CN114962627B - Self-learning method and device for friction coefficient of clutch, transmission and storage medium - Google Patents
Self-learning method and device for friction coefficient of clutch, transmission and storage medium Download PDFInfo
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- CN114962627B CN114962627B CN202210601158.9A CN202210601158A CN114962627B CN 114962627 B CN114962627 B CN 114962627B CN 202210601158 A CN202210601158 A CN 202210601158A CN 114962627 B CN114962627 B CN 114962627B
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- 230000005540 biological transmission Effects 0.000 title claims abstract description 26
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- 230000009977 dual effect Effects 0.000 claims description 12
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- 230000001133 acceleration Effects 0.000 claims description 6
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- 238000004364 calculation method Methods 0.000 description 2
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Classifications
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- 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
- F16H61/02—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 characterised by the signals used
- F16H61/0202—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 characterised by the signals used the signals being electric
- F16H61/0204—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 characterised by the signals used the signals being electric for gearshift control, e.g. control functions for performing shifting or generation of shift signal
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- 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
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- 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
- F16D2500/00—External control of clutches by electric or electronic means
- F16D2500/10—System to be controlled
- F16D2500/104—Clutch
- F16D2500/10443—Clutch type
- F16D2500/1045—Friction clutch
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- 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
- F16D2500/00—External control of clutches by electric or electronic means
- F16D2500/10—System to be controlled
- F16D2500/11—Application
- F16D2500/1107—Vehicles
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- 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
- F16D2500/00—External control of clutches by electric or electronic means
- F16D2500/30—Signal inputs
- F16D2500/302—Signal inputs from the actuator
- F16D2500/3024—Pressure
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- 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
- F16D2500/00—External control of clutches by electric or electronic means
- F16D2500/30—Signal inputs
- F16D2500/306—Signal inputs from the engine
- F16D2500/3065—Torque of the engine
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- 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
- F16D2500/00—External control of clutches by electric or electronic means
- F16D2500/70—Details about the implementation of the control system
- F16D2500/706—Strategy of control
- F16D2500/70605—Adaptive correction; Modifying control system parameters, e.g. gains, constants, look-up tables
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- 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
- F16H2061/0075—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 characterised by a particular control method
- F16H2061/0087—Adaptive control, e.g. the control parameters adapted by learning
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- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Physics & Mathematics (AREA)
- Fluid Mechanics (AREA)
- Control Of Transmission Device (AREA)
Abstract
The embodiment of the invention discloses a self-learning method and device for friction coefficient of a clutch, a transmission and a storage medium. The method comprises the following steps: detecting whether a self-learning start condition is satisfied in response to a vehicle shift request; if the self-learning starting condition is met, gear shifting control is performed based on a self-learning control mode, and engine torque information and clutch pressure information within a preset self-learning duration are recorded; a target friction coefficient is determined based on the engine torque information and the clutch pressure information, and the original friction coefficient is updated based on the target friction coefficient. According to the technical scheme provided by the embodiment of the invention, the self-learning of the friction coefficient can be realized under the condition of large slip difference of vehicle gear shifting, so that the more accurate control of the clutch torque can be realized.
Description
Technical Field
The embodiment of the invention relates to vehicle technology, in particular to a self-learning method and device for friction coefficient of a clutch, a transmission and a storage medium.
Background
With the rapid development of vehicle technology, people are pursuing higher and higher driving comfort of vehicles. Vehicles using wet dual clutch transmissions mainly use clutches as torque transmitting members. The key to the control of the dual clutch transmission is to accurately control the torque of the clutch, so that the friction coefficient of the clutch needs to be accurately determined, and the more accurately the friction coefficient is determined, the more accurately the clutch torque control is.
The friction coefficient of the clutch is usually determined mainly by means of testing on a bench, the test result is used as the friction coefficient of a standard clutch to be applied to a vehicle, and the friction coefficient can be continuously self-learned and updated in the actual vehicle control process. However, the current self-learning method can only learn the friction coefficient of the clutch under the small slip differential, but cannot learn the friction coefficient of the clutch under the large slip differential. Thus, there is an urgent need for a self-learning method of friction coefficient under a large slip.
