CN111177867A - Method, system, computer equipment and medium for learning tooth difference - Google Patents

Method, system, computer equipment and medium for learning tooth difference Download PDF

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Publication number
CN111177867A
CN111177867A CN201911413411.2A CN201911413411A CN111177867A CN 111177867 A CN111177867 A CN 111177867A CN 201911413411 A CN201911413411 A CN 201911413411A CN 111177867 A CN111177867 A CN 111177867A
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engine
state
current execution
tooth difference
difference learning
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宋同好
孙鹏远
欣白宇
龙立
高天宇
周鑫
张波
刘廷伟
孙超
时宪
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FAW Group Corp
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FAW Group Corp
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning

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Abstract

The embodiment of the invention discloses a method, a system, computer equipment and a medium for learning a tooth difference. The method comprises the following steps: determining a current execution state of an engine of a vehicle to execute a tooth difference learning when the engine is powered on; determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state; it is determined whether the engine has completed the tooth difference learning by a result of determining whether the engine performs a state switching operation. The technical scheme provided by the embodiment of the invention can actively finish the tooth difference learning after the new vehicle is off-line, improve the fire diagnosis performance of the engine and is simple to operate.

Description

Method, system, computer equipment and medium for learning tooth difference
Technical Field
The embodiment of the invention relates to the technical field of engine control, in particular to a method, a system, computer equipment and a medium for learning a tooth difference.
Background
An engine electronic control system (EMS) realizes measurement of the timing position and the rotating speed of an engine through a crankshaft signal, but due to the influence of errors of machining, assembly and the like, the crankshaft signal contains a tooth signal error, and the performance of engine misfire diagnosis is reduced if the tooth signal error is not learned and compensated.
And part of manufacturers use an online learning mode to learn the tooth difference, namely, self-learning is not executed when a new vehicle leaves a factory, and learning is passively finished in the use process after the vehicle leaves the factory. The method reduces the production and manufacturing cost, but has some defects, such as long time consumption in the learning process, uncontrollable learning process, unstable learning result and even incapability of completing learning of specific working conditions, which all bring adverse effects on the engine misfire diagnosis performance.
Disclosure of Invention
The embodiment of the invention provides a method, a system, computer equipment and a medium for learning tooth difference, which are used for actively finishing the learning of tooth difference after a new vehicle is off-line, improving the fire diagnosis performance of an engine and being simple to operate.
In a first aspect, an embodiment of the present invention provides a method for learning a tooth difference, where the method includes:
determining a current execution state of an engine of a vehicle to execute a tooth difference learning when the engine is powered on;
determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state;
it is determined whether the engine has completed the tooth difference learning by a result of determining whether the engine performs a state switching operation.
Optionally, the current execution state includes an engine initialization state, an engine acceleration state, and an engine fuel cut-off state.
Optionally, the current execution state is the engine initialization state, and the tooth difference learning condition corresponding to the engine initialization state is that the vehicle has no fault of the engine executing tooth difference learning and is in a preset working condition state, and a preset tooth difference learning starting instruction is received;
determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state, including:
and controlling the current execution state to be switched from the engine initialization state to the engine acceleration state.
Optionally, the current execution state is the engine acceleration state, the tooth difference learning condition corresponding to the engine acceleration state is that the tooth difference learning condition corresponding to the engine initialization state is satisfied, and the rotating speed of the engine reaches a preset rotating speed threshold;
determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state, including:
and controlling the current execution state to be switched from the engine acceleration state to the engine oil-cut state.
Optionally, the current execution state is the engine oil cut state, and the tooth difference learning condition corresponding to the engine oil cut state is that the tooth difference learning condition corresponding to the engine initialization state is not met, or the engine has completed tooth difference learning, or a preset tooth difference learning end instruction is received;
determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state, including:
and controlling the current execution state to be switched from the engine fuel cut-off state to the engine initialization state.
Optionally, the current execution state is the engine oil cut-off state, the tooth difference learning condition corresponding to the engine oil cut-off state is that the tooth difference learning condition corresponding to the engine initialization state is satisfied, and the rotating speed of the engine does not reach a preset rotating speed threshold;
determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state, including:
and controlling the current execution state to be switched from the engine fuel cut-off state to the engine acceleration state.
