronic equipment

Abstract

The invention discloses a dual-motor drive axle parameter determination method and device and electronic equipment, relates to the field of vehicle design, and can construct a drive axle parameter optimization model according to a parameter optimization target, to-be-optimized gear pair parameters and an optimization constraint function. Wherein the parameter optimization target comprises the minimum transmission error of each gear pair and the maximum total meshing efficiency; the to-be-optimized gear pair parameters are obtained by combining gear pair geometric parameters related to gear meshing performance and gear pair position parameters related to gear space layout; the optimization constraint function is obtained according to shafting transverse length constraint, shafting longitudinal length constraint, gear bending and contact strength performance constraint and drive axle total speed ratio constraint in the drive axle. And solving the drive axle parameter optimization model according to an optimization algorithm to obtain dual-motor drive axle parameters. The automatic optimization design of the geometric parameters and the spatial position parameters of the gear pair is realized, and the design efficiency is effectively improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicle design, and particularly relates to a dual-motor drive axle parameter method and device and electronic equipment. BACKGROUND

[0002] The dual-motor drive axle system has a wide application prospect due to excellent power performance and economy. However, the space layout requirement of two motors is higher, and the internal space of the drive axle is limited. Therefore, how to arrange the motors and reducers in the limited space while ensuring the performance of the system becomes a problem to be solved. SUMMARY

[0003] In view of the above problems, the present application provides a dual-motor drive axle parameter determination method, device and electronic equipment to achieve the purpose of improving design efficiency. The specific scheme is as follows:

[0004] The first aspect of the present application provides a dual-motor drive axle parameter determination method, comprising:

[0005] According to the parameter optimization target, the to-be-optimized gear pair parameter and the optimization constraint function, a drive axle parameter optimization model is constructed. The parameter optimization target includes: minimum transmission error of each gear pair and maximum total meshing efficiency. The to-be-optimized gear pair parameter is obtained by combining the gear pair geometric parameter related to the gear meshing performance and the gear pair position parameter related to the gear space layout. The optimization constraint function is obtained according to the shaft system transverse length constraint, the shaft system longitudinal length constraint, the gear bending and contact strength performance constraint and the drive axle total speed ratio constraint in the drive axle.

[0006] According to the optimization algorithm, the drive axle parameter optimization model is solved to obtain the dual-motor drive axle parameter.

[0007] In a possible implementation, the determination process of the transmission error of each gear pair and the total meshing efficiency in the parameter optimization target includes:

[0008] Based on the updated gear pair geometric parameter and the operating condition parameter, the tooth surface contact deformation and the tooth surface contact force are determined.

[0009] Based on the tooth surface contact deformation, the tooth surface contact force, the gear contact deformation condition and the load balance condition, the target iteration equation is obtained, and the target iteration equation is solved to obtain the transmission error of each gear pair and the total meshing efficiency in the parameter optimization target.

[0010] In a possible implementation, the solving of the drive axle parameter optimization model according to the optimization algorithm to obtain the dual-motor drive axle parameter includes:

[0011] The non-dominated sorting genetic algorithm solves the solution set of the parameter optimization objective in the drive bridge parameter optimization model to obtain the parameters of the dual-motor drive bridge.

[0012] In one possible implementation, the non-dominated sorting genetic algorithm has a population size of 100, a maximum number of iterations of 50, a convergence threshold of 0.1 for the transmission error of each gear pair, and a convergence threshold of 0.001 for the total meshing efficiency.

[0013] In one possible implementation, the process of determining the lateral length constraint of the shaft system includes:

[0014] The length value determined based on the addendum circle radius of the first gear, the center distance of the first gear pair, the center distance of the second gear pair, the addendum circle radius of the second gear, the angle between the first gear pair and the X-axis, and the angle between the second gear pair and the X-axis is less than the lateral limit of the main reducer.

[0015] In one possible implementation, the process of determining the longitudinal length constraint of the shaft system includes:

[0016] The tip circle diameter of the first gear is smaller than the longitudinal limit of the main reducer.

