CN116877687A - Self-learning method and device for highest gear of gearbox, electronic equipment and storage medium - Google Patents

Self-learning method and device for highest gear of gearbox, electronic equipment and storage medium Download PDF

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Publication number
CN116877687A
CN116877687A CN202310806409.1A CN202310806409A CN116877687A CN 116877687 A CN116877687 A CN 116877687A CN 202310806409 A CN202310806409 A CN 202310806409A CN 116877687 A CN116877687 A CN 116877687A
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CN
China
Prior art keywords
gear
highest gear
learning
vehicle
eeprom
Prior art date
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Pending
Application number
CN202310806409.1A
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Chinese (zh)
Inventor
高登峰
武玉臣
申宗
张红倩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Weichai Power Co Ltd
Weifang Weichai Power Technology Co Ltd
Original Assignee
Weichai Power Co Ltd
Weifang Weichai Power Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Weichai Power Co Ltd, Weifang Weichai Power Technology Co Ltd filed Critical Weichai Power Co Ltd
Priority to CN202310806409.1A priority Critical patent/CN116877687A/en
Publication of CN116877687A publication Critical patent/CN116877687A/en
Pending legal-status Critical Current

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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16H—GEARING
    • F16H61/00—Control functions within control units of change-speed- or reversing-gearings for conveying rotary motion ; Control of exclusively fluid gearing, friction gearing, gearings with endless flexible members or other particular types of gearing
    • F16H61/02—Control functions within control units of change-speed- or reversing-gearings for conveying rotary motion ; Control of exclusively fluid gearing, friction gearing, gearings with endless flexible members or other particular types of gearing characterised by the signals used
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16H—GEARING
    • F16H61/00—Control functions within control units of change-speed- or reversing-gearings for conveying rotary motion ; Control of exclusively fluid gearing, friction gearing, gearings with endless flexible members or other particular types of gearing
    • F16H61/04—Smoothing ratio shift
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16H—GEARING
    • F16H61/00—Control functions within control units of change-speed- or reversing-gearings for conveying rotary motion ; Control of exclusively fluid gearing, friction gearing, gearings with endless flexible members or other particular types of gearing
    • F16H2061/0075—Control functions within control units of change-speed- or reversing-gearings for conveying rotary motion ; Control of exclusively fluid gearing, friction gearing, gearings with endless flexible members or other particular types of gearing characterised by a particular control method
    • F16H2061/0087—Adaptive control, e.g. the control parameters adapted by learning

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Control Of Transmission Device (AREA)

Abstract

The application provides a self-learning method and device for the highest gear of a gearbox, electronic equipment and a storage medium, relating to the technical field of vehicle manufacturing, and comprising the following steps: acquiring a first working condition under a first condition; acquiring the highest gear value stored in the EEPROM under the first working condition; pre-learning the highest gear according to the first working condition and the highest gear value stored in the EEPROM under the first working condition to obtain a pre-learning result; and the control ECU determines the highest gear of the final vehicle according to the pre-learning result and the first condition. The highest gear of the automatic transmission matched with the current engine model can be automatically and accurately identified by the vehicle.

