Self-learning method and system for main oil pressure of gearbox, medium and program product

Abstract

The invention relates to the field of vehicle intelligent control, in particular to a self-learning method for main oil pressure of a gearbox. The method comprises the steps that set main oil pressure values of a vehicle under various rotating speed and / or torque areas are obtained; monitoring a triggering condition for self-learning of the main oil pressure of the gearbox to determine whether the triggering condition is met or not; in response to the condition that the trigger condition is met, executing self-learning of the main oil pressure of the gearbox according to a mode corresponding to the trigger condition so as to obtain a self-learning main oil pressure value; and updating all the set main oil pressure values based on the obtained self-learned main oil pressure value.

Description

Technical Field

[0001] The present application relates to the field of vehicle intelligent control, and more particularly, to a self-learning method, system, computer-readable storage medium, and computer program product for the main oil pressure of a transmission. Background Art

[0002] In a vehicle transmission, the clutch, as a component for achieving power transmission, the accuracy of its control not only affects the comfort of power connection but also affects the overall service life. However, as the vehicle is used by different users under different working conditions, the condition of the clutch may change to varying degrees, resulting in a change in the slip of the transmission. In addition to the condition of the clutch, the main oil pressure of the transmission may also affect the slip of the transmission. Therefore, as the condition of the clutch changes over time, the main oil pressure control strategy of the transmission needs to be adjusted accordingly to ensure the performance and reliability of the transmission.

[0003] It should be noted that the information disclosed in the above background art section is only used to enhance the understanding of the background of the present application, and thus may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0004] To solve or at least alleviate one or more of the above problems, the following technical solutions are provided. The present application provides a self-learning method, system, medium, and computer program product for the main oil pressure of a transmission, which can perform self-learning of the main oil pressure of the transmission according to the corresponding mode based on the satisfied trigger conditions, and use the obtained self-learned main oil pressure value to update all the set main oil pressure values, so as to achieve global dynamic adjustment of the set main oil pressure value of the transmission in various speed / torque regions to ensure the performance and reliability of the transmission.

[0005] According to a first aspect of the present application, a self-learning method for the main oil pressure of a transmission is provided, the method including: obtaining the set main oil pressure value of the vehicle in various speed and / or torque regions; monitoring the trigger conditions for self-learning of the main oil pressure of the transmission to determine whether the trigger conditions are satisfied; in response to the trigger conditions being satisfied, performing self-learning of the main oil pressure of the transmission according to the mode corresponding to the trigger conditions to obtain a self-learned main oil pressure value; and updating all the set main oil pressure values based on the obtained self-learned main oil pressure value.

[0006] As an alternative or supplement to the above solution, in the method according to an embodiment of the present application, the triggering conditions include: the driving mileage of the vehicle reaches a threshold mileage and the slip of the transmission exceeds a threshold slip; and wherein, the mode corresponding to the driving mileage of the vehicle reaching the threshold mileage is the active mode, and the mode corresponding to the slip of the transmission exceeding the threshold slip is the passive mode.

[0007] As an alternative or supplement to the above solution, in the method according to an embodiment of the present application, performing self-learning of the main hydraulic pressure of the transmission according to the active mode includes: reducing the main hydraulic pressure of the transmission by one unit; determining whether the slip of the transmission exceeds the threshold slip; in response to determining that the slip of the transmission does not exceed the threshold slip, continuing to reduce the main hydraulic pressure of the transmission by one unit; in response to determining that the slip of the transmission exceeds the threshold slip, rapidly increasing the main hydraulic pressure of the transmission so that the slip of the transmission is less than the threshold slip; and recording the average value of the increased main hydraulic pressure and the main hydraulic pressure before the increase as the base value of the main hydraulic pressure in the current speed and / or torque region, and adding a compensation value to the base value to obtain the self-learned main hydraulic pressure value.

