An AMT gear self-learning method, device and equipment

Abstract

The application discloses an AMT gear self-learning method, device and equipment, which comprises the following steps: firstly, judging whether the speed difference and the torque of the target vehicle satisfy the preset conditions simultaneously after the target vehicle experiences the processes of clearing the twist, taking off the gear and adjusting the speed; if yes, carrying out the gear engagement operation and recording the top tooth point position at the preset number of gear engagement positions; then, triggering the gear self-learning of the AMT of the target vehicle when the preset trigger conditions of the gear self-learning are satisfied, and checking the gear according to the top tooth point position at the preset number of gear engagement positions by using the top tooth point position; when the checking result shows that the top tooth point position does not exceed the preset checking range, calculating the average value of the top tooth point position at the preset number of gear engagement positions; and finally, determining the self-learning values corresponding to the gears by using the average value, taking the in-gear positions of the target vehicle during gear shifting as the subsequent use, and realizing the in-gear driving of the target vehicle after the successful gear engagement. Therefore, the AMT gear self-learning effect can be effectively improved, and the accuracy of the AMT control gear engagement is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicles, in particular to an AMT gear self-learning method, device and equipment. BACKGROUND

[0002] With the improvement of people's living standards and the rapid development of social economy, the use rate of automobiles gradually increases, which brings great convenience to all aspects of people's life. Among them, in order to reduce the labor intensity of the driver, more and more vehicles are equipped with an electrically controlled mechanical automatic transmission (AMT) to replace the traditional clutch separation and engagement, gear shifting and engine speed and torque adjustment operations completed by the driver manually, so as to realize the automatic operation of the vehicle shifting process and improve the comfort of the driver.

[0003] However, since the AMT is usually composed of a large number of components, the cumulative error of each component is reflected in the initial point of the shifting shift head and the shifting stroke, etc., and each AMT may even exceed several millimeters, which cannot achieve complete consistency, resulting in that the AMT control program cannot effectively and accurately shift each newly processed AMT. For this reason, the traditional method is to calibrate the gear position of each AMT when it is delivered from the factory, so as to ensure the reliability of the AMT, but this method is time-consuming and laborious, and due to the difference in technical level and experience of each engineer, it cannot guarantee that each AMT obtains the optimal data. In addition, due to the influence of temperature changes and use wear and aging, the control accuracy and response speed of the motor on the shifting position are reduced, resulting in inconsistent and changing shifting positions. If the previous position value is still used to determine whether the gear is in place, it will cause incorrect judgment. Therefore, during the operation of the vehicle, it is necessary to ensure that the AMT can automatically learn the true gear position of different gears in real time, so as to improve the accuracy of the AMT control gear. SUMMARY

[0004] To solve the above problems, the present application provides an AMT gear self-learning method, device and equipment, and the specific technical solutions are as follows:

[0005] In a first aspect, the present application provides an AMT gear self-learning method, which comprises:

[0006] After the target vehicle experiences the clear twist, gear shifting and speed adjustment of the shifting process, it is judged whether the speed difference and torque of the target vehicle satisfy the preset condition at the same time;

[0007] If yes, the gear shifting operation is performed, and the top tooth point position at the preset number of gear shifting positions is recorded;

[0008] When a preset gear self-learning trigger condition is met, gear self-learning of an automatic mechanical transmission (AMT) of a target vehicle is triggered, and a top tooth point position when a preset number of gear engagement positions is used is checked according to a gear position;

[0009] When the checking result shows that the top tooth point position does not exceed a preset checking range, a mean value of the top tooth point position when the preset number of gear engagement positions is calculated;

[0010] The mean value is used to determine a self-learning value corresponding to each gear position of the target vehicle, which is used as a subsequent in-gear position when gear shifting of the target vehicle is performed, and in-gear driving of the target vehicle is realized after successful gear engagement.

[0011] In an optional implementation, the determination of whether the speed difference and the torque of the target vehicle simultaneously meet preset conditions comprises:

[0012] The determination of whether the speed difference of the target vehicle is within a range of [20 rpm, 100 rpm] and the determination of whether the torque of the target vehicle is within a range of [2 Nm, 20 Nm] are simultaneously performed.

[0013] In an optional implementation, the recording of the top tooth point position when the preset number of gear engagement positions is performed comprises:

[0014] The top tooth point positions when the preset number of gear engagement positions are recorded.

