CN116085463A - Clutch solenoid valve P-I curve self-learning method and system of hybrid transmission - Google Patents
Clutch solenoid valve P-I curve self-learning method and system of hybrid transmission Download PDFInfo
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- CN116085463A CN116085463A CN202310000189.3A CN202310000189A CN116085463A CN 116085463 A CN116085463 A CN 116085463A CN 202310000189 A CN202310000189 A CN 202310000189A CN 116085463 A CN116085463 A CN 116085463A
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- 230000005540 biological transmission Effects 0.000 title claims abstract description 39
- 238000000034 method Methods 0.000 title claims abstract description 33
- 230000006641 stabilisation Effects 0.000 claims abstract description 3
- 238000011105 stabilization Methods 0.000 claims abstract description 3
- 230000014509 gene expression Effects 0.000 claims description 12
- 230000007935 neutral effect Effects 0.000 claims description 3
- 230000006870 function Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 230000009471 action Effects 0.000 description 1
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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
- F16H61/26—Generation or transmission of movements for final actuating mechanisms
- F16H61/28—Generation or transmission of movements for final actuating mechanisms with at least one movement of the final actuating mechanism being caused by a non-mechanical force, e.g. power-assisted
- F16H61/30—Hydraulic or pneumatic motors or related fluid control means therefor
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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
- 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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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/62—Hybrid vehicles
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- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Control Of Transmission Device (AREA)
- Hydraulic Clutches, Magnetic Clutches, Fluid Clutches, And Fluid Joints (AREA)
Abstract
The invention discloses a clutch electromagnetic valve P-I curve self-learning method and system of a hybrid transmission, comprising the following steps: s10: checking whether P-I self-learning meets a trigger condition; if yes, executing S20, otherwise, exiting; s20: requesting to open the clutch, and judging whether the clutch is open and has no fault; if yes, executing S30, otherwise, exiting; s30: requesting a preset current value Ii for a clutch electromagnetic valve, and waiting for pressure stabilization after the feedback current reaches a target preset value; s40: recording a stable pressure value; s50: judging whether the recorded points meet the requirements of k points, if so, executing S60, otherwise, returning to S20; s60: extracting recorded data and performing linear fitting; s70: judging whether the fitting goodness of the linear fitting is in a set range, if so, executing S80, otherwise, exiting; s80: the linear gain and intercept are preserved. The invention reduces the self-learning time of the clutch electromagnetic valve characteristic data.
Description
Technical Field
The invention belongs to the technical field of hybrid power transmissions, and particularly relates to a self-learning method and a self-learning system for a P-I curve of a clutch electromagnetic valve of a hybrid power transmission.
Background
The automatic transmission adopts a clutch to transmit torque of the power assembly, and the transmission control of the clutch torque is realized through the control of a clutch electromagnetic valve; the characteristic curve (P-I curve) of the request current and the feedback pressure of the electromagnetic valve is used as a control parameter to directly influence the control function of the transmission, including starting, creeping, gear shifting and the like. The self-learning method and system of the electromagnetic valve characteristic curve of the double clutch automatic transmission disclosed in patent document CN112901770A adopts a point searching method, namely, the set current I and pressure P of the clutch electromagnetic valve are recorded to form data points, so that the P-I characteristic curve is directly updated. However, the method needs to collect more data points to enable the learned characteristic curve to be more consistent with the actual characteristic curve; if the number of the sampling points is small, the result is greatly deviated from the actual characteristic curve, and the control effect of the clutch torque is poor.
Therefore, there is a need to develop a new clutch solenoid P-I curve self-learning method and system for a hybrid transmission.
Disclosure of Invention
The invention aims to provide a self-learning method and a self-learning system for a clutch electromagnetic valve P-I curve of a hybrid transmission, which can improve the accuracy and effectively reduce the self-learning time of clutch electromagnetic valve characteristic data.
In a first aspect, the self-learning method for the P-I curve of the clutch electromagnetic valve of the hybrid transmission comprises the following steps:
s10: checking whether P-I self-learning meets a trigger condition; if the trigger condition is met, executing S20, otherwise, exiting self-learning;
s20: requesting to open the clutch and judging whether the clutch is open and has no fault; if the condition is met, executing S30, otherwise, exiting self-learning;
s30: after determining that the clutch is in an open state, requesting a preset current value Ii for a clutch electromagnetic valve, and waiting for pressure stabilization after the feedback current reaches a target preset value;
s40: acquiring an actual clutch pressure value Pi corresponding to a preset current Ii, and recording a stabilized pressure value;
s50: judging whether the recorded points meet the requirements of k points, if so, executing S60, otherwise, returning to S20;
s60: extracting the recorded data and performing linear fitting;
s70: judging whether the fitting goodness of the linear fitting is in a set range, if so, executing S80, otherwise, exiting self-learning;
s80: after power down, the linear gain g and intercept h of this time are stored.
