CN115143209B - Vehicle clutch self-learning method, device, equipment, medium and vehicle - Google Patents
Vehicle clutch self-learning method, device, equipment, medium and vehicle Download PDFInfo
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- CN115143209B CN115143209B CN202210581705.1A CN202210581705A CN115143209B CN 115143209 B CN115143209 B CN 115143209B CN 202210581705 A CN202210581705 A CN 202210581705A CN 115143209 B CN115143209 B CN 115143209B
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- 238000000034 method Methods 0.000 title claims abstract description 81
- 238000000926 separation method Methods 0.000 claims description 10
- 230000007935 neutral effect Effects 0.000 claims description 7
- 238000012544 monitoring process Methods 0.000 claims description 6
- 238000012795 verification Methods 0.000 description 5
- 238000004590 computer program Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 101100328518 Caenorhabditis elegans cnt-1 gene Proteins 0.000 description 1
- 230000001133 acceleration Effects 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Classifications
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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
- F16D—COUPLINGS FOR TRANSMITTING ROTATION; CLUTCHES; BRAKES
- F16D48/00—External control of clutches
- F16D48/06—Control by electric or electronic means, e.g. of fluid pressure
-
- 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
- F16D—COUPLINGS FOR TRANSMITTING ROTATION; CLUTCHES; BRAKES
- F16D2500/00—External control of clutches by electric or electronic means
- F16D2500/10—System to be controlled
- F16D2500/104—Clutch
- F16D2500/10443—Clutch type
- F16D2500/1045—Friction clutch
-
- 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
- F16D—COUPLINGS FOR TRANSMITTING ROTATION; CLUTCHES; BRAKES
- F16D2500/00—External control of clutches by electric or electronic means
- F16D2500/10—System to be controlled
- F16D2500/11—Application
- F16D2500/1107—Vehicles
-
- 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
- F16D—COUPLINGS FOR TRANSMITTING ROTATION; CLUTCHES; BRAKES
- F16D2500/00—External control of clutches by electric or electronic means
- F16D2500/30—Signal inputs
- F16D2500/304—Signal inputs from the clutch
-
- 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
- F16D—COUPLINGS FOR TRANSMITTING ROTATION; CLUTCHES; BRAKES
- F16D2500/00—External control of clutches by electric or electronic means
- F16D2500/30—Signal inputs
- F16D2500/31—Signal inputs from the vehicle
- F16D2500/3104—Travelled distance
-
- 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
- F16D—COUPLINGS FOR TRANSMITTING ROTATION; CLUTCHES; BRAKES
- F16D2500/00—External control of clutches by electric or electronic means
- F16D2500/50—Problem to be solved by the control system
- F16D2500/501—Relating the actuator
- F16D2500/5016—Shifting operation, i.e. volume compensation of the master cylinder due to wear, temperature changes or leaks in the cylinder
-
- 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
- F16D—COUPLINGS FOR TRANSMITTING ROTATION; CLUTCHES; BRAKES
- F16D2500/00—External control of clutches by electric or electronic means
- F16D2500/50—Problem to be solved by the control system
- F16D2500/502—Relating the clutch
- F16D2500/50233—Clutch wear adjustment operation
-
- 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
- F16D—COUPLINGS FOR TRANSMITTING ROTATION; CLUTCHES; BRAKES
- F16D2500/00—External control of clutches by electric or electronic means
- F16D2500/50—Problem to be solved by the control system
- F16D2500/502—Relating the clutch
- F16D2500/50245—Calibration or recalibration of the clutch touch-point
- F16D2500/50251—During operation
Abstract
The invention relates to a vehicle clutch self-learning method, a device, equipment, a medium and a hybrid vehicle, wherein the method comprises the following steps: determining whether the driving cycle times or the driving mileage meets the triggering condition of clutch self-learning in the driving process of the vehicle; if the triggering condition is met, a clutch self-learning instruction is generated, and the clutch enters a self-learning mode; and under the self-learning mode of the clutch, carrying out the self-learning process of the clutch according to the self-learning instruction, and determining the target parameters of the clutch. The method can ensure the rationality of the self-learning frequency, avoid frequent triggering of the self-learning in a single driving cycle, and take the intention of a driver as the first execution sequence in the self-learning process.