[0017] In one possible implementation, the process of determining the gear bending and contact strength performance constraints includes:

[0018] For each gear pair, the calculated bending safety factor of the driving gear is greater than the first minimum bending safety factor, the calculated bending safety factor of the driven gear is greater than the second minimum bending safety factor, the calculated contact safety factor of the driving gear is greater than the first minimum contact safety factor, and the calculated contact safety factor of the driven gear is greater than the second minimum contact safety factor.

[0019] In one possible implementation, the process of determining the overall speed ratio constraint of the drive axle includes:

[0020] The first difference and the first sum are equal. The first difference is the difference between the first included angle and the second included angle. The first included angle is the angle between the first gear pair and the X-axis, and the second included angle is the angle between the second gear pair and the X-axis. The first sum is the sum of the first included angle and the third included angle. The third included angle is the angle between the third gear pair and the X-axis.

[0021] A second aspect of this application provides a dual-motor drive axle parameter determination device, comprising:

[0022] The optimization model determination module is used to construct a drive axle parameter optimization model based on the parameter optimization objectives, the parameters of the gear pairs to be optimized, and the optimization constraint functions. The parameter optimization objectives include: minimizing the transmission error of each gear pair and maximizing the overall meshing efficiency. The parameters of the gear pairs to be optimized are obtained by combining the gear pair geometric parameters related to gear meshing performance and the gear pair position parameters related to gear spatial layout. The optimization constraint functions are obtained based on the shaft system lateral length constraint, shaft system longitudinal length constraint, gear bending and contact strength performance constraint, and drive axle overall speed ratio constraint within the drive axle.

[0023] The design parameter determination module is used to solve the optimization model of the drive axle parameters according to the optimization algorithm to obtain the parameters of the dual-motor drive axle.

[0024] A third aspect of this application provides a computer program product including computer-readable instructions that, when executed on an electronic device, cause the electronic device to implement the dual-motor drive bridge parameter determination method described in the first aspect or any implementation thereof.

[0025] A fourth aspect of this application provides an electronic device, including at least one processor and a memory connected to the processor, wherein:

[0026] The memory is used to store computer programs;

[0027] The processor is used to execute the computer program so that the electronic device can implement the dual-motor drive bridge parameter determination method of the first aspect or any implementation thereof.

[0028] The fifth aspect of this application provides a computer storage medium carrying one or more computer programs, which, when executed by an electronic device, enable the electronic device to implement the dual-motor drive bridge parameter determination method described in the first aspect or any implementation thereof.

[0029] By employing the above technical solution, the dual-motor drive axle parameter determination method provided in this application can construct a drive axle parameter optimization model based on parameter optimization objectives, gear pair parameters to be optimized, and optimization constraint functions. The parameter optimization objectives include minimizing the transmission error of each gear pair and maximizing the overall meshing efficiency. The gear pair parameters to be optimized are obtained by combining the gear pair geometric parameters related to gear meshing performance and the gear pair position parameters related to gear spatial layout. The optimization constraint functions are obtained based on the lateral length constraint of the shaft system, the longitudinal length constraint of the shaft system, the gear bending and contact strength performance constraint, and the overall speed ratio constraint of the drive axle. The drive axle parameter optimization model is then solved using an optimization algorithm to obtain the dual-motor drive axle parameters. This achieves automatic optimization design of the geometric and spatial position parameters of the gear pairs related to the motors, avoiding the cumbersome design method of repeatedly adjusting parameters and effectively improving design efficiency. Attached Figure Description

[0030] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and the originals and elements are not necessarily drawn to scale.

[0031] Figure 1 A flowchart of a method for determining the parameters of a dual-motor drive bridge provided in this application;

[0032] Figure 2 A diagram illustrating the process of determining an objective function provided in this application;

[0033] Figure 3 This application provides a structural diagram of a dual-motor drive bridge;

[0034] Figure 4 A structural diagram of a dual-motor drive bridge parameter determination device provided in this application;

[0035] Figure 5 This is a structural diagram of an electronic device provided in this application. Detailed Implementation

[0036] The embodiments of this application are described below with reference to the accompanying drawings. The terminology used in the implementation section of this application is for explaining specific embodiments only and is not intended to limit the scope of this application.

