AMT gear shifting strategy optimization method, system and device and storage medium

Abstract

The invention provides an AMT gear shifting strategy optimization method, system and device and a storage medium. The method comprises the steps that actual working condition data are collected; smoothing the actual industrial control data to obtain road spectrum data, and obtaining an economical efficiency simulation result of the vehicle through simulation based on the road spectrum data and the basic parameters of the vehicle; an AMT gear shifting strategy is generated according to the actual working condition data, the AMT gear shifting strategy is input into the simulation model, a simulation result is compared with an economical simulation result, and an economical AMT gear shifting strategy is screened out; the economical AMT gear shifting strategy is optimized, and the optimal AMT gear shifting strategy is generated; constructing a gear shifting strategy database based on the working condition characteristic value and the optimal AMT gear shifting strategy; and working condition characteristic values are collected in real time, and a corresponding optimal AMT gear shifting strategy is called in a gear shifting strategy database. The diversification of gear shifting control strategies is effectively improved, and the economical efficiency of the vehicle is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of commercial vehicle economic simulation calculation, and more specifically to an AMT shift strategy optimization method, system, device and storage medium. Background Art

[0002] With the development of the automobile industry and the continuous progress of automobile electronics and automatic control technology, automobile automatic transmissions have been widely used as an important device to improve driving comfort and reduce driver labor intensity. Among them, the electronically controlled mechanical automatic transmission (AMT) as an improvement on the manual transmission has attracted widespread attention and promotion for its simple structure, high transmission efficiency and low cost.

[0003] However, despite the fact that AMT technology has been applied and developed for many years, it still faces many challenges in terms of gear shift control, especially in adapting to complex and changing working conditions. AMT's gear shift control relies on the transmission control unit (TCU) to automatically adjust the gear according to parameters such as vehicle speed and throttle input. However, in actual driving, the driver will make a comprehensive judgment based on multiple factors such as road conditions, vehicle load, and road slope, and perform gear shift operations at the right time to ensure that the vehicle's power and economy are optimized. However, due to the limitations of the TCU control unit in identifying actual road conditions, the pre-set gear shift control strategy is often difficult to fully match the current working conditions, thus affecting the vehicle's power output and economy performance. Specifically, the shift strategies matched by AMT in the current market are mostly single or limited fixed modes, which can usually only adapt to certain common driving conditions. However, when faced with complex and changeable actual road conditions, such as steep slopes in mountainous areas, urban congestion, and highway cruising, these fixed shift strategies are unable to accurately and timely adjust the gear position to meet the power requirements of the vehicle under different working conditions, resulting in a decline in power performance and economy.

[0004] In addition, the calibration process of existing shift strategies is also relatively complicated and cumbersome. Traditional calibration methods often rely on fine-tuning the original shift lines to meet the needs of a certain vehicle model under specific working conditions. However, this method is not only time-consuming and labor-intensive, but also difficult to ensure the comprehensiveness and accuracy of the shift strategy. More importantly, due to differences in different vehicle models, different driving habits and different road conditions, a single or limited shift strategy cannot be universally applied and is difficult to meet the needs of a large number of users. Summary of the invention

[0005] In view of the above problems, the purpose of the present invention is to provide an AMT shift strategy optimization method, system, device and storage medium. By establishing the optimal shift strategy for different working conditions and storing it in a shift strategy database, the diversity of shift control strategies is effectively improved and the economy of the vehicle is significantly improved.

