Intelligent gear shifting control method and device for gearbox, control equipment and storage medium

Abstract

The invention relates to a gearbox intelligent gear shifting control method and device, control equipment and a storage medium, and belongs to the technical field of vehicle gearbox control. The gearbox intelligent gear shifting control method comprises the steps that a fuel consumption rate data atlas, a gearbox efficiency data atlas and a drive axle efficiency data atlas of a target vehicle under all gears are obtained; constructing a universal power chain oil consumption model based on the fuel consumption rate data atlas, the gearbox efficiency data atlas and the drive axle efficiency data atlas; the real-time gear, the real-time engine rotating speed and the real-time wheel side torque requirement of the target vehicle at the current moment are obtained, and a plurality of candidate gears are determined based on the real-time gear; and determining a plurality of fuel consumption amounts corresponding to the real-time engine rotating speed and the real-time hub torque demand under the plurality of candidate gears and the real-time gear based on a power chain fuel consumption universal model, and determining the gear corresponding to the minimum value in the plurality of fuel consumption amounts as the target gear of the next moment. The fuel economy of the vehicle is effectively improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicle gearbox control, and in particular to a gearbox intelligent gear shifting control method and device, a control apparatus and a storage medium. BACKGROUND

[0002] In the current commercial vehicle field, fuel cost is an important part of the vehicle's whole life cycle operating cost. With increasingly stringent environmental regulations and intensifying market competition, improving the fuel economy of vehicles has become a core technical challenge. Traditional automatic gearbox shifting strategies are mostly based on fixed shifting maps or only consider the engine working in the economic speed range, so there is room for further optimization.

[0003] The core idea of the existing scheme is to pre-label the economic working area of the engine under different speeds and torques based on the engine's universal characteristics. The control strategy controls the gearbox to shift up or down through the vehicle's real-time speed, throttle opening and other information, striving to keep the engine's operating point within the pre-set "economic speed range". The shifting decision is defined by a two-dimensional shifting map, which takes vehicle speed and throttle opening as input and directly outputs the target gear.

[0004] Although the existing technical solution improves fuel economy to some extent, it ignores the energy loss of other key components in the powertrain, lacks prediction and comparison of the fuel consumption that may be brought about by the selection of multiple future gears, and cannot accurately quantify the complex nonlinear relationship between the vehicle's driving force and fuel consumption under different gears. Therefore, there is still a lot of room for improvement in fuel economy in the existing technical solution. SUMMARY

[0005] Therefore, it is necessary to provide a gearbox intelligent gear shifting control method, device, control apparatus and storage medium to solve the problem of unsatisfactory fuel economy of the existing gearbox shifting control scheme.

[0006] To solve the above problems, in a first aspect, the present application provides a gearbox intelligent gear shifting control method, comprising: obtaining a fuel consumption rate data map, a gearbox efficiency data map and a drive axle efficiency data map of a target vehicle under each gear, the fuel consumption rate data map containing fuel consumption rate data under different engine speeds and wheel edge torques, the gearbox efficiency data map containing gearbox efficiency data under different engine speeds and wheel edge torques, and the drive axle efficiency data map containing drive axle efficiency data under different engine speeds and wheel edge torques; Based on the fuel consumption rate data map, the gearbox efficiency data map and the drive axle efficiency data map of the target vehicle under each gear, a powertrain oil consumption universal model is constructed, and the powertrain oil consumption universal model is used to determine the instantaneous fuel consumption of the vehicle; obtaining a real-time gear position, a real-time engine speed and a real-time wheel torque demand of the target vehicle at a current time, and determining a plurality of candidate gear positions based on the real-time gear position; determining a plurality of fuel consumptions corresponding to the real-time engine speed and the real-time wheel torque demand at the plurality of candidate gear positions and the real-time gear position based on a power train oil consumption universe model, and determining a gear position corresponding to a minimum value of the plurality of fuel consumptions as a target gear position at a next time.

[0007] In a possible implementation, the fuel consumption rate data atlas, the transmission efficiency data atlas and the drive axle efficiency data atlas of the target vehicle at each gear position are obtained based on bench tests at different engine speeds and wheel torques at each gear position.

[0008] In a possible implementation, the power train oil consumption universe model is constructed based on the fuel consumption rate data atlas, the transmission efficiency data atlas and the drive axle efficiency data atlas of the target vehicle at each gear position, and includes: fitting and interpolating based on the fuel consumption rate data atlas, the transmission efficiency data atlas and the drive axle efficiency data atlas of the target vehicle at each gear position to construct the power train oil consumption universe model.

