Simulation method, device and equipment for aerodynamic resistance of whole vehicle under driving condition and medium

Abstract

The embodiment of the application relates to the technical field of vehicles, and discloses a vehicle aerodynamic resistance simulation method, device, equipment and medium under driving conditions. The scheme comprises driving condition sorting, subsystem simulation model building, and vehicle simulation model correction. The driving condition sorting comprises screening and combining of key simulation boundary parameter data to form a simulation boundary condition statistical table. The building of the subsystem simulation model at least comprises three-dimensional model preprocessing and boundary condition setting of a fan, an air intake system and an exhaust system. The vehicle simulation model correction comprises integration of the subsystem and the vehicle basic simulation model. The final simulation result can be used as an input of the vehicle energy management aerodynamic resistance under the driving condition. The embodiment of the application can at least alleviate the problem that the control precision and energy-saving potential of the energy-saving control strategy for the vehicle energy management in the prior art are difficult to improve, and can make the vehicle simulation scene closer to the real driving condition of the vehicle, thereby facilitating improvement of the vehicle control precision.

Description

Technical Field

[0001] This invention relates to the field of vehicle technology, and in particular to a method, apparatus, equipment and medium for simulating the aerodynamic drag of a vehicle under driving conditions. Background Technology

[0002] In the current simulation calculation of vehicle energy management, the vehicle drag coefficient is generally adopted from the experimental value of coasting test or the simulation value of the simulation model of each enterprise, which is a fixed value.

[0003] However, using a fixed drag coefficient for energy management calculations during vehicle operation can make it difficult to maintain the optimal low energy consumption level under all driving conditions when formulating energy-saving strategies for vehicle energy management. Summary of the Invention

[0004] The purpose of this invention is to provide a method, device, equipment, and medium for simulating the aerodynamic drag of a vehicle under driving conditions. This invention can at least alleviate the problem in the prior art where the difference between the aerodynamic drag of a vehicle and the driving conditions is too large, which makes it difficult to improve the control accuracy and energy-saving potential of energy-saving control strategies for vehicle energy management. This invention can make the vehicle simulation scenario closer to the actual driving conditions of the vehicle, which is conducive to improving the control accuracy of the vehicle.

[0005] To address the aforementioned technical problems, in a first aspect, the present invention provides a method for simulating the aerodynamic drag of a vehicle under driving conditions, comprising at least:

[0006] At least three-dimensional data of the target vehicle model are acquired to extract the outer surface of the entire vehicle, and the outer surface of the entire vehicle is placed in a preset numerical wind tunnel simulation template to perform at least surface mesh generation and boundary condition configuration, thereby calculating at least the basic wind resistance value;

[0007] At least the input data of the vehicle energy management model when simulating vehicle driving conditions is obtained, and at least the aerodynamic resistance simulation boundary parameters are selected from the input data according to the aerodynamic resistance simulation requirements of the vehicle, and then a full set of simulation boundary conditions is formed based on the aerodynamic resistance simulation boundary parameters.

[0008] At least three-dimensional data of the key systems of the target vehicle model are obtained, and then at least one key system is built and integrated on the outer surface of the vehicle based on the three-dimensional data of the key systems to obtain a modified vehicle aerodynamic drag simulation model.

[0009] Based on the modified vehicle aerodynamic drag simulation model, the modified model calculation for at least one working condition is completed according to the full set of simulation boundary conditions to obtain the modified drag value for the corresponding working condition.

[0010] The base drag value and the corrected drag value under each operating condition are compared to select the calibrated drag value that meets the preset drag conditions. Then, when the vehicle is in the calibration operating condition corresponding to each calibrated drag value, the vehicle energy management model is calibrated in real time at least according to the calibrated drag value.

[0011] Optionally, during the process of performing the surface mesh division and the boundary condition configuration, the preset key areas for airflow separation on the vehicle body are encrypted.

[0012] Optionally, the aerodynamic resistance simulation boundary parameters include at least vehicle speed, fan speed, intake airflow, and exhaust airflow.

[0013] Optionally, the key system includes at least a fan system, an intake system, and an exhaust system.

[0014] Based on the same concept, in a second aspect, the present invention also provides a vehicle aerodynamic drag simulation device under driving conditions, for performing the vehicle aerodynamic drag simulation method under driving conditions as described in any one of the first aspects.

