KR20170070714A - Learning Method for Torque-Stroke Curve - Google Patents

Learning Method for Torque-Stroke Curve Download PDF

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Publication number
KR20170070714A
KR20170070714A KR1020150178566A KR20150178566A KR20170070714A KR 20170070714 A KR20170070714 A KR 20170070714A KR 1020150178566 A KR1020150178566 A KR 1020150178566A KR 20150178566 A KR20150178566 A KR 20150178566A KR 20170070714 A KR20170070714 A KR 20170070714A
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South Korea
Prior art keywords
curve
learning
torque
point
virtual
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KR1020150178566A
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Korean (ko)
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KR101786980B1 (en
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박성진
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현대오트론 주식회사
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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
    • 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
    • F16H59/00—Control inputs to control units of change-speed-, or reversing-gearings for conveying rotary motion
    • F16H59/14—Inputs being a function of torque or torque demand
    • 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
    • F16H59/00—Control inputs to control units of change-speed-, or reversing-gearings for conveying rotary motion
    • F16H59/50—Inputs being a function of the status of the machine, e.g. position of doors or safety belts
    • F16H59/56—Inputs being a function of the status of the machine, e.g. position of doors or safety belts dependent on signals from the main clutch
    • 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)
  • Hydraulic Clutches, Magnetic Clutches, Fluid Clutches, And Fluid Joints (AREA)

Abstract

One aspect of the present invention relates to a learning method of a linear section start torque of a torque-stroke relationship curve of a clutch, and more particularly to a method of automatically learning the mechanism of a manual transmission such as AMT (Automated Manual Transmission) and DCT (Dual Clutch Transmission) Stroke relationship curve of a clutch in a system in which the clutch is to be controlled.
According to an embodiment of the present invention, it is possible to provide a shift control technique in which the accuracy of the TS curve is increased, thereby reducing a shift shock due to excessive or inadequate clutch torque or a feeling of stopping during shifting.

Description

{Learning Method for Torque-Stroke Curve}

One aspect of the present invention relates to a method of learning a torque-stroke relationship curve, and more particularly, to a system for automatically controlling a mechanism of a manual transmission such as AMT (Automated Manual Transmission) and DCT (Dual Clutch Transmission) To a method of learning a torque point at which a linear section of a torque-stroke relationship curve begins.

The contents described in this section merely provide background information on the embodiment of the present invention and do not constitute the prior art.

In a transmission for transmitting the power of the engine, the clutch serves to transmit the power by attaching the drive shaft engaged with the gear to the engine or disconnecting the drive shaft from the engine to disconnect the power.

To transmit the torque of the engine to the clutch, the position of the clutch is changed by an actuator such as a solenoid or a motor. Such a positional change can be expressed by a travel distance or stroke of the clutch, and a curve representing the capacity of the transmission torque of the clutch according to the stroke is referred to as a torque-stroke curve. The transmission controller controls the torque of the clutch based on the TS curve.

AMT, DCT, etc. The relationship between the clutch torque and the stroke in relation to the clutch curve (TS curve) must be accurately known so that the actual engine torque can be accurately transmitted to the clutch. If a clutch torque of a predetermined value or more is matched with a specific stroke on the TS curve, an excessive direct impact is generated. On the contrary, if the clutch torque below the normal value is applied, the engine causes a problem of run-up.

However, even if the initial TS curve is precisely matched, the TS curve is different from the actual one due to wear, thermal deformation, and mass production deviation of the clutch, which may lead to a malfunction of the system.

It is necessary to learn TS curves to prevent such a system error. Generally, there are two or more return springs having different elastic numbers in a clutch of a DCT vehicle. When a force larger than the resultant force of these return springs is applied, the clutch transmits power to the engine, The large torque can be transmitted by the characteristics of the TS curve.

The elasticity of the spring is proportional to the distance traveled by the clutch (F = kx, k is the modulus of elasticity), and the TS curve has a straight slope from the distance at which only the force of the spring with the relatively greatest modulus of elasticity occurs. However, the stroke value at which only the spring force with a large elastic modulus begins to be generated is not known exactly.