Description

Self-learning method and device for highest gear of gearbox, electronic equipment and storage medium
Technical Field
The application relates to the technical field of vehicle manufacturing, in particular to a self-learning method and device for a highest gear of a gearbox, electronic equipment and a storage medium.
Background
In the traditional scheme, the engine with the same order number can only be matched with an automatic gearbox with a fixed gear, so that the data maintenance amount is large, the data standard amount is large, the maintenance cost is increased, errors are easy to occur, and the efficiency is low.
Therefore, it is needed to provide a self-learning method for the highest gear of a transmission to at least solve the technical problem that an engine can only match an automatic transmission with a fixed gear in the prior art.
Disclosure of Invention
The application provides a self-learning method and device for the highest gear of a gearbox, electronic equipment and a storage medium, which at least solve the technical problem that an engine can only be matched with an automatic gearbox with a fixed gear in the related technology.
According to an aspect of the embodiment of the application, there is provided a self-learning method for a highest gear of a gearbox, including: acquiring a first working condition under a first condition; acquiring the highest gear value stored in the EEPROM under the first working condition; pre-learning the highest gear according to the first working condition and the highest gear value stored in the EEPROM under the first working condition to obtain a pre-learning result; and the control ECU determines the highest gear of the final vehicle according to the pre-learning result and the first condition.
As an alternative embodiment, the first condition includes: the engine speed is less than the speed limit value and the whole vehicle speed is greater than the speed limit value; the first working condition includes: the transmission speed ratio is 1.
As an optional embodiment, the pre-learning the highest gear according to the first operating condition and the highest gear value stored in the EEPROM under the first operating condition includes: judging whether the highest gear value stored in the current EEPROM is 0; and if the highest gear value stored in the current EEPROM is 0, presetting the current gear of the vehicle as the highest gear of the vehicle.
As an optional embodiment, the pre-learning the highest gear according to the first operating condition and the highest gear value stored in the EEPROM under the first operating condition includes: if the highest gear value stored in the current EEPROM is not 0, judging whether the gear value of the current gearbox is equal to the highest gear value stored in the current EEPROM; and if the current gear is not equal to the highest gear value stored in the current EEPROM, presetting the current gear of the vehicle as the highest gear of the vehicle.
As an optional embodiment, the pre-learning the highest gear according to the first operating condition and the highest gear value stored in the EEPROM under the first operating condition includes: and if the current gear is equal to the highest gear value stored in the current EEPROM, presetting the highest gear value stored in the current EEPROM as the highest gear value of the vehicle.
As an alternative embodiment, determining the highest gear of the vehicle according to the pre-learning result and the first working condition includes: acquiring a speed ratio of the gearbox under a first condition; judging whether the speed ratio of the gearbox under the first condition is smaller than 1; and if the transmission speed ratio under the first condition is smaller than 1, setting the gear corresponding to the transmission speed ratio smaller than 1 as the highest gear of the final vehicle.
As an alternative embodiment, determining the highest gear of the vehicle according to the pre-learning result and the first working condition includes: and if the transmission speed ratio under the first condition is not less than 1, setting the pre-learning result as the highest gear of the final vehicle.
As an alternative embodiment, further comprising: acquiring a current gear of a vehicle; determining a difference between the current gear of the vehicle and the highest gear of the final vehicle; and calling calibration information according to the difference value between the current gear of the vehicle and the highest gear of the final vehicle.
According to still another aspect of the present application, there is provided a transmission highest gear self-learning device including: the first working condition acquisition module is used for acquiring a first working condition under a first condition; the EEPROM value acquisition module is used for acquiring the highest gear value stored in the EEPROM under the first working condition; the pre-learning module is used for pre-learning the highest gear according to the first working condition and the highest gear value stored in the EEPROM under the first working condition to obtain a pre-learning result; and the highest gear determining module is used for controlling the ECU to determine the highest gear of the final vehicle according to the pre-learning result and the first condition.
According to still another aspect of the present application, there is provided an electronic device including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory complete communication with each other through the communication bus, the memory storing a computer program; the processor is configured to execute steps of a self-learning method for a highest gear of a transmission by running the computer program stored on the memory.
In the embodiment of the application, a self-learning method for the highest gear of a gearbox is provided, the highest gear can be pre-learned according to the first working condition and the highest gear value stored in an EEPROM under the first working condition, a pre-learning result is obtained, and the ECU is controlled to determine the highest gear of a final vehicle according to the pre-learning result and a first condition. The technical problems that in the traditional scheme, an engine with the same order number can only be started to be matched with an automatic gearbox with a fixed gear number, the data maintenance amount is large, the data standard amount is large, the maintenance cost is increased, errors are easy to occur, and the efficiency is low are solved; the vehicle can automatically and accurately identify the highest gear of the automatic gear box matched with the current engine model; meanwhile, by means of pre-learning under the first working condition, the data standard quantity is effectively reduced, and the self-learning accuracy is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a schematic flow chart of a method for self-learning the highest gear of a transmission according to an embodiment of the present application;
FIG. 2 is a calibration information index representing intent in accordance with an embodiment of the present application;
fig. 3 is a schematic structural view of an alternative electronic device according to an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the prior art, an engine with the same order number can only be started to be matched with an automatic gearbox with a fixed gear, so that the automatic gearbox has the advantages of large data maintenance quantity, large data standard quantity, increased maintenance cost, easiness in error and low efficiency.
