Method and device for determining refueling amount of electric-driven speed reducer, storage medium and equipment

Through the simulation analysis of the splash lubrication and ventilation performance of simulated electric drive reducer, iterative optimization determines the optimal refueling volume, solving the problem of the large labor cost of determining the refueling volume of the electric drive reducer, and improving product development efficiency and competitiveness.

CN119294033APending Publication Date: 2025-01-10CHINA FAW CO LTD
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Patent Information

Application Number
CN202411145778.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-08-20
Publication Date
2025-01-10

AI Technical Summary

Technical Problem

The way to determine the refueling volume of the electric drive reducer requires a lot of labor costs, affecting the product development cycle, and thus reducing the competitiveness of the product.

Method used

Splash lubrication simulation analysis and ventilation performance simulation analysis based on simulated electric drive reducer are used to determine the optimal refueling volume through iterative optimization, meet the lubrication performance and ventilation performance indicators, reduce repeated tests, reduce labor costs and development cycles.

Benefits of technology

It effectively reduces labor costs, shortens product development cycle, improves the reliability and efficiency of electric drive reducers, and enhances the competitiveness of products.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention provides an electric drive speed reducer refueling amount determination method and device, a storage medium and equipment, and the method comprises the steps: carrying out the splash lubrication simulation analysis and ventilation performance simulation analysis of a simulation electric drive speed reducer based on the initial refueling amount, and obtaining a simulation result; when the simulation result indicates that the simulation electric drive speed reducer meets the lubrication performance index and the ventilation performance index at the same time, the oil adding amount is reduced, splash lubrication simulation analysis continues till the simulation electric drive speed reducer does not meet the lubrication performance index under the set of the adjusted oil adding amount, and the optimal oil adding amount is determined through the iterative optimization process. Thus, simulation iteration is used for determining the optimal oil adding amount of the electric drive speed reducer, it is not needed to repeatedly design different oil amounts to conduct multi-working-condition tests, the labor cost is effectively reduced, the development period of products is shortened, and therefore the competitiveness of the products is improved.
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Description

Technical Field

[0001] The present application relates to the technical field of electric drive systems, and in particular to a method, device, storage medium and equipment for determining the amount of fuel to be refueled in an electric drive reducer. Background Art

[0002] The reliability and efficiency of the product are what designers need to focus on. In the development process of electric drive reducers, determining an optimal refueling amount is of great significance to improving the reliability and efficiency of electric drive reducers. At present, the refueling amount of electric drive reducers is mainly determined by experiments, that is, by increasing or decreasing the amount of oil in the reducer, conducting minimum and maximum refueling amount tests, and finally determining the optimal refueling amount. However, due to the large number of assessment conditions, this method requires a lot of manpower costs, affects the product development cycle, and thus leads to a decline in product competitiveness. Summary of the invention

[0003] The purpose of this application is to provide a method, device, storage medium and equipment for determining the refueling amount of an electric drive reducer, aiming to solve the problem that the method for determining the refueling amount of an electric drive reducer in the related art requires a large amount of manpower cost, affects the product development cycle, and thus leads to a decline in product competitiveness.

[0004] In a first aspect, the present application provides a method for determining the amount of oil to be added to an electric drive reducer, comprising: performing splash lubrication simulation analysis and ventilation performance simulation analysis on a simulated electric drive reducer based on an initial oil addition amount to obtain a simulation result; the simulated electric drive reducer is a simulation model of the electric drive reducer assembly structure; when the simulation result indicates that the simulated electric drive reducer satisfies both the lubrication performance index and the ventilation performance index, iteratively executing the steps of reducing the amount of oil to be added and performing splash lubrication simulation analysis on the simulated electric drive reducer until the simulated electric drive reducer fails to meet the lubrication performance index under the setting of the adjusted oil addition amount; at the end of the iteration, determining the adjusted oil addition amount in the previous iteration as the optimal oil addition amount.

[0005] In the above implementation process, based on the initial refueling amount, the simulated electric drive reducer is subjected to splash lubrication simulation analysis and ventilation performance simulation analysis to obtain simulation results. When the simulation results indicate that the simulated electric drive reducer satisfies both the lubrication performance index and the ventilation performance index, the refueling amount is reduced, and the splash lubrication simulation analysis is continued until the simulated electric drive reducer does not meet the lubrication performance index under the adjusted refueling amount setting. Through this iterative optimization process, the optimal refueling amount is determined. In this way, the optimal refueling amount of the electric drive reducer is determined by using simulation iteration, and there is no need to repeatedly design different oil amounts for multiple working condition tests, which effectively reduces labor costs and shortens the product development cycle. The determined optimal refueling amount can meet the high reliability, high efficiency and low cost requirements for the development of electric drive reducers, thereby improving the competitiveness of the product.