In order to find out the torque at which the TS curve enters the straight line region, it is most clear how to store the clutch stroke and engine torque when the TS curve is learned and determine whether the stored values are straight or not. However, the torque of the engine is always accompanied by an error, and an error also occurs depending on whether the clutch is in the closing or opening direction, and the friction coefficient according to the temperature is also different. Therefore, It is impossible to judge whether or not.

An object of the present invention is to solve the above-mentioned problems, and it is an object of the present invention to provide a method and a system for measuring a torque curve of a TS curve, Stroke relationship curve that makes two torque points with a value (+ - Offset) virtual and makes a new learning of the linear region start torque through the relationship between the virtual TS curve by the virtual torque and the learning point And provides a learning method of the linear section start torque.

The technical object of the present invention is not limited to the above-mentioned technical objects and other technical objects which are not mentioned can be clearly understood by those skilled in the art from the following description will be.

According to one aspect of the present invention, there is provided a learning method for updating a torque-stroke curve representing a relationship between a stroke of a clutch and a transmission torque,

A learning condition determining step of determining whether a learning condition for learning a torque point at which a straight line section of a TS curve starts is satisfied; A virtual curve generating step of generating a virtual curve having a different torque point at which a conventional TS curve and a straight line section start when the learning condition is satisfied; And

And a TS curve selecting step of measuring a first learning point and selecting one of the existing TS curve and the virtual curve as a new TS curve based on the first learning point have.

According to an embodiment of the present invention, an update condition determination step of determining whether an update condition of a TS curve is satisfied before the learning condition determination step is performed is characterized in that the update condition is a condition for assuring a stable state of the clutch .

Here, the update condition is such that 1) the RPM of the engine is maintained within the set range, 2) the slip is maintained between the clutch and the engine, 3) the variation of the engine torque is within the set range, and 4) And the case where at least one of them is included is satisfied.

According to an embodiment, the learning condition may be satisfied when the measured second learning point converges to the periphery of the torque point at which the straight section of the existing TS curve starts.

Here, the periphery of the torque point may be defined as a stroke interval of the setting range and a torque interval of the setting range.

According to an embodiment, the learning condition is satisfied when a position error is located within a set range between a measured second learning point and a torque point at which a straight line section of the existing TS curve starts.

According to an embodiment of the present invention, the virtual curve generation step may include a plurality of virtual curves, and the plurality of virtual curves may have different torque points at which the straight line sections start.

Here, the torque point at which the straight line section of each of the plurality of virtual curves starts in the virtual curve generating step may be offset from the torque point at which the straight line section of the existing TS curve starts, by a set value in different directions .

Here, the slope of each of the plurality of virtual curves may be set to have a relationship between the set value and a function. In addition, the stroke point of each of the plurality of virtual curves may be set to have a relationship between the set value and a function.

The TS curve selection step may select a curve having the smallest position error between the first learning point and the existing TS curve and the plurality of virtual curves as a new TS curve.

And the TS curve selection step starts the selection of the new TS curve when the first learning point is measured at a point above a reference value.

Here, the reference value may be a torque value that is larger than a torque point at which the straight line section of the existing TS curve starts.

According to another aspect of the present invention for achieving the above object, there is provided a learning method for updating a torque-stroke curve representing a relationship between a stroke of a clutch and a transmission torque,

A virtual curve generation step of generating a plurality of virtual curves having different torque points at which a straight line section starts; And a TS curve selection step of measuring a learning point and selecting one of the existing TS curve and the plurality of virtual curves as a new TS curve based on the learning point.

According to another aspect of the present invention, there is provided a stroke information input unit for inputting stroke information of a clutch. A torque information input unit for receiving torque information of the engine; And

A learning curve generating unit for generating a virtual curve having a different torque point at which a straight line segment starts from an existing TS curve and setting a learning point by receiving the stroke information and the torque amount information, And a learning controller for learning a TS curve.

The slip information input unit receives the slip amount information of the clutch between the engine and the transmission, and the learning controller analyzes the input slip amount information to determine whether the clutch is in the slip state In this case, learning can be started.