Optionally, the triggering condition includes:
the P-I self-learning request instruction is true;
all gear shifting forks of the transmission are in neutral positions;
the oil temperature of the transmission is 50 ℃ and the pressure of the main oil way is 45bar 45.
Optionally, the requesting the preset current value Ii for the electromagnetic valve means that the current starts to be requested from 0mA, the current is requested to the target preset current Ii according to the preset slope, when the requested current value reaches the preset current value, the request of the current value Ii is kept, and after waiting for d period times, the clutch pressure is kept stable.
Optionally, sequentially requesting a preset current value, I1, I2, I3, I4, for the clutch solenoid valve; i1, I2, I3 and I4 are 600mA, 900mA, 500mA and 1000mA respectively in sequence.
Optionally, the extracting the recorded data performs linear fitting, specifically:
unifying the recorded data points into the same coordinate system, denoted as (x i ,y i ) I=1, 2,3,..k, where x is i Represents clutch solenoid current, y i Representing clutch pressure, k is the total number of data points, setting the fitted functional expression as y=h+gx, and calculating the linear gain g and intercept h from the linear least squares method will satisfy the following expression:
wherein ,
and />
For the average value, the following expressions are satisfied, respectively:
alternatively, regression coefficient R is used 2 Judging the goodness of fit of the linear fitting, and satisfying the following expression:
wherein, SSR is regression square sum, SST is total square sum, specifically, the following relations are satisfied:
wherein ,
is x i Substituting regression equation y=h+gx gives an estimate of y.
Optionally, after power down, the linear gain g and intercept h at this time are stored in the TCU non-volatile memory.
Optionally, d is 50.
Optionally, m is 4.
In a second aspect, the self-learning system for the P-I curve of the clutch solenoid valve of the hybrid transmission according to the present invention includes a memory and a controller, wherein a computer readable program is stored in the memory, and the computer readable program can execute the steps of the self-learning method for the P-I curve of the clutch solenoid valve of the hybrid transmission according to the present invention when called by the controller.
The invention has the following advantages: according to the invention, limited data are collected and subjected to linear fitting, so that the accuracy is improved, and the self-learning time of the characteristic data of the clutch electromagnetic valve can be effectively reduced.
Drawings
FIG. 1 is a schematic illustration of a hydraulic system employing a hybrid transmission of the present invention;
FIG. 2 is a flow chart of an embodiment of the present invention;
FIG. 3 is a schematic diagram of a clutch solenoid current request to which the present invention is applied;
FIG. 4 is a schematic diagram of a clutch solenoid pressure and current fitting scheme employing the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the hydraulic system applied to the hybrid transmission of the present invention mainly includes a filter F1, an accumulator ACC, a solenoid valve V0 (for controlling a clutch C0), a solenoid valve V1 (for controlling a clutch C1), a solenoid valve V2 (for controlling a clutch C2), a pressure sensor P0, a pressure sensor P1, a pressure sensor P2, and the like. The transmission control unit TCU performs real-time control on the solenoid valve V0, the solenoid valve V1, the solenoid valve V2, the accumulator charge control valve R2, and the like, to achieve control of clutch pressure. The oil pressure of the accumulator ACC is charged by controlling the accumulator charge control valve R2 and the electronic oil pump M, and the accumulator charge control valve R2 needs to control the pressure of the accumulator ACC between 45bar and 55 bar. The check valve CV is used to maintain accumulator ACC pressure and prevent oil in the accumulator ACC from flowing back. The high-pressure overflow valve R1 is used for protecting a system, and can effectively avoid the problem of system overpressure caused by failure of the accumulator charging control valve R2. The accumulator ACC can maintain stable oil circuit pressure to meet the action requirements of gear shifting, clutch separation or combination and the like, and when the pressure of the accumulator ACC meets the requirements, the electromagnetic valve V0, the electromagnetic valve V1 and the electromagnetic valve V2 are controlled to respectively realize the combination, disconnection and the like of the clutch C0, the clutch C1 and the clutch C2, so that the torque transmission is realized.
The clutch C0, the clutch C1 and the clutch C2 are functionally different, the clutch C0 mainly functions to start the engine, and the clutch C1 and the clutch C2 mainly function to input the torque of the front motor or the engine into the gearbox through the clutch C1 and the clutch C2 and then transmit the torque to wheels through the differential. The control of the three clutches is achieved by the control of the hydraulic system by the transmission control unit TCU. The corresponding three clutch solenoid valves are described below with respect to a self-learning method of the solenoid valve characteristic curve for one clutch, and the self-learning methods of the solenoid valve characteristic curves of the other two clutches are the same.
