Aerodynamic load calculation method, device, equipment and medium

Abstract

The embodiment of the application provides a method, device, equipment and medium for calculating aerodynamic load, a train model is constructed, a first aerodynamic load value of the train model under a preset wind speed is obtained, a second aerodynamic load value of the train model under a preset train speed is obtained, a target prediction model is fitted according to the wind speed, the train speed, the first aerodynamic load value and the second aerodynamic load value, real-time train speed and real-time wind speed are obtained, and a real-time aerodynamic load value is obtained according to the real-time train speed, the real-time wind speed and the target prediction model, so that the aerodynamic load of the train under various conditions can be quickly and accurately calculated, and the calculation resource and the calculation workload are saved.

Description

Technical Field

[0001] The embodiments of this application relate to, but are not limited to, the field of train technology, and particularly to aerodynamic load calculation methods, devices, equipment, and media. Background Technology

[0002] With the development of transportation, trains are being used more and more widely. Train speed and wind speed are important factors that affect the aerodynamic loads of intercity trains, maglev trains, and vacuum tube trains. However, at present, there are few data samples obtained from real-time measurements of the aerodynamic loads of intercity trains, maglev trains, and vacuum tube trains, and the results obtained from aerodynamic load calculations based on these real-time measurement data samples are not accurate enough. Summary of the Invention

[0003] The following is an overview of the subject matter described in detail herein. This overview is not intended to limit the scope of the claims.

[0004] This application provides a method, apparatus, equipment, and medium for calculating aerodynamic loads, which can quickly and accurately calculate the aerodynamic loads of trains under various conditions.

[0005] An embodiment of the first aspect of this application provides a method for calculating aerodynamic loads, comprising:

[0006] Construct a train model, which includes a track and a car body moving on the track;

[0007] Obtain the first aerodynamic load value of the train model under a preset wind speed, and obtain the second aerodynamic load value of the train model under a preset vehicle speed;

[0008] A target prediction model is obtained by fitting the wind speed, the vehicle speed, the first aerodynamic load value, and the second aerodynamic load value.

[0009] Real-time vehicle speed and real-time wind speed are obtained, and real-time aerodynamic load values ​​are obtained based on the real-time vehicle speed, the real-time wind speed, and the target prediction model.

[0010] In some embodiments of the first aspect of this application, the vehicle body includes multiple carriages; obtaining the first aerodynamic load value of the train model under a preset wind speed includes: obtaining the first aerodynamic load value of each carriage under a preset wind speed.

[0011] In some embodiments of the first aspect of this application, obtaining the second aerodynamic load value of the train model at a preset speed includes: obtaining the second aerodynamic load value of each carriage at a preset speed.

[0012] In certain embodiments of the first aspect of this application, the step of fitting a target prediction model based on the wind speed, the vehicle speed, the first aerodynamic load value, and the second aerodynamic load value includes:

[0013] The first aerodynamic load value of each car is converted into the first dimensionless coefficient;

[0014] The second aerodynamic load value of each car is converted into a second dimensionless coefficient;

[0015] The first prediction function is obtained based on the wind speed and the first dimensionless coefficient;

[0016] The second prediction function is obtained based on the vehicle speed and the second dimensionless coefficient;

[0017] The target prediction model is obtained based on the first prediction function and the second prediction function.

[0018] In certain embodiments of the first aspect of this application, the train model includes multiple train formation units, each train formation unit having a different number of carriages; the step of obtaining the first prediction function based on the wind speed and the first dimensionless coefficient includes:

[0019] Based on the first dimensionless coefficient and the wind speed, the first individual effect value of each carriage on the aerodynamic drag of other train units is obtained.

[0020] Based on the first dimensionless coefficient and the wind speed, calculate the first interaction effect value of the aerodynamic drag of the current formation unit on the preceding formation unit;

[0021] Based on the first dimensionless coefficient and the wind speed, calculate the second interaction effect value of the aerodynamic drag of the current formation unit on the subsequent formation unit;

[0022] A first prediction function is obtained based on the first individual effect value, the first interaction effect value, and the second interaction effect value.