[0015] In an optional implementation, the trigger condition of the preset gear self-learning comprises at least one of the absence of a self-learning value in an electrically erasable programmable read-only memory (EEPROM) and the second derivative of the output shaft speed exceeding a preset threshold.

[0016] In an optional implementation, the target vehicle comprises gears 1, 2, 3, and 4; and the determination of the self-learning value corresponding to each gear position of the target vehicle using the mean value as the subsequent in-gear position when gear shifting of the target vehicle is performed comprises:

[0017] The self-learning values when the gears 1 and 3 are determined as [mean value + 4 mm, ∞), and the self-learning values when the gears 2 and 4 are determined as (-∞, mean value - 4 mm] as the subsequent in-gear positions when gear shifting of the target vehicle is performed.

[0018] In an optional implementation, after the checking of the top tooth point position according to the gear position, the method further comprises:

[0019] When the checking result shows that the top tooth point position exceeds the preset checking range, a preset warning mode is used to perform hardware fault warning.

[0020] In a second aspect, the application provides an AMT gear self-learning device, the device comprising:

[0021] a judging unit configured to judge whether the speed difference and the torque of the target vehicle simultaneously satisfy preset conditions after the target vehicle experiences the processes of clear clutch, gear shifting and speed adjustment;

[0022] a recording unit configured to perform a gear engagement operation and record the top tooth point position at the preset number of gear engagement positions if it is judged that the speed difference and the torque of the target vehicle simultaneously satisfy the preset conditions;

[0023] a verifying unit configured to trigger the gear self-learning of the AMT of the target vehicle when a preset gear self-learning triggering condition is satisfied, and verify according to the gear by using the top tooth point position at the preset number of gear engagement positions;

[0024] a calculating unit configured to calculate the mean value of the top tooth point position at the preset number of gear engagement positions when the verification result shows that the top tooth point position does not exceed the preset verification range;

[0025] a determining unit configured to determine the self-learning values corresponding to each gear of the target vehicle by using the mean value, as the in-gear positions for subsequent use when the target vehicle shifts gears, and realize the in-gear driving of the target vehicle after the gear engagement is successful.

[0026] In an optional implementation, the judging unit is specifically configured to:

[0027] judge whether the speed difference of the target vehicle is within the range of [20 rpm, 100 rpm], and simultaneously judge whether the torque of the target vehicle is within the range of [2 Nm, 20 Nm].

[0028] In an optional implementation, the recording unit is specifically configured to:

[0029] record the top tooth point positions at the 5 consecutive gear engagement positions.

[0030] In an optional implementation, the preset gear self-learning triggering condition comprises at least one of the following: no self-learning value in an electrically erasable programmable read-only memory (EEPROM) and the second derivative of the output shaft speed exceeding a preset threshold.

[0031] In an optional implementation, the target vehicle comprises gears 1, 2, 3 and 4; and the determining unit is specifically configured to:

[0032] determine the self-learning values at the gears 1 and 3 as [mean value + 4 mm, ∞), and determine the self-learning values at the gears 2 and 4 as (-∞, mean value - 4 mm], as the in-gear positions for subsequent use when the target vehicle shifts gears.

[0033] In an alternative implementation, the apparatus further comprises:

[0034] an alarm unit configured to alarm a hardware failure by using a preset alarm mode when the check result indicates that the top gear point position exceeds the preset check range.

[0035] The embodiment of the present application further provides an AMT gear self-learning device, comprising a processor, a memory and a system bus.

[0036] The processor and the memory are connected through the system bus.

[0037] The memory is configured to store one or more programs, and the one or more programs comprise instructions which, when executed by the processor, cause the processor to execute any one of the implementation manners of the AMT gear self-learning method.

[0038] The embodiment of the present application further provides a computer readable storage medium, wherein the computer readable storage medium stores instructions, and when the instructions run on a terminal device, the terminal device executes any one of the implementation manners of the AMT gear self-learning method.

