Clutch durability load spectrum generation method, device and equipment and readable storage medium

Abstract

The invention discloses a clutch durability load spectrum generation method, device and equipment and a readable storage medium, and relates to the technical field of clutch durability tests.The clutch durability load spectrum generation method comprises the following steps that S10, a whole vehicle model including a double-clutch gearbox model is established, and parameters of the whole vehicle model are set; s20, vehicle working condition parameters are obtained, and dynamic simulation is conducted on the vehicle model according to the vehicle working condition parameters; s30, counting double clutch durability events of the double clutch gearbox model in the dynamic simulation process of the whole vehicle model; and S40, generating a double-clutch durability load spectrum of the double-clutch gearbox according to the counted double-clutch durability events of the double-clutch gearbox model. According to the invention, the whole vehicle parameters and the use condition of a terminal customer can be effectively and reasonably converted into the double-clutch durability load spectrum of the double-clutch gearbox, the durability design of the clutch is effectively associated with the terminal customer, and finally, the result credibility of the durability reliability test of the clutch is high.

Description

Technical Field

[0001] The present invention relates to the technical field of clutch durability testing, and in particular to a clutch durability load spectrum generation method, device, equipment and readable storage medium. Background Art

[0002] Dual-clutch transmissions (DCTs) are rapidly gaining popularity in the automotive market due to their advantages, including fast and smooth shifting, virtually uninterrupted power transmission, direct shifting, minimal power loss, and fuel consumption reductions of approximately 10%. Currently, DCTs are primarily categorized as dry and wet. Dry DCTs use air as the coupling medium, resulting in faster shifting despite relatively poor heat dissipation. Wet DCTs, on the other hand, use oil as the coupling medium, offering improved heat dissipation and stability, but with relatively lower power transmission efficiency. In the current market, wet DCTs dominate.

[0003] Dual-clutch transmissions face durability and reliability challenges, especially during frequent starts, long uphill climbs, or in congested traffic. Temperatures can easily rise, potentially causing transmission performance to decline or even enter protection mode, impacting power output. Therefore, durability and reliability testing of dual-clutch transmissions is essential. The clutch durability load spectrum is a key component of these tests.

[0004] The existing technology mainly relies on experience to generate the load spectrum of clutch durability reliability. However, the clutch durability load spectrum generated based on experience is difficult to match the usage scenarios and vehicle parameters of the end users of the vehicle, resulting in insufficient credibility of the results of the clutch durability reliability test. Summary of the Invention

[0005] Embodiments of the present invention provide a clutch durability load spectrum generation method, device, equipment and readable storage medium to solve the technical problem in related technologies that the clutch durability load spectrum is generated based on experience, which is difficult to match with the usage scenarios and vehicle parameters of the end users of the vehicle, resulting in insufficient credibility of the results of the clutch durability reliability test.

[0006] In a first aspect, a method for generating a clutch durability load spectrum is provided, comprising the following steps: Establish a vehicle model including a dual-clutch transmission model and set the vehicle model parameters; Obtain vehicle operating parameters and perform dynamic simulation on the vehicle model based on the vehicle operating parameters; Statistical analysis of dual-clutch durability events of the dual-clutch transmission model during dynamic simulation of the vehicle model; A dual-clutch durable load spectrum of the dual-clutch transmission is generated according to the statistical dual-clutch durable events of the dual-clutch transmission model; wherein the dual-clutch durable load spectrum includes an outer clutch durable load spectrum and an inner clutch durable load spectrum.

[0007] In some embodiments, the statistical analysis of dual-clutch durability events of a dual-clutch transmission model during dynamic simulation of a vehicle model includes: Statistical analysis of large slip durability events in the dual-clutch transmission model during starting and shifting; Statistics of micro-slip durability events of the dual-clutch transmission model during fixed gear operation.

