CN113586622A - Self-learning method, device and equipment for clutch transmission torque and readable storage medium - Google Patents
Self-learning method, device and equipment for clutch transmission torque and readable storage medium Download PDFInfo
- Publication number
- CN113586622A CN113586622A CN202110871842.4A CN202110871842A CN113586622A CN 113586622 A CN113586622 A CN 113586622A CN 202110871842 A CN202110871842 A CN 202110871842A CN 113586622 A CN113586622 A CN 113586622A
- Authority
- CN
- China
- Prior art keywords
- torque
- displacement
- clutch
- self
- engine
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16D—COUPLINGS FOR TRANSMITTING ROTATION; CLUTCHES; BRAKES
- F16D48/00—External control of clutches
- F16D48/06—Control by electric or electronic means, e.g. of fluid pressure
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16H—GEARING
- F16H61/00—Control functions within control units of change-speed- or reversing-gearings for conveying rotary motion ; Control of exclusively fluid gearing, friction gearing, gearings with endless flexible members or other particular types of gearing
- F16H61/04—Smoothing ratio shift
Abstract
The application relates to a self-learning method, a device, equipment and a readable storage medium for clutch transmission torque, which comprises the steps of respectively obtaining a first displacement and a first transmission torque of a clutch contact point, and a second displacement and a second transmission torque of a complete joint point; when the working condition of the vehicle in the starting process meets the preset self-learning condition, controlling the clutch to be combined slowly, and recording the third displacement of the clutch and calculating the third transmission torque when the torque and the rotating speed are respectively greater than the corresponding threshold values and the torque change rate and the rotating speed change rate are respectively located in the corresponding change rate ranges; and when the percentage of the difference between the calibrated transmission torque and the third transmission torque is larger than the threshold value, updating the calibrated transmission torque curve based on the first displacement, the first transmission torque, the second displacement, the second transmission torque, the third displacement and the third transmission torque, and completing transmission torque self-learning. The method and the device can automatically finish the learning of the transmission torque and the updating of the transmission torque curve in the vehicle starting process, and improve the driving comfort.
Description
Technical Field
The application relates to the technical field of automobiles, in particular to a clutch transmission torque self-learning method, device and equipment and a readable storage medium.
Background
Nowadays, the economy is rapidly developed, and the automobile manufacturing technology is continuously reformed and innovated, the number of automobiles is continuously increased, and the automobiles become an indispensable vehicle in the work and life of people; meanwhile, with the continuous improvement of living standard, people also pursue the comfort in the driving process of the automobile. The clutch is used as a key part for ensuring the stable running of an automobile in an automobile transmission system, generally comprises a friction plate, a spring plate, a pressure plate and a power output shaft, is arranged between an engine and a gearbox and is used for transmitting torque stored on a flywheel of the engine to the gearbox and ensuring that a vehicle transmits proper driving force and torque to a driving wheel under different running conditions. Therefore, in order to ensure smooth vehicle start, an AMT (automated Mechanical Transmission) Transmission needs to adjust the Transmission torque of the clutch according to the Transmission torque curve of the clutch when the vehicle starts.
Specifically, the AMT generally controls the transmission torque of the clutch by controlling the displacement of the clutch, thereby ensuring smooth start of the vehicle; for example, if the AMT needs a certain specified torque (for example, 500Nm) during starting, the AMT may find the displacement corresponding to 500Nm according to the previously calibrated torque transmission curve, and then control the actuator of the clutch to make the displacement of the clutch reach the displacement, thereby implementing torque adjustment.
However, with the long-term use of the clutch, the torque transmission capacity of the clutch is easily attenuated due to various factors such as high temperature, abrasion and durability, so that the torque characteristic is changed along with the attenuation, and the torque transmission curve of the clutch is also attenuated; if the AMT adjusts the torque according to the original calibrated torque transmission curve (the torque transmission curve is calibrated based on the situation that the clutch has the undamped torque transmission capability), the adjusted torque cannot reach the expected torque value, so that the problems of obvious vehicle starting impact, jerk, slow response and the like occur, and the driving comfort is further influenced. Therefore, how to self-learn the transmission torque of the clutch to update the transmission torque curve is an urgent problem to be solved.
Disclosure of Invention
The application provides a clutch transmission torque self-learning method, a device, equipment and a readable storage medium, which are used for solving the problem of poor driving comfort caused by attenuation of a transmission torque curve in the related art.