[0039] In the AMT gear self-learning method provided by the present application, first, after the target vehicle experiences the clear twist, the gear shifting and the speed adjustment in the gear shifting process, it is judged whether the speed difference and the torque of the target vehicle simultaneously satisfy the preset condition; if yes, the gear shifting operation is performed, and the top gear point position at the preset number of gear shifting positions is recorded; then, when the trigger condition of the preset gear self-learning is satisfied, the gear self-learning of the electrically controlled mechanical automatic gearbox AMT of the target vehicle is triggered, and the top gear point position at the preset number of gear shifting positions is used to check according to the gear, when the check result indicates that the top gear point position does not exceed the preset check range, the average value of the top gear point position at the preset number of gear shifting positions is calculated; then, the average value is used to determine the self-learning value corresponding to each gear of the target vehicle, which is used as the in-gear position during the gear shifting of the target vehicle for subsequent use, and after the gear shifting is successful, the in-gear driving of the target vehicle is realized.

[0040] It can be seen that, by detecting the gear shifting position of the target vehicle in the gear shifting process, and by judging and calculating the top gear point position, the self-learning positions of each gear are obtained, and additional control logic and separate self-learning process are no longer needed, and the AMT gear self-learning effect can be effectively improved based on the data statistics of the existing gear shifting process, so that the accuracy of the AMT control gear shifting is further improved. BRIEF DESCRIPTION OF DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative labor based on these drawings.

[0042] Figure 1 A flowchart of an AMT gear self-learning method provided by the embodiments of the present application is shown in the figure.

[0043] Figure 2 A schematic diagram of the target vehicle AMT gear shifting process provided by the embodiments of the present application is shown in the figure.

[0044] Figure 3 A schematic diagram of the overall process of gear self-learning in the target vehicle AMT gear shifting process provided by the embodiments of the present application is shown in the figure.

[0045] Figure 4 A schematic diagram of the target vehicle gear distribution provided by the embodiments of the present application is shown in the figure.

[0046] Figure 5 A schematic diagram of the top tooth point position confirmation process provided by the embodiments of the present application is shown in the figure.

[0047] Figure 6 A schematic diagram of the top tooth point position conversion gear band provided by the embodiments of the present application is shown in the figure.

[0048] Figure 7 A structural schematic diagram of an AMT gear self-learning device provided by the embodiments of the present application is shown in the figure. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0050] In order to facilitate the understanding of the technical solutions provided by the present application, the research background of the technical solutions of the present application will be briefly described first.

[0051] As described in the background art, in order to reduce the labor intensity of the driver, more and more vehicles are equipped with AMT to realize the automation of the vehicle shifting process. Among them, AMT refers to the automatic control mechanism equipped with an electronic unit in the original mechanical manual transmission basic structure without change, which replaces the traditional manual clutch separation and engagement, gear shifting and engine, motor speed and torque adjustment operations, and realizes the automation of the shifting process. Moreover, the driving mode of the AMT actuator can be divided into electric, pneumatic, hydraulic and hybrid. The electric type uses a small electric motor as the driving actuator. The pneumatic type uses a cylinder as the driving actuator. The hydraulic type uses an oil cylinder as the driving actuator. The hybrid type refers to the use of the above power actuators in the same AMT execution system.

[0052] It should be noted that since AMT is usually composed of a large number of components, the cumulative error of each component cannot be completely consistent, which leads to the fact that the AMT control program cannot effectively and accurately shift each newly processed AMT. The traditional method is to calibrate the gear position of each AMT one by one when it is tested before leaving the factory, in order to ensure the reliability of the AMT, but this method is time-consuming and laborious, and due to the difference in technical level and experience of each engineer, it cannot guarantee that each AMT gets the optimal data. In addition, due to the influence of temperature changes and use, wear and aging, the control accuracy and response speed of the motor to the shifting position are reduced, resulting in inconsistent and changing shifting positions. If the automatic transmission control unit still uses the previous position value to determine whether the gear is in place, it will cause incorrect judgment. Therefore, during vehicle operation, it is necessary to ensure that the AMT can automatically learn the true gear position of different gears in real time, in order to improve the accuracy of AMT control gear shifting. However, at present, a separate self-learning process needs to be provided for the AMT, which will affect the riding experience of the vehicle user to some extent.

[0053] Based on this, the present application provides an AMT gear self-learning method, device and equipment, which can obtain the self-learning position of each gear through the detection of the shifting position of the target vehicle during the shifting process, and through the judgment and calculation of the top tooth point position, without the need for additional control logic and separate self-learning process, based on the data statistics of the existing shifting process, so as to effectively improve the AMT gear self-learning effect, and further improve the accuracy of AMT control gear shifting and the riding experience of the vehicle user.