[0008] In some embodiments, the large slip durability event of the statistical dual clutch transmission model during the start and shift process includes: Set the event type number of a single large slip durability event; The starting time is the shift signal of the required gear, and the end time is the moment when the clutch speed is synchronized with the engine speed. The vehicle speed, engine starting torque, starting speed, clutch pressure, clutch slip pressure, inner clutch speed, outer clutch speed, transmission real-time gear position, and gear position after the shift are recorded during this period. Calculate the maximum sliding power, maximum sliding power per unit area, sliding work, and sliding work per unit area for a single large slip endurance event; The recorded and calculated data are stored correspondingly according to the event type number of the set single large slip durability event.

[0009] In some embodiments, the statistical micro-slip durability events of the dual-clutch transmission model during fixed gear operation include: Set the event type number of a single micro-slip durability event; Record the clutch slip time, engine starting speed, clutch starting speed, and clutch torque; Calculate the maximum sliding power, maximum sliding power per unit area, sliding work and sliding work per unit area of ​​a single micro-sliding endurance event; The recorded and calculated data are stored in correspondence with the event type number of the set single micro-slip durability event.

[0010] In some embodiments, generating a dual clutch durability load spectrum of the dual clutch transmission based on the dual clutch durability events of the statistical dual clutch transmission model includes: The large slip durability events and micro slip durability events are normalized to generate the dual clutch durability load spectrum of the dual clutch transmission.

[0011] In some embodiments, the normalizing of the large slip durability events and the micro slip durability events to generate a dual clutch durability load spectrum of the dual clutch transmission includes: Based on the clutch thermal damage equivalence principle, large slip durability events and micro slip durability events are normalized.

[0012] In some embodiments, the vehicle operating condition parameters include mountain operating condition parameters, urban operating condition parameters, high-speed operating condition parameters, suburban operating condition parameters, and extreme climbing operating condition parameters.

[0013] In a second aspect, a clutch durability load spectrum generating device is provided, comprising: A modeling unit, used to establish a vehicle model including a dual-clutch transmission model and set vehicle model parameters; A simulation unit is used to obtain vehicle operating parameters and simulate the vehicle model according to the vehicle operating parameters; A statistical unit is used to count the dual-clutch durability events of the dual-clutch transmission model during the dynamic simulation of the vehicle model; A generating unit is used to generate a dual clutch durability load spectrum of the dual clutch transmission according to the statistical dual clutch durability events of the dual clutch transmission model; wherein the dual clutch durability load spectrum includes an outer clutch durability load spectrum and an inner clutch durability load spectrum.

[0014] In a third aspect, a computer device is provided, comprising: a memory and a processor, wherein the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the aforementioned clutch durability load spectrum generation method.

[0015] In a fourth aspect, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions. When the computer instructions are executed by a computer, the computer executes the aforementioned clutch durability load spectrum generation method.

[0016] The beneficial effects brought about by the technical solution provided by the present invention include: Embodiments of the present invention provide a clutch durability load spectrum generation method, apparatus, device, and readable storage medium. The generation method first establishes a vehicle model including a dual-clutch transmission model and sets vehicle model parameters. The method then obtains vehicle operating parameters, performs dynamic simulation on the vehicle model based on the vehicle operating parameters, and then statistically analyzes the dual-clutch durability events of the dual-clutch transmission model during the dynamic simulation of the vehicle model. Finally, the dual-clutch durability load spectrum of the dual-clutch transmission is generated based on the statistical dual-clutch durability events of the dual-clutch transmission model. The present invention can effectively and rationally convert vehicle parameters and end-customer operating conditions into a dual-clutch durability load spectrum for the dual-clutch transmission, effectively linking the clutch durability design with the end customer. Ultimately, this method results in a highly credible clutch durability reliability test, avoids over-design and insufficient safety factors in the dual-clutch transmission clutch, and effectively improves test design and development efficiency while significantly reducing test costs, shortening the project development cycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 A schematic flow chart of a method for generating a clutch durability load spectrum provided by an embodiment of the present invention; Figure 2 The embodiment of the present invention provides Figure 1 A schematic flow chart of implementing step S30; Figure 3 The embodiment of the present invention provides Figure 2 A flow chart of implementing step S301; Figure 4 The embodiment of the present invention provides Figure 3 Schematic diagram of the large slip durability events statistically shown in Figure 2; Figure 5 The embodiment of the present invention provides Figure 2 A flow chart of implementing step S302; Figure 6 A schematic diagram of a normalization process for a large slip durability event provided by an embodiment of the present invention; Figure 7 A schematic diagram of normalization processing of micro-slip durability events provided by an embodiment of the present invention; Figure 8 A schematic diagram of a dual clutch durability load spectrum generated according to an embodiment of the present invention; Figure 9 A schematic structural diagram of a clutch durability load spectrum generating device provided by an embodiment of the present invention; Figure 10 A schematic structural diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0020] An embodiment of the present invention provides a method for generating a clutch durability load spectrum, which can solve the technical problem that the existing technology relies on experience to generate a clutch durability load spectrum, which is difficult to match the usage scenarios and vehicle parameters of the end users of the vehicle, resulting in insufficient credibility of the results of the clutch durability reliability test.