Disclosure of Invention
The embodiment of the invention provides a self-learning method and device for friction coefficient of a clutch, a transmission and a storage medium, so as to realize self-learning of the friction coefficient of the clutch under large slip.
According to an aspect of the present invention, there is provided a self-learning method of friction coefficient of a clutch, including:
detecting whether a self-learning start condition is satisfied in response to a vehicle shift request;
If the self-learning starting condition is met, gear shifting control is performed based on a self-learning control mode, and engine torque information and clutch pressure information within a preset self-learning duration are recorded;
And determining a target friction coefficient based on the engine torque information and the clutch pressure information, and updating an original friction coefficient based on the target friction coefficient.
According to another aspect of the present invention, there is provided a self-learning device for friction coefficient of a clutch, comprising:
the self-learning detection device is used for responding to a vehicle gear shifting request and detecting whether a self-learning starting condition is met;
The self-learning control device is used for performing gear shifting control based on a self-learning control mode and recording engine torque information and clutch pressure information in a preset self-learning time period if the self-learning starting condition is met;
And the friction coefficient updating device is used for determining a target friction coefficient based on the engine torque information and the clutch pressure information and updating the original friction coefficient based on the target friction coefficient.
According to another aspect of the present invention, there is provided a dual clutch transmission including: two sets of clutches and a controller;
The controller is used for realizing the self-learning method of the friction coefficient of the clutch according to any embodiment of the invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the self-learning method of friction coefficient of the clutch according to any embodiment of the present invention when executed.
According to the technical scheme, whether the self-learning starting condition is met is detected by responding to the vehicle gear shifting request; if the self-learning starting condition is met, gear shifting control is performed based on a self-learning control mode, and engine torque information and clutch pressure information within a preset self-learning duration are recorded; the target friction coefficient is determined based on the engine torque information and the clutch pressure information, and the original friction coefficient is updated based on the target friction coefficient, so that the self-learning of the friction coefficient can be realized under the condition that the sliding friction difference of vehicle gear shifting is large, and further, the more accurate control of the clutch torque can be realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a self-learning method for friction coefficient of a clutch according to an embodiment of the present invention;
FIG. 2 is a schematic illustration of clutch pressure and speed change for a power upshift according to one embodiment of the present invention;
FIG. 3 is a flow chart of a self-learning method for friction coefficient of a clutch according to a second embodiment of the present invention;
Fig. 4 is a schematic structural diagram of a self-learning device for friction coefficient of a clutch according to a third embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a dual clutch transmission according to a fourth embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a self-learning method for friction coefficient of a clutch according to an embodiment of the present invention, which is applicable to the situation of self-learning friction coefficient under such a large slip difference when a vehicle shifts gears. The large slip differential may refer to a situation that a rotational speed difference of a master-slave disc of the clutch is greater than a preset rotational speed difference, for example: the clutch master-slave disc speed difference is between 100 and 200 revolutions. The method may be performed by a clutch friction coefficient self-learning device, which may be implemented in hardware and/or software, which may be integrated into a controller in a dual clutch transmission. As shown in fig. 1, the method specifically includes the following steps:
S110, in response to a vehicle gear shifting request, whether a self-learning starting condition is met is detected.
The self-learning start condition may be preset to characterize a condition allowing self-learning of the friction coefficient.
In particular, large slip is often present during shift speeds of a vehicle having a dual clutch transmission. When a vehicle needs to be shifted, a vehicle shift request may be generated. The controller in the dual clutch transmission may detect whether the self-learning start condition is currently satisfied based on the current vehicle state information when the vehicle shift request is detected. If the self-learning starting condition is satisfied, the controller may start self-learning the friction coefficient; if the self-learning start condition is not satisfied, a next vehicle shift request may be waited for in order to perform a self-learning operation of the friction coefficient at the next vehicle shift.