Optionally, the method further includes:
and correspondingly displaying a result of determining whether the engine completes the tooth difference learning in an instrument display interface of the vehicle.
In a second aspect, an embodiment of the present invention further provides a system for learning a tooth difference, where the system includes:
the system comprises a current execution state determination module, a control module and a control module, wherein the current execution state determination module is used for determining the current execution state of the engine for executing the tooth difference learning after the engine of the vehicle is powered on;
the operation determining module is used for determining whether the engine executes the state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state;
a tooth difference learning determination module that determines whether the engine has completed tooth difference learning by a result of the determination of whether the engine performs a state switching operation.
In a third aspect, an embodiment of the present invention further provides a computer device, where the computer device includes:
one or more processors;
a storage device for storing a plurality of programs,
when at least one of the plurality of programs is executed by the one or more processors, the one or more processors are caused to implement a method of tooth difference learning as provided in embodiments of the first aspect of the present invention.
In a fourth aspect, embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a method for tooth difference learning provided in the embodiments of the first aspect of the present invention.
According to the technical scheme of the embodiment of the invention, after an engine of a vehicle is powered on, the current execution state of the engine for executing the tooth difference learning is determined; determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state; it is determined whether the engine has completed the tooth difference learning by a result of determining whether the engine performs a state switching operation. The problem of not carrying out self-learning when the new car leaves the factory among the prior art, accomplish study passively in the use of car after leaving the factory is solved to realize initiatively accomplishing the poor study of tooth after the new car is off the production line, improve the diagnostic performance of engine catching fire, and easy operation.
Drawings
FIG. 1 is a flow chart of a method for learning a tooth difference according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for learning a tooth difference according to a second embodiment of the present invention;
FIG. 3 is a flowchart of a method for learning a tooth difference according to a third embodiment of the present invention;
fig. 4 is a structural diagram of a system for learning a tooth difference according to a fourth embodiment of the present invention;
fig. 5 is a schematic hardware structure diagram of a computer device according to a fifth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention are described in further detail below with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention.
It should be further noted that, for the convenience of description, only some but not all of the relevant aspects of the present invention are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
Example one
Fig. 1 is a flowchart of a method for learning a backlash, which is provided in an embodiment of the present invention, and the embodiment is applicable to a situation where the backlash learning is completed quickly and accurately during a vehicle offline process, and the method may be performed by a system for learning the backlash, and the system may be implemented in the form of software and/or hardware. The method specifically comprises the following steps:
and S110, after the engine of the vehicle is powered on, determining the current execution state of the engine for executing the tooth difference learning.
The current execution state of the engine for executing the tooth difference learning comprises an engine initialization state, an engine acceleration state and an engine oil-cut state. The engine initialization state is a default state of the engine before power-on, the engine acceleration state and the engine fuel cut-off state respectively correspond to the conditions of the engine running after the engine is powered on, and optionally, the engine running can be realized by stepping on an accelerator pedal by a vehicle operator.
The engine operation contents corresponding to the three current execution states are included in the process of the current execution state in which the engine executes the tooth difference learning.
The engine action contents corresponding to the three current execution states are engine execution action contents corresponding to an engine initialization state, engine execution action contents corresponding to an engine acceleration state and engine execution action contents corresponding to an engine fuel cut-off state respectively.
The engine executing action content corresponding to the engine initialization state comprises canceling the intervention on the VVT control function; the intervention of the air conditioning function is cancelled; the intervention on the engine neutral speed limiting function is cancelled; canceling the intervention on the control function of the generator; canceling intervention in the engine torque request; and the intervention on the oil-cut function of the engine is cancelled. It should be understood that the executing action contents described above need to be executed simultaneously in this embodiment, and the engine executing action contents corresponding to the specific engine initialization state may be continuously selected and set according to the actual working conditions or design requirements of those skilled in the art or the vehicle.
The engine executing action content corresponding to the engine acceleration state comprises an active VVT closing control function; actively shutting down the air conditioning system; actively adjusting the engine neutral speed limit to 6000 rpm; actively shutting down the generator; actively increasing the engine torque demand to 40%; the number of tooth difference learning attempts is accumulated (only 1 time per acceleration state entry). It can be understood that the executing action contents described above need to be executed simultaneously in this embodiment, and the engine executing action contents corresponding to the specific engine acceleration state may be continuously selected and set according to the actual working condition or design requirement of a person skilled in the art or a vehicle.