[0021] See also Figure 1 As shown, an embodiment of the present invention provides a method for generating a clutch durability load spectrum, comprising the following steps: Step S10: establishing a vehicle model including a dual-clutch transmission model, and setting vehicle model parameters.

[0022] Specifically, a whole vehicle model is constructed based on the Matlab GUI environment. In addition to the dual-clutch transmission model, the whole vehicle model also includes a driver model, a dual-clutch transmission shift control model, a driving mode selection model, an engine model, a body and tire model, etc.

[0023] The driver model includes target speed and current speed inputs. Based on the driver's desired speed and actual speed, the accelerator or brake pedal is controlled. Specifically, a PI controller can quickly calculate the driver's pedal request: the driver's desired speed serves as the PI controller input, and the actual speed serves as the system feedback. After PI adjustment, it outputs a percentage between -1 and 1. When the desired speed is greater than the actual speed, the PI controller outputs a value between 0 and 1, representing the accelerator pedal position request. When the desired speed is less than the actual speed, the PI controller outputs a value between -1 and 0, representing the brake pedal position request.

[0024] The driving mode selection model includes: economic mode, standard mode and sports mode, and the intensity of driving is determined by the opening slope of the accelerator and brake pedals.

[0025] The dual-clutch transmission model includes a transmission model and a dual-clutch model, and the dual-clutch model includes an inner clutch and an outer clutch.

[0026] The core of the dual-clutch transmission shift control model is the oil pressure control of the two clutches. The specific shift process can be implemented based on the dual-clutch transmission shift logic of Matlab's Stateflow module.

[0027] The engine model is based on the establishment of throttle opening / engine speed and engine torque MAP, and the engine output torque at different throttle openings and different engine speeds is obtained through a table lookup method.

[0028] Before performing dynamic simulation on the whole vehicle model, develop the corresponding vehicle model according to the dual-clutch transmission and the whole vehicle project, and use the preset pull-down menu to select the corresponding files, such as body file, transmission file, engine file, dual-clutch file, driver file, dual-clutch transmission shift control file, etc. Different files correspond to the parameters of different specific small models of the whole vehicle model. The specific parameters of the body file include: fully loaded mass, unloaded mass, wheelbase, drive mode, front and rear axle load distribution, center of mass height, tire radius, tire rolling friction coefficient, tire sliding friction coefficient, tire moment of inertia, and frontal area; the specific parameters defined in the transmission file include: gear ratios of each gear, moment of inertia of each gear, transmission efficiency of each gear, and differential final reduction ratio; the specific parameters defined in the engine file include: engine external characteristic curve corresponding to different throttle opening conditions, engine peak torque, engine rated torque, engine maximum speed, engine efficiency curve, engine moment of inertia, and engine start-stop strategy parameters; the specific parameters defined in the dual-clutch file include: clutch effective torque radius, number of clutch friction plates, clutch engagement piston area, clutch static friction coefficient, clutch dynamic friction coefficient, clutch speed tolerance, and clutch engagement pressure threshold; the specific parameters defined in the driver file include: accelerator pedal response speed, brake pedal response speed, and the parameters defined in the dual-clutch transmission shift control file include: throttle opening-vehicle speed curve corresponding to upshifting and downshifting in different gears.