In an embodiment of the application, a self-learning method for a highest gear of a gearbox is provided, which comprises the following steps:
s1, acquiring a first working condition under a first condition;
s2, acquiring the highest gear value stored in the EEPROM under the first working condition;
s3, pre-learning the highest gear according to the first working condition and the highest gear value stored in the EEPROM under the first working condition to obtain a pre-learning result;
and S4, the control ECU determines the highest gear of the final vehicle according to the pre-learning result and the first condition.
Specifically, in the above method, the information such as the speed ratio value corresponding to the highest gear of the vehicle is stored in the EEPROM, which is the charged erasable programmable read-only memory, and is the user-modifiable read-only memory, which can be erased and reprogrammed (rewritten) by the action of a voltage higher than the ordinary voltage. The method can pre-learn the highest gear according to the first working condition and the highest gear value stored in the EEPROM under the first working condition to obtain a pre-learning result and control the ECU to determine the highest gear of the final vehicle according to the pre-learning result and the first condition. The technical problems that in the traditional scheme, an engine with the same order number can only be started to be matched with an automatic gearbox with a fixed gear number, the data maintenance amount is large, the data standard amount is large, the maintenance cost is increased, errors are easy to occur, and the efficiency is low are solved; the vehicle can automatically and accurately identify the highest gear of the automatic gear box matched with the current engine model; meanwhile, by means of pre-learning under the first working condition, the data standard quantity is effectively reduced, and the self-learning accuracy is improved.
As an alternative embodiment, the first condition includes: the engine speed is less than the speed limit value and the whole vehicle speed is greater than the speed limit value; the first working condition includes: the transmission speed ratio is 1.
Specifically, as the engine speed increases, the transmission ratio gradually decreases, and when the engine is running in first gear, the transmission ratio is maximized. The transmission ratio may be less than 1 or equal to 1 at the highest gear of the vehicle, and the vehicle is in the next highest gear when the transmission ratio is less than 1 at the highest gear of the vehicle, then the transmission ratio is 1. Therefore, when the highest gear of the vehicle is default to the transmission speed ratio of 1 at the time of highest gear pre-learning, the vehicle is in the highest gear.
As an optional embodiment, the pre-learning the highest gear according to the first operating condition and the highest gear value stored in the EEPROM under the first operating condition includes: judging whether the highest gear value stored in the current EEPROM is 0; and if the highest gear value stored in the current EEPROM is 0, presetting the current gear of the vehicle as the highest gear of the vehicle.
It should be understood that, if the highest gear value stored in the current EEPROM is 0, it is described that the self-learning is performed on the highest gear of the gearbox for the first time, so that the current gear of the vehicle is directly preset as the highest gear of the vehicle.
As an optional embodiment, the pre-learning the highest gear according to the first operating condition and the highest gear value stored in the EEPROM under the first operating condition includes: if the highest gear value stored in the current EEPROM is not 0, judging whether the gear value of the current gearbox is equal to the highest gear value stored in the current EEPROM; and if the current gear is not equal to the highest gear value stored in the current EEPROM, presetting the current gear of the vehicle as the highest gear of the vehicle.
Specifically, if the highest gear value stored in the current EEPROM is not 0 and the current gear is not equal to the highest gear value stored in the current EEPROM, it indicates that the model of the automatic gearbox matched with the engine is changed, so that the highest gear value stored in the current EEPROM is not effective any more, and therefore the current gear of the vehicle is preset as the highest gear of the vehicle.
As an optional embodiment, the pre-learning the highest gear according to the first operating condition and the highest gear value stored in the EEPROM under the first operating condition includes: and if the current gear is equal to the highest gear value stored in the current EEPROM, presetting the highest gear value stored in the current EEPROM as the highest gear value of the vehicle.
It should be understood that if the current gear is equal to the highest gear value stored in the current EEPROM, it is indicated that there is a high probability that the automatic gearbox currently matched with the engine is not changed, or that the automatic gearbox currently matched with the engine and the automatic gearbox corresponding to the highest gear value stored in the current EEPROM are of the same model, and at this time, the highest gear value stored in the current EEPROM may be preset as the highest gear value of the vehicle.
As an alternative embodiment, determining the highest gear of the vehicle according to the pre-learning result and the first working condition includes: acquiring a speed ratio of the gearbox under a first condition; judging whether the speed ratio of the gearbox under the first condition is smaller than 1; and if the transmission speed ratio under the first condition is smaller than 1, setting the gear corresponding to the transmission speed ratio smaller than 1 as the highest gear of the final vehicle.
As an alternative embodiment, determining the highest gear of the vehicle according to the pre-learning result and the first working condition includes: and if the transmission speed ratio under the first condition is not less than 1, setting the pre-learning result as the highest gear of the final vehicle.
Specifically, it is acquired whether or not there is a case where the transmission speed ratio is less than 1 when the engine speed is less than the speed limit value and the vehicle speed is greater than the speed limit value. If the transmission speed ratio in the first condition is less than 1, it is indicated that the transmission speed ratio is less than 1 in the highest gear of the vehicle, and the gear corresponding to the transmission speed ratio less than 1 is set as the highest gear of the final vehicle. If the transmission speed ratio under the first condition is not less than 1, the transmission speed ratio is equal to 1 when the transmission is at the highest gear of the vehicle, and the pre-learning result is set to be the highest gear of the final vehicle.
As an alternative embodiment, further comprising: acquiring a current gear of a vehicle; determining a difference between the current gear of the vehicle and the highest gear of the final vehicle; and calling calibration information according to the difference value between the current gear of the vehicle and the highest gear of the final vehicle.
