CN116816921A

CN116816921A - Clutch self-learning method, device and equipment for hybrid vehicle and storage medium

Info

Publication number: CN116816921A
Application number: CN202310993826.1A
Authority: CN
Inventors: 王敏; 任伟; 裴换鑫; 孙明峰
Original assignee: Weichai New Energy Power Technology Co ltd; Weichai Power Co Ltd
Current assignee: Weichai New Energy Power Technology Co ltd; Weichai Power Co Ltd
Priority date: 2023-08-08
Filing date: 2023-08-08
Publication date: 2023-09-29

Abstract

The invention discloses a clutch self-learning method, device and equipment for a hybrid vehicle and a storage medium. The clutch self-learning method of the hybrid vehicle comprises the following steps: judging whether the energy mode switching times reach a set value, and controlling to start a clutch self-learning mode when the energy mode switching times reach the set value; in the clutch self-learning mode, if the clutch is in the engine driving working condition, starting a minimum joint point of the calibration clutch; in the clutch self-learning mode, if the clutch is in the engine starting working state, starting a calibrated clutch slip point; after the clutch friction point is calibrated, determining the maximum clutch release point according to the calibrated clutch friction point.

Description

Clutch self-learning method, device and equipment for hybrid vehicle and storage medium

Technical Field

The embodiment of the invention relates to a clutch control technology, in particular to a hybrid vehicle clutch self-learning method, a device, equipment and a storage medium.

Background

The clutch has the main functions of ensuring stable starting and smooth gear shifting of the whole vehicle, reducing vibration and noise of a transmission system, preventing overload damage of parts of the transmission system during emergency braking and the like, and the normal implementation of the functions is dependent on the control precision of the position of the clutch.

In the driving process, when the clutch is worn, the minimum combination point, the sliding friction point and the maximum separation point of the clutch are changed, so that the problems of poor driving experience and performance degradation of starting and running of the vehicle, gear shifting impact, overload damage of parts of an emergency brake transmission system and the like are caused.

The driving cycle exceeds a certain number of times or the driving mileage exceeds a certain distance, and the whole vehicle controller controls the whole vehicle to carry out clutch parking dynamic self-learning; or the driver triggers the clutch to park static self-learning through the handle key, and the three points of the minimum combination point, the sliding friction point and the maximum separation point are respectively learned in the self-learning process. The self-learning method in the prior art has the following defects:

whether the clutch parking dynamic self-learning or the clutch parking static self-learning is carried out, the vehicle is required to be pulled up by a static hand brake, and a driver is required not to control the vehicle in the process, otherwise, the clutch self-learning process is interrupted, and the clutch self-learning is failed;

the clutch needs longer time to self-learn the minimum engagement point, the sliding friction point and the maximum disengagement point, and the clutch self-learning time needs to be shortened on the premise of ensuring the clutch self-learning reliability.

The driving cycle number or the driving mileage is used as an external trigger condition for clutch self-learning, so that the clutch cannot be accurately controlled by self-learning (for example, the parallel hybrid electric vehicle always keeps pure electric vehicle running, and the clutch self-learning is not required when the driving cycle number or the driving mileage meets the condition), and therefore, a more reasonable external trigger condition for clutch self-learning is required to be set;

when the clutch is worn, the clutch cannot be self-adaptively learned in the driving process so as to correct the positions of the minimum joint point, the sliding friction point and the maximum separation point of the clutch, so that the position accuracy of the clutch is inaccurate, and the problems of poor driving experience and performance reduction such as gear shifting impact, overload damage of parts of an emergency braking transmission system and the like are avoided.

Disclosure of Invention

The present invention provides a hybrid vehicle clutch self-learning method, apparatus, device and storage medium, so as to solve at least one of the problems in the prior art.