[0009] In a possible implementation, the plurality of candidate gear positions are determined based on the real-time gear position, and include: determining a plurality of candidate gear positions based on the real-time gear position. determining a plurality of candidate gear positions based on the real-time gear position. , determining the plurality of candidate gear positions.

[0010] In a possible implementation, the plurality of candidate gear positions are within a physical gear position limit range of the transmission.

[0011] In a possible implementation, the method further includes: determining the target gear position at the next time based on the engine speed in a case where the real-time wheel torque demand is negative.

[0012] In a possible implementation, the target gear position at the next time is determined based on the real-time engine speed, and includes: determining the target gear position at the next time as the real-time gear position in a case where the real-time engine speed is greater than or equal to a first speed threshold and less than or equal to a second speed threshold; determining the target gear position at the next time as a first gear position in a case where the real-time engine speed is less than the first speed threshold, the first gear position being a gear position obtained after the real-time gear position is decreased by one gear. In a case that the real-time engine speed is greater than the second speed threshold, the target gear position at a next time is determined as the second gear position, and the second gear position is a gear position obtained by increasing the real-time gear position by one.

[0013] In another aspect, the present application also provides a gearbox intelligent gear shifting control device, comprising: The acquisition module is configured to acquire a fuel consumption rate data atlas, a gearbox efficiency data atlas and a drive axle efficiency data atlas of the target vehicle at each gear position, wherein the fuel consumption rate data atlas contains fuel consumption rate data at different engine speeds and wheel edge torques, the gearbox efficiency data atlas contains gearbox efficiency data at different engine speeds and wheel edge torques, and the drive axle efficiency data atlas contains drive axle efficiency data at different engine speeds and wheel edge torques. The construction module is configured to construct a power chain oil consumption universe model based on the fuel consumption rate data atlas, the gearbox efficiency data atlas and the drive axle efficiency data atlas of the target vehicle at each gear position, and the power chain oil consumption universe model is configured to determine an instantaneous fuel consumption of the vehicle. The first determination module is configured to acquire a real-time gear position, a real-time engine speed and a real-time wheel edge torque demand of the target vehicle at a current time, and determine a plurality of candidate gear positions based on the real-time gear position. The second determination module is configured to determine a plurality of fuel consumptions corresponding to the real-time engine speed and the real-time wheel edge torque demand at the plurality of candidate gear positions and the real-time gear position based on the power chain oil consumption universe model, and determine a gear position corresponding to a minimum value of the plurality of fuel consumptions as a target gear position at a next time.

[0014] In a second aspect, the present application also provides a control device, comprising a memory and a processor, wherein, The memory is configured to store a program. The processor is coupled with the memory and is configured to execute the program stored in the memory to implement steps in the gearbox intelligent gear shifting control method described in any of the implementation manners.

[0015] In a third aspect, the present application also provides a computer readable storage medium for storing computer readable programs or instructions, wherein the programs or instructions are executed by a processor to implement steps in the gearbox intelligent gear shifting control method described in any of the implementation manners.

[0016] The beneficial effects of the present application are: the gearbox intelligent gear shifting control method, device, control equipment and storage medium provided by the present application first provide a basis for improving vehicle fuel economy through the construction of a power chain oil consumption universal model, then determine multiple candidate gears while obtaining real-time vehicle operating parameters, so that the subsequent gear shifting strategy is forward-looking, and finally determine multiple fuel consumptions corresponding to the real-time engine speed and real-time wheel edge torque demand under multiple candidate gears and real-time gears through the power chain oil consumption universal model, determine the gear corresponding to the minimum value in the multiple fuel consumptions as the target gear at the next moment, compare the energy consumption performance of multiple future possible gears in real time, instead of passively responding to the current state, so that the gear shifting decision is more globally optimal, and the fuel economy of the vehicle is effectively improved. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 An embodiment flow diagram of the gearbox intelligent gear shifting control method provided by the present application is shown in the figure. Figure 2 An embodiment flow diagram of the gearbox intelligent gear shifting control process provided by the present application is shown in the figure. Figure 3 An embodiment structure diagram of the gearbox intelligent gear shifting control device provided by the present application is shown in the figure. Figure 4 An embodiment structure diagram of the control equipment provided by the present application is shown in the figure. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the 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.