Specifically, when the highest gear stored in the EEPROM is read to be larger than the minimum gear number automatic transmission matched with the calibrated vehicle type, the current gear self-learning can be considered to be completed. The value of the automatic gear box with the minimum gear number can be calibrated and updated through a calibration tool. Before gear self-learning is completed, a default value is used, and the value is calibrated according to actual conditions. The engine with the same order number is matched with the automatic gear speed changing box with different gear numbers, and the corresponding highest-gear calibration data are consistent, so that after the gear self-learning is finished, the difference between the highest gear stored in the EEPROM and the acquired current gear can be used as an index value, and calibration information can be called according to the index value in a table look-up mode as shown in fig. 2. By the method, calibration information of gearboxes with different gears can be obtained without repeated calibration, and the calibration information corresponding to the current gear can be queried through the index value after the self-learning of the highest gear is completed.
From the description of the above embodiments, it will be clear to a person skilled in the art that the method according to the above embodiments may be implemented by means of software plus the necessary general hardware platform, but of course also by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM (Read-Only Memory)/RAM (Random Access Memory), magnetic disk, optical disk), comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present application.
According to another aspect of the embodiment of the present application, there is also provided a transmission top gear self-learning device for implementing the transmission top gear self-learning method, where the device may include:
the first working condition acquisition module is used for acquiring a first working condition under a first condition;
the EEPROM value acquisition module is used for acquiring the highest gear value stored in the EEPROM under the first working condition;
the pre-learning module is used for pre-learning the highest gear according to the first working condition and the highest gear value stored in the EEPROM under the first working condition to obtain a pre-learning result;
and the highest gear determining module is used for controlling the ECU to determine the highest gear of the final vehicle according to the pre-learning result and the first condition.
It should be noted that the above modules are the same as examples and application scenarios implemented by the corresponding steps, but are not limited to what is disclosed in the above embodiments. It should be noted that, the above modules may be implemented in a hardware environment as part of the apparatus, and may be implemented by software, or may be implemented by hardware, where the hardware environment includes a network environment.
According to another aspect of the present application, there is provided an electronic apparatus including:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the transmission top-gear self-learning method as claimed in any one of the preceding claims.
Fig. 3 is a block diagram of an alternative electronic device, according to an embodiment of the application, as shown in fig. 3, including a processor 202, a communication interface 204, a memory 206, and a communication bus 208, wherein the processor 202, the communication interface 204, and the memory 206 communicate with each other via the communication bus 208, wherein,
a memory 206 for storing a computer program;
the processor 202 is configured to execute the computer program stored in the memory 206, and implement the following steps:
acquiring a first working condition under a first condition;
acquiring the highest gear value stored in the EEPROM under the first working condition;
pre-learning the highest gear according to the first working condition and the highest gear value stored in the EEPROM under the first working condition to obtain a pre-learning result;
and the control ECU determines the highest gear of the final vehicle according to the pre-learning result and the first condition.
As an alternative embodiment, in this embodiment, the above-described communication bus may be a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus, or an EISA (Extended Industry Standard Architecture ) bus, or the like. The communication bus may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, only one thick line is shown in fig. 3, but not only one bus or one type of bus.
The communication interface is used for communication between the electronic device and other devices.
The memory may include RAM or may include non-volatile memory (non-volatile memory), such as at least one disk memory. As an alternative embodiment, the memory may also be at least one memory device located remotely from the aforementioned processor.
The processor may be a general purpose processor and may include, but is not limited to: CPU (Central Processing Unit ), NP (Network Processor, network processor), etc.; but also DSP (Digital Signal Processing, digital signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field-Programmable Gate Array, field programmable gate array) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components.
As an alternative embodiment, reference may be made to the examples described in the foregoing embodiments for specific examples in this embodiment, which are not described herein.
It will be appreciated by those skilled in the art that the structure shown in fig. 3 is only illustrative, and the device implementing the above-mentioned self-learning method for the highest gear of the gearbox may be a terminal device, and the terminal device may be a smart phone (such as an Android mobile phone, an IOS mobile phone, etc.), a tablet computer, a palm computer, a mobile internet device (Mobile Internet Devices, MID), a PAD, etc. Fig. 3 is not limited to the structure of the electronic device. For example, the terminal device may also include more or fewer components (e.g., network interfaces, display devices, etc.) than shown in fig. 3, or have a different configuration than shown in fig. 3.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be implemented by a program for instructing a terminal device to execute in association with hardware, the program may be stored in a computer readable storage medium, and the storage medium may include: flash disk, ROM, RAM, magnetic or optical disk, etc.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
The integrated units in the above embodiments may be stored in the above-described computer-readable storage medium if implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing one or more computer devices (which may be personal computers, servers or network devices, etc.) to perform all or part of the steps of the method described in the embodiments of the present application.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In several embodiments provided by the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, such as the division of the units, is merely a logical function division, and may be implemented in another manner, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution provided in the present embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application, which are intended to be comprehended within the scope of the present application.