[0015] A vehicle aerodynamic drag simulation device under driving conditions should include at least the following:

[0016] The basic wind resistance calculation module is used to acquire at least three-dimensional data of the target vehicle model to extract the outer surface of the vehicle, and place the outer surface of the vehicle in a preset numerical wind tunnel simulation template to perform at least surface mesh generation and boundary condition configuration, thereby calculating at least the basic wind resistance value.

[0017] The working condition set formation module is used to at least acquire the input data of the vehicle energy management model when simulating the vehicle driving conditions, and at least filter out the aerodynamic resistance simulation boundary parameters from the input data according to the aerodynamic resistance simulation requirements of the vehicle, and then form a full set of simulation boundary working conditions based on the aerodynamic resistance simulation boundary parameters.

[0018] The model correction module is used to acquire at least three-dimensional data of the key systems of the target vehicle model, and then build and integrate at least one key system on the outer surface of the vehicle based on the three-dimensional data of the key systems to obtain a corrected vehicle aerodynamic drag simulation model.

[0019] The corrected drag calculation module is used to perform corrected model calculations under at least one working condition based on the corrected vehicle drag simulation model and the full set of simulation boundary conditions, so as to obtain the corrected drag value under the corresponding working condition.

[0020] The real-time calibration module is used to compare the basic drag value and the corrected drag value under each operating condition to select the calibration drag value that meets the preset drag conditions, and then perform real-time calibration on the vehicle energy management model at least according to the calibration drag value when the vehicle is in the calibration operating condition corresponding to each calibration drag value.

[0021] Optionally, during the process of performing the surface mesh division and the boundary condition configuration, the preset key areas for airflow separation on the vehicle body are encrypted.

[0022] Optionally, the aerodynamic resistance simulation boundary parameters include at least vehicle speed, fan speed, intake airflow, and exhaust airflow.

[0023] Optionally, the key system includes at least a fan system, an intake system, and an exhaust system.

[0024] Based on the same concept, in a third aspect, the present invention also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program executable on the processor, and the processor executes the program to implement the steps in the vehicle aerodynamic drag simulation method under driving conditions as described in any of the first aspects.

[0025] Based on the same concept, in a fourth aspect, the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps in the vehicle aerodynamic drag simulation method under driving conditions as described in any one of the first aspects.

[0026] The technical solution provided by this invention firstly acquires at least three-dimensional data of the target vehicle model to extract the vehicle's outer surface, and places the vehicle's outer surface in a preset numerical wind tunnel simulation template to perform at least surface mesh generation and boundary condition configuration, thereby calculating at least the basic drag value; furthermore, it acquires at least the input data of the vehicle energy management model simulating vehicle driving conditions, and at least filters out aerodynamic drag simulation boundary parameters from the input data according to the vehicle's aerodynamic drag simulation requirements, thereby forming a full set of simulation boundary conditions based on the aerodynamic drag simulation boundary parameters; furthermore, it acquires at least three-dimensional data of the key systems of the target vehicle model. Then, based on the 3D data of the key systems, at least one key system is built and integrated on the outer surface of the vehicle to obtain a modified vehicle aerodynamic drag simulation model. Further, based on the modified vehicle aerodynamic drag simulation model, the modified model is calculated under at least one working condition according to the full set of simulation boundary conditions to obtain the modified drag value under the corresponding working condition. Finally, the basic drag value and the modified drag value under each working condition are compared to select the calibration drag value that meets the preset drag conditions. Then, when the vehicle is in the calibration working condition corresponding to each calibration drag value, the vehicle energy management model is calibrated in real time at least according to the calibration drag value.

[0027] Therefore, the embodiments of the present invention can at least alleviate the problem in the prior art that the difference between the aerodynamic drag of the vehicle and the driving conditions is too large, which makes it difficult to improve the control accuracy and energy-saving potential of the energy-saving control strategy for vehicle energy management. It can make the vehicle simulation scenario closer to the actual driving conditions of the vehicle, which is conducive to improving the control accuracy of the vehicle. Attached Figure Description

[0028] Figure 1 This is a flowchart of a vehicle aerodynamic drag simulation method under driving conditions provided by an embodiment of the present invention;

[0029] Figure 2 This is a schematic diagram of the structure of a vehicle aerodynamic drag simulation device under driving conditions provided in an embodiment of the present invention;

[0030] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0032] The terminology used in the embodiments of this application is for the purpose of describing particular embodiments only and is not intended to limit the application. The singular forms “a,” “said,” and “the” used in the embodiments of this application and the appended claims are also intended to include the plural forms, and “multiple” generally includes at least two unless the context clearly indicates otherwise.

