KR101776454B1 - Method and Controller for Engine Clutch Learning and Vehicle thereby - Google Patents

Method and Controller for Engine Clutch Learning and Vehicle thereby Download PDF

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Publication number
KR101776454B1
KR101776454B1 KR1020160005144A KR20160005144A KR101776454B1 KR 101776454 B1 KR101776454 B1 KR 101776454B1 KR 1020160005144 A KR1020160005144 A KR 1020160005144A KR 20160005144 A KR20160005144 A KR 20160005144A KR 101776454 B1 KR101776454 B1 KR 101776454B1
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KR
South Korea
Prior art keywords
value
slope
difference
measured value
diagnosis
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KR1020160005144A
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Korean (ko)
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KR20170085697A (en
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최정완
서정우
김요한
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현대자동차주식회사
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W10/00—Conjoint control of vehicle sub-units of different type or different function
    • B60W10/02—Conjoint control of vehicle sub-units of different type or different function including control of driveline clutches
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W10/00—Conjoint control of vehicle sub-units of different type or different function
    • B60W10/04—Conjoint control of vehicle sub-units of different type or different function including control of propulsion units
    • B60W10/06—Conjoint control of vehicle sub-units of different type or different function including control of propulsion units including control of combustion engines
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W10/00—Conjoint control of vehicle sub-units of different type or different function
    • B60W10/30—Conjoint control of vehicle sub-units of different type or different function including control of auxiliary equipment, e.g. air-conditioning compressors or oil pumps
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W20/00—Control systems specially adapted for hybrid vehicles
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/02—Ensuring safety in case of control system failures, e.g. by diagnosing, circumventing or fixing failures

Abstract

In the engine clutch learning method of the present invention, the 3 POINT measurement value and the 3 POINT target value of the hydraulic system hydraulic pressure for engine clutch control are respectively detected by the controller, and the slope difference between the target value and the measurement value following application of the measurement value inclination difference, By distinguishing between the endurance offset diagnosis and the hydraulic system abnormality diagnosis from the normal, it is possible to distinguish the simple pressure offset and the hydraulic system abnormality during hardware endurance by learning about the 3 POINT relative slope of P (pressure) / I (current) , It is necessary to reflect the normal learning result when the range is within the range. In case of exceeding the range, diagnosis of the same phenomenon in the subsequent learning is avoided by diagnosing the abnormality, thereby avoiding over diagnosis and reducing the field failure rate by individualizing the hardware characteristics Is implemented.

Description

TECHNICAL FIELD [0001] The present invention relates to an engine clutch learning method, a controller and a vehicle,

The present invention relates to an engine clutch learning logic, and more particularly, to an engine clutch learning method and a controller and a vehicle, which filter out and diagnosis by learning using pressure profile linearity determination.

Generally, a hybrid electric vehicle (HEV) is operated in an EV mode (Electric Vehicle Mode) using only a motor as a power source or an HEV mode (Hybrid Electric Vehicle Mode) using an engine and a motor as a power source, And an engine clutch for connecting / disconnecting the engine and the motor for switching the HEV mode.

Particularly, the operating oil pressure of the engine clutch, which determines the operation of the engine clutch, is different from the engine clutch characteristic, the solenoid valve characteristic, the difference between the individual clutches of the engine clutch (component assembly tolerance, variation of the current vs. pressure characteristic of the solenoid valve, ) And the like. In one example, the deviation includes an offset deviation with respect to the torque transfer starting oil pressure, a gain deviation and a linearity deviation with respect to the transmission torque, and the deviation is not corrected properly through learning, the drivability of the hybrid vehicle, The operating oil pressure of the engine clutch, which largely affects performance and fuel efficiency, is inevitably affected.

To this end, the engine clutch utilizes the deviation learning logic to make an appropriate correction for the deviation, thereby ensuring the accuracy of the operating hydraulic pressure control of the engine clutch. Particularly, when the deviation between the measured pressure (sensor pressure) and the target pressure is more than a predetermined value, the engine clutch learning logic determines that the hydraulic system is abnormal, generates a DTC (Diagnostic Trouble Code) And the service lamp lighting for. Here, the DTC is data in which an error (Failure Status) that can be generated when the vehicle is running can be recorded. In the A / S, the mechanic uses the data of the DTC to determine whether the vehicle abnormality is caused by the full- It can easily be grasped whether it is due to a replacement part or a replacement part.

Domestic facility 10-2014-0079155 (June 26, 2014)

However, when the deviation between the measured pressure (sensor pressure) and the target pressure is more than a predetermined value, the engine clutch learning logic judges that the hydraulic system is abnormal, thereby generating the following reverse function.