[0023] In certain embodiments of the first aspect of this application, the train model includes multiple train formation units, each train formation unit having a different number of carriages; the step of obtaining the second prediction function based on the train speed and the second dimensionless coefficient includes:

[0024] Based on the second dimensionless coefficient and the vehicle speed, the second individual effect value of the aerodynamic drag of each car on other train units is obtained;

[0025] Based on the second dimensionless coefficient and the vehicle speed, calculate the third interaction effect value of the aerodynamic drag of the current formation unit on the preceding formation unit;

[0026] Based on the second dimensionless coefficient and the vehicle speed, calculate the fourth interaction effect value of the aerodynamic drag of the current formation unit on the subsequent formation unit;

[0027] A second prediction function is obtained based on the second individual effect value, the third interaction effect value, and the fourth interaction effect value.

[0028] In certain embodiments of the first aspect of this application, the first dimensionless coefficient includes at least one of drag coefficient, lateral force coefficient, lift coefficient, and overturning moment; the second dimensionless coefficient includes at least one of drag coefficient, lateral force coefficient, lift coefficient, and overturning moment.

[0029] A second aspect of this application provides a pneumatic load calculation device, comprising:

[0030] A train model building unit is used to build a train model, which includes a track and a car body moving on the track.

[0031] The aerodynamic load calculation unit obtains the first aerodynamic load value of the train model under a preset wind speed and the second aerodynamic load value of the train model under a preset vehicle speed.

[0032] The model fitting unit is used to fit a target prediction model based on the wind speed, the vehicle speed, the first aerodynamic load value, and the second aerodynamic load value.

[0033] The real-time calculation unit is used to obtain real-time vehicle speed and real-time wind speed, and to obtain real-time aerodynamic load values ​​based on the real-time vehicle speed, the real-time wind speed and the target prediction model.

[0034] According to a third aspect of this application, an electronic device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the aerodynamic load calculation method as described above.

[0035] According to a fourth aspect of this application, a computer-readable storage medium stores computer-executable instructions for performing the aerodynamic load calculation method described above.

[0036] The embodiments of this application include: constructing a train model; obtaining a first aerodynamic load value of the train model under a preset wind speed and a second aerodynamic load value of the train model under a preset vehicle speed; fitting a target prediction model based on wind speed, vehicle speed, the first aerodynamic load value, and the second aerodynamic load value; obtaining real-time vehicle speed and real-time wind speed, and obtaining real-time aerodynamic load values ​​based on real-time vehicle speed, real-time wind speed, and the target prediction model; enabling rapid and accurate calculation of the aerodynamic load of the train under various conditions, saving computational resources and workload. Attached Figure Description

[0037] The accompanying drawings are used to provide a further understanding of the technical solutions of this application and constitute a part of the specification. They are used together with the embodiments of this application to explain the technical solutions of this application and do not constitute a limitation on the technical solutions of this application.

[0038] Figure 1 This is a step diagram of the aerodynamic load calculation method provided in the embodiments of this application;

[0039] Figure 2 This is a sub-step diagram of step S300;

[0040] Figure 3 This is a sub-step diagram of step S330;

[0041] Figure 4 This is a sub-step diagram of step S340;

[0042] Figure 5 This is a structural diagram of the aerodynamic load calculation device provided in the embodiments of this application. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0044] It should be noted that although functional modules are divided in the device schematic diagram and a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first," "second," etc., in the specification, claims, or the aforementioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0045] This application provides an aerodynamic load calculation method, apparatus, device, and medium. By constructing a train model, obtaining a first aerodynamic load value of the train model under a preset wind speed, and a second aerodynamic load value of the train model under a preset vehicle speed, a target prediction model is obtained by fitting the wind speed, vehicle speed, first aerodynamic load value, and second aerodynamic load value, and real-time vehicle speed and real-time wind speed are obtained. Based on the real-time vehicle speed, real-time wind speed, and target prediction model, real-time aerodynamic load values ​​are obtained. This allows for rapid and accurate calculation of the train's aerodynamic load under various conditions, saving computational resources and workload.