[0029] Step S20: obtaining the vehicle operating parameters, and performing dynamic simulation on the vehicle model according to the vehicle operating parameters.

[0030] Specifically, the vehicle operating condition parameters include mountain operating condition parameters, urban operating condition parameters, high-speed operating condition parameters, suburban operating condition parameters and extreme climbing operating condition parameters.

[0031] Among them, mountain operating condition parameters include three typical mountain operating conditions: gentle mountain operating conditions, continuous curve mountain operating conditions, and long uphill mountain operating conditions. Urban operating condition parameters include four typical urban operating conditions: start-stop operating conditions, congested operating conditions, low-speed urban operating conditions, and medium-to-high-speed urban operating conditions. High-speed operating condition parameters include three typical high-speed operating conditions: uniform high-speed operating conditions, high-speed overtaking operating conditions, and high-speed rapid acceleration and deceleration operating conditions. Suburban operating condition parameters include three typical suburban operating conditions: low-speed suburban operating conditions, medium-speed suburban operating conditions, and high-speed suburban operating conditions. Extreme climbing operating condition parameters include two typical climbing conditions: maximum climbing conditions and 30% long-distance slope conditions. Each vehicle operating condition parameter also includes a vehicle speed-time curve and a road slope-curvature-mileage curve. The two curves define the required vehicle speed and road slope for each operating condition, and the impact of turning curvature on the vehicle.

[0032] Step S30 , counting the dual-clutch durability events of the dual-clutch transmission model during the dynamic simulation of the vehicle model.

[0033] Specifically, see Figure 2 As shown, the dual-clutch durability events of the dual-clutch transmission model during the dynamic simulation of the statistical vehicle model include: Step S301, counting large slip durability events of the dual clutch transmission model during the starting and shifting processes; Step S302 , counting micro-slip durability events of the dual-clutch transmission model during operation in a fixed gear.

[0034] Step S40 : generating a dual clutch durable load spectrum of the dual clutch transmission according to the statistical dual clutch durable events of the dual clutch transmission model; wherein the clutch durable load spectrum includes an outer clutch durable load spectrum and an inner clutch durable load spectrum.

[0035] Specifically, the generated dual-clutch durability load spectrum can be used for damage comparison, life assessment, and clutch durability bench testing. For example, the generated dual-clutch durability load spectrum (outer clutch and inner clutch) is fed into the dual-clutch transmission controller and the three-motor test bench through corresponding variable control. The test is then performed sequentially based on the speed, torque, slip time, oil flow, and number of repetitions corresponding to the dual-clutch durability load spectrum. Sensors and counting software monitor the durability process and display its progress. Alarm protection is set for relevant temperature, speed, and torque signals. The dual-clutch durability test is terminated when the target number of cycles is reached. Bench durability testing can quickly complete a vehicle durability assessment corresponding to ten years / 300,000 kilometers, and can also verify the life and damage level of the inner and outer clutches.

[0036] The clutch durability load spectrum generation method in an embodiment of the present invention first establishes a vehicle model including a dual-clutch transmission model and sets vehicle model parameters. Then, the vehicle operating parameters are obtained, a dynamic simulation is performed on the vehicle model based on the vehicle operating parameters, and then statistics are compiled on the dual-clutch durability events of the dual-clutch transmission model during the dynamic simulation of the vehicle model. Finally, a dual-clutch durability load spectrum for the dual-clutch transmission is generated based on the statistics of the dual-clutch durability events of the dual-clutch transmission model. This method effectively converts vehicle parameters and end-customer operating conditions into a dual-clutch durability load spectrum for the dual-clutch transmission, effectively linking the clutch durability design with the end customer. Ultimately, this method results in highly reliable clutch durability reliability testing, avoids over-design and insufficient safety factors for the dual-clutch transmission clutch, and effectively improves test design and development efficiency while significantly reducing testing costs, shortening project development cycles.