In a first aspect, a self-learning method for clutch transmission torque is provided, which comprises the following steps:
acquiring a first displacement of a clutch contact point and a first transmission torque corresponding to the first displacement;
acquiring a second displacement of a complete clutch joint point and a second transmission torque corresponding to the second displacement;
when the working condition of the vehicle in the starting process meets the preset self-learning condition, controlling the clutch to be slowly combined, and calculating the torque of the engine, the change rate of the torque of the engine, the rotating speed of the engine and the change rate of the rotating speed of the engine;
when the engine torque is larger than a torque threshold value and the engine torque change rate is within a preset torque change rate range, the engine rotating speed is larger than a rotating speed threshold value and the engine rotating speed change rate is within a preset rotating speed change rate range, recording third displacement of the clutch, and calculating third transmission torque corresponding to the third displacement;
obtaining a calibrated transmission torque corresponding to the third displacement on the calibrated transmission torsion line;
updating the calibrated torque transfer curve based on the first displacement, the first transfer torque, the second displacement, the second transfer torque, the third displacement, and the third transfer torque when a percentage of a difference between the calibrated transfer torque and the third transfer torque is greater than a threshold value, completing transfer torque self-learning.
In some embodiments, the self-learning condition is that the transmission is engaged in forward gear, the hand brake signal is not activated, the supply voltage meets a preset voltage requirement, and the actuator inlet air pressure of the clutch is greater than a preset air pressure.
In some embodiments, before the step of recording a third displacement of the clutch and calculating a third transfer torque corresponding to the third displacement, the method further comprises:
recording a first duration in which the engine torque rate of change is within the torque rate of change range and a second duration in which the engine speed rate of change is within the speed rate of change range, respectively;
and when the first duration and the second duration are both within a preset duration range, executing the step of recording a third displacement of the clutch and calculating a third transmission torque corresponding to the third displacement.
In some embodiments, the time period ranges from greater than 0.2 seconds to less than 0.5 seconds.
In some embodiments, the rate of change of speed ranges from greater than-10 rpm/s to less than 10rpm/s and the rate of change of torque ranges from greater than-30 Nm/s to less than 30 Nm/s.
In some embodiments, the third transfer torque is between 200Nm and 600 Nm.
In some embodiments, the rotational speed threshold is 200rpm and the torque threshold is 200 Nm.
In a second aspect, a clutch transfer torque self-learning apparatus is provided, comprising:
the first acquisition unit is used for acquiring a first displacement of the contact point of the clutch and a first transmission torque corresponding to the first displacement;
the second acquisition unit is used for acquiring a second displacement of the complete clutch joint point and a second transmission torque corresponding to the second displacement;
the torque learning unit is used for controlling the clutch to be slowly combined when the working condition of the vehicle in the starting process meets a preset self-learning condition, and calculating the torque of the engine, the change rate of the torque of the engine, the rotating speed of the engine and the change rate of the rotating speed of the engine; when the engine torque is larger than a torque threshold value and the engine torque change rate is within a preset torque change rate range, the engine rotating speed is larger than a rotating speed threshold value and the engine rotating speed change rate is within a preset rotating speed change rate range, recording third displacement of the clutch, and calculating third transmission torque corresponding to the third displacement;
the third acquisition unit is used for acquiring a calibrated transmission torque corresponding to a third displacement on the calibrated transmission torsion line;
a curve updating unit for updating the calibrated torque transfer curve based on the first displacement, the first transfer torque, the second displacement, the second transfer torque, the third displacement and the third transfer torque when a percentage of a difference between the calibrated transfer torque and the third transfer torque is greater than a threshold value, completing transfer torque self-learning.
In a third aspect, a clutch transfer torque self-learning apparatus is provided, comprising: the self-learning method comprises a memory and a processor, wherein at least one instruction is stored in the memory, and is loaded and executed by the processor to realize the self-learning method for the clutch transmission torque.
In a fourth aspect, a computer-readable storage medium is provided that stores computer instructions that, when executed by a computer, cause the computer to perform the foregoing clutch transfer torque self-learning method.
The beneficial effect that technical scheme that this application provided brought includes: the learning of the transmission torque and the updating of the transmission torque curve in the starting stage can be automatically completed in the starting process of the vehicle, the problems of obvious vehicle starting impact, pause and frustration and slow response are avoided, and the comfort in the driving process is effectively improved.