Description
Technical Field
The invention relates to the technical field of hybrid power vehicle clutches, in particular to a vehicle clutch self-learning method, a device, equipment, a medium and a hybrid power vehicle.
Background
The clutch is one of the important components of the vehicle powertrain system and mainly used for controlling the on-off of the transmitted power. After the clutch is used for a long time, the separation point, the joint point and the sliding grinding point are changed due to the thinning of the friction plate, so that adverse effects can be generated on the processes of acceleration performance, gear shifting smoothness, starting and the like; therefore, a clutch self-learning function is added to correct three main positions of the clutch, so that smoothness in the control process is ensured.
The existing clutch self-learning triggering conditions of the commercial vehicle are mostly external mechanical switch triggering, the self-learning period is uncontrollable, and the clutch self-learning is manually controlled, so that the self-learning frequency is frequent or overlong, the confirmation of the clutch position is influenced, and the control of the processes of gear engagement, starting and the like is not facilitated.
Disclosure of Invention
The application provides a vehicle clutch self-learning method, a device, computer equipment and a storage medium.
A first aspect provides a vehicle clutch self-learning method, the method comprising:
determining whether the driving cycle number or the driving mileage of the vehicle in the driving process meets the triggering condition of clutch self-learning;
if the trigger condition is met, a clutch self-learning instruction is generated, an engine starting instruction is sent to the engine, and the clutch enters a self-learning mode;
and under the condition that the clutch is in a self-learning mode, carrying out a self-learning process of the clutch according to the self-learning instruction, and determining target parameters of the clutch.
In some embodiments, the determining whether the number of driving cycles or the driving range of the vehicle during driving satisfies the trigger condition for clutch self-learning includes:
when the vehicle is in a driving mode, determining whether the driving cycle number reaches a preset number threshold or whether the driving mileage reaches a preset mileage threshold under the conditions that the vehicle state is neutral and stationary, the engine is free from faults and the clutch is free from faults.
In some embodiments, the performing a self-learning process of the clutch according to the self-learning instruction, determining a target parameter of the clutch includes:
sending a quick-release instruction to the clutch, keeping a first preset time, and recording the position as a maximum release position;
sending a slow-closing instruction to the clutch, monitoring a motor rotating speed signal, and recording the position as a sliding point position when the motor rotating speed meets a first preset rotating speed condition;
the clutch continues to be engaged, and when the motor rotation speed meets a second rotation speed condition and is kept for a second preset time, the position is recorded as an engagement position;
and respectively and automatically learning the maximum separation position, the sliding point position and the engagement position of the clutch twice, and determining final target parameters of the clutch according to the results of the two times.
In some embodiments, the maximum release position, the slip point position, and the engagement position for the clutch are automatically learned twice, respectively, and the final target parameter of the clutch is determined according to the results of the two times, including:
executing the clutch self-learning process twice to obtain candidate positions of each target parameter after the clutch self-learning twice;
calculating the absolute value of the deviation of the candidate position of each parameter after the two self-learning;
if the absolute value of the deviation is smaller than the corresponding preset position threshold value, calculating each clutch after self-learning twice
An average value of candidate positions of the parameters, and determining the average value as a corresponding target position;
and if the absolute value of the deviation is determined to be greater than or equal to the corresponding preset position threshold value, continuing to execute the next clutch self-learning process until the absolute value of the deviation of the candidate position of each parameter after the last two self-learning processes is less than the corresponding preset position threshold value, calculating the average value of the candidate positions of each parameter after multiple clutch self-learning processes, and determining the average value as the corresponding target position.
In some embodiments, after the final target parameter of the clutch is determined according to the result of the two steps, the method further comprises:
the clutch position is restored to the position before self-learning;
and storing the positions of the sliding points, the separation points and the engagement points, and clearing the driving cycle times and the driving mileage.
In some embodiments, further comprising:
if the user intervention is monitored in the automatic learning process, directly exiting the automatic learning mode;
the clutch position is restored to the position before self-learning, and the driving cycle times and the driving mileage before self-learning of the clutch are kept unchanged.