As described above, according to the embodiment of the present invention, the accuracy of the TS curve is increased, thereby providing a shift control technique in which a shift shock caused by excessive or inadequate clutch torque or a feeling of stopping during shifting is reduced .

In addition, the effects of the present invention have various effects such as excellent durability according to the embodiments, and such effects can be clearly confirmed in the description of the embodiments described later.

1 is a configuration diagram illustrating a TS curve learning method according to an embodiment of the present invention.
2 is a flowchart illustrating a method of learning a TS curve according to an embodiment of the present invention.
FIG. 3 illustrates two conventional virtual curves having different torque points at which a straight line segment starts from an existing TS curve according to an embodiment of the present invention.
4 is an enlarged view of a torque point at which a straight line section of a conventional TS curve starts.
FIG. 5 illustrates a process of generating a virtual curve among TS curve learning methods according to an exemplary embodiment of the present invention and comparing the virtual curve with an existing TS curve.
6 shows the relationship between the slope of the TS curve and the torque.
FIG. 7 shows a method of learning a TS curve according to another embodiment of the present invention.
FIG. 8 shows a TS curve learning apparatus according to another embodiment of the present invention.

Hereinafter, an embodiment of the present invention will be described in detail with reference to exemplary drawings.

It should be noted that, in adding reference numerals to the constituent elements of the drawings, the same constituent elements are denoted by the same reference symbols as possible even if they are shown in different drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

In addition, the size and shape of the components shown in the drawings may be exaggerated for clarity and convenience of explanation. In addition, terms specifically defined in consideration of the constitution and operation of the present invention are only for explaining the embodiments of the present invention, and do not limit the scope of the present invention.

1 is a configuration diagram illustrating a TS curve learning method according to an embodiment of the present invention.

Referring to FIG. 1, a method for learning a TS curve according to an embodiment of the present invention is a learning method for updating a torque-stroke curve representing a relationship between a stroke of a clutch and a transmission torque,

A learning condition determination step (S110) of determining whether a learning condition for learning a torque point at which a straight line section of a TS curve starts is satisfied;

A virtual curve generation step (S120) of generating a virtual curve in which the existing TS curve and the torque point at which the straight line section starts are different from each other when the learning condition is satisfied; And

And a TS curve selection step (S130) of measuring a first learning point and selecting one of the existing TS curve and the virtual curve as a new TS curve based on the first learning point.

Here, an update condition determination step (S100) may be performed to determine whether the update condition of the TS curve is satisfied before the learning condition determination step (S110). Here, the update condition may be a condition for assuring a stable state of the clutch.

According to the embodiment, the update condition is such that 1) the RPM of the engine is maintained within the set range, 2) the slip is maintained between the clutch and the engine, 3) the variation of the engine torque is within the setting range, and 4) And the case where at least one of them is included within the range can be satisfied.

2 is a flowchart illustrating a method of learning a TS curve according to an embodiment of the present invention.

FIG. 3 illustrates two conventional virtual curves having different torque points at which a straight line segment starts from an existing TS curve according to an embodiment of the present invention.

Referring to FIGS. 2 and 3, the TS curve learning method according to an embodiment of the present invention collects vehicle state information related to a clutch of a vehicle in advance and assures a stable state of the clutch from the vehicle state information It is checked whether the update condition of the TS curve is satisfied (S100).

If the update condition of the TS curve is not satisfied, the learning is terminated. However, if the updating condition of the TS curve is satisfied, it is checked whether the learning condition for learning the torque point at which the straight line section starts is satisfied (S110).

Here, the learning is terminated if the learning condition for learning the torque point at which the straight line section starts is not satisfied. However, if the learning condition is satisfied, two virtual curves B and C having different torque points at which the straight line section starts are generated (S120). The two virtual curves B and C generated here may have different torque points at which the straight line segment starts from the existing TS curve A, respectively. That is, all three curves may have different torque points at which the straight section begins.