The application provides a clutch transmission torque self-learning method, a device, equipment and a readable storage medium, comprising the following steps: acquiring a first displacement of a clutch contact point and a first transmission torque corresponding to the first displacement; acquiring a second displacement of a complete clutch joint point and a second transmission torque corresponding to the second displacement; when the working condition of the vehicle in the starting process meets the preset self-learning condition, controlling the clutch to be slowly combined, and calculating the torque of the engine, the change rate of the torque of the engine, the rotating speed of the engine and the change rate of the rotating speed of the engine; when the engine torque is larger than a torque threshold value and the engine torque change rate is within a preset torque change rate range, the engine rotating speed is larger than a rotating speed threshold value and the engine rotating speed change rate is within a preset rotating speed change rate range, recording third displacement of the clutch, and calculating third transmission torque corresponding to the third displacement; obtaining a calibrated transmission torque corresponding to the third displacement on the calibrated transmission torsion line; updating the calibrated torque transfer curve based on the first displacement, the first transfer torque, the second displacement, the second transfer torque, the third displacement, and the third transfer torque when a percentage of a difference between the calibrated transfer torque and the third transfer torque is greater than a threshold value, completing transfer torque self-learning. Through the application, the learning of the transmission torque in the starting stage and the updating of the transmission torque curve can be automatically completed in the vehicle starting process, and the updated transmission torque curve is adaptive to the actual working condition of the clutch, so that the adjustment of the transmission torque of the clutch is carried out based on the updated transmission torque curve, the problems of obvious vehicle starting impact, pause and contusion and slow response can be avoided, the participation of a driver is not needed, and the comfort in the driving process is effectively improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart illustrating a self-learning method for clutch torque transfer according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of a self-learning device for torque transmission of a clutch according to an embodiment of the present application;
FIG. 3 is a schematic structural diagram of a self-learning device for torque transmission of a clutch according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application provides a clutch transmission torque self-learning method, device and equipment and a readable storage medium, which can solve the problem of poor driving comfort caused by attenuation of a transmission torque curve in the related art.
FIG. 1 is a schematic flow chart of a self-learning method for clutch transmission torque according to an embodiment of the present application, including the following steps:
step S10: acquiring a first displacement of a clutch contact point and a first transmission torque corresponding to the first displacement;
step S20: acquiring a second displacement of a complete clutch joint point and a second transmission torque corresponding to the second displacement;
exemplarily, in the embodiment of the application, after the vehicle is started, the learning of the contact point and the full combination point of the clutch is performed once; taking contact point learning of the clutch as an example, the transmission is in a neutral gear state, after the clutch is completely disengaged, the clutch is controlled to start to be slowly combined at the speed of 1mm/S until the rotating speed of an input shaft combined to the transmission reaches 50rpm, the point is regarded as a contact point, then the displacement S1 of the contact point is collected through a sensing device, and the transmission torque T1 corresponding to the displacement S1 is calculated, wherein the calculation formula of the transmission torque is T1 which is engine output torque-accessory torque/engine friction torque, and the accessory torque comprises torque consumed by an engine and related accessories of the whole vehicle (for example, equipment such as an air conditioner, a fan, an air compressor, a steering engine and the like); therefore, in the present embodiment, it is sufficient to directly obtain the displacement S1 and the transmission torque T1 of the contact point, the displacement S2 and the transmission torque T2 of the full joint point, and the displacement S2 and the transmission torque T2 of the full joint point can be used as the origin in the coordinate system of the torque transmission curve.
Step S30: when the working condition of the vehicle in the starting process meets the preset self-learning condition, controlling the clutch to be slowly combined, and calculating the torque of the engine, the change rate of the torque of the engine, the rotating speed of the engine and the change rate of the rotating speed of the engine;
exemplarily, when the transmission torque learning is triggered, the inventor finds that the learning is generally started by setting interval mileage, namely when the traveled mileage of the vehicle reaches the set mileage, the self-learning of the transmission torque curve is started after the driver performs special operation, and the self-learning process requires that the vehicle is in a static state for a long time; however, since the operating conditions of the vehicle are different in different time ranges, the wear conditions of the clutch are completely different, so that the torque attenuation of the clutch is nonlinear attenuation, and if the torque attenuation is not timely self-learned and the torque transmission curve is updated, the obvious starting impact and jerk problems exist before the driving mileage of the vehicle does not reach the set mileage condition. Therefore, self-learning by means of fixed interval mileage is not reasonable and cannot completely adapt to the working condition of the actual vehicle. In addition, the self-learning mode of the interval mileage needs the cooperation of the driver, if the driver stops the vehicle for learning according to the requirement in time, the self-learning can not be completed, and the vehicle can continuously have the problems of pause and impact caused by inaccurate torque transmission curve.
