CN115045581B - Resistance self-learning method for anti-pinch module lifting system - Google Patents
Resistance self-learning method for anti-pinch module lifting system Download PDFInfo
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- CN115045581B CN115045581B CN202210618751.4A CN202210618751A CN115045581B CN 115045581 B CN115045581 B CN 115045581B CN 202210618751 A CN202210618751 A CN 202210618751A CN 115045581 B CN115045581 B CN 115045581B
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- 238000000034 method Methods 0.000 title claims abstract description 45
- 230000008569 process Effects 0.000 claims abstract description 29
- 230000000630 rising effect Effects 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 5
- 239000005357 flat glass Substances 0.000 abstract description 10
- 230000001174 ascending effect Effects 0.000 abstract description 3
- 230000008859 change Effects 0.000 description 7
- 238000005299 abrasion Methods 0.000 description 3
- 230000032683 aging Effects 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 2
- 230000002596 correlated effect Effects 0.000 description 2
- 230000000875 corresponding effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000011521 glass Substances 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 230000035882 stress Effects 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Images
Classifications
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- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05F—DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
- E05F15/00—Power-operated mechanisms for wings
- E05F15/40—Safety devices, e.g. detection of obstructions or end positions
- E05F15/42—Detection using safety edges
- E05F15/48—Detection using safety edges by transmission of mechanical forces, e.g. rigid or movable members
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- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05F—DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
- E05F15/00—Power-operated mechanisms for wings
- E05F15/70—Power-operated mechanisms for wings with automatic actuation
- E05F15/73—Power-operated mechanisms for wings with automatic actuation responsive to movement or presence of persons or objects
-
- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05Y—INDEXING SCHEME ASSOCIATED WITH SUBCLASSES E05D AND E05F, RELATING TO CONSTRUCTION ELEMENTS, ELECTRIC CONTROL, POWER SUPPLY, POWER SIGNAL OR TRANSMISSION, USER INTERFACES, MOUNTING OR COUPLING, DETAILS, ACCESSORIES, AUXILIARY OPERATIONS NOT OTHERWISE PROVIDED FOR, APPLICATION THEREOF
- E05Y2900/00—Application of doors, windows, wings or fittings thereof
- E05Y2900/50—Application of doors, windows, wings or fittings thereof for vehicles
- E05Y2900/53—Type of wing
- E05Y2900/55—Windows
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Window Of Vehicle (AREA)
- Power-Operated Mechanisms For Wings (AREA)
Abstract
The invention discloses a high-efficiency and reliable self-learning method for ascending and descending resistance parameters of window glass of an electric vehicle, which belongs to the technical field of vehicle-mounted electronics, and comprises the steps of setting the resistance updating condition, considering the motion state and the motion direction of a window glass motor, the starting position of the window glass and the covering condition of an anti-pinch range, and updating the resistance more reasonably, thereby better realizing the anti-pinch function of the window glass; the initialization process and the resistance updating after the initialization are set, and the resistance updating is carried out when the fluctuation of the resistance reaches a plurality of conditions. The trigger condition and the resistance value updating condition of the invention are reliable and effective, and can meet the requirement of the anti-pinch function of the electric window when the vehicle is used.
Description
Technical Field
The invention belongs to the technical field of vehicle-mounted electronics, and particularly relates to a resistance self-learning method for an anti-pinch module lifting system.
Background
At present, the window of a household automobile is electric, namely, the window motor is controlled to rotate by a window button, so that window glass is driven to ascend or descend. The conventional power windows also have a one-key ascending and descending and anti-pinch function. The anti-pinch function is realized in a plurality of ways, but the condition is that the car window glass meets an obstacle in the rising process, so that the motor is locked, and other related variables are changed.
In consideration of the fact that parameters of a vehicle window part can change along with the influence of conditions such as rubber aging, structural member abrasion, temperature and humidity and the like in the use process of a vehicle, the change of the parameters can cause the resistance of the rising and falling of the window glass to change, so that the anti-pinch parameters of the vehicle when leaving a factory obviously cannot be unchanged, and the related anti-pinch parameters need to be updated in real time according to the current situation of the vehicle.
