CN113586686A - Self-adaptive adjustment method and device for characteristic curve of clutch - Google Patents
Self-adaptive adjustment method and device for characteristic curve of clutch Download PDFInfo
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- CN113586686A CN113586686A CN202111016911.XA CN202111016911A CN113586686A CN 113586686 A CN113586686 A CN 113586686A CN 202111016911 A CN202111016911 A CN 202111016911A CN 113586686 A CN113586686 A CN 113586686A
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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
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Abstract
The invention provides a clutch characteristic curve self-adaptive adjusting method and a device of a hybrid power transmission, wherein the method comprises the following steps: sampling clutch pressure and clutch transmission torque when the clutch works in different torque ranges; when the sampled data amount reaches the preset requirement, fitting by using the sampled data to obtain the linear gain g of the clutch characteristic curve; based on the linear gain g and the initial linear gain g stored in advance0Obtaining a linear gain change value delta g (n); judging whether a clutch characteristic curve needs to be corrected or not based on the linear gain change value delta g (n); if the characteristic curve of the clutch needs to be corrected, based on the change value delta g (n) of the linear gain and a preset and stored initial linear gain g0And correcting the clutch characteristic curve.
Description
Technical Field
The invention relates to the field of hybrid power transmissions, in particular to a clutch characteristic curve self-adaptive adjusting method and device.
Background
The automatic transmission adopts a clutch to transmit the torque of a power assembly, and the characteristic (P-T curve) of the pressure and the transmission torque of the clutch is used as a control parameter, so that the control performance of the transmission is directly influenced, including starting, crawling, gear shifting and the like. When the automatic transmission is offline, a transmission Control unit tcu (transmission Control unit) controls the clutches by using a default P-T curve, but due to errors of assembly, manufacturing and the like of the clutches of each transmission, the P-T curves of the clutches of each transmission are different, and a single P-T curve cannot ensure the consistency of Control performance. In addition, as the mileage of the vehicle increases, the wear of the clutch will increase, and the P-T curve will also change. If the vehicle fails to recognize the corresponding change, the control performance of the transmission may deteriorate, thereby reducing the drivability and comfort of the vehicle. Therefore, the clutch of the vehicle equipped with the automatic transmission needs to have an adaptive function to ensure that the transmission maintains stable control performance throughout the life cycle.
In the existing P-T adaptive technology of the clutch, a point searching method is adopted, namely, the pressure of the clutch and the transmission torque of the clutch are recorded to form data points, so that the corresponding points of a P-T curve are updated. However, the torque precision of the power assembly in the low torque interval is low, the P-T curve can be greatly deviated in the low torque interval by adopting a point-finding self-adaption method, and the self-adaption effect is poor.
Disclosure of Invention
According to the self-adaptive adjustment method and device for the clutch characteristic curve of the hybrid power transmission, the operating condition points (torque, pressure, slip, oil temperature and the like) of the clutch are recorded, linear gain is obtained by using a least square method fitting method, and then the correction coefficient is calculated to correct the clutch characteristic curve, so that the clutch characteristic curve has the self-adaptive characteristic of gradual iteration.
The technical scheme of the invention is as follows:
the invention provides a clutch characteristic curve self-adaptive adjusting method, which comprises the following steps:
sampling clutch pressure and clutch transmission torque when the clutch works in different torque ranges;
when the sampled data amount reaches the preset requirement, fitting by using the sampled data to obtain the linear gain g of the clutch characteristic curve;
based on the linear gain g and the initial linear gain g stored in advance0Obtaining a linear gain change value delta g (n);
judging whether a clutch characteristic curve needs to be corrected or not based on the linear gain change value delta g (n);
if the characteristic curve of the clutch needs to be corrected, based on the change value delta g (n) of the linear gain and a preset and stored initial linear gain g0And correcting the clutch characteristic curve.
Preferably, before the step of sampling the clutch pressure and the clutch transfer torque when the clutch is operating in different torque ranges, the method further comprises:
judging whether to trigger the clutch characteristic curve to be adaptively adjusted or not based on the running state of the whole vehicle;
and when the trigger clutch characteristic curve is determined to be adaptively adjusted, performing sampling processing on clutch pressure and clutch transmission torque when the clutch works in different torque ranges.