In the embodiment of the application, the vehicle enters a standby mode of transmission torque self-learning in the starting stage after being started every time, when the working condition of the vehicle in the starting process meets the following preset self-learning condition, the transmission torque self-learning in the starting stage can be carried out without special operation of a driver, when the working condition of the vehicle in the starting process does not meet the following preset self-learning condition, whether the self-learning condition is met or not is judged after waiting for the next starting, namely the vehicle is regarded as a new cycle after being powered on and started every time, the opportunity is selected to carry out the self-learning once in the cycle, and if the self-learning is not carried out at proper time, the vehicle is delayed to the next starting cycle to carry out the self-learning. The self-learning conditions comprise that a transmission gear is in a forward gear, a hand brake signal is not activated, the power supply voltage meets the requirement of preset voltage, and the air inlet pressure of an actuator of a clutch is greater than the preset air pressure; specifically, the preset voltage requirement can be set to be 18V to 32V preferably, and the preset air pressure can be 6bar preferably, so that the actuator of the clutch can be ensured to be normally driven, and therefore, when the gearbox is in a forward gear, the hand brake signal is not activated, the power supply voltage is between 18V and 32V, and the air pressure of the inlet air of the actuator is greater than 6bar, self-learning of the transmission torque in the starting stage can be started. Then, the clutch is controlled to be slowly engaged by a TCU (Transmission Control Unit), and the engine torque and the rate of change in the engine torque, the engine speed and the rate of change in the engine speed are calculated.
Step S40: when the engine torque is larger than a torque threshold value and the engine torque change rate is within a preset torque change rate range, the engine rotating speed is larger than a rotating speed threshold value and the engine rotating speed change rate is within a preset rotating speed change rate range, recording third displacement of the clutch, and calculating third transmission torque corresponding to the third displacement;
exemplarily, in the embodiment of the application, the rotation speed threshold value is preferably 200rpm, the rotation speed change rate range is preferably more than-10 rpm/s and less than 10rpm/s, the torque threshold value is preferably 200Nm, and the torque change rate range is preferably more than-30 Nm/s and less than 30 Nm/s; the engine is at a steady state when the engine torque is greater than 200Nm, the rate of change of engine torque is between-30 and 30Nm/s, the engine speed is greater than 200rpm, and the rate of change of engine speed is between-10 and 10 rpm/s. It should be noted that, the specific value settings of the rotation speed threshold, the rotation speed change rate range, the torque threshold and the torque change rate range are only presented as examples, and may also be determined by a bench test or the like according to actual needs, and are not limited herein.
Exemplarily, in learning the transfer torque, the inventors have found that the transfer torque is generally calculated from the angular acceleration and the moment of inertia of the transmission input shaft; however, the moment of inertia is a calculated value, while the moment of inertia on the actual vehicle has a certain deviation with the calculated value, and the moment of inertia among different gearboxes is also inconsistent, and because the gearboxes are in a neutral state during learning, the moment of inertia is small, so that the learned transmission torque is also small; in addition, since the clutch is mainly used for starting and shifting, the actual torque demand for the two processes is relatively large. For example, when a vehicle is started under a heavy load, the starting torque is generally about 500Nm, so that the torque learned through the angular acceleration and the rotational inertia of the input shaft of the gearbox cannot meet the requirements of starting and gear shifting, and the transmission torque of the vehicle under the starting or running condition cannot be accurately updated.
In the embodiment of the application, the engine torque is larger than 200Nm, the engine torque change rate is between-30 and 30Nm/s, the engine rotating speed is larger than 200rpm, and the engine rotating speed change rate is between-10 and 10rpm/s, so that the engine can be ensured to be in a stable state, a convergence condition is provided, a self-learning point is set, repeated self-learning can be realized, the transmission torque T3 between 200Nm and 600Nm is learned, and the actual torque requirement of the clutch during starting can be met. Therefore, the transmission torque when the vehicle is in the starting condition can be accurately updated based on the transmission torque T3.
Further, in the embodiment of the present application, before the step of recording a third displacement of the clutch and calculating a third transmission torque corresponding to the third displacement, the method further includes the steps of: recording a first duration in which the engine torque rate of change is within the torque rate of change range and a second duration in which the engine speed rate of change is within the speed rate of change range, respectively; and when the first duration and the second duration are both within a preset duration range, executing the step of recording a third displacement of the clutch and calculating a third transmission torque corresponding to the third displacement. Wherein the time period range is greater than 0.2 seconds and less than 0.5 seconds.