For example, the OFFSET due to the pressure rise during the durability is also treated as a failure diagnosis. As a result, the nonlinear hydraulic behavior as well as the linear hydraulic pressure behavior system during the durability are inevitably diagnosed and the normal operation is prohibited.

In view of the above, the present invention filters the hybrid engine clutch abnormality association and diagnosis by performing learning using the pressure profile linearity determination of P (pressure) / I (current), thereby personalizing the hardware characteristics and increasing the failure rate And an object of the present invention is to provide an engine clutch learning method, a controller, and a vehicle that solve the inverse function of the engine clutch.

In order to achieve the above-mentioned object, the present invention provides an engine clutch learning method, comprising: a controller that detects a measured value and a target value of a hydraulic system hydraulic pressure for controlling an engine clutch, And the difference between the measured value and the target value_measured value with respect to the target value distinguishes between the normal diagnosis of the hydraulic system and the abnormal diagnosis of the hydraulic system.

In a preferred embodiment, the diagnosis is performed by: (A) comparing the measured value slope difference with a preset measured value slope; (B) when the measured value slope difference is not less than the set measured value slope, Measured value slope difference is compared with the set target value_measured value slope difference when the value slope difference is within the set measurement slope, (C) the target value_measure slope difference is compared with the set target value_measure value slope The hydraulic system abnormality diagnosis is performed. On the other hand, when the target value_measurement value inclination difference is within the set target value_measure value inclination difference, the normal diagnosis of the hydraulic system is performed and it is judged as the endurance offset.

As a preferred embodiment, the endurance offset determination of the hydraulic system normal diagnosis is stored as a result of engine clutch learning, while the hydraulic system malfunction diagnosis is stored as a result of engine clutch learning, and then the corresponding DTC code is generated as a diagnosis code. It lights up.

In order to achieve the above-mentioned object, the controller of the present invention makes the hydraulic system normal diagnosis when the measured value inclination difference is within the set measured value inclination, and again the target value _ measured value inclination difference is within the set target value_measured value inclination If it is determined that the normal diagnosis of the hydraulic system is an endurance offset diagnostic, the target value _measurement slope difference is set to the target value_measure when the difference of the measured value inclination is equal to or greater than the set measurement value inclination or the difference of the measured value inclination is within the set measurement value inclination And if it is judged that the value is equal to or greater than the value inclination difference, it is determined that the hydraulic system abnormality is diagnosed and the diagnostic code is generated and the service lamp is turned on.

In order to achieve the above object, according to the present invention, when the difference in the measured value inclination is within the set measured value inclination, the normal diagnosis of the hydraulic system is made and the target value_measurement value inclination difference is set within the set target value_measured value inclination If it is determined that the normal diagnosis of the hydraulic system is an endurance offset diagnostic, the target value _measurement slope difference is set to the target value_measure when the difference of the measured value inclination is equal to or greater than the set measurement value inclination or the difference of the measured value inclination is within the set measurement value inclination A controller for confirming the abnormality in the hydraulic system abnormality and generating a diagnostic code and turning on the service lamp if it is determined that the value is greater than the inclination value; An engine clutch controlled by a controller; Is included.

As a preferred embodiment, the controller is an HCU (Hybrid Control Unit) or an engine ECU (Electronic Control Unit), and the engine clutch is an EV mode (Electric Vehicle Mode) using only a motor as a power source, And controls the HEV mode (Hybrid Electric Vehicle Mode).

In the present invention, learning about the 3 POINT relative slope of P (pressure) / I (current) is performed, thereby preventing diagnosis of a vehicle in which a simple hydraulic offset occurs due to an increase in mileage of the vehicle, So that the failure rate is reduced and the AS cost is reduced.

FIG. 1 is a flowchart of an over-diagnosis filtering method engine clutch learning method performed in a vehicle to which a controller according to the present invention is applied. FIG. 2 is a diagram showing a simple pressure offset during endurance running of the hydraulic system according to the present invention, FIG. 3 is an example of the PI line generated by the fault diagnosis by judging that the hydraulic system according to the present invention is abnormal.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings, which illustrate exemplary embodiments of the present invention. The present invention is not limited to these embodiments.

Fig. 1 shows a procedure of an over-diagnosis filtering method engine clutch learning method according to the present embodiment. As shown in FIG. 3, the diagnostic learning method of the engine-clutch filtering method uses the engine clutch learning to compare the relative inclination of the three points to diagnose the abnormality and the normal state of the hydraulic system. In the normal diagnosis of the hydraulic system, , It is determined that the normal learning result is reflected by the simple pressure offset (offset) during the dura- tion of the hydraulic system in the normal state of the hydraulic system. On the other hand, Diagnosis has its characteristics.