Illustratively, the "self-learning start condition" in S110 may include: the vehicle shift request is a power upshift request or a power downshift request, the vehicle is not in a start phase, the vehicle shift request is a non-coaxial shift, the transmission oil temperature is within a preset oil temperature range, and the engine water temperature is within a preset water temperature range.
The non-coaxial gear shifting may be that a 1 gear slot, a 3 gear slot and a5 gear slot are arranged on one shaft, a 2 gear slot and a 4 gear slot are arranged on the other shaft, and in the gear shifting process, the gear is shifted in a mode of sequentially changing gears instead of a gear jump mode, for example, the vehicle gear is 3 gear at the current moment, and the vehicle gear can be shifted to 2 gear or 4 gear instead of 1 gear or 5 gear. Specifically, if the current vehicle state information meets all the self-learning starting conditions, the situation that a large slip difference can occur in the subsequent gear shifting adjustment process is indicated, and self-learning is started; if the current vehicle state information does not meet any of the self-learning starting conditions, the condition that the large slip difference does not occur in the subsequent gear shifting adjustment process is indicated, and the self-learning is not performed, so that the condition that the large slip difference does not occur in the subsequent gear shifting adjustment process is avoided, and further the self-learned friction coefficient is obtained under the condition that the large slip difference is ensured.
And S120, if the self-learning starting condition is met, performing gear shifting control based on a self-learning control mode, and recording engine torque information and clutch pressure information in a preset self-learning time period.
The preset self-learning duration may be preset, and the self-learning friction coefficient may be a duration of time. Fig. 2 shows a clutch pressure and rotational speed profile for a power upshift. For example, the preset self-learning period may be a period between time t2 and time t3 in fig. 2.
Specifically, if the current vehicle state information satisfies the self-learning start condition, shift control may be performed based on a self-learning control manner, and engine torque information and clutch pressure information for determining the friction coefficient may be recorded within a preset self-learning period. For example, the high clutch may be controlled to maintain its applied pressure during the period between t2 and t3 in FIG. 2, and engine torque information and clutch pressure information recorded in preparation for a more accurate determination of the coefficient of friction.
And S130, determining a target friction coefficient based on the engine torque information and the clutch pressure information, and updating the original friction coefficient based on the target friction coefficient.
The friction coefficient calculation formula is mu=T/-n.times.P, wherein mu is the friction coefficient of the clutch, T is the average value of engine torque, n is the rotation speed difference, and P is the pressure applied by the clutch. Specifically, the controller determines a target friction coefficient through a friction coefficient calculation formula based on engine torque information and clutch pressure information, and updates the target friction coefficient and a corresponding original friction coefficient, so that the updated existing friction coefficient can be called when the friction coefficient is called next time, the called friction coefficient is the friction coefficient with more accurate updating, and the accurate control of the torque of the clutch is finally realized.
According to the technical scheme, whether the self-learning starting condition is met is detected by responding to the vehicle gear shifting request; if the self-learning starting condition is met, gear shifting control is performed based on a self-learning control mode, and engine torque information and clutch pressure information within a preset self-learning duration are recorded; the target friction coefficient is determined based on the engine torque information and the clutch pressure information, and the original friction coefficient is updated based on the target friction coefficient, so that the self-learning of the friction coefficient can be realized under the condition that the sliding friction difference of vehicle gear shifting is large, and further, the more accurate control of the clutch torque can be realized.
Based on the above technical solution, S120 "shift control based on a self-learning control manner" may include: controlling oil pressure for gear shift preparation and torque exchange based on a vehicle gear shift request; controlling the pressure of a target gear clutch corresponding to a vehicle gear shifting request to be kept unchanged within a preset self-learning duration after the torque exchange is finished; after the self-learning duration is preset at intervals, the pressure of a target gear clutch corresponding to a vehicle gear shifting request is controlled to carry out gear shifting speed regulation based on an original pressure control mode until gear shifting is finished.