Exemplarily, in the embodiment of the present application, a first duration in which the engine torque change rate is within the torque change rate range and a second duration in which the engine speed change rate is within the speed change rate range are recorded, when both the first duration and the second duration are within the time range of 0.2 second to 0.5 second, the engine is in a steady state, the output torque value from the engine is highly consistent with the torque value actually output by the engine to the clutch, and at this time, not only the learned transmission torque is relatively accurate, but also the self-learning duration can be effectively controlled to be sufficiently short, so that the current clutch displacement S3 is recorded, and the transmission torque T3 corresponding to the displacement S3 is calculated; the specific setting of the duration range is determined according to actual requirements, and is not limited herein.
According to the embodiment, the self-learning time is not more than 0.5s by controlling the stability of the torque and the rotating speed of the engine, the vehicle starting time is not influenced as far as possible, the clutch is not damaged, the driver cannot perceive the self-learning process in the starting process, and the driving comfort of the driver is improved.
Step S50: obtaining a calibrated transmission torque corresponding to the third displacement on the calibrated transmission torsion line;
step S60: updating the calibrated torque transfer curve based on the first displacement, the first transfer torque, the second displacement, the second transfer torque, the third displacement, and the third transfer torque when a percentage of a difference between the calibrated transfer torque and the third transfer torque is greater than a threshold value, completing transfer torque self-learning.
Exemplarily, in the embodiment of the present application, taking the displacement S3 as 4.5mm, the transmission torque T3 as 371Nm, and the threshold value of the difference percentage as 5% as an example, comparing 4.5mm with each displacement on the calibrated torque curve, finding the calibrated transmission torque corresponding to the same displacement as 4.5mm (if the calibrated transmission torque is 393 Nm); then, the calibrated transmission torque and the transmission torque T3 are subjected to difference processing to obtain a difference value, the difference value is divided by the calibrated transmission torque and multiplied by 100%, the percentage of the difference value between the calibrated transmission torque and the transmission torque T3 is about 5.8%, and since 5.8% is larger than 5%, the calibrated transmission torque curve is updated based on the displacement S1, the transmission torque T1, the displacement S2, the transmission torque T2, the displacement S3 and the transmission torque T3, and the self-learning of the transmission torque can be completed. In addition, after the self-learning is completed, the clutch is recombined in a slow-first and fast-second mode, and the normal running of the vehicle is not influenced.
The method and the device ensure that the engine outputs accurate and stable torque by strictly controlling the rotating speed and the rotating speed change rate of the engine and the torque change rate, thereby ensuring the accuracy of torque transmission learning; in addition, the self-learning is only carried out once after the clutch is started and the self-learning duration is short, so that in the starting process, only small sliding grinding work can be brought in the whole clutch self-learning process and is far less than the sliding grinding work of normal starting, and therefore the clutch cannot be damaged in the self-learning mode.
Through the application, the learning of the transmission torque in the starting stage and the updating of the transmission torque curve can be automatically completed in the vehicle starting process, and the updated transmission torque curve is adaptive to the actual working condition of the clutch, so that the adjustment of the transmission torque of the clutch is carried out based on the updated transmission torque curve, the problems of obvious vehicle starting impact, pause and contusion and slow response can be avoided, the participation of a driver is not needed, and the comfort in the driving process is effectively improved.
Referring to fig. 2, the embodiment of the application further provides a self-learning device for the transmission torque of the clutch, which comprises:
the first acquisition unit is used for acquiring a first displacement of the contact point of the clutch and a first transmission torque corresponding to the first displacement;
the second acquisition unit is used for acquiring a second displacement of the complete clutch joint point and a second transmission torque corresponding to the second displacement;
the torque learning unit is used for controlling the clutch to be slowly combined when the working condition of the vehicle in the starting process meets a preset self-learning condition, and calculating the torque of the engine, the change rate of the torque of the engine, the rotating speed of the engine and the change rate of the rotating speed of the engine; when the engine torque is larger than a torque threshold value and the engine torque change rate is within a preset torque change rate range, the engine rotating speed is larger than a rotating speed threshold value and the engine rotating speed change rate is within a preset rotating speed change rate range, recording third displacement of the clutch, and calculating third transmission torque corresponding to the third displacement;
the third acquisition unit is used for acquiring a calibrated transmission torque corresponding to a third displacement on the calibrated transmission torsion line;
a curve updating unit for updating the calibrated torque transfer curve based on the first displacement, the first transfer torque, the second displacement, the second transfer torque, the third displacement and the third transfer torque when a percentage of a difference between the calibrated transfer torque and the third transfer torque is greater than a threshold value, completing transfer torque self-learning.
Furthermore, in the embodiment of the present application, the self-learning conditions are that the transmission is engaged into a forward gear, the hand brake signal is not activated, the power supply voltage meets the preset voltage requirement, and the intake air pressure of the actuator of the clutch is greater than the preset air pressure.