The engine execution action content corresponding to the engine oil cut-off state comprises the active execution of the engine oil cut-off; and running a tooth difference oil-break self-learning program. It can be understood that the executing action contents described above need to be executed simultaneously in this embodiment, and the engine executing action contents corresponding to the specific engine fuel cut-off state may be continuously selected and set according to the actual working condition or design requirement of a person skilled in the art or a vehicle.
And S120, determining whether the engine executes the state switching operation according to the current execution state and the tooth difference learning condition corresponding to the current execution state.
Wherein, the process of the engine executing the current execution state of the tooth difference learning further comprises a condition for switching the current execution state between different execution states.
Specifically, the engine initialization state is switched to the engine acceleration state, the engine acceleration state is switched to the engine oil cut-off state, and the engine oil cut-off state is switched to the engine initialization state. Whether or not to perform the switching operation of the adjacent state can be determined in accordance with the current execution state and its corresponding tooth difference learning condition.
It can be understood that when the engine is switched from the engine initialization state to the engine acceleration state, it is first required to satisfy that the content of the engine execution action corresponding to the engine initialization state is executed completely, and so on, and before each state is switched, it is first required to ensure that all the content of the execution action corresponding to the current execution state is executed completely.
S130, determining whether the engine completes the tooth difference learning or not according to the determined result of whether the engine executes the state switching operation or not.
Specifically, when the engine is in different execution states, corresponding to whether the engine is currently in progress or has completed the gear difference learning, it is determined which execution state the engine is switched to by the engine execution state switching operation, and the completion progress of the gear difference learning of the engine can be determined.
For example, in the engine initialization state, it may indicate that the learning of the backlash is completed or the learning of the backlash is not started; it may be indicated that the tooth difference learning is being executed in the engine acceleration state and the engine fuel cut state.
According to the technical scheme of the embodiment of the invention, after an engine of a vehicle is powered on, the current execution state of the engine for executing the tooth difference learning is determined; determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state; it is determined whether the engine has completed the tooth difference learning by a result of determining whether the engine performs a state switching operation. The problem of not carrying out self-learning when the new car leaves the factory among the prior art, accomplish study passively in the use of car after leaving the factory is solved to realize initiatively accomplishing the poor study of tooth after the new car is off the production line, improve the diagnostic performance of engine catching fire, and easy operation.
Example two
Fig. 2 is a flowchart of a method for learning a tooth difference according to a second embodiment of the present invention. The present embodiment is optimized based on the above embodiments.
Correspondingly, the method of the embodiment specifically includes:
s210, after the engine of the vehicle is powered on, determining the current execution state of the engine for executing the tooth difference learning.
And S220, determining whether the engine executes the state switching operation according to the current execution state and the tooth difference learning condition corresponding to the current execution state.
The current execution state is the engine initialization state, the tooth difference learning condition corresponding to the engine initialization state is that the vehicle has no fault of the engine executing tooth difference learning and is in a preset working condition state, and a preset tooth difference learning starting instruction is received; on the basis of the above-described embodiment, determining whether the engine performs a state switching operation based on the current execution state and a tooth difference learning condition corresponding to the current execution state includes: and controlling the current execution state to be switched from the engine initialization state to the engine acceleration state.
Wherein the vehicle is free from a failure in which the engine performs the learning of the difference in tooth, that is, a failure in which the learning of the difference in tooth is not affected in the vehicle range.
Faults that affect the learning of tooth differences include, but are not limited to: engine speed sensor failure; identifying faults of the gears of the gearbox; an engine temperature sensor failure; monitoring faults safely; CAN communication failure; a throttle failure; a VVT system failure; failure of the carbon tank solenoid valve; vehicle speed signal failure; a generator failure; failure of the fuel injector; an ignition failure; failure of the accelerator pedal; the barometric pressure sensor fails.
It is understood that the contents of the above-mentioned fault affecting the learning of the tooth difference need to be cleared simultaneously in this embodiment, and the specific fault affecting the learning of the tooth difference may be continuously selected and set according to the actual working conditions or design needs of the person skilled in the art or the vehicle, which is only explained in this embodiment and is not limited in any way.