[0037] The embodiments of this application will now be described with reference to the accompanying drawings. Those skilled in the art will recognize that, with technological advancements and the emergence of new scenarios, the technical solutions provided in the embodiments of this application are equally applicable to similar technical problems.

[0038] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such terms are interchangeable where appropriate; this is merely a way of distinguishing objects with the same attributes in the embodiments of this application. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion, so that a process, method, system, product, or apparatus that comprises a series of elements is not necessarily limited to those elements, but may include other elements not explicitly listed or inherent to those processes, methods, products, or apparatuses.

[0039] Dual-motor drive axle systems have broad application prospects due to their excellent power and economy. However, the two motors place higher demands on space arrangement. How to arrange the motors and reducers within a limited space while ensuring system performance is a problem that engineers need to solve.

[0040] Conventional design methods require continuous adjustment of gear parameters in the system to meet the space and performance requirements of the dual-motor drive axle, resulting in long design cycles and repeated scheme adjustments.

[0041] To address the aforementioned problems, this application provides a method for determining the parameters of a dual-motor drive bridge. The method for determining the parameters of a dual-motor drive bridge according to this application will be described in detail below with reference to the accompanying drawings.

[0042] Reference Figure 1 , Figure 1 This application provides a flowchart illustrating a method for determining parameters of a dual-motor drive bridge, as shown in the embodiments below. Figure 1 As shown in the figure, the method for determining the parameters of a dual-motor drive bridge provided in this application embodiment may include steps S101 to S102, which are described in detail below.

[0043] S101. Based on the parameter optimization objectives, the parameters of the gear pairs to be optimized, and the optimization constraint functions, construct a drive axle parameter optimization model. The parameter optimization objectives include: minimizing the transmission error of each gear pair and maximizing the total meshing efficiency. The parameters of the gear pairs to be optimized are obtained by combining the gear pair geometric parameters related to gear meshing performance and the gear pair position parameters related to gear spatial layout. The optimization constraint functions are obtained based on the shaft system transverse length constraint, shaft system longitudinal length constraint, gear bending and contact strength performance constraint, and drive axle total speed ratio constraint within the drive axle.

[0044] Specifically, refer to Figure 3The diagram shows the structure of a dual-motor drive axle system. The system includes two motors, Motor 1 and Motor 2, and their corresponding drive shafts. Due to space constraints in the chassis, the total axial length of the axle is limited to L, and the longitudinal space is limited to H by the axle package dimensions. The gear pairs constrained by system space include input / output gear pairs O1 and O2, motor 1 shaft gear pair O2 and O3, and motor 2 shaft gear pair O2 and O4. These four gear shafts together form a quadrilateral O1 O3 O2 O4. Therefore, the core of the shaft design for the dual-motor drive axle system is to optimize the side lengths and angles of quadrilateral O1 O3 O2 O4.

[0045] The spatial position and contact performance of the gear pair O1O2 are affected by the angle. and Due to constraints, the macroscopic parameters of O2O3 and O2O4 in the gear pair are the same, and their spatial position and contact performance are jointly affected. , , and Constraints.

[0046] Therefore, the gear pair parameters to be optimized can be divided into two categories: the first category is the gear pair geometric parameters related to gear meshing performance, and the second category is the gear pair position parameters related to gear spatial layout. For example... Figure 3 As shown, the geometric parameters of the gear pair O2O3 and gear pair O2O4 in the transmission system are completely identical. Therefore, the optimization variables related to the macroscopic geometric parameters include 12: These represent the number of teeth on the driving gear, the number of teeth on the driven gear, the module, the pressure angle, the helix angle, and the center distance of the gear pair, respectively. The parameters related to the gear spatial layout include three: In this case, the O2O3 and O2O4 of the gear pair should be symmetrically distributed about the axis O1O2. and Constraints need to be applied within the constraint function.