Further, in the embodiment of the present application, the torque learning unit is further configured to: recording a first duration in which the engine torque rate of change is within the torque rate of change range and a second duration in which the engine speed rate of change is within the speed rate of change range, respectively; and when the first duration and the second duration are both within a preset duration range, recording a third displacement of the clutch, and calculating a third transmission torque corresponding to the third displacement.
Further, in the embodiment of the present application, the time period ranges from more than 0.2 seconds to less than 0.5 seconds.
Further, in the embodiment of the present application, the rotation speed change rate ranges are more than-10 rpm/s and less than 10rpm/s, and the torque change rate ranges are more than-30 Nm/s and less than 30 Nm/s.
Further, in the present embodiment, the third transmission torque is between 200Nm and 600 Nm.
Further, in the embodiment of the present application, the rotation speed threshold is 200rpm, and the torque threshold is 200 Nm.
It should be noted that, as will be clear to those skilled in the art, for convenience and brevity of description, the specific working processes of the above-described apparatus and units may refer to the corresponding processes in the foregoing embodiments of the clutch transmission torque self-learning method, and will not be described herein again.
The clutch transmission torque self-learning apparatus provided by the above-mentioned embodiment may be implemented in the form of a computer program that can be run on the clutch transmission torque self-learning device as shown in fig. 3.
The embodiment of the application also provides a clutch transmission torque self-learning device, which comprises: the self-learning method comprises a memory, a processor and a network interface which are connected through 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 so as to realize all or part of the steps of the self-learning method for the clutch transmission torque.
The network interface is used for performing network communication, such as sending distributed tasks. Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
The Processor may be a CPU, other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable Gate Array (FPGA) or other programmable logic device, discrete Gate or transistor logic device, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, the processor being the control center of the computer device and the various interfaces and lines connecting the various parts of the overall computer device.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the computer device by executing or executing the computer programs and/or modules stored in the memory, as well as by invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a video playing function, an image playing function, etc.), and the like; the storage data area may store data (such as video data, image data, etc.) created according to the use of the cellular phone, etc. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
Embodiments of the present application also provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements all or part of the steps of the self-learning method for clutch transmission torque.
The embodiments of the present application may implement all or part of the foregoing processes, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the foregoing methods. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer memory, Read-Only memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunication signals, software distribution medium, etc., capable of carrying computer program code. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, in accordance with legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunications signals.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, server, or computer program product. Accordingly, 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 embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers in the embodiments of the present application are for description only and do not represent the merits of the embodiments.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A self-learning method for clutch transmission torque is characterized by comprising the following steps:
acquiring a first displacement of a clutch contact point and a first transmission torque corresponding to the first displacement;
acquiring a second displacement of a complete clutch joint point and a second transmission torque corresponding to the second displacement;
when the working condition of the vehicle in the starting process meets the preset self-learning condition, controlling the clutch to be slowly combined, and calculating the torque of the engine, the change rate of the torque of the engine, the rotating speed of the engine and the change rate of the rotating speed of the engine;
when the engine torque is larger than a torque threshold value and the engine torque change rate is within a preset torque change rate range, the engine rotating speed is larger than a rotating speed threshold value and the engine rotating speed change rate is within a preset rotating speed change rate range, recording third displacement of the clutch, and calculating third transmission torque corresponding to the third displacement;
obtaining a calibrated transmission torque corresponding to the third displacement on the calibrated transmission torsion line;
updating the calibrated torque transfer curve based on the first displacement, the first transfer torque, the second displacement, the second transfer torque, the third displacement, and the third transfer torque when a percentage of a difference between the calibrated transfer torque and the third transfer torque is greater than a threshold value, completing transfer torque self-learning.
2. The clutch torque transfer self-learning method of claim 1, wherein: the self-learning conditions comprise that the gearbox is in a forward gear, a hand brake signal is not activated, the power supply voltage meets the requirement of preset voltage, and the air inlet pressure of an actuator of the clutch is greater than the preset air pressure.
3. The clutch torque transfer self-learning method of claim 1, further comprising, prior to the step of recording a third displacement of the clutch and calculating a third transfer torque corresponding to the third displacement:
recording a first duration in which the engine torque rate of change is within the torque rate of change range and a second duration in which the engine speed rate of change is within the speed rate of change range, respectively;
and when the first duration and the second duration are both within a preset duration range, executing the step of recording a third displacement of the clutch and calculating a third transmission torque corresponding to the third displacement.