In a first aspect, an embodiment of the present invention provides a hybrid vehicle clutch self-learning method, including:

judging whether the energy mode switching times reach a set value, and controlling to start a clutch self-learning mode when the energy mode switching times reach the set value;

in the clutch self-learning mode, if the clutch is in an engine driving working condition, starting a minimum joint point of a calibrated clutch;

in the clutch self-learning mode, if the clutch is in the engine starting working state, starting a calibrated clutch slip point;

and after the clutch sliding friction point is calibrated, determining a clutch maximum separation point according to the calibrated clutch sliding friction point.

Optionally, starting the calibration clutch minimum engagement point includes:

controlling the target position of the clutch to be the difference value between the current minimum combination point position of the clutch and the first offset distance;

controlling the clutch to be combined according to a first speed, and recording the position of the clutch when the clutch reaches a steady state, wherein the position is recorded as a first minimum combining point position;

controlling the clutch to be recombined according to the first speed, and recording the position of the clutch when the clutch reaches a steady state, wherein the position is recorded as a second minimum combination point position;

and updating the clutch minimum engagement point according to the first minimum engagement point position and the second minimum engagement point position.

Optionally, starting the calibrated clutch slip point includes:

the clutch is controlled to be combined according to the second speed, and the sliding point position is determined according to the bus current of the motor or the output current of the battery;

and updating the clutch sliding point according to the sliding point position and the current clutch sliding point.

Optionally, determining the clutch maximum disengagement point based on the clutch slip point includes:

and shifting the position of the clutch slip point by a second shift distance, and taking the result as the maximum clutch release point.

Optionally, the method further comprises:

and if the minimum engagement point of the clutch is calibrated or the slip point of the clutch is calibrated, and the continuous failure times are larger than a preset value, controlling to prohibit the self-learning mode of the clutch.

Optionally, when the control prohibits the clutch self-learning mode, when the vehicle is started, the control adopts a clutch parking self-learning method to calibrate the clutch minimum engagement point, the clutch slip point and the clutch maximum disengagement point.

Optionally, if the clutch parking self-learning method is adopted to calibrate the clutch minimum engagement point, the clutch slip point and the clutch maximum disengagement point, the vehicle is controlled to be in a motor driving mode when running.

In a second aspect, an embodiment of the present invention further provides a hybrid vehicle clutch self-learning device, including a hybrid vehicle clutch self-learning unit, where the hybrid vehicle clutch self-learning unit is configured to:

In a third aspect, an embodiment of the present invention further provides an electronic device, including at least one processor, and a memory communicatively connected to the at least one processor;

the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform any one of the hybrid vehicle clutch self-learning methods described in the embodiments of the present invention.

In a fourth aspect, an embodiment of the present invention further provides a computer readable storage medium, where the computer readable storage medium stores computer instructions, where the computer instructions are configured to cause a processor to implement any one of the hybrid vehicle clutch self-learning methods described in the embodiments of the present invention when executed.

Compared with the prior art, the invention has the beneficial effects that: the invention provides a clutch self-learning method of a hybrid vehicle, which adopts the mode switching times of the actual energy accumulated as feedback of the wear degree of the clutch, avoids the defect that the continuous driving mileage or the driving cycle times cannot accurately control the self-learning time of the clutch, has more effective and reasonable external triggering conditions of the self-learning of the clutch, and performs the self-learning of only the minimum combination point and the sliding friction point of the clutch in the driving process, and updates the maximum separation point of the clutch by increasing the offset after the self-learning of the sliding friction point of the clutch is successful, thereby shortening the learning time and not affecting the normal running of the vehicle.

Drawings

FIG. 1 is a flow chart of a hybrid vehicle clutch self-learning method in an embodiment;

FIG. 2 is a flow chart of another hybrid vehicle clutch self-learning method in an embodiment;

fig. 3 is a schematic diagram of the electronic device structure in the embodiment.

Detailed Description

The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.

