Circulation control method for lubricating oil in speed reducer of new energy automobile

Abstract

The invention relates to the technical field of automobile control, and discloses a circulation control method for lubricating oil in a speed reducer of a new energy automobile, which comprises the following steps of: constructing a target multi-channel oil way structure comprising micro-channels and partitions according to an analysis result of flow parameters by simulating the flowing conditions of the lubricating oil in different oil way paths under different working conditions; on this basis, the lubricating oil demand of the speed reducer under the real-time working condition is output in combination with a lubricating oil demand model constructed through a machine learning algorithm to determine the optimal oil path and the flow adjustment strategy of the lubricating oil, and the dynamic adjustment range of the selectable oil path is widened on the premise that the lubricating effect is guaranteed; it is ensured that all parts in the speed reducer can be sufficiently and efficiently lubricated under different working conditions, the lubricating flow is adjusted in time along with changes of the different working conditions, and the loss of lubricating oil is reduced while the local temperature is prevented from being too high.

Description

Technical Field

[0001] The present invention relates to the field of automobile control technology, and in particular to a method for controlling the circulation of lubricating oil in a reducer of a new energy automobile. Background Art

[0002] The reducer of new energy vehicles is mainly responsible for converting the high-speed rotation output by the motor into low-speed, high-torque movement to drive the vehicle wheels. In order to ensure the long-term stable operation of the reducer, the performance of lubricating oil is utilized. Lubricating oil is used during the operation of the reducer to reduce wear, prevent rust and dissipate heat for the reducer.

[0003] In order to make the reducer lubricant oil fully exert its performance and obtain better lubrication effect, temperature control and fuel consumption control, the existing automobile system will control the circulation of lubricant oil. However, since new energy vehicles are driven by electric motors, the temperature and load characteristics during operation are quite different from those of traditional fuel vehicles. For example, the instantaneous power of the motor under different working conditions varies greatly, and the demand for lubricant oil is also more dynamic. Therefore, it is urgent to propose a method for controlling the circulation of lubricant oil in the reducer of new energy vehicles to effectively control the circulation of lubricant oil in the reducer of new energy vehicles. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide a method for controlling the circulation of lubricating oil in a new energy vehicle reducer, so as to solve the problem that the current traditional automobile reducer lubricating oil control method cannot adapt to the new energy vehicle reducer lubricating oil control requirements.

[0005] The present invention discloses a method for controlling the circulation of lubricating oil in a reducer of a new energy vehicle, the method comprising the following steps:

[0006] S1, constructing a target multi-channel oil circuit structure including microchannels and partition structures;

[0007] S2. Setting sensors to monitor the working parameters of the reducer; the working parameters include the temperature, pressure, speed, load of the reducer, and the temperature and flow rate of the lubricating oil;

[0008] S3, determining the optimal oil path and the lubricating oil flow adjustment strategy under the optimal oil path through a control algorithm according to the monitored working condition parameters of the reducer;

[0009] S4. Execute a lubricating oil circulation control operation based on the determined optimal oil path and the lubricating oil flow rate adjustment strategy under the optimal oil path.

[0010] Furthermore, the step S1 includes the following sub-steps:

[0011] S101, determining the operating temperature range and load range of the components to be lubricated, and determining the thermal management requirements, as well as the viscosity range and flow rate range of the lubricating oil;

[0012] S102, establishing a geometric model inside the reducer, simulating different flow paths of the lubricating oil under different working conditions, and analyzing the flow parameters of the lubricating oil under different working conditions and different flow paths; wherein the geometric model includes an initial microchannel and an initial partition;

[0013] S103, adjusting the width, depth, curvature and initial partition of the initial microchannel according to the analysis results of the flow parameters of the lubricating oil under different working conditions and different flow paths;

[0014] S104, constructing a target multi-channel oil circuit structure based on the adjusted micro-channels and partitions.

[0015] Further, the partition includes a high load area and a low load area; wherein the high load area includes a main oil circuit, and the low load area includes an auxiliary oil circuit.

[0016] Furthermore, the step S103 further includes setting a cooling channel in a high load area according to analysis results of flow parameters of the lubricating oil under different working conditions and different flow paths;

[0017] Based on the adjusted microchannel and partitioned multi-channel oil circuit structure, the different flow paths of the lubricating oil under different working conditions are simulated, the flow parameters of the lubricating oil under different working conditions and different flow paths are analyzed, and when the flow parameters are lower than the preset threshold, the oil return channel is set;

[0018] The S104 also includes constructing a target multi-channel oil circuit structure based on the adjusted micro-channels and partitions, and the set cooling channels and oil return channels.

