CN111852676B - Method and system for controlling self-learning of continuous variable valve lift system - Google Patents
Method and system for controlling self-learning of continuous variable valve lift system Download PDFInfo
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- CN111852676B CN111852676B CN201910350632.3A CN201910350632A CN111852676B CN 111852676 B CN111852676 B CN 111852676B CN 201910350632 A CN201910350632 A CN 201910350632A CN 111852676 B CN111852676 B CN 111852676B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D41/00—Electrical control of supply of combustible mixture or its constituents
- F02D41/24—Electrical control of supply of combustible mixture or its constituents characterised by the use of digital means
- F02D41/2406—Electrical control of supply of combustible mixture or its constituents characterised by the use of digital means using essentially read only memories
- F02D41/2425—Particular ways of programming the data
- F02D41/2429—Methods of calibrating or learning
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D13/00—Controlling the engine output power by varying inlet or exhaust valve operating characteristics, e.g. timing
- F02D13/02—Controlling the engine output power by varying inlet or exhaust valve operating characteristics, e.g. timing during engine operation
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D41/00—Electrical control of supply of combustible mixture or its constituents
- F02D41/0002—Controlling intake air
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D41/00—Electrical control of supply of combustible mixture or its constituents
- F02D41/22—Safety or indicating devices for abnormal conditions
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D41/00—Electrical control of supply of combustible mixture or its constituents
- F02D41/22—Safety or indicating devices for abnormal conditions
- F02D41/221—Safety or indicating devices for abnormal conditions relating to the failure of actuators or electrically driven elements
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D13/00—Controlling the engine output power by varying inlet or exhaust valve operating characteristics, e.g. timing
- F02D13/02—Controlling the engine output power by varying inlet or exhaust valve operating characteristics, e.g. timing during engine operation
- F02D2013/0296—Changing the valve lift only
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D41/00—Electrical control of supply of combustible mixture or its constituents
- F02D41/0002—Controlling intake air
- F02D2041/001—Controlling intake air for engines with variable valve actuation
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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
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/12—Improving ICE efficiencies
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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
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
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- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Valve Device For Special Equipments (AREA)
- Output Control And Ontrol Of Special Type Engine (AREA)
Abstract
The invention provides a method and a system for controlling self-learning of a continuous variable valve lift system, wherein the method comprises the steps of acquiring a top dead center self-learning result and a reliability result of a lift signal and judging whether the continuous variable valve lift system needs self-learning or not in the running process of an engine; if the continuous variable valve lift system needs self-learning, judging whether the continuous variable valve lift system can perform self-learning or not, if the continuous variable valve lift system does not need self-learning, the continuous variable valve lift system enters a normal lift control mode, if the continuous variable valve lift system can perform self-learning, controlling the continuous variable valve lift system to perform self-learning, and if the continuous variable valve lift system cannot perform self-learning, controlling the continuous variable valve lift system to enter a fault lift control mode. The method and the system can effectively solve the problem of low accuracy of lift control of the continuous variable valve lift system.
Description
Technical Field
The invention relates to the technical field of vehicles, in particular to a method and a system for controlling self-learning of a continuous variable valve lift system.
Background
With the continuous consumption of energy and the increasing emission requirements of automobiles, the engine dynamic property, the economical efficiency and the emission of vehicles become important concerns. Because the vehicle can adopt a CVVL (Continuously variable valve lift) device to change the valve lift according to different working conditions of the engine, the pumping loss and the friction loss are reduced, the oil consumption is reduced, and the power of the engine is improved, so that the application of the Continuously variable valve lift system in the vehicle becomes a new trend.
In the process of adjusting the valve lift of the engine by the continuous variable valve lift system to control the intake air amount of the engine, the precise control of the valve lift by the continuous variable valve lift system is a necessary condition for the stable operation of the vehicle. However, the mechanical structure of the continuous variable valve lift system is complex, and if the valve lift is to be accurately controlled, the continuous variable valve lift system needs to perform self-learning before the vehicle is powered on and started, that is, the continuous variable valve lift system needs to check and record the function of the continuous variable valve lift system and the valve lift information.