Preferably, the specific conditions of the trigger clutch characteristic curve self-adaptive adjustment are that the whole vehicle runs in a gear, the clutch is in a micro-slip control mode, the oil temperature of the transmission is within a preset oil temperature range, the temperature of a clutch plate is a first preset temperature, the pressure fluctuation of the clutch is smaller than a first preset pressure value, the total torque of the power assembly is larger than a first preset torque, and the transmission is in a preset gear.
Preferably, the step of sampling clutch pressure and clutch transfer torque when the clutch is operating in different clutch torque ranges comprises:
sampling and filtering clutch pressure and clutch transmission torque when the clutch works in different clutch torque ranges;
every time N clutch pressures and clutch transmission torques are obtained through continuous filtering, the average value of the clutch pressures and the average value of the clutch transmission torques are calculated once;
the calculated mean value of the clutch pressure and the mean value of the clutch transmission torque are stored as a set of data in the corresponding storage section based on a plurality of storage sections divided in advance by torque ranges.
Preferably, when the sampled data amount meets a preset requirement, the step of fitting by using the sampled data to obtain the linear gain of the clutch characteristic curve includes:
when the number of the data sets stored in each storage interval respectively reaches the corresponding preset required number, performing least square fitting by using the data sets stored in each storage interval to obtain a linear gain g of a clutch characteristic curve;
the preset required quantity corresponding to different storage intervals is different.
Preferably, the initial linear gain g is stored based on the linear gain g and the preset0The step of obtaining the linear gain variation value Δ g (n) includes:
using the formula:
Δg(n)＝Δg(n-1)+α(g-g0-Δg(n-1))
carrying out iterative calculation to obtain a linear gain change value delta g (n); wherein, Δ g (n-1) is a linear gain change value obtained after the clutch characteristic curve is corrected last time; alpha is an iteration factor, and alpha is a preset constant value; g is the linear gain; g0Is the initial linear gain;
when the clutch characteristic curve is first adaptively adjusted, Δ g (n-1) is zero.
Preferably, the step of determining whether the clutch characteristic curve needs to be corrected based on the linear gain variation value includes:
and if the linear gain change value delta g (n) is within a preset change range, determining that the characteristic curve of the clutch needs to be corrected.
Preferably, if the clutch characteristic curve needs to be corrected, the initial linear gain g stored in advance is preset and based on the linear gain change value Δ g (n)0The step of correcting the clutch characteristic curve includes:
using the formula:
calculating a correction coefficient F;
and correcting the clutch characteristic curve by using the correction coefficient F.
Preferably, the method further comprises:
and storing the obtained linear gain change value delta g (n) for the next adaptive adjustment of the clutch characteristic curve.
The invention also provides a clutch characteristic curve self-adaptive adjusting device, which comprises:
the sampling processing module is used for sampling clutch pressure and clutch transmission torque when the clutch works in different torque ranges;
the fitting module is used for fitting by using the sampled data when the sampled data amount reaches a preset requirement to obtain a linear gain g of a clutch characteristic curve;
a calculation module for calculating an initial linear gain g based on the linear gain g and a preset memory0Obtaining a linear gain change value delta g (n);
the judging module is used for judging whether the characteristic curve of the clutch needs to be corrected or not based on the linear gain change value delta g (n);
and the correction module is used for correcting the clutch characteristic curve based on the linear gain change value delta g (n) and a preset and stored initial linear gain g if the clutch characteristic curve needs to be corrected.
The invention has the beneficial effects that:
compared with the prior art, the method provided by the invention corrects the characteristic curve of the clutch, can avoid the characteristic curve of the clutch from generating large deviation in a low torque area, and is easier to obtain stable self-adaptive effect by the gradually iterative characteristic.
Drawings
FIG. 1 is a schematic illustration of a dual clutch transmission based hybrid powertrain employing 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 torque and pressure fitting method applied to the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the embodiments are merely examples, and other embodiments may take various alternative forms.
The invention provides a clutch characteristic curve self-adaptive adjusting method which is applied to a hybrid power system with a double-clutch transmission, wherein the system has two driving modes of pure electric and hybrid power. As shown in fig. 1, in the hybrid system in the electric-only mode, the clutch C0 is opened, the engine E does not work, and the torque of the electric machine EM can be input into the transmission G through the outer clutch C1 or the inner clutch C2, and then transmitted to the wheels W through the differential D; while the hybrid powertrain is in hybrid mode, with clutch C0 engaged, the torque of the engine E and the electric machine EM will be transferred to the wheels W in the same manner. In addition, the transmission control unit TCU can control the pressure of the clutches C0, C1 and C2 by controlling the current of the electromagnetic valves in the hydraulic system H, so as to complete the opening and engagement of the clutches.