[0006] In order to achieve the above object, the present invention is implemented through the following technical solutions: In a first aspect, the present invention discloses an AMT shift strategy optimization method, comprising: Collect vehicle operating data, filter the operating data, and generate actual operating data; Smooth the actual industrial control data to obtain the road spectrum data, input the road spectrum data and basic vehicle parameters into the cruise simulation model for simulation, and obtain the vehicle's economic simulation results; The GSP Generation module is used to generate an AMT shift strategy based on actual operating condition data, and the AMT shift strategy is input into the cruise simulation model for simulation. The simulation results are compared with the economic simulation results to select the economical AMT shift strategy. Using the GSP Optimization module, based on the operating parameters corresponding to the actual operating data of the economical AMT shift strategy, the most economical gear under the operating condition is calculated, the economical AMT shift strategy is optimized, and the optimal AMT shift strategy is generated; Extracting operating condition characteristic values ​​based on actual operating condition data, and building a shift strategy database based on the operating condition characteristic values ​​and the corresponding optimal AMT shift strategy; During actual driving, the current operating condition characteristic values ​​are collected in real time, and the corresponding optimal AMT shift strategy is called in the shift strategy database based on the current operating condition characteristic values.

[0007] Furthermore, the collecting of the vehicle's operating condition data, filtering the operating condition data, and generating actual operating condition data includes: Collect the vehicle's altitude, time, speed, gear information, slope and acceleration as vehicle operating condition data; Use the filtering algorithm built by Matlab to remove abnormal data points in the vehicle operating condition data and generate actual operating condition data; Based on the actual working condition data, two columns of data, time and speed, are selected to generate road condition data with time as the horizontal axis and speed as the vertical axis.

[0008] Furthermore, the actual industrial control data is smoothed to obtain road spectrum data, and the road spectrum data and basic vehicle parameters are input into the cruise simulation model for simulation to obtain the economic simulation results of the vehicle, including: Based on the actual working condition data, the slope is corrected by filtering the actual working condition, and the vehicle speed is corrected by filtering the acceleration; Generate road spectrum data based on the corrected actual working condition data; the road spectrum data includes vehicle speed, slope, time and gear information; The road spectrum data, vehicle parameters, engine parameters, and transmission parameters are imported into the cruise simulation model for simulation to obtain the economic simulation results of the vehicle under the road spectrum data.

[0009] Furthermore, the GSP Generation module is used to generate an AMT shift strategy according to actual operating condition data, the AMT shift strategy is input into the cruise simulation model for simulation, and the economical AMT shift strategy is screened out by comparing the simulation result with the economic simulation result, including: Use the preset vehicle state recognition algorithm to analyze the actual working condition data and determine the vehicle's working condition environment; Use the GSP Generation module to generate a GSP Map based on the operating condition analysis results and actual operating condition data; Import the GSP Map into the cruise simulation model for simulation, generate simulation results and compare them with the economic simulation results; When making a comparison, the economic performance of the GSP Map under different operating conditions is evaluated based on average fuel consumption and fuel efficiency to determine the GSP Map with the best economy under each operating condition, and the GSP Map with the best economy under each operating condition is used as the economical AMT shifting strategy.