[0046] The embodiments of this application will be further described below with reference to the accompanying drawings.

[0047] An embodiment of this application provides a method for calculating aerodynamic loads.

[0048] Reference Figure 1 The aerodynamic load calculation method includes, but is not limited to, the following steps:

[0049] Step S100: Construct a train model;

[0050] Step S200: Obtain the first aerodynamic load value of the train model under the preset wind speed, and obtain the second aerodynamic load value of the train model under the preset vehicle speed.

[0051] Step S300: The target prediction model is obtained by fitting the wind speed, vehicle speed, first aerodynamic load value and second aerodynamic load value.

[0052] Step S400: Obtain real-time vehicle speed and real-time wind speed. Based on the real-time vehicle speed, real-time wind speed, and target prediction model, obtain the real-time aerodynamic load value.

[0053] For step S100, a train model is constructed using modeling tools. The train model includes the track and the car body moving on the track, ignoring smaller structures such as the pantograph and windows. Because the train runs on an elevated bridge, the track is a certain distance from the ground, ignoring structures such as bridge piers beside the track.

[0054] Construct train models with multiple train formations, each with a different number of carriages. For example, construct train models with 3 carriages, 4 carriages, 6 carriages, and 8 carriages.

[0055] For step S200, obtaining the first aerodynamic load value of the train model under the preset wind speed includes: obtaining the first aerodynamic load value of each carriage under the preset wind speed.

[0056] For example, to obtain the aerodynamic load value W3 of the entire train model with 3 carriages under a preset wind speed, and the starting load value W of each carriage. 3-1 W 3-2 W 3-3 .

[0057] It should be noted that the preset speed includes both the speed value and the direction of the speed.

[0058] Obtaining the second aerodynamic load value of the train model at a preset speed includes: obtaining the second aerodynamic load value of each carriage at a preset speed.

[0059] For example, to obtain the aerodynamic load value U3 of the entire train model with 3 carriages at a preset speed, and the starting load value U of each carriage. 3-1 U 3-2 U 3-3 .

[0060] It should be noted that the preset wind speed includes both the wind speed value and the wind direction. For example, the preset lateral wind speed value is 30 m / s, and the wind direction angle is 90 degrees.

[0061] Reference Figure 2 For step S300, a target prediction model is obtained by fitting the wind speed, vehicle speed, first aerodynamic load value, and second aerodynamic load value, including but not limited to the following steps:

[0062] Step S310: Convert the first aerodynamic load value of each car into a first dimensionless coefficient;

[0063] Step S320: Convert the second aerodynamic load value of each car into a second dimensionless coefficient;

[0064] Step S330: Obtain the first prediction function based on the wind speed and the first dimensionless coefficient;

[0065] Step S340: Obtain the second prediction function based on the vehicle speed and the second dimensionless coefficient;

[0066] Step S350: Obtain the target prediction model based on the first prediction function and the second prediction function.

[0067] For step S310, the first dimensionless coefficient includes at least one of drag coefficient, lateral force coefficient, lift coefficient, and overturning moment.

[0068] For example, the drag, lateral force, lift, and overturning force acting on the vehicle body can be obtained from the first aerodynamic load value. The drag coefficient is calculated as follows: The lateral force coefficient is calculated as follows: The lift coefficient is calculated as follows: The overturning moment is calculated as follows: Among them, F x F represents the resistance force experienced by the vehicle body. s F represents the lateral force acting on the vehicle body. L F represents the lift force acting on the vehicle body. s The force exerted on the vehicle body represents the overturning force; ρ represents the air density; v couple This represents the combined speed of the vehicle and the wind. (S) x S represents the projected area of ​​the vehicle body in the forward direction. y S represents the projected area of ​​the vehicle body in the lateral direction. z This represents the projected area of ​​the vehicle body in the vertical direction.