[0047] For the parameter optimization objectives, the dual-motor drive axle system mainly focuses on two performance indicators: vibration and noise, and efficiency. The system's vibration and noise performance is related to the gear transmission error, while the output wheel meshing efficiency is related to the meshing power loss. Therefore, the first optimization objective function can be determined as the comprehensive transmission error:

[0048] TE represents the overall transmission error of the system. i p represents the transmission error of each gear pair. i represents the weighting coefficient, and n represents the total number of gear pairs in the system.

[0049] The second optimization objective function is the overall meshing efficiency of the system. .

[0050] Here, the variable η represents the system meshing efficiency, and a larger value is desirable. The variable TE represents the transmission error, and a smaller value is desirable. Since optimization models often solve for the system's minimum value, maximizing the system meshing efficiency is changed to minimizing the negative value of the system meshing efficiency.

[0051] In addition, further constraints are needed, mainly including four aspects:

[0052] Lateral length constraint of shaft system: The total lateral length of the shaft system shall not exceed the design length L. The lateral design length is controlled by the outer diameter of the driven gear O1O2, the outer diameter of the driving gear O2O4, and the center distance.

[0053] Longitudinal length constraint of shaft system: The total longitudinal height of the shaft system shall not exceed the design height H, and the longitudinal design height H shall be controlled by the outer diameter of the driven wheel of gear pair O1O2.

[0054] Gear bending and contact strength performance constraints: The design of the driving and driven gears of the main gear pair must meet the corresponding minimum contact safety parameters.

[0055] Drive axle overall speed ratio constraint: The overall speed ratio of the system meets the design requirements.

[0056] S102. Solve the optimization model of the drive axle parameters according to the optimization algorithm to obtain the parameters of the dual-motor drive axle.

[0057] Based on the above-mentioned optimized model of drive axle parameters, the parameters of the gear pair to be optimized are found through the corresponding optimization algorithm, thereby determining the geometric parameters and spatial position parameters of the gear pair of the drive axle, realizing the automatic optimization design of the dual-motor drive axle system, effectively reducing the workload of manually and repeatedly adjusting the design parameters, and improving the efficiency of dual-motor drive axle parameter design.

[0058] In another embodiment, the process of determining the transmission error of each gear pair and the total meshing efficiency in the above-mentioned parameter optimization objectives includes:

[0059] Based on the updated gear pair geometry parameters and operating condition parameters, the tooth surface contact deformation and tooth surface contact force are determined.

[0060] Based on tooth surface contact deformation, tooth surface contact force, gear contact deformation conditions, and load balance conditions, the target iterative equation is obtained, and the transmission error of each gear pair and the total meshing efficiency in the parameter optimization objective are obtained by solving the target iterative equation.

[0061] Specifically, the process for determining the transmission error of the first optimization objective function and the meshing efficiency of the second optimization objective function can be referred to... Figure 2As shown, the first step is to determine the gear pair geometry parameters of the dual-motor drive axle system, as well as the operating parameters of the dual-motor drive axle system, including the system's input torque, input speed, and lubrication parameters.

[0062] Then, considering the gear contact deformation condition and load balance condition, the following system iterative equation is established. By solving the iterative equation, the meshing efficiency and transmission error of the system are calculated:

[0063]

[0064]

[0065] in, , and These represent the deformations of the gear due to bending, shearing, and contact, respectively. Z represents the rigid rotational amount of the gear pair without considering deformation, and d0 represents the initial meshing clearance between the meshing teeth. This represents the frictional force on the tooth surface. This represents the normal force of tooth surface contact, where m and n represent the number of contact points in the tooth direction and tooth height direction, respectively, and r... ij Let represent the radial vector from the contact point in the i-th row and j-th column of the tooth surface to the center of rotation of the gear. This indicates the load torque of the gear pair. and These represent the convergence tolerances for deformation compatibility conditions and load equilibrium conditions, respectively.