A second aspect provides a vehicle clutch self-learning device comprising:
the monitoring unit is used for determining whether the driving cycle times or the driving mileage meet the triggering conditions of clutch self-learning in the driving process of the vehicle;
the generating unit is used for generating a clutch self-learning instruction if the triggering condition is met, and the clutch enters a self-learning mode;
and the execution unit is used for carrying out the self-learning process of the clutch according to the self-learning instruction when the clutch is in the self-learning mode, and determining the target parameters of the clutch.
A third aspect provides a computer device comprising a memory and a processor, the memory having stored therein computer readable instructions which, when executed by the processor, cause the processor to perform the steps of the vehicle clutch self-learning method described above.
A fourth aspect provides a storage medium storing computer readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the vehicle clutch self-learning method described above.
A fifth aspect provides a hybrid vehicle comprising the vehicle clutch self-learning device described above.
The vehicle clutch self-learning method, the device, the equipment, the medium and the hybrid vehicle firstly determine whether the driving cycle times or the driving mileage of the vehicle in the driving process meet the triggering condition of clutch self-learning; secondly, if the trigger condition is met, a clutch self-learning instruction is generated, an engine starting instruction is sent to the engine, and the clutch enters a self-learning mode; and finally, under the condition that the clutch is in a self-learning mode, carrying out a self-learning process of the clutch according to the self-learning instruction, and determining target parameters of the clutch. According to the self-learning control method and device, the self-learning instruction is triggered by judging the number of driving cycles and the driving mileage inside the controller, so that the rationality of the self-learning frequency is ensured, the frequent triggering of the self-learning in a single driving cycle is avoided, and the driver intention is taken as the first execution sequence in the self-learning process.
Drawings
FIG. 1 is a flow chart of a method of vehicle clutch self-learning in one embodiment;
FIG. 2 is a flow chart of a method of vehicle clutch self-learning in another embodiment;
FIG. 3 is a flow chart of a method of vehicle clutch self-learning in another embodiment;
FIG. 4 is a control effect diagram of a vehicle clutch self-learning method in one embodiment;
fig. 5 is a block diagram of a vehicle clutch self-learning device in one embodiment.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
For easy understanding, technical terms related to the embodiments of the present invention will be explained first:
number of driving cycles (num Cycle): reading the stored driving cycle number EE when the key is powered on and powered off last time, taking each key power on as the beginning of one driving cycle and accumulating the number of times, and storing the driving cycle number into an EEPROM when the key is powered off;
mileage (LSum): and when the key is powered on, the stored running mileage EE is read when the key is powered off last time, the running mileage EE is accumulated by the speed multiplied by the running step length, and when the key is powered off, the running mileage (LSum) is stored in the EEPROM.
The hybrid vehicle of the embodiment of the invention may include at least one engine and at least one electric motor. The engine, the motor, the transmission, and the clutch are components typically mounted in a hybrid vehicle, which typically has a controller that controls the entire vehicle, and thus a detailed description thereof will be omitted in this specification.
The states of the engine, motor, transmission, clutch are monitored while the hybrid vehicle is running to learn the operation of the clutch. The controller may be configured to determine whether the clutch position automatic learning condition is satisfied when the vehicle makes a power mode switch, and to perform the clutch position automatic learning by controlling the disengagement or engagement of the clutch when the clutch position automatic learning condition is satisfied.
As shown in fig. 1 to 2, in one embodiment, a vehicle clutch self-learning method is provided, which may specifically include the following steps:
step 101, determining whether the driving cycle times or the driving mileage of a vehicle in the driving process meet the triggering condition of clutch self-learning;
1) The controller judges whether the clutch position automatic learning condition is satisfied according to the current state of the hybrid vehicle, and if the clutch position automatic learning condition is satisfied, the clutch enters an automatic learning state.
2) When the clutch enters an automatic learning state, the position of the clutch to learn is judged and the position is learned. In the running process of the hybrid electric vehicle, the key positions of the clutch are required to be relearned and stored in the EEPROM so as to achieve the purpose of correcting the key positions of the clutch. The learning position points of the clutch are three, namely a maximum separation point, a minimum combination point and a sliding friction point of the clutch.
Wherein, the maximum release point is the maximum position that can be reached when the clutch is released; the minimum engagement point is the minimum position that can be reached when the clutch is engaged; the slip point refers to the position during clutch engagement in a slip state.