[0008] As an alternative or supplement to the above solution, in the method according to an embodiment of the present application, performing self-learning of the main hydraulic pressure of the transmission according to the passive mode includes: rapidly increasing the main hydraulic pressure of the transmission so that the slip of the transmission is less than the threshold slip; and using a preset value as the self-learned main hydraulic pressure value, where the preset value is associated with the current speed and / or torque region.

[0009] As an alternative or supplement to the above solution, in the method according to an embodiment of the present application, updating all the set main hydraulic pressure values based on the obtained self-learned main hydraulic pressure value includes: updating the set main hydraulic pressure value in the current speed and / or torque region to the self-learned main hydraulic pressure value; and updating the set main hydraulic pressure values in the remaining speed and / or torque regions to the weighted average value of the set main hydraulic pressure values in the remaining speed and / or torque regions and the self-learned main hydraulic pressure value according to the proximity of the remaining speed and / or torque regions to the current speed and / or torque region.

[0010] As an alternative or supplement to the above solution, in the method according to an embodiment of the present application, the driving mileage of the vehicle reaching the threshold mileage further includes: the driving mileage of the vehicle in the high-speed high-torque state reaches a first threshold, the driving mileage of the vehicle in the high-speed low-torque state reaches a second threshold, the driving mileage of the vehicle in the low-speed high-torque state reaches a third threshold, the driving mileage of the vehicle in the low-speed low-torque state reaches a fourth threshold or any combination thereof.

[0011] As an alternative or supplement to the above solution, in the method according to an embodiment of the present application, the triggering condition further includes: the oil temperature of the transmission exceeds a threshold temperature, the rotational speed of the vehicle exceeds a threshold rotational speed, the torque of the vehicle exceeds a threshold torque, or any combination thereof.

[0012] According to a second aspect of the present application, there is provided a self-learning system for the main oil pressure of a transmission, the system including: a processor; a memory; and a computer program, the computer program being stored on the memory and being executable on the processor, the execution of the computer program causing any one of the self-learning methods according to the first aspect of the present application to be executed.

[0013] According to a third aspect of the present application, there is provided a computer-readable storage medium, the computer-readable storage medium including instructions that, when running, execute any one of the self-learning methods according to the first aspect of the present application.

[0014] According to a fourth aspect of the present application, there is provided a computer program product, the computer program product including instructions that, when running, execute any one of the self-learning methods according to the first aspect of the present application.

[0015] During specific conditions in the process of vehicle driving, the self-learning method for the main oil pressure of the transmission according to one or more embodiments of the present application can perform the self-learning process of the main oil pressure of the transmission based on the satisfied triggering conditions and according to the corresponding mode, and apply the obtained self-learning value to all set main oil pressure values, thereby enabling global dynamic adjustment of the set main oil pressure value of the transmission main oil pressure. In addition, through the combination of the active mode and the passive mode, it can be ensured that the set main oil pressure value of the transmission is updated at an appropriate frequency to avoid damage caused by untimely update. Further, considering the characteristics of different mode executions, different calculation strategies are applied to the self-learned main oil pressure values, thereby minimizing errors as much as possible. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The above and / or other aspects and advantages of the present application will become clearer and easier to understand through the following description of various aspects in conjunction with the drawings, where the same or similar units are denoted by the same reference numerals. In the drawings:

[0017] Figure 1 is a flowchart of a self-learning method 10 for the main oil pressure of a transmission according to an embodiment of the present application;

[0018] Figure 2A is a process 21 of performing self-learning of the main oil pressure of the transmission according to the active mode according to an embodiment of the present application;

[0019] Figure 2Bis the process 22 of performing self - learning of the main oil pressure of the transmission in passive mode according to an embodiment of the present application;

[0020] Figure 3 is a schematic diagram of the set main oil pressure values in each rotational speed / torque region according to an embodiment of the present application; and

[0021] Figure 4 is a block diagram of a self - learning system 40 for the main oil pressure of a transmission according to an embodiment of the present application. Detailed implementation manners

[0022] The following description of the detailed implementation manners is essentially only exemplary and is not intended to limit the disclosed technology or the application and use of the disclosed technology. In addition, there is no intention to be bound by any theory, whether explicit or implicit, presented in the foregoing technical field, background art, or the following detailed implementation manners.