[0019] Furthermore, the flow parameters of the lubricating oil include oil distribution, pressure change and flow velocity.

[0020] Further, the step S3 includes establishing a lubricating oil demand model;

[0021] The lubricating oil demand model is obtained by training based on the historical operating data of the reducer through a machine learning algorithm; wherein the historical operating data of the reducer includes the lubricating oil consumption, flow rate change and lubrication effect of the reducer under different operating parameters;

[0022] Input the real-time operating parameters of the reducer into the lubricating oil demand model, and output the lubricating oil demand through the lubricating oil demand model;

[0023] The optimal oil path and the lubricating oil flow regulation strategy under the optimal oil path are determined according to the lubricating oil demand and the target multi-channel oil path structure.

[0024] Furthermore, the process of training the lubricant demand model based on the historical operation data of the reducer through the machine learning algorithm includes:

[0025] According to the historical operation data of the reducer, the friction characteristics of each component of the reducer under different operating parameters, the changes in lubricating oil viscosity, the changes in lubricating oil heat dissipation demand, and the relationship between the friction characteristics of each component of the reducer, the changes in lubricating oil viscosity, the changes in lubricating oil heat dissipation demand and the lubrication demand are analyzed. Through machine learning algorithm, the lubricating oil demand model is constructed with the operating parameters of the reducer as input variables and the lubricating oil demand as output variable.

[0026] Furthermore, after determining the optimal oil path according to the path cost, the lubricating oil flow rate regulation strategy of the optimal oil path includes:

[0027] Determine the distribution of the main oil circuit and the auxiliary oil circuit in the optimal oil circuit path, and give priority to the lubrication operation of the main oil circuit;

[0028] Monitor load changes, and when the load change amplitude is less than a preset threshold, perform oil circuit switching operation;

[0029] Monitor the lubricating oil flow parameters of the oil circuit and the temperature changes of the reducer, and adjust the flow and temperature of the lubricating oil according to the lubricating oil flow parameters of the oil circuit and the temperature changes of the reducer.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] The present invention firstly simulates the flow of lubricating oil in different oil paths under different working conditions, constructs a target multi-channel oil path structure including microchannels and partitions according to the analysis results of the flow parameters, and on this basis combines the lubricating oil demand model constructed by the machine learning algorithm to output the lubricating oil demand under the real-time working conditions of the reducer to determine the optimal oil path and the flow adjustment strategy of the lubricating oil, thereby improving the dynamic adjustment range of the oil path that can be selected while ensuring the lubrication effect, ensuring that each component inside the reducer can obtain sufficient and efficient lubrication under different working conditions, and adjusting the lubrication flow in time with the changes in different working conditions, avoiding local excessive temperature while also reducing the loss of lubricating oil. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of the economic application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0033] Figure 1The present invention is a flow chart of a method for controlling the circulation of lubricating oil in a reducer of a new energy vehicle disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments.

[0035] Embodiment 1

[0036] The present invention discloses a method for controlling the circulation of lubricating oil in a reducer of a new energy vehicle. Figure 1 , Figure 1 The present invention is a schematic flow chart of a method for controlling the circulation of lubricating oil in a reducer of a new energy vehicle disclosed in an embodiment of the present invention. The method comprises the following steps:

[0037] S1, constructing a target multi-channel oil circuit structure including microchannels and partition structures;

[0038] S2. Setting sensors to monitor the operating parameters of the reducer; the operating parameters include but are not limited to the temperature, pressure, speed, load of the reducer, and the temperature and flow rate of the lubricating oil.

[0039] S3. Determine the optimal oil path and the lubricating oil flow adjustment strategy under the optimal oil path through a control algorithm according to the monitored operating parameters of the reducer.

[0040] S4. Execute a lubricating oil circulation control operation based on the determined optimal oil path and the lubricating oil flow rate adjustment strategy under the optimal oil path.

[0041] Furthermore, the step S1 includes the following sub-steps:

[0042] S101. Determine the operating temperature range and load range of the components that need lubrication, and determine the thermal management requirements, as well as the viscosity range and flow rate range of the lubricating oil.

[0043] It is understandable that the operating temperature range and load range of the components requiring lubrication, as well as the thermal management requirements, as well as the viscosity range and flow rate range of the lubricant are determined because these factors are usually not adjustable or are determined based on lubrication objectives and material properties, and the boundaries of the simulation are determined based on these factors.