[0006] Furthermore, in some examples, the initial refueling amount is determined based on historical refueling amount data of similar products of the simulated electric drive reducer.

[0007] In the above implementation process, the initial refueling volume is set according to the historical refueling volume data of the same type of products, which effectively reduces the frequent changes in structural design caused by unreasonable benchmark refueling volume designed in the initial stage of the test, thereby reducing labor costs and improving product development efficiency.

[0008] Further, in some examples, the splash lubrication simulation analysis and ventilation performance simulation analysis of the simulated electric drive reducer based on the initial refueling amount include: setting splash lubrication simulation conditions based on the initial refueling amount and the splash lubrication simulation conditions, and setting ventilation performance simulation conditions based on the initial refueling amount and the ventilation performance simulation conditions; performing splash lubrication simulation analysis on the simulated electric drive reducer according to the splash lubrication simulation conditions, and performing ventilation performance simulation analysis on the simulated electric drive reducer according to the ventilation performance simulation conditions.

[0009] In the above implementation process, a specific method for performing splash lubrication simulation analysis and ventilation performance simulation analysis on a simulated electric drive reducer is provided.

[0010] Furthermore, in some examples, the splash lubrication simulation conditions include the amount of oil added to the simulated electric drive reducer, and the corresponding assembly inclination angle and output speed under each splash lubrication simulation condition; the ventilation performance simulation conditions include the amount of oil added to the simulated electric drive reducer, and the corresponding assembly inclination angle and output speed under each ventilation performance simulation condition.

[0011] In the above implementation process, for the splash lubrication simulation condition or the ventilation performance simulation condition, the corresponding assembly inclination angle and output speed are set, and then combined with the initial refueling amount to form the simulation conditions. In this way, the simulation boundary conditions that are the same as the test conditions can be set quickly and accurately, effectively shortening the test time.

[0012] Furthermore, in some examples, the lubrication performance index includes: in a stable state, sufficient oil reaches each lubrication position in the reducer; the ventilation performance index includes: no lubricating oil in a droplet state leaks from the vent plug position during the test time.

[0013] In the above implementation process, a standard is provided that can be used to measure the lubrication performance and ventilation performance in the reducer.

[0014] Furthermore, in some examples, the method also includes: when the simulation results indicate that the simulated electric drive reducer does not meet the lubrication performance index and / or ventilation performance index, outputting a prompt message so that the user can modify the electric drive reducer assembly structure according to the prompt message.

[0015] In the above implementation process, under the simulation condition based on the initial refueling amount, if the simulation results show that the current assembly structure cannot meet the lubrication performance index and the ventilation performance index at the same time, a prompt message is output to prompt the user to modify the assembly structure, so that the test equipment can re-simulate and analyze based on the modified assembly structure to improve development efficiency.

[0016] Further, in some examples, the iterative execution of the steps of reducing the refueling amount and performing splash lubrication simulation analysis on the simulated electric drive reducer until the simulated electric drive reducer does not meet the lubrication performance index under the adjusted refueling amount setting includes: iteratively executing the following steps until the iteration end condition is met: adjusting the current refueling amount according to the target oil amount gradient so that the adjusted refueling amount is less than the current refueling amount; performing splash lubrication simulation analysis on the simulated electric drive reducer based on the adjusted refueling amount, and detecting whether the simulated electric drive reducer meets the lubrication performance index under the adjusted refueling amount setting; the iteration end condition includes the check result being no.

[0017] In the above implementation process, after the simulation results show that the lubrication performance index and the ventilation performance index are achieved at the same time, the oil filling amount is reduced according to a certain oil amount gradient, and then the simulated electric drive reducer is simulated and analyzed for splash lubrication, and it is detected whether the simulated electric drive reducer meets the lubrication performance index under the current oil filling amount. If yes, the next iteration is performed, otherwise the iteration is terminated. In this way, the optimal oil filling amount of the electric drive reducer is determined by using simulation iteration, and there is no need to repeatedly design different oil amounts for multiple working conditions, thereby effectively improving the development efficiency of the electric drive reducer.

[0018] Further, in some examples, the target fuel amount gradient is determined based on the size of the initial fueling amount.

[0019] In the above implementation process, a setting method of the target fuel volume gradient is provided, that is, a fixed fuel volume gradient value is set based on the size of the initial fueling amount.

[0020] Further, in some examples, the target oil gradient is determined based on simulation results of a previous iteration.

[0021] In the above implementation process, another setting method of the target oil gradient is provided, that is, dynamically adjusting the oil gradient value according to the simulation results of the previous iteration. In this way, while improving the calculation efficiency of iterative optimization, sufficient lubrication safety margin is reserved for the reducer.

