Transmission brake assembly optimization method, device, equipment and medium

Abstract

The embodiment of the invention provides a transmission brake assembly optimization method and device, equipment and a medium, and relates to the technical field of transmissions.The method comprises the steps that fault data of a transmission brake are obtained, and the fault data are analyzed to determine fault factors of the transmission brake; the fault factors comprise a sealing ring defect, a working condition control defect and an unbalance loading inhibition defect; determining a sealing ring influence factor according to the sealing ring defect, and generating a sealing ring optimization strategy according to the sealing ring influence factor through the optimization model; working condition influence factors are determined according to the working condition control defects, and a working condition control optimization strategy is generated according to the working condition influence factors through an optimization model; and determining unbalance load suppression influence factors according to the unbalance load suppression defects, and generating an unbalance load suppression optimization strategy according to the unbalance load suppression influence factors through the optimization model to obtain a final optimization strategy. Omnibearing optimization of the transmission brake can be achieved, and the failure rate of the transmission brake is reduced.

Description

Technical Field

[0001] This invention relates to the field of transmission technology, and more specifically, to a method, apparatus, device, and medium for optimizing a transmission brake assembly. Background Technology

[0002] As a core component for power transmission and shift control, the reliability of the automatic transmission brake, including its friction pairs and piston sealing ring assembly, directly determines the transmission's lifespan and the vehicle's driving safety. Existing transmission brakes on the market suffer from high failure rates due to limitations in materials and structural parameters, severely impacting vehicle economy and reliability. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to provide a method, apparatus, device and medium for optimizing a transmission brake assembly, so as to reduce the failure rate of the transmission brake.

[0004] To achieve the above objectives, the technical solutions adopted in the embodiments of the present invention are as follows: In a first aspect, embodiments of the present invention provide a method for optimizing a transmission brake assembly, comprising: Fault data of the transmission brake is acquired, and the fault data is analyzed to determine the fault factors of the transmission brake; the fault factors include sealing ring defects, operating condition control defects, and off-center load suppression defects. Based on the defects of the sealing ring, the influencing factors of the sealing ring are determined, and an optimization strategy for the sealing ring is generated by an optimization model based on the influencing factors of the sealing ring. Based on the aforementioned operating condition control defects, the influencing factors of the operating condition are determined, and an operating condition control optimization strategy is generated using the optimization model based on the influencing factors of the operating condition. Based on the aforementioned defects in eccentric load suppression, the influencing factors of eccentric load suppression are determined, and an eccentric load suppression optimization strategy is generated using the aforementioned optimization model based on the influencing factors of eccentric load suppression. The final optimization strategy for the transmission brake is generated based on the sealing ring optimization strategy, the operating condition control optimization strategy, and the off-center load suppression optimization strategy.

[0005] In an optional implementation, the sealing ring influencing factors include the axial travel of the sealing ring, and the step of generating a sealing ring optimization strategy based on the sealing ring influencing factors includes: A dimensional chain calculation formula corresponding to the axial travel of the sealing ring is constructed, and multiple influencing factors of the axial travel of the sealing ring are determined based on the dimensional chain calculation formula; Multiple influencing factors were tested using bench tests, and the optimization strategy for the sealing ring was determined based on the test results. The influencing factors include the aspect ratio of the sealing ring, the material of the sealing ring, and the coefficient of friction of the sealing ring.

[0006] In an optional implementation, the sealing ring optimization strategy includes: Adjust the aspect ratio of the sealing ring from a first ratio to a second ratio, wherein the second ratio is greater than the first ratio; and / or The material of the sealing ring is changed from a first material to a second material, the second material having greater temperature resistance and oil resistance than the first material; and / or A coating is added to the surface of the sealing ring, the coefficient of friction of which is less than that of the sealing ring.

[0007] In an optional implementation, the sealing ring influencing factors include the sealing ring structure, and the step of generating a sealing ring optimization strategy based on the sealing ring influencing factors includes: The factors affecting the lifespan of the sealing ring are determined based on the sealing ring structure; these factors include the sealing performance of the sealing ring, the pressure per unit area of ​​the sealing ring, and the degree of wear of the sealing ring. The sealing ring optimization strategy is generated based on the sealing performance of the sealing ring, the pressure per unit area of ​​the sealing ring, and the degree of wear of the sealing ring.