[0010] Further, the GSP Optimization module is used to calculate the most economical gear under the working condition based on the working condition parameters corresponding to the actual working condition data of the economical AMT shift strategy, optimize the economical AMT shift strategy, and generate the optimal AMT shift strategy, including: Determine corresponding operating condition parameters based on actual operating condition data of the economical AMT shift strategy; the operating condition parameters include tire rolling radius, engine speed, vehicle rear axle speed ratio, fuel consumption rate and power; Using the GSP Optimization module, the gear with the best economy is determined based on the operating parameters using the following formula: Ua=0.377×r×n / ig / i0; be=1000B / Pe; Among them, Ua is the vehicle speed, r is the tire rolling radius, n is the engine speed, ig is the current gear ratio of the gearbox, i0 is the rear axle speed ratio of the vehicle, be is the fuel consumption, B is the fuel consumption rate, and Pe is the power; According to the most economical gear, the economical AMT shifting strategy is optimized to generate the optimal AMT shifting strategy. Further, the extracting of operating condition characteristic values ​​based on actual operating condition data and constructing a shift strategy database based on the operating condition characteristic values ​​and corresponding optimal AMT shift strategies include: Based on the actual working condition data, the vehicle speed, accelerator pedal opening, acceleration and slope are extracted as working condition characteristic values; The operating condition characteristic values ​​are associated with the optimal AMT shift strategy and stored in the shift strategy database. In a second aspect, the present invention further discloses an AMT shift strategy optimization system, comprising: The data acquisition module is used to collect the vehicle's operating data, filter the operating data, and generate actual operating data; The road spectrum construction module is used to smooth the actual industrial control data to obtain the road spectrum data; The simulation module is used to input the road spectrum data and basic vehicle parameters into the cruise simulation model for simulation to obtain the vehicle's economic simulation results; The strategy generation and screening module is used to generate the AMT shift strategy based on the actual working condition data using the GSP Generation module, input the AMT shift strategy into the cruise simulation model for simulation, and screen out the economical AMT shift strategy by comparing the simulation results with the economic simulation results; An optimal shift strategy generation module is used to calculate the most economical gear under the working condition based on the working condition parameters corresponding to the actual working condition data of the economical AMT shift strategy by using the GSP Optimization module, optimize the economical AMT shift strategy, and generate the optimal AMT shift strategy; A database construction module, used for extracting operating condition characteristic values ​​based on actual operating condition data, and constructing a shift strategy database based on the operating condition characteristic values ​​and corresponding optimal AMT shift strategies; The strategy calling module is used to collect the current operating condition characteristic values ​​in real time during actual driving, and call the corresponding optimal AMT shift strategy in the shift strategy database based on the current operating condition characteristic values.

[0011] Further, the shift strategy database includes a storage module and a calling module; A storage module, used to store different optimal AMT shift strategies and corresponding operating condition characteristic values; The calling module is used to call the corresponding optimal AMT shifting strategy according to the operating condition characteristic value.

[0012] In a third aspect, the present invention further discloses an AMT shift strategy optimization device, comprising: A memory for storing an AMT shift strategy optimization program; A processor is used to implement the steps of the AMT shift strategy optimization method as described in any one of the above items when executing the AMT shift strategy optimization program.

[0013] In a fourth aspect, the present invention further discloses a readable storage medium, on which an AMT shift strategy optimization program is stored. When the AMT shift strategy optimization program is executed by a processor, the steps of the AMT shift strategy optimization method as described in any one of the above items are implemented.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention discloses an AMT shift strategy optimization method, system, device and storage medium, and calculates the optimal gear based on a given working condition through the GSP Optimization module in cruise to generate an optimal AMT shift strategy; and inputs different working conditions and their corresponding shift strategies into a database to establish a shift strategy database, and calls the corresponding shift strategies in the shift strategy database by identifying the characteristic values ​​of different working conditions encountered during actual driving, thereby effectively improving the diversification of shift control strategies, optimizing the power performance of the whole vehicle, improving the economic benefits, and being able to greatly shorten the AMT calibration time of the whole vehicle.

[0015] It can be seen that compared with the prior art, the present invention has outstanding substantive features and significant progress, and the beneficial effects of its implementation are also obvious. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0017] Figure 1 It is a method flow chart of a specific implementation mode of the present invention.

[0018] Figure 2 It is a system structure diagram of a specific implementation mode of the present invention.

[0019] Figure 3 It is a schematic diagram of the structure of the shift strategy database of a specific implementation mode of the present invention.

[0020] In the figure, 1. Data acquisition module; 2. Road map construction module; 3. Simulation module; 4. Strategy generation and screening module; 5. Optimal shift strategy generation module; 6. Database construction module; 7. Database construction module; 61. Storage module; 62. Calling module. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the scheme of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0022] See also Figure 1 As shown, this embodiment provides an AMT shift strategy optimization method, comprising the following steps: S1: Collect vehicle operating data, filter the operating data, and generate actual operating data.