[0023] In the following detailed description of the embodiments, many specific details are set forth in order to provide a more thorough understanding of the disclosed technology. However, it will be apparent to those of ordinary skill in the art that the disclosed technology may be practiced without these specific details. In other instances, well - known features are not described in detail to avoid unnecessarily complicating the description.

[0024] Terms such as "comprising" and "including" indicate that in addition to the units (modules) and steps directly and explicitly recited in the specification and claims, the technical solutions of the present application do not exclude the case of having other units (modules) and steps not directly or explicitly recited. Terms such as "first" and "second" do not indicate the order of the units in terms of time, space, size, etc., but are only used to distinguish the units. And, the steps herein are not limited to being implemented in the written order, but the steps written later can also be implemented simultaneously with the steps written earlier, or implemented prior to the steps written earlier.

[0025] Various embodiments in the present application will be described in more detail hereinafter with reference to the drawings.

[0026] Refer to Figure 1 , Figure 1 is a flowchart of a self - learning method 10 for the main oil pressure of a transmission according to an embodiment of the present application. In step S102, each time the vehicle is started, the set main oil pressure values of the vehicle in various rotational speed and / or torque regions are obtained. The set main oil pressure values of the vehicle in various rotational speed and / or torque regions may be in the form of a look - up table and can be stored in the non - volatile storage device of the vehicle.

[0027] Then, in step S104, during vehicle driving, monitor the trigger conditions for the self-learning of the main transmission oil pressure to determine whether the trigger conditions are met. The process of self-learning the main transmission oil pressure can be triggered when various different trigger conditions are met, and different trigger conditions correspond to different self-learning modes. In some embodiments, the trigger conditions include: the driving mileage of the vehicle reaches a threshold mileage and the slip of the transmission exceeds a threshold slip; in addition, the mode corresponding to the driving mileage of the vehicle reaching the threshold mileage is the active mode, while the mode corresponding to the slip of the transmission exceeding the threshold slip is the passive mode. The process of performing self-learning according to these modes will be further described below with respect to Figure 2A and Figure 2B In addition, in some embodiments, the trigger conditions further include: the oil temperature of the transmission exceeds a threshold temperature, the rotational speed of the vehicle exceeds a threshold rotational speed, the torque of the vehicle exceeds a threshold torque, or any combination thereof. These trigger conditions can indicate that the vehicle has entered a certain state (e.g., normal driving state). These trigger conditions can be used in combination with the trigger conditions corresponding to the active mode and / or passive mode to trigger the self-learning process of the main transmission oil pressure. Further, the driving mileage of the vehicle reaching the threshold mileage also includes: the driving mileage of the vehicle in a high rotational speed and high torque state reaches a first threshold, the driving mileage of the vehicle in a high rotational speed and low torque state reaches a second threshold, the driving mileage of the vehicle in a low rotational speed and high torque state reaches a third threshold, the driving mileage of the vehicle in a low rotational speed and low torque state reaches a fourth threshold, or any combination thereof. This can make the trigger conditions correspond to more specific working conditions by classifying the mileage traveled by the vehicle.

[0028] Next, in step S106, in response to the trigger conditions being met, perform the self-learning of the main transmission oil pressure according to the mode corresponding to the trigger conditions to obtain the self-learned main oil pressure value; otherwise, continue to monitor the trigger conditions. For example, if during a certain driving process, the cumulative driving mileage of the vehicle reaches the threshold mileage (e.g., 5000 km), the controller can perform the self-learning of the main transmission oil pressure according to the active mode; or if during driving, the slip of the transmission exceeds the threshold slip, the controller can perform the self-learning of the main transmission oil pressure according to the passive mode.