Wherein controlling the oil pressure may refer to controlling the oil pressure in an oil pressure range that may be used for shifting. Torque exchange may refer to exchanging torque corresponding to high clutch pressure with torque corresponding to low clutch pressure, such as torque changes at stages t1-t2 in fig. 2.
Specifically, a power upshift is taken as an example with reference to fig. 2. In the period of t1-t2, the controller controls oil pressure to perform gear shifting preparation and torque exchange based on a vehicle gear shifting request, wherein the torque exchange can be to reduce the pressure of the low gear clutch to a value of the pressure of the high gear clutch at the time t1 and to increase the pressure of the high gear clutch to a value of the pressure of the low gear clutch at the time t 1. In a preset self-learning period after the torque exchange is finished, namely in a period t2-t3 in fig. 2, the controller controls the pressure of a target gear clutch corresponding to a vehicle gear shifting request to be unchanged, namely in a period t2-t3 in fig. 2, the pressure of a high gear clutch is unchanged, and therefore the rotation speed difference between the rotation speed of an engine and the rotation speed of the target gear clutch is kept unchanged. After the self-learning duration is preset at intervals, namely in the stages t3-t4 in fig. 2, the controller controls the pressure of the target gear clutch corresponding to the vehicle gear shifting request to carry out gear shifting speed regulation based on the original clutch pressure control mode, namely the controller controls the pressure of the high gear clutch to carry out gear shifting speed regulation according to the original clutch pressure change mode, and the gear shifting is completed.
For example, "controlling the pressure of the target gear clutch corresponding to the vehicle shift request to remain unchanged during the preset self-learning period after the end of the torque exchange" may include: if the vehicle gear shifting request is a power upshift request, controlling the pressure of the high-gear clutch to be unchanged within a preset self-learning duration after the torque exchange is finished; if the vehicle gear shifting request is a power downshift request, controlling the pressure of the low gear clutch to be unchanged within a preset self-learning period after the torque exchange is finished.
Specifically, the controller controls the clutch pressure for a preset self-learning period after the end of torque exchange based on the type of the vehicle shift request. If the vehicle gear shifting request is detected to be a power upshift request, the controller controls the pressure of the high-gear clutch to be kept unchanged within a preset self-learning duration after the torque exchange is finished; if the vehicle gear shifting request is detected to be a power gear shifting request, the controller controls the pressure of the low gear clutch to be unchanged within the preset self-learning duration after the torque exchange is finished, so that the working condition change of gears in driving can be dealt with, and further the self-learning of the friction coefficient can be more accurately carried out.
Example two
Fig. 3 is a flowchart of a self-learning method for friction coefficient of a clutch according to a second embodiment of the present invention, where, based on the above embodiments, after determining a target friction coefficient based on engine torque information and clutch pressure information and updating an original friction coefficient based on the target friction coefficient, a step of "during a vehicle gear shift, if a self-learning update condition is detected not to be satisfied, the self-learning control operation is exited, and gear shift control is performed based on an original control mode" is added. Wherein the explanation of the same or corresponding terms as those of the above-described embodiments of the present invention is not repeated herein. As shown in fig. 3, the method specifically includes the following steps:
S210, in response to a vehicle gear shifting request, whether a self-learning starting condition is met is detected.
And S220, if the self-learning starting condition is met, performing gear shifting control based on a self-learning control mode, and recording engine torque information and clutch pressure information in a preset self-learning duration.
And S230, determining a target friction coefficient based on the engine torque information and the clutch pressure information, and updating the original friction coefficient based on the target friction coefficient.
S240, in the vehicle gear shifting process, if the self-learning updating condition is not met, the self-learning control operation is exited, and gear shifting control is performed based on the original control mode.
The self-learning update condition may refer to a condition that characterizes an update that allows an existing friction coefficient to be updated. Specifically, in the vehicle gear shifting process, that is, in the period of time before t4 in fig. 2, if it is detected that the vehicle state information does not meet the self-learning update condition, the self-learning control operation is exited, the update of the original friction coefficient is avoided, and the normal gear shifting control is performed based on the original control mode, so that the accuracy of self-learning can be further ensured. After the gear shifting is finished, if the self-learning updating condition is met, the original friction coefficient is updated based on the target friction coefficient, so that the accuracy of friction coefficient updating can be further ensured.