[0022] In a second aspect, the present application provides a device for determining the amount of fuel to be added to an electric drive reducer, comprising: a simulation module, for performing splash lubrication simulation analysis and ventilation performance simulation analysis on a simulated electric drive reducer based on an initial fuel amount to obtain a simulation result; the simulated electric drive reducer is a simulation model of the assembly structure of the electric drive reducer; an iteration module, for iteratively executing the steps of reducing the amount of fuel to be added and performing splash lubrication simulation analysis on the simulated electric drive reducer when the simulation result indicates that the simulated electric drive reducer satisfies both the lubrication performance index and the ventilation performance index, until the simulated electric drive reducer fails to meet the lubrication performance index under the setting of the adjusted fuel amount; a determination module, for determining the adjusted fuel amount in the previous iteration as the optimal fuel amount at the end of the iteration.

[0023] In a third aspect, the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method described in any one of the first aspects when executing the computer program.

[0024] In a fourth aspect, the present application provides a computer-readable storage medium, on which instructions are stored. When the instructions are executed on a computer, the computer executes the method as described in any one of the first aspects.

[0025] In a fifth aspect, the present application provides a computer program product, which, when running on a computer, enables the computer to execute the method as described in any one of the first aspects.

[0026] Other features and advantages disclosed in the present application will be described in the following description, or some features and advantages can be inferred or determined without doubt from the description, or can be learned by implementing the above-mentioned technology disclosed in the present application.

[0027] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] 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.

[0029] Figure 1 A flow chart of a method for determining the amount of fuel for an electric drive reducer provided in an embodiment of the present application;

[0030] Figure 2 A schematic diagram of a workflow of a solution for determining and optimizing the amount of fuel for an electric drive reducer provided in an embodiment of the present application;

[0031] Figure 3 A block diagram of a device for determining the amount of fuel for an electric drive reducer provided in an embodiment of the present application;

[0032] Figure 4 A structural block diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0033] 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.

[0034] 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.

[0035] As described in the background technology, the related art method for determining the refueling amount of an electric drive reducer requires a lot of manpower costs, affects the product development cycle, and thus reduces the competitiveness of the product. Based on this, the embodiment of the present application provides a new solution for determining the refueling amount of an electric drive reducer to solve the above problem.

[0036] Next, the embodiments of the present application are introduced:

[0037] like Figure 1 As shown, Figure 1 : is a flow chart of a method for determining the amount of fuel for an electric drive reducer provided in an embodiment of the present application, the method comprising:

[0038] Step 101: Perform splash lubrication simulation analysis and ventilation performance simulation analysis on the simulated electric drive reducer based on the initial refueling amount to obtain a simulation result; the simulated electric drive reducer is a simulation model of the electric drive reducer assembly structure;

[0039] The electric drive reducer assembly structure mentioned in this step may refer to the overall structure and components of the electric drive system reducer designed by the designer according to the development requirements, and a three-dimensional model for simulation analysis is established based on the electric drive reducer assembly structure, i.e., a simulated electric drive reducer. In this embodiment, the test equipment can use particle method simulation software to perform splash lubrication simulation analysis and ventilation performance simulation analysis on the simulated electric drive reducer, so as to detect whether the current assembly structure meets the lubrication performance index and ventilation performance index under the setting of the initial refueling amount.

[0040] In some embodiments, the initial refueling amount mentioned in this step can be determined based on the historical refueling amount data of the same type of products as the simulated electric drive reducer. That is to say, when determining the initial refueling amount for the simulated electric drive reducer, the historical refueling amount data of the same type of products can be collected, and the designer can determine a reasonable and conservative value as the initial refueling amount based on the experience of assembly product development, or the test equipment can perform statistical analysis on it, calculate the average or median as a reference for the conservative initial value, and determine the safety margin based on the fluctuation range of the historical refueling amount data, the accuracy requirements of the simulation test and other factors, and then set the initial refueling amount based on the conservative initial value and the safety margin. In this way, the frequent changes in structural design caused by the unreasonable baseline refueling amount designed in the early stage of the test can be effectively reduced, thereby reducing labor costs and improving product development efficiency.

[0041] In some embodiments, the splash lubrication simulation analysis and ventilation performance simulation analysis of the simulated electric drive reducer based on the initial refueling amount mentioned in this step may include: setting splash lubrication simulation conditions based on the initial refueling amount and the splash lubrication simulation working conditions, and setting ventilation performance simulation conditions based on the initial refueling amount and the ventilation performance simulation working conditions; performing splash lubrication simulation analysis on the simulated electric drive reducer according to the splash lubrication simulation conditions, and performing ventilation performance simulation analysis on the simulated electric drive reducer according to the ventilation performance simulation conditions.