[0037] As an optional implementation, in one embodiment of the invention, see Figure 3 As shown, the large slip durability events of the statistical dual-clutch transmission model during the starting and shifting process include: Step S3011, setting the event type number of a single large slip durability event; Step S3012: Starting with the requested gear shift signal as the starting time and ending with the moment when the clutch speed synchronizes with the engine speed as the ending time, the vehicle speed, engine starting torque, starting speed, clutch pressure, clutch slip pressure, inner clutch speed, outer clutch speed, transmission real-time gear position, and the gear position after the shift are recorded during this period. Step S3013, calculating the maximum sliding power, maximum sliding power per unit area, sliding work, and sliding work per unit area of ​​a single large slip durability event; Step S3014: The recorded and calculated data are stored correspondingly according to the set event type number of the single large slip durability event.

[0038] See also Figure 4 For example, during a start, the outer clutch speed increases from 0 until it synchronizes with the engine speed. This type of event is numbered K1-1, with events beginning with K1 indicating the outer clutch is gradually pressurized from a disengaged state to an engaged state. For example, during a shift from first gear to second gear, the inner clutch speed gradually increases from 1340 rpm until it synchronizes with the engine speed. This type of event is numbered K2-2, with events beginning with K2 indicating the inner clutch is gradually pressurized from a disengaged state to an engaged state.

[0039] As an optional implementation, in one embodiment of the invention, see Figure 5 As shown, the micro-slip durability events of the statistical dual-clutch transmission model during fixed gear operation include: Step S3021, setting the event type number of a single micro-slip durability event; Step S3022, recording the clutch slip time, engine starting speed, clutch starting speed, and clutch torque; Step S3023, calculating the maximum sliding power, maximum sliding power per unit area, sliding work, and sliding work per unit area of ​​a single micro-sliding endurance event; Step S3024: The recorded and calculated data are stored in correspondence with the set event type number of the single micro-slip durability event.

[0040] During fixed-gear driving, during brief, rapid acceleration or deceleration, even though the dual-clutch transmission is in a fixed gear, a micro-slip event with a speed difference of less than 50 rpm between the engine and clutch may occur for a short period of time. Similar to the high-slip endurance event, this event is statistically analyzed accordingly.

[0041] As an optional implementation manner, in one embodiment of the invention, generating a dual clutch durability load spectrum of the dual clutch transmission based on the dual clutch durability events of the statistical dual clutch transmission model includes: The large slip durability events and micro slip durability events are normalized to generate the dual clutch durability load spectrum of the dual clutch transmission.

[0042] Since the majority of vehicle driving conditions occur in fixed gears, with one clutch engaged and the other disengaged, fixed-gear operation is less damaging to the clutch. Clutch damage primarily occurs during starting and shifting events. Subsequent bench testing requires a thorough and reasonable assessment of the clutch in the shortest possible time. Therefore, normalizing large-slip and micro-slip durability events can improve the efficiency of subsequent bench testing.

[0043] Furthermore, the normalization process of the large slip durability event and the micro slip durability event to generate the dual clutch durability load spectrum of the dual clutch transmission includes: Based on the clutch thermal damage equivalence principle, large slip durability events and micro slip durability events are normalized.

[0044] Specifically, see Figure 6 As shown, the normalized treatment for large slip durability events is: The first step is to sum up the total sliding friction work of different statistical results of large slip durability events with the same event type number. Figure 6 As shown, the total sliding friction work of different statistical results of the K1-1 event with the same event type number is summed.

[0045] In the second step, for the single large slip durability event with the most distributed parameter items, the normalization processing of the event is completed by converting the corresponding number of repetitions according to the total sliding friction work / sliding friction work of the single large slip durability event.