Since the three clutches C0, C1 and C2 of the hybrid powertrain described above differ in function, their P-T adaptation requirements will vary accordingly. Among them, the main function of the clutch C0 is to start the engine, and in terms of design, the slip work is small, the cooling flow is small, and the open-loop control is adopted, so that the clutch C0 does not need to consider self-adaptation. The clutches C1 and C2 have the characteristics of large sliding friction work and large cooling flow, the P-T curves of the clutches are greatly deviated along with the change of time, the influence on the driving performance is large, and the self-adaption of the clutches is necessary. In view of this, the clutch characteristic curve adaptive adjustment method in the embodiment of the invention is applicable only to the clutches C1 and C2.
Further, as shown in fig. 2, the specific contents of the characteristic curve adaptive strip method applied to the clutches C1 and C2 in the embodiment of the present invention include the following steps:
step S10: checking whether the running state of the whole vehicle meets the triggering condition of the self-adaptive adjustment of the characteristic curve of the clutch; if the trigger condition is met, executing step S20, otherwise, exiting the adaptive adjustment of the clutch characteristics.
Wherein, the triggering conditions include: the whole vehicle runs in a gear, and the clutch is in a micro-slip control mode; the oil temperature of the transmission is within a preset oil temperature range (such as a temperature range of 50-95 ℃); the temperature of the clutch plate is lower than a first preset temperature (such as 250 ℃); the clutch pressure fluctuation is less than a first preset pressure value (such as 0.5 bar); the total torque of the power assembly (specifically, the engine E and the motor EM in the embodiment) is greater than a first preset torque (for example, 20 Nm); the transmission is in a preset gear (preset gear is a high gear), preferably 3, 4, 5 and 6.
The clutch micro-slip control mode is that the transmission control unit TCU maintains the clutch with a micro-slip within 20rpm through closed-loop feedback control while the clutch transmits the torque of the engine E and the motor EM.
The clutch pressure fluctuation refers to the pressure difference between the current pressure of the clutch and the pressure before a preset period, and in the embodiment, 5 periods are preferred.
Step S20: and after the driving state of the whole vehicle meets the self-adaptive adjustment triggering of the characteristic curve of the clutch, sampling and filtering the pressure of the clutch and the transmission torque of the clutch.
Specifically, the process includes: clutch pressure and clutch transfer torque are sampled while the clutch is operating in different torque ranges.
And filtering the sampled clutch pressure and clutch transmission torque. Then, for the clutch pressure and the clutch torque of the clutch working in the same torque range, the average value of the consecutive N sampling points is calculated to obtain the average value of the clutch pressure and the average value of the clutch transmission torque required by the present embodiment, and in the present embodiment, 10 sampling points are preferred.
In the present embodiment, the clutch transmission torque is the total torque of the engine E and the electric machine EM without considering the inertia torque.
Step S30: the calculated clutch pressure average value and clutch transmission torque average value are sequentially stored in a storage section in the transmission control unit TCU according to the magnitude of the clutch transmission torque average value as a set of data. In particular, in its non-volatile memory NVM.
The transmission control unit TCU includes a plurality of memory sections divided based on the magnitude of the clutch transmission torque, and one memory section corresponds to one clutch transmission torque range. Therefore, when a set of data is stored, the set of data is stored in the corresponding storage interval.
In this embodiment, a linear fitting method is used to calculate the linear gain g of the clutch characteristic curve, and the fitting accuracy is related to the distribution of the data points. If the stored data points are more concentrated, the accuracy of the fitting is difficult to guarantee. Therefore, the present embodiment will preferably store the data described in step S30 in three NVM spaces depending on the magnitude of the transfer torque.
Specifically, if the clutch transmission torque is less than T1, the data is stored in the low torque region NVM space; if the clutch transmission torque is in the range of [ T1T 2], storing the data in a middle torque zone NVM space; if the clutch transmission torque is larger than T2, storing the data in the high-torque zone NVM space; t1 is preferably 150Nm and T2 is preferably 300 Nm.
Step S40: and checking whether the data volume in each storage space reaches the preset required number, if so, executing the step S50, otherwise, quitting the self-adaptation and not performing the fitting.