[0054] The AMT gear self-learning method provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings. Referring to Figure 1 which shows a flowchart of an AMT gear self-learning method provided by an embodiment of the present application, the embodiment can include the following steps:

[0055] S101: After the target vehicle has gone through the gear shifting process of clearing torque, disengaging gear, and adjusting speed, determine whether the speed difference and torque of the target vehicle simultaneously meet the preset conditions.

[0056] In this embodiment, any vehicle that performs AMT gear self-learning through this application embodiment is defined as the target vehicle. Furthermore, the target vehicle's motor and the AMT transmission input shaft are rigidly connected. When the target vehicle's speed is within a certain range (e.g., ±5 kph), the AMT can shift gears, transmitting the gears to the vehicle's wheels via the output shaft, thus realizing the gear shifting process.

[0057] The schematic diagram of the AMT shifting process of the target vehicle is as follows: Figure 2 As shown, it mainly includes four processes: clearing torque, disengaging gear, adjusting speed, and engaging gear.

[0058] Specifically, during the gear shifting process of the target vehicle, such as Figure 2 As shown, initially, during torque clearing, the AMT shift actuator remains stationary and the shift position is unchanged. After the front torque is cleared to a certain range (the specific value is not limited and can be set according to actual conditions and experience), the gear shift is disengaged. The AMT shift actuator stops operating after the shift position reaches neutral, and then speed adjustment is performed. Thus, after the target vehicle has undergone the torque clearing, disengagement, and speed adjustment process, it can be determined whether the target vehicle's speed difference and torque simultaneously meet preset conditions (the specific conditions are not limited and can be set according to actual conditions and experience). One optional implementation method is to determine whether the target vehicle's speed difference and torque simultaneously meet preset conditions (the specific conditions are not limited and can be set according to actual conditions and experience). If the speed difference of the target vehicle is within the range of [20rpm, 100rpm], and at the same time, if the torque of the target vehicle is within the range of [2Nm, 20Nm], then the subsequent steps S102-S105 can be executed to perform the gear shifting action and gear self-learning process until the target vehicle is in the gear band position. At this point, the gear shifting is considered complete, and the target vehicle can be driven in gear after successful gear shifting.

[0059] S102: If so, perform the gear shifting operation and record the position of the top tooth at the preset number of shifting positions.

[0060] In this embodiment, if step S101 determines that the speed difference and torque of the target vehicle simultaneously meet preset conditions, then further, as... Figure 3 As shown, the position of the top tooth point can be confirmed. By recording the position of the top tooth point when the gear is engaged a preset number of times (the specific value is not limited and can be set according to the actual situation and experience, such as 5 times), the subsequent steps S103-S105 can be executed to realize the confirmation of the position of the top tooth point and gear self-learning.

[0061] Wherein, in order to record the top tooth point position when the preset number (such as 5 times) of gear engaging positions, the application first introduces the gear distribution diagram of the target vehicle, as shown in Figure 4 The left side of the figure, the target vehicle can include but not limited to 1 gear, 2 gear, 3 gear and 4 gear. The y axis direction is the gear shifting direction, through the combination of four valves into the corresponding gear. For example, to 2 gear to 3 gear is described, the vehicle with 2 gear, electromagnetic valve 2 is always open, the rest of the electromagnetic valve 1, electromagnetic valve 3, electromagnetic valve 4 is always closed, to prevent the position change off (transmission without self locking). When receiving the instruction of the demand gear change can enter the gear shifting process, clear twist, keep the same electromagnetic valve state in 2 gear, clear twist is completed, enter the gear pulling process, at this time keep electromagnetic valve 2 open, open electromagnetic valve 1, according to the position judgment for pulling empty after, two valve clear enable. After the speed regulation is completed, enter the gear engaging stage at this time open electromagnetic valve 3, until the gear engaging is successful, complete the whole process of 2 gear to 3 gear.

[0062] And as shown in the right side of the figure in Figure 4 2 gear to 1 gear, the actual gear engaging position curve, by recording the top tooth point position when engaging, real-time update, when from in gear position to pull the figure shows the top tooth point position, there will be a figure shows a clear "step", that is, the top tooth point position, so, through the curve shown in the right side of the figure in Figure 4 When the gear engaging position no longer changes after the gear engaging action is executed, as the top tooth point of the demand gear, the top tooth point position when the gear engaging position is recorded for 5 times (or other number, the application is not limited) can be used for subsequent judgment. For example, the demand position is 1 gear, the position of 5 points can be collected, respectively defined as Gr1Pos1, Gr1Pos2, Gr1Pos3, Gr1Pos4, Gr1Pos5, and the average value is taken as the confirmed top tooth point position, which is used for subsequent conversion processing to determine the in gear band.