[0008] In an optional implementation, the sealing ring optimization strategy includes: The chamfer angle of the groove of the sealing ring is set from a first angle to a second angle, where the second angle is smaller than the first angle; and / or Adjust the contact area between the sealing ring and the sealing ring housing from a first area to a second area, where the second area is larger than the first area; and / or A coating is added to the groove surface of the sealing ring, the roughness of the coating being less than the roughness of the groove surface.

[0009] In an optional implementation, the operating condition influencing factors include oil pressure, torque, and road conditions. The step of generating an operating condition control optimization strategy based on the operating condition influencing factors includes: When the road conditions are less than the preset gradient, the oil pressure is set to the first oil pressure and the torque is set to the first torque. When the road condition is greater than or equal to the preset gradient, the oil pressure is set to a second oil pressure, the torque is set to a second torque, the second oil pressure is less than the first oil pressure, and the second torque is less than the first torque.

[0010] In an optional embodiment, the factors affecting off-center load suppression include a retaining ring and a friction plate, wherein the retaining ring, the friction plate, and the sealing ring cooperate to brake the brake, and the off-center load suppression optimization strategy includes: An annular groove is provided on the brake housing, the opening of the retaining ring is embedded in the annular groove, and a boss is provided on the inner side of the retaining ring, the boss cooperating with the positioning hole of the friction plate; and / or A boss is set on the inner ring of the friction plate, and the surface of the friction plate is designed with a variable thickness.

[0011] In a second aspect, embodiments of the present invention provide a transmission brake assembly optimization device, comprising: The data acquisition module is used to acquire fault data of the transmission brake, analyze the fault data to determine the fault factors of the transmission brake; the fault factors include sealing ring defects, operating condition control defects, and off-center load suppression defects. The first optimization module is used to determine the influencing factors of the sealing ring based on the sealing ring defects, and to generate a sealing ring optimization strategy based on the influencing factors of the sealing ring through an optimization model. The second optimization module is used to determine the influencing factors of the operating conditions based on the operating condition control defects, and to generate an operating condition control optimization strategy based on the influencing factors of the operating conditions through the optimization model. The third optimization module is used to determine the factors affecting off-center load suppression based on the off-center load suppression defects, and to generate an off-center load suppression optimization strategy based on the factors affecting off-center load suppression through the optimization model. The final optimization module is used to generate the final optimization strategy for the transmission brake based on the sealing ring optimization strategy, the operating condition control optimization strategy, and the off-center load suppression optimization strategy.

[0012] Thirdly, embodiments of the present invention provide an electronic device, including a processor and a memory, wherein the memory stores machine-executable instructions that can be executed by the processor, and the processor can execute the machine-executable instructions to implement the transmission brake assembly optimization method described in the first aspect.

[0013] Fourthly, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the transmission brake assembly optimization method described in the first aspect.

[0014] This invention provides a method, apparatus, device, and medium for optimizing a transmission brake assembly. By analyzing the failure factors of the transmission brake, the method optimizes the transmission brake from multiple aspects, such as sealing ring defects, operating condition control defects, and off-center load suppression defects, and generates multiple optimization strategies. Then, based on these multiple optimization strategies, the method generates the final optimization strategy for the transmission brake, thereby achieving comprehensive optimization of the transmission brake in multiple dimensions and greatly reducing the failure rate of the transmission brake.

[0015] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 A block diagram of an electronic device provided by an embodiment of the present invention is shown; Figure 2 A flowchart illustrating a method for optimizing a transmission brake assembly according to an embodiment of the present invention is shown. Figure 3 A schematic diagram illustrating the principle of a working condition control optimization method provided by an embodiment of the present invention is shown; Figure 4 A functional block diagram of a transmission brake assembly optimization device provided in an embodiment of the present invention is shown.