In this embodiment, if the fitting condition is to be satisfied, the number of data points stored in the storage space of the low torque region is required to be not less than M1, the number of data points stored in the storage space of the medium torque region is not less than M2, and the number of data points stored in the storage space of the high torque region is not less than M3; m1, M2 and M3 are preferably 8, 8 and 4.
Step S50: and extracting the data in each storage space and fitting to calculate the linear gain g of the clutch characteristic curve.
The fitting calculation uses a linear least squares method, as shown in fig. 3.
Specifically, all the data points stored in the storage spaces are unified into the same coordinate system, and are represented as (xi, yi), i is 1,2,3, …, k, wherein xi represents the clutch pressure, yi represents the clutch transmission torque, and k is the total number of data points. Setting the function expression of the fitting to be y ═ f + gx, the following matrix equation can be obtained:
to this end, the linear gain g calculated by the linear least square method satisfies the following expression:
in this embodiment, in consideration of the slowly varying characteristic of the clutch characteristic curve, after fitting the obtained linear gain g, an iterative method may be adopted to calculate a gain value g (n) after adaptation so as to satisfy:
g(n)＝g(n-1)+α*(g-g(n-1))
wherein g (n-1) is the linear gain obtained after the previous adaptation, α is the iteration factor, and in this embodiment, α is preferably 0.1.
Step S60: for initialization, the linear gain change value Δ g (n) is calculated and stored instead of the gain value g (n).
The gain change value delta g (n) refers to the gain value g (n) obtained by the current iteration and the initial gain g in the transmission control unit TCU0The difference of (a).
Likewise, the above gain variation value is calculated using an iterative method, which will satisfy the following relation:
Δg(n)＝Δg(n-1)+α*(g-g0-Δg(n-1))
wherein, Δ g (n-1) is a linear gain change value obtained after the clutch characteristic curve is corrected last time; alpha is an iteration factor and alpha is a preSetting a constant value; g is the linear gain; g0Is the initial linear gain.
When the clutch characteristic curve is adjusted adaptively for the first time, the delta g (n-1) is zero.
Step S70: and judging whether the gain change value delta g (n) is within a preset change range, if so, determining that the clutch characteristic curve needs to be corrected, and further executing the step S80, otherwise, quitting the self-adaption and not correcting the clutch characteristic curve.
The preferred preset range of variation in this embodiment is [ -11 ] Nm/bar.
Step S80: the clutch characteristic curve is corrected for pressure control of the clutch.
The correction method is to calculate a correction coefficient F to correct the clutch characteristic curve in the transmission control unit TCU, wherein the correction coefficient F satisfies the following conditions:
step S90: after power is off, the gain change value delta g (n) at this time is stored and is used for self-adaptive adjustment of the clutch characteristic curve next time.
When the clutch characteristic curve is corrected next time, the gain change value delta g (n) obtained by calculation at the time is delta g (n-1) used by calculation next time.
By implementing the above steps S10 to S90, the clutch characteristic curve can be gradually corrected, so that it is possible to ensure that the transmission can maintain stable control performance throughout the life cycle, and the object of the present invention is satisfied.
It should be noted that the above-mentioned embodiments are not intended to limit the present invention, and any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A clutch characteristic curve self-adaptive adjusting method is characterized by comprising the following steps:
sampling clutch pressure and clutch transmission torque when the clutch works in different torque ranges;
when the sampled data amount reaches the preset requirement, fitting by using the sampled data to obtain the linear gain g of the clutch characteristic curve;
based on the linear gain g and the initial linear gain g stored in advance0Obtaining a linear gain change value delta g (n);
judging whether a clutch characteristic curve needs to be corrected or not based on the linear gain change value delta g (n);
if the characteristic curve of the clutch needs to be corrected, based on the change value delta g (n) of the linear gain and a preset and stored initial linear gain g0And correcting the clutch characteristic curve.
2. The method of claim 1, wherein prior to performing the step of sampling clutch pressure and clutch transfer torque when the clutch is operating in different torque ranges, the method further comprises:
judging whether to trigger the clutch characteristic curve to be adaptively adjusted or not based on the running state of the whole vehicle;
and when the trigger clutch characteristic curve is determined to be adaptively adjusted, performing sampling processing on clutch pressure and clutch transmission torque when the clutch works in different torque ranges.
3. The method as claimed in claim 2, wherein the specific conditions for triggering the adaptive adjustment of the characteristic curve of the clutch are that the whole vehicle is running in gear, the clutch is in a micro-slip control mode, the oil temperature of the transmission is within a preset oil temperature range, the temperature of the clutch plates is a first preset temperature, the pressure fluctuation of the clutch is less than a first preset pressure value, the total torque of the power assembly is greater than a first preset torque, and the transmission is in a preset gear.