Example 1

FIG. 1 is a flow chart of a hybrid vehicle clutch self-learning method in an embodiment, referring to FIG. 1, the self-learning method includes:

s101, judging whether the energy mode switching times reach a set value, and controlling to start a clutch self-learning mode when the energy mode switching times reach the set value.

In this embodiment, the hybrid vehicle clutch self-learning method is applicable to a scene of clutch self-calibration of a hybrid vehicle, where the hybrid vehicle may have multiple energy modes, where one energy mode corresponds to one driving mode;

for example, the energy pattern may include: the power source of each energy mode is a motor, an engine, a motor and an engine respectively;

the vehicle controller or the driver can adopt different energy modes according to different working condition decisions so as to ensure that the vehicle runs normally.

In addition, the hybrid vehicle can be provided with one or more driving modes, for example, a cruising mode can be configured, and in the driving mode, the whole vehicle controller controls the vehicle to always run at a set vehicle speed without the need of a driver to operate an accelerator or a brake pedal, and the hybrid vehicle is particularly suitable for the running condition of a highway.

In this embodiment, the hybrid vehicle is configured with a parallel hybrid system, and the parallel hybrid system integrates a fuel power system (engine) and an electric drive system (motor) together to form a parallel circuit, so that the vehicle can realize common drive or separate and independent drive of the engine and the motor.

In the embodiment, the setting clutch consists of a driven disc, a pressure disc, a release bearing and the like, is arranged between an engine and a motor of a parallel hybrid vehicle type, and controls the transmission and interruption of the output of the power through separation and combination.

In this embodiment, when the engine is set to start, the motor drags the engine backward, that is, when the hybrid vehicle type needs to start the engine, the whole vehicle controller controls the clutch to combine and the engine pulls up its own rotation speed to start by the power provided by the motor.

In this embodiment, the set energy mode switching may be switching between any two energy modes, where the set value may be determined through experience or calibration test.

In this embodiment, when the number of times of switching the energy modes reaches a set value, the clutch self-learning mode is controlled to be started, and when the clutch self-learning mode is started, the clutch self-calibration process is started.

In the embodiment, the clutch is set to realize normal running of the vehicle through switching of three working states of full linkage, half linkage and non-linkage;

the three working states respectively correspond to the states of complete compression combination, just contact combination and complete separation of the clutch driven disc and the pressure disc, namely the minimum combination point of the clutch, the sliding friction point of the clutch and the maximum separation point of the clutch.

In this embodiment, the energy mode switching times are cleared after the energy mode switching times reach the set value, and the energy mode switching times are accumulated again.

S102, under the clutch self-learning mode, if the clutch is in the engine driving working condition, starting a minimum joint point of the calibrated clutch.

In this embodiment, the engine driving condition may correspond to a pure engine mode or a hybrid mode, and when the engine driving condition is in the engine driving condition, the self-calibration of the minimum coupling point of the clutch is performed.

In this embodiment, the clutch minimum engagement point may be determined (updated) by:

the clutch is controlled to be fully engaged (full linkage), and the clutch position at which the clutch is fully engaged and a steady state (a small rate of change of the clutch position, a small distance of clutch movement over a period of time) is reached is determined as a new clutch minimum engagement point (position).

S103, under the clutch self-learning mode, if the clutch is in the engine starting working condition, starting the calibrated clutch slip friction point.

In this embodiment, the engine starting condition corresponds to the motor pulling up the engine upside down, and when the engine starting condition is in, the self-calibration of the clutch slip friction point is performed.

In the present embodiment, the clutch slip point may be determined (updated) as follows:

the clutch half-engagement (half-engagement) is controlled, the clutch position at the time when the torque change rate is maximum is determined during and at the time of the half-engagement of the clutch, and the position is defined as a new clutch slip point (position).

S104, after the clutch slip friction point is calibrated, determining the maximum clutch release point according to the calibrated clutch slip friction point.