[0019] In the description of the embodiments of the present application, unless otherwise specified, the meaning of "multiple" is two or more. The association relationship of the associated objects is described as "and / or", which means that there can be three relationships, for example: A and / or B, which means that there are three cases of A alone, A and B together, and B alone.

[0020] The "first", "second" and the like described in the embodiments of the present application are only for the purpose of description, and cannot be understood as indicating or implying the relative importance of the indicated technical features or implicitly indicating the number of the indicated technical features. Therefore, the technical features limited by "first" and "second" can explicitly or implicitly include at least one of the features.

[0021] Reference to“an embodiment” herein means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase“in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily all referring to a common or identical embodiment. It is explicitly contemplated that embodiments described herein can be combined with each other, even though some combinations are not explicitly mentioned.

[0022] The core idea of the existing gearbox shift control scheme is to pre-calibrate the economic working region of the engine under different speeds and torques based on the engine's universal characteristics. The control strategy controls the gearbox to upshift or downshift through the real-time vehicle speed, throttle opening and other information, so as to keep the engine running point in the preset“economic speed interval” as much as possible. The shift decision is defined by a two-dimensional shift map, which takes vehicle speed and throttle opening as input and directly outputs the target gear.

[0023] Although the above-mentioned prior art scheme improves fuel economy to some extent, it has the following inherent defects: 1. One-sided optimization goal: Such strategies mainly focus on optimizing the fuel consumption of the engine itself, while ignoring the energy loss of other key components in the powertrain (such as the gearbox and drive axle). In some working conditions, even if the engine is in the high-efficiency zone, if the gearbox or drive axle is running at a low-efficiency point due to gear or load reasons, the overall energy efficiency of the vehicle is not optimal.

[0024] 2. Lack of foresight and globality: The traditional shift map is a responsive control based on the current state, lacking prediction and comparison of the fuel consumption that multiple gear choices may bring in the future. It usually triggers a shift only when the current gear cannot maintain economic operation, and cannot make intelligent decisions such as“exchanging a short-term non-economic operation for a longer-term global economy”.

[0025] 3. Insufficient model accuracy: Simple economic speed zoning cannot accurately quantify the complex nonlinear relationship between vehicle driving force and fuel consumption under different gears, resulting in shift decisions that are not based on accurate energy consumption calculations.

[0026] To solve the above problems, the present application builds an energy consumption model of the complete powertrain including the engine, gearbox and drive axle, and combines the real-time running conditions of the vehicle to make forward-looking multi-gear fuel consumption prediction and comparison, thereby deciding the globally optimal shift timing and target gear, aiming to minimize fuel consumption under a given powertrain configuration and significantly improve the fuel economy of the vehicle.

[0027] The present application provides a gearbox intelligent shift control method, device, control equipment and storage medium, which are described below respectively.

[0028] Figure 1 An embodiment flowchart of the gearbox intelligent gear shifting control method provided by the present application is shown in the figure. Figure 1 As shown, the gearbox intelligent gear shifting control method comprises: S101, obtaining fuel consumption rate data atlas, gearbox efficiency data atlas and drive axle efficiency data atlas of the target vehicle in each gear, the fuel consumption rate data atlas containing fuel consumption rate data under different engine speeds and wheel edge torques, the gearbox efficiency data atlas containing gearbox efficiency data under different engine speeds and wheel edge torques, and the drive axle efficiency data atlas containing drive axle efficiency data under different engine speeds and wheel edge torques.

[0029] It should be noted that the gearbox intelligent gear shifting control method provided by the present application can be applied to the gearbox control scene of the vehicle, especially the gearbox gear shifting control scene of the vehicle.

[0030] When the intelligent gear shifting control of the gearbox is performed, the control device (such as an electronic control unit or a vehicle terminal) can first obtain the fuel consumption rate data atlas, the gearbox efficiency data atlas and the drive axle efficiency data atlas of the target vehicle in each gear. The fuel consumption rate data atlas contains fuel consumption rate data under different engine speeds and wheel edge torques, the gearbox efficiency data atlas contains gearbox efficiency data under different engine speeds and wheel edge torques, and the drive axle efficiency data atlas contains drive axle efficiency data under different engine speeds and wheel edge torques. These data can provide a data basis for the subsequent gearbox intelligent gear shifting control strategy.