Disclosure of Invention
The invention provides a resistance self-learning method of an anti-pinch module lifting system, which aims to solve the problem that parameters of a car window part can be changed along with the influence of conditions such as rubber aging, structural member abrasion, temperature and humidity and the like in the use process of a car, and the change of the parameters can cause the change of the resistance of the rising and falling of car window glass, so that the anti-pinch function of an electric car window is influenced.
In order to achieve the aim, the invention provides a resistance self-learning method of an anti-pinch module lifting system, which comprises the following steps:
step 1: judging whether the voltage fluctuation of the motor exceeds the current range, if so, entering a step 2, and otherwise, entering a step 3;
step 2: clearing the initialization process completion flag;
and 3, step 3: setting a plurality of voltage ranges for the voltage of the motor, and endowing a first threshold value and a second threshold value for each voltage range;
and 4, step 4: judging whether the switch gives a rising signal and the initial position of the car window is below an anti-pinch range or not, or judging whether the switch gives a falling signal and the initial position of the car window is above the anti-pinch range or not, if the switch gives the rising signal and the initial position of the car window is below the anti-pinch range or the switch gives the falling signal and the initial position of the car window is above the anti-pinch range, entering the step 5, and if the switch gives the falling signal and the initial position of the car window is above the anti-pinch range, entering the step 11;
and 5: judging whether a switch in an anti-pinch range gives a stop command or whether a vehicle window meets an obstacle, if the switch in the anti-pinch range gives the stop command or the vehicle window meets the obstacle, entering step 11, and if not, entering step 6;
and 6: judging whether the motor is overheated after the anti-pinch range is finished, if so, entering a step 11, and if not, entering a step 7;
and 7: judging whether the initialization process is finished, if so, entering a step 9, and if not, entering a step 8;
and 8: storing the resistance value recorded in the process into self-learning data, and sending an initialization process completion mark;
and step 9: comparing the resistance value of the process with the self-learning basic value after data processing with a first threshold value;
step 10: judging whether the frequency of the result of the step 9 being greater than the threshold exceeds a second threshold, if so, entering a step 8, otherwise, entering a step 11;
step 11: and (4) exiting.
In some alternative embodiments, step 9 comprises:
and (3) making a ratio of the resistance value of the process to the self-learning base value after the resistance value of the process is differed with the self-learning base value, multiplying N to obtain an absolute value, storing the maximum number of the obtained result values by an array, calculating the average value of the number of the maximum number of the obtained result values, and comparing the average value with a first threshold value.
In some alternative embodiments, the threshold values set in steps 9 and 10 are varied according to fluctuations in the window motor voltage.
In some alternative embodiments, steps 4, 5 and 6 are a prerequisite for performing the self-learning initialization process and updating the resistance values.
In general, compared with the prior art, the above technical solution contemplated by the present invention can achieve the following beneficial effects:
because the working condition of the vehicle is changed at any time, the voltage of the window motor is fluctuated, and the external characteristic of the motor is influenced, so that the output of the resistance value borne by the motor is influenced. The updating of the self-learning resistance value can specifically update the lifting resistance under the condition that continuous influence is generated on the ascending and descending of the window glass, such as the aging of glass rubber, the abrasion of structural parts and the like, so that the real-time property of the lifting resistance of the window glass is ensured, and the condition that the self-learning data is wrong due to some accidental special conditions is avoided. The invention is suitable for various algorithms for realizing the anti-pinch function based on the driving force of the motor, including algorithms of ripple anti-pinch, hall anti-pinch and the like.
Drawings
FIG. 1 is a schematic diagram of an implementation of a resistance self-learning method for an anti-pinch module lifting system according to an embodiment of the invention;
FIG. 2 is a schematic flow chart of a resistance self-learning method for an anti-pinch module lifting system according to an embodiment of the present invention;
wherein, 1-vehicle door; 2-a door frame; 3-vehicle door glass; (1) -an initialization procedure; (2) -a resistance update procedure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
In the present examples, "first", "second", etc. are used for distinguishing different objects, and are not used for describing a particular order or sequence.