In the present embodiment, the clutch maximum release point can be determined (updated) by:

taking the updated clutch sliding friction point as input, and calculating a new clutch maximum separation point by adopting a preset function;

the preset function can be determined through simulation test or through experience.

The scheme provides a clutch self-learning method of a hybrid vehicle, wherein the method adopts the mode switching times of the actual energy accumulated as feedback of the wear degree of the clutch, avoids the defect that the continuous driving mileage or the driving cycle times cannot accurately control the self-learning time of the clutch, has more effective and reasonable external triggering conditions of the self-learning of the clutch, performs the self-learning of the clutch in the driving process, only performs the self-learning of the minimum combination point and the clutch sliding friction point of the clutch, updates the maximum separation point of the clutch by increasing the offset after the self-learning of the clutch sliding friction point is successful, has shorter learning time and does not influence the normal driving of the vehicle.

Based on the scheme shown in FIG. 1, in one possible embodiment, initiating a calibrated clutch minimum engagement point includes:

controlling the target position of the clutch to be the difference value between the minimum joint position of the current clutch and the first offset distance;

the clutch is controlled to be combined according to the first speed, and the position of the clutch is recorded as the position of the first minimum combining point when the clutch reaches a steady state;

controlling the clutch to be recombined according to the first speed, and recording the position of the clutch when the clutch reaches a steady state, wherein the position is recorded as the position of a second minimum combining point;

the clutch minimum engagement point is updated based on the first minimum engagement point position and the second minimum engagement point position.

Illustratively, in this embodiment, the first offset distance is set to L1, an array ClthMin is set, and the output is set to store the first minimum bond point location and the second minimum bond point location.

In the scheme, when the minimum combination point of the calibration clutch is set, the vehicle is in the following working conditions:

the vehicle is in an engine driving condition and in a cruise mode;

or the vehicle is in an engine driving working condition, the gear is not neutral gear, and the change rate of the whole vehicle required power is smaller than a set power change threshold value (the power change threshold value is empirically determined through calibration test acquisition).

In this scheme, the first speed is set by calibration test or experience, wherein the first speed may be slightly greater than or equal to the maximum engagement speed of the clutch.

In this embodiment, the first offset distance is determined by a guard test or empirically.

In the scheme, when the minimum engagement point of the clutch is calibrated, when the clutch position is the currently stored minimum engagement point (position) of the clutch, the clutch is controlled to continuously shift a first shift distance L1 towards the engagement direction;

after the clutch continues to move into place (i.e., continues to move L1), the control pressure for shifting the clutch by L1 is released, so that the clutch automatically returns to a steady state (i.e., the clutch position change rate is smaller and/or the clutch movement distance is smaller within a period of time);

in the scheme, when the clutch reaches a steady state (steady state) for the first time, the position of the clutch is stored in an array and is recorded as a first minimum joint position ClthMin 1;

after waiting for the preset time, controlling the clutch to be recombined according to the first speed again, so that the clutch continuously shifts to the combining direction by a first shifting distance L1;

after the clutch reaches steady state, the position of the clutch is stored in an array, noted as the second minimum junction position ClthMin 2.

In this scheme, according to first minimum juncture position and second minimum juncture position, update clutch minimum juncture based on following rule:

and (3) checking ClthMin [1] and ClthMin [2], wherein the checking content comprises the following steps:

whether the difference between ClthMin 1 and ClthMin 2 is small;

whether the average value of ClthMin 1 and ClthMin 2 is smaller than the preset minimum physical limit position difference value of the clutch or not;

whether the average value of ClthMin 1 and ClthMin 2 is smaller than the currently stored clutch slip point position;

if the three checks pass simultaneously (the check results are all yes), the clutch minimum joint point is updated, and the updated clutch minimum joint point is ClthMin 1 or ClthMin 2 or the average value of the two.