Then, a first learning point (P1) indicating the transmission torque transmitted by the actual clutch and the stroke of the clutch corresponding to the transmission torque is measured, and when the torque point of the first learning point (P1) is measured at a point above the reference value (S130).

Here, if the torque point of the first learning point P1 (corresponding to the Y-axis distance in Fig. 3) is not measured at a point above the reference value, the learning is terminated. However, if it is measured at a point above the reference value, the first learning point P1 and the position error (degree) of the three curves A, B, and C including the existing TS curve A and two virtual curves B and C 3). That is, the curve with the smallest stroke error is selected as a new curve (S140). 3, when comparing the position error S1 of the existing TS curve A with the position error S2 of the virtual curve B and the position error S3 of the virtual curve C, the position of the virtual curve C Since the error S3 is the smallest, the virtual curve C can be selected as a new TS curve.

4 is an enlarged view of a torque point at which a straight line section of a conventional TS curve starts. The learning condition determination step (S110) of the present embodiment will be described with reference to FIG.

The learning condition for learning the torque point at which the straight line section of the TS curve starts in the learning condition determination step S110 according to the embodiment is that the measured second learning point P2 is the straight line section of the existing TS curve A (R) of the torque point (y) at which the starting point (D) starts. Here, the periphery R of the torque point y can be defined as a stroke range 2x of the set range and a torque range 2b of the set range.

According to the embodiment, the number of the second learning points P2 to be measured here may be plural. That is, it is possible to confirm whether or not the measured second learning points P2 converge to the periphery R of the torque point y, by measuring the second learning point P2 a plurality of times.

When the existing TS curve A converges below the threshold value in the vicinity of the torque point y at which the straight line segment D of the existing TS curve A starts, that is, in the torque range (yb to y + b) In other words, when converging within the stroke range 2x of the setting range, it can be assumed that the TS characteristic of the curved region E under the linear region D is correct. If the TS characteristic of the curved region E is correct, The learning of the torque point y of the section D becomes possible and the process can proceed to the virtual curve creation step S120.

According to another embodiment, the learning condition is such that the position error between the measured second learning point P2 and the torque point y at which the linear section D of the existing TS curve A starts, (2x). ≪ / RTI >

FIG. 5 illustrates a process of generating a virtual curve among TS curve learning methods according to an exemplary embodiment of the present invention and comparing the virtual curve with an existing TS curve.

Referring to FIG. 5, in the virtual curve generation step S120, there are a plurality of virtual curves B and C, and the plurality of virtual curves B and C may have different torque points at which a straight line section starts.

The torque point at which the straight line section of each of the plurality of virtual curves B and C begins according to the embodiment is set in a different direction from the torque point y at which the straight line section of the existing TS curve A starts + a, -a. < / RTI > 5, the straight line section start torque point of one of the plurality of virtual curves B and C is set to a set value (+) from the linear section start torque point (y) of the existing TS curve A, a and the linear section start torque point of the other one of the plurality of virtual curves B and C is smaller than the value y of the existing TS curve by the set value -a.

6 shows the relationship between the slope of the TS curve and the torque. In Fig. 6, the X-axis represents the torque, and the Y-axis represents the slope of the TS curve.

Referring to FIG. 6, the slope of each of the plurality of virtual curves B and C may be set to have a function relationship with the set values (+ a, -a).

When a new TS curve is generated, the slope of the virtual curve C whose linear segment start torque point is larger than the linear segment start torque point (y) of the existing TS curve (a) by the set value (+ a) is proportional to the magnitude of the set value a . Therefore, if the linear slope of the existing TS curve A is g, a virtual curve C having a linear slope of g + a / y can be generated.

The slope of the virtual curve B whose linear segment start torque point is smaller than the linear segment start torque point (y) of the existing TS curve A by the set value (-a) also increases in proportion to the set value a. Therefore, if the linear slope of the existing TS curve A is g, a virtual curve B having a linear slope of g - a / y can be generated.