[0046] For example, if the parameter item of an event in the same event type appears the most times, this event is used to represent the typical event of this event type. Then the total friction work is divided by the friction work of the most typical event to obtain the corresponding number of repetitions, thus completing the normalization processing of the same event.

[0047] for example Figure 6 They all contain K1-1 event types, but the specific parameters are different. The first row of parameter items appears the most times, so this is taken as the typical event, and other events are converted into the number of cycles of the first row of events.

[0048] In the third step, the first and second steps are repeated for different types of large slip durability events, and the normalization processing of all large slip durability events is completed in sequence.

[0049] See also Figure 7 As shown in Figure 2, the normalized treatment of micro-slip durability events is: The first step is to sum the total friction work of the micro-slip endurance event. Figure 7 As shown, the total sliding friction work of the micro-synovial durability events with different parameter results is summed.

[0050] The second step is to normalize the single micro-slip event with the most distributed parameter items by converting the total sliding work to the sliding work of the single micro-slip event and calculating the corresponding number of repetitions. Figure 6 Similar, no further details.

[0051] pass Figure 6 and Figure 7 For processing, see Figure 8 As shown, based on the above normalization processing, the large slip durability events and micro slip durability events are converted into durability load spectra for the outer clutch and the inner clutch respectively, which can be used for damage comparison, life assessment and clutch durability bench test.

[0052] See also Figure 9 As shown, an embodiment of the present invention further provides a clutch durability load spectrum generating device, comprising: a modeling unit, a simulation unit, a statistical unit and a generating unit.

[0053] The modeling unit is used to establish a vehicle model including a dual-clutch transmission model and set vehicle model parameters; The simulation unit is used to obtain vehicle operating parameters and simulate the vehicle model according to the vehicle operating parameters; The statistical unit is used to count the dual-clutch durability events of the dual-clutch transmission model during the dynamic simulation of the vehicle model; The generating unit is used to generate a dual clutch durable load spectrum of the dual clutch transmission according to the statistical dual clutch durability events of the dual clutch transmission model; wherein the dual clutch durable load spectrum includes an outer clutch durable load spectrum and an inner clutch durable load spectrum.

[0054] An embodiment of the present invention also provides a computer device, comprising: a memory, a processor, and a network interface connected via a system bus, wherein at least one instruction is stored in the memory, and the at least one instruction is loaded and executed by the processor to implement all or part of the steps of the aforementioned clutch durability load spectrum generation method.

[0055] Among them, the network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 10 The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present invention and does not constitute a limitation on the computer device to which the solution of the present invention is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0056] The processor can be a CPU, other general-purpose processors, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), an off-the-shelf programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. A general-purpose processor can be a microprocessor, or any conventional processor. The processor is the control center of a computer device, connecting all parts of the entire computer device using various interfaces and lines.

[0057] The memory can be used to store computer programs and / or modules. The processor implements various functions of the computer device by running or executing the computer programs and / or modules stored in the memory and accessing the data stored in the memory. The memory may primarily include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function (such as video playback or image playback); the data storage area may store data generated based on the use of the mobile phone (such as video data or image data). Furthermore, the memory may include high-speed random access memory (RAM) and non-volatile memory, such as a hard disk, internal memory, a plug-in hard disk, a SmartMedia Card (SMC), a Secure Digital (SD) card, a flash memory card, at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0058] In one embodiment of the invention, the processor is configured to execute a computer program stored in the memory to implement the following steps: Step S10, establishing a vehicle model including a dual-clutch transmission model, and setting vehicle model parameters; Step S20, obtaining vehicle operating parameters, and performing dynamic simulation on the vehicle model according to the vehicle operating parameters; Step S30, counting the dual-clutch durability events of the dual-clutch transmission model during the dynamic simulation of the vehicle model; Step S40 : generating a dual clutch durable load spectrum of the dual clutch transmission according to the statistical dual clutch durable events of the dual clutch transmission model; wherein the dual clutch durable load spectrum includes an outer clutch durable load spectrum and an inner clutch durable load spectrum.