In the scheme, a cruise mode when a hybrid power or a pure engine mode in a driving mode is adopted, or a pure engine or a hybrid power mode when a non-neutral gear is adopted, and clutch self-adaption minimum point self-learning is carried out when the required power of the whole vehicle is not changed greatly, so that the self-learning time is shortened, and the problem that the clutch self-learning frequently enters and exits due to the operation of a driver is avoided under the selected stable working condition;

after the self-learning of the self-adaptive minimum point of the clutch is performed twice, the two-pass results are respectively checked with the difference value and the average value of the two-pass results, the currently stored sliding friction point and the minimum physical limit position of the clutch, and the reliability of the self-adaptive self-learning result of the clutch is high in the checking process.

Based on the scheme shown in FIG. 1, in one possible embodiment, initiating the calibrated clutch slip point includes:

and updating the clutch slip point according to the slip point position and the current clutch slip point.

In this scenario, the set second speed is determined through calibration tests or empirically, where the second speed may be less than the maximum engagement speed of the clutch.

In the scheme, when the sliding friction position point of the clutch is set to be calibrated, the vehicle is under the following working conditions:

the whole vehicle is in a motion working condition, and the motor drags the engine backward to start.

In this embodiment, when the clutch is controlled to be semi-engaged (semi-linked), the motor bus current or the battery output current is read, the clutch position at which the numerical rate of change is the largest is determined, and the position is referred to as the slip point ClthSlp.

In the scheme, according to the sliding point position and the current clutch sliding point, the clutch sliding point is updated according to the following rules:

checking the sliding friction point ClthSlp and the currently stored clutch sliding friction point, wherein the checking content comprises the following steps:

whether the difference between the slip point position ClthSlp and the currently stored clutch slip point is smaller or not;

whether the slip point ClthSlp is between the maximum and minimum of the physical limit positions of the clutch;

if the two checks pass simultaneously (the check results are both yes), the clutch slip point is updated, and the updated clutch slip point is the slip point position ClthSlp.

In the scheme, when the clutch sliding point is self-calibrated, the clutch position when the bus current of the motor or the output current of the battery is changed greatly is read as the clutch sliding point correction position, so that the situation that the clutch sliding point is too late in acquisition due to slower signal response when the rotating speed or the torque is adopted is avoided, and the control precision of the clutch sliding point is improved;

the self-adaptive friction point self-learning of the clutch is only learned once under the working condition of the motor reverse pulling machine, and the result is verified with the currently stored friction point and the physical limit position of the clutch, so that the reliability of the self-adaptive self-learning result of the clutch is high in the verification process.

Based on the scheme shown in fig. 1, in one possible embodiment, determining the clutch maximum disengagement point from the clutch slip point includes:

the position of the clutch slip point is shifted by a second shift distance L2, and the result is taken as the clutch maximum disengagement point.

In this embodiment, after the clutch slip point is updated, the position of the clutch slip point (after updating) is summed with the second offset distance L2, and the result is directly used as the clutch maximum disengagement point (position) after updating.

In this embodiment, the second offset distance L2 is determined by calibration tests or empirically.

Based on the scheme shown in fig. 1, in one possible embodiment, the self-learning method further includes:

and if the minimum engagement point of the calibration clutch or the sliding friction point of the calibration clutch fails and the continuous failure times are larger than a preset value, controlling to prohibit the clutch self-learning mode.

In the scheme, taking the minimum joint point of the calibrated clutch as an example, if a new minimum joint point of the clutch cannot be determined in single calibration, the minimum joint point of the calibrated clutch is continuously determined again, and if the number of continuous failures is larger than a preset value, the self-learning mode of the clutch is controlled to be forbidden.

Further, in one embodiment, the control disables the clutch self-learning mode and the control calibrates the clutch minimum engagement point, the clutch slip point, and the clutch maximum disengagement point using a clutch park self-learning method when the vehicle is started.

In the scheme, the clutch parking self-learning method is the same as the prior art, and the specific implementation process is not explained in detail.