[0042] That is to say, when the test equipment performs splash lubrication simulation analysis on the simulation model of the reducer assembly, the splash lubrication simulation conditions can be set according to the initial refueling amount and the splash lubrication simulation conditions, so as to simulate and calculate the model and analyze the flow state and distribution of the lubricating oil in the reducer system. The splash lubrication simulation conditions here can be set according to the state that the vehicle may maintain for a long time, such as low-speed driving conditions, medium-speed driving conditions, and high-speed driving conditions in a horizontal posture; low-speed driving conditions and medium-speed driving conditions in an uphill posture; low-speed driving conditions, medium-speed driving conditions, and high-speed driving conditions in a downhill posture; and turning driving conditions, etc. Correspondingly, when the test equipment performs ventilation performance simulation analysis on the simulation model of the reducer assembly, the ventilation performance simulation conditions can be set according to the initial refueling amount and the ventilation performance simulation conditions, so as to simulate and calculate the model, analyze the parameters such as the movement state and pressure state of the oil, and the quantitative data such as the flow rate and pressure of the reducer breather plug, so as to evaluate the performance of the breather plug under different conditions. The ventilation performance simulation conditions here may include flat road uniform speed conditions, flat road acceleration conditions, flat road braking conditions, slope driving conditions, turning driving conditions, acceleration and turning conditions, turning braking conditions, and maximum speed driving conditions in which water accidentally enters the reducer assembly and the lubricating oil contains water, etc.

[0043] Furthermore, in some embodiments, the aforementioned splash lubrication simulation conditions may include the amount of oil added to the simulated electric drive reducer, and the corresponding assembly inclination angle and output speed under each splash lubrication simulation condition; correspondingly, the aforementioned ventilation performance simulation conditions may include the amount of oil added to the simulated electric drive reducer, and the corresponding assembly inclination angle and output speed under each ventilation performance simulation condition. In other words, for splash lubrication simulation conditions or ventilation performance simulation conditions, the test equipment can set different assembly inclination angles and output speeds according to different turning radii and driving speeds, and then combine the initial amount of oil added to form corresponding simulation conditions. In this way, the simulation boundary conditions that are the same as the test conditions can be set quickly and accurately, effectively shortening the test time.

[0044] Step 102: when the simulation result indicates that the simulated electric drive reducer satisfies both the lubrication performance index and the ventilation performance index, iteratively executing the steps of reducing the oiling amount and performing splash lubrication simulation analysis on the simulated electric drive reducer until the simulated electric drive reducer fails to meet the lubrication performance index under the setting of the adjusted oiling amount;

[0045] This step means: presetting the lubrication performance index and the ventilation performance index, where the lubrication performance index can be a standard for measuring the lubrication performance in the reducer, and correspondingly, the ventilation performance index can be a standard for measuring the ventilation performance in the reducer. When the simulation results show that the lubrication performance index and the ventilation performance index are achieved at the same time, it indicates that the current reducer assembly structure has reached the preset key performance index requirements. Therefore, the test equipment reduces the refueling amount on the basis of the initial refueling amount and continues to perform splash lubrication simulation analysis, and the cycle is repeated until a certain refueling amount does not meet the lubrication performance index, thereby determining the minimum refueling amount that meets both the lubrication performance index and the ventilation performance index in the reducer through this iterative optimization process, that is, the optimal refueling amount.

[0046] In some embodiments, the lubrication performance index mentioned in this step may include: in a stable state, sufficient oil reaches each lubricated position in the reducer; the ventilation performance index may include: no lubricating oil in a droplet state leaks from the vent plug position during the test time. That is to say, during the system splash lubrication simulation analysis process, if in a stable state, sufficient oil reaches each lubricated position in the reducer, such as the meshing tooth surface, bearing, oil seal, etc., then it is determined that the simulated electric drive reducer meets the lubrication performance index; during the system ventilation performance simulation analysis process, if no lubricating oil in a droplet state leaks from the vent plug position during the test time, then it is determined that the simulated electric drive reducer meets the ventilation performance index. Among them, whether there is sufficient oil at the position to be lubricated can be determined based on the amount of oil at the corresponding position and the preset oil amount threshold. The preset oil amount thresholds corresponding to different positions to be lubricated may be different. For example, when the amount of lubricating oil reaching the meshing tooth surface of the reducer assembly exceeds the first oil amount threshold, it is determined that there is sufficient oil at the meshing tooth surface of the reducer assembly. When the amount of lubricating oil reaching the bearing of the reducer assembly exceeds the second oil amount threshold, it is determined that there is sufficient oil at the bearing of the reducer assembly. Of course, in other embodiments, these two performance indicators can also be set differently according to the needs of the specific scenario, and this application does not limit this.