The basic principle of the invention is as follows:
install hall sensor in the window motor, hall sensor can be along with the real-time hall pulse signal that sends of motor operation, and the hall pulse number is correlated with the operation of motor positively, and the motor can produce the certain pulse number of quantity every round. Meanwhile, the pulse width value of the pulse is positively correlated with the stress of the motor. Therefore, the pulse number can be used for acquiring the position information of the car window, and the pulse width can be used for acquiring the resistance information of the car window.
As shown in fig. 1 and 2, in the anti-pinch module lifting system resistance self-learning method of the present invention, the entry condition takes into account the voltage fluctuation of the window motor, and a plurality of voltage ranges are set for the voltage of the motor, each voltage range corresponding to a different threshold; update conditions using level 1 resistance: comparing the value of the current resistance and the self-learning basic value after data processing with a set threshold value, and entering the next level of resistance updating judgment only if the value is greater than the threshold value, wherein the processing method comprises the following step 9; update conditions using level 2 resistance: and when the level 1 condition is met, starting the accumulation times, and when the accumulation times reach a set threshold, updating the self-learning resistance base value. The method can be realized by the following steps:
step 1: judging whether the voltage fluctuation of the motor exceeds the current range, if so, entering a step 2, and otherwise, entering a step 3;
in step 1, the current range is determined according to the external characteristics of the motor, and the external characteristics of the motor in different voltage ranges have certain difference, which causes the difference of the normal pulse width value.
And 2, step: clearing an initialization process completion flag;
and 3, step 3: setting a plurality of voltage ranges for the voltage of the motor, and endowing a first threshold value and a second threshold value for each voltage range;
the first threshold and the second threshold are different in size, and are set according to the fact that modeling is performed in vehicle door development, model simulation and subsequent vehicle door physical test are performed, test results of various working conditions and scenes are analyzed, and sensitivity and stability are considered.
And 4, step 4: judging whether the switch gives a rising signal or not and whether the initial position of the car window is below an anti-pinch range or not, or judging whether the switch gives a falling signal or not and whether the initial position of the car window is above the anti-pinch range or not, if the switch gives the rising signal or the initial position of the car window is below the anti-pinch range or not, entering the step 5, and if the switch gives the falling signal or the initial position of the car window is above the anti-pinch range, entering the step 11;
and 5: judging whether a switch in an anti-pinch range gives a stop command or whether a vehicle window meets an obstacle, if the switch in the anti-pinch range gives the stop command or the vehicle window meets the obstacle, entering step 11, and if not, entering step 6;
and 6: judging whether the motor is overheated after the anti-pinch range is finished, if so, entering a step 11, otherwise, entering a step 7;
wherein, steps 1, 3, 4, 5, 6 are S1, S3, S4, S5, S6 in the schematic diagram of fig. 1, i.e. 'condition'.
And 7: judging whether the initialization process is finished, if so, entering a step 9, and if not, entering a step 8;
and 8: storing the resistance value recorded in the process into self-learning data, and sending an initialization process completion mark;
step 8, i.e., S8, is (1) in fig. 1, i.e., an initialization process.
And step 9: the resistance value in the process is subtracted from the self-learning base values of the corresponding positions, then the ratio of the resistance value to the self-learning base values is calculated, 100 is multiplied, the absolute value is obtained, the maximum 10 numbers in the obtained result values are stored in an array, the average value of the 10 numbers is calculated, and the average value is compared with a first threshold value;
wherein the self-learning base value represents the last time the stored self-learning value is updated.
The vehicle window motor is characterized in that the array is updated once every time a pulse is generated in the operation process of the vehicle window motor, an average value is calculated once, and the algorithm is triggered only when the resistance change is accumulated, so that the data processing in an anti-pinch range is a dynamic process, the resistance updating condition is continuously judged and accumulated along with the movement of a vehicle window, the accidental resistance change can be avoided, the self-learning resistance data are wrong, and the reliability of the algorithm is ensured.
Step 10: judging whether the frequency of the result of the step 9 being greater than the threshold exceeds a second threshold, if so, entering a step 8, otherwise, entering a step 11;
wherein, the description is as follows: in steps 9 and 10, i.e., S9 and S10, as shown in (2) of fig. 1, the steps 9, 10 and 8 complete the resistance updating process on the premise that the conditions are satisfied.
Step 11: and exiting the algorithm.