Further, in one embodiment, if the calibration of the clutch minimum engagement point, the clutch slip point, and the clutch maximum disengagement point using the clutch park self-learning method fails, the vehicle is controlled to be placed in a motor drive mode while traveling.

In the scheme, the clutch self-learning mode is forbidden, and when the clutch is self-calibrated by the clutch parking self-learning method, if calibration fails, only a motor driving mode (pure electric mode) is allowed to be adopted when the vehicle is controlled to run.

FIG. 2 is a flow chart of another hybrid vehicle clutch self-learning method of an example, referring to FIG. 2, in one possible embodiment, the self-learning method includes:

s201, judging whether the energy mode switching times reach a set value, and controlling to start a clutch self-learning mode when the energy mode switching times reach the set value.

S202, under the clutch self-learning mode, if the clutch is in the engine driving working condition, calibrating twice, and determining the first minimum combination point position and the second minimum combination point position.

S203, updating the clutch minimum engagement point according to the first minimum engagement point position and the second minimum engagement point position.

Combining the steps S202 to S203, in the scheme, when the minimum coupling point of the clutch is calibrated, and when the clutch position is the currently stored minimum coupling point (position) of the clutch, the clutch is controlled to continuously shift a first shift distance L1 towards the coupling direction;

whether the difference between ClthMin 1 and ClthMin 2 is small;

S204, under the clutch self-learning mode, if the clutch is in the engine starting working condition, the clutch is controlled to be combined according to the second speed, and the sliding friction point position is determined according to the bus current of the motor or the battery output current.

S205, updating the clutch slip point according to the slip point position and the current clutch slip point.

S206, after the clutch slip friction points are calibrated, determining the maximum clutch release point according to the calibrated clutch slip friction points.

S207, if the minimum combination point of the calibration clutch or the sliding friction point of the calibration clutch fails and the continuous failure times are larger than a preset value, controlling to prohibit the clutch self-learning mode.

In the scheme, when a control forbids a clutch self-learning mode, when a vehicle starts, the control adopts a clutch parking self-learning method to calibrate a clutch minimum combining point, a clutch sliding friction point and a clutch maximum separating point;

and if the clutch minimum combining point, the clutch sliding point and the clutch maximum separating point are failed to be calibrated by adopting the clutch parking self-learning method, controlling the vehicle to be in a motor driving mode when running.

In the scheme provided by the scheme, the accumulated actual energy mode switching times are adopted as feedback of the clutch wear degree, so that the defect that the continuous driving mileage or driving cycle times cannot achieve accurate control of the self-learning opportunity of the clutch is avoided, and the external triggering condition of the self-learning of the clutch is more effective and reasonable;

the clutch self-adaptive self-learning is carried out in the driving process, only the minimum combination point and the sliding friction point of the clutch are self-learned, and the maximum separation point of the clutch is updated by increasing the offset after the sliding friction point self-learning is successful, so that the learning time is short and the normal driving of the vehicle is not influenced;

the clutch self-adaptive minimum point self-learning is carried out when the cruise mode is adopted when the hybrid power or the pure engine mode is in driving and the pure engine or the hybrid power mode is not in neutral gear and the change of the required power of the whole vehicle is not great, so that the self-learning time is shortened, and the selected stable working condition also avoids the frequent entering and exiting problems of the clutch self-learning caused by the operation of a driver;

when the clutch self-adaption self-learning is triggered, the whole vehicle controller controls the clutch to be combined slowly in the motor reverse-dragging process; when self-adaptive self-learning of the clutch is not triggered, the whole vehicle controller controls the clutch to be quickly combined in the reverse pulling and lifting process of the motor, so that the quick lifting in the normal driving process is ensured, and the accuracy of the self-learning position of the self-adaptive sliding friction point of the clutch is also ensured;