[0018] icon: 100 - Electronic device; 110 - Memory; 120 - Processor; 130 - Communication module; 400 - Gearbox brake assembly optimization device; 401 - Data acquisition module; 402 - First optimization module; 403 - Second optimization module; 404 - Third optimization module; 405 - Final optimization module. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0020] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0021] It should be noted that relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0022] Please refer to Figure 1 , Figure 1 This is a block diagram of an electronic device 100 provided in this embodiment. The electronic device 100 includes a memory 110, a processor 120, and a communication module 130. The memory 110, processor 120, and communication module 130 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, these components can be electrically connected to each other through one or more communication buses or signal lines.

[0023] The memory 110 is used to store programs or data. The memory 110 may be, but is not limited to, random access memory (RAM), read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), etc.

[0024] The processor 120 is used to read / write data or programs stored in the memory 110 and to perform corresponding functions.

[0025] The communication module 130 is used to establish a communication connection between the electronic device 100 and other communication terminals through the network, and to send and receive data through the network.

[0026] It should be understood that, Figure 1 The structure shown is only a schematic diagram of the electronic device 100. The electronic device 100 may also include components that are larger than... Figure 1The more or fewer components shown, or having the same Figure 1 The different configurations shown. Figure 1 The components shown can be implemented using hardware, software, or a combination thereof.

[0027] Please refer to Figure 2 , Figure 2 This is a flowchart illustrating a method for optimizing a transmission brake assembly provided in this embodiment. The method includes: S201. Obtain fault data of the transmission brake, analyze the fault data to determine the fault factors of the transmission brake; the fault factors include sealing ring defects, operating condition control defects and off-center load suppression defects.

[0028] Fault data can be collected from multiple sources. For example, according to the "2024 Global Automatic Transmission Fault Statistics Report", brake-related faults account for 38% of all transmission faults, of which friction pair failure and sealing ring damage account for 62% and 28%, respectively.

[0029] Combined with other relevant fault statistics, the incidence of D-type sealing ring wear and breakage reached 32%, accompanied by a 25% decrease in the torque transmission capacity of the friction plate. Disassembly and verification revealed that when the outer D-type sealing ring wore down to 2.2mm, the sealing lip showed significant tearing, resulting in complete sealing failure. When the inner piston movement exceeded 1.7mm, the D-type sealing ring experienced excessive compression against the groove sidewall. Simultaneously, the friction plate exhibited severe uneven loading, compounded by a peak main hydraulic pressure of 18 bar (design value 14~16 bar) under full throttle conditions in reverse gear, and torque exceeding the limit of 230 N•m in the 7X model (design value ≤200 N•m), further accelerating the aging of the sealing ring and the wear of the friction pair.

[0030] Statistical analysis of the fault data reveals that the main factors contributing to the failure of the transmission brake include three aspects: sealing ring defects, operating condition control defects, and off-center load suppression defects.

[0031] S202. Determine the influencing factors of the sealing ring based on the defects of the sealing ring, and generate an optimization strategy for the sealing ring based on the influencing factors of the sealing ring through an optimization model.

[0032] Defects in sealing rings can be caused by a variety of factors, such as the structure of the sealing ring. Existing piston sealing rings are mainly D-rings and O-rings, with a fixed clearance design. The axial stroke is controlled by dimensional chain calculations, but the cumulative effect of part machining errors and the squeezing damage to the sealing ring caused by off-center loads are not considered.

[0033] In addition, factors such as the material or shape of the sealing ring may also lead to defects. Therefore, a variable analysis method can be used to test the sealing ring through an optimization model, testing the impact of different factors on the sealing ring, and then determining the optimal solution as the sealing ring optimization strategy. This embodiment mainly uses a D-type ring as an example for illustration; O-type rings can also be optimized in the same or similar way.

[0034] S203. Determine the influencing factors of the operating conditions based on the aforementioned operating condition control defects, and generate an operating condition control optimization strategy based on the aforementioned influencing factors using the optimization model.