[0047] Furthermore, in some embodiments, when the simulation results indicate that the simulated electric drive reducer does not meet the lubrication performance index and / or ventilation performance index, a prompt message can be output to allow the user to modify the electric drive reducer assembly structure according to the prompt message. That is to say, under the simulation condition based on the initial refueling amount, if the simulation results show that the current assembly structure cannot meet the lubrication performance index and the ventilation performance index at the same time, the test equipment outputs a prompt message, and the prompt message can include the simulation results. In this way, the designer can modify the assembly structure according to the prompt message, and the test equipment re-performs the splash lubrication simulation analysis and the ventilation performance simulation analysis according to the modified assembly structure. In this way, the development efficiency of the electric drive reducer is improved.

[0048] In some embodiments, the step of iteratively executing the step of reducing the refueling amount and performing splash lubrication simulation analysis on the simulated electric drive reducer mentioned in this step until the simulated electric drive reducer does not meet the lubrication performance index under the setting of the adjusted refueling amount may include: iteratively executing the following steps until the iteration end condition is met: adjusting the current refueling amount according to the target oil amount gradient so that the adjusted refueling amount is less than the current refueling amount; performing splash lubrication simulation analysis on the simulated electric drive reducer based on the adjusted refueling amount, and detecting whether the simulated electric drive reducer meets the lubrication performance index under the setting of the adjusted refueling amount; the iteration end condition includes the check result being no. That is to say, after the simulation results show that the lubrication performance index and the ventilation performance index are achieved at the same time, the test equipment can reduce the refueling amount according to a certain oil amount gradient, and then perform splash lubrication simulation analysis on the simulated electric drive reducer, and detect whether the simulated electric drive reducer meets the lubrication performance index under the current refueling amount, if yes, perform the next iteration, otherwise end the iteration. In this way, the optimal refueling amount of the electric drive reducer is determined by simulation iteration, and there is no need to repeatedly design different oil amounts for multiple working conditions, thereby effectively improving the development efficiency of the electric drive reducer.

[0049] The target fuel gradient mentioned above is a proportional value. Taking the target fuel gradient of 1% as an example, in the first iteration, the current fueling amount is the initial fueling amount. Assuming that the initial fueling amount is 2L, the fueling amount after this adjustment is 99% of 2L, that is, 1.98L. In some embodiments, the target fuel gradient can be determined based on the size of the initial fueling amount. In other words, the target fuel gradient used in each iteration can be a fixed value, which is selected based on the size of the initial fueling amount. For example, when the initial fueling amount is in the first fuel interval, the target fuel gradient is the first proportional value, and when the initial fueling amount is in the second fuel interval, the target fuel gradient is the second proportional value.

[0050] In some other embodiments, the target oil gradient can be determined based on the simulation results of the previous iteration. That is to say, the target oil gradient used in each iteration can be dynamically changed, and it can be flexibly selected in combination with the simulation results of the previous iteration. For example, when the simulation results of the previous iteration show that the oil volume change of each position to be lubricated in the reducer is large, the current target oil gradient is increased to obtain a new target oil gradient for this iteration; conversely, when the simulation results of the previous iteration show that the oil volume change of each position to be lubricated in the reducer is small, the current target oil gradient is reduced to obtain a new target oil gradient for this iteration. In this way, while improving the computational efficiency of iterative optimization, sufficient lubrication safety margin is left for the reducer.

[0051] In implementation, the above two setting methods of the target oil gradient can be combined, that is, the target oil gradient used in the first iteration can be set based on the size of the initial oil filling amount, and starting from the second iteration, the target oil gradient is readjusted according to the degree of lubrication performance compliance in the previous iteration. Of course, in other methods, the target oil gradient can also be set differently according to the needs of specific scenarios.

[0052] Step 103: At the end of the iteration, the refueling amount adjusted in the previous iteration is determined as the optimal refueling amount.

[0053] This step means that at the end of the iterative optimization process, the refueling amount at the end of the iteration is increased by 1 oil gradient, that is, the refueling amount adjusted in the previous iteration is the optimal refueling amount. For example, if the iterative optimization process ends when the 4th iteration is completed, the refueling amount adjusted in the 3rd iteration is used as the optimal refueling amount. This optimal refueling amount simultaneously meets the lubrication performance index and ventilation performance index of the electric drive reducer, and is also the minimum refueling amount iterated by the optimization process. In this way, while meeting the reliability and efficiency of the electric drive reducer, it effectively shortens the product development cycle and improves the competitiveness of the product. In addition, if the iterative optimization process ends when the 1st iteration is completed, the initial refueling amount is determined as the optimal refueling amount.