[0066] It is understood that those skilled in the art can select and adjust the above deformation compatibility conditions and load balance conditions as needed, and no restrictions are imposed here.

[0067] In other implementations, to further improve the speed and accuracy of parameter design, the drive axle parameter optimization model is solved using an optimization algorithm to obtain the dual-motor drive axle parameters, which may specifically include:

[0068] The non-dominated sorting genetic algorithm solves the solution set of the parameter optimization objective in the drive axle parameter optimization model to obtain the dual-motor drive axle parameters.

[0069] Specifically, the second-generation non-dominated sorting genetic algorithm (NSGA-II) solves the Pareta solution sets for two optimization objectives, TE and -η. The population size of the NSGA-II optimization algorithm is set to 100, the maximum number of iterations is set to 50 generations, the convergence threshold of TE is set to 0.1, and the convergence threshold of η is set to 0.001.

[0070] It is understood that those skilled in the art can adjust the parameters of the above optimization algorithm as needed, which will not be elaborated here.

[0071] In other embodiments, the process of determining each constraint in the above constraint function may specifically include:

[0072] The process of determining the lateral length constraint of the shaft system includes:

[0073] The length value determined based on the addendum circle radius of the first gear, the center distance of the first gear pair, the center distance of the second gear pair, the addendum circle radius of the second gear, the angle between the first gear pair and the X-axis, and the angle between the second gear pair and the X-axis is less than the lateral limit of the main reducer.

[0074] Specifically, the lateral length constraint function of the shaft system is expressed as:

[0075]

[0076] Where, r a1 The radius of the addendum circle of gear O1 is represented by r. a4 A1 represents the distance between O1 and O2, and A3 represents the distance between O2 and O4. and These represent the angles between the gear pairs O1O2 and O2O4 and the x-axis, respectively.

[0077] The process of determining the longitudinal length constraint of the shaft system includes:

[0078] The tip circle diameter of the first gear is smaller than the longitudinal limit of the main reducer.

[0079] Specifically, the longitudinal length constraint function of the shaft system is expressed as:

[0080]

[0081] in, H represents the tip circle diameter of gear O1, and H represents the longitudinal height limit of the main reducer.

[0082] The process of determining the constraints on gear bending and contact strength performance includes:

[0083] For each gear pair, the calculated bending safety factor of the driving gear is greater than the first minimum bending safety factor, the calculated bending safety factor of the driven gear is greater than the second minimum bending safety factor, the calculated contact safety factor of the driving gear is greater than the first minimum contact safety factor, and the calculated contact safety factor of the driven gear is greater than the second minimum contact safety factor.

[0084] Specifically, the constraint functions for gear bending and contact strength performance are expressed as follows:

[0085]

[0086] in, and Let represent the bending strength constraint functions for the driving gear and the driven gear, respectively. and Let represent the driving and driven gears of the i-th gear pair, respectively, for calculating the bending safety factor. and Let represent the minimum bending safety factors for the driving and driven gears of the i-th gear pair, respectively. and Let represent the contact strength constraint functions for the driving gear and the driven gear, respectively. and Let represent the contact safety factors for the driving and driven gears of the i-th gear pair, respectively. and denoted as the minimum contact safety factor for the driving gear and driven gear of the i-th gear pair, respectively.

[0087] The process of determining the overall speed ratio constraint of the drive axle includes:

[0088] The first difference and the first sum are equal. The first difference is the difference between the first included angle and the second included angle. The first included angle is the angle between the first gear pair and the X-axis, and the second included angle is the angle between the second gear pair and the X-axis. The first sum is the sum of the first included angle and the third included angle. The third included angle is the angle between the third gear pair and the X-axis.

[0089] Specifically, the overall speed ratio constraint function of the drive axle is:

[0090]

[0091] in, This indicates the angle between the gear pair O2O3 and the X-axis.