The self-learning of the continuous variable valve lift system generally comprises the steps that in a non-rotating state of an engine, a controller drives a CVVL device to move by controlling a CVVL motor, the work information of the CVVL motor in the movement process of the CVVL device is detected, the work information of the CVVL motor is fed back to the controller, the work information of the CVVL motor when the CVVL device reaches a top dead center and/or a bottom dead center is obtained after analysis through the controller, so that the dead center information of the CVVL device is obtained, and the controller carries out accurate lift control by using the obtained dead center information and the valve lift information of the engine.
However, the self-learning of the current continuous variable valve lift system occurs in a non-rotating state of the engine, if external interference or electrical fault easily causes the loss of valve lift information in the operation process of the engine, even if the fault is repaired, the valve lift information cannot be recovered, accurate lift control cannot be performed afterwards, the vehicle can only run in a fault mode under the driving cycle, and the robustness of a vehicle control system is easily reduced. In addition, under some extreme conditions, the CVVL device may not be able to perform self-learning in time before starting, resulting in failure of accurate lift control by the CVVL device.
Disclosure of Invention
The invention aims to provide a method and a system for controlling self-learning of a continuous variable valve lift system, which aim to solve the problem of low accuracy of lift control of the conventional continuous variable valve lift system.
In order to solve the technical problem, the invention provides a method for controlling the self-learning of a continuous variable valve lift system, which comprises the steps of acquiring a top dead center self-learning result and a reliability result of a lift signal and judging whether the continuous variable valve lift system needs self-learning or not in the running process of an engine; if the continuous variable valve lift system needs self-learning, judging whether the continuous variable valve lift system can carry out self-learning, if the continuous variable valve lift system does not need self-learning, the continuous variable valve lift system enters a normal lift control mode, if the continuous variable valve lift system can carry out self-learning, controlling the continuous variable valve lift system to carry out self-learning, and if the continuous variable valve lift system cannot carry out self-learning, controlling the continuous variable valve lift system to enter a fault lift control mode.
Optionally, the determining whether the continuous variable valve lift system needs to be self-learned includes: judging whether the current cycle lift self-learning is performed, if the current cycle lift self-learning is performed, judging whether the current cycle lift self-learning is successful, if the current cycle lift self-learning is successful, judging whether a current cycle lift signal is credible, if the current cycle lift signal is not credible, the continuous variable valve lift system needs to self-learn, if the current cycle lift signal is credible, the continuous variable valve lift system does not need to self-learn, if the current cycle lift self-learning is not successful, the continuous variable valve lift system needs to self-learn, and if the current cycle lift self-learning is not performed, the continuous variable valve lift system needs to self-learn.
Optionally, the determining whether the continuous variable valve lift system is capable of self-learning includes: and judging whether the self-learning frequency of the continuous variable valve lift system exceeds a preset frequency, if so, not enabling the continuous variable valve lift system to self-learn, and if not, enabling the continuous variable valve lift system to self-learn.
Optionally, the determining whether the continuous variable valve lift system is capable of self-learning further includes: sending an enabling flag bit to a CVVL (constant voltage variable video) motor, wherein the enabling flag bit is used for appointing the time when the CVVL device is ready to carry out self-learning; the CVVL motor and the CVVL device are prepared for self-learning according to the enabling flag bit; judging whether the CVVL motor and the CVVL device are ready or not, and if the CVVL motor and the CVVL device are ready, enabling the continuous variable valve lift system to be self-learned; if the CVVL motor and the CVVL device are not ready, the continuously variable valve lift system is not self-learning.
Optionally, the determining whether the continuous variable valve lift system is capable of self-learning further includes: and judging whether the CVVL motor and/or the CVVL device has a fault, if the CVVL motor and/or the CVVL device has a fault, entering a fault lift control mode, and if the CVVL motor and/or the CVVL device has no fault, enabling the continuous variable valve lift system to be self-learned.
Optionally, before determining whether the CVVL motor and/or the CVVL device fails, an allowable flag bit is sent to the CVVL motor, and the allowable flag bit is used for specifying a self-learning time of the CVVL device.
Optionally, the controlling the continuous variable valve lift system to perform self-learning includes: sending a learning instruction to a CVVL (continuously variable video) motor; the CVVL motor controls the CVVL device to move according to the learning instruction; and acquiring rotation information of the CVVL motor, and analyzing the rotation information of the CVVL motor to acquire position information of the CVVL motor when the CVVL device reaches a top dead center.