Wherein, the threshold value set in step 9 and step 10 is changed according to the fluctuation of the voltage of the window motor, thereby ensuring the updating accuracy of the resistance basic value.
Wherein, the step 4, the step 5 and the step 6 are the precondition of carrying out the self-learning initialization process and updating the resistance value, and the setting of the condition can ensure that the obtained resistance value is correct and reasonable, thereby ensuring the stability of the algorithm.
It should be noted that, according to the implementation requirement, each step/component described in the present application can be divided into more steps/components, and two or more steps/components or partial operations of the steps/components can be combined into new steps/components to achieve the purpose of the present invention.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (3)
1. The utility model provides a resistance self-learning method of anti-pinch module lifting system, which is characterized in that:
step 1: judging whether the voltage fluctuation of the motor exceeds the current range, if so, entering a step 2, and otherwise, entering a step 3;
step 2: clearing the initialization process completion flag;
and 3, step 3: setting a plurality of voltage ranges for the voltage of the motor, and endowing a first threshold value and a second threshold value for each voltage range;
and 4, step 4: judging whether the switch gives a rising signal and the initial position of the car window is below an anti-pinch range or not, or judging whether the switch gives a falling signal and the initial position of the car window is above the anti-pinch range or not, if the switch gives the rising signal and the initial position of the car window is below the anti-pinch range or the switch gives the falling signal and the initial position of the car window is above the anti-pinch range, entering the step 5, and if the switch gives the falling signal and the initial position of the car window is above the anti-pinch range, entering the step 11;
and 5: judging whether the switch in the anti-pinch range gives a stop command or the vehicle window meets an obstacle, if so, giving the stop command or the vehicle window meets the obstacle ， Step 11 is entered, if not, step 6 is entered;
step 6: judging whether the motor is overheated after the anti-pinch range is finished, if so, entering a step 11, and if not, entering a step 7;
and 7: judging whether the initialization process is finished, if so, entering a step 9, and if not, entering a step 8;
and 8: storing the resistance value recorded in the process into self-learning data, and sending an initialization process completion mark;
and step 9: comparing the resistance value of the process with the self-learning base value after data processing with a first threshold value;
step 10: judging whether the number of times that the resistance value and the self-learning base value in the step 9 are subjected to data processing and then are larger than the first threshold exceeds a second threshold, if so, entering a step 8, and if not, entering a step 11;
step 11: withdrawing;
wherein, step 9 includes:
and (3) making a ratio of the resistance value of the process to the self-learning base value after the resistance value of the process is differed with the self-learning base value, multiplying N to obtain an absolute value, storing the maximum number of the obtained result values by an array, calculating the average value of the number of the maximum number of the obtained result values, and comparing the average value with a first threshold value.
2. A method according to claim 1, wherein the threshold values set in steps 9 and 10 are varied in response to fluctuations in the window motor voltage.
3. The method of claim 2, wherein steps 4, 5 and 6 are premised on a self-learning initialization procedure and a resistance value update.
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| CN202210618751.4A CN115045581B (en) | 2022-06-01 | 2022-06-01 | Resistance self-learning method for anti-pinch module lifting system |
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| CN202210618751.4A CN115045581B (en) | 2022-06-01 | 2022-06-01 | Resistance self-learning method for anti-pinch module lifting system |
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| CN115045581B true CN115045581B (en) | 2023-04-11 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US7830107B2 (en) * | 2005-07-04 | 2010-11-09 | Shiroki Kogyo Co., Ltd. | Safety device for power window |
| CN103032006B (en) * | 2012-12-21 | 2015-04-08 | 芜湖蓝宙电子科技有限公司 | Control method for anti-pinch electric vehicle window |
| CN103216172B (en) * | 2013-05-13 | 2015-06-24 | 清华大学 | Self-learning method of anti-pinch parameters of electric car window |
| CN106899254B (en) * | 2017-03-30 | 2019-11-19 | 北京经纬恒润科技有限公司 | A kind of closing feature Antipinch detection method and device |
| CN107489333A (en) * | 2017-08-01 | 2017-12-19 | 宁波普龙汽车电子科技有限公司 | A kind of electric car window anti-pinch parameter learning method and anti-pinching car window control method |
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