CN101655149B - Stable slowly-advancing quickly-withdrawing self-learning shift mechanical automatic gearbox control system - Google Patents
Stable slowly-advancing quickly-withdrawing self-learning shift mechanical automatic gearbox control system Download PDFInfo
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- CN101655149B CN101655149B CN2008101070010A CN200810107001A CN101655149B CN 101655149 B CN101655149 B CN 101655149B CN 2008101070010 A CN2008101070010 A CN 2008101070010A CN 200810107001 A CN200810107001 A CN 200810107001A CN 101655149 B CN101655149 B CN 101655149B
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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
Abstract
The invention disclose a novel mechanical automatic gearbox control system. The system employs safety signal in vehicle for auxiliary control, when human, animal, or barriers exist at behind, the gearbox control system immediately stops to supply power for withdrawing so as to stop the vehicle with a brake system. In condition of advancing, when approval other controllers in the vehicle find it is needed to quickly decelerate, the automatic gearbox control system is informed to determine change into low shift engine as load to decelerate according to particular condition, the clutch is separated to avoid effect of the inertia of the engine to the vehicle to quickly decelerate. The stable slowly-advancing quickly-withdrawing self-learning shift strategy complete full-automation with two parts of: stable slowly-advancing self-learning shift strategy and stable quickly-withdrawing self-learning shift strategy. The invention defines a function of clutch separation distance d and time t, and a function of output shaft slip difference h and time t, and stable slowly-advancing quickly-withdrawing self-learning method and parameter selection.
Description
Technical field
The present invention relates to mechanical automatic gearbox and control, relate in particular to a kind of mechanical automatic gearbox control system with the stabilizing phase self-learning shift.
Background technique
Mechanical automatic gearbox can be divided into hydraulic type and the large class of electrodynamic type two by the difference of operating mechanism, and their existence is all in order to alleviate driver's labor intensity, to raise the efficiency.The mechanical automatic gearbox of hydraulic type is to come the engagement of switching gear train with hydraulic pressure installation, and DYN dynamic mechanical automatic gearbox is to come the engagement of switching gear train with Electric actuator such as motor or electromagnet.Because the structure of mechanical automatic gearbox is simply more a lot of than traditional automatic transmission case, cost is low and more and more used.But, no matter be which kind of mechanical automatic gearbox, they all less than traditional hydraulic type automatic transmission case, thereby all are inferior to traditional hydraulic type automatic transmission case aspect driving comfort on shift quality.Reason is that the wearing and tearing of friction factor, gear-shifting actuating mechanism of intensity, platen pressure, the friction plate of clutch spring and variation, road grade and the coefficient of road adhesion of aging, temperature variation, the speed of a motor vehicle and engine speed are all changing.These variations have considerable influence to gearbox gear-shift, and different requirements is also arranged under different situations.In mechanical automatic gearbox control system now, mostly adopt fixing shift time table.This makes in many cases shift time very long, shakes greatlyr, and noise is large, and travelling comfort is poor, and the gearbox life-span is short.The present invention adopts stable slowly-advancing quickly-withdrawing self-learning shift strategy to improve shift quality.The raising of shift quality not only improves driving comfortability, and the life-span of gearbox is also extended.
Summary of the invention
The objective of the invention is to solve the deficiency of above-mentioned background technology, propose a kind of novel control strategy.Use the mechanical automatic gearbox control system skeleton diagram of this control strategy as shown in Figure 1.It has comprised signal processing center 110, calculates decision center 120, diagnoses security center 140 and drives implementation center's 130 four major parts such as grade.The input signal of signal processing center 110 as shown in Figure 2.Distinguished have adopted reversing safety signal 210, safe reduce-speed sign 220 in this invention, and the input of gradient signal 230 increases travel safety and makes on the ramp that to start car very easy.Drive the output signal of implementation center 130 as shown in Figure 3.Calculate the block diagram of decision center 120 as shown in Figure 4.The function of calculating decision center has determined control performance and the quality of automatic gearbox control system, and this is core of the present invention.This calculating decision center has been used modular design, has adopted the optimization textural association.Especially shift quality assessment 410 and the Parameter Self-learning 420 of dynamic optimization part make this control system be better than general automatic gearbox control system.But its advantage is the change of open system system for tracking parameter and automatically optimizing again, thereby makes automatic gearbox control system under different situations, comprises agingly, and wearing and tearing still can have good shift quality later.