Optionally, the method further includes determining whether the position information of the CVVL motor is within a predetermined threshold range when the CVVL device reaches the top dead center, and generating a top dead center self-learning result, where if the position information of the CVVL motor is within the predetermined threshold range when the CVVL device reaches the top dead center, the self-learning of the continuous variable valve lift system is successful, and if the position information of the CVVL motor is not within the predetermined threshold range when the CVVL device reaches the top dead center, the self-learning of the continuous variable valve lift system is failed.
The invention also provides a system for controlling the self-learning of the continuous variable valve lift system, which comprises the following components: the first judgment module is used for acquiring a top dead center self-learning result and a reliability result of a lift signal and judging whether the continuous variable valve lift system needs self-learning or not in the running process of the engine; the second judgment module is used for judging whether the continuous variable valve lift system can perform self-learning or not; the learning module is used for controlling the continuous variable valve lift system to perform self-learning; a normal lift control module for controlling the continuously variable valve lift system in a normal lift control mode; a fault lift control module to control the continuously variable valve lift system in a fault lift control mode.
Optionally, the first determining module includes: the first self-learning judging module is used for judging whether the current cycle lift self-learning is performed or not; the second self-learning judging module is used for judging whether the current cycle lift self-learning succeeds or not; and the lift signal judging module is used for judging whether the current cycle lift signal is credible or not.
Optionally, the second determining module includes: and the self-learning frequency judging module is used for judging whether the self-learning frequency of the continuous variable valve lift system exceeds a preset frequency.
Optionally, the continuously variable valve lift system includes a CVVL motor and a CVVL device, and the second determination module further includes: the enabling output module is used for sending an enabling flag bit to the CVVL motor, and the enabling flag bit is used for appointing the time when the CVVL device is ready for self-learning; the self-learning judging module is used for judging whether the CVVL motor and the CVVL device are ready or not; and the fault judgment module is used for judging whether the CVVL motor and/or the CVVL device has faults or not.
Optionally, the enable output module is further configured to send an enable flag bit to the CVVL motor, where the enable flag bit is used to specify a self-learning time of the CVVL device.
Optionally, the continuously variable valve lift system comprises a CVVL motor and a CVVL device, and the learning module comprises: the instruction output module is used for sending a learning instruction to the CVVL motor; and the analysis module is used for acquiring the rotation information of the CVVL motor and analyzing the rotation information of the CVVL motor to acquire the position information of the CVVL motor when the CVVL device reaches a top dead center.
Optionally, the system further comprises a result generation module, configured to determine whether position information of the CVVL motor is within a predetermined threshold range when the CVVL device reaches the top dead center, and generate a top dead center self-learning result.
The self-learning method and the self-learning system for controlling the continuous variable valve lift system have the following beneficial effects that:
in the running process of the engine, the upper dead point self-learning result and the reliability result of the lift signal are obtained, whether the continuous variable valve lift system needs self-learning or not is judged, whether the continuous variable valve lift system can perform self-learning or not is judged, and the continuous variable valve lift system is controlled to perform self-learning only when the continuous variable valve lift system needs and can perform self-learning, so that the continuous variable valve lift system can perform self-learning in the running process of the engine, the upper dead point self-learning result can be obtained in the running process of the engine, the continuous variable valve lift system can perform accurate lift control conveniently, the robustness of the continuous variable valve lift system is enhanced, after-sale complaints are reduced, and the customer satisfaction degree is increased. Particularly, under the conditions that the vehicle is subjected to electromagnetic interference or accidental electrical faults, and the self-learning of the continuous variable valve lift system cannot be completed in time before the engine is started, the self-learning system of the continuous variable valve lift system can acquire the information of the upper dead center again in time, so that the continuous variable valve lift system can still perform accurate lift control.
Drawings
FIG. 1 is a flow chart of a method of controlling self-learning of a continuously variable valve lift system in one embodiment of the invention;
FIG. 2 is a flow chart of determining whether a continuous variable valve lift system requires self-learning in one embodiment of the present invention;
FIG. 3 is a flow chart of determining whether a continuous variable valve lift system is capable of self-learning in one embodiment of the invention;
FIG. 4 is a flow chart for controlling a continuous variable valve lift system for self-learning in accordance with an embodiment of the present invention;
FIG. 5 is a block diagram of a system for controlling self-learning of a continuously variable valve lift system in an embodiment of the present invention.