[0035] Operating conditions can be influenced by factors such as road conditions and torque during vehicle operation. Different road conditions have different effects on the transmission brakes. Therefore, an optimization model can be used to simulate the effects of different torques on the transmission brakes under different road conditions, and then an optimal solution can be generated as the operating condition control optimization strategy.

[0036] S204. Determine the influencing factors of off-center load suppression based on the aforementioned off-center load suppression defects, and generate an off-center load suppression optimization strategy based on the aforementioned off-center load suppression influencing factors through the optimization model.

[0037] The core of off-center load suppression is to offset the negative impact of uneven load distribution through structural design, control strategies, or compensation methods, thereby ensuring stable equipment operation. The factors affecting off-center load suppression of brakes are mainly due to the design of the brakes themselves. Therefore, corresponding optimization strategies can be determined based on the design defects of existing brakes.

[0038] S205. Generate the final optimization strategy for the transmission brake based on the sealing ring optimization strategy, the operating condition control optimization strategy, and the off-center load suppression optimization strategy.

[0039] After determining the sealing ring optimization strategy, the operating condition control optimization strategy, and the off-center load suppression optimization strategy, these three optimization strategies can be combined and adjusted to obtain an optimal solution, thereby achieving comprehensive optimization of the transmission brake.

[0040] This embodiment analyzes the failure factors of the transmission brake and optimizes the transmission brake from multiple aspects such as sealing ring defects, operating condition control defects, and off-center load suppression defects. It generates multiple optimization strategies and then generates the final optimization strategy for the transmission brake based on these strategies. This achieves comprehensive optimization of the transmission brake in multiple dimensions and greatly reduces the failure rate of the transmission brake.

[0041] In one embodiment, the sealing ring influencing factors include the axial travel of the sealing ring, and the step of generating a sealing ring optimization strategy based on the sealing ring influencing factors includes: A dimensional chain calculation formula corresponding to the axial travel of the sealing ring is constructed, and multiple influencing factors of the axial travel of the sealing ring are determined based on the dimensional chain calculation formula; Multiple influencing factors were tested using bench tests, and the optimization strategy for the sealing ring was determined based on the test results. The influencing factors include the aspect ratio of the sealing ring, the material of the sealing ring, and the coefficient of friction of the sealing ring.

[0042] Existing sealing rings are mainly D-rings and O-rings. Taking the D-ring as an example, the axial stroke S1 of the D-ring, that is, the maximum piston movement distance, is a key parameter affecting the life of the sealing ring. It is necessary to ensure that S1≥1.35mm through dimensional chain extreme value calculation to avoid the D-ring from failing after 2.2mm of wear.

[0043] Dimension chain calculation formula: (1) Wherein, H1 is the dimension of the housing-piston mating surface, with a design value of 203.1 mm, a tolerance of ±0.05 mm, and a measured range of 203.05~203.15 mm. H2 is the piston height, with a design value of 193.4 mm, a tolerance of ±0.2 mm, and a measured range of 193.2~193.6 mm. H3 is the depth of the D-ring groove, with a design value of 1.5 mm, a tolerance of ±0.2 mm, and a measured range of 1.3~1.7 mm. H4 is the groove chamfer dimension, 0 mm before improvement, 0.1 mm after improvement, with a tolerance of ±0.05 mm, and a measured range of 0.05~0.15 mm. H5 is the clutch clearance, with a design value of 1.1 mm, a tolerance of ±0.1 mm, and a measured range of 1.0~1.2 mm.

[0044] According to the extreme value method of the size chain, the minimum S1 = H1min - H2max - H3max - H4max - H5max.

[0045] Right now, =203.05-193.6-1.7-0.15-1.2=1.35mm, which ensures that the piston movement is ≤1.5mm, and there is still enough stroke before the wear reaches 2.2mm, so as to avoid seal failure.

[0046] Please refer to Table 1. In order to determine the optimal optimization method for the sealing ring and generate the corresponding sealing ring optimization strategy, this embodiment conducts bench experiments through multiple control groups to finally determine the specific data of each parameter corresponding to the optimal optimization method.