Description of drawings
Fig. 1 is AMT control system block diagram of the present invention;
Fig. 2 is AMT input structure figure of the present invention;
Fig. 3 is AMT export structure figure of the present invention;
Fig. 4 is AMT control structure figure of the present invention;
Embodiment
Adding of reversing safety signal 210 and safe reduce-speed sign is for the safety traffic of automobile has improved a level.Safety signal can be the output signal of the parking assist systems such as radar, ultrasound or video.When there were people and animals or obstacle in the back, what gearbox control system can be done was exactly to withdraw from as early as possible reverse gear shift, stopped immediately to the power that falls after vehicle body provides, and was convenient to the brake system automobile that stops as early as possible.
Similar with the reversing situation, in the situation of advancing, extraneous controller when approval, as engine control system, chassis control system, the discoveries such as Ride Control System need rapid deceleration can notify automatic gearbox control system to determine as the case may be that automatically change down makes load with motor and subtract the speed of a motor vehicle, or the inertia that declutches to avoid motor slows down as early as possible on the impact of automobile.
Stable slowly-advancing quickly-withdrawing self-learning shift strategy is divided into the full-automation that the two large divisions completes gearshift procedure: stable delaying into self-learning shift strategy and the stable anxious self-learning shift strategy that moves back.To delay into self-learning shift strategy and the stable anxious self-learning shift strategy that moves back be all with the function of time t with combine to define with the function of time t with the input and output shaft slip difference h with clutch separation distance d for stable.For stablizing to delay into its function definition of self-learning shift strategy be:
d
j(t)＝a
j1+b
j1t+c
j1t
2+d
j1t
3 (1)
h
j(t)＝a
j2+b
j2t+c
j2t
2+d
j2t
3 (2)
For exigent system, d
jFunction and h
jFunction can also be got the more high order variable of t, but for the amount of calculation that reduces control system with reduce costs, 3 rank of getting the time are that variable is enough.For the very tight system of cost requirement, 2 rank of even only getting the time are variable.
Constant a in function
j1, b
j1, c
j1, d
j1And a
j2, b
j2, c
j2, d
j2It is all the variable quantity of wanting self study.
Moving back its function definition of self-learning shift strategy for stable urgency is:
d
t(t)＝a
t1+b
t1t+c
t1t
2+d
t1t
3 (3)
h
t(t)＝a
t2+b
t2t+c
t2t
2+d
t2t
3 (4)
For exigent system, d
tFunction and h
tFunction can also be got the more high order variable of t, but for the amount of calculation that reduces control system with reduce costs, 3 rank of getting the time are that variable is enough.For the very tight system of cost requirement, 2 rank of even only getting the time are variable.
Constant a in function
t1, b
t1, c
t1, d
t1And a
t2, b
t2, c
t2, d
t2It is all the variable quantity of wanting self study.
The learning process of the variable quantity of each self study is very important, learns bad meeting and makes system move towards unstable.The present invention adopts the stable slowly-advancing quickly-withdrawing self-learning strategy reliable and stable to guarantee said system.An automatic Scientific evaluation is arranged with the optimality of the variable quantity of definite existing self study for the gearshift procedure under a certain specified conditions.For the situation of best property of automatic shft, the variable quantity of its self study is wanted weighting study, and for the not good situation of property of automatic shft, the variable quantity of its self study will subtract power study, for out of order situation, does not learn.For clutch close and from procedural learning also adopt different convergence rates: slowly-advancing quickly-withdrawing.
x
j+1＝x
j+(x
ideal-x
j)*(K
1+K
2)+K
3*e
(xideal-xj)*K4 (5)
x
IdealThe optimum value of variable quantity, K
1, K
4, K
3And K
2Be constant, determined by systematic parameter.This is to learn by a nonlinear function of the gap of actual value and ideal value.Corresponding constant when the corresponding constant ratio when moving back advances more greatly.For balance convergence and fast, the corresponding constant when moving back be generally into the time 2 to 3 times.