[0063] S103: when the trigger condition of the preset gear self learning is met, trigger the gear self learning of the target vehicle electric control mechanical automatic transmission (AMT), and verify according to the gear by using the top tooth point position when the gear engaging position is preset number of times.

[0064] In this embodiment, after the top tooth point position when the gear engaging position is recorded for a preset number of times (such as 5 times) by step S102, further, it is first needed to judge whether the trigger condition of the gear self learning is met, wherein the specific content of the trigger condition of the gear self learning is not limited, which can be set according to the actual situation and experience value. One optional implementation manner is that the trigger condition of the preset gear self learning can include but not limited to at least one of the following: there is no self learning value in the electrically erasable programmable read-only memory (EEPROM), the second derivative of the output shaft speed exceeds the preset threshold.

[0065] This is because, if there is no self-learning value in the EEPROM, it means that the default data in the system is a value for the universality of the test of the sample vehicle, etc., and needs to be distinguished for the individual differences of the AMT transmission, so the gear self-learning of the AMT needs to be triggered. The second derivative of the output shaft speed can reflect the impact of the vehicle, and when the second derivative of the output shaft speed exceeds the preset threshold (the specific value is not limited, and can be set according to the actual situation and experience value, such as 0.35 m / m^3), it means that the impact or vibration is too large, and the current in-gear zone judgment does not meet the current state of the AMT transmission, and the gear self-learning is also restarted.

[0066] Therefore, when at least one of the conditions that there is no self-learning value in the EEPROM and the second derivative of the output shaft speed exceeds the preset threshold is met, the gear self-learning of the target vehicle AMT will be triggered, and the top tooth point positions (such as Gr1Pos1, Gr1Pos2, Gr1Pos3, Gr1Pos4, Gr1Pos5) at the gear engagement positions of the preset number (such as 5 times) recorded through step S102 are verified according to the gear to obtain a verification result. The specific verification range value is not limited, and can be set according to the actual situation and experience value, such as setting the verification range to [23mm, 25mm] or [15mm, 17mm] and the like.

[0067] When the verification result shows that the recorded top tooth point positions (such as Gr1Pos1, Gr1Pos2, Gr1Pos3, Gr1Pos4, Gr1Pos5) at the gear engagement positions of the preset number (such as 5 times) exceed the preset verification range, a hardware fault alarm (such as poor hardware consistency) can be performed using a preset alarm method (such as voice or text broadcast), and the fault condition is reported to facilitate timely hardware maintenance processing.

[0068] S104: When the verification result shows that the top tooth point positions do not exceed the preset verification range, calculate the average of the top tooth point positions at the gear engagement positions of the preset number.

[0069] In this embodiment, when the verification result obtained through step S103 shows that the top tooth point positions (such as Gr1Pos1, Gr1Pos2, Gr1Pos3, Gr1Pos4, Gr1Pos5) do not exceed the preset verification range, the average of the top tooth point positions at the gear engagement positions of the preset number (such as 5 times) is further calculated and defined as p, such as p = (Gr1Pos1 + Gr1Pos2 + Gr1Pos3 + Gr1Pos4 + Gr1Pos5) / 5, which is used to perform the subsequent step S105.

[0070] S105: The mean value is used to determine the self-learning value corresponding to each gear position of the target vehicle, which is used as the in-gear position during gear shifting of the target vehicle for subsequent use, and after successful gear engagement, the in-gear driving of the target vehicle is realized.

[0071] In this embodiment, after calculating the mean value p of the top tooth point position at the preset number (such as 5 times) of gear engagement positions by step S104, the mean value can be further used to determine the self-learning value corresponding to each gear position of the target vehicle, which is used as the in-gear position during gear shifting of the target vehicle for subsequent use, and after successful gear engagement, the in-gear driving of the target vehicle is realized.

[0072] Specifically, when the target vehicle includes 1st gear, 2nd gear, 3rd gear and 4th gear, the self-learning value at 1st gear and 3rd gear can be determined as [p+4mm, ∞) using the mean value p, and the self-learning value at 2nd gear and 4th gear can be determined as (-∞, p-4mm], which is used as the in-gear position during gear shifting of the target vehicle for subsequent use, as shown in Figure 5 .