[0092] Based on the above constraint functions, the resulting drive axle parameter optimization model can be expressed as:

[0093]

[0094] in, and O1 and O2 represent the number of teeth of the driving and driven gears in the first-stage gear pair, respectively, and mn1 represents the module of the first-stage gear pair. This indicates the pressure angle of the first-stage gear pair. A1 represents the helix angle of the first-stage gear pair and the center distance of the first-stage gear pair. and These represent the number of teeth on the driving and driven gears of the second-stage gear pair (including gear pairs O2O3 and O2O4), respectively, and mn2 represents the module of the second-stage gear pair. This indicates the pressure angle of the second-stage gear pair. A1 represents the helix angle of the second-stage gear pair and the center distance of the second-stage gear pair.

[0095] In a specific embodiment, the parameters of the dual-motor drive axle system obtained based on the above drive axle parameter optimization model are shown in Table 1 below:

[0096] Table 1

[0097]

[0098] Compared to the current parameter design method that requires constant adjustment of gear parameters in the system to meet the space and performance requirements of the dual-motor drive axle, this dual-motor drive axle parameter determination method can effectively improve the efficiency of parameter determination and provide convenience for vehicle design.

[0099] The above describes a method for determining the parameters of a dual-motor drive bridge provided by the embodiments of this application. The following will describe the apparatus for performing the above-described method for determining the parameters of a dual-motor drive bridge.

[0100] Please see Figure 4 , Figure 4 This is a schematic diagram of a dual-motor drive bridge parameter determination device provided in an embodiment of this application. Figure 4 As shown, the dual-motor drive axle parameter determination device includes:

[0101] The optimization model determination module 401 is used to construct a drive axle parameter optimization model based on the parameter optimization objectives, the parameters of the gear pairs to be optimized, and the optimization constraint functions. The parameter optimization objectives include: minimizing the transmission error of each gear pair and maximizing the overall meshing efficiency. The parameters of the gear pairs to be optimized are obtained by combining the gear pair geometric parameters related to gear meshing performance and the gear pair position parameters related to gear spatial layout. The optimization constraint functions are obtained based on the shaft system lateral length constraint, shaft system longitudinal length constraint, gear bending and contact strength performance constraint, and drive axle overall speed ratio constraint within the drive axle.

[0102] The design parameter determination module 402 is used to solve the drive axle parameter optimization model according to the optimization algorithm to obtain the dual-motor drive axle parameters.

[0103] In one possible implementation, the process of determining the transmission error of each gear pair and the total meshing efficiency in the parameter optimization objective of the optimization model determination module 401 includes:

[0104] Based on the updated gear pair geometry parameters and operating condition parameters, the tooth surface contact deformation and tooth surface contact force are determined.

[0105] Based on tooth surface contact deformation, tooth surface contact force, gear contact deformation conditions, and load balance conditions, the target iterative equation is obtained, and the transmission error of each gear pair and the total meshing efficiency in the parameter optimization objective are obtained by solving the target iterative equation.

[0106] In one possible implementation, the process by which the design parameter determination module 402 solves the drive axle parameter optimization model using an optimization algorithm to obtain the dual-motor drive axle parameters includes:

[0107] The non-dominated sorting genetic algorithm solves the solution set of the parameter optimization objective in the drive axle parameter optimization model to obtain the dual-motor drive axle parameters.

[0108] In one possible implementation, the population size of the non-dominated sorting genetic algorithm in the design parameter determination module 402 is 100, the maximum number of iterations is 50, the convergence threshold for the transmission error of each gear pair is 0.1, and the convergence threshold for the total meshing efficiency is 0.001.

[0109] In one possible implementation, the process of determining the lateral length constraint of the shaft system in the optimization model determination module 401 includes:

[0110] The length value determined based on the addendum circle radius of the first gear, the center distance of the first gear pair, the center distance of the second gear pair, the addendum circle radius of the second gear, the angle between the first gear pair and the X-axis, and the angle between the second gear pair and the X-axis is less than the lateral limit of the main reducer.