[0023] In a specific implementation, the vehicle's altitude, time, speed, gear information, slope and acceleration are first collected as vehicle operating condition data; then, the filtering algorithm constructed by Matlab is used to remove abnormal data points in the vehicle operating condition data to generate actual operating condition data; finally, based on the actual operating condition data, two columns of time and speed data are selected to generate road condition data with time as the horizontal axis and speed as the vertical axis.

[0024] When extracting data, the original data is displayed in three dimensions: absolute time, speed and altitude. In cruise, time dependent is used, and two columns of data, absolute time and speed, are selected to obtain road condition data with absolute time as the horizontal axis and speed as the vertical axis.

[0025] As an example, when collecting vehicle operating condition data, the method may be implemented using various sensors and processors preset on the vehicle.

[0026] Specifically, the specific working conditions can be determined through various vehicle sensors and ECU signals such as vehicle speed, gear position, acceleration, slope, etc., so as to call the corresponding shift strategy from the database. The ADAS camera, radar sensor, automatic transmission control unit, and accelerator pedal can be connected to the central control screen through the gateway to obtain signals such as vehicle speed, acceleration, slope, etc. to determine the road conditions.

[0027] The central control screen includes a CAN controller, a control unit, a system chip, a wireless module and a GPS module. The gateway is connected to the microcontroller via the CAN controller, the microcontroller is connected to the system chip, and the system chip is connected to the wireless module and the GPS module respectively. The ADAS camera is set in front of the vehicle, and the radar sensor is set at the edge of the vehicle chassis.

[0028] S2: Smooth the actual industrial control data to obtain the road spectrum data, input the road spectrum data and the basic parameters of the vehicle into the cruise simulation model for simulation, and obtain the economic simulation results of the vehicle.

[0029] In a specific implementation, firstly, based on the actual working condition data, the slope is corrected by combining the actual working condition with a filtering algorithm, and the vehicle speed is corrected by filtering the acceleration; then, based on the corrected actual working condition data, the road spectrum data is generated; the road spectrum data includes vehicle speed, slope, time and gear information; finally, the road spectrum data, vehicle parameters, engine parameters, and gearbox parameters are imported into the cruise simulation model for simulation to obtain the economic simulation result of the vehicle under the road spectrum data.

[0030] As an example, the basic parameters of the vehicle, engine, gearbox, rear axle, tires and the current vehicle shifting strategy are imported into the cruise simulation model, and a simulation is performed based on the road spectrum obtained from the collected data to obtain preliminary simulation results as the economic simulation results.

[0031] S3: Use the GSP Generation module to generate an AMT shift strategy based on actual operating condition data, input the AMT shift strategy into the cruise simulation model for simulation, and screen out the economical AMT shift strategy by comparing the simulation results with the economic simulation results.

[0032] In a specific implementation, the actual working condition data is first analyzed using a preset vehicle state recognition algorithm to determine the vehicle's working environment; then the GSP Generation module is used to generate a GSP Map based on the working condition analysis results and the actual working condition data. At this point, the GSP Map is imported into the cruise simulation model for simulation, and the simulation results are generated and compared with the economic simulation results. When comparing, the economic performance of the GSP Map under different working conditions is evaluated based on average fuel consumption and fuel efficiency to determine the most economical GSP Map under each working condition, and the most economical GSP Map under each working condition is used as the economical AMT shifting strategy.

[0033] As an example, a GSP Map is generated through the GSP Generation module for vehicle operating data. GSP Map is a way of expressing the shifting strategy, which includes information such as the gear line, vehicle speed, and acceleration. GSP Map takes into account multiple driving modes and road slope optimization, builds a vehicle simulation model in the cruise software, imports the GSP Map into the model for simulation calculation, and compares the fuel consumption difference with the preliminary economic simulation results. The GSP Map data with the best economy is selected, and the GSP Map data is the most economical AMT shifting strategy under this operating condition.

[0034] S4: Using the GSP Optimization module, based on the operating condition parameters corresponding to the actual operating condition data of the economical AMT shift strategy, the gear with the best economy under the operating condition is calculated, the economical AMT shift strategy is optimized, and the optimal AMT shift strategy is generated.