[0031] S102, based on the fuel consumption rate data atlas, the gearbox efficiency data atlas and the drive axle efficiency data atlas of the target vehicle in each gear, a power chain oil consumption universe model is constructed, and the power chain oil consumption universe model is used to determine the instantaneous fuel consumption of the vehicle.

[0032] It should be noted that after obtaining the fuel consumption rate data atlas, the gearbox efficiency data atlas and the drive axle efficiency data atlas of the target vehicle in each gear, the power chain oil consumption universe model can be constructed through these data, and the power chain oil consumption universe model can reflect the instantaneous fuel consumption of the vehicle corresponding to different engine speeds and wheel edge torques in each gear, thereby providing a basis for improving the fuel economy of the vehicle.

[0033] S103, obtaining the real-time gear, real-time engine speed and real-time wheel edge torque demand of the target vehicle at the current moment, and determining a plurality of candidate gears based on the real-time gear.

[0034] It should be noted that before determining the target gear position of the gearbox at the next time, the real-time gear position, real-time engine speed and real-time wheel torque demand of the target vehicle at the current time can be obtained, and a plurality of candidate gear positions are determined according to the real-time gear position, so that the subsequent gear shifting strategy has foresight.

[0035] In S104, a plurality of fuel consumptions corresponding to the real-time engine speed and the real-time wheel torque demand under the plurality of candidate gear positions and the real-time gear position are determined based on the power chain oil consumption universe model, and a gear position corresponding to a minimum value of the plurality of fuel consumptions is determined as the target gear position at the next time.

[0036] It should be noted that after the real-time gear position is obtained and the plurality of candidate gear positions are determined, a plurality of fuel consumptions corresponding to the real-time engine speed and the real-time wheel torque demand under the plurality of candidate gear positions and the real-time gear position can be determined according to the power chain oil consumption universe model, and then a gear position corresponding to a minimum value of the plurality of fuel consumptions is determined as the target gear position at the next time. By comparing the energy consumption performance of a plurality of future possible gear positions in real time, instead of passively responding to the current state, the gear shifting decision is more globally optimal, and the fuel economy of the vehicle is effectively improved.

[0037] In summary, the gearbox intelligent gear shifting control method provided by the embodiment of the present application first provides a basis for improving the fuel economy of the vehicle through the construction of the power chain oil consumption universe model, then determines a plurality of candidate gear positions while obtaining the real-time running parameters of the vehicle, so that the subsequent gear shifting strategy has foresight, and finally determines a plurality of fuel consumptions corresponding to the real-time engine speed and the real-time wheel torque demand under the plurality of candidate gear positions and the real-time gear position through the power chain oil consumption universe model, and determines a gear position corresponding to a minimum value of the plurality of fuel consumptions as the target gear position at the next time. By comparing the energy consumption performance of a plurality of future possible gear positions in real time, instead of passively responding to the current state, the gear shifting decision is more globally optimal, and the fuel economy of the vehicle is effectively improved.

[0038] In some embodiments of the present application, the fuel consumption rate data atlas, the gearbox efficiency data atlas and the drive axle efficiency data atlas of the target vehicle at each gear position can be obtained based on bench tests at different engine speeds and wheel torques at each gear position.

[0039] In some embodiments of the present application, the power chain oil consumption universe model is constructed based on the fuel consumption rate data atlas, the gearbox efficiency data atlas and the drive axle efficiency data atlas of the target vehicle at each gear position, comprising: The power chain oil consumption universe model is constructed by fitting and interpolating the fuel consumption rate data atlas, the gearbox efficiency data atlas and the drive axle efficiency data atlas of the target vehicle at each gear position.

[0040] It should be noted that: in the process of constructing the power chain oil consumption universe model according to the fuel consumption rate data atlas of the target vehicle in each gear, the gearbox efficiency data atlas and the drive axle efficiency data atlas, fitting and interpolation (for example, least square fitting and nearest neighbor difference) can be performed according to the fuel consumption rate data atlas of the target vehicle in each gear, the gearbox efficiency data atlas and the drive axle efficiency data atlas, and then the power chain oil consumption universe model is constructed, thereby providing a basis for the subsequent shift control process.

[0041] In some embodiments of the application, the determination of the plurality of candidate gears based on the real-time gear can include: determining the plurality of candidate gears based on the real-time gear determining the plurality of candidate gears based on the real-time gear , determining the plurality of candidate gears based on the real-time gear

[0042] In some embodiments of the application, the plurality of candidate gears are within the physical gear limit range of the gearbox.