[0069] For step S320, the second dimensionless coefficient includes at least one of drag coefficient, lateral force coefficient, lift coefficient, and overturning moment.

[0070] Similarly, the drag, lateral force, lift, and overturning force acting on the vehicle body can be obtained from the second aerodynamic load value. The drag coefficient is calculated as follows: The lateral force coefficient is calculated as follows: The lift coefficient is calculated as follows: The overturning moment is calculated as follows: Among them, F x F represents the resistance force experienced by the vehicle body. s F represents the lateral force acting on the vehicle body. L F represents the lift force acting on the vehicle body. s The force exerted on the vehicle body represents the overturning force; ρ represents the air density; v couple This represents the combined speed of the vehicle and the wind. (S) x S represents the projected area of ​​the vehicle body in the forward direction. y S represents the projected area of ​​the vehicle body in the lateral direction. z This represents the projected area of ​​the vehicle body in the vertical direction.

[0071] Reference Figure 3 For step S330, the first prediction function is obtained based on the wind speed and the first dimensionless coefficient, including but not limited to the following steps:

[0072] Step S331: Based on the first dimensionless coefficient and wind speed, obtain the first individual effect value of the aerodynamic drag of each car on other train units.

[0073] Step S332: Calculate the first interaction effect value of the aerodynamic drag of the current formation unit on the preceding formation unit based on the first dimensionless coefficient and the wind speed.

[0074] Step S333: Calculate the second interaction effect value of the aerodynamic drag of the current formation unit on the subsequent formation unit based on the first dimensionless coefficient and wind speed.

[0075] Step S334: Obtain the first prediction function based on the first individual effect value, the first interaction effect value, and the second interaction effect value.

[0076] For example, the ratio of the dimensionless coefficient of the entire four-car train model to the wind speed is used to obtain ω4. The ratio of the dimensionless coefficient of each car in the four-car train model to the wind speed is used to obtain ω. 4-1 ω 4-2 ω 4-3 ω 4-4 The formula for calculating the first prediction function is as follows: F ω4 (x)=ω 4-1 (x)+ω 4-2 (x)+ω 4-3 (x)+ω 4-4 (x)+λ4-x (x)+η x-4 (x). Where ω 4-1 (x), ω 4-2 (x), ω 4-3 (x), ω 4-4 (x) represents the first individual effect of the first, second, third, and fourth cars of a 4-car train model on the aerodynamic drag of other train units, respectively. 4-x (x) represents the first interaction effect value of the aerodynamic drag of the 4-car train model unit on the preceding unit, η. x-4 (x) represents the second interaction effect value of the aerodynamic drag of the 4-car train model unit on the subsequent unit. The preceding unit is the unit with fewer cars than the current unit, and the subsequent unit is the unit with more cars than the current unit.

[0077] Reference Figure 4 For step S340, the second prediction function is obtained based on the vehicle speed and the second dimensionless coefficient, including but not limited to the following steps:

[0078] Step S341: Based on the second dimensionless coefficient and the vehicle speed, obtain the second individual effect value of the aerodynamic drag of each car on other train units.

[0079] Step S342: Calculate the third interaction effect value of the aerodynamic drag of the current formation unit on the preceding formation unit based on the second dimensionless coefficient and the vehicle speed.

[0080] Step S343: Calculate the fourth interaction effect value of the aerodynamic drag of the current formation unit on the subsequent formation unit based on the second dimensionless coefficient and the vehicle speed.

[0081] Step S344: Obtain the second prediction function based on the influence values ​​of the second individual effect, the third interaction effect, and the fourth interaction effect.

[0082] For example, the ratio of the dimensionless coefficient of the entire four-car train model to its speed is calculated to obtain ε4. The ratio of the dimensionless coefficient of each car in the four-car train model to its speed is calculated to obtain ε. 4-1 ε 4-2 ε 4-3 ε 4-4 .