When the vehicle runs, two working condition modes of an electric-only mode and a hybrid power mode exist, and generally if the vehicle is in the electric-only mode, the clutch is in a separation state at the moment, and the motor provides the power of the whole vehicle. If the vehicle is in the hybrid mode, the clutch is in a combined state, and the engine or the engine and the motor provide the whole vehicle power. The controller may determine the location of the learning based on the operating mode of the vehicle.
After entering an automatic learning state, the clutch is controlled to be separated or combined, and the positions of the clutch when the clutch is completely separated, completely combined and the clutch starts to slide are recorded to be respectively used as a maximum separation point, a minimum combination point and a slide friction point.
102, if the triggering condition is met, generating a clutch self-learning instruction, and sending an engine starting instruction to an engine, wherein the clutch enters a self-learning mode;
as shown in fig. 2, in some embodiments, determining whether the number of driving cycles or the range of the vehicle while traveling satisfies the trigger condition for clutch self-learning includes:
when the vehicle is in a driving mode, determining whether the driving cycle number reaches a preset number threshold or whether the driving mileage reaches a preset mileage threshold under the conditions that the vehicle state is neutral and stationary, the engine is free from faults and the clutch is free from faults.
When the vehicle is in a running mode, and the vehicle is in a neutral rest state, the engine is free from faults, the clutch is free from faults, the energy mode is a hybrid or pure engine mode and a clutch self-learning instruction is sent, the vehicle enters the clutch self-learning mode from the running mode and starts clutch self-learning.
The vehicle is powered ON in the ON gear, screwed to the START gear, and the high-voltage system is powered ON or the engine is started, so that the vehicle enters a DRIVE mode;
when the vehicle state is neutral stationary, the engine is not faulty, the clutch is not faulty, the energy mode is a hybrid or engine-only mode, and the clutch self-learning command is issued, the vehicle enters a CLTHLRN (clutch self-learning) mode from a DRIVE mode, and clutch self-learning is started.
Step 103, when the clutch is in the self-learning mode, according to the self-learning instruction, performing the self-learning process of the clutch, and determining the target parameters of the clutch.
As shown in fig. 2, in some embodiments, performing a self-learning process of the clutch according to the self-learning instruction, determining a target parameter of the clutch includes:
step 1031, sending a quick-release instruction to a clutch, keeping a first preset time, and recording the position as a maximum release position;
in the step, the current clutch position is recorded first; sending a quick-release instruction to the clutch, keeping for a period of time t1, and recording the position as a maximum release position;
step 1032, sending a slow-closing instruction to the clutch, monitoring a motor rotating speed signal, and recording the position as a sliding point position when the motor rotating speed meets a first preset rotating speed condition;
in the step, a slow-closing instruction is sent to a clutch, a motor rotating speed (nMT) signal is monitored, and when n1 (20 rpm, calibratable) is more than or equal to nMT and less than or equal to n2 (50 rpm, calibratable), the position is recorded as a sliding point position;
step 1033, continuously engaging the clutch, and recording the position as an engaging position when the motor rotation speed meets a second rotation speed condition and is kept for a second preset time;
in the step, the clutch continues to be engaged until nMT is more than or equal to n2 and is kept for a period of time t2, and the position is recorded as an engagement position;
step 1034, automatically learning the maximum separation position, the slip point position and the engagement position of the clutch twice respectively, and determining the final target parameters of the clutch according to the results of the two times.
The method specifically comprises the following steps:
step 1024a, executing the clutch self-learning process twice to obtain candidate positions of each target parameter after the clutch self-learning twice;
step 1024b, calculating the absolute value of the deviation of the candidate position of each parameter after the two self-learning;
step 1024c, if the absolute value of the deviation is smaller than the corresponding preset position threshold value, calculating the average value of the candidate positions of each parameter after the clutch self-learning twice, and determining the average value as the corresponding target position;
step 1024d, if the absolute value of the deviation is greater than or equal to the corresponding preset position threshold, continuing to execute the next clutch self-operation
Step 1024e, learning until the absolute value of the deviation of the candidate position of each parameter after the last two self-learning is smaller than the corresponding preset position threshold, calculating the average value of the candidate positions of each parameter after multiple clutch self-learning, and determining the average value as the corresponding target position.