[0029] Finally, in step S108, based on the obtained self - learned main oil pressure value, all the set main oil pressure values are updated. In some embodiments, updating all the set main oil pressure values may include: updating the set main oil pressure value in the current speed and / or torque region to the self - learned main oil pressure value; and updating the set main oil pressure value in the remaining speed and / or torque regions to the weighted average of the set main oil pressure value and the self - learned main oil pressure value according to the proximity of the remaining speed and / or torque regions to the current speed and / or torque region. Specifically, the self - learned main oil pressure value obtained in step S106 is the self - learned main oil pressure value of the vehicle in the current speed and / or torque region, and in step S108, the controller can update the set main oil pressure values in each speed and / or torque region based on the self - learned main oil pressure value in the current speed and / or torque region. Now refer to Figure 3 , Figure 3 is a schematic diagram of the set main oil pressure values in each speed / torque region according to an embodiment of the present application. In Figure 3 , according to the torque (unit: Nm) on the horizontal axis and the speed (unit: rpm) on the vertical axis, the operating range of the vehicle is divided into 42 speed / torque regions, and each speed / torque region has a set main oil pressure value (defined as Idx00 - Idx65). In some embodiments, if the self - learned main oil pressure value obtained in step S106 is Idx33', then in step S108, the stored Idx33 is first updated to Idx33'; then, according to the distance between each region and the region corresponding to Idx33, the value of each region is updated to the weighted average of the original value of the region and Idx33', so that Figure 3 the darker the color in the region, the greater the influence of the obtained Idx33'. For example, the regions where Idx32, Idx34, Idx23, and Idx43 are located are closest to the region where Idx33' is located. Therefore, when updating these four values, the weights of the original Idx32, Idx34, Idx23, and Idx43 are lower (e.g., 0.1), and the weight of Idx33' is higher (e.g., 0.9); on the contrary, the regions where Idx00 and Idx60 are located are farthest from the region where Idx33' is located. Therefore, when updating these two values, the weights of the original Idx00 and Idx60 are higher (e.g., 0.95), and the weight of Idx33' is lower (e.g., 0.05). In this way, even if only the self - learned main oil pressure value in one speed / torque region is obtained each time, it can affect the set main oil pressure values of all regions, thereby minimizing the uneven update of the entire list due to the randomness of the speed / torque region where the trigger condition is met.

[0030] Next, refer to Figure 2A and Figure 2BThe process of performing the self - learning of the main oil pressure of the transmission according to different modes is further described. Figure 2A This is the process 21 of performing the self - learning of the main oil pressure of the transmission according to the active mode in an embodiment of the present application. When the trigger condition corresponding to the active mode is satisfied, the controller starts to perform the self - learning process 21 of the main oil pressure of the transmission according to the active mode. In the process 21, first, in step S212, the controller reduces the main oil pressure of the transmission by one unit. Then, in step S214, the controller determines whether the slip of the transmission exceeds the threshold slip. If the slip of the transmission exceeds the threshold slip at this time, step S216 is executed; otherwise, return to step S212 to continue reducing the main oil pressure of the transmission by one unit. In step S216, the main oil pressure of the transmission is rapidly increased so that the slip of the transmission is less than the threshold slip, thereby avoiding damage to the transmission. Finally, in step S218, the average value of the increased main oil pressure and the main oil pressure before the increase is recorded as the base value of the main oil pressure value in the current speed and / or torque region, and the base value is added with a compensation value to obtain the self - learned main oil pressure value. Specifically, since the reduction of the main oil pressure is carried out in a certain step (for example, one unit), and the increase of the main oil pressure is rapid, the critical main oil pressure that causes the slip of the transmission to exceed the threshold slip may exactly be between the main oil pressure before the increase / reduction and the main oil pressure after the increase / reduction. Specifically, compared with the critical main oil pressure, the main oil pressure after the increase may be higher, and the main oil pressure before the increase may be lower. Therefore, by obtaining the average value of the main oil pressure before and after the increase and adding a certain compensation value on this basis, the obtained self - learned main oil pressure value can be closer to the value of the critical main oil pressure. Further, the compensation value can be adjusted according to the step of increasing and / or reducing the main oil pressure.