[0033] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0034] It should be understood that although the terms first, second, third, etc., may be used in the embodiments of this application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, first may also be referred to as second without departing from the scope of the embodiments of this application, and similarly, second may also be referred to as first.

[0035] Depending on the context, the words “if” or “suppose” as used here can be interpreted as “when” or “in response to determination” or “in response to detection.” Similarly, depending on the context, the phrases “if determination” or “if detection (of the stated condition or event)” can be interpreted as “when determination” or “in response to determination” or “when detection (of the stated condition or event)” or “in response to detection (of the stated condition or event).”

[0036] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that an article or device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such an article or device. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the article or device that includes said element.

[0037] It should be noted that any symbols and / or numbers present in the specification that are not marked in the accompanying drawings are not reference numerals.

[0038] Figure 1 This is a flowchart of a vehicle aerodynamic drag simulation method under driving conditions provided by an embodiment of the present invention. This embodiment is applicable to at least any vehicle simulation optimization scenario under driving conditions. This vehicle aerodynamic drag simulation method under driving conditions can be, but is not limited to, executed by the vehicle aerodynamic drag simulation device under driving conditions provided by the embodiment of the present invention as the execution subject. This execution subject can be implemented in software and / or hardware. Figure 1 As shown, the simulation method for vehicle aerodynamic drag under this driving condition includes at least the following steps:

[0039] S1. Obtain at least three-dimensional data of the target vehicle model to extract the outer surface of the vehicle, and place the outer surface of the vehicle in a preset numerical wind tunnel simulation template to perform at least surface mesh generation and boundary condition configuration, thereby calculating at least the basic wind resistance value.

[0040] The target vehicle's three-dimensional data can be of various types, such as overall length, overall width, overall height, wheelbase, and track width.

[0041] In one specific implementation, optionally, during the process of performing surface mesh generation and boundary condition configuration, a densification process is performed on the preset key areas for airflow separation on the vehicle body.

[0042] It is known that the key areas for airflow separation in the vehicle body can be configured according to the actual needs of the vehicle, such as the areas where the A-pillar, front grille, rearview mirror, and aerodynamic accessories are located.

[0043] More specifically, the aforementioned step S1 can be implemented as follows:

[0044] The outer surface of the entire vehicle is extracted based on the 3D data of the target vehicle model and placed in the simulation template of the numerical wind tunnel (i.e., the aforementioned preset numerical wind tunnel simulation template) for surface mesh generation. Key areas for airflow separation on the vehicle body, such as the A-pillar, are subjected to mesh refinement (this is because, to ensure the accuracy of the flow field simulation, the mesh generation in key areas must reach a preset refinement precision to accurately simulate the external flow field). The boundary conditions of the simulation model can be set with reference to typical wind tunnel conditions, followed by calculation to obtain the basic drag value.

[0045] S2. At least obtain the input data of the vehicle energy management model when simulating the vehicle driving conditions, and at least select the aerodynamic drag simulation boundary parameters from the input data according to the aerodynamic drag simulation requirements of the vehicle, and then form a full set of simulation boundary conditions based on the aerodynamic drag simulation boundary parameters.

[0046] The input data can be of various types, such as vehicle speed, gear, fuel level, accelerator pedal opening, and brake pedal opening.

[0047] In another specific implementation, optionally, the air resistance simulation boundary parameters include at least vehicle speed, fan speed, intake airflow, and exhaust airflow.

[0048] More specifically, step S2 can be further defined as follows:

[0049] Based on the input data from the vehicle energy management model simulation of driving conditions, the data of key simulation boundary parameters affecting the vehicle's aerodynamic drag are screened and combined. The simulation of the vehicle's external aerodynamics can be used to define key parameters affecting the external flow field (i.e., the aforementioned aerodynamic drag simulation boundary parameters), such as vehicle speed, fan speed, intake airflow, and exhaust airflow, and the curves of each key parameter changing over time can be plotted. Engineers can define reasonable value ranges for the key parameters, and data within these ranges can be extracted, such as vehicle speed 30km / h ≤ V ≤ 90km / h. Operating condition values ​​for each key parameter are defined from the extracted data, and these values ​​are combined to form a complete set of simulation boundary conditions, as shown in Table 1.