The vehicle is in the preset working condition state, that is, the vehicle is in the appropriate working condition state, and the appropriate working condition state of the vehicle includes but is not limited to: the engine has started; the vehicle speed is 0; the temperature of the engine is between 50 and 100 ℃; the transmission chain is in a disconnected state; the air conditioning system is off (if the air conditioner can be actively turned off, the air conditioning state can be ignored here); the battery voltage is between 11V and 14V; closing the engine compartment cover; learning of tooth differences is not yet completed; the number of tooth difference learning attempts is not greater than 5.
It can be understood that the above-mentioned suitable operating condition states of the vehicle need to be satisfied simultaneously in this embodiment, and the suitable operating condition states of the specific vehicle may be continuously selected and set according to the actual operating condition or design need of the person skilled in the art or the vehicle, which is only explained in this embodiment and is not limited in any way.
Optionally, the preset tooth difference learning start instruction may be a specific tooth difference learning start signal received by the vehicle controller, and may specifically be implemented by a vehicle operator fully depressing an accelerator pedal.
The current execution state is the engine acceleration state, the tooth difference learning condition corresponding to the engine acceleration state is that the tooth difference learning condition corresponding to the engine initialization state is met, and the rotating speed of the engine reaches a preset rotating speed threshold value; on the basis of the above-described embodiment, determining whether the engine performs a state switching operation based on the current execution state and a tooth difference learning condition corresponding to the current execution state includes: and controlling the current execution state to be switched from the engine acceleration state to the engine oil-cut state.
Optionally, the rotating speed of the engine reaches a preset rotating speed threshold, and a value of the preset rotating speed threshold may be 5800 rpm.
In addition, when the current execution state is switched from the engine acceleration state to the engine initialization state in order to control the engine acceleration state, it is necessary to determine that the gear difference learning condition corresponding to the engine acceleration state is not satisfied, or the number of gear difference learning attempts is greater than 5, or the accelerator pedal is not fully depressed.
The current execution state is the engine oil-out state, and the gear difference learning condition corresponding to the engine oil-out state is that the gear difference learning condition corresponding to the engine initialization state is not met, or the engine finishes the gear difference learning, or receives a preset gear difference learning end instruction; on the basis of the above-described embodiment, determining whether the engine performs a state switching operation based on the current execution state and a tooth difference learning condition corresponding to the current execution state includes: and controlling the current execution state to be switched from the engine fuel cut-off state to the engine initialization state.
Alternatively, the preset tooth difference learning end instruction may be an end learning instruction sent by the EOL device, or the accelerator pedal is not fully depressed.
The current execution state is the engine oil-cut state, the tooth difference learning condition corresponding to the engine oil-cut state is that the tooth difference learning condition corresponding to the engine initialization state is met, and the rotating speed of the engine does not reach a preset rotating speed threshold value; on the basis of the above-described embodiment, determining whether the engine performs a state switching operation based on the current execution state and a tooth difference learning condition corresponding to the current execution state includes: and controlling the current execution state to be switched from the engine fuel cut-off state to the engine acceleration state.
It should be noted that when the current execution state is switched from the engine fuel cut-off state to the engine acceleration state, optionally, the value that the rotation speed of the engine does not reach the preset rotation speed threshold may be 1200 rpm.
S230, determining whether the engine has completed the tooth difference learning by the result of determining whether the engine performs the state switching operation.
And S240, correspondingly displaying the result of determining whether the engine completes the tooth difference learning in an instrument display interface of the vehicle.
Specifically, the result of the learning of the engine tooth difference CAN be output to a vehicle instrument through CAN communication, and the vehicle instrument CAN be displayed in a text mode and CAN also be indicated by a fault lamp. The output content of the vehicle meter can at least distinguish two states of "learning with tooth difference completed" and "learning without tooth difference completed", and the state of "learning without tooth difference completed" can be further decomposed into more sub-states, which is not limited in this embodiment.
Illustratively, the result of the tooth difference learning is output to a vehicle instrument through CAN communication, and the vehicle instrument is displayed in a text mode, wherein the corresponding display mode is as follows: when the gear difference learning is finished in the initial state of the engine, the vehicle instrument does not display any gear difference learning related content; when the number of tooth difference learning attempts exceeds 5 in the initial state of the engine, the vehicle instrument displays 'failure of tooth difference learning'; in the engine acceleration state and the engine fuel cut state, the vehicle meter displays that "the tooth difference learning is being executed"; in other cases, the meter displays "the tooth difference learning is not executed".