Claims (10)

1. The highest gear self-learning method of the gearbox is characterized by comprising the following steps of:
acquiring a first working condition under a first condition;
acquiring the highest gear value stored in the EEPROM under the first working condition;
pre-learning the highest gear according to the first working condition and the highest gear value stored in the EEPROM under the first working condition to obtain a pre-learning result;
and the control ECU determines the highest gear of the final vehicle according to the pre-learning result and the first condition.
2. The transmission top-gear self-learning method of claim 1 wherein the first condition comprises:
the engine speed is less than the speed limit value and the whole vehicle speed is greater than the speed limit value;
the first working condition includes: the transmission speed ratio is 1.
3. The transmission top gear self-learning method of claim 2, wherein pre-learning the top gear according to the first operating condition and the top gear value stored in the EEPROM under the first operating condition comprises:
judging whether the highest gear value stored in the current EEPROM is 0;
and if the highest gear value stored in the current EEPROM is 0, presetting the current gear of the vehicle as the highest gear of the vehicle.
4. A transmission top gear self-learning method as claimed in claim 3, wherein said pre-learning the top gear according to the first condition and the top gear value stored in the EEPROM under the first condition comprises:
if the highest gear value stored in the current EEPROM is not 0, judging whether the gear value of the current gearbox is equal to the highest gear value stored in the current EEPROM;
and if the current gear is not equal to the highest gear value stored in the current EEPROM, presetting the current gear of the vehicle as the highest gear of the vehicle.
5. The method of self-learning a highest gear of a transmission of claim 4, wherein pre-learning the highest gear based on the first operating condition and a highest gear value stored in an EEPROM under the first operating condition comprises:
and if the current gear is equal to the highest gear value stored in the current EEPROM, presetting the highest gear value stored in the current EEPROM as the highest gear value of the vehicle.
6. The transmission highest gear self-learning method of claim 2, wherein determining the highest gear of the vehicle based on the pre-learning result and the first operating condition comprises:
acquiring a speed ratio of the gearbox under a first condition;
judging whether the speed ratio of the gearbox under the first condition is smaller than 1;
and if the transmission speed ratio under the first condition is smaller than 1, setting the gear corresponding to the transmission speed ratio smaller than 1 as the highest gear of the final vehicle.
7. The transmission top gear self-learning method of claim 6 wherein determining the vehicle top gear based on the pre-learning result and the first operating condition comprises:
and if the transmission speed ratio under the first condition is not less than 1, setting the pre-learning result as the highest gear of the final vehicle.
8. The transmission top gear self-learning method of claim 1, further comprising:
acquiring a current gear of a vehicle;
determining a difference between the current gear of the vehicle and the highest gear of the final vehicle;
and calling calibration information according to the difference value between the current gear of the vehicle and the highest gear of the final vehicle.
9. The utility model provides a gearbox highest gear self-learning device which characterized in that includes:
the first working condition acquisition module is used for acquiring a first working condition under a first condition;
the EEPROM value acquisition module is used for acquiring the highest gear value stored in the EEPROM under the first working condition;
the pre-learning module is used for pre-learning the highest gear according to the first working condition and the highest gear value stored in the EEPROM under the first working condition to obtain a pre-learning result;
and the highest gear determining module is used for controlling the ECU to determine the highest gear of the final vehicle according to the pre-learning result and the first condition.
10. An electronic device comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus, characterized in that,
the memory is used for storing a computer program;
the processor is configured to execute the gearbox highest gear self-learning method steps of any of claims 1 to 8 by running the computer program stored on the memory.
CN202310806409.1A 2023-07-03 2023-07-03 Self-learning method and device for highest gear of gearbox, electronic equipment and storage medium Pending CN116877687A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310806409.1A CN116877687A (en) 2023-07-03 2023-07-03 Self-learning method and device for highest gear of gearbox, electronic equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310806409.1A CN116877687A (en) 2023-07-03 2023-07-03 Self-learning method and device for highest gear of gearbox, electronic equipment and storage medium

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CN116877687A true CN116877687A (en) 2023-10-13

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