Therefore, the above-described diagnostic filtering method engine clutch learning method can reduce the field failure rate by individualizing hardware characteristics while avoiding diagnosis of abnormality of the engine clutch. As a result, if the deviation between the measured pressure (sensor pressure) and the target pressure is more than a certain level, it is determined that the hydraulic system is abnormal. In order to protect the engine clutch, a DTC code called P1744 and a service engine In addition to the nonlinear hydraulic behavior which is a disadvantage of the clutch learning logic, the linear hydraulic pressure behavior system during the durability can also eliminate the role of preventing the normal drive and increasing the failure rate by generating the diagnosis.

Hereinafter, the diagnostic filtering method engine clutch learning method will be described in detail with reference to FIG. 2 and FIG. In this case, the engine clutch learning logic is implemented as a controller, and the controller is an engine ECU and an HCU that cooperatively control each other through HCU (Hybrid Control Unit) or engine ECU (Electronic Control Unit) The vehicle is operated in the EV mode (Electric Vehicle Mode), which uses the engine and the motor as the power sources, the NC (Normally close) type engine clutch, as the power source only, and the HEV mode (Hybrid Electric Vehicle Mode), which uses the engine and the motor as the power source. The hydraulic system for operating the engine clutch is an electric hydraulic actuator, and the sensor for detecting the measured value may be a hydraulic pressure sensor installed in the electric hydraulic actuator.

S10 is a step for starting engine clutch learning entry, and S20 is a step for detecting a target value and a measured value. To this end, the controller reads the sensor signal that detects the oil pressure of the hydraulic system associated with the engine clutch, determines the sensor value defined by the measured value, and reads the set target pressure to determine the target value.

S30 and S40 are the hydraulic system end offset preliminary diagnosis, and S50 and S60 are the hydraulic system end offset confirmation diagnosis, respectively.

S30 is a step of detecting a measured value linearity determining factor, and S40 is a step of determining whether or not the measured value linearity is maintained as a detection factor. Referring to FIG. 2, the controller detects 3 POINT measured values corresponding to the 3 POINT target value, and outputs the 3 POINT measured values to the first, second, and third target values 1-1, The first, second and third target values (1-1, 2-1, 3-1) and the first, second and third measured values (1,2, , 3) within a certain range. Here, the slope is defined as a slope of the measured value. In this case, Equation (1) is applied.

Equation 1: │ k MES (i- 1, i) - k MES (i-1, i + 1) │ <β, k (i-1, i) = (P i -P i-1) / ( I i -I i-1 )

Here, ││ absolute value, k is a MES inclination measurement value, i is an integer including 1, β is set and measured value the slope, k is the slope of P and I, P is the engine and clutch operating oil pressure, I Is the supply current, and <represents the magnitude relationship of the two values as the inequality.

Of S40 it determined that the measured value a difference between the slope │ k MES (i-1, i) - if k MES (i-1, i + 1) │ is greater than the first, second and third measured value β (1, 2, 3) is determined to be a cause of a deviation of more than a certain level with respect to the target value, so that the diagnosis of the hydraulic system abnormality of S100 is made. On the other hand, the measurement value of the slope car │ k MES (i-1, i) - a k MES (i-1, i + 1) │ the S50 to the hydraulic system of the duration offset confirmed diagnosis is determined to be smaller than β hydraulic system is normal Enter.

S50 is a step of detecting a slope determination factor of a target value and a measured value, and S60 is a step of determining whether a target value and a measured value are maintained in a slope rule within a certain range. 3, the controller calculates the slope of the first, second and third target values (1-1, 2-1, 3-1) and the slope of the first, second and third measured values And determines whether the slope difference is within a certain range. Here, the inclination difference is defined as a difference between a target value and a measured value inclination. In this case, Equation (2) is applied.

Equation 2: │ k MES (i- 1, i + 1) - k TAG (i-1, i + 1) │ <γ

Where k TAG is the target value slope, γ is the set target value_measurement value slope difference, and <is the inequality sign indicating the magnitude relationship between the two values.

Of S50 determined that the target value of the measured value _ slope car │ k MES (i-1, i + 1) - if k TAG (i-1, i + 1) │ γ is greater than the first, second and third measured value (1, 2, 3) is determined to be a cause of a deviation of more than a certain level with respect to the target value, so that the diagnosis of abnormality of hydraulic system in S100 is made. On the other hand, the target value _ measured value slope car │ k MES (i-1, i + 1) - and enters the k TAG (i-1, i + 1) if │ is less than γ is determined by the hydraulic system is normal S70.

S70 and S80 are learning procedures according to the normal hydraulic system, and S100 is a learning procedure according to the hydraulic system abnormality, respectively.

As shown in S70 it is determined the hardware durability progress simple pressure offset controller is set within the measurement value of the slope (β) and the target value and the tilt within set of measurements for a train (γ) in hardware durability progress simple pressure offset, and the engine clutch as S80 And then the engine clutch learning procedure is terminated.