[0047] Table 1

[0048] As shown in Table 1, in one embodiment, the sealing ring optimization strategy includes: Adjust the aspect ratio of the sealing ring from a first ratio to a second ratio, wherein the second ratio is greater than the first ratio; and / or The material of the sealing ring is changed from a first material to a second material, the second material having greater temperature resistance and oil resistance than the first material; and / or A coating is added to the surface of the sealing ring, the coefficient of friction of which is less than that of the sealing ring.

[0049] The first ratio is 1:1, the second ratio is 1.2:1, and the material of the D-ring is changed from nitrile rubber (NBR) to fluororubber (FKM), which increases the temperature resistance of the D-ring from 130℃ to 150℃ and the oil resistance by 50%. A polytetrafluoroethylene (PTFE) coating with a thickness of 5~10μm is used to reduce the coefficient of friction.

[0050] This embodiment uses bench tests to test the sealing ring from multiple aspects, thereby obtaining a multi-faceted optimization strategy for the sealing ring, which comprehensively reduces the wear of the sealing ring and improves its service life.

[0051] In one embodiment, the sealing ring influencing factors include the sealing ring structure, and the step of generating a sealing ring optimization strategy based on the sealing ring influencing factors includes: The factors affecting the lifespan of the sealing ring are determined based on the sealing ring structure; these factors include the sealing performance of the sealing ring, the pressure per unit area of ​​the sealing ring, and the degree of wear of the sealing ring. The sealing ring optimization strategy is generated based on the sealing performance of the sealing ring, the pressure per unit area of ​​the sealing ring, and the degree of wear of the sealing ring.

[0052] Besides the material and aspect ratio of the sealing ring itself, the structure of the sealing ring also affects its lifespan. For example, errors during the manufacturing process or scratches on the sealing lip during assembly can reduce the lifespan of the sealing ring.

[0053] The sealing ring optimization strategy includes: The chamfer angle of the groove of the sealing ring is set from a first angle to a second angle, where the second angle is smaller than the first angle; and / or Adjust the contact area between the sealing ring and the sealing ring housing from a first area to a second area, where the second area is larger than the first area; and / or A coating is added to the groove surface of the sealing ring, the roughness of the coating being less than the roughness of the groove surface.

[0054] Since the existing sealing rings typically use right-angled grooves for the sealing lip, the sealing lip is easily scratched during assembly. Therefore, the groove chamfer of the D-ring can be optimized by machining a 0.1mm×45° chamfer on the inner side of the groove and using laser chamfering technology to ensure an accuracy within 0.01mm, thus avoiding scratches on the sealing lip during assembly.

[0055] Additionally, the sealing fit length between the piston and the housing can be increased from 15.5 mm to 17 mm, increasing the sealing contact area and reducing the pressure per unit area. Furthermore, the surface roughness of the groove can be reduced from Ra1.6 μm to Ra0.8 μm, reducing wear on the sealing ring.

[0056] This embodiment optimizes the sealing ring by improving the chamfer of the sealing ring groove, increasing the contact area of ​​the sealing ring, and reducing the surface roughness of the groove, which greatly increases the service life of the sealing ring and reduces the failure rate of the sealing ring.

[0057] Please refer to Figure 3 , Figure 3 This is a schematic diagram illustrating the principle of a working condition control optimization method provided in this embodiment.

[0058] In one embodiment, the operating condition influencing factors include oil pressure, torque, and road conditions. The step of generating an operating condition control optimization strategy based on the operating condition influencing factors includes: When the road conditions are less than the preset gradient, the oil pressure is set to the first oil pressure and the torque is set to the first torque. When the road condition is greater than or equal to the preset gradient, the oil pressure is set to a second oil pressure, the torque is set to a second torque, the second oil pressure is less than the first oil pressure, and the second torque is less than the first torque.

[0059] The hydraulic pressure and torque of a car under different road conditions can be tested using simulation software or field tests. These tests show that using the same hydraulic pressure and torque on flat roads and slopes will have different effects on the brakes. For example, using full throttle in reverse gear can lead to excessive torque and hydraulic pressure, affecting the lifespan of the brakes.