[0043] It should be noted that: when determining the plurality of candidate gears, it is necessary to ensure that the candidate gears are within the physical gear limit range of the gearbox, for example, the real-time gear determining the plurality of candidate gears based on the real-time gear , If it is out of the physical gear limit range of the gearbox, it can be eliminated from the candidate gears.

[0044] In some embodiments of the application, the method further includes: In the case that the real-time wheel edge torque demand is negative, determining the target gear at the next time based on the engine speed.

[0045] It should be noted that: when the real-time wheel edge torque demand is negative, it indicates that the vehicle is in a coasting or braking state, and the engine is reversely driven, in order to avoid unnecessary gear shifting and ensure braking effect, the target gear at the next time can be determined by the engine speed.

[0046] In some embodiments of the application, the determination of the target gear at the next time based on the real-time engine speed includes: In the case that the real-time engine speed is greater than or equal to a first speed threshold and less than or equal to a second speed threshold, the target gear at the next time is determined as the real-time gear; In the case that the real-time engine speed is less than the first speed threshold, the target gear at the next time is determined as the first gear, and the first gear is obtained after the real-time gear is lowered by one gear; In the case that the real-time engine speed is greater than the second speed threshold, the target gear at the next time is determined as the second gear, and the second gear is obtained after the real-time gear is raised by one gear.

[0047] It should be noted that: in determining the target gear position at the next time according to the real-time engine speed, if the real-time engine speed is within the economic cruising speed lower limit to the economic cruising speed upper limit, the current gear position can be maintained unchanged; if the real-time engine speed exceeds the economic cruising speed upper limit, the upshift can be performed at the next time; if the real-time engine speed is lower than the economic cruising speed lower limit, the downshift can be performed at the next time, so as to avoid unnecessary gear shifting and ensure the braking effect.

[0048] The present application can make forward-looking multi-gear fuel consumption prediction and comparison by constructing the complete power chain energy consumption model including engine, gearbox and drive axle, and combining with the real-time running condition of the vehicle, so as to decide the globally optimal gear shifting timing and target gear position.

[0049] In combination Figure 2 , the specific intelligent gear shifting control process includes the following steps: 1. Power chain energy consumption modeling.

[0050] Through bench test, the efficiency models of the following key components are respectively measured and established: Engine universal characteristic model: obtain the fuel consumption rate (g / kWh) data atlas under different speeds and torques.

[0051] Gearbox efficiency model: obtain the transmission efficiency data atlas of each gear under different input speeds and input torques.

[0052] Drive axle efficiency model: obtain the drive axle efficiency data atlas under different input speeds and input torques.

[0053] The above component models are coupled, and a unified "power chain fuel consumption universal model" is generated through fitting and interpolation calculation. The model can represent the instantaneous fuel consumption of the whole vehicle under any gear position, according to the wheel edge torque demand and engine speed of the vehicle. The calculation relationship can be simplified as: Whole vehicle power chain fuel consumption=f(engine universal characteristic, gearbox efficiency, drive axle efficiency).

[0054] 2. Real-time gear shifting optimization decision.

[0055] The controller collects the vehicle state parameters in real time, mainly including: current engine speed, current gear position n, and wheel edge torque demand.

[0056] Based on the current wheel edge torque demand and vehicle speed, the controller calculates the whole vehicle power chain fuel consumption of the current gear position n through the power chain fuel consumption universal model, and simultaneously prospectively calculates the expected whole vehicle power chain fuel consumption after gear shifting of a group of candidate gear positions (for example, n-2, n-1, n+1, n+2).

[0057] The results of the calculation for all candidate gears are compared, and the gear with the minimum fuel consumption is selected as the target gear at the next moment.

[0058] 3. Constraint and special condition handling.

[0059] Gear constraint: the selection range of candidate gears must be within the physical gear limit of the gearbox (e.g. 1st to the highest gear).

[0060] Speed constraint: the expected engine speed after gear shifting must be within a reasonable range, i.e. higher than the engine idle speed and lower than the maximum allowable speed, to ensure vehicle smoothness and engine safety.