[0054] In the embodiment of the present application, splash lubrication simulation analysis and ventilation performance simulation analysis are performed on the simulated electric drive reducer based on the initial refueling amount to obtain a simulation result. When the simulation result indicates that the simulated electric drive reducer satisfies both the lubrication performance index and the ventilation performance index, the refueling amount is reduced, and the splash lubrication simulation analysis is continued until the simulated electric drive reducer does not meet the lubrication performance index under the adjusted refueling amount setting. Through this iterative optimization process, the optimal refueling amount is determined. In this way, the optimal refueling amount of the electric drive reducer is determined by using simulation iteration, and there is no need to repeatedly design different oil amounts for multiple working condition tests, which effectively reduces labor costs and shortens the product development cycle. The determined optimal refueling amount can meet the high reliability, high efficiency and low cost requirements for the development of electric drive reducers, thereby improving the competitiveness of the product.

[0055] In order to explain the solution of this application in more detail, a specific embodiment is introduced below:

[0056] This embodiment provides a solution for determining and optimizing the amount of oil to be added to an electric drive reducer. The solution is applied to the development stage of the electric drive reducer product, and its workflow is as follows: Figure 2 As shown, including:

[0057] S201, determine the initial refueling volume of the product based on the assembly 3D model;

[0058] Specifically, during implementation, a reasonable and conservative value is determined as the initial refueling volume based on the experience of assembly product development and the refueling volume of similar products;

[0059] S202, using particle method simulation software, taking the initial oil filling amount as a simulation condition, and setting the same simulation boundary conditions as the test conditions, to perform splash lubrication simulation analysis and ventilation performance simulation analysis;

[0060] Specifically, the test conditions in the splash lubrication simulation analysis are splash lubrication simulation conditions, which are derived from the boundary conditions defined by the vehicle, such as the assembly layout angle, the wheel end speed converted to the reducer output speed, etc.; the splash lubrication simulation conditions are set according to the state that the vehicle may maintain for a long time, such as low-speed driving conditions, medium-speed driving conditions, and high-speed driving conditions in a horizontal posture; low-speed driving conditions and medium-speed driving conditions in an uphill posture; low-speed driving conditions, medium-speed driving conditions, and high-speed driving conditions in a downhill posture; and turning driving conditions, etc. The above conditions are randomly combined for simulation to try to cover all stable states encountered by the vehicle;

[0061] The test conditions in the ventilation performance simulation analysis are ventilation performance simulation conditions. In addition to considering the state that the vehicle may maintain for a long time, it is also necessary to consider certain short-term vehicle states. Therefore, the ventilation performance simulation conditions include flat road uniform speed conditions, flat road acceleration conditions, flat road braking conditions, slope driving conditions, turning driving conditions, acceleration and turning conditions, turning braking conditions, and the highest speed driving conditions with water accidentally entering the reducer assembly and water in the lubricating oil. The above conditions are randomly combined to try to cover all conditions encountered by the vehicle;

[0062] S203, judging whether the current assembly structure satisfies both the lubrication performance index and the ventilation performance index according to the simulation result, if yes, executing S205, otherwise executing S204;

[0063] Specifically, the lubrication performance indicators include: in a stable state, sufficient oil reaches the meshing tooth surface of the reducer assembly, bearings, oil seals and other locations that need lubrication; the ventilation performance indicators include: all working conditions are randomly combined in sequence, and no droplets of lubricating oil leak from the vent plug during the test time;

[0064] S204, outputting prompt information, waiting for the designer to modify the assembly structure, and then returning to S201;

[0065] Specifically, under the simulation condition based on the initial refueling amount, if the simulation results show that the current assembly structure cannot meet the lubrication performance index and the ventilation performance index at the same time, it indicates that there may be positions to be optimized in the current assembly structure. At this time, the designer needs to modify the assembly structure and then re-perform the splash lubrication simulation and ventilation performance simulation after the modification;

[0066] S205, reducing the current refueling amount according to the fuel amount gradient to obtain an adjusted refueling amount;

[0067] S206, continuing the splash lubrication simulation analysis based on the adjusted refueling amount;

[0068] S207, judging whether the assembly structure meets the lubrication performance index under the setting of the adjusted refueling amount according to the simulation result, if yes, executing S208, otherwise executing S209;

[0069] S208, resetting the oil gradient according to the simulation result of the last iteration, and then returning to S205; specifically, the setting of the oil gradient will affect the iterative result. The smaller the oil gradient, the more accurate the iterative result, the higher the reducer efficiency, and the lower the cost, but the process calculation time will be extended accordingly, and the oil value setting is too aggressive, without leaving enough safety margin; on the contrary, the larger the oil gradient, the greater the gap between the iterative result and the theoretical optimal result, the reducer efficiency is not high enough, and the cost reduction is not obvious, but it will shorten the calculation time of the entire process, the process will be completed faster, and at the same time, more safety margin will be left;

[0070] Based on this, the present embodiment can set the initial oil gradient based on the size of the initial oil filling amount. Starting from the second iteration, the oil gradient is flexibly selected in combination with the simulation results of the previous iteration, and the oil gradient is reset according to the degree of compliance with the lubrication performance standard. If reducing the oil volume has a great impact on the lubrication performance index of the reducer, the oil gradient value of the next iteration is reduced; if reducing the oil volume has a small impact on the lubrication performance index of the reducer, the oil gradient value of the next iteration is increased. In this way, the calculation efficiency of the process is met, and sufficient lubrication safety margin is left for the reducer;

[0071] S209: Determine the last adjusted refueling amount as the optimal refueling amount.