Referring again to FIG. 5, since the plurality of virtual curves B and C generated according to the embodiment are naturally connected to the straight line section and the curved line section, the stroke points of each of the plurality of virtual curves B and C are set to the set value (+ a, -a) and a function. The stroke point of the virtual curve C is moved to the right side of the stroke point of the existing TS curve A and the stroke point of the virtual curve B is shifted to the left side of the stroke point of the existing TS curve A. [

Meanwhile, according to the embodiment, the TS curve selection step S130 can start selection of a new TS curve when the first learning point P1 is measured at a point above the reference value (+ c). That is, the learning of the TS curve can be continued. The reference value (+ c) may be a torque value that is larger than the torque point (y) at which the straight section of the existing TS curve (A) starts.

Setting the reference value (+ c) is performed by performing a learning condition determination step (S110) of determining whether a learning condition for learning a torque point at which a straight line section of a TS curve starts is satisfied, It is confirmed whether or not the second learning points P2 converge to the periphery R of the torque point y at which the section starts and then the reference point (+ c) is set in advance and the learning is to be performed only when the first learning point P1 is measured at the reference value (+ c) or more.

That is, the reference value (+ c) is a condition for continuing the learning of the TS curve. One of the reasons for performing the learning at the reference value (+ c) or more is that it is more accurate to move the stroke position only when the measured first learning point (P1) falls below the reference value (+ c) This is because the curve may be distorted when connecting the straight section D with the lower curve section E.

In this embodiment, since the TS curve is learned by changing the start point of the linear section start torque, the above problem can be solved.

The TS curve selection step S130 may include a step of selecting an existing TS curve A and the plurality of virtual curves B and C according to an embodiment of the present invention, The first learning point P1 and the curve with the smallest position error can be selected as a new TS curve.

A torque point y + a offset from the linear section start torque point y of the existing TS curve A by the set value + a and a torque point y-a offset by the set value- 5, when the first learning point P1 is measured at a torque point y + c equal to or greater than the reference value (+ c), the virtual curve B and the virtual curve B The first learning point P1 and the position error, that is, the curve with the smallest stroke error among the three curves A, B, and C including the TS curve A and the two virtual curves B and C, (S140). For example, in FIG. 5, the virtual curve C is selected as a new TS curve because the stroke error S3 is the smallest (S140).

FIG. 7 shows a method of learning a TS curve according to another embodiment of the present invention.

Referring to FIG. 7, a method of learning a TS curve according to another embodiment of the present invention is a learning method for updating a torque-stroke curve representing a relationship between a stroke of a clutch and a transmission torque,

A virtual curve generation step (S200) of generating a plurality of virtual curves having different torque points at which a straight line section starts; And a TS curve selection step (S210) of measuring a learning point and selecting one of the existing TS curve and the plurality of virtual curves as a new TS curve based on the learning point.

FIG. 8 shows a TS curve learning apparatus according to another embodiment of the present invention.

The TS curve learning apparatus 100 according to another embodiment of the present invention includes a stroke information input unit 110 that receives stroke information of a clutch; A torque information input unit 120 receiving torque information of the engine; And

A learning curve generating unit for generating a virtual curve having a different torque point at which a straight line segment starts from an existing TS curve and setting a learning point by receiving the stroke information and the torque amount information, And a learning controller 130 for learning a TS curve.

The learning controller 130 may include a sleep information input unit 140 and a slip information input unit 140. The slip information input unit 140 receives slip amount information of the clutch between the engine and the transmission. And when the clutch is in the sleep state, the learning can be started.

The learning control of the TS curve by the learning controller 100 in the TS curve learning apparatus 100 according to the present embodiment is substantially the same as that described in the TS curve learning method described above. A detailed description thereof will be omitted.

The above description is only illustrative of the technical idea of the present invention, and various changes and modifications may be made by those skilled in the art without departing from the essential characteristics of the present invention.

The embodiments disclosed in the present invention are not intended to limit the scope of the present invention and are not intended to limit the scope of the present invention.

The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents should be construed as falling within the scope of the present invention.