As shown in fig. 2, a self-learning method for a clutch solenoid valve P-I curve of a hybrid transmission includes the following steps:
s10: checking whether P-I self-learning meets a trigger condition; if the trigger condition is satisfied, S20 is executed, otherwise, the self-learning is exited.
The triggering conditions comprise: the P-I self-learning request instruction is true; all gear shifting forks of the transmission are in neutral positions; the oil temperature of the transmission is in the range of [50 ]. DEG C, and the pressure of the main oil way is in the range of [45 ] bar.
The P-I self-learning request instruction refers to a request instruction input through an external control system, such as a diagnostic instrument or an upper computer, in the offline process.
S20: requesting to open the clutch and judging whether the clutch is open and has no fault; if the condition is satisfied, S30 is executed, otherwise, the self-learning is exited.
S30: after the clutch is determined to be in an open state, a preset current value Ii is requested for the clutch electromagnetic valve, and after the feedback current reaches a target preset value, the pressure is waited for to be stable.
Requesting a preset current value Ii for the electromagnetic valve means that current is requested from 0mA, requesting to a target preset current Ii according to a preset slope, and maintaining the current value Ii when the requested current value reaches the preset current value. After waiting d cycles, the oncoming clutch pressure stabilizes, in this embodiment, 50 cycles are preferred, as shown in FIG. 3.
S40: and acquiring an actual clutch pressure value Pi corresponding to the preset current Ii, and recording the stabilized pressure value.
S50: and judging whether the recorded points meet the requirement of k points (the value of m is 4), if so, executing S60, otherwise, returning to S20. The method comprises the following steps: the preset current values I1, I2, I3, I4, which are sequentially requested, are preferably 600mA, 900mA, 500mA, 1000mA, respectively.
S60: extracting the recorded data for linear fitting, as shown in fig. 4;
specifically, the above data points are unified into the same coordinate system, expressed as (x) i ,y i ) I=1, 2,3,..k, where x is i Represents clutch solenoid current, y i Representing clutch pressure, k is the total number of data points, where the total number of data points k is preferably 4. Setting the fitted function expression as y=h+gx, calculating the linear gain g and intercept h from the linear least squares method will satisfy the following expression:
wherein ,
and />
For the average value, the following expressions are satisfied, respectively:
s70: and judging whether the fitting goodness of the linear fitting is in a set range, if so, executing S80, otherwise, exiting the self-learning, and preferably, setting the range to be more than or equal to 0.95.
Specifically, regression coefficient R is used 2 Judging the goodness of fit of the linear fitting, and satisfying the following expression:
wherein, SSR is regression square sum, SST is total square sum, specifically, the following relations are satisfied:
wherein ,
is x i Substituting regression equation y=h+gx gives an estimate of y.
S80: after power down, the linear gain g and intercept h at this time are stored in the TCU non-volatile memory NVM.
By implementing the steps S10 to S80, the P-I characteristic curve of the clutch solenoid valve is obtained, and the method is suitable for the whole life cycle, and meets the purpose of the invention.
According to the invention, the linear gain and intercept of the P-I curve are obtained by collecting different clutch solenoid valve currents and pressures thereof and a fitting method is utilized, and the learning result is judged and stored, so that each speed changer has unique characteristic data.
In this embodiment, a system for self-learning a curve of a clutch solenoid valve P-I of a hybrid transmission includes a memory and a controller, wherein a computer readable program is stored in the memory, and the computer readable program can execute the steps of the self-learning method of the curve of the clutch solenoid valve P-I of the hybrid transmission as described in this embodiment when the computer readable program is called by the controller.
It should be noted that the above embodiments are not intended to limit the present invention, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. The self-learning method for the clutch electromagnetic valve P-I curve of the hybrid transmission is characterized by comprising the following steps of:
s10: checking whether P-I self-learning meets a trigger condition; if the trigger condition is met, executing S20, otherwise, exiting self-learning;
s20: requesting to open the clutch and judging whether the clutch is open and has no fault; if the condition is met, executing S30, otherwise, exiting self-learning;
s30: after determining that the clutch is in an open state, requesting a preset current value Ii for a clutch electromagnetic valve, and waiting for pressure stabilization after the feedback current reaches a target preset value;
s40: acquiring an actual clutch pressure value Pi corresponding to a preset current Ii, and recording a stabilized pressure value;
s50: judging whether the recorded points meet the requirements of k points, if so, executing S60, otherwise, returning to S20;
s60: extracting the recorded data and performing linear fitting;
s70: judging whether the fitting goodness of the linear fitting is in a set range, if so, executing S80, otherwise, exiting self-learning;
s80: after power down, the linear gain g and intercept h of this time are stored.