[0061] Engine motoring condition handling: when the wheel torque is detected to be negative (i.e. the vehicle is in coasting or braking state, and the engine is being dragged in reverse), to avoid unnecessary gear shifting and ensure braking effect, the strategy will temporarily maintain the current gear unchanged. Only when the engine speed exceeds the preset economic coasting speed upper limit n1, the gear is shifted up, and when it is lower than the economic coasting speed lower limit n2, the gear is shifted down.

[0062] An application example of the present application in a specific scenario is given below: Application object: a heavy commercial vehicle equipped with a 12-gear automatic gearbox.

[0063] 1. Data acquisition and modeling.

[0064] 1) Bench tests are conducted on the engine, gearbox and drive axle of the vehicle respectively, and the fuel consumption rate and transmission efficiency data under different speed and torque conditions are collected.

[0065] 2) Using engineering software such as Matlab, the discrete data points collected are interpolated and surface fitted to generate a three-dimensional universal characteristic map.

[0066] 3) In the Simulink environment, the three models are coupled to build a complete "power chain fuel consumption universal model", which is compiled into code that can run on the vehicle terminal.

[0067] 2. Control strategy deployment.

[0068] 1) Real-time gear shifting optimization decision logic is programmed and integrated into the vehicle simulation model.

[0069] 2) Set the candidate gear set to the current gear and , . Set the engine speed constraint range to 600 rpm to 2200 rpm.

[0070] 3) Set the economic coasting speed range in the engine motoring condition as [900rpm, 1600rpm].

[0071] 3) Simulation verification and results.

[0072] 1) Establish a whole vehicle simulation model, and collect road profile data of a typical long-distance transportation scene through an actual vehicle.

[0073] 2) Respectively use the original benchmark shift strategy of the vehicle and the intelligent shift strategy proposed in the application for simulation testing.

[0074] 3) The results show that compared with the benchmark shift strategy, the intelligent shift strategy of the application reduces the 100km fuel consumption by 0.5L / 100km in the long-distance transportation scene, and the fuel saving effect is significant.

[0075] The application can effectively reduce the fuel consumption of the whole vehicle in actual road driving by ensuring that the entire power transmission system always operates in the region with the highest comprehensive efficiency, and can achieve significant fuel saving effect in typical long-distance scenarios.

[0076] The model-based control strategy of the application is more sensitive and intelligent in responding to changes in different loads and road conditions, and can dynamically adjust to adapt to various driving conditions and maintain optimal economy at all times.

[0077] The forward-looking decision logic of the application can reduce frequent and ineffective "gear shaking" near the critical point, making the shift process smoother and more reasonable.

[0078] In order to better implement the gearbox intelligent shift control method in the embodiments of the application, on the basis of the gearbox intelligent shift control method, as shown in Figure 3 The gearbox intelligent shift control device 300 comprises: An acquisition module 301 is configured to acquire fuel consumption rate data graphs, gearbox efficiency data graphs and drive axle efficiency data graphs of a target vehicle at each gear, wherein the fuel consumption rate data graphs contain fuel consumption rate data at different engine speeds and wheel edge torques, the gearbox efficiency data graphs contain gearbox efficiency data at different engine speeds and wheel edge torques, and the drive axle efficiency data graphs contain drive axle efficiency data at different engine speeds and wheel edge torques. A construction module 302 is configured to construct a power chain oil consumption universe model based on the fuel consumption rate data graphs, the gearbox efficiency data graphs and the drive axle efficiency data graphs of the target vehicle at each gear, and the power chain oil consumption universe model is used to determine the instantaneous fuel consumption of the vehicle. The first determining module 303 is used to obtain the real-time gear position, real-time engine speed and real-time wheel torque demand of the target vehicle at the current moment, and determine multiple candidate gear positions based on the real-time gear position; The second determining module 304 is used to determine multiple fuel consumption values ​​corresponding to real-time engine speed and real-time wheel torque requirements under multiple candidate gears and real-time gears based on the universal powertrain fuel consumption model, and to determine the gear corresponding to the minimum value among the multiple fuel consumption values ​​as the target gear for the next moment.

[0079] The intelligent gear shift control device 300 provided in the above embodiments can realize the technical solutions described in the embodiments of the intelligent gear shift control method of the above-mentioned gearbox. The specific implementation principles of each module or unit can be found in the corresponding content in the embodiments of the intelligent gear shift control method of the above-mentioned gearbox, and will not be repeated here.