[0031] Figure 2BIt is the process 22 of performing self - learning of the main transmission oil pressure in passive mode according to an embodiment of the present application. When the trigger condition corresponding to the passive mode is satisfied, the controller starts to perform the self - learning process 22 of the main transmission oil pressure in passive mode. Relative to the active mode, the passive mode means that the slip of the transmission is greater than the threshold slip due to the performance degradation of the transmission, rather than being caused by the controller actively reducing the oil pressure. Therefore, in the process 22, first, in step S222, the main oil pressure of the transmission is rapidly increased so that the slip of the transmission is less than the threshold slip, thus avoiding damage to the transmission. Then, in step S224, a preset value is used as the self - learned main oil pressure value. The preset value is associated with the current rotational speed and / or torque region, and the list of the preset values can be separately stored in the vehicle's memory. In the process 22, since the main transmission oil pressure when entering the passive mode can no longer meet the current slip threshold, and the speed and amplitude of increasing the main transmission oil pressure are both faster (compared with performing in the active mode to prevent damage to the transmission), the main transmission oil pressure before being increased and the main transmission oil pressure after being increased have limited reference value for making the slip of the transmission exceed the threshold slip. At this time, by using the preset value associated with the current rotational speed and / or torque region as the self - learned main oil pressure value, the excessive error of the self - learned value can be reduced, and then wait to gradually obtain a more accurate main oil pressure value through self - learning in the active mode.

[0032] Figure 2A The process 21 in Figure 2B and the process 22 in

[0033] Figure 4 can complement each other, so that all the set main oil pressure values can be continuously updated dynamically to avoid too long an update interval due to only one mode. For example, compared with only performing self - learning in the active mode, the combination of the active mode and the passive mode can avoid a long time without updating the set main oil pressure value between two active modes (for example, between driving mileages of 5000 km and 10000 km); compared with only performing self - learning in the passive mode, the combination of the active mode and the passive mode can avoid irreversible failures and damages caused by making adjustments only when a failure occurs. In some embodiments, all the updated set main oil pressure values can be uploaded to the cloud together with the vehicle driving data for vehicle development, maintenance, and repair by the vehicle manufacturer or the repairer. Figure 4 As shown in Figure 1The self-learning method 10 of the main oil pressure of the transmission shown is executed.

[0034] In addition, as described above, the present application can also be implemented as a computer-readable storage medium in which instructions for causing a computer to execute the self-learning method 10 as Figure 1 shown are stored. Here, as the computer-readable storage medium, various types of computer-readable storage media such as disk types (e.g., magnetic disks, optical disks, etc.), card types (e.g., memory cards, optical cards, etc.), semiconductor memory types (e.g., ROM, non-volatile memories, etc.), tape types (e.g., magnetic tapes, cassette tapes, etc.) can be adopted.

[0035] The present application can also be implemented as a computer program product that includes instructions that cause a computer to execute the self-learning method 10 as Figure 1 shown.

[0036] In applicable cases, various embodiments provided by the present application can be implemented using hardware, software, or a combination of hardware and software. Moreover, in applicable cases, without departing from the scope of the present application, the various hardware components and / or software components described herein can be combined into composite components including software, hardware, and / or both. In applicable cases, without departing from the scope of the present application, the various hardware components and / or software components described herein can be divided into sub-components including software, hardware, or both. Additionally, in applicable cases, it is contemplated that software components can be implemented as hardware components and vice versa.

[0037] The software according to the present application (such as program code and / or data) can be stored on one or more computer-readable storage media. It is also contemplated that one or more general-purpose or special-purpose computers and / or computer systems in a networked and / or other manner can be used to implement the software identified herein. In applicable cases, the order of the various steps described herein can be changed, combined into composite steps, and / or divided into sub-steps to provide the features described herein.