4. The method of claim 1, wherein the step of sampling clutch pressure and clutch transfer torque when the clutch is operating in different clutch torque ranges comprises:
sampling and filtering clutch pressure and clutch transmission torque when the clutch works in different clutch torque ranges;
every time N clutch pressures and clutch transmission torques are obtained through continuous filtering, the average value of the clutch pressures and the average value of the clutch transmission torques are calculated once;
the calculated mean value of the clutch pressure and the mean value of the clutch transmission torque are stored as a set of data in the corresponding storage section based on a plurality of storage sections divided in advance by torque ranges.
5. The method of claim 4, wherein the step of fitting the sampled data to obtain the linear gain of the clutch characteristic curve when the sampled data amount reaches a preset requirement comprises:
when the number of the data sets stored in each storage interval respectively reaches the corresponding preset required number, performing least square fitting by using the data sets stored in each storage interval to obtain a linear gain g of a clutch characteristic curve;
the preset required quantity corresponding to different storage intervals is different.
6. The method of claim 1, wherein the initial linear gain g is stored based on the linear gain g and a preset value0The step of obtaining the linear gain variation value Δ g (n) includes:
using the formula:
Δg(n)＝Δg(n-1)+α(g-g0-Δg(n-1))
carrying out iterative calculation to obtain a linear gain change value delta g (n); wherein, Δ g (n-1) is a linear gain change value obtained after the clutch characteristic curve is corrected last time; alpha is an iteration factor, and alpha is a preset constant value; g is the linear gain; g0Is the initial linear gain;
when the clutch characteristic curve is first adaptively adjusted, Δ g (n-1) is zero.
7. The method of claim 1, wherein the step of determining whether a clutch characteristic needs to be modified based on the linear gain change value comprises:
and if the linear gain change value delta g (n) is within a preset change range, determining that the characteristic curve of the clutch needs to be corrected.
8. Method according to claim 1, characterized in that if a correction of the clutch characteristic curve is required, it is based on the linear gain change value Δ g (n) and a preset stored initial linear gain g0The step of correcting the clutch characteristic curve includes:
using the formula:
calculating a correction coefficient F;
and correcting the clutch characteristic curve by using the correction coefficient F.
9. The method of claim 1, further comprising:
and storing the obtained linear gain change value delta g (n) for the next adaptive adjustment of the clutch characteristic curve.
10. A clutch characteristic curve adaptive adjusting device is characterized by comprising:
the sampling processing module is used for sampling clutch pressure and clutch transmission torque when the clutch works in different torque ranges;
the fitting module is used for fitting by using the sampled data when the sampled data amount reaches a preset requirement to obtain a linear gain g of a clutch characteristic curve;
a calculation module for calculating an initial linear gain g based on the linear gain g and a preset memory0Obtaining a linear gain change value delta g (n);
the judging module is used for judging whether the characteristic curve of the clutch needs to be corrected or not based on the linear gain change value delta g (n);
and the correction module is used for correcting the clutch characteristic curve based on the linear gain change value delta g (n) and a preset and stored initial linear gain g if the clutch characteristic curve needs to be corrected.
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| CN115451119A (en) * | 2022-10-14 | 2022-12-09 | 上海汽车变速器有限公司 | Method, device, equipment and storage medium for correcting characteristic curve of clutch |
| CN115451119B (en) * | 2022-10-14 | 2024-02-13 | 上海汽车变速器有限公司 | Method, device, equipment and storage medium for correcting clutch characteristic curve |
| CN115451120B (en) * | 2022-10-14 | 2024-02-13 | 上海汽车变速器有限公司 | Method, device, equipment and storage medium for correcting clutch characteristic curve |
| CN115750781A (en) * | 2022-11-26 | 2023-03-07 | 重庆长安汽车股份有限公司 | Self-learning method and system for flow valve QI characteristic data of transmission and vehicle |
| CN115750781B (en) * | 2022-11-26 | 2024-05-14 | 重庆长安汽车股份有限公司 | Self-learning method and system for QI characteristic data of flow valve of transmission and vehicle |
| CN116085463A (en) * | 2023-01-02 | 2023-05-09 | 重庆长安汽车股份有限公司 | Clutch solenoid valve P-I curve self-learning method and system of hybrid transmission |
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