And (3) position verification: if the difference value of the two position values of the same position is within an acceptable range, the self-learning verification is determined to be successful, and numCycle and LSum are cleared; otherwise, if the verification fails, the numCycle and the LSum keep the last time value;
and restoring the clutch position to the position before self-learning, and completing single self-learning.
In some embodiments, after the final target parameter of the clutch is determined according to the result of the two steps, the method further comprises:
the clutch position is restored to the position before self-learning;
and storing the positions of the sliding points, the separation points and the engagement points, and clearing the driving cycle times and the driving mileage.
In some embodiments, the method further comprises:
if the user intervention is monitored in the automatic learning process, directly exiting the automatic learning mode;
the clutch position is restored to the position before self-learning, and the driving cycle times and the driving mileage before self-learning of the clutch are kept unchanged.
If the driver intervenes in the self-learning process, such as engaging in gears, stepping on the accelerator, releasing the brake, etc., the clutch is restored to the original position no matter whether the self-learning process is completed or not, and the self-learning is exited, so that the vehicle responds to the intention of the relevant driver.
In some embodiments, the method further comprises exiting the ambulatory learning mode if the number of consecutive failures of learning after entering the automatic learning mode reaches a set number.
As shown in fig. 3, if the vehicle is in a DRIVE state with a neutral rest for a long period and the self-learning multiple verification fails, the numCycle and LSum are not cleared, which may cause frequent jumps between the DRIVE and CLTHLRN modes, and to prevent this, the following measures are added:
1. prohibiting the self-learning again within 5 seconds after the self-learning is finished;
2. the DRIVE and CLTHLRN states are clocked (Timer) and counted (Counter) for a fault-free condition, and entry from the DRIVE mode to the CLTHLRN mode is disabled when Timer > ti1 or Counter > Cnt 1.
The method takes the driving cycle times and the driving mileage as the self-learning triggering conditions of the clutch; after the self-learning is finished, whether the position check is reasonable or not is determined, if the position check is reasonable, double clearing is carried out, and the next round of counting is carried out; the self-learning process is performed in order of driver intention; and the working condition that the vehicle enters the self-learning state for many times due to the fact that the verification is not passed under the working condition of no failure in parking is avoided. Control effect diagram as shown in fig. 4.
As shown in fig. 5, in one embodiment, a self-learning device for a clutch of a vehicle is provided, which may specifically include:
a monitoring unit 511 for determining whether the number of driving cycles or the driving mileage of the vehicle during driving satisfies a trigger condition for clutch self-learning;
a generating unit 512, configured to generate a clutch self-learning instruction if the triggering condition is met, and send an engine start instruction to the engine, where the clutch enters a self-learning mode;
the execution unit 513 is configured to perform a self-learning process of the clutch according to the self-learning instruction when the clutch is in the self-learning mode, and determine a target parameter of the clutch.
In one embodiment, a computer device is provided, which may include a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
determining whether the driving cycle number or the driving mileage of the vehicle in the driving process meets the triggering condition of clutch self-learning;
if the trigger condition is met, a clutch self-learning instruction is generated, an engine starting instruction is sent to the engine, and the clutch enters a self-learning mode;
and under the condition that the clutch is in a self-learning mode, carrying out a self-learning process of the clutch according to the self-learning instruction, and determining target parameters of the clutch.
In one embodiment, a storage medium storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of:
determining whether the driving cycle number or the driving mileage of the vehicle in the driving process meets the triggering condition of clutch self-learning;
if the trigger condition is met, a clutch self-learning instruction is generated, an engine starting instruction is sent to the engine, and the clutch enters a self-learning mode;
and under the condition that the clutch is in a self-learning mode, carrying out a self-learning process of the clutch according to the self-learning instruction, and determining target parameters of the clutch.
In one embodiment, a hybrid vehicle is provided that includes the vehicle clutch self-learning device of the above embodiment.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored in a computer-readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. The storage medium may be a nonvolatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a random access Memory (Random Access Memory, RAM).
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention, which are described in detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (9)
1. A method of self-learning a vehicle clutch, the method comprising:
determining whether the driving cycle number or the driving mileage of the vehicle in the driving process meets the triggering condition of clutch self-learning;
if the trigger condition is met, a clutch self-learning instruction is generated, an engine starting instruction is sent to the engine, and the clutch enters a self-learning mode;
when the clutch is in a self-learning mode, carrying out a self-learning process of the clutch according to a self-learning instruction, and determining target parameters of the clutch;
the triggering conditions include:
when the vehicle is in a driving mode, determining whether the driving cycle number reaches a preset number threshold or whether the driving mileage reaches a preset mileage threshold under the conditions that the vehicle state is neutral and stationary, the engine is free from faults and the clutch is free from faults.