[0050] Table 1

[0051]

[0052] S3. Obtain at least the three-dimensional data of the key systems of the target vehicle model, and then build and integrate at least one key system on the outer surface of the vehicle based on the three-dimensional data of the key systems to obtain a modified vehicle aerodynamic drag simulation model.

[0053] There can be multiple key systems.

[0054] In another specific implementation, the critical system may optionally include at least a fan system, an intake system, and an exhaust system. Correspondingly, the three-dimensional data of the critical system may refer to the three-dimensional data of the fan system, the intake system, and the exhaust system.

[0055] More specifically, step S3 can be further defined as follows:

[0056] Based on the 3D data of the key system, the simulation model of the key system is built and integrated to obtain the corrected vehicle aerodynamic drag simulation model (i.e., the aforementioned corrected vehicle aerodynamic drag simulation model). For example, considering the influence of fan rotation on the flow field, the fan is set as a rotatable component and a corresponding speed is given; considering the influence of the intake system on the flow field, the inner surface of the intake system is extracted and connected to the basic simulation model (i.e., the aforementioned vehicle outer surface), the air filter is set as a porous medium, and the parameters are set according to the individual performance measured by bench tests. An inlet surface is set at the connection between the net side pipe of the intake system and the engine. This inlet surface is set as a flow inlet with the direction of intake and a corresponding flow rate is given; considering the influence of the exhaust system on the flow field, the inner surface of the exhaust system tailpipe is extracted and connected to the basic simulation model. An inlet surface is set at the connection between the tailpipe and the exhaust assembly. This inlet surface is set as a flow inlet with the direction of exhaust and a corresponding flow rate is given.

[0057] S4. Based on the corrected vehicle aerodynamic drag simulation model, calculate the corrected model under at least one working condition according to the full set of simulation boundary conditions to obtain the corrected drag value under the corresponding working condition.

[0058] S5. Compare the basic drag value and the corrected drag value under each operating condition to select the calibrated drag value that meets the preset drag conditions. Then, when the vehicle is in the calibration operating condition corresponding to each calibrated drag value, perform real-time calibration on the vehicle energy management model at least according to the calibrated drag value.

[0059] The preset wind resistance condition can be that the difference between the base wind resistance value and a certain modified wind resistance value is greater than 1% of the base wind resistance value and / or the modified wind resistance value (of course, in other embodiments, other percentage thresholds can also be used, such as 2%); the modified wind resistance value that meets the preset wind resistance condition is the calibration wind resistance value.

[0060] More specifically, the aforementioned steps S4 to S5 can be further defined as follows:

[0061] Complete the calculation of the aerodynamic drag simulation model of the whole vehicle under various working conditions, and compare the simulation results with the drag value of the basic simulation model (i.e. the aforementioned basic drag value) to filter out results with a difference greater than 1%, and then correct them in the time period corresponding to the working conditions of the whole vehicle energy management model.

[0062] The technical solution provided in this embodiment firstly acquires at least three-dimensional data of the target vehicle model to extract the outer surface of the entire vehicle, and places the outer surface of the entire vehicle in a preset numerical wind tunnel simulation template to perform at least surface mesh generation and boundary condition configuration, thereby calculating at least the basic drag value; furthermore, it acquires at least the input data of the vehicle energy management model simulating vehicle driving conditions, and at least filters out the aerodynamic drag simulation boundary parameters from the input data according to the vehicle aerodynamic drag simulation requirements, thereby forming a full set of simulation boundary conditions based on the aerodynamic drag simulation boundary parameters; furthermore, it acquires at least the three-dimensional data of the key systems of the target vehicle model, and then... Based on the 3D data of key systems, at least one key system is built and integrated on the outer surface of the vehicle to obtain a modified vehicle aerodynamic drag simulation model. Further, based on the modified vehicle aerodynamic drag simulation model, the modified model is calculated under at least one working condition according to the full set of simulation boundary conditions to obtain the modified drag value under the corresponding working condition. Finally, the basic drag value and the modified drag value under each working condition are compared to select the calibrated drag value that meets the preset drag conditions. Then, when the vehicle is in the calibration working condition corresponding to each calibrated drag value, the vehicle energy management model is calibrated in real time at least according to the calibrated drag value.