[0073] Further, after confirming the top tooth point position through position verification, the in-gear band can be determined through conversion processing of the top tooth point position, as shown in Figure 6 . The various top tooth point positions in a curve similar to Figure 4 shown on the right side of FIG. 4 are standardized in Figure 6 on the right side, and there is a design value between the top tooth position and the limit position, and the specific value is not limited, which is set to 6mm in this application. Different AMT transmissions can be adjusted according to the design value. The in-gear band is usually set to 2mm for stability, such as 28mm-30mm for the in-gear band of 1st gear, and 30mm can be released in the system judgment, i.e. the distance from the in-gear band of 1st gear to the top tooth position can be set to 4mm. Similarly, the gear band values of other gear positions can be obtained.

[0074] In this way, after performing the above steps S101-S105, the top tooth position point at the gear engagement position is recognized through detection of the gear engagement position of the target vehicle during gear shifting, and instead of a separate self-learning process, the top tooth position is converted, and whether to trigger gear self-learning is judged according to whether there is a self-learning value in the EEPROM and whether the second derivative of the output shaft speed exceeds a preset threshold, to obtain the self-learning position of each gear position. Not only does this improve the effect of AMT gear self-learning, but it is also better for hardware coverage of different transmissions.

[0075] In summary, in the AMT gear self-learning method provided in the application, first, after the target vehicle experiences the clearing torque, gear shifting and speed adjustment in the gear shifting process, it is judged whether the speed difference and torque of the target vehicle simultaneously satisfy the preset condition; if yes, the gear shifting operation is performed, and the top tooth point position at the preset number of gear shifting positions is recorded; then, when the trigger condition of the preset gear self-learning is satisfied, the gear self-learning of the electrically controlled mechanical automatic transmission (AMT) of the target vehicle is triggered, and the top tooth point position at the preset number of gear shifting positions is used to check according to the gear, when the checking result shows that the top tooth point position does not exceed the preset checking range, the average value of the top tooth point position at the preset number of gear shifting positions is calculated; then, the average value is used to determine the self-learning value corresponding to each gear of the target vehicle, which is used as the in-gear position during gear shifting of the target vehicle for subsequent use, and after the gear shifting is successfully performed, the in-gear driving of the target vehicle is realized.

[0076] It can be seen that, in the application, the self-learning positions of each gear are obtained through the detection of the gear shifting position of the target vehicle in the gear shifting process and the judgment and calculation of the top tooth point position, without the need of additional control logic and separate self-learning process, and the self-learning effect of the AMT gear can be effectively improved based on the data statistics of the existing gear shifting process, thereby further improving the accuracy of the AMT control gear shifting.

[0077] The above embodiment describes the technical scheme of the method of the application in detail, and accordingly, the application further provides an AMT gear self-learning device, which is introduced as follows.

[0078] Referring to Figure 7 , Figure 7 is a structural diagram of an AMT gear self-learning device provided in an embodiment of the application, as shown in Figure 7 , the device comprises:

[0079] A judgment unit 701 is configured to judge whether the speed difference and torque of the target vehicle simultaneously satisfy the preset condition after the target vehicle experiences the clearing torque, gear shifting and speed adjustment in the gear shifting process.

[0080] A recording unit 702 is configured to perform the gear shifting operation and record the top tooth point position at the preset number of gear shifting positions if it is judged that the speed difference and torque of the target vehicle simultaneously satisfy the preset condition.

[0081] A checking unit 703 is configured to trigger the gear self-learning of the electrically controlled mechanical automatic transmission (AMT) of the target vehicle when the trigger condition of the preset gear self-learning is satisfied, and check according to the gear by using the top tooth point position at the preset number of gear shifting positions.

[0082] A calculation unit 704 is configured to calculate the average value of the top tooth point position at the preset number of gear shifting positions when the checking result shows that the top tooth point position does not exceed the preset checking range.

[0083] The determining unit 705 is configured to determine the self-learning value corresponding to each gear of the target vehicle by using the mean value, as the in-gear position for subsequent use when the target vehicle shifts gears, and to realize the in-gear driving of the target vehicle after the gear engagement is successful.