[0044] Specifically, each mechanical component generates heat when working (through friction or other mechanical stress), so it is necessary to clarify the operating temperature range of each component of the reducer. This range determines the demand for lubricating oil under different temperature conditions, because temperature directly affects the performance of lubricating oil (such as viscosity, etc.). The load range refers to the mechanical force that each component is subjected to. The greater the load, the higher the friction and heat, and the greater the demand for lubrication. These two factors are usually determined by the internal structure of the reducer.

[0045] Lubricants not only need to reduce friction, but also dissipate heat. Thermal management requirements refer to the amount of heat that the lubricant needs to remove to prevent components from overheating or performance degradation. This factor is usually determined by the lubrication target or lubrication requirements.

[0046] In addition, viscosity represents the fluidity of lubricating oil at different temperatures, which determines the effectiveness of lubricating oil in high or low temperature environments, and flow rate represents the speed at which lubricating oil passes through the oil circuit, which is used to ensure that lubricating oil can reach the parts that need lubrication and cooling in time. The higher the viscosity, the lower the upper limit of flow rate will be. This factor is mainly determined by the material properties of the lubricating oil.

[0047] S102, establishing a geometric model inside the reducer, simulating different flow paths of the lubricating oil under different working conditions, and analyzing the flow parameters of the lubricating oil under different working conditions and different flow paths. The geometric model includes an initial microchannel and an initial partition.

[0048] Specifically, the flow parameters of lubricating oil include but are not limited to oil distribution, pressure change and flow velocity. Among them, oil distribution refers to the spatial distribution of lubricating oil in the entire lubrication system, that is, the coverage of the surface of mechanical parts that need lubrication and cooling by oil. Ideally, the lubricating oil should be evenly distributed among the friction parts and effectively cover the entire surface of the friction area.

[0049] Pressure change refers to the pressure change of lubricating oil in the oil circuit due to flow resistance, friction and oil pump. In the oil circuit, the oil will produce pressure difference at different positions due to flow resistance. The pressure gradient reflects the flow efficiency of lubricating oil between various components. If the resistance of the oil in the oil circuit is large, it will experience a large pressure loss, affecting the flow rate and flow of the lubricating oil. It is necessary to reduce the loss by optimizing the oil circuit structure and reducing bends and narrow places. That is, the change of pressure directly affects the flow rate and flow of the lubricating oil. Too high pressure loss will lead to insufficient lubrication, and too low pressure may make the oil unable to be effectively transported to the high load area.

[0050] Flow rate refers to the flow rate of lubricating oil in the oil circuit, reflecting the flow efficiency and delivery capacity of the oil. The flow rate of lubricating oil determines how much lubricating oil can be delivered to the parts that need lubrication per unit time. When running at high speed, a higher flow rate is set to ensure lubrication and heat dissipation, while the flow rate can be reduced under low load conditions to save energy.

[0051] It can be understood that the flow parameters of the lubricating oil in the embodiment of the present invention can comprehensively reflect the lubricating effect of the lubricating oil.

[0052] In the embodiment of the present invention, the geometric model is a three-dimensional model including all key components that need lubrication (such as gears, bearings, etc.) and the flow path of the lubricating oil, and the three-dimensional model is adjusted accordingly with the optimization. The simulation process mainly simulates the flow behavior of the lubricating oil under different working conditions such as temperature, load, and speed through fluid dynamics, in order to understand how the oil flows through each component and whether there is enough lubricating oil to cover the friction components under high load and high temperature conditions.

[0053] S103, adjusting the width, depth, curvature and initial partition of the initial microchannel according to the analysis results of the flow parameters of the lubricating oil under different working conditions and different flow paths.

[0054] Specifically, in the embodiment of the present invention, the microchannel is a precise path for the flow of oil, and the adjustment of width, depth and curvature can optimize the flow of oil. Among them, the width determines the flow rate of the oil, the depth affects the flow rate of the oil, and the curvature affects the resistance in the flow. By optimizing these geometric parameters, the energy loss of the oil in the oil circuit can be reduced, ensuring that it can flow with minimal resistance.

[0055] The zones are the oil circuit areas divided according to the component load and lubrication requirements. The main oil circuit is used in the high-load area, and the auxiliary oil circuit is used in the low-load area. By optimizing the zones, the oil distribution can be adjusted according to the actual needs of each component to ensure efficient lubrication and energy saving.

[0056] S104, constructing a target multi-channel oil circuit structure based on the adjusted micro-channels and partitions.