On the other hand, the controller determines the above hydraulic system, such as S100 may be set to at least the measured value inclination (β) and the target value and the above set of measurement values, and the tilted train (γ) less than a hydraulic system, a diagnostic code, a P1744 DTC code as S110 (DTC), and then the service lamp is turned on as in S120 to induce the driver to perform the A / S check.

As described above, in the over-diagnosis filtering method engine clutch learning method according to the present embodiment, the 3 POINT measurement value and the 3 POINT target value of the hydraulic system oil pressure for engine clutch control are respectively detected by the controller, and after the application of the measurement value inclination difference The difference between the slope of the target value and the measured value distinguishes between the end offset diagnosis and the hydraulic system fault diagnosis at the top of the hydraulic system so that learning of the 3 POINT relative slope of P (pressure) / I (current) Hydraulic system abnormality is discriminated, and in particular, the reference value for slope value difference is applied to reflect the normal learning result within the range, and if abnormal, Decrease field failure rate by individualizing hardware characteristics.

1,2,3: 1st, 2nd and 3rd measurement values
1-1,2-1,3-1: 1st, 2nd and 3rd target values

Claims (13)

Wherein the controller measures a measured value and a target value of the hydraulic system hydraulic pressure for engine clutch control, and calculates a hydraulic pressure difference between the measured value and a target value_measurement value slope difference with respect to the target value following application of the measured value slope difference to the measured value, Wherein the system normal diagnosis and the hydraulic system abnormality diagnosis are distinguished from each other.
The engine clutch learning method according to claim 1, wherein the measurement value inclination difference and the target value_measure value inclination difference are applied with a measured value and a target value of 3 POINT.
The hydraulic system according to claim 1, wherein the dura- tion offset diagnosis of the normal diagnosis of the hydraulic system includes (A) comparing the measured value slope difference with a preset measured value slope, (B) if the measured value slope difference is equal to or greater than the set measured value slope, Measured value slope difference is within the slope of the set measurement value, and the target value_measure value slope difference is compared with the set target value_measured value slope difference, (C) when the target value_measure value slope difference is less than the set If the target value_measurement value inclination difference is within the set target value_measure value inclination difference, the normal diagnosis of the hydraulic system is made and it is judged as the endurance offset and is performed Wherein the first clutch is engaged with the clutch.
4. The method of claim 3, wherein the determination of the measured value slope difference
│ k MES (i-1, i) - k MES (i-1, i + 1) │ <β, k (i-1, i) = (P i -P i-1) / (I i -I i is an absolute value, k MES is a slope of the measured value, i is an integer including 1, β is a slope of the set measurement value, k is the slope of P and I, Is a clutch operating oil pressure, I is a supply current, and < is an inequality indicating a magnitude relationship of two values.
delete 4. The method of claim 3, wherein the determination of the target value measurement value inclination
│ k MES (i-1, i + 1) - k TAG (i-1, i + 1) │ <γ, k (i-1, i) = (P i -P i-1) / (I i -I i-1 ), where ││ is the absolute value, k MES is the slope of the measured value, k TAG is the target value slope, i is an integer including 1, and γ is the set target value _ Wherein k is the slope of P and I, P is the engine clutch operating hydraulic pressure, I is the supply current, and < is an inequality indicating a magnitude relationship of the two values.
delete 4. The method of claim 3, wherein the end offset diagnosis of the hydraulic system normal diagnosis is stored as a result of engine clutch learning.
4. The engine clutch learning method according to claim 3, wherein the hydraulic system malfunction diagnosis is stored as a result of engine clutch learning, the DTC code is generated as a diagnostic code, and the service ramp is turned on.
A controller for performing an engine clutch learning method according to any one of claims 1 to 4, claim 6, claim 8 and claim 9.
An engine clutch controlled by a controller according to claim 10;
&Lt; / RTI &gt;
12. The vehicle according to claim 11, wherein the controller is an HCU (Hybrid Control Unit) or an engine ECU (Electronic Control Unit). 12. The vehicle according to claim 11, wherein the engine clutch controls an EV mode (Electric Vehicle Mode) using only a motor as a power source or an HEV mode (Hybrid Electric Vehicle Mode) using an engine and a motor as a power source.
KR1020160005144A 2016-01-15 2016-01-15 Method and Controller for Engine Clutch Learning and Vehicle thereby KR101776454B1 (en)

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KR101776454B1 true KR101776454B1 (en) 2017-09-19

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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101519797B1 (en) 2014-08-28 2015-05-12 현대자동차주식회사 Robust control method for engine clutch of hybrid electric vehicle

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101519797B1 (en) 2014-08-28 2015-05-12 현대자동차주식회사 Robust control method for engine clutch of hybrid electric vehicle

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