[0080] like Figure 4 As shown, the present invention also provides a control device 400. The control device 400 includes a processor 401, a memory 402, and a display 403. Figure 4 Only some components of the control device 400 are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0081] In some embodiments, processor 401 may be a central processing unit (CPU), microprocessor, or other data processing chip, used to run program code stored in memory 402 or process data, such as the intelligent gear shift control method of the transmission in this invention.

[0082] In some embodiments, processor 401 may be a single server or a group of servers. The server group may be centralized or distributed. In some embodiments, processor 401 may be local or remote. In some embodiments, processor 401 may be implemented on a cloud platform. In one embodiment, the cloud platform may include a private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, internal cloud, multi-cloud, etc., or any combination thereof.

[0083] In some embodiments, memory 402 may be an internal storage unit of control device 400, such as a hard disk or memory of control device 400. In other embodiments, memory 402 may also be an external storage device of control device 400, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., provided on control device 400.

[0084] Further, the memory 402 can include both an internal storage unit of the control device 400 and an external storage device. The memory 402 is used to store application software installed in the control device 400 and various types of data.

[0085] The display 403 can be an LED display, a liquid crystal display, a touch liquid crystal display, an Organic Light-Emitting Diode (OLED) touch, etc. in some embodiments. The display 403 is used to display information in the control device 400 and to display a visualized user interface. The components 401-403 of the control device 400 communicate with each other through a system bus.

[0086] In an embodiment, when the processor 401 executes the gearbox intelligent shift control program in the memory 402, the following steps can be implemented: Obtaining a fuel consumption rate data atlas, a gearbox efficiency data atlas and a drive axle efficiency data atlas of the target vehicle in each gear, the fuel consumption rate data atlas containing fuel consumption rate data at different engine speeds and wheel edge torques, the gearbox efficiency data atlas containing gearbox efficiency data at different engine speeds and wheel edge torques, and the drive axle efficiency data atlas containing drive axle efficiency data at different engine speeds and wheel edge torques; Based on the fuel consumption rate data atlas, the gearbox efficiency data atlas and the drive axle efficiency data atlas of the target vehicle in each gear, a power chain oil consumption universe model is constructed, which is used to determine the instantaneous fuel consumption of the vehicle; Obtaining the real-time gear, the real-time engine speed and the real-time wheel edge torque demand of the target vehicle at the current time, and determining a plurality of candidate gears based on the real-time gear; Based on the power chain oil consumption universe model, a plurality of fuel consumptions corresponding to the real-time engine speed and the real-time wheel edge torque demand are determined in the plurality of candidate gears and the real-time gear, and the gear corresponding to the minimum value of the plurality of fuel consumptions is determined as the target gear at the next time.

[0087] It should be understood that, in addition to the above functions, the processor 401 can also implement other functions when executing the gearbox intelligent shift control program in the memory 402. For details, please refer to the description of the corresponding method embodiments.

[0088] Further, the embodiments of the present application do not make specific limitation on the type of the control device 400 mentioned above, and the control device 400 can be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, etc. Exemplary embodiments of the portable electronic device include, but are not limited to, a portable electronic device running an IOS, an android, a microsoft or other operating system. The portable electronic device mentioned above can also be other portable electronic devices such as a laptop computer having a touch-sensitive surface (e.g., a touch panel), etc. It should also be understood that in some other embodiments of the present application, the control device 400 can also not be a portable electronic device, but a desktop computer having a touch-sensitive surface (e.g., a touch panel).

[0089] Correspondingly, the embodiments of the present application also provide a computer readable storage medium for storing computer readable programs or instructions, which, when executed by a processor, can implement the steps or functions in the gearbox intelligent gear shifting control method provided by the above-mentioned method embodiments.

[0090] Those skilled in the art can understand that all or part of the processes of the above-mentioned embodiments can be completed by a computer program instructing relevant hardware (such as a processor, a controller, etc.) to complete, and the computer program can be stored in a computer readable storage medium. The computer readable storage medium is a magnetic disk, an optical disk, a read-only memory or a random access memory, etc.

[0091] The gearbox intelligent gear shifting control method, device, control device and storage medium provided by the present application are described in detail above, and the principles and implementation manners of the present application are described by applying specific examples in this paper. The above description of the embodiments is only used to help understand the method of the present application and its core idea; meanwhile, for those skilled in the art, according to the idea of the present application, the specific implementation manner and application range will be changed, and the above description should not be understood as a limitation on the present application.