[0072] Specifically, at the end of the iterative optimization process, the adjusted refueling amount is increased by 1 oil gradient to obtain the optimal refueling amount. This optimal refueling amount simultaneously meets the lubrication performance indicators and ventilation performance indicators of the electric drive reducer, and is also the minimum refueling amount iterated by the optimization process, which effectively reduces the power loss caused by gear oil stirring. While meeting the reliability of the assembly, it also improves efficiency and reduces costs as much as possible.

[0073] The present embodiment scheme utilizes particle method splash lubrication simulation calculation to determine the optimal oil filling amount in the reducer that satisfies both the lubrication performance index and the ventilation performance index. This optimal oil filling amount not only satisfies the reliability of the electric drive reducer, ensures that each moving part is fully lubricated and has good ventilation performance, but also satisfies the electric drive reducer with the highest possible efficiency and the lowest possible cost. Moreover, the present embodiment scheme utilizes simulation means to effectively shorten the product development cycle of the electric drive reducer. Instead of repeatedly designing different oil amounts for multiple working condition tests, simulation iteration is used to obtain the optimal oil filling amount for the electric drive reducer, thereby effectively improving development efficiency.

[0074] Corresponding to the embodiments of the aforementioned method, the present application also provides embodiments of a device for determining the amount of fuel to be refueled for an electric drive reducer and a terminal for use thereof:

[0075] like Figure 3 As shown, Figure 3 : is a block diagram of a device for determining the amount of fuel for an electric drive reducer provided in an embodiment of the present application, the device comprising:

[0076] The simulation module 31 is used to perform splash lubrication simulation analysis and ventilation performance simulation analysis on the simulated electric drive reducer based on the initial refueling amount to obtain a simulation result; the simulated electric drive reducer is a simulation model of the electric drive reducer assembly structure;

[0077] an iterative module 32, configured to iteratively execute the steps of reducing the oiling amount and performing splash lubrication simulation analysis on the simulated electric drive reducer when the simulation result indicates that the simulated electric drive reducer satisfies both the lubrication performance index and the ventilation performance index, until the simulated electric drive reducer fails to meet the lubrication performance index under the setting of the adjusted oiling amount;

[0078] The determination module 33 is used to determine the refueling amount adjusted in the previous iteration as the optimal refueling amount at the end of the iteration.

[0079] The implementation process of the functions and effects of each module in the above-mentioned device is specifically described in the implementation process of the corresponding steps in the above-mentioned method, which will not be repeated here.

[0080] This application also provides an electronic device, see Figure 4 , Figure 4 A block diagram of an electronic device provided in an embodiment of the present application. The electronic device may include a processor 410, a communication interface 420, a memory 430, and at least one communication bus 440. The communication bus 440 is used to realize direct connection and communication between these components. The communication interface 420 of the electronic device in the embodiment of the present application is used to communicate signaling or data with other node devices. The processor 410 may be an integrated circuit chip with signal processing capabilities.

[0081] The processor 410 mentioned above can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor can be a microprocessor or the processor 410 can also be any conventional processor, etc.

[0082] The memory 430 may be, but is not limited to, a random access memory (RAM), a read only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electric erasable programmable read-only memory (EEPROM), etc. The memory 430 stores computer-readable instructions. When the computer-readable instructions are executed by the processor 410, the electronic device can execute the above-mentioned Figure 1 The method embodiment involves various steps.

[0083] Optionally, the electronic device may further include a storage controller and an input / output unit.

[0084] The memory 430, storage controller, processor 410, peripheral interface, input and output unit components are directly or indirectly electrically connected to each other to achieve data transmission or interaction. For example, these components can be electrically connected to each other via one or more communication buses 440. The processor 410 is used to execute executable modules stored in the memory 430, such as software function modules or computer programs included in the electronic device.

[0085] The input and output unit is used to provide users with the task creation and to create a start optional time period or preset execution time for the task to realize the interaction between the user and the server. The input and output unit can be, but is not limited to, a mouse and a keyboard.

[0086] Understandably, Figure 4 The structure shown is for illustration only, and the electronic device may also include Figure 4 More or fewer components as shown, or with Figure 4 Different configurations shown. Figure 4 Each component shown in the figure can be implemented by hardware, software or a combination thereof.