[0084] In an implementation form of the embodiment, the judging unit 701 is specifically configured to:

[0085] judge whether the speed difference of the target vehicle is within the range of [20 rpm, 100 rpm] and whether the torque of the target vehicle is within the range of [2 Nm, 20 Nm] at the same time.

[0086] In an implementation form of the embodiment, the recording unit 702 is specifically configured to:

[0087] record the top tooth point position when the gear engagement position is continuously engaged for 5 times.

[0088] In an implementation form of the embodiment, the trigger condition of the preset gear self-learning includes at least one of the following: there is no self-learning value in an electrically erasable programmable read-only memory (EEPROM), and the second derivative of the output shaft speed exceeds a preset threshold.

[0089] In an implementation form of the embodiment, the target vehicle includes gears 1, 2, 3, and 4; and the determining unit 705 is specifically configured to:

[0090] determine the self-learning value when the gears 1 and 3 as [mean value + 4 mm, ∞), and determine the self-learning value when the gears 2 and 4 as (-∞, mean value - 4 mm], as the in-gear position for subsequent use when the target vehicle shifts gears.

[0091] In an implementation form of the embodiment, the device further includes:

[0092] The warning unit is configured to perform hardware fault warning by using a preset warning mode when the verification result indicates that the top tooth point position exceeds the preset verification range.

[0093] In this way, in the AMT gear self-learning device provided in the application, first, after the target vehicle experiences the clear twist, the gear shifting, and the speed adjustment in the gear shifting process, it is determined whether the speed difference and the torque of the target vehicle simultaneously satisfy the preset condition; if yes, the gear shifting operation is performed, and the tooth point position at the preset number of gear shifting positions is recorded; then, when the trigger condition of the preset gear self-learning is satisfied, the gear self-learning of the electric control mechanical automatic transmission (AMT) of the target vehicle is triggered, and the tooth point position at the preset number of gear shifting positions is used to check according to the gear, when the checking result shows that the tooth point position does not exceed the preset checking range, the average value of the tooth point position at the preset number of gear shifting positions is calculated; then, the average value is used to determine the self-learning value corresponding to each gear of the target vehicle, which is used as the in-gear position of the target vehicle during gear shifting for subsequent use, and after the gear shifting is successfully performed, the in-gear driving of the target vehicle is realized.

[0094] It can be seen that, in the application, the self-learning positions of each gear are obtained through the detection of the gear shifting position of the target vehicle in the gear shifting process and the judgment and calculation of the tooth point position, and the additional control logic and the separate self-learning process are no longer needed, and the self-learning effect of the AMT gear can be effectively improved based on the data statistics of the existing gear shifting process, so as to further improve the accuracy of the AMT control gear shifting.

[0095] Further, the embodiment of the application further provides an AMT gear self-learning device, which comprises a processor, a memory, and a system bus.

[0096] The processor and the memory are connected through the system bus.

[0097] The memory is used to store one or more programs, and the one or more programs comprise instructions, which, when executed by the processor, make the processor execute any one of the implementation methods of the AMT gear self-learning method.

[0098] Further, the embodiment of the application further provides a computer readable storage medium, and the computer readable storage medium stores instructions, and when the instructions run on the terminal device, the terminal device executes any one of the implementation methods of the AMT gear self-learning method.

[0099] It should be noted that, in the present application, each embodiment is described in a progressive manner, and each embodiment focuses on the difference from other embodiments, and the same or similar parts of each embodiment can be referred to each other. For the system or device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the related parts are described in the method part.

[0100] It is also to be noted that, as used in the specification and the appended claims, the singular forms "a," "an" and "the" include plural referents unless otherwise indicated. Furthermore, to the extent that the terms "including," "includes," "having," "has," "with," or "contains" are used in either the detailed description and the claims, such terms are intended to be inclusive in a manner similar to the term "comprising" as an open transition term without precluding any additional or other elements.

[0101] The embodiments disclosed herein can each be implemented as a method, apparatus, or article of manufacture using programming instructions. The embodiments disclosed herein can be implemented using software, firmware, hardware, or a combination thereof. The various elements of the disclosed embodiments, as well as the embodiments themselves, can be constructed from any combination of hardware, software, and / or firmware. The software implementation can be implemented by one or more software modules using object-oriented design methodology, among other techniques. The software modules can be stored on any computer-readable medium, including RAM, ROM, EEPROM, flash memory, or a hard disk, to name a few. The software modules can include one or more routines.