when the self-adaptive friction point of the clutch is self-learned, reading the position of the clutch when the bus current of the motor or the output current of the battery is changed greatly as the correction position of the friction point of the clutch, avoiding too late acquisition of the friction point of the clutch caused by slower signal response when the rotating speed or the torque is adopted, and improving the control precision of the friction point of the clutch;

after the self-learning of the self-adaptive minimum point of the clutch is performed twice, the results of the two passes are respectively checked with the difference value and the average value of the results, the currently stored sliding friction point and the minimum physical limit position of the clutch, the self-learning of the self-adaptive sliding friction point of the clutch is performed only once under the condition of the reverse pulling machine working condition of the motor, the results are checked with the currently stored sliding friction point and the physical limit position of the clutch, and the reliability of the self-adaptive self-learning result of the clutch is high in the checking process;

and when the self-learning verification failure times N of the clutch self-adaptive minimum point or the sliding friction point is larger than the preset times N_C, the self-adaptive self-learning of the clutch is forbidden to be triggered, the self-learning of the parking dynamic clutch is carried out after the next ON gear is electrified, and if the self-learning fails, the buzzer warns and forces the pure electric mode to run, so that the driving safety is further ensured.

Example two

The embodiment provides a hybrid vehicle clutch self-learning device, which comprises a hybrid vehicle clutch self-learning unit, wherein the hybrid vehicle clutch self-learning unit is used for:

in the clutch self-learning mode, if the clutch is in the engine driving working condition, starting a minimum joint point of the calibration clutch;

and after the clutch sliding friction point is completed, determining the maximum clutch separation point according to the calibrated clutch sliding friction point.

Specifically, in this embodiment, the hybrid vehicle clutch self-learning unit may be specifically configured to implement any one of the hybrid vehicle clutch self-learning methods described in the first embodiment, and the implementation process and the beneficial effects thereof are the same as those described in the first embodiment, and specific details are not repeated.

Example III

Fig. 3 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 3, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.

Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.

The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the hybrid vehicle clutch self-learning method.

In some embodiments, the hybrid vehicle clutch self-learning method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the hybrid vehicle clutch self-learning method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the hybrid vehicle clutch self-learning method in any other suitable manner (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on 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.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.

Note that the above is only a preferred embodiment of the present invention and the technical principle applied. 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, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.

Claims

1. A hybrid vehicle clutch self-learning method, comprising:

2. The hybrid vehicle clutch self-learning method of claim 1 wherein initiating a calibrated clutch minimum engagement point comprises:

3. The hybrid vehicle clutch self-learning method of claim 1 wherein initiating a calibrated clutch slip point comprises:

4. The hybrid vehicle clutch self-learning method of claim 1, wherein determining a clutch maximum disengagement point based on a clutch slip point comprises:

5. The hybrid vehicle clutch self-learning method of claim 1, further comprising:

6. The hybrid vehicle clutch self-learning method of claim 5 wherein the control calibrates the clutch minimum engagement point, clutch slip point and clutch maximum disengagement point using a clutch park self-learning method when the control disables the clutch self-learning mode and when the vehicle is started.

7. The hybrid vehicle clutch self-learning method of claim 6, wherein if the clutch park self-learning method fails to calibrate the clutch minimum engagement point, the clutch slip point, and the clutch maximum disengagement point, the vehicle is controlled to be placed in a motor drive mode while traveling.

8. The clutch self-learning device of the hybrid vehicle is characterized by comprising a clutch self-learning unit of the hybrid vehicle, wherein the clutch self-learning unit of the hybrid vehicle is used for:

and after the clutch sliding friction point is completed, determining a clutch maximum separation point according to the calibrated clutch sliding friction point.

9. An electronic device comprising at least one processor, and a memory communicatively coupled to the at least one processor;

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the hybrid vehicle clutch self-learning method of any one of claims 1-7.

10. A computer readable storage medium storing computer instructions for causing a processor to implement the hybrid vehicle clutch self-learning method of any one of claims 1-7 when executed.