100: TS curve learning device
110: Stroke information input section
120: torque information input section
130: Learning controller
140: Sleep information input section

Claims (16)

A learning method for updating a torque (Torque-stroke) curve representing a relationship between a stroke of a clutch and a transmission torque,
A learning condition determining step of determining whether a learning condition for learning a torque point at which a straight line section of a TS curve starts is satisfied;
A virtual curve generating step of generating a virtual curve having a different torque point at which a conventional TS curve and a straight line section start when the learning condition is satisfied; And
A TS curve selection step of measuring a first learning point and selecting one of the existing TS curve and the virtual curve as a new TS curve based on the first learning point;
/ RTI > The method according to claim 1,
Wherein the update condition determining step determines whether the update condition of the TS curve is satisfied before the learning condition determination step, wherein the update condition is a condition for assuring a stable state of the clutch. 3. The method of claim 2,
The update conditions include 1) the RPM of the engine is maintained within the set range, 2) the slip is maintained between the clutch and the engine, 3) the variation of the engine torque is within the set range, and 4) And a case where at least one of the cases is included. The method according to claim 1,
Wherein the learning condition is satisfied when the measured second learning point converges to a periphery of a torque point at which a straight line section of the existing TS curve starts. 5. The method of claim 4,
Wherein the periphery of the torque point is defined as a stroke interval of the set range and a torque interval of the set range. The method according to claim 1,
Wherein the learning condition is satisfied when a position error is located within a set range between a measured second learning point and a torque point at which a straight line section of the existing TS curve starts. The method according to claim 1,
Wherein the virtual curve generation step includes a plurality of virtual curves, and the plurality of virtual curves have different torque points at which a straight line section starts. 8. The method of claim 7,
Wherein the torque point at which the linear section of each of the plurality of virtual curves starts in the virtual curve generation step is offset from the torque point at which the linear section of the existing TS curve starts, Way. 9. The method of claim 8,
Wherein the slope of each of the plurality of virtual curves is set to have a relationship between the set value and a function. 9. The method of claim 8,
Wherein a stroke point of each of the plurality of virtual curves is set to have a relationship between the set value and a function. 8. The method of claim 7,
Wherein the selecting of the TS curve selects a curve having the smallest position error with the first learning point from the existing TS curve and the plurality of virtual curves as a new TS curve. The method according to claim 1,
Wherein the TS curve selection step starts the selection of the new TS curve when the first learning point is measured at a point above a reference value. 13. The method of claim 12,
Wherein the reference value is a torque value that is larger than a torque point at which a straight line section of the existing TS curve starts. A learning method for updating a torque (Torque-stroke) curve representing a relationship between a stroke of a clutch and a transmission torque,
A virtual curve generation step of generating a plurality of virtual curves having different torque points at which a straight line section starts; And
Measuring a learning point and selecting one of the existing TS curve and the plurality of virtual curves as a new TS curve based on the learning point;
/ RTI > A stroke information input unit for receiving stroke information of the clutch;
A torque information input unit for receiving torque information of the engine; And
A learning curve generating unit for generating a virtual curve having a different torque point at which a straight line segment starts from an existing TS curve and setting a learning point by receiving the stroke information and the torque amount information, A learning controller for learning a TS curve;
Wherein the TS curve learning apparatus comprises: 16. The method of claim 15,
And a slip information input unit for receiving slip amount information of the clutch between the engine and the transmission, wherein the learning controller analyzes the input slip amount information and starts learning when the clutch is in the slip state TS curve learning device.
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KR101509957B1 (en) * 2013-10-29 2015-04-07 현대자동차주식회사 Estimating method for characteristic of transmitting torque of dry type clutch
KR101755755B1 (en) 2013-12-17 2017-07-07 현대자동차주식회사 Clutch characteristic adjusting method for dct
KR101543994B1 (en) 2014-07-28 2015-08-13 콘티넨탈 오토모티브 시스템 주식회사 Apparatus and method for calibrating clutch curve of dual clutch transmission system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10619683B2 (en) 2017-11-06 2020-04-14 Hyundai Autron Co., Ltd. Method of learning torque-stroke relationship of clutch
KR20230098460A (en) 2021-12-25 2023-07-04 안희태 How things send text messages through the Internet and smartphones

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