Claims (5)
1. a stable slowly-advancing quickly-withdrawing self-learning shift mechanical automatic gearbox control system, comprise hardware and software; It is characterized in that, described control system comprises signal processing center (110) in hardware and control strategy, calculates decision center (120), diagnoses security center (140), and drives implementation center's (130) four major parts; Described hardware has micro computer and with the input circlult of reversing safety signal (210) and safe reduce-speed sign (220); Described control strategy is determined to automatically switch to neutral gear by reverse gear according to reversing safety signal (210); Described control strategy is determined automatically switched to neutral gear or changed to low grade and carry out the engine load deceleration by forward gears according to safe reduce-speed sign (220);
Stable slowly-advancing quickly-withdrawing self-learning shift strategy is divided into the full-automation that the two large divisions completes gearshift procedure: stable delaying into self-learning shift strategy and the stable anxious self-learning shift strategy that moves back;
To delay into self-learning shift strategy and the stable anxious self-learning shift strategy that moves back be all with the function of time t with combine to define with the function of time t with the input and output shaft slip difference h with clutch separation distance d for stable; For stablizing to delay into its function definition of self-learning shift strategy be:
d
j(t)＝a
j1+b
j1t+c
j1t
2+d
j1t
3 (1)
h
j(t)＝a
j2+b
j2t+c
j2t
2+d
j2t
3 (2)
Constant a in function
j1, b
j1, c
j1, d
j1And a
j2, b
j2, c
j2, d
j2It is all the variable quantity of wanting self study;
Moving back its function definition of self-learning shift strategy for stable urgency is:
d
t(t)＝a
t1+b
t1t+c
t1t
2+d
t1t
3 (3)
h
t(t)＝a
t2+b
t2t+c
t2t
2+d
t2t
3 (4)
Constant a in function
t1, b
t1, c
t1, d
t1And a
t2, b
t2, c
t2, d
t2It is all the variable quantity of wanting self study;
Be to learn according to the nonlinear function of the gap of actual value in gearshift procedure and ideal value for the slowly-advancing quickly-withdrawing formula, described nonlinear function is:
X
j+1＝X
j+(X
ideal-X
j)*(K
1+K
2)+K
3*e
(xidea-xj)*k4 (5)
X
IdealThe optimum value of variable quantity, K
1, K
4, K
3And K
2Be constant, determined by systematic parameter, the corresponding constant when the corresponding constant ratio when moving back advances more greatly.
2. according to stable slowly-advancing quickly-withdrawing self-learning shift mechanical automatic gearbox control system claimed in claim 1, it is characterized in that, described control strategy is according to the zero degree with the time, once, and secondary or determine separation distance d function for variable three times.
3. according to the described stable slowly-advancing quickly-withdrawing self-learning shift mechanical automatic gearbox control system of claim 2, it is characterized in that the separation distance d function of described control system is pressed each coefficient of slowly-advancing quickly-withdrawing self-learning according to gear shift statistics.
4. according to the described stable slowly-advancing quickly-withdrawing self-learning shift mechanical automatic gearbox control system of claim 1, it is characterized in that, the control strategy of described control system is according to the zero degree with the time, once, and secondary or determine input and output shaft slip difference h function for variable three times.