[0057] After the optimization and adjustment of microchannels and partitions, the final oil circuit structure is constructed. The multi-channel oil circuit structure means that the oil can reach the target component through multiple parallel paths. The design of each channel is based on the results of simulation and optimization to ensure that the oil flow and path selection can be dynamically adjusted according to different working conditions.

[0058] Furthermore, the step S103 also includes setting a cooling channel in the high load area according to the analysis results of the flow parameters of the lubricating oil under different working conditions and different flow paths.

[0059] Based on the adjusted microchannel and partitioned multi-channel oil circuit structure, the different flow paths of the lubricating oil under different working conditions are simulated, the flow parameters of the lubricating oil under different working conditions and different flow paths are analyzed, and the return oil channel is set when the flow parameters are lower than the preset threshold.

[0060] In the embodiment of the present invention, the cooling channel is a portion of the oil circuit specifically used to remove excess heat generated in the high-load area. In the high-load area, the friction is large and the heat generated is large. The lubricating oil must not only reduce friction but also dissipate heat. The main purpose of the design of the cooling channel is to optimize the heat dissipation effect and ensure that the lubricating oil can quickly remove the heat after absorbing it to prevent overheating of the components.

[0061] The oil return channel is used to guide the used lubricating oil from the lubrication area back to the oil tank or circulation system for reuse after cooling or filtering. The purpose of the oil return channel is to ensure smooth oil circulation and avoid excessive oil accumulation in the oil circuit, which will affect the lubrication effect or cause energy loss.

[0062] The S104 also includes constructing a target multi-channel oil circuit structure based on the adjusted micro-channels and partitions, and the set cooling channels and oil return channels.

[0063] In an embodiment of the present invention, a target multi-channel oil circuit structure is constructed by simulating the lubrication effect of lubricating oil in different oil circuit paths under different working conditions, ensuring that there is at least one oil circuit path under any working condition so that the flow parameters of the lubricating oil meet the preset requirements, thereby improving the dynamic adjustment range of the selectable oil circuit paths while ensuring the lubrication effect, and further improving the lubrication effect.

[0064] Further, the step S3 includes establishing a lubricating oil demand model;

[0065] The lubricating oil demand model is obtained by training based on the historical operating data of the reducer through a machine learning algorithm; wherein the historical operating data of the reducer includes the lubricating oil consumption, flow rate change and lubrication effect of the reducer under different operating parameters;

[0066] Input the real-time operating parameters of the reducer into the lubricating oil demand model, and output the lubricating oil demand through the lubricating oil demand model;

[0067] The optimal oil path and the lubricating oil flow regulation strategy under the optimal oil path are determined according to the lubricating oil demand and the target multi-channel oil path structure.

[0068] Furthermore, the process of training the lubricant demand model based on the historical operation data of the reducer through the machine learning algorithm includes:

[0069] According to the historical operation data of the reducer, the friction characteristics of each component of the reducer under different operating parameters, the changes in lubricating oil viscosity, the changes in lubricating oil heat dissipation demand, and the relationship between the friction characteristics of each component of the reducer, the changes in lubricating oil viscosity, the changes in lubricating oil heat dissipation demand and the lubrication demand are analyzed. Through machine learning algorithm, the lubricating oil demand model is constructed with the operating parameters of the reducer as input variables and the lubricating oil demand as output variable.

[0070] Furthermore, the mathematical calculation of the lubricant demand model includes:

[0071] D lude =f(T gearbox ,T lube ,P,v,N)

[0072] Among them, D lude is the lubricating oil demand, T gearbox is the reducer temperature, T lube is the lubricating oil temperature, P is the oil pressure, v is the speed of the reducer, and N is the load;

[0073]

[0074] Among them, η(T lube ) is the lubricating oil temperature T lube The viscosity of the lubricating oil under the condition of η0 is the viscosity at the reference temperature, and α is the viscosity temperature coefficient, which indicates the relationship between viscosity and temperature.

[0075]

[0076] Among them, F 摩擦 is the friction force, μ is the friction coefficient;

[0077] Q cooling =m*c p (T in -T out )

[0078] Among them, Q cooling is the heat dissipation requirement, that is, the heat that the lubricating oil needs to take away, m * is the mass flow rate of lubricating oil, c p is the specific heat capacity of the lubricating oil, T in , T out Respectively represent the temperature of the lubricating oil entering and leaving the reducer.