[0111] In one possible implementation, the process of determining the longitudinal length constraint of the shaft system in the optimization model determination module 401 includes:

[0112] The tip circle diameter of the first gear is smaller than the longitudinal limit of the main reducer.

[0113] In one possible implementation, the process of determining the gear bending and contact strength performance constraints in the optimization model determination module 401 includes:

[0114] For each gear pair, the calculated bending safety factor of the driving gear is greater than the first minimum bending safety factor, the calculated bending safety factor of the driven gear is greater than the second minimum bending safety factor, the calculated contact safety factor of the driving gear is greater than the first minimum contact safety factor, and the calculated contact safety factor of the driven gear is greater than the second minimum contact safety factor.

[0115] In one possible implementation, the process of determining the overall speed ratio constraint of the drive axle in the optimization model determination module 401 includes:

[0116] The first difference and the first sum are equal. The first difference is the difference between the first included angle and the second included angle. The first included angle is the angle between the first gear pair and the X-axis, and the second included angle is the angle between the second gear pair and the X-axis. The first sum is the sum of the first included angle and the third included angle. The third included angle is the angle between the third gear pair and the X-axis.

[0117] This application also provides an electronic device in its embodiments. (See reference...) Figure 5 The diagram illustrates a structural schematic suitable for implementing the electronic device in the embodiments of this application. The electronic device in the embodiments of this application may include, but is not limited to, fixed terminals such as laptops, desktop computers, etc. Figure 5 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0118] like Figure 5 As shown, the electronic device may include a processing unit (e.g., a central processing unit, a graphics processing unit, etc.) 501, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 502 or a program loaded from a storage device 508 into a random access memory (RAM) 503. When the electronic device is powered on, the RAM 503 also stores various programs and data required for the operation of the electronic device. The processing unit 501, ROM 502, and RAM 503 are interconnected via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0119] Typically, the following devices can be connected to I / O interface 505: input devices 506 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 507 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 508 including, for example, memory cards, hard drives, etc.; and communication devices 509. Communication device 509 allows electronic devices to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 5 Electronic devices with various devices are shown, but it should be understood that it is not required to implement or have all of the devices shown. More or fewer devices may be implemented or have alternatively.

[0120] This application also provides a computer program product including computer-readable instructions, which, when executed on an electronic device, cause the electronic device to implement any of the dual-motor drive bridge parameter determination methods provided in this application.

[0121] This application also provides a computer-readable storage medium carrying one or more computer programs. When the one or more computer programs are executed by an electronic device, the electronic device can implement any of the dual-motor drive bridge parameter determination methods provided in this application.

[0122] It should also be noted that 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; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. In addition, in the device embodiment drawings provided in this application, the connection relationship between modules indicates that they have a communication connection, which can be implemented as one or more communication buses or signal lines.

[0123] Through the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus necessary general-purpose hardware, or it can be implemented by special-purpose hardware including application-specific integrated circuits, special-purpose CPUs, special-purpose memory, special-purpose components, etc. Generally, any function performed by a computer program can be easily implemented by corresponding hardware, and the specific hardware structure used to implement the same function can also be diverse, such as analog circuits, digital circuits, or special-purpose circuits. However, for this application, software program implementation is more often the preferred implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a readable storage medium, such as a computer floppy disk, USB flash drive, mobile hard disk, ROM, RAM, magnetic disk, or optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, training equipment, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0124] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product.

[0125] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, training device, or data center to another website, computer, training device, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a training device or data center that integrates one or more available media. The available media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state drives (SSDs)).