[0083] The formula for calculating the second prediction function is as follows: F ε4 (x)=ε 4-1 (x)+ε 4-2 (x)+ε 4-3 (x)+ε 4-4 (x)+λ4-x (x)+η x-4 (x). Wherein, ε 4-1 (x), ε 4-2 (x), ε 4-3 (x), ε 4-4 (x) represents the second individual effect of the first, second, third, and fourth cars of a 4-car train model on the aerodynamic drag of other train units, respectively. 4-x (x) represents the third interaction effect value of the aerodynamic drag of the 4-car train model unit on the preceding unit, η. x-4 (x) represents the fourth interaction effect value of the aerodynamic drag of the 4-car train model unit on the subsequent unit. The preceding unit is the unit with fewer cars than the current unit, and the subsequent unit is the unit with more cars than the current unit.

[0084] For step S350, the target prediction model is obtained based on the first prediction function and the second prediction function. For example, a target prediction model is as follows:

[0085] Then, based on the target prediction model, the reliability of the target prediction model is determined by the magnitude of the coefficient of determination. The closer the coefficient of determination is to 1, the more reliable the target prediction model is.

[0086] For step S400, obtain the real-time vehicle speed and real-time wind speed; input the real-time vehicle speed and real-time wind speed into the target prediction model for calculation to obtain the real-time aerodynamic load value.

[0087] It is understood that, in some embodiments, the influence value of the first interaction effect may be equal to the influence value of the third interaction effect, and the influence value of the second interaction effect may be equal to the influence value of the fourth interaction effect.

[0088] An embodiment of this application provides a pneumatic load calculation device.

[0089] Reference Figure 5 The aerodynamic load calculation device includes a train model construction unit 10, an aerodynamic load calculation unit 20, a model fitting unit 30, and a real-time calculation unit 40.

[0090] Train model building unit 10 is used to build a train model, which includes a track and a car body moving on the track;

[0091] The aerodynamic load calculation unit 20 is used to obtain the first aerodynamic load value of the train model under the preset wind speed and the second aerodynamic load value of the train model under the preset vehicle speed.

[0092] Model fitting unit 30 is used to fit the target prediction model based on wind speed, vehicle speed, first aerodynamic load value and second aerodynamic load value;

[0093] The real-time calculation unit 40 is used to obtain real-time vehicle speed and real-time wind speed, and to obtain real-time aerodynamic load values ​​based on real-time vehicle speed, real-time wind speed and target prediction model.

[0094] It is understood that the content of the pneumatic load calculation method embodiment is applicable to the pneumatic load calculation device embodiment. The specific functions implemented by the pneumatic load calculation device embodiment are the same as those of the pneumatic load calculation method embodiment, and the beneficial effects achieved are also the same as those achieved by the pneumatic load calculation method embodiment.

[0095] An embodiment of this application provides an electronic device. The electronic device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the aerodynamic load calculation method described above.

[0096] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs, such as the aerodynamic load calculation method in the above embodiments of the present invention. The processor implements the aerodynamic load calculation method in the above embodiments of the present invention by running the non-transitory software program and the program stored in the memory.

[0097] The memory may include a program storage area and a data storage area. The program storage area may store the operating system and application programs required for at least one function. The data storage area may store data required for executing the aerodynamic load calculation method described in the embodiments of the present invention. Furthermore, the memory may include high-speed random access memory and non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0098] An embodiment of this application provides a computer-readable storage medium storing computer-executable instructions for performing the aerodynamic load calculation method described above.

[0099] It will be understood by those skilled in the art that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components can be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, it is well known to those skilled in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium. In the foregoing description of this specification, references to terms such as "one embodiment," "another embodiment," or "some embodiments," etc., indicate that a specific feature, structure, material, or characteristic described in connection with an embodiment or example is included in at least one embodiment or example of this application. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0100] Although embodiments of this application have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of this application, the scope of which is defined by the embodiments and their equivalents.

[0101] The above is a detailed description of the preferred embodiments of this application, but this application is not limited to the embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of this application, and these equivalent modifications or substitutions are all included within the scope defined by the embodiments of this application.