[0059] As an optional implementation manner, in one embodiment of the invention, the statistical analysis of the dual-clutch durability events of the dual-clutch transmission model during the dynamic simulation of the vehicle model includes: Step S301, counting large slip durability events of the dual clutch transmission model during the starting and shifting processes; Step S302 , counting micro-slip durability events of the dual-clutch transmission model during operation in a fixed gear.

[0060] As an optional implementation, in one embodiment of the invention, the large slip durability event of the statistical dual-clutch transmission model during the starting and shifting process includes: Step S3011, setting the event type number of a single large slip durability event; Step S3012: Starting with the requested gear shift signal as the starting time and ending with the moment when the clutch speed synchronizes with the engine speed as the ending time, the vehicle speed, engine starting torque, starting speed, clutch pressure, clutch slip pressure, inner clutch speed, outer clutch speed, transmission real-time gear position, and the gear position after the shift are recorded during this period. Step S3013, calculating the maximum sliding power, maximum sliding power per unit area, sliding work, and sliding work per unit area of ​​a single large slip durability event; Step S3014: The recorded and calculated data are stored correspondingly according to the set event type number of the single large slip durability event.

[0061] As an optional implementation, in one embodiment of the invention, the statistical micro-slip durability events of the dual-clutch transmission model during fixed gear operation include: Step S3021, setting the event type number of a single micro-slip durability event; Step S3022, recording the clutch slip time, engine starting speed, clutch starting speed, and clutch torque; Step S3023, calculating the maximum sliding power, maximum sliding power per unit area, sliding work, and sliding work per unit area of ​​a single micro-sliding endurance event; Step S3024: The recorded and calculated data are stored in correspondence with the set event type number of the single micro-slip durability event.

[0062] As an optional implementation manner, in one embodiment of the invention, generating a dual clutch durability load spectrum of the dual clutch transmission based on the dual clutch durability events of the statistical dual clutch transmission model includes: The large slip durability events and micro slip durability events are normalized to generate the dual clutch durability load spectrum of the dual clutch transmission.

[0063] As an optional implementation manner, in one embodiment of the invention, the normalization processing of the large slip durability event and the micro slip durability event to generate the dual clutch durability load spectrum of the dual clutch transmission includes: Based on the clutch thermal damage equivalence principle, large slip durability events and micro slip durability events are normalized.

[0064] As an optional implementation manner, in an embodiment of the invention, the vehicle operating condition parameters include mountain operating condition parameters, urban operating condition parameters, high-speed operating condition parameters, suburban operating condition parameters and extreme climbing operating condition parameters. The embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, all or part of the steps of the aforementioned clutch durability load spectrum generation method are implemented.

[0065] The embodiments of the present invention may implement all or part of the aforementioned processes by instructing related hardware through a computer program. The computer program may be stored in a computer-readable storage medium. When executed by a processor, the computer program may implement the steps of each of the aforementioned methods. The computer program includes computer program code, which may be in source code form, object code form, an executable file, or some intermediate form. Computer-readable media may include any entity or device capable of carrying computer program code, recording media, USB flash drives, removable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signals, telecommunications signals, and software distribution media. It should be noted that the content of computer-readable media may be appropriately expanded or reduced based on the requirements of legislation and patent practice within a jurisdiction. For example, in some jurisdictions, legislation and patent practice do not require computer-readable media to include electric carrier signals or telecommunications signals.

[0066] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, servers, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage and optical storage) containing computer-usable program code.

[0067] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0068] The serial numbers in the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0069] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0070] The foregoing description is intended only to provide specific embodiments of the present invention, which will enable those skilled in the art to understand and implement the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not intended to be limited to the embodiments shown herein, but is to be construed in the widest possible manner consistent with the principles and novel features disclosed herein.