Illustratively, the "self-learning update condition" in S240 may include: the throttle opening change value is smaller than a preset change threshold value, the engine torque fluctuation is smaller than a preset torque fluctuation threshold value, the rotation speed difference fluctuation of the engine and the transmission in a speed regulation stage is smaller than a preset rotation speed difference fluctuation threshold value, the rotation speed acceleration of an output shaft of the transmission is smaller than a preset acceleration, the rotation speed of the engine is in a preset rotation speed range, the engine torque is in a preset torque range and the surface temperature of a clutch is in a preset temperature range.
Specifically, if the current vehicle state information does not meet any self-learning updating condition, it indicates that updating of the existing friction coefficient is not allowed at present, and at this time, the self-learning operation can be exited, and gear shifting control is performed according to the original control mode until gear shifting is completed.
For example, "if the self-learning update condition is not satisfied, the self-learning control operation is exited, and the shift control is performed based on the original control manner" in S240 may include: if the self-learning updating condition is not met before the torque exchange is finished, directly controlling the pressure of a target gear clutch corresponding to the vehicle gear shifting request to carry out gear shifting speed regulation based on the original pressure control mode after the torque exchange is finished; if the self-learning updating condition is not met in the preset self-learning duration after the torque exchange is finished, interrupting the self-learning control operation, controlling the pressure of a target gear clutch corresponding to the vehicle gear shifting request to carry out gear shifting speed regulation based on the original pressure control mode, and deleting the information recorded in the preset self-learning duration; if the self-learning updating condition is not met after the preset self-learning duration is spaced, continuously controlling the pressure of the target gear clutch corresponding to the vehicle gear shifting request to carry out gear shifting speed regulation based on the original pressure control mode, and deleting the information recorded in the preset self-learning duration.
Specifically, if it is detected that the self-learning update condition is not satisfied before the torque exchange is completed, for example, in a period of time before t2 in fig. 2, the pressure of the target gear clutch corresponding to the vehicle gear shift request is controlled to perform gear shift speed regulation directly based on the original clutch pressure control mode after the torque exchange is completed, for example, normal gear shift control is performed after the t2-t3 stage is skipped directly in fig. 2. If the self-learning update condition is not satisfied in a preset self-learning duration after the torque exchange is finished, for example, in a time period between t2 and t3 in fig. 2, the self-learning control operation is interrupted, the pressure of a target gear clutch corresponding to a vehicle gear shift request is controlled to perform gear shift speed regulation based on an original clutch pressure control mode, engine torque information and clutch pressure information recorded in the preset self-learning duration are deleted, for example, in fig. 2, the time period t2-t3 can be interrupted by resetting t3 to be the current stage, the speed regulation is directly performed, and no data are recorded. If the self-learning update condition is detected not to be satisfied after the preset self-learning duration is set, for example, in a period of time after t3 in fig. 2, the pressure of the target gear clutch corresponding to the vehicle gear shift request is controlled to perform gear shift speed regulation based on the original clutch pressure control mode, engine torque information and clutch pressure information are recorded in the preset self-learning duration, for example, in fig. 2, the following control can be performed normally, and no data are recorded.
According to the technical scheme provided by the embodiment of the invention, if the self-learning updating condition is not met in the vehicle gear shifting process, the self-learning control operation is exited, and the normal gear shifting control is performed based on the original control mode, so that the accuracy of self-learning can be further ensured, and the original control mode is compatible.
Example III
Fig. 4 is a schematic structural diagram of a self-learning device for friction coefficient of a clutch according to a third embodiment of the present invention. As shown in fig. 4, the apparatus specifically includes: a self-learning detection device 310, a self-learning control device 320, and a friction coefficient update device 330.