[0035] In a specific implementation, firstly, the corresponding operating condition parameters are determined based on the actual operating condition data of the economical AMT shift strategy, and the operating condition parameters include tire rolling radius, engine speed, vehicle rear axle speed ratio, fuel consumption rate and power.

[0036] At this time, the GSP Optimization module is used to determine the gear with the best economy based on the operating parameters using the following formula: Ua=0.377×r×n / ig / i0; be=1000B / Pe; Among them, Ua is the vehicle speed, r is the tire rolling radius, n is the engine speed, ig is the current gear ratio of the transmission, i0 is the rear axle speed ratio of the vehicle, be is the fuel consumption, B is the fuel consumption rate, and Pe is the power.

[0037] Finally, according to the most economical gear, the economical AMT shift strategy is optimized to generate the optimal AMT shift strategy.

[0038] Through this step, the GSP Optimization module uses two formulas to calculate the most economical gear under the given working conditions, the vehicle speed and slope under the given working conditions, and minimizes fuel consumption while meeting emission requirements. It optimizes the balance between fuel consumption and emissions and generates the optimal AMT shifting strategy.

[0039] S5: extracting operating condition characteristic values ​​based on actual operating condition data, and constructing a shift strategy database based on the operating condition characteristic values ​​and corresponding optimal AMT shift strategies.

[0040] In a specific implementation, the vehicle speed, accelerator pedal opening, acceleration and slope are extracted as operating condition characteristic values ​​based on the actual operating condition data; the operating condition characteristic values ​​are associated with the optimal AMT shift strategy and stored in the shift strategy database.

[0041] It can be seen that this step generates the optimal AMT shift strategy under each working condition by selecting different working conditions, and inputs different shift strategies and corresponding working condition characteristics into the shift strategy database.

[0042] S6: During the actual driving process, the current operating condition characteristic values ​​are collected in real time, and the corresponding optimal AMT shift strategy is called in the shift strategy database based on the current operating condition characteristic values.

[0043] In a specific implementation, the specific working condition is determined by identifying the characteristic values ​​of different working conditions encountered during actual driving, thereby calling the corresponding optimal AMT shift strategy in the shift strategy database. In practical application, the current working condition of the vehicle can be determined by identifying signals such as vehicle speed, acceleration, and slope, and the optimal AMT shift strategy that best suits the current working condition is calculated. The shift strategy is called by the calling module in the shift strategy database and input into the TCU control unit to implement the execution of the optimal AMT shift strategy.

[0044] The present invention provides an AMT shift strategy optimization method, including: tracking vehicles and collecting relevant data, extracting and preliminarily processing the data in the later stage to obtain real-time data close to the actual situation; smoothing the data to obtain accurate road spectrum data, importing vehicle-related parameters into a cruise simulation model for simulation, and obtaining preliminary simulation results; generating an AMT shift strategy through a GSP Generation module for vehicle operating condition data, inputting the simulation model for simulation and comparing with preliminary results; calculating the optimal gear position based on a given operating condition through a GSP Optimization module, optimizing the balance of fuel consumption and emissions, and generating an optimal AMT shift strategy; generating the optimal shift strategy under each operating condition by selecting different operating conditions, and inputting different shift strategies and corresponding operating condition characteristics into a database; calling the corresponding shift strategy in the database by identifying different operating condition characteristic values ​​encountered during actual driving. The method optimizes and improves the AMT shift strategy based on the GSP module of cruise, so as to ultimately improve the accuracy of the vehicle economy simulation results and generate corresponding GSP output to TCU for vehicle calibration.

[0045] See also Figure 2 As shown, the present invention also discloses an AMT shift strategy optimization system, including: a data acquisition module 1, a road spectrum construction module 2, a simulation module 3, a strategy generation and screening module 4, an optimal shift strategy generation module 5, a database construction module 6 and a strategy calling module 7. The data acquisition module 1 is used to collect the vehicle's operating condition data, filter the operating condition data, and generate actual operating condition data.