Claims

1. A clutch durability load spectrum generation method, characterized in that: The following steps are involved: Establish a vehicle model including a dual-clutch transmission model and set the vehicle model parameters; Obtain vehicle operating parameters and perform dynamic simulation on the vehicle model based on the vehicle operating parameters; Statistical analysis of dual-clutch durability events of the dual-clutch transmission model during dynamic simulation of the vehicle model; A dual-clutch durable load spectrum of the dual-clutch transmission is generated according to the statistical dual-clutch durable events of the dual-clutch transmission model; wherein the dual-clutch durable load spectrum includes an outer clutch durable load spectrum and an inner clutch durable load spectrum.

2. The clutch durability load spectrum generation method according to claim 1, characterized in that: The dual-clutch durability events of the dual-clutch transmission model during the dynamic simulation of the statistical vehicle model include: Statistical analysis of large slip durability events in the dual-clutch transmission model during starting and shifting; Statistics of micro-slip durability events of the dual-clutch transmission model during fixed gear operation.

3. The clutch durability load spectrum generation method according to claim 2, characterized in that: The large slip durability events of the statistical dual-clutch transmission model during the starting and shifting process include: Set the event type number of a single large slip durability event; The starting time is the shift signal of the required gear, and the end time is the moment when the clutch speed is synchronized with the engine speed. The vehicle speed, engine starting torque, starting speed, clutch pressure, clutch slip pressure, inner clutch speed, outer clutch speed, transmission real-time gear position, and gear position after the shift are recorded during this period. Calculate the maximum sliding power, maximum sliding power per unit area, sliding work, and sliding work per unit area for a single large slip endurance event; The recorded and calculated data are stored correspondingly according to the event type number of the set single large slip durability event.

4. The clutch durability load spectrum generation method according to claim 2, characterized in that: The micro-slip durability events of the statistical dual-clutch transmission model during fixed gear operation include: Set the event type number of a single micro-slip durability event; Record the clutch slip time, engine starting speed, clutch starting speed, and clutch torque; Calculate the maximum sliding power, maximum sliding power per unit area, sliding work and sliding work per unit area of ​​a single micro-sliding endurance event; The recorded and calculated data are stored in correspondence with the event type number of the set single micro-slip durability event.

5. The clutch durability load spectrum generation method according to claim 4, characterized in that: Generating a dual clutch durability load spectrum of the dual clutch transmission according to the statistical dual clutch durability events of the dual clutch transmission model includes: The large slip durability events and micro slip durability events are normalized to generate the dual clutch durability load spectrum of the dual clutch transmission.

6. The clutch durability load spectrum generation method according to claim 5, characterized in that: The normalization process of the large slip durability event and the micro slip durability event to generate the dual clutch durability load spectrum of the dual clutch transmission includes: Based on the clutch thermal damage equivalence principle, large slip durability events and micro slip durability events are normalized.

7. The clutch durability load spectrum generation method according to claim 1, characterized in that: The vehicle operating condition parameters include mountain operating condition parameters, urban operating condition parameters, high-speed operating condition parameters, suburban operating condition parameters and extreme climbing operating condition parameters.

8. A clutch durability load spectrum generating device, characterized in that: include: A modeling unit, used to establish a vehicle model including a dual-clutch transmission model and set vehicle model parameters; A simulation unit is used to obtain vehicle operating parameters and simulate the vehicle model according to the vehicle operating parameters; A statistical unit is used to count the dual-clutch durability events of the dual-clutch transmission model during the dynamic simulation of the vehicle model; A generating unit is used to generate a dual clutch durability load spectrum of the dual clutch transmission according to the statistical dual clutch durability events of the dual clutch transmission model; wherein the dual clutch durability load spectrum includes an outer clutch durability load spectrum and an inner clutch durability load spectrum.

9. A computer device, characterized in that: include: A memory and a processor, wherein the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the clutch durability load spectrum generation method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and when the computer instructions are executed by a computer, the computer is caused to execute the clutch durability load spectrum generating method according to any one of claims 1 to 7.

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