Claims

1. A method of calculating aerodynamic loads, characterized by, The method comprises the following steps: constructing a train model; obtaining a first aerodynamic load value of the train model at a preset wind speed, and obtaining a second aerodynamic load value of the train model at a preset vehicle speed; fitting a target prediction model according to the wind speed, the vehicle speed, the first aerodynamic load value and the second aerodynamic load value; obtaining a real-time vehicle speed and a real-time wind speed, and obtaining a real-time aerodynamic load value according to the real-time vehicle speed, the real-time wind speed and the target prediction model; wherein the fitting of the target prediction model according to the wind speed, the vehicle speed, the first aerodynamic load value and the second aerodynamic load value comprises: converting the first aerodynamic load value of each car into a first dimensionless coefficient; converting the second aerodynamic load value of each car into a second dimensionless coefficient; obtaining a first prediction function according to the wind speed and the first dimensionless coefficient; obtaining a second prediction function according to the vehicle speed and the second dimensionless coefficient; obtaining a target prediction model according to the first prediction function and the second prediction function; the train model comprises a plurality of marshalling units, and the number of cars in each marshalling unit is different; the first prediction function is obtained according to the wind speed and the first dimensionless coefficient, comprising: obtaining a first individual effect value of the aerodynamic resistance of each car to other marshalling units according to the first dimensionless coefficient and the wind speed; calculating a first interaction effect value of the aerodynamic resistance of the current marshalling unit to the front marshalling unit according to the first dimensionless coefficient and the wind speed; calculating a second interaction effect value of the aerodynamic resistance of the current marshalling unit to the rear marshalling unit according to the first dimensionless coefficient and the wind speed; obtaining a first prediction function according to the first individual effect value, the first interaction effect value and the second interaction effect value; the train model comprises a plurality of marshalling units, and the number of cars in each marshalling unit is different; the second prediction function is obtained according to the vehicle speed and the second dimensionless coefficient, comprising: obtaining a second individual effect value of the aerodynamic resistance of each car to other marshalling units according to the second dimensionless coefficient and the vehicle speed; calculating a third interaction effect value of the aerodynamic resistance of the current marshalling unit to the front marshalling unit according to the second dimensionless coefficient and the vehicle speed; calculating a fourth interaction effect value of the aerodynamic resistance of the current marshalling unit to the rear marshalling unit according to the second dimensionless coefficient and the vehicle speed; obtaining a second prediction function according to the second individual effect value, the third interaction effect value and the fourth interaction effect value.

2. The method of claim 1, wherein, The train model comprises a track and a car body moving on the track, and the car body comprises a plurality of cars; the first aerodynamic load value of each car at the preset wind speed is obtained.

3. The method of claim 2, wherein, The second aerodynamic load value of each car at the preset vehicle speed is obtained.

4. The method of claim 1, wherein The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment.

5. An aerodynamic load calculation device characterized by comprising: Comprise: The train model construction unit is used for constructing a train model, and the train model comprises a track and a car body moving on the track; The aerodynamic load calculation unit is used for obtaining a first aerodynamic load value of the train model under a preset wind speed, and obtaining a second aerodynamic load value of the train model under a preset vehicle speed; The model fitting unit is used for fitting a target prediction model according to the wind speed, the vehicle speed, the first aerodynamic load value and the second aerodynamic load value; The real-time calculation unit is used for obtaining a real-time vehicle speed and a real-time wind speed, and obtaining a real-time aerodynamic load value according to the real-time vehicle speed, the real-time wind speed and the target prediction model; The model fitting unit is used for fitting a target prediction model according to the wind speed, the vehicle speed, the first aerodynamic load value and the second aerodynamic load value; The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. 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The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and a overturning moment. The first dimensionless coefficient includes at least one of a drag coefficient, a side force coefficient, a lift coefficient, and 6. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method for calculating aerodynamic load according to any one of claims 1 to 4 when executing the computer program.

7. A computer-readable storage medium, characterized in that, A computer executable instruction is stored, and the computer executable instruction is used to execute the method for calculating aerodynamic load according to any one of claims 1 to 4.

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