Wherein, the self-learning detection device 310 is configured to detect whether the self-learning start condition is satisfied in response to a vehicle shift request. The self-learning control device 320 is configured to perform shift control based on a self-learning control method and record engine torque information and clutch pressure information within a preset self-learning period if a self-learning start condition is satisfied. And a friction coefficient updating means 330 for determining a target friction coefficient based on the engine torque information and the clutch pressure information and updating the original friction coefficient based on the target friction coefficient.
According to the technical scheme, whether the self-learning starting condition is met is detected by responding to the vehicle gear shifting request; if the self-learning starting condition is met, gear shifting control is performed based on a self-learning control mode, and engine torque information and clutch pressure information within a preset self-learning duration are recorded; the target friction coefficient is determined based on the engine torque information and the clutch pressure information, and the original friction coefficient is updated based on the target friction coefficient, so that the self-learning of the friction coefficient can be realized under the condition that the sliding friction difference of vehicle gear shifting is large, and further, the more accurate control of the clutch torque can be realized.
Optionally, the self-learning start condition includes: the vehicle shift request is a power upshift request or a power downshift request, the vehicle is not in a start phase, the vehicle shift request is a non-coaxial shift, the transmission oil temperature is within a preset oil temperature range, and the engine water temperature is within a preset water temperature range.
Optionally, the self-learning control device 320 includes:
A torque exchange control unit for controlling oil pressure for gear shift preparation and torque exchange based on a vehicle gear shift request;
the pressure control unit is used for controlling the pressure of the target gear clutch corresponding to the vehicle gear shifting request to be kept unchanged within the preset self-learning duration after the torque exchange is finished;
And the gear shifting and speed regulating unit is used for controlling the pressure of the target gear clutch corresponding to the vehicle gear shifting request to carry out gear shifting and speed regulating based on the original pressure control mode after the self-learning duration is preset at intervals until the gear shifting is finished.
Optionally, the pressure control unit is specifically configured to: if the vehicle gear shifting request is a power upshift request, controlling the pressure of the high-gear clutch to be unchanged within a preset self-learning duration after the torque exchange is finished; if the vehicle gear shifting request is a power downshift request, controlling the pressure of the low gear clutch to be unchanged within a preset self-learning period after the torque exchange is finished.
Optionally, the apparatus further comprises:
and the self-learning exit module is used for exiting the self-learning control operation and performing gear shifting control based on the original control mode if the self-learning update condition is detected not to be met in the gear shifting process of the vehicle.
Optionally, the self-learning update condition includes: the throttle opening change value is smaller than a preset change threshold value, the engine torque fluctuation is smaller than a preset torque fluctuation threshold value, the rotation speed difference fluctuation of the engine and the transmission in a speed regulation stage is smaller than a preset rotation speed difference fluctuation threshold value, the rotation speed acceleration of an output shaft of the transmission is smaller than a preset acceleration, the rotation speed of the engine is in a preset rotation speed range, the engine torque is in a preset torque range and the surface temperature of a clutch is in a preset temperature range.
Optionally, the self-learning exit module is specifically configured to:
If the self-learning updating condition is not met before the torque exchange is finished, directly controlling the pressure of a target gear clutch corresponding to a vehicle gear shifting request to carry out gear shifting speed regulation based on the original pressure control mode after the torque exchange is finished; if the self-learning updating condition is not met in the preset self-learning duration after the torque exchange is finished, interrupting the self-learning control operation, controlling the pressure of a target gear clutch corresponding to the vehicle gear shifting request to carry out gear shifting speed regulation based on the original pressure control mode, and deleting the information recorded in the preset self-learning duration; if the self-learning updating condition is not met after the self-learning duration is preset at intervals, the pressure of the target gear clutch corresponding to the vehicle gear shifting request is controlled to carry out gear shifting speed regulation continuously based on the original pressure control mode, and information recorded in the preset self-learning duration is deleted.