[0046] The road spectrum construction module 2 is used to smooth the actual industrial control data to obtain the road spectrum data.

[0047] The simulation module 3 is used to input the road spectrum data and basic vehicle parameters into the cruise simulation model for simulation to obtain the vehicle's economic simulation results.

[0048] The strategy generation and screening module 4 is used to generate an AMT shift strategy according to actual working condition data using the GSP Generation module, input the AMT shift strategy into the cruise simulation model for simulation, and screen out an economical AMT shift strategy by comparing the simulation results with the economic simulation results.

[0049] The optimal shift strategy generation module 5 is used to use the GSP Optimization module to calculate the most economical gear under the working condition based on the working condition parameters corresponding to the actual working condition data of the economic AMT shift strategy, optimize the economic AMT shift strategy, and generate the optimal AMT shift strategy.

[0050] The database construction module 6 is used to extract operating condition characteristic values ​​based on actual operating condition data, and to construct a shift strategy database based on the operating condition characteristic values ​​and corresponding optimal AMT shift strategies.

[0051] The strategy calling module 7 is used to collect the current operating condition characteristic values ​​in real time during the actual driving process, and call the corresponding optimal AMT shift strategy in the shift strategy database based on the current operating condition characteristic values.

[0052] In a specific implementation, the shift strategy database constructed by the system includes a storage module 61 and a calling module 62 .

[0053] The storage module 61 is used to store different optimal AMT shift strategies and corresponding operating condition characteristic values.

[0054] The calling module 62 is used to call the corresponding optimal AMT shift strategy according to the operating condition characteristic value.

[0055] The specific implementation of the AMT shift strategy optimization system of this embodiment is basically the same as the specific implementation of the above-mentioned AMT shift strategy optimization method, and will not be repeated here.

[0056] The present invention also discloses an AMT shift strategy optimization device, comprising a processor and a memory; wherein, when the processor executes the AMT shift strategy optimization program stored in the memory, the steps of the AMT shift strategy optimization method as described in any one of the above items are implemented.

[0057] Furthermore, the AMT shift strategy optimization device in this embodiment may also include: The input interface is used to obtain the AMT shift strategy optimization program imported from the outside and save the obtained AMT shift strategy optimization program to the memory, and can also be used to obtain various instructions and parameters transmitted by the external terminal device and transmit them to the processor so that the processor can use the above various instructions and parameters to carry out corresponding processing. In this embodiment, the input interface can specifically include but is not limited to a USB interface, a serial interface, a voice input interface, a fingerprint input interface, a hard disk reading interface, etc.

[0058] The output interface is used to output various data generated by the processor to the terminal device connected thereto, so that other terminal devices connected to the output interface can obtain various data generated by the processor. In this embodiment, the output interface may specifically include but is not limited to a USB interface, a serial interface, etc.

[0059] The communication unit is used to establish a remote communication connection between the AMT shift strategy optimization device and an external server so that the AMT shift strategy optimization device can mount the image file to the external server. In this embodiment, the communication unit may specifically include but is not limited to a remote communication unit based on wireless communication technology or wired communication technology.

[0060] The keyboard is used to obtain various parameter data or instructions input by the user by tapping the keycaps in real time.

[0061] The display is used to display the relevant information of the AMT shift strategy optimization process in real time.

[0062] The mouse can be used to assist users in inputting data and simplify user operations.

[0063] The present invention also discloses a readable storage medium, wherein the readable storage medium includes a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable hard disk, a CD-ROM or any other form of storage medium known in the technical field. The readable storage medium stores an AMT shift strategy optimization program, and when the AMT shift strategy optimization program is executed by a processor, the steps of the AMT shift strategy optimization method described in any one of the above items are implemented.