[0060] Therefore, by establishing an adaptive control logic based on hydraulic pressure, torque, and road conditions, the control parameters can be set as follows: on flat roads (i.e., slope less than 5%), hydraulic pressure 15-16 bar, torque ≤ 200 N·m, and shift time as normal. On sloped roads (i.e., slope ≥ 5%), the control parameters can be set as follows: hydraulic pressure ≤ 14 bar, torque ≤ 180 N·m, and shift time ≤ 10%.

[0061] At the same time, the surface pressure of the friction plates of the friction pair can be monitored to obtain the stress state of the friction pair in real time.

[0062] The surface pressure is calculated as torque / coefficient of friction × contact area. When the surface pressure is ≥ 5.2 MPa, the oil pressure is reduced by 0.5 bar, and the torque is reduced by 5%. This process can be repeated multiple times until the surface pressure is < 5.2 MPa. When the surface pressure is < 5.2 MPa, subsequent control can be achieved through TCU dynamic calibration. TCU dynamic calibration refers to the process of dynamically adjusting and optimizing the transmission control unit (TCU) to ensure that the transmission achieves optimal performance under various real-world driving conditions.

[0063] Table 2

[0064] This embodiment establishes an adaptive control logic based on oil pressure, torque, and road conditions, thereby achieving adaptive control of oil pressure and torque under different road conditions. This reduces the wear of sealing rings and friction plates. By calculating surface pressure in real time and implementing stepped protection, it solves the problem of fixed-calibration working condition adaptation in existing technologies.

[0065] In one embodiment, the off-center load suppression influencing factors include a retaining ring and a friction plate, wherein the retaining ring, the friction plate, and the sealing ring cooperate to brake the brake, and the off-center load suppression optimization strategy includes: An annular groove is provided on the brake housing, the opening of the retaining ring is embedded in the annular groove, and a boss is provided on the inner side of the retaining ring, the boss cooperating with the positioning hole of the friction plate; and / or A boss is set on the inner ring of the friction plate, and the surface of the friction plate is designed with a variable thickness.

[0066] Current retaining rings are generally in a free-open state without axial positioning. The retaining ring is prone to axial movement due to vibration, which leads to axial positioning deviation of the friction plate. In addition, the friction plate has a planar contact form, and the outer ring of the first friction plate is subjected to concentrated force. The local surface pressure exceeds the material limit, which accelerates the wear of the friction plate.

[0067] Therefore, an annular groove with a depth of 2mm and a width of 5mm can be set on the brake housing. The tolerance of the annular groove is H7. The retaining ring is an elastic retaining ring made of 65Mn with a hardness of HRC40~45. It adopts a transition fit with the housing groove with a tolerance of g6 and an axial clearance ≤0.1mm.

[0068] Additionally, a 0.5mm boss can be machined on the inner side of the retaining ring to mate with the positioning hole of the friction plate, with a gap of ≤0.05mm between them, ensuring that the axial positioning accuracy of the friction plate is ≤0.1mm. This structure can prevent axial movement of the retaining ring, reducing the amount of movement from 0.8mm to 0.05mm, and reducing the positioning deviation of the friction plate by 94%.

[0069] On the other hand, a 0.3mm boss can be added to the inner ring of the friction plate. The boss is made of the same material as the friction plate base and is formed by stamping with an accuracy of ±0.02mm. The boss is evenly distributed along the circumference. For example, if 8 bosses are set with a spacing of 45° between them, the contact area of ​​the inner ring of the first friction plate can be increased from 30% to 80%.

[0070] In addition, a variable thickness design can be adopted on the surface of the friction plate, such as an inner ring thickness of 3.3 mm and an outer ring thickness of 3.0 mm, to compensate for possible slight deformation of the steel plate and improve the surface pressure distribution uniformity from 70% to 90%.

[0071] Verified by the pressure distribution testing system, the optimized friction plate surface pressure has a maximum value of 5.0 MPa, a minimum value of 4.6 MPa, and a uniformity of 92%, meeting the design requirements.