Description of the reference numerals:
100-a first judgment module; 110-a first self-learning judgment module; 120-a second self-learning judgment module; 130-lift signal determination module;
200-a second judgment module; 210-a self-learning frequency judging module; 220-enable output module; 230-self-learning judging module; 240-fault judgment module;
300-a learning module; 310-an instruction output module; 320-an analysis module;
400-normal lift control module;
500-fault lift control module;
600-a result generation module;
700-CVVL motor;
800-CVVL device.
Detailed Description
The method and the system for controlling the self-learning of the continuous variable valve lift system according to the present invention are further described in detail with reference to the accompanying drawings and the specific embodiments. Advantages and features of the present invention will become apparent from the following description and from the claims. It is to be noted that the drawings are in a very simplified form and are not to precise scale, which is provided for the purpose of facilitating and clearly illustrating embodiments of the present invention.
The embodiment provides a method for controlling self-learning of a continuous variable valve lift system. Referring to fig. 1, fig. 1 is a flowchart of a method for controlling self-learning of a continuous variable valve lift system according to an embodiment of the present invention, and the method for controlling self-learning of a continuous variable valve lift system includes:
and S100, in the running process of the engine, acquiring a top dead center self-learning result and a reliability result of a lift signal and judging whether the continuous variable valve lift system needs self-learning, if the continuous variable valve lift system needs self-learning, executing S200, and if the continuous variable valve lift system does not need self-learning, executing S300.
And step S200, judging whether the continuous variable valve lift system can perform self-learning, if so, executing step S400, and if not, executing step S500.
In step S300, the continuously variable valve lift system enters a normal lift control mode.
And S400, controlling the continuous variable valve lift system to carry out self-learning.
And step S500, controlling the continuous variable valve lift system to enter a fault lift control mode.
In the running process of the engine, the upper dead point self-learning result and the reliability result of the lift signal are obtained, whether the continuous variable valve lift system needs self-learning or not is judged, whether the continuous variable valve lift system can carry out self-learning or not is judged, and the continuous variable valve lift system is controlled to carry out self-learning only when the continuous variable valve lift system needs and can carry out self-learning, so that the continuous variable valve lift system can carry out self-learning in the running process of the engine, the upper dead point self-learning result can be obtained in the running process of the engine, the continuous variable valve lift system can conveniently carry out accurate lift control, the robustness of the continuous variable valve lift system is enhanced, after-sale complaints are reduced, and the customer satisfaction degree is increased. Particularly, under the conditions that the vehicle is subjected to electromagnetic interference or accidental electrical faults, and the self-learning of the continuous variable valve lift system cannot be completed in time before the engine is started, the self-learning system of the continuous variable valve lift system can acquire the information of the upper dead center again in time, so that the continuous variable valve lift system can still perform accurate lift control.
Referring to fig. 2, fig. 2 is a flowchart illustrating a method for determining whether a continuous variable valve lift system needs to be self-learned according to an embodiment of the present invention, where the determining whether the continuous variable valve lift system needs to be self-learned includes:
and step S110, judging whether the current cycle lift self-learning is performed, if the current cycle lift self-learning is performed, executing step S120, and if the current cycle lift self-learning is not performed, executing step S150.
And step S120, judging whether the current cycle lift self-learning succeeds, if so, executing step S130, and if not, executing step S150.
Step S130, determining whether the current cycle lift signal is authentic, if the current cycle lift signal is not authentic, performing step S150, and if the current cycle lift signal is authentic, performing step S140.
In step S140, the continuous variable valve lift system does not require self-learning.
In step S150, the continuous variable valve lift system needs self-learning.
Referring to fig. 3, fig. 3 is a flowchart illustrating determining whether the continuous variable valve lift system is capable of self-learning according to an embodiment of the present invention, where determining whether the continuous variable valve lift system is capable of self-learning includes:
Step S210, judging whether the self-learning frequency of the continuous variable valve lift system exceeds a preset frequency, if not, executing step S220, and if the self-learning frequency of the continuous variable valve lift system exceeds the preset frequency, executing step S280.