4. The clutch torque transfer self-learning method of claim 3, wherein: the time period ranges from greater than 0.2 seconds to less than 0.5 seconds.
5. The clutch torque transfer self-learning method of claim 1, wherein: the rotating speed change rate range is more than-10 rpm/s and less than 10rpm/s, and the torque change rate range is more than-30 Nm/s and less than 30 Nm/s.
6. The clutch torque transfer self-learning method of claim 1, wherein: the third transmission torque is between 200Nm and 600 Nm.
7. The clutch torque transfer self-learning method of claim 1, wherein: the rotational speed threshold is 200rpm and the torque threshold is 200 Nm.
8. A clutch-transfer torque self-learning device, comprising:
the first acquisition unit is used for acquiring a first displacement of the contact point of the clutch and a first transmission torque corresponding to the first displacement;
the second acquisition unit is used for acquiring a second displacement of the complete clutch joint point and a second transmission torque corresponding to the second displacement;
the torque learning unit is used for controlling the clutch to be slowly combined when the working condition of the vehicle in the starting process meets a preset self-learning condition, and calculating the torque of the engine, the change rate of the torque of the engine, the rotating speed of the engine and the change rate of the rotating speed of the engine; when the engine torque is larger than a torque threshold value and the engine torque change rate is within a preset torque change rate range, the engine rotating speed is larger than a rotating speed threshold value and the engine rotating speed change rate is within a preset rotating speed change rate range, recording third displacement of the clutch, and calculating third transmission torque corresponding to the third displacement;
the third acquisition unit is used for acquiring a calibrated transmission torque corresponding to a third displacement on the calibrated transmission torsion line;
a curve updating unit for updating the calibrated torque transfer curve based on the first displacement, the first transfer torque, the second displacement, the second transfer torque, the third displacement and the third transfer torque when a percentage of a difference between the calibrated transfer torque and the third transfer torque is greater than a threshold value, completing transfer torque self-learning.
9. A clutch-to-torque self-learning apparatus, comprising: a memory and a processor, the memory having stored therein at least one instruction that is loaded and executed by the processor to implement the clutch transfer torque self-learning method of any of claims 1-7.
10. A computer-readable storage medium characterized by: the computer storage medium stores computer instructions that, when executed by a computer, cause the computer to perform the clutch transfer torque self-learning method of any of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110871842.4A CN113586622B (en) | 2021-07-30 | 2021-07-30 | Self-learning method, device and equipment for clutch transmission torque and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110871842.4A CN113586622B (en) | 2021-07-30 | 2021-07-30 | Self-learning method, device and equipment for clutch transmission torque and readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113586622A true CN113586622A (en) | 2021-11-02 |
| CN113586622B CN113586622B (en) | 2022-12-06 |
Family
ID=78252665
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110871842.4A Active CN113586622B (en) | 2021-07-30 | 2021-07-30 | Self-learning method, device and equipment for clutch transmission torque and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113586622B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114330492A (en) * | 2021-11-25 | 2022-04-12 | 东风商用车有限公司 | Self-learning method for occlusion point of static clutch |
| CN115126795A (en) * | 2022-07-06 | 2022-09-30 | 一汽解放汽车有限公司 | Method, device, equipment and medium for updating position torque characteristic data |
| CN115257752A (en) * | 2022-07-29 | 2022-11-01 | 重庆长安汽车股份有限公司 | Hybrid electric vehicle starting control method and system and vehicle |
| CN115257752B (en) * | 2022-07-29 | 2024-05-03 | 重庆长安汽车股份有限公司 | Hybrid electric vehicle starting control method and system and vehicle |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6033341A (en) * | 1997-09-12 | 2000-03-07 | Isuzu Motors Limited | Clutch connection/disconnection apparatus |
| EP1174302A1 (en) * | 2000-07-21 | 2002-01-23 | Renault | Motor driveline control method |
| US20070255472A1 (en) * | 2006-04-11 | 2007-11-01 | Toyota Jidosha Kabushiki Kaisha | Powertrain control apparatus and method |