According to the technical scheme of the embodiment of the invention, the gear difference learning in all the engine rotating speed ranges can be rapidly completed in the whole vehicle offline stage, so that the vehicle immediately has a complete misfire diagnosis function after being offline, the learning process is safe and efficient, the operation is simple, the best misfire detection performance can be immediately obtained after a new vehicle leaves a factory, and the requirements of national six regulations on the misfire diagnosis performance are met.
EXAMPLE III
Fig. 3 is a flowchart of a tooth difference learning method according to a third embodiment of the present invention. The technical scheme of the embodiment of the invention is further optimized on the basis of the embodiment. The method of the embodiment specifically includes:
after the engine of the vehicle is powered on, the tooth difference learning routine in the vehicle interior is in the engine initialization state, and act 1 is executed in the engine initialization state. The contents of action 1 include: canceling the intervention of a tooth difference learning program on the VVT control function; the interference of the tooth difference learning program on the air control function is cancelled; canceling the intervention of a tooth difference learning program on the engine neutral speed limiting function; the intervention of a tooth difference learning program on the control function of the generator is cancelled; canceling the intervention of a tooth difference learning program on the torque demand of the engine; and the intervention of the tooth difference learning program on the fuel cut-off function of the engine is cancelled.
In the engine initialization state, when condition 1 is satisfied, the engine is switched to the engine acceleration state. Condition 1 includes the following: 1) faults within the vehicle range that do not affect the tooth difference learning include, but are not limited to: engine speed sensor failure; identifying faults of the gears of the gearbox; an engine temperature sensor failure; monitoring faults safely; CAN communication failure; a throttle failure; a VVT system failure; failure of the carbon tank solenoid valve; vehicle speed signal failure; a generator failure; failure of the fuel injector; an ignition failure; failure of the accelerator pedal; the barometric pressure sensor fails. 2) The vehicle is in a suitable operating condition, including but not limited to: the engine has started; the vehicle speed is 0; the temperature of the engine is between 50 and 100 ℃; the transmission chain is in a disconnected state; the battery voltage is between 11V and 14V; closing the engine compartment cover; learning of tooth differences is not yet completed; the number of tooth difference learning attempts is not greater than 5. 3) The ECU receives a specific tooth difference learning start signal, defined here as: the accelerator pedal is fully depressed.
In the engine acceleration state, action 2 is executed, specifically as follows: the program actively closes the VVT control function; the program actively turns off the air conditioning system; the program actively adjusts the engine neutral speed limit to 6000 rpm; the program actively shuts down the generator; the routine actively increases the engine torque request to 40%; the number of tooth difference learning attempts is accumulated (only 1 time per acceleration state entry).
In the engine acceleration state, when condition 2 is satisfied, a default state is entered. The contents of condition 2 are: condition 1 is not satisfied, or the number of tooth difference learning attempts is greater than 5, or the accelerator pedal is not fully depressed.
In the engine acceleration state, when the condition 3 is satisfied, the engine oil-cut state is entered. The contents of condition 3 are: condition 1 is satisfied; the engine speed reaches 5800 rpm.
In the engine fuel cut state, action 3 is executed, and the specific content of action 3 is as follows: the program actively executes the engine fuel cut; and running a tooth difference oil-break self-learning program.
Under the fuel cut-off state of the engine, if the condition 5 is met, the engine returns to the initial state of the engine again, and the concrete content of the condition 5 is as follows: condition 1 is not satisfied, or the tooth difference learning is completed, or the accelerator pedal is not fully depressed.
Under the fuel cut-off state of the engine, if the condition 4 is met, the engine returns to the acceleration state again, and the concrete content of the condition 4 is as follows: condition 1 is satisfied; the engine speed is lower than 1200 rpm; the learning of the tooth difference is not completed.
According to the technical scheme of the embodiment of the invention, the tooth difference learning in all the engine rotating speed ranges can be rapidly completed in the whole vehicle offline stage, so that the vehicle has a complete misfire diagnosis function immediately after offline, and the learning process is safe and efficient.