[0063] Therefore, this embodiment can at least alleviate the problem in the prior art that the difference between the aerodynamic drag of the vehicle and the driving conditions is too large, which makes it difficult to improve the control accuracy and energy-saving potential of the energy-saving control strategy for vehicle energy management. It can make the vehicle simulation scenario closer to the actual driving conditions of the vehicle, which is conducive to improving the control accuracy of the vehicle.

[0064] Figure 2 This is a schematic diagram of a vehicle aerodynamic drag simulation device under driving conditions provided by an embodiment of the present invention. This embodiment is applicable to at least any vehicle simulation optimization scenario under driving conditions. This vehicle aerodynamic drag simulation device under driving conditions can be implemented using software and / or hardware. Figure 2 As shown, the vehicle aerodynamic drag simulation device under driving conditions includes at least:

[0065] The basic wind resistance calculation module 110 is used to acquire at least three-dimensional data of the target vehicle model, extract the outer surface of the whole vehicle, and place the outer surface of the whole vehicle in a preset numerical wind tunnel simulation template to perform at least surface mesh generation and boundary condition configuration, thereby calculating at least the basic wind resistance value.

[0066] The working condition set forming module 120 is used to at least acquire the input data of the vehicle energy management model when simulating the vehicle driving conditions, and at least select the aerodynamic resistance simulation boundary parameters from the input data according to the aerodynamic resistance simulation requirements of the vehicle, and then form a full set of simulation boundary working conditions based on the aerodynamic resistance simulation boundary parameters.

[0067] The model correction module 130 is used to acquire at least three-dimensional data of the key systems of the target vehicle model, and then build and integrate at least one key system on the outer surface of the vehicle based on the three-dimensional data of the key systems to obtain a corrected vehicle aerodynamic simulation model.

[0068] The corrected drag calculation module 140 is used to perform corrected model calculations under at least one working condition based on the corrected vehicle drag simulation model and the full set of simulation boundary conditions, so as to obtain the corrected drag value under the corresponding working condition.

[0069] The real-time calibration module 150 is used to compare the basic drag value and the corrected drag value under each operating condition to select the calibration drag value that meets the preset drag conditions. Then, when the vehicle is in the calibration operating condition corresponding to each calibration drag value, the vehicle energy management model is calibrated in real time at least according to the calibration drag value.

[0070] Optionally, during the process of performing surface mesh generation and boundary condition configuration, the preset key areas for airflow separation on the vehicle body are densified.

[0071] Optionally, the boundary parameters for air resistance simulation include at least vehicle speed, fan speed, intake airflow, and exhaust airflow.

[0072] Optionally, the key systems include at least a fan system, an intake system, and an exhaust system.

[0073] The technical solution provided in this embodiment firstly acquires at least three-dimensional data of the target vehicle model through the basic drag calculation module to extract the vehicle's outer surface, and places the vehicle's outer surface in a preset numerical wind tunnel simulation template to perform at least surface mesh generation and boundary condition configuration, thereby calculating at least the basic drag value; furthermore, the operating condition set formation module acquires at least the input data of the vehicle energy management model simulating vehicle driving conditions, and at least filters out the drag simulation boundary parameters from the input data according to the vehicle's drag simulation requirements, thereby forming a full set of simulation boundary operating conditions based on the drag simulation boundary parameters; furthermore, the model correction module acquires at least the key system three-dimensional data of the target vehicle model. The system uses 3D data to build and integrate at least one key system on the outer surface of the vehicle to obtain a corrected vehicle aerodynamic drag simulation model. Further, based on the corrected vehicle aerodynamic drag simulation model, the corrected drag calculation module calculates the corrected model under at least one operating condition according to the full set of simulation boundary conditions to obtain the corrected drag value for that condition. Finally, the real-time calibration module compares the base drag value with the corrected drag value for each operating condition to select the calibrated drag value that meets the preset drag conditions. Then, when the vehicle is in the calibration condition corresponding to each calibrated drag value, the vehicle energy management model is calibrated in real-time based on the calibrated drag value.