2. The vehicle clutch self-learning method according to claim 1, wherein the performing a self-learning process of the clutch according to the self-learning instruction, determining a target parameter of the clutch, includes:
sending a quick-release instruction to the clutch, keeping a first preset time, enabling the clutch to reach a first position, and recording the first position as a maximum release position;
sending a slow-closing instruction to the clutch, monitoring a motor rotating speed signal, and recording that the second position is a sliding point position when the motor rotating speed meets a first preset rotating speed condition;
the clutch continues to be engaged, when the rotating speed of the motor meets a second rotating speed condition and is kept for a second preset time, the clutch reaches a third position, and the third position is recorded as an engaging position;
and respectively and automatically learning the maximum separation position, the sliding point position and the engagement position of the clutch twice, and determining final target parameters of the clutch according to the results of the two times.
3. The vehicle clutch self-learning method according to claim 2, wherein the maximum release position, the slip point position, and the engagement position for the clutch are automatically learned twice, respectively, and final target parameters for the clutch are determined based on the results of the twice, comprising:
executing the clutch self-learning process twice to obtain candidate positions of each target parameter after the clutch self-learning twice;
calculating the absolute value of the deviation of the candidate position of each parameter after the two self-learning;
if the absolute value of the deviation is smaller than the corresponding preset position threshold value, calculating each clutch after self-learning twice
An average value of candidate positions of the parameters, and determining the average value as a corresponding target position;
and if the absolute value of the deviation is determined to be greater than or equal to the corresponding preset position threshold value, continuing to execute the next clutch self-learning process until the absolute value of the deviation of the candidate position of each parameter after the last two self-learning processes is less than the corresponding preset position threshold value, calculating the average value of the candidate positions of each parameter after multiple clutch self-learning processes, and determining the average value as the corresponding target position.
4. The vehicle clutch self-learning method according to claim 2, further comprising, after the determining the final target parameter of the clutch based on the results of the two times:
the clutch position is restored to the position before self-learning;
and storing the positions of the sliding points, the separation points and the engagement points, and clearing the driving cycle times and the driving mileage.
5. The vehicle clutch self-learning method of claim 1 further comprising:
if the user intervention is monitored in the automatic learning process, directly exiting the automatic learning mode;
the clutch position is restored to the position before self-learning, and the driving cycle times and the driving mileage before self-learning of the clutch are kept unchanged.
6. A vehicle clutch self-learning device, comprising:
the monitoring unit is used for determining whether the driving cycle times or the driving mileage of the vehicle in the driving process meet the triggering conditions of clutch self-learning;
the generating unit is used for generating a clutch self-learning instruction and sending an engine starting instruction to the engine if the triggering condition is met, and the clutch enters a self-learning mode;
the execution unit is used for carrying out the self-learning process of the clutch according to the self-learning instruction when the clutch is in the self-learning mode, and determining the target parameters of the clutch;
the triggering conditions include:
when the vehicle is in a driving mode, determining whether the driving cycle number reaches a preset number threshold or whether the driving mileage reaches a preset mileage threshold under the conditions that the vehicle state is neutral and stationary, the engine is free from faults and the clutch is free from faults.
7. A computer device comprising a memory and a processor, the memory having stored therein computer readable instructions that, when executed by the processor, cause the processor to perform the steps of the vehicle clutch self-learning method of any one of claims 1 to 5.
8. A storage medium of computer readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the vehicle clutch self-learning method of any one of claims 1 to 5.
9. A hybrid vehicle comprising the vehicle clutch self-learning device according to claim 6.
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| CN115654128B (en) * | 2022-12-09 | 2023-05-30 | 潍柴动力股份有限公司 | Clutch self-learning method and device, hybrid vehicle and storage medium |
| CN116972084B (en) * | 2023-09-20 | 2024-01-16 | 潍柴动力股份有限公司 | Clutch self-learning detection method and device, electronic equipment and storage medium |
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