[0087] An embodiment of the present application further provides a storage medium having instructions stored thereon. When the instructions are run on a computer, the computer program is executed by a processor to implement the method described in the method embodiment. To avoid repetition, the method will not be described here.

[0088] The present application also provides a computer program product, which, when executed on a computer, enables the computer to execute the method described in the method embodiment.

[0089] 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.

[0090] 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.

[0091] 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.

[0092] 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.

[0093] 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.

[0094] 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 determining the amount of oil to be added to an electric drive reducer, characterized in that: include: Based on the initial refueling amount, the simulation results are obtained by performing splash lubrication simulation analysis and ventilation performance simulation analysis on the simulated electric drive reducer; The simulated electric drive reducer is a simulation model of the electric drive reducer assembly structure; When the simulation result indicates that the simulated electric drive reducer satisfies both the lubrication performance index and the ventilation performance index, iteratively executing the steps of reducing the oiling amount and performing splash lubrication simulation analysis on the simulated electric drive reducer until the simulated electric drive reducer fails to meet the lubrication performance index under the setting of the adjusted oiling amount; At the end of the iteration, the refueling amount adjusted in the previous iteration is determined as the optimal refueling amount.

2. The method according to claim 1, characterized in that The initial refueling amount is determined based on the historical refueling amount data of the same type of products of the simulated electric drive reducer.

3. The method according to claim 1, characterized in that The splash lubrication simulation analysis and ventilation performance simulation analysis of the simulated electric drive reducer based on the initial refueling amount include: Setting splash lubrication simulation conditions based on the initial refueling amount and the splash lubrication simulation working condition, and setting ventilation performance simulation conditions based on the initial refueling amount and the ventilation performance simulation working condition; A splash lubrication simulation analysis is performed on the simulated electric drive reducer according to the splash lubrication simulation conditions, and a ventilation performance simulation analysis is performed on the simulated electric drive reducer according to the ventilation performance simulation conditions.

4. The method according to claim 3, characterized in that The splash lubrication simulation conditions include the oil filling amount of the simulated electric drive reducer, and the corresponding assembly inclination angle and output speed under each splash lubrication simulation working condition; The ventilation performance simulation conditions include the fuel filling amount of the simulated electric drive reducer, and the corresponding assembly inclination angle and output speed under each ventilation performance simulation working condition.

5. The method according to claim 1, characterized in that The lubrication performance index includes: in a stable state, sufficient oil reaches each lubrication position in the reducer; The ventilation performance index includes: no lubricating oil in a droplet state leaking from the ventilation plug position within the test time.

6. The method according to claim 5, characterized in that The method further comprises: When the simulation result indicates that the simulated electric drive reducer does not meet the lubrication performance index and / or ventilation performance index, a prompt message is output to enable the user to modify the electric drive reducer assembly structure according to the prompt message.

7. The method according to claim 1, characterized in that The iterative execution of the step of reducing the oiling amount and performing splash lubrication simulation analysis on the simulated electric drive reducer until the simulated electric drive reducer fails to meet the lubrication performance index under the setting of the adjusted oiling amount includes: Iterate the following steps until the iteration end condition is met: The current fueling amount is adjusted according to the target fuel amount gradient so that the adjusted fueling amount is less than the current fueling amount; Perform splash lubrication simulation analysis on the simulated electric drive reducer based on the adjusted oiling amount, and detect whether the simulated electric drive reducer meets the lubrication performance index under the setting of the adjusted oiling amount; The iteration end condition includes a check result being negative.

8. The method according to claim 7, characterized in that The target fuel amount gradient is determined based on the size of the initial fueling amount.

9. The method according to claim 7, characterized in that: The target oil gradient is determined based on the simulation result of the last iteration.

10. A device for determining the amount of oil to be added to an electric drive reducer, characterized in that: include: A simulation module is used to perform splash lubrication simulation analysis and ventilation performance simulation analysis on the simulated electric drive reducer based on the initial refueling amount to obtain simulation results; The simulated electric drive reducer is a simulation model of the electric drive reducer assembly structure; an iteration module, for iteratively executing the steps of reducing the oiling amount and performing splash lubrication simulation analysis on the simulated electric drive reducer when the simulation result indicates that the simulated electric drive reducer satisfies both the lubrication performance index and the ventilation performance index, until the simulated electric drive reducer fails to meet the lubrication performance index under the setting of the adjusted oiling amount; The determination module is used to determine the refueling amount adjusted in the previous iteration as the optimal refueling amount at the end of the iteration.

11. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, the method according to any one of claims 1 to 9 is implemented.

12. An electronic device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method according to any one of claims 1 to 9 is implemented.