[0074] Therefore, this embodiment can at least alleviate the problem in the prior art that the difference between the aerodynamic drag of the vehicle and the driving conditions is too large, which makes it difficult to improve the control accuracy and energy-saving potential of the energy-saving control strategy for vehicle energy management. It can make the vehicle simulation scenario closer to the actual driving conditions of the vehicle, which is conducive to improving the control accuracy of the vehicle.

[0075] This embodiment provides an electronic device. Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. See also: Figure 3 The electronic device 1000 includes a processor 1001 and a memory 1002. The memory 1002 stores computer-readable instructions. When the computer-readable instructions are executed by the processor 1001, the steps in any of the above-described vehicle aerodynamic drag simulation methods under driving conditions are performed. Through the above technical solution, the processor 1001 and the memory 1002 are interconnected and communicate with each other via a communication bus and / or other forms of connection mechanisms (not shown). The memory 1002 stores a processor-executable computer program. When the electronic device 1000 is running, the processor 1001 executes the computer program to perform the vehicle aerodynamic drag simulation method under driving conditions in any of the optional implementations of the above embodiments, to at least achieve the following functions: at least acquire three-dimensional data of the target vehicle model to extract the vehicle's outer surface, and place the vehicle's outer surface in a preset numerical wind tunnel simulation template to at least perform surface mesh generation and boundary condition configuration, thereby at least calculating the basic drag value; at least acquire the input data of the vehicle energy management model when simulating vehicle driving conditions, and at least according to the vehicle aerodynamic drag simulation requirements. The aerodynamic drag simulation boundary parameters are selected from the input data, and then a full set of simulation boundary conditions is formed based on the aerodynamic drag simulation boundary parameters. At least three-dimensional data of the key systems of the target vehicle model are obtained, and at least one key system is built and integrated on the outer surface of the vehicle based on the three-dimensional data of the key systems to obtain a corrected vehicle aerodynamic drag simulation model. Based on the corrected vehicle aerodynamic drag simulation model, the correction model calculation under at least one condition is completed according to the full set of simulation boundary conditions to obtain the corrected drag value under the corresponding condition. The basic drag value and the corrected drag value under each condition are compared to select the calibration drag value that meets the preset drag conditions. Then, when the vehicle is in the calibration condition corresponding to each calibration drag value, the vehicle energy management model is calibrated in real time based on the calibration drag value.

[0076] This embodiment provides a computer-readable storage medium storing a computer program. When executed by a processor, the program implements the vehicle aerodynamic drag simulation method under driving conditions as provided in all embodiments of this application: at least acquiring three-dimensional data of the target vehicle model to extract the vehicle's outer surface, and placing the vehicle's outer surface in a preset numerical wind tunnel simulation template to at least perform surface mesh generation and boundary condition configuration, thereby at least calculating the basic drag value; at least acquiring the input data of the vehicle energy management model simulating vehicle driving conditions, and at least filtering the aerodynamic drag simulation boundary parameters from the input data according to the vehicle's aerodynamic drag simulation requirements, thereby forming a full simulation based at least on the aerodynamic drag simulation boundary parameters. Boundary condition set; at least obtain the three-dimensional data of the key systems of the target vehicle model, and then build and integrate at least one key system on the outer surface of the whole vehicle based on the three-dimensional data of the key systems to obtain a corrected vehicle aerodynamic drag simulation model; based on the corrected vehicle aerodynamic drag simulation model, complete the calculation of the corrected model under at least one condition according to the full set of simulation boundary conditions to obtain the corrected drag value under the corresponding condition; compare the basic drag value and the corrected drag value under each condition to select the calibration drag value that meets the preset drag conditions, and then perform real-time calibration of the whole vehicle energy management model at least according to the calibration drag value when the vehicle is in the calibration condition corresponding to each calibration drag value.

[0077] Any combination of one or more computer-readable media may be used. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium can be, for example—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, apparatus, or device.