And step S220, sending an enable flag bit to the CVVL motor, wherein the enable flag bit is used for appointing the time when the CVVL device is ready for self-learning.
And step S230, the CVVL motor and the CVVL device are prepared for self-learning according to the enabling flag bit.
And a step S240 of determining whether the CVVL motor and the CVVL device are ready, and if the CVVL motor and the CVVL device are ready, performing the step S250, and if the CVVL motor and the CVVL device are not ready, performing the step S280.
And step S250, sending an allowable flag bit to the CVVL motor, wherein the allowable flag bit is used for appointing the self-learning time of the CVVL device. Since the permission flag includes the self-learning time of the CVVL device, the CVVL motor can control the self-learning time of the CVVL device according to the permission flag, so that the engine can still run smoothly during the self-learning process of the continuous variable valve lift system.
And step S260, determining whether the CVVL motor and/or the CVVL device has a fault, if the CVVL motor and/or the CVVL device has a fault, executing step S280, and if the CVVL motor and/or the CVVL device has no fault, executing step S270.
In step S270, the continuous variable valve lift system can be self-learning.
In step S280, the continuously variable valve lift system enters a malfunction lift control mode.
Referring to fig. 4, fig. 4 is a flow chart of controlling the continuous variable valve lift system to perform self-learning according to an embodiment of the present invention, where the controlling the continuous variable valve lift system to perform self-learning includes:
in step S410, a learning command is sent to the CVVL motor.
And step S420, controlling the CVVL device to move by the CVVL motor according to the learning command.
And step S430, acquiring rotation information of the CVVL motor, and analyzing the rotation information of the CVVL motor to acquire position information of the CVVL motor when the CVVL device reaches a top dead center.
Because the position information of the CVVL motor is only required to be acquired when the CVVL device reaches the top dead center, and the position information of the CVVL motor is not required to be acquired when the CVVL device reaches the bottom dead center, the problem that the engine is stalled due to the fact that the CVVL device reaches the bottom dead center in the running process of the engine can be effectively avoided.
The method for controlling the self-learning of the continuous variable valve lift system further includes step S600.
And S600, judging whether the position information of the CVVL motor is located in a preset threshold range when the CVVL device reaches the top dead center, and generating a top dead center self-learning result, wherein if the position information of the CVVL motor is located in the preset threshold range when the CVVL device reaches the top dead center, the self-learning of the continuous variable valve lift system is successful, and if the position information of the CVVL motor is not located in the preset threshold range when the CVVL device reaches the top dead center, the self-learning of the continuous variable valve lift system is failed.
The present embodiment also provides a system for controlling self-learning of a continuously variable valve lift system. Referring to fig. 5, fig. 5 is a block diagram illustrating a system for controlling self-learning of a continuous variable valve lift system according to an embodiment of the present invention, which includes a first determining module 100, a second determining module 200, a learning module 300, a normal lift control module 400, and a malfunction lift control module 500. The continuously variable valve lift system includes a CVVL motor 700 and a CVVL device 800.
The first judging module 100 is used for acquiring a top dead center self-learning result and a reliability result of a lift signal and judging whether the continuous variable valve lift system needs self-learning or not in the running process of the engine.
Specifically, the first determination module 100 includes a first self-learning determination module 110, a second self-learning determination module 120, and a lift signal determination module 130.
The first self-learning determination module 110 is configured to determine whether the current cycle lift self-learning has been performed. The second self-learning determination module 120 is configured to determine whether the current cycle lift self-learning is successful. The lift signal determination module 130 is configured to determine whether the current cycle lift signal is authentic.
The second determination module 200 is used to determine whether the continuous variable valve lift system is capable of self-learning.
Specifically, the second determining module 200 includes a self-learning frequency determining module 210, an enabling output module 220, a self-learning determining module 230, and a fault determining module 240. The self-learning number determination module 210 is configured to determine whether the number of self-learning times of the continuous variable valve lift system exceeds a predetermined number of times. The enable output module 220 is configured to issue an enable flag to the CVVL-motor 700, and to issue an enable flag to the CVVL-motor 700, wherein the enable flag is used to specify a time when the CVVL-device 800 is ready for self-learning, and the enable flag is used to specify a time when the CVVL-device 800 is self-learning. The self-learning judging module 230 is used for judging whether the CVVL motor 700 and the CVVL device 800 are ready. The fault determination module 240 is configured to determine whether the CVVL motor 700 and/or the CVVL device 800 has a fault.