Claims

1. A method for intelligent gear shifting control of a transmission, characterized in that, include: Acquire fuel consumption rate data maps, transmission efficiency data maps, and drive axle efficiency data maps of the target vehicle at various gears. The fuel consumption rate data map contains fuel consumption rate data at different engine speeds and wheel-side torques. The transmission efficiency data map contains transmission efficiency data at different engine speeds and wheel-side torques. The drive axle efficiency data map contains drive axle efficiency data at different engine speeds and wheel-side torques. Based on the fuel consumption rate data map, transmission efficiency data map, and drive axle efficiency data map of the target vehicle in each gear, a universal powertrain fuel consumption model is constructed. The universal powertrain fuel consumption model is used to determine the instantaneous fuel consumption of the vehicle. Obtain the target vehicle's real-time gear position, real-time engine speed, and real-time wheel torque demand at the current moment, and determine multiple candidate gears based on the real-time gear position; Based on the universal model of powertrain fuel consumption, multiple fuel consumption values ​​corresponding to real-time engine speed and real-time wheel torque requirements are determined under multiple candidate gears and real-time gears. The gear corresponding to the minimum value among multiple fuel consumption values ​​is determined as the target gear for the next moment.

2. The intelligent gear shifting control method for a transmission according to claim 1, characterized in that, The fuel consumption rate data, transmission efficiency data, and drive axle efficiency data of the target vehicle in each gear were obtained based on bench tests conducted at different engine speeds and wheel-side torques in each gear.

3. The intelligent gearbox shifting control method according to claim 1, characterized in that, The universal powertrain fuel consumption model is constructed based on fuel consumption rate data maps, transmission efficiency data maps, and drive axle efficiency data maps of the target vehicle at various gears, including: A universal powertrain fuel consumption model is constructed by fitting and interpolating data maps of the target vehicle's fuel consumption rate, transmission efficiency, and drive axle efficiency at various gears.

4. The intelligent gear shifting control method for a transmission according to claim 1, characterized in that, The process of determining multiple candidate gears based on real-time gear position includes: Based on real-time gear shift gears , It has been identified as a candidate gear.

5. The intelligent gearbox shifting control method according to claim 4, characterized in that, The multiple candidate gears are within the physical gear limit range of the transmission.

6. The intelligent gearbox shifting control method according to claim 1, characterized in that, The method further includes: When the real-time wheel torque demand is negative, the target gear for the next moment is determined based on the engine speed.

7. The intelligent gearbox shifting control method according to claim 6, characterized in that, The method of determining the target gear for the next moment based on real-time engine speed includes: If the real-time engine speed is greater than or equal to the first speed threshold and less than or equal to the second speed threshold, the target gear for the next moment is determined as the real-time gear. If the real-time engine speed is less than the first speed threshold, the target gear for the next moment is determined to be the first gear, which is the gear obtained by downshifting one gear from the real-time gear. If the real-time engine speed is greater than the second speed threshold, the target gear for the next moment is determined to be the second gear, which is the gear obtained by shifting up one gear from the real-time gear.

8. A smart gearbox shift control device, characterized in that, include: The acquisition module is used to acquire fuel consumption rate data maps, transmission efficiency data maps, and drive axle efficiency data maps of the target vehicle at various gears. The fuel consumption rate data map contains fuel consumption rate data at different engine speeds and wheel-side torques, the transmission efficiency data map contains transmission efficiency data at different engine speeds and wheel-side torques, and the drive axle efficiency data map contains drive axle efficiency data at different engine speeds and wheel-side torques. The module is used to build a universal powertrain fuel consumption model based on the target vehicle's fuel consumption rate data map, transmission efficiency data map, and drive axle efficiency data map at each gear. The universal powertrain fuel consumption model is used to determine the vehicle's instantaneous fuel consumption. The first determining module is used to obtain the real-time gear position, real-time engine speed and real-time wheel torque demand of the target vehicle at the current moment, and determine multiple candidate gear positions based on the real-time gear position; The second determining module is used to determine multiple fuel consumption values ​​corresponding to real-time engine speed and real-time wheel torque requirements under multiple candidate gears and real-time gears based on the universal powertrain fuel consumption model, and to determine the gear corresponding to the minimum value among the multiple fuel consumption values ​​as the target gear for the next moment.

9. A control device, characterized in that, Including memory and processor, among which, The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps in the intelligent gearbox shift control method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps of the intelligent gearbox shifting control method according to any one of claims 1 to 7.

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