Example IV
Fig. 5 is a schematic structural diagram of a dual clutch transmission according to a fourth embodiment of the present invention. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 5, the dual clutch transmission 400 may include two sets of clutches, a first clutch 410 and a second clutch 420, respectively, and a controller 430. Wherein the controller 430 is configured to implement the self-learning method of the friction coefficient of the clutch according to any embodiment of the present invention.
According to the dual clutch transmission disclosed by the embodiment of the invention, the controller can detect whether the self-learning starting condition is met or not by responding to a vehicle gear shifting request; if the self-learning starting condition is met, gear shifting control is performed based on a self-learning control mode, and engine torque information and clutch pressure information within a preset self-learning duration are recorded; the target friction coefficient is determined based on the engine torque information and the clutch pressure information, and the original friction coefficient is updated based on the target friction coefficient, so that the self-learning of the friction coefficient can be realized under the condition that the sliding friction difference of vehicle gear shifting is large, and further, the more accurate control of the clutch torque can be realized.
Example five
The present embodiment provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of self-learning a friction coefficient of a clutch as provided by any of the embodiments of the present invention.
From the above description of embodiments, it will be clear to a person skilled in the art that the present invention may be implemented by means of software and necessary general purpose hardware, but of course also by means of hardware, although in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a FLASH Memory (FLASH), a hard disk, or an optical disk of a computer, where the instructions include a number of instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the self-learning method of the friction coefficient of the clutch according to the embodiments of the present invention.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (9)
1.A method of self-learning a coefficient of friction of a clutch, comprising:
detecting whether a self-learning start condition is satisfied in response to a vehicle shift request;
If the self-learning starting condition is met, gear shifting control is performed based on a self-learning control mode, and engine torque information and clutch pressure information within a preset self-learning duration are recorded;
Determining a target friction coefficient based on the engine torque information and the clutch pressure information, and updating an original friction coefficient based on the target friction coefficient;
The gear shift control based on the self-learning control mode comprises the following steps:
controlling oil pressure to perform gear shift preparation and torque exchange based on the vehicle gear shift request;
controlling the pressure of a target gear clutch corresponding to the vehicle gear shifting request to be unchanged within a preset self-learning duration after the torque exchange is finished;
And after the preset self-learning duration is set at intervals, controlling the pressure of the target gear clutch corresponding to the vehicle gear shifting request to carry out gear shifting speed regulation based on the original pressure control mode until gear shifting is finished.
2. The method of claim 1, wherein the self-learning initiation condition comprises:
The vehicle shift request is a power upshift request or a power downshift request, the vehicle is not in a starting stage, the vehicle shift request is a non-coaxial shift, the transmission oil temperature is within a preset oil temperature range, and the engine water temperature is within a preset water temperature range.
3. The method according to claim 1, wherein controlling the pressure of the target gear clutch corresponding to the vehicle shift request to remain unchanged for a preset self-learning period after the end of torque exchange, comprises:
if the vehicle gear shifting request is a power upshift request, controlling the pressure of the high-gear clutch to be unchanged within a preset self-learning duration after the torque exchange is finished;
And if the vehicle gear shifting request is a power downshift request, controlling the pressure of the low gear clutch to be unchanged within a preset self-learning period after the torque exchange is finished.
4. A method according to any one of claims 1-3, wherein the method further comprises:
And in the vehicle gear shifting process, if the self-learning updating condition is not met, the self-learning control operation is exited, and the gear shifting control is performed based on the original control mode.
5. The method of claim 4, wherein the self-learning update condition comprises:
The throttle opening change value is smaller than a preset change threshold value, the engine torque fluctuation is smaller than a preset torque fluctuation threshold value, the rotation speed difference fluctuation of the engine and the transmission in a speed regulation stage is smaller than a preset rotation speed difference fluctuation threshold value, the rotation speed acceleration of an output shaft of the transmission is smaller than a preset acceleration, the rotation speed of the engine is in a preset rotation speed range, the engine torque is in a preset torque range and the surface temperature of a clutch is in a preset temperature range.