[0038] Embodiments and examples are provided herein to best illustrate the embodiments in accordance with the present application and its specific applications, and thereby enable those skilled in the art to implement and use the present application. However, those skilled in the art will know that the above description and examples are provided only for the convenience of illustration and exemplification. The proposed description is not intended to cover all aspects of the present application or to limit the present application to the precise form disclosed.

Claims

1. A self-learning method for the main oil pressure of a transmission, the method comprising: Obtaining set main oil pressure values of a vehicle in various rotational speed and / or torque regions; Monitoring a trigger condition for self-learning of the main oil pressure of the transmission to determine whether the trigger condition is satisfied; In response to the trigger condition being satisfied, performing self-learning of the main oil pressure of the transmission according to a mode corresponding to the trigger condition to obtain a self-learned main oil pressure value; And Updating all set main oil pressure values based on the obtained self-learned main oil pressure value.

2. The method according to claim 1, wherein The trigger condition includes: the driving mileage of the vehicle reaches a threshold mileage, and the slip of the transmission exceeds a threshold slip; and wherein, the mode corresponding to the driving mileage of the vehicle reaching the threshold mileage is an active mode, and the mode corresponding to the slip of the transmission exceeding the threshold slip is a passive mode.

3. The method according to claim 2, wherein, Performing self-learning of the main oil pressure of the transmission according to the active mode includes: Reducing the main oil pressure of the transmission by one unit; Determining whether the slip of the transmission exceeds the threshold slip; In response to determining that the slip of the transmission does not exceed the threshold slip, continuously reducing the main oil pressure of the transmission by one unit; In response to determining that the slip of the transmission exceeds the threshold slip, quickly increasing the main oil pressure of the transmission so that the slip of the transmission is less than the threshold slip; and Recording the average value of the increased main oil pressure and the main oil pressure before the increase as the base value of the main oil pressure in the current rotational speed and / or torque region, and adding a compensation value to the base value to obtain a self-learned main oil pressure value.

4. The method according to claim 2, wherein, Performing self-learning of the main oil pressure of the transmission according to the passive mode includes: Quickly increasing the main oil pressure of the transmission so that the slip of the transmission is less than the threshold slip; and Taking a preset value as the self-learned main oil pressure value, the preset value being associated with the current rotational speed and / or torque region.

5. The method according to claim 3 or 4, wherein Updating all set main oil pressure values based on the obtained self-learned main oil pressure value includes: Updating the set main oil pressure value in the current rotational speed and / or torque region to the self-learned main oil pressure value; According to the proximity of the remaining rotational speed and / or torque regions to the current rotational speed and / or torque region, updating the set main oil pressure values in the remaining rotational speed and / or torque regions to the weighted average of the set main oil pressure values in the remaining rotational speed and / or torque regions and the self-learned main oil pressure value.

6. The method according to claim 2, wherein The driving mileage of the vehicle reaching the threshold mileage further includes: the driving mileage of the vehicle in a high rotational speed and high torque state reaches a first threshold, the driving mileage of the vehicle in a high rotational speed and low torque state reaches a second threshold, the driving mileage of the vehicle in a low rotational speed and high torque state reaches a third threshold, the driving mileage of the vehicle in a low rotational speed and low torque state reaches a fourth threshold or any combination thereof.

7. The method according to claim 2, wherein The trigger condition further includes: the oil temperature of the transmission exceeds a threshold temperature, the rotational speed of the vehicle exceeds a threshold rotational speed, the torque of the vehicle exceeds a threshold torque or any combination thereof.

8. A self-learning system for the main oil pressure of a transmission, the system comprising: A processor; A memory; And A computer program, which is stored on the memory and is executable on the processor, and the execution of the computer program causes the method according to any one of claims 1-7 to be performed.

9. A computer-readable storage medium, which includes instructions that, when running, execute the method according to any one of claims 1-7.

10. A computer program product, which includes instructions that, when running, execute the method according to any one of claims 1-7.

Images