The learning module 300 is used to control the continuous variable valve lift system for self-learning. The learning module 300 includes a command output module 310 and an analysis module 320, wherein the command output module 310 is configured to send a learning command to the CVVL motor 700. The analysis module 320 is configured to obtain rotation information of the CVVL motor 700, and analyze the rotation information of the CVVL motor 700 to obtain position information of the CVVL motor 700 when the CVVL device 800 reaches a top dead center.
The normal lift control module 400 is used to control the continuously variable valve lift system in a normal lift control mode.
The fault lift control module 500 is configured to control the continuously variable valve lift system in a fault lift control mode.
The system for controlling the self-learning of the continuous variable valve lift system further comprises a result generation module 600, and the result generation module 600 is used for judging whether the position information of the CVVL motor 700 is within a preset threshold range when the CVVL device 800 reaches the top dead center and generating a top dead center self-learning result.
The above description is only for the purpose of describing the preferred embodiments of the present invention, and is not intended to limit the scope of the present invention, and any variations and modifications made by those skilled in the art based on the above disclosure are within the scope of the appended claims.
Claims (15)
1. A self-learning method for controlling a continuous variable valve lift system is characterized by comprising
In the running process of the engine, acquiring a top dead center self-learning result and a reliability result of a lift signal and judging whether a continuous variable valve lift system needs self-learning or not;
if the continuous variable valve lift system needs self-learning, judging whether the continuous variable valve lift system can carry out self-learning, if the continuous variable valve lift system does not need self-learning, entering a normal lift control mode,
and if the continuous variable valve lift system is judged to be capable of self-learning, controlling the continuous variable valve lift system to self-learn, and if the continuous variable valve lift system is judged to be incapable of self-learning, controlling the continuous variable valve lift system to enter a fault lift control mode.
2. The method of controlling self-learning of a continuously variable valve lift system as recited in claim 1 wherein determining whether the continuously variable valve lift system requires self-learning comprises:
judging whether the current cycle lift self-learning is performed or not,
if the current cycle lift self-learning is performed, judging whether the current cycle lift self-learning is successful or not,
If the current cycle lift self-learning succeeds, judging whether the current cycle lift signal is credible,
if the current cycle lift signal is not trusted, the continuously variable valve lift system needs self-learning,
if the current cycle lift signal is authentic, the continuous variable valve lift system does not need self-learning,
if the self-learning of the current cyclic lift is not successful, the continuous variable valve lift system needs to be self-learned,
and if the current cycle lift self-learning is not performed, the continuous variable valve lift system needs to self-learn.
3. The method of controlling self-learning of a continuously variable valve lift system as recited in claim 1, wherein determining whether the continuously variable valve lift system is capable of self-learning comprises: and judging whether the self-learning frequency of the continuous variable valve lift system exceeds a preset frequency, if so, the continuous variable valve lift system cannot self-learn, and if not, the continuous variable valve lift system can self-learn.
4. The method of controlling self-learning of a continuously variable valve lift system as recited in claim 1 wherein determining whether the continuously variable valve lift system is capable of self-learning further comprises:
Sending an enabling flag bit to a CVVL (constant voltage variable video) motor, wherein the enabling flag bit is used for appointing the moment when the CVVL device is ready for self-learning;
the CVVL motor and the CVVL device are prepared for self-learning according to the enabling flag bit; and
judging whether the CVVL motor and the CVVL device are ready, and if the CVVL motor and the CVVL device are ready, enabling the continuous variable valve lift system to be self-learned; if the CVVL motor and the CVVL device are not ready, the continuously variable valve lift system is not self-learning.
5. The method of controlling self-learning of a continuously variable valve lift system as recited in claim 4 wherein determining whether the continuously variable valve lift system is capable of self-learning further comprises:
and judging whether the CVVL motor and/or the CVVL device has a fault or not, if the CVVL motor and/or the CVVL device has a fault, entering a fault lift control mode, and if the CVVL motor and/or the CVVL device has no fault, enabling the continuous variable valve lift system to be self-learned.