[0078] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including—but not limited to—electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of transmitting, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0079] The program code contained on a computer-readable medium may be transmitted using any suitable medium, including—but not limited to—wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0080] Computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof. Programming languages ​​include object-oriented programming languages—such as Java, Smalltalk, and C++—as well as conventional procedural programming languages—such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0081] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for simulating the aerodynamic drag of a vehicle under driving conditions, characterized in that, At least including: At least three-dimensional data of the target vehicle model are acquired to extract the outer surface of the entire vehicle, and the outer surface of the entire vehicle is placed in a preset numerical wind tunnel simulation template to perform at least surface mesh generation and boundary condition configuration, thereby calculating at least the basic wind resistance value; At least the input data of the vehicle energy management model when simulating vehicle driving conditions is obtained, and at least the aerodynamic resistance simulation boundary parameters are selected from the input data according to the aerodynamic resistance simulation requirements of the vehicle, and then a full set of simulation boundary conditions is formed based on the aerodynamic resistance simulation boundary parameters. At least three-dimensional data of the key systems of the target vehicle model are obtained, and then at least one key system is built and integrated on the outer surface of the vehicle based on the three-dimensional data of the key systems to obtain a modified vehicle aerodynamic drag simulation model. Based on the modified vehicle aerodynamic drag simulation model, the modified model calculation for at least one working condition is completed according to the full set of simulation boundary conditions to obtain the modified drag value for the corresponding working condition. The base drag value and the corrected drag value under each operating condition are compared to select the calibrated drag value that meets the preset drag conditions. Then, when the vehicle is in the calibration operating condition corresponding to each calibrated drag value, the vehicle energy management model is calibrated in real time at least according to the calibrated drag value.

2. The method for simulating the aerodynamic drag of a vehicle under driving conditions according to claim 1, characterized in that, During the process of performing the surface mesh division and the boundary condition configuration, the preset key areas for airflow separation on the vehicle body are encrypted.

3. The method for simulating the aerodynamic drag of a vehicle under driving conditions according to claim 1, characterized in that, The boundary parameters for the aerodynamic drag simulation include at least vehicle speed, fan speed, intake airflow, and exhaust airflow.

4. The vehicle aerodynamic drag simulation method under driving conditions according to claim 3, characterized in that, The key systems include at least a fan system, an intake system, and an exhaust system.

5. A vehicle aerodynamic drag simulation device under driving conditions, characterized in that, Used to perform the vehicle aerodynamic drag simulation method under driving conditions as described in any one of claims 1-4; The vehicle aerodynamic drag simulation device under driving conditions includes at least: The basic wind resistance calculation module is used to acquire at least three-dimensional data of the target vehicle model to extract the outer surface of the vehicle, and place the outer surface of the vehicle in a preset numerical wind tunnel simulation template to perform at least surface mesh generation and boundary condition configuration, thereby calculating at least the basic wind resistance value. The working condition set formation module is used to at least acquire the input data of the vehicle energy management model when simulating the vehicle driving conditions, and at least filter out the aerodynamic resistance simulation boundary parameters from the input data according to the aerodynamic resistance simulation requirements of the vehicle, and then form a full set of simulation boundary working conditions based on the aerodynamic resistance simulation boundary parameters. The model correction module is used to acquire at least three-dimensional data of the key systems of the target vehicle model, and then build and integrate at least one key system on the outer surface of the vehicle based on the three-dimensional data of the key systems to obtain a corrected vehicle aerodynamic drag simulation model. The corrected drag calculation module is used to perform corrected model calculations under at least one working condition based on the corrected vehicle drag simulation model and the full set of simulation boundary conditions, so as to obtain the corrected drag value under the corresponding working condition. The real-time calibration module is used to compare the basic drag value and the corrected drag value under each operating condition to select the calibration drag value that meets the preset drag conditions, and then perform real-time calibration on the vehicle energy management model at least according to the calibration drag value when the vehicle is in the calibration operating condition corresponding to each calibration drag value.

6. The vehicle aerodynamic drag simulation device under driving conditions according to claim 1, characterized in that, During the process of performing the surface mesh division and the boundary condition configuration, the preset key areas for airflow separation on the vehicle body are encrypted.

7. The vehicle aerodynamic drag simulation device under driving conditions according to claim 1, characterized in that, The boundary parameters for the aerodynamic drag simulation include at least vehicle speed, fan speed, intake airflow, and exhaust airflow.

8. The vehicle aerodynamic drag simulation device under driving conditions according to claim 3