Example four
Fig. 4 is a structural diagram of a system for learning a backlash according to a fourth embodiment of the present invention, which is applicable to a situation where the backlash learning is completed quickly and accurately during a vehicle offline process.
As shown in fig. 4, the system includes: a current execution state determination module 410, an operation determination module 420, and a tooth difference learning determination module 430, wherein:
a current execution state determination module 410 to determine a current execution state of an engine of a vehicle to perform a tooth difference learning when the engine is powered on;
an operation determining module 420, configured to determine whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state;
a tooth difference learning determination module 430 that determines whether the engine has completed tooth difference learning by the determined result of whether the engine performs a state switching operation.
In the system for learning the gear difference, after an engine of a vehicle is powered on, the current execution state of the engine for executing the gear difference learning is determined; determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state; it is determined whether the engine has completed the tooth difference learning by a result of determining whether the engine performs a state switching operation. The problem of not carrying out self-learning when the new car leaves the factory among the prior art, accomplish study passively in the use of car after leaving the factory is solved to realize initiatively accomplishing the poor study of tooth after the new car is off the production line, improve the diagnostic performance of engine catching fire, and easy operation.
On the basis of the above embodiments, the current execution state includes an engine initialization state, an engine acceleration state, and an engine fuel cut state.
On the basis of the above embodiments, the current execution state is the engine initialization state, and the tooth difference learning condition corresponding to the engine initialization state is that the vehicle has no fault of the engine executing tooth difference learning and is in a preset working condition state, and a preset tooth difference learning start instruction is received;
determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state, including:
and controlling the current execution state to be switched from the engine initialization state to the engine acceleration state.
On the basis of the above embodiments, the current execution state is the engine acceleration state, the tooth difference learning condition corresponding to the engine acceleration state is that the tooth difference learning condition corresponding to the engine initialization state is satisfied, and the rotation speed of the engine reaches a preset rotation speed threshold;
determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state, including:
and controlling the current execution state to be switched from the engine acceleration state to the engine oil-cut state.
On the basis of the above embodiments, the current execution state is the engine oil cut state, and the tooth difference learning condition corresponding to the engine oil cut state is that the tooth difference learning condition corresponding to the engine initialization state is not satisfied, or the engine has completed tooth difference learning, or a preset tooth difference learning end instruction is received;
determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state, including:
and controlling the current execution state to be switched from the engine fuel cut-off state to the engine initialization state.
On the basis of the above embodiments, the current execution state is the engine oil cut state, the tooth difference learning condition corresponding to the engine oil cut state is that the tooth difference learning condition corresponding to the engine initialization state is satisfied, and the rotation speed of the engine does not reach the preset rotation speed threshold;
determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state, including:
and controlling the current execution state to be switched from the engine fuel cut-off state to the engine acceleration state.
On the basis of the above embodiments, the system further includes:
and correspondingly displaying a result of determining whether the engine completes the tooth difference learning in an instrument display interface of the vehicle.
The system for learning the tooth difference provided by each embodiment can execute the method for learning the tooth difference provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the method for executing the tooth difference.
EXAMPLE five
Fig. 5 is a schematic structural diagram of a computer device according to a fifth embodiment of the present invention. FIG. 5 illustrates a block diagram of an exemplary computer device 512 suitable for use in implementing embodiments of the present invention. The computer device 512 shown in FIG. 5 is only an example and should not bring any limitations to the functionality or scope of use of embodiments of the present invention.
As shown in FIG. 5, computer device 512 is in the form of a general purpose computing device. Components of computer device 512 may include, but are not limited to: one or more processors or processing units 516, a system memory 528, and a bus 518 that couples the various system components including the system memory 528 and the processing unit 516.
Bus 518 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Computer device 512 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by computer device 512 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 528 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)530 and/or cache memory 532. The computer device 512 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 534 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 5, and commonly referred to as a "hard drive"). Although not shown in FIG. 5, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 518 through one or more data media interfaces. Memory 528 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 540 having a set (at least one) of program modules 542, including but not limited to an operating system, one or more application programs, other program modules, and program data, may be stored in, for example, the memory 528, each of which examples or some combination may include an implementation of a network environment. The program modules 542 generally perform the functions and/or methods of the described embodiments of the invention.