6. The method of controlling the self-learning of the continuous variable valve lift system according to claim 5, wherein an enable flag is issued to the CVVL motor before it is determined whether the CVVL motor and/or the CVVL device is malfunctioning, the enable flag being used to designate a time when the CVVL device is self-learning.
7. The method of controlling self-learning of a continuously variable valve lift system as recited in claim 1 wherein controlling self-learning of the continuously variable valve lift system comprises:
sending a learning instruction to a CVVL (continuously variable video) motor;
the CVVL motor controls the CVVL device to move according to the learning instruction;
and acquiring rotation information of the CVVL motor, and analyzing the rotation information of the CVVL motor to acquire position information of the CVVL motor when the CVVL device reaches a top dead center.
8. The method of controlling self-learning of the continuous variable valve lift system of claim 7, further comprising determining whether the position information of the CVVL motor is within a predetermined threshold range when the CVVL device reaches the top dead center, and generating a top dead center self-learning result, wherein the self-learning of the continuous variable valve lift system is successful if the position information of the CVVL motor is within the predetermined threshold range when the CVVL device reaches the top dead center, and the self-learning of the continuous variable valve lift system is unsuccessful if the position information of the CVVL motor is not within the predetermined threshold range when the CVVL device reaches the top dead center.
9. A system for controlling self-learning of a continuously variable valve lift system, comprising:
the first judgment module is used for acquiring a top dead center self-learning result and a reliability result of a lift signal and judging whether the continuous variable valve lift system needs self-learning or not in the running process of the engine;
The second judgment module is used for judging whether the continuous variable valve lift system can carry out self-learning;
the learning module is used for controlling the continuous variable valve lift system to carry out self-learning;
a normal lift control module for controlling the continuously variable valve lift system in a normal lift control mode;
a fault lift control module to control the continuously variable valve lift system in a fault lift control mode.
10. The system for controlling self-learning of a continuously variable valve lift system as recited in claim 9 wherein said first determining module comprises:
the first self-learning judging module is used for judging whether the current cycle lift self-learning is performed or not;
the second self-learning judging module is used for judging whether the current cycle lift self-learning is successful or not; and
and the lift signal judging module is used for judging whether the current cycle lift signal is credible.
11. The system of controlling self-learning of a continuously variable valve lift system as set forth in claim 9, wherein the second determination module comprises:
and the self-learning frequency judging module is used for judging whether the self-learning frequency of the continuous variable valve lift system exceeds a preset frequency.
12. The system for controlling self-learning of a continuously variable valve lift system as claimed in claim 11, wherein the continuously variable valve lift system comprises a CVVL motor and a CVVL device, the second determination module further comprising:
The enabling output module is used for sending an enabling flag bit to the CVVL motor, and the enabling flag bit is used for appointing the time when the CVVL device is ready for self-learning;
the self-learning judging module is used for judging whether the CVVL motor and the CVVL device are ready or not; and
and the fault judgment module is used for judging whether the CVVL motor and/or the CVVL device has a fault or not.
13. The system for controlling self-learning of a continuously variable valve lift system as recited in claim 12 wherein the enable output module is further configured to issue an enable flag to the CVVL motor, the enable flag specifying a time of self-learning of the CVVL device.
14. The system of controlling self-learning of a continuously variable valve lift system as claimed in claim 9, wherein the continuously variable valve lift system comprises a CVVL motor and a CVVL device, the learning module comprising:
the instruction output module is used for sending a learning instruction to the CVVL motor;
and the analysis module is used for acquiring the rotation information of the CVVL motor and analyzing the rotation information of the CVVL motor to acquire the position information of the CVVL motor when the CVVL device reaches a top dead center.
15. The system for controlling self-learning of a continuously variable valve lift system as claimed in claim 9, further comprising a result generating module for determining whether position information of the CVVL motor is within a predetermined threshold range when the CVVL device reaches the top dead center, and generating a top dead center self-learning result.
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| CN114622965B (en) * | 2021-03-09 | 2023-05-23 | 长城汽车股份有限公司 | Control method based on continuous variable valve lift mechanism and electronic equipment |
| CN115075938A (en) * | 2022-06-27 | 2022-09-20 | 长城汽车股份有限公司 | Self-learning control method and device for turbocharger, vehicle and storage medium |
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