[0102] The above description of disclosed embodiments provides enough information to enable those skilled in the art to make and use the application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein can be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An AMT gear self-learning method, characterized in that, The method comprises: After the target vehicle experiences the processes of clearing torque, shifting out, and speed adjustment in the shifting process, it is determined whether the speed difference and the torque of the target vehicle simultaneously satisfy preset conditions; If yes, a gear engaging operation is performed, and the tooth point position at the preset number of times of gear engaging positions is recorded; When a trigger condition of preset gear self-learning is satisfied, gear self-learning of an electrically controlled mechanical automatic transmission (AMT) of the target vehicle is triggered, and the tooth point position at the preset number of times of gear engaging positions is used to perform checking according to gears; When a checking result shows that the tooth point position does not exceed a preset checking range, a mean value of the tooth point position at the preset number of times of gear engaging positions is calculated; The mean value is used to determine self-learning values corresponding to gears of the target vehicle, which are used as in-gear positions in subsequent shifting of the target vehicle, and in-gear driving of the target vehicle is realized after successful gear engaging.

2. The method of claim 1, wherein, The determination of whether the speed difference and the torque of the target vehicle simultaneously satisfy preset conditions comprises: It is determined whether the speed difference of the target vehicle is within a range of [20 rpm, 100 rpm], and simultaneously whether the torque of the target vehicle is within a range of [2 Nm, 20 Nm].

3. The method of claim 1, wherein, The recording of the tooth point position at the preset number of times of gear engaging positions comprises: The tooth point positions at the gear engaging positions for 5 consecutive times are recorded.

4. The method of claim 1, wherein, The trigger condition of preset gear self-learning comprises at least one of the absence of self-learning values in an electrically erasable programmable read-only memory (EEPROM) and the second derivative of the output shaft speed exceeding a preset threshold.

5. The method of claim 1, wherein, The target vehicle comprises gears 1, 2, 3, and 4; and the use of the mean value to determine self-learning values corresponding to gears of the target vehicle comprises: The self-learning values at the gears 1 and 3 are determined as [mean value + 4 mm, ∞), and the self-learning values at the gears 2 and 4 are determined as (-∞, mean value - 4 mm], which are used as in-gear positions in subsequent shifting of the target vehicle.

6. The method according to any one of claims 1 to 5, characterized in that, After the checking according to gears using the tooth point position at the preset number of times of gear engaging positions, the method further comprises: When a checking result shows that the tooth point position exceeds a preset checking range, a hardware fault alarm is performed using a preset alarm mode.

7. An AMT gear self-learning device, characterized by comprising: The device comprises: A determination unit is configured to determine, after the target vehicle experiences the processes of clearing torque, shifting out, and speed adjustment in the shifting process, whether the speed difference and the torque of the target vehicle simultaneously satisfy preset conditions; A recording unit is configured to perform a gear engaging operation and record the tooth point position at the preset number of times of gear engaging positions if it is determined that the speed difference and the torque of the target vehicle simultaneously satisfy preset conditions; A checking unit is configured to trigger gear self-learning of an electrically controlled mechanical automatic transmission (AMT) of the target vehicle when a trigger condition of preset gear self-learning is satisfied, and perform checking according to gears using the tooth point position at the preset number of times of gear engaging positions; A calculation unit is configured to calculate a mean value of the tooth point position at the preset number of times of gear engaging positions when a checking result shows that the tooth point position does not exceed a preset checking range. The determining unit is configured to determine the self-learning value corresponding to each gear of the target vehicle by using the mean value, as the in-gear position for subsequent use when the target vehicle shifts gears, and to realize the in-gear driving of the target vehicle after the gear engagement is successful.

8. The apparatus of claim 7, wherein, The judging unit is specifically configured to: Judge whether the speed difference of the target vehicle is within the range of [20rpm, 100rpm] and whether the torque of the target vehicle is within the range of [2Nm, 20Nm] at the same time.

9. An AMT gear self-learning device, characterized by comprising: Comprise: A processor, a memory, and a system bus; The processor and the memory are connected through the system bus; The memory is configured to store one or more programs, and the one or more programs include instructions which, when executed by the processor, cause the processor to execute the method of any one of claims 1-6.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores instructions, and when the instructions run on the terminal device, the terminal device executes the method of any one of claims 1-6.

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