[0072] In one embodiment, the step of generating the final optimization strategy for the transmission brake based on the sealing ring optimization strategy, the operating condition control optimization strategy, and the off-center load suppression optimization strategy may include: The sealing ring optimization strategy, the operating condition control optimization strategy, and the off-center load suppression optimization strategy are combined to obtain the final optimization strategy. Alternatively, after combining the sealing ring optimization strategy, the operating condition control optimization strategy, and the off-center load suppression optimization strategy, the combined strategy is verified multiple times, and each strategy is adjusted and optimized to obtain the final optimization strategy.

[0073] To perform the corresponding steps in the above embodiments and various possible methods, an implementation of a transmission brake assembly optimization device is given below. Optionally, please refer to... Figure 4 , Figure 4 This is a functional block diagram of a transmission brake assembly optimization device provided in an embodiment of the present invention. It should be noted that the basic principle and technical effects of the transmission brake assembly optimization device provided in this embodiment are the same as those in the above embodiments. For the sake of brevity, any parts not mentioned in this embodiment can be referred to the corresponding content in the above embodiments. The transmission brake assembly optimization device 400 includes: The data acquisition module 401 is used to acquire fault data of the transmission brake and analyze the fault data to determine the fault factors of the transmission brake; the fault factors include sealing ring defects, operating condition control defects and off-center load suppression defects. The first optimization module 402 is used to determine the influencing factors of the sealing ring based on the sealing ring defects, and to generate a sealing ring optimization strategy based on the influencing factors of the sealing ring through an optimization model. The second optimization module 403 is used to determine the influencing factors of the operating condition based on the operating condition control defects, and to generate an operating condition control optimization strategy based on the influencing factors of the operating condition through the optimization model. The third optimization module 404 is used to determine the factors affecting the off-center load suppression based on the off-center load suppression defects, and to generate an off-center load suppression optimization strategy based on the factors affecting the off-center load suppression through the optimization model. The final optimization module 405 is used to generate the final optimization strategy for the transmission brake based on the sealing ring optimization strategy, the operating condition control optimization strategy, and the off-center load suppression optimization strategy.

[0074] Optionally, the above modules can be stored in the form of software or firmware. Figure 1 The memory shown is either stored in or embedded in the operating system (OS) of the electronic device, and can be used by... Figure 1 The processor executes the commands. Meanwhile, the data and program code required to execute these modules can be stored in memory.

[0075] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative; for example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0076] In addition, the functional modules in the various embodiments of the present invention can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0077] If the aforementioned functions are implemented as software functional 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 this invention, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0078] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, optimizations, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for optimizing a transmission brake assembly, characterized in that, include: Obtain fault data of the transmission brake, and analyze the fault data to determine the fault factors of the transmission brake; The failure factors include sealing ring defects, operating condition control defects, and off-center load suppression defects. Based on the defects of the sealing ring, the influencing factors of the sealing ring are determined, and an optimization strategy for the sealing ring is generated by an optimization model based on the influencing factors of the sealing ring. Based on the aforementioned operating condition control defects, the influencing factors of the operating condition are determined, and an operating condition control optimization strategy is generated using the optimization model based on the influencing factors of the operating condition. Based on the aforementioned defects in eccentric load suppression, the influencing factors of eccentric load suppression are determined, and an eccentric load suppression optimization strategy is generated using the aforementioned optimization model based on the influencing factors of eccentric load suppression. The final optimization strategy for the transmission brake is generated based on the sealing ring optimization strategy, the operating condition control optimization strategy, and the off-center load suppression optimization strategy.

2. The method for optimizing a transmission brake assembly according to claim 1, characterized in that, The factors affecting the sealing ring include the axial travel of the sealing ring. The step of generating a sealing ring optimization strategy based on the factors affecting the sealing ring includes: A dimensional chain calculation formula corresponding to the axial travel of the sealing ring is constructed, and multiple influencing factors of the axial travel of the sealing ring are determined based on the dimensional chain calculation formula; Multiple influencing factors were tested using bench tests, and the optimization strategy for the sealing ring was determined based on the test results. The influencing factors include the aspect ratio of the sealing ring, the material of the sealing ring, and the coefficient of friction of the sealing ring.