[0064] In summary, the present invention effectively improves the diversity of shift control strategies and significantly improves the economy of the vehicle by establishing optimal shift strategies for different working conditions and storing them in a shift strategy database.

[0065] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. As for the method disclosed in the embodiment, since it corresponds to the system disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0066] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0067] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of systems or units, which can be electrical, mechanical or other forms.

[0068] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0069] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each module may exist physically separately, or two or more modules may be integrated into one unit.

[0070] Similarly, each processing unit in each embodiment of the present invention may be integrated into one functional module, or each processing unit may exist physically, or two or more processing units may be integrated into one functional module.

[0071] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0072] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0073] The above is a detailed introduction to the AMT shift strategy optimization method, system, device and readable storage medium provided by the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present invention, several improvements and modifications can be made to the present invention, and these improvements and modifications also fall within the scope of protection of the claims of the present invention.

Claims

1. A method for optimizing an AMT shift strategy, characterized in that: include: Collect vehicle operating data, filter the operating data, and generate actual operating data; Smooth the actual industrial control data to obtain the road spectrum data, input the road spectrum data and basic vehicle parameters into the cruise simulation model for simulation, and obtain the vehicle's economic simulation results; The GSP Generation module is used to generate an AMT shift strategy based on actual operating condition data, and the AMT shift strategy is input into the cruise simulation model for simulation. The simulation results are compared with the economic simulation results to select the economical AMT shift strategy. Using the GSP Optimization module, based on the operating parameters corresponding to the actual operating data of the economical AMT shift strategy, the most economical gear under the operating condition is calculated, the economical AMT shift strategy is optimized, and the optimal AMT shift strategy is generated; Extracting operating condition characteristic values ​​based on actual operating condition data, and building a shift strategy database based on the operating condition characteristic values ​​and the corresponding optimal AMT shift strategy; During actual driving, the current operating condition characteristic values ​​are collected in real time, and the corresponding optimal AMT shift strategy is called in the shift strategy database based on the current operating condition characteristic values.

2. The AMT shift strategy optimization method according to claim 1, characterized in that: The collecting of the vehicle operating condition data, filtering the operating condition data, and generating actual operating condition data includes: Collect the vehicle's altitude, time, speed, gear information, slope and acceleration as vehicle operating condition data; Use the filtering algorithm built by Matlab to remove abnormal data points in the vehicle operating condition data and generate actual operating condition data; Based on the actual working condition data, two columns of data, time and speed, are selected to generate road condition data with time as the horizontal axis and speed as the vertical axis.

3. The AMT shift strategy optimization method according to claim 2, characterized in that: The actual industrial control data is smoothed to obtain road spectrum data, and the road spectrum data and basic vehicle parameters are input into the cruise simulation model for simulation to obtain the economic simulation results of the vehicle, including: Based on the actual working condition data, the slope is corrected by filtering the actual working condition, and the vehicle speed is corrected by filtering the acceleration; Generate road spectrum data based on the corrected actual working condition data; the road spectrum data includes vehicle speed, slope, time and gear information; The road spectrum data, vehicle parameters, engine parameters, and transmission parameters are imported into the cruise simulation model for simulation to obtain the economic simulation results of the vehicle under the road spectrum data.

4. The AMT shift strategy optimization method according to claim 3, characterized in that: The GSPGeneration module is used to generate an AMT shift strategy according to actual working condition data, the AMT shift strategy is input into the cruise simulation model for simulation, and the economical AMT shift strategy is screened out by comparing the simulation result with the economic simulation result, including: Use the preset vehicle state recognition algorithm to analyze the actual working condition data and determine the vehicle's working condition environment; Use the GSP Generation module to generate a GSP Map based on the operating condition analysis results and actual operating condition data; Import the GSP Map into the cruise simulation model for simulation, generate simulation results and compare them with the economic simulation results; When making a comparison, the economic performance of the GSP Map under different operating conditions is evaluated based on average fuel consumption and fuel efficiency to determine the GSP Map with the best economy under each operating condition, and the GSP Map with the best economy under each operating condition is used as the economical AMT shifting strategy.