5. according to the described stable slowly-advancing quickly-withdrawing self-learning shift mechanical automatic gearbox control system of claim 4, it is characterized in that, described input and output shaft slip difference h function is pressed each coefficient of slowly-advancing quickly-withdrawing self-learning according to gear shift statistics.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2008101070010A CN101655149B (en) | 2008-08-19 | 2008-08-19 | Stable slowly-advancing quickly-withdrawing self-learning shift mechanical automatic gearbox control system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2008101070010A CN101655149B (en) | 2008-08-19 | 2008-08-19 | Stable slowly-advancing quickly-withdrawing self-learning shift mechanical automatic gearbox control system |
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| Publication Number | Publication Date |
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| CN101655149A CN101655149A (en) | 2010-02-24 |
| CN101655149B true CN101655149B (en) | 2013-05-15 |
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| CN2008101070010A Expired - Fee Related CN101655149B (en) | 2008-08-19 | 2008-08-19 | Stable slowly-advancing quickly-withdrawing self-learning shift mechanical automatic gearbox control system |
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Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102182821A (en) * | 2011-04-20 | 2011-09-14 | 海博瑞德（北京）汽车技术有限公司 | Gearshift mechanism extreme position self-learning control method for AMT system |
| CN103375586B (en) * | 2012-04-13 | 2015-04-08 | 广州汽车集团股份有限公司 | Method for discriminating neutral gear on basis of electronic neutral gear sensor |
| CN103574004B (en) * | 2012-08-01 | 2016-09-28 | 上海通用汽车有限公司 | The self study of AMT system gear discrimination standard and self-adaptation control method and system |
| CN102927262B (en) * | 2012-11-06 | 2015-03-18 | 广东戈兰玛汽车系统有限公司 | Automatic gearbox controller for super-three-parameter optimum gear decision |
| CN111022635A (en) * | 2019-12-30 | 2020-04-17 | 盛瑞传动股份有限公司 | Control method for oil filling time of automatic transmission in quick oil filling stage |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6059688A (en) * | 1996-10-04 | 2000-05-09 | Toyota Jidosha Kabushiki Kaisha | Automotive control apparatus including means for preventing interference between running stability control device and transmission shift control device |
| CN1763402A (en) * | 2004-10-22 | 2006-04-26 | 通用汽车公司 | Method and apparatus for adaptive control of power-on downshifts in an automatic transmission |
| CN1831384A (en) * | 2005-02-09 | 2006-09-13 | 通用汽车公司 | Method and apparatus for adaptive control of power-on skip through neutral downshifts |
| CN101126445A (en) * | 2006-08-17 | 2008-02-20 | 现代自动车株式会社 | Method for propagating adaptation value in automatic transmission |
-
2008
- 2008-08-19 CN CN2008101070010A patent/CN101655149B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6059688A (en) * | 1996-10-04 | 2000-05-09 | Toyota Jidosha Kabushiki Kaisha | Automotive control apparatus including means for preventing interference between running stability control device and transmission shift control device |
| CN1763402A (en) * | 2004-10-22 | 2006-04-26 | 通用汽车公司 | Method and apparatus for adaptive control of power-on downshifts in an automatic transmission |
| CN1831384A (en) * | 2005-02-09 | 2006-09-13 | 通用汽车公司 | Method and apparatus for adaptive control of power-on skip through neutral downshifts |
| CN101126445A (en) * | 2006-08-17 | 2008-02-20 | 现代自动车株式会社 | Method for propagating adaptation value in automatic transmission |
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Owner name: GUANGDONG GRANDMARK INDUSTRIAL LTD. Free format text: FORMER OWNER: JIANGXI RUILAI ELECTRONICS CO., LTD. Effective date: 20130712 |
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Effective date of registration: 20130712 Address after: 523009 Guangdong province Dongguan city Dongcheng District District No. 25 Zhang Lu dragon mulberry management Patentee after: Guangdong Grandmark Automotive Systems Co., Ltd. Address before: 330096, A building, No. 698, Jingdong Avenue, Nanchang hi tech Zone, Jiangxi, 8 Patentee before: Jiangxi Ruilai Electronic Co., Ltd. |
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