6. The method of claim 4, wherein exiting the self-learning control operation if the self-learning update condition is detected not to be satisfied, performing shift control based on the original control mode, comprises:
If the self-learning updating condition is not met before the torque exchange is finished, directly controlling the pressure of a target gear clutch corresponding to the vehicle gear shifting request to carry out gear shifting speed regulation based on the original pressure control mode after the torque exchange is finished;
if the self-learning updating condition is not met in the preset self-learning duration after the torque exchange is finished, interrupting the self-learning control operation, controlling the pressure of a target gear clutch corresponding to the vehicle gear shifting request to carry out gear shifting speed regulation based on the original pressure control mode, and deleting the information recorded in the preset self-learning duration;
If the self-learning updating condition is not met after the preset self-learning duration is spaced, continuously controlling the pressure of the target gear clutch corresponding to the vehicle gear shifting request to carry out gear shifting speed regulation based on the original pressure control mode, and deleting the information recorded in the preset self-learning duration.
7. A friction coefficient self-learning device of a clutch, comprising:
the self-learning detection device is used for responding to a vehicle gear shifting request and detecting whether a self-learning starting condition is met;
The self-learning control device is used for performing gear shifting control based on a self-learning control mode and recording engine torque information and clutch pressure information in a preset self-learning time period if the self-learning starting condition is met;
the friction coefficient updating device is used for determining a target friction coefficient based on the engine torque information and the clutch pressure information and updating the original friction coefficient based on the target friction coefficient;
wherein, the self-learning control device includes:
a torque exchange control unit for controlling oil pressure for gear shift preparation and torque exchange based on the vehicle gear shift request;
the pressure control unit is used for controlling the pressure of the target gear clutch corresponding to the vehicle gear shifting request to be kept unchanged within a preset self-learning duration after the torque exchange is finished;
And the gear shifting and speed regulating unit is used for controlling the pressure of the target gear clutch corresponding to the vehicle gear shifting request to carry out gear shifting and speed regulating based on the original pressure control mode after the preset self-learning duration is spaced until the gear shifting is finished.
8. A dual clutch transmission, the dual clutch transmission comprising: two sets of clutches and a controller;
Wherein the controller is configured to implement the self-learning method of the friction coefficient of the clutch of any one of claims 1-6.
9. A computer readable storage medium storing computer instructions for causing a processor to perform the method of self-learning the friction coefficient of the clutch of any one of claims 1-6.
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| CN111365452A (en) * | 2020-03-26 | 2020-07-03 | 泸州容大智能变速器有限公司 | Self-adaptive learning control method in clutch combination process |
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| JP5407392B2 (en) * | 2009-02-09 | 2014-02-05 | トヨタ自動車株式会社 | Clutch operation position learning device |
| CN103758994B (en) * | 2014-02-20 | 2015-11-18 | 盛瑞传动股份有限公司 | A kind of automatic transmission adaptive optimization shift control method |
| KR101876871B1 (en) * | 2016-12-09 | 2018-07-11 | 현대오트론 주식회사 | Clutch friction coefficient studying control device and methods of multi-stage automatic transmission |
| CN112161049B (en) * | 2020-09-17 | 2022-08-02 | 潍柴动力股份有限公司 | Real-time self-learning control method and device for clutch |
| CN113007239B (en) * | 2021-04-28 | 2022-11-15 | 一汽解放汽车有限公司 | AMT clutch friction point self-learning method and system and vehicle |
| CN113586623B (en) * | 2021-07-30 | 2022-12-06 | 东风商用车有限公司 | Self-learning method, device and equipment for clutch transmission torque and readable storage medium |
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| CN105822761A (en) * | 2016-04-26 | 2016-08-03 | 中国第汽车股份有限公司 | Dual-clutch friction coefficient self-learning method of wet-type dual-clutch automatic transmission |
| CN111365452A (en) * | 2020-03-26 | 2020-07-03 | 泸州容大智能变速器有限公司 | Self-adaptive learning control method in clutch combination process |
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