2. The self-learning method of the clutch solenoid valve P-I curve of the hybrid transmission according to claim 1, characterized in that: the triggering conditions include:
the P-I self-learning request instruction is true;
all gear shifting forks of the transmission are in neutral positions;
the oil temperature of the transmission is 50 ℃ and the pressure of the main oil way is 45bar 45.
3. The clutch solenoid valve P-I curve self-learning method of a hybrid transmission according to claim 1 or 2, characterized in that: the step of requesting the preset current value Ii for the electromagnetic valve means that the current starts to be requested from 0mA, the current is requested to the target preset current Ii according to the preset slope, the current value Ii is kept when the current value reaches the preset current value, and the clutch pressure is kept stable after waiting for d period time.
4. The self-learning method of the clutch solenoid valve P-I curve of the hybrid transmission according to claim 3, characterized in that: sequentially requesting preset current values, I1, I2, I3 and I4, for the clutch solenoid valve; i1, I2, I3 and I4 are 600mA, 900mA, 500mA and 1000mA respectively in sequence.
5. The self-learning method of the clutch solenoid valve P-I curve of the hybrid transmission according to claim 4, wherein: and extracting the recorded data, and performing linear fitting, wherein the method specifically comprises the following steps:
unifying the recorded data points into the same coordinate system, denoted as (x i ,y i ) I=1, 2,3,..k, where x is i Represents clutch solenoid current, y i Representing clutch pressure, k is the total number of data points, setting the fitted functional expression as y=h+gx, and calculating the linear gain g and intercept h from the linear least squares method will satisfy the following expression:
wherein ,
and />
For the average value, the following expressions are satisfied, respectively:
6. the self-learning method of the clutch solenoid valve P-I curve of the hybrid transmission according to claim 5, wherein: by regression coefficient R 2 Judging the goodness of fit of the linear fitting, and satisfying the following expression:
wherein, SSR is regression square sum, SST is total square sum, specifically, the following relations are satisfied:
wherein ,
is x i Substituting regression equation y=h+gx gives an estimate of y.
7. The self-learning method of the clutch solenoid valve P-I curve of the hybrid transmission according to claim 6, characterized in that: after power down, the linear gain g and intercept h at this time are stored in the TCU nonvolatile memory.
8. The self-learning method of the clutch solenoid valve P-I curve of the hybrid transmission according to claim 3, characterized in that: the d is 50.
9. The self-learning method of the clutch solenoid valve P-I curve of the hybrid transmission according to claim 1, characterized in that: and k is 4.
10. A clutch electromagnetic valve P-I curve self-learning system of a hybrid transmission is characterized in that: comprising a memory and a controller, wherein the memory stores a computer readable program which, when invoked by the controller, is capable of performing the steps of the method for self-learning the P-I curve of the clutch solenoid valve of a hybrid transmission according to any one of claims 1 to 9.
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| CN202310000189.3A CN116085463A (en) | 2023-01-02 | 2023-01-02 | Clutch solenoid valve P-I curve self-learning method and system of hybrid transmission |
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| CN202310000189.3A CN116085463A (en) | 2023-01-02 | 2023-01-02 | Clutch solenoid valve P-I curve self-learning method and system of hybrid transmission |
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| CN112228472A (en) * | 2020-10-14 | 2021-01-15 | 南昌智能新能源汽车研究院 | Control method of clutch electromagnetic valve |
| CN112901770A (en) * | 2021-01-15 | 2021-06-04 | 重庆长安汽车股份有限公司 | Self-learning method and system for electromagnetic valve characteristic curve of double-clutch automatic transmission |
| CN113586686A (en) * | 2021-08-31 | 2021-11-02 | 重庆长安汽车股份有限公司 | Self-adaptive adjustment method and device for characteristic curve of clutch |
| CN113969948A (en) * | 2020-07-23 | 2022-01-25 | 蜂巢传动科技河北有限公司 | Clutch pressure self-learning method and device, storage medium and automobile |
-
2023
- 2023-01-02 CN CN202310000189.3A patent/CN116085463A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050125129A1 (en) * | 2003-11-27 | 2005-06-09 | Kim Hoe G. | System and method for controlling an automatic transmission |
| US20140129104A1 (en) * | 2012-11-08 | 2014-05-08 | Kia Motors Corporation | Method and system for learning operation of engine clutch of hybrid vehicle |
| CN106438763A (en) * | 2016-12-14 | 2017-02-22 | 安徽江淮汽车集团股份有限公司 | Self-learning method and system for pressure-current characteristics of wet clutch |
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