[0079] Furthermore, the mathematical calculation of the optimal oil path includes:

[0080]

[0081] Among them, C pathis the path cost, R i is the resistance of the i-th oil circuit, n is the total number of oil circuit paths, P i is the pressure of the i-th oil path, Q cooling,j is the heat removed by the jth cooling channel, m i is the total number of cooling channels included in the i-th path.

[0082] In the embodiment of the present invention, the lubricating oil demand and the oil path work together to ensure that each component inside the reducer can be sufficiently and efficiently lubricated under different working conditions. Specifically, the lubricating oil demand determines the amount of oil that needs to be supplied to each component, and the oil path determines how to efficiently deliver the lubricating oil to these components.

[0083] The demand for lubricating oil is mainly determined by the operating parameters of the reducer. Under high load conditions, the demand for lubrication increases, and more oil is needed to reduce friction and lower temperature. At this time, the optimal oil path is used to ensure that more lubricating oil can be quickly delivered to key components to prevent wear.

[0084] It is understandable that the amount of lubricant required calculated by the lubricant demand model will affect the choice of oil circuit. For example, when a certain component requires a large amount of lubricant, the main oil circuit is selected to ensure that the oil reaches the component quickly; when the load is light, the auxiliary oil circuit may be selected to save oil, that is, the selection of the oil circuit path is dynamically adjusted based on the lubricant demand. The optimal oil circuit path is to ensure that the lubricant not only reaches the correct part, but also arrives at the appropriate speed and pressure. The appropriate path can reduce the flow resistance of the oil and ensure that the oil can smoothly cover the surface of the friction parts, thereby improving the lubrication effect and avoiding local excessive temperature. That is, under the premise of determining the lubricant demand, the selection of the optimal oil circuit path corresponds to the best lubricant flow parameter performance.

[0085] Furthermore, after determining the optimal oil path according to the path cost, the lubricating oil flow rate regulation strategy of the optimal oil path includes:

[0086] Determine the distribution of the main oil circuit and the auxiliary oil circuit in the optimal oil circuit path, and give priority to the lubrication operation of the main oil circuit;

[0087] Monitor load changes, and when the load change amplitude is less than a preset threshold, perform oil circuit switching operation;

[0088] Monitor the lubricating oil flow parameters of the oil circuit and the temperature changes of the reducer, and adjust the flow and temperature of the lubricating oil according to the lubricating oil flow parameters of the oil circuit and the temperature changes of the reducer.

[0089] Optionally, as a preferred embodiment, the lubricating oil flow rate regulation strategy may further include switching microchannels in the optimal oil path according to the lubricating oil flow parameters of the oil circuit and the temperature change of the reducer.

[0090] Specifically, in actual operation, the reason why lubricating oil is first delivered to the main oil circuit is that the main oil circuit provides core lubrication, which can ensure that high-load components can be effectively lubricated under high temperature and high friction conditions. The auxiliary oil circuit plays a supporting role, mainly used to handle low-priority lubrication tasks after the main oil circuit meets the demand.

[0091] In an embodiment of the present invention, when the change amplitude of the operating condition exceeds a preset threshold, an operation of re-determining the lubricating oil demand will be triggered. That is, when different operating conditions change frequently, the lubricating oil demand changes dynamically. Through real-time monitoring by sensors, the instantaneous lubrication demand is calculated, and the oil path is dynamically switched according to the demand. When the change amplitude of the operating condition parameter is less than the preset threshold, the lubricating oil flow rate will be controlled to make adjustments. Preferably, the switching operation of the main oil circuit and the auxiliary oil circuit is dynamically executed according to the real-time load or reducer temperature data.

[0092] Changes in lubricant demand not only affect path selection, but also further affect flow regulation. The shorter the path and the smaller the resistance, the faster the oil flows and the more evenly it is distributed. Therefore, the choice of oil path should be matched with lubricant demand to ensure that the oil can reach the target area quickly and efficiently under different working conditions.

[0093] By monitoring the flow of lubricating oil in real time, providing feedback on the lubrication effect, and adjusting the oil path and flow rate according to the lubricating oil demand, this dynamic feedback mechanism can prevent problems such as oil path blockage, over-oiling or insufficient lubrication.