5. The AMT shift strategy optimization method according to claim 4, characterized in that: The GSPOptimization module is used to calculate the economical optimal gear under the working condition based on the working condition parameters corresponding to the actual working condition data of the economical AMT shifting strategy, optimize the economical AMT shifting strategy, and generate the optimal AMT shifting strategy, including: Determine corresponding operating condition parameters based on actual operating condition data of the economical AMT shift strategy; the operating condition parameters include tire rolling radius, engine speed, vehicle rear axle speed ratio, fuel consumption rate and power; Using the GSP Optimization module, the gear with the best economy is determined based on the operating parameters using the following formula: Ua=0.377×r×n / ig / i0; be=1000B / Pe; Among them, Ua is the vehicle speed, r is the tire rolling radius, n is the engine speed, ig is the current gear ratio of the gearbox, i0 is the rear axle speed ratio of the vehicle, be is the fuel consumption, B is the fuel consumption rate, and Pe is the power; According to the most economical gear, the economical AMT shifting strategy is optimized to generate the optimal AMT shifting strategy.

6. The AMT shift strategy optimization method according to claim 5, characterized in that: The extracting of operating condition characteristic values ​​based on actual operating condition data and constructing a shift strategy database based on the operating condition characteristic values ​​and the corresponding optimal AMT shift strategy include: Based on the actual working condition data, the vehicle speed, accelerator pedal opening, acceleration and slope are extracted as working condition characteristic values; The operating condition characteristic values ​​are associated with the optimal AMT shift strategy and stored in the shift strategy database.

7. An AMT shift strategy optimization system, characterized in that: The system adopts the AMT shift strategy optimization method according to any one of claims 1 to 6, and the system comprises: The data acquisition module is used to collect the vehicle's operating data, filter the operating data, and generate actual operating data; The road spectrum construction module is used to smooth the actual industrial control data to obtain the road spectrum data; The simulation module is used to input the road spectrum data and basic vehicle parameters into the cruise simulation model for simulation to obtain the vehicle's economic simulation results; The strategy generation and screening module is used to generate the AMT shift strategy based on the actual working condition data using the GSP Generation module, input the AMT shift strategy into the cruise simulation model for simulation, and screen out the economical AMT shift strategy by comparing the simulation results with the economic simulation results; An optimal shift strategy generation module is used to calculate the most economical gear under the working condition based on the working condition parameters corresponding to the actual working condition data of the economical AMT shift strategy by using the GSP Optimization module, optimize the economical AMT shift strategy, and generate the optimal AMT shift strategy; A database construction module, used for extracting operating condition characteristic values ​​based on actual operating condition data, and constructing a shift strategy database based on the operating condition characteristic values ​​and corresponding optimal AMT shift strategies; The strategy calling module is used to collect the current operating condition characteristic values ​​in real time during actual driving, and call the corresponding optimal AMT shift strategy in the shift strategy database based on the current operating condition characteristic values.

8. The AMT shift strategy optimization system according to claim 7, characterized in that: The shift strategy database includes a storage module and a calling module; A storage module, used to store different optimal AMT shift strategies and corresponding operating condition characteristic values; The calling module is used to call the corresponding optimal AMT shifting strategy according to the operating condition characteristic value.

9. An AMT shift strategy optimization device, characterized in that: include: A memory for storing an AMT shift strategy optimization program; A processor is used to implement the steps of the AMT shift strategy optimization method as described in any one of claims 1 to 6 when executing the AMT shift strategy optimization program.

10. A readable storage medium, characterized in that: The readable storage medium stores an AMT shift strategy optimization program, and when the AMT shift strategy optimization program is executed by a processor, the steps of the AMT shift strategy optimization method according to any one of claims 1 to 6 are implemented.

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