The computer device 512 may also communicate with one or more external devices 514 (e.g., keyboard, pointing device, display 524, etc.), with one or more devices that enable a user to interact with the computer device 512, and/or with any devices (e.g., network card, modem, etc.) that enable the computer device 512 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 522. Also, computer device 512 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via network adapter 520. As shown, the network adapter 520 communicates with the other modules of the computer device 512 via the bus 518. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the computer device 512, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 516 executes various functional applications and data processing by executing programs stored in the system memory 528, for example, implementing a method for tooth difference learning provided by the embodiment of the present invention, the method includes:
determining a current execution state of an engine of a vehicle to execute a tooth difference learning when the engine is powered on;
determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state;
it is determined whether the engine has completed the tooth difference learning by a result of determining whether the engine performs a state switching operation.
Of course, those skilled in the art will appreciate that the processor may also implement the solution of the method for learning the tooth difference provided by any of the embodiments of the present invention.
EXAMPLE six
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a method for tooth difference learning according to an embodiment of the present invention, where the method includes:
determining a current execution state of an engine of a vehicle to execute a tooth difference learning when the engine is powered on;
determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state;
it is determined whether the engine has completed the tooth difference learning by a result of determining whether the engine performs a state switching operation.
Of course, the computer program stored on the computer-readable storage medium provided by the embodiments of the present invention is not limited to the method operations described above, and may also perform related operations in the method of tooth difference learning provided by any embodiments of the present invention.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A method of learning a tooth difference, comprising:
determining a current execution state of an engine of a vehicle to execute a tooth difference learning when the engine is powered on;
determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state;
it is determined whether the engine has completed the tooth difference learning by a result of determining whether the engine performs a state switching operation.
2. The method of claim 1, wherein the current execution state includes an engine initialization state, an engine acceleration state, and an engine fuel cut state.
3. The method according to claim 2, wherein the current execution state is the engine initialization state, the tooth difference learning condition corresponding to the engine initialization state is that the vehicle has no fault of the engine executing tooth difference learning and the vehicle is in a preset working condition state, and a preset tooth difference learning starting instruction is received;
determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state, including:
and controlling the current execution state to be switched from the engine initialization state to the engine acceleration state.
4. The method of claim 2, wherein the current execution state is the engine acceleration state, the gear difference learning condition corresponding to the engine acceleration state is that the gear difference learning condition corresponding to the engine initialization state is satisfied, and the rotation speed of the engine reaches a preset rotation speed threshold;
determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state, including:
and controlling the current execution state to be switched from the engine acceleration state to the engine oil-cut state.
5. The method according to claim 2, wherein the current execution state is the engine oil-cut state, and the gear difference learning condition corresponding to the engine oil-cut state is that the gear difference learning condition corresponding to the engine initialization state is not met, or the engine has completed gear difference learning, or a preset gear difference learning end instruction is received;
determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state, including:
and controlling the current execution state to be switched from the engine fuel cut-off state to the engine initialization state.
6. The method according to claim 2, wherein the current execution state is the engine oil-cut state, the gear difference learning condition corresponding to the engine oil-cut state is that the gear difference learning condition corresponding to the engine initialization state is met, and the rotating speed of the engine does not reach a preset rotating speed threshold value;
determining whether the engine executes a state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state, including:
and controlling the current execution state to be switched from the engine fuel cut-off state to the engine acceleration state.
7. The method of claim 1, further comprising:
and correspondingly displaying a result of determining whether the engine completes the tooth difference learning in an instrument display interface of the vehicle.
8. A system for learning tooth differences, comprising:
the system comprises a current execution state determination module, a control module and a control module, wherein the current execution state determination module is used for determining the current execution state of the engine for executing the tooth difference learning after the engine of the vehicle is powered on;
the operation determining module is used for determining whether the engine executes the state switching operation according to the current execution state and a tooth difference learning condition corresponding to the current execution state;
a tooth difference learning determination module that determines whether the engine has completed tooth difference learning by a result of the determination of whether the engine performs a state switching operation.
9. A computer device, characterized in that the computer device comprises:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method of tooth difference learning as recited in any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of tooth difference learning according to any one of claims 1-7.
CN201911413411.2A 2019-12-31 2019-12-31 Method, system, computer equipment and medium for learning tooth difference Pending CN111177867A (en)

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