[0094] Finally, it should be noted that the method for controlling the circulation of lubricating oil in a reducer of a new energy vehicle disclosed in an embodiment of the present invention discloses only a preferred embodiment of the present invention and is only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for controlling the circulation of lubricating oil in a reducer of a new energy vehicle, characterized in that: The method comprises the following steps: S1, constructing a target multi-channel oil circuit structure including microchannels and partition structures; S2. Setting sensors to monitor the working parameters of the reducer; the working parameters include the temperature, pressure, speed, load of the reducer, and the temperature and flow rate of the lubricating oil; S3, determining the optimal oil path and the lubricating oil flow adjustment strategy under the optimal oil path through a control algorithm according to the monitored working condition parameters of the reducer; S4. Execute a lubricating oil circulation control operation based on the determined optimal oil path and the lubricating oil flow rate adjustment strategy under the optimal oil path.

2. The method for controlling the circulation of lubricating oil in a reducer of a new energy vehicle according to claim 1, characterized in that: The step S1 comprises the following sub-steps: S101. Determine the operating temperature range and load range of the components that need lubrication, and determine the thermal management requirements, as well as the viscosity range and flow rate range of the lubricating oil; S102, establishing a geometric model inside the reducer, simulating different flow paths of the lubricating oil under different working conditions, and analyzing the flow parameters of the lubricating oil under different working conditions and different flow paths; wherein the geometric model includes an initial microchannel and an initial partition; S103, adjusting the width, depth, curvature and initial partition of the initial microchannel according to the analysis results of the flow parameters of the lubricating oil under different working conditions and different flow paths; S104, constructing a target multi-channel oil circuit structure based on the adjusted micro-channels and partitions.

3. The method for controlling the circulation of lubricating oil in a reducer of a new energy vehicle according to claim 2, characterized in that: The partition includes a high load area and a low load area; wherein the high load area includes a main oil circuit, and the low load area includes an auxiliary oil circuit.

4. The method for controlling the circulation of lubricating oil in a reducer of a new energy vehicle according to claim 3, characterized in that: The step S103 also includes setting a cooling channel in the high load area according to the analysis results of the flow parameters of the lubricating oil under different working conditions and different flow paths; Based on the adjusted microchannel and partitioned multi-channel oil circuit structure, the different flow paths of the lubricating oil under different working conditions are simulated, the flow parameters of the lubricating oil under different working conditions and different flow paths are analyzed, and when the flow parameters are lower than the preset threshold, the oil return channel is set; The S104 also includes constructing a target multi-channel oil circuit structure based on the adjusted micro-channels and partitions, and the set cooling channels and oil return channels.

5. The method for controlling the circulation of lubricating oil in a reducer of a new energy vehicle according to claim 2, characterized in that: The flow parameters of the lubricating oil include oil distribution, pressure change and flow velocity.

6. The method for controlling the circulation of lubricating oil in a reducer of a new energy vehicle according to any one of claims 1 to 5, characterized in that: The step S3 includes establishing a lubricating oil demand model; The lubricating oil demand model is obtained by training based on the historical operating data of the reducer through a machine learning algorithm; wherein the historical operating data of the reducer includes the lubricating oil consumption, flow rate change and lubrication effect of the reducer under different operating parameters; Input the real-time operating parameters of the reducer into the lubricating oil demand model, and output the lubricating oil demand through the lubricating oil demand model; The optimal oil path and the lubricating oil flow regulation strategy under the optimal oil path are determined according to the lubricating oil demand and the target multi-channel oil path structure.

7. The method for controlling the circulation of lubricating oil in a reducer of a new energy vehicle according to claim 6, characterized in that: The process of training the lubricant demand model based on the historical operating data of the reducer through machine learning algorithms includes: According to the historical operation data of the reducer, the friction characteristics of each component of the reducer under different operating parameters, the changes in lubricating oil viscosity, the changes in lubricating oil heat dissipation demand, and the relationship between the friction characteristics of each component of the reducer, the changes in lubricating oil viscosity, the changes in lubricating oil heat dissipation demand and the lubrication demand are analyzed. Through machine learning algorithm, the lubricating oil demand model is constructed with the operating parameters of the reducer as input variables and the lubricating oil demand as output variable.

8. The method for controlling the circulation of lubricating oil in a reducer of a new energy vehicle according to claim 7, characterized in that: After determining the optimal oil path according to the path cost, the lubricating oil flow regulation strategy of the optimal oil path includes: Determine the distribution of the main oil circuit and the auxiliary oil circuit in the optimal oil circuit path, and give priority to the lubrication operation of the main oil circuit; Monitor load changes, and when the load change amplitude is less than a preset threshold, perform oil circuit switching operation; Monitor the lubricating oil flow parameters of the oil circuit and the temperature changes of the reducer, and adjust the flow and temperature of the lubricating oil according to the lubricating oil flow parameters of the oil circuit and the temperature changes of the reducer.

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