Claims

1. A method for determining parameters of a dual-motor drive bridge, characterized in that, The application relates to a parameter optimization method for a double-motor driving bridge. The parameter optimization model of the driving bridge is solved according to an optimization algorithm to obtain the parameters of the double-motor driving bridge. The determination process of the transmission error and the total meshing efficiency in the parameter optimization target comprises the following steps:

2. The dual-motor drive axle parameter determination method of claim 1, wherein, The tooth surface contact deformation and the tooth surface contact force are determined based on the updated gear pair geometric parameters and the operating condition parameters. The target iteration equation is obtained based on the tooth surface contact deformation, the tooth surface contact force, the gear contact deformation condition and the load balance condition, and the transmission error and the total meshing efficiency in the parameter optimization target are obtained by solving the target iteration equation. The non-dominated sorting genetic algorithm is used to solve the solution set of the parameter optimization target in the parameter optimization model of the driving bridge to obtain the parameters of the double-motor driving bridge.

3. The dual-motor drive axle parameter determination method of claim 1, wherein, The population number of the non-dominated sorting genetic algorithm is 100, the maximum iteration number is 50, the convergence threshold of the transmission error of each gear pair is 0.1, and the convergence threshold of the total meshing efficiency is 0.

001. The determination process of the shaft system transverse length constraint comprises the following steps:

4. The dual-motor drive axle parameter determination method of claim 3, wherein, The length value determined based on the addendum circle radius of the first gear, the center distance of the first gear pair, the center distance of the second gear pair, the addendum circle radius of the second gear, the included angle between the first gear pair and the X-axis and the included angle between the second gear pair and the X-axis is smaller than the transverse limit value of the main reducer.

5. The dual-motor drive axle parameter determination method according to any one of claims 1 to 4, characterized in that, The determination process of the shaft system longitudinal length constraint comprises the following steps: The addendum circle diameter of the first gear is smaller than the longitudinal limit value of the main reducer.

6. The dual-motor drive axle parameter determination method according to any one of claims 1 to 4, characterized in that, The determination process of the gear bending and contact strength performance constraint comprises the following steps: For each gear pair, the calculated bending safety factor of the driving gear is greater than the first minimum bending safety factor, the calculated bending safety factor of the driven gear is greater than the second minimum bending safety factor, the calculated contact safety factor of the driving gear is greater than the first minimum contact safety factor, and the calculated contact safety factor of the driven gear is greater than the second minimum contact safety factor.

7. The dual-motor drive axle parameter determination method according to any one of claims 1 to 4, characterized in that, The determination process of the driving bridge total speed ratio constraint comprises the following steps: The first difference value and the first sum value are equal, the first difference value is the difference between the first included angle and the second included angle, the first included angle is the included angle between the first gear pair and the X-axis, and the second included angle is the included angle between the second gear pair and the X-axis; the first sum value is the sum of the first included angle and the third included angle, and the third included angle is the included angle between the third gear pair and the X-axis.

8. The dual-motor drive axle parameter determination method according to any one of claims 1 to 4, characterized in that, The application relates to a parameter optimization method for a double-motor driving bridge. ​ 9. A dual-motor drive axle parameter determination apparatus characterized by comprising: ​ An optimization model determining module is configured to construct a drive axle parameter optimization model according to a parameter optimization target, to-be-optimized gear pair parameters and an optimization constraint function, wherein the parameter optimization target comprises minimum transmission error of each gear pair and maximum total meshing efficiency; the to-be-optimized gear pair parameters are obtained by combining gear pair geometric parameters related to gear meshing performance and gear pair position parameters related to gear spatial layout; the optimization constraint function is obtained according to shaft system transverse length constraint, shaft system longitudinal length constraint, gear bending and contact strength performance constraint and drive axle total speed ratio constraint inside the drive axle; and A design parameter determining module is configured to solve the drive axle parameter optimization model according to an optimization algorithm to obtain the dual-motor drive axle parameters.

10. An electronic device, comprising: An electronic device comprising at least one processor and a memory connected to the processor, wherein: The memory is configured to store a computer program; The processor is configured to execute the computer program to enable the electronic device to implement the dual-motor drive axle parameter determination method according to any one of claims 1 to 8. An electronic device comprising at least one processor and a memory connected to the processor, wherein: The memory is configured to store a computer program; The processor is configured to execute the computer program to enable the electronic device to implement the dual-motor drive axle parameter determination method according to any one of claims 1 to 8.

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