3. The method for optimizing the transmission brake assembly according to claim 2, characterized in that, The sealing ring optimization strategy includes: Adjust the aspect ratio of the sealing ring from a first ratio to a second ratio, wherein the second ratio is greater than the first ratio; and / or The material of the sealing ring is changed from a first material to a second material, the second material having greater temperature resistance and oil resistance than the first material; and / or A coating is added to the surface of the sealing ring, the coefficient of friction of which is less than that of the sealing ring.

4. The method for optimizing a transmission brake assembly according to claim 1, characterized in that, The factors affecting the sealing ring include the sealing ring structure, and the step of generating a sealing ring optimization strategy based on the factors affecting the sealing ring includes: The factors affecting the lifespan of the sealing ring are determined based on the sealing ring structure; these factors include the sealing performance of the sealing ring, the pressure per unit area of ​​the sealing ring, and the degree of wear of the sealing ring. The sealing ring optimization strategy is generated based on the sealing performance of the sealing ring, the pressure per unit area of ​​the sealing ring, and the degree of wear of the sealing ring.

5. The method for optimizing the transmission brake assembly according to claim 4, characterized in that, The sealing ring optimization strategy includes: The chamfer angle of the groove of the sealing ring is set from a first angle to a second angle, where the second angle is smaller than the first angle; and / or Adjust the contact area between the sealing ring and the sealing ring housing from a first area to a second area, where the second area is larger than the first area; and / or A coating is added to the groove surface of the sealing ring, the roughness of the coating being less than the roughness of the groove surface.

6. The method for optimizing a transmission brake assembly according to claim 1, characterized in that, The operating condition influencing factors include oil pressure, torque, and road conditions. The step of generating an operating condition control optimization strategy based on the operating condition influencing factors includes: When the road conditions are less than the preset gradient, the oil pressure is set to the first oil pressure and the torque is set to the first torque. When the road condition is greater than or equal to the preset gradient, the oil pressure is set to a second oil pressure, the torque is set to a second torque, the second oil pressure is less than the first oil pressure, and the second torque is less than the first torque.

7. The method for optimizing a transmission brake assembly according to claim 1, characterized in that, The factors affecting off-center load suppression include the retaining ring and the friction plate. The retaining ring and the friction plate work together to brake the brake. The off-center load suppression optimization strategy includes: An annular groove is provided on the brake housing, the opening of the retaining ring is embedded in the annular groove, and a boss is provided on the inner side of the retaining ring, the boss cooperating with the positioning hole of the friction plate; and / or A boss is set on the inner ring of the friction plate, and the surface of the friction plate is designed with a variable thickness.

8. A transmission brake assembly optimization device, characterized in that, include: The data acquisition module is used to acquire fault data of the transmission brake and analyze the fault data to determine the fault factors of the transmission brake. The failure factors include sealing ring defects, operating condition control defects, and off-center load suppression defects. The first optimization module is used to determine the influencing factors of the sealing ring based on the sealing ring defects, and to generate a sealing ring optimization strategy based on the influencing factors of the sealing ring through an optimization model. The second optimization module is used to determine the influencing factors of the operating conditions based on the operating condition control defects, and to generate an operating condition control optimization strategy based on the influencing factors of the operating conditions through the optimization model. The third optimization module is used to determine the factors affecting off-center load suppression based on the off-center load suppression defects, and to generate an off-center load suppression optimization strategy based on the factors affecting off-center load suppression through the optimization model. The final optimization module is used to generate the final optimization strategy for the transmission brake based on the sealing ring optimization strategy, the operating condition control optimization strategy, and the off-center load suppression optimization strategy.

9. An electronic device, characterized in that, It includes a processor and a memory, the memory storing machine-executable instructions that can be executed by the processor to implement the transmission brake assembly optimization method according to any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the transmission brake assembly optimization method as described in any one of claims 1-7.

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