| CN109987094A (en) * | 2017-12-29 | 2019-07-09 | 广州汽车集团股份有限公司 | Engine control, device and the computer readable storage medium of vehicle start |
| CN111692238A (en) * | 2019-03-11 | 2020-09-22 | 上海汽车变速器有限公司 | Self-adaptive optimization control method for torque transmission characteristics of clutch |
| CN112503115A (en) * | 2020-11-26 | 2021-03-16 | 安徽江淮汽车集团股份有限公司 | Double-clutch starting control method, device, equipment and storage medium |
| CN112943822A (en) * | 2021-03-31 | 2021-06-11 | 东风商用车有限公司 | Transmission torque self-learning method and device of AMT clutch |
-
2021
- 2021-07-30 CN CN202110871842.4A patent/CN113586622B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6033341A (en) * | 1997-09-12 | 2000-03-07 | Isuzu Motors Limited | Clutch connection/disconnection apparatus |
| EP1174302A1 (en) * | 2000-07-21 | 2002-01-23 | Renault | Motor driveline control method |
| US20070255472A1 (en) * | 2006-04-11 | 2007-11-01 | Toyota Jidosha Kabushiki Kaisha | Powertrain control apparatus and method |
| CN109987094A (en) * | 2017-12-29 | 2019-07-09 | 广州汽车集团股份有限公司 | Engine control, device and the computer readable storage medium of vehicle start |
| CN111692238A (en) * | 2019-03-11 | 2020-09-22 | 上海汽车变速器有限公司 | Self-adaptive optimization control method for torque transmission characteristics of clutch |
| CN112503115A (en) * | 2020-11-26 | 2021-03-16 | 安徽江淮汽车集团股份有限公司 | Double-clutch starting control method, device, equipment and storage medium |
| CN112943822A (en) * | 2021-03-31 | 2021-06-11 | 东风商用车有限公司 | Transmission torque self-learning method and device of AMT clutch |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114330492A (en) * | 2021-11-25 | 2022-04-12 | 东风商用车有限公司 | Self-learning method for occlusion point of static clutch |
| CN115126795A (en) * | 2022-07-06 | 2022-09-30 | 一汽解放汽车有限公司 | Method, device, equipment and medium for updating position torque characteristic data |
| CN115126795B (en) * | 2022-07-06 | 2023-05-23 | 一汽解放汽车有限公司 | Position torque characteristic data updating method, device, equipment and medium |
| CN115257752A (en) * | 2022-07-29 | 2022-11-01 | 重庆长安汽车股份有限公司 | Hybrid electric vehicle starting control method and system and vehicle |
| CN115257752B (en) * | 2022-07-29 | 2024-05-03 | 重庆长安汽车股份有限公司 | Hybrid electric vehicle starting control method and system and vehicle |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113586622B (en) | 2022-12-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113586623B (en) | Self-learning method, device and equipment for clutch transmission torque and readable storage medium | |
| CN113586622B (en) | Self-learning method, device and equipment for clutch transmission torque and readable storage medium | |
| US11084498B2 (en) | Apparatus and method for controlling driving mode of vehicle | |
| US11118675B2 (en) | Shift control method and device | |
| CN104806363A (en) | Accelerator response method and accelerator response device | |
| CN113650602B (en) | Gear shifting method and device, vehicle and storage medium | |
| EP2478260B1 (en) | Method for determination of gearshift points | |
| CN110645349B (en) | Double-clutch gear shifting control method, device and equipment for hybrid vehicle | |
| DE102012015872A1 (en) | Circuit, method and computer program for controlling a creep mode | |
| DE102017116810B4 (en) | PREDICTIVE SPEEDOMETER PROFILE GENERATION DURING GEAR SHIFTING | |
| CN109606349B (en) | Engine stop control method, device and system and vehicle control unit | |
| CN105752076B (en) | The dynamical system of the shift speed regulating method and hybrid vehicle of hybrid vehicle | |
| CN113586265B (en) | Engine speed regulation rate adjusting method and device and storage medium | |
| CN114215861B (en) | Intelligent clutch adjusting method, device, equipment and storage medium | |
| US20120150400A1 (en) | System for control of gearshift points | |
| US20210262411A1 (en) | Method to elevate idle speed to launch a vehicle with manual transmission | |
| DE102019117773A1 (en) | Hybrid vehicle | |
| DE102021118282A1 (en) | OIL PRESSURE LEARNING METHOD OF AN AUTOMATIC TRANSMISSION, CONTROL DEVICE AND CONTROL SYSTEM | |
| US10941723B2 (en) | Controller for controlling an engine of a vehicle | |
| CN113619585B (en) | Vehicle creep control method, device, storage medium and apparatus | |
| CN112172548B (en) | Control method for power system of vehicle, power system and vehicle | |
| CN115111358A (en) | Shift control method and device for hybrid vehicle, vehicle and storage medium | |
| CN113251138A (en) | Control method and terminal for vehicle accelerator clutch | |
| JP6900895B2 (en) | Vehicle control device | |
| CN113565952A (en) | Gear shifting force correction control method and system for AMT (automated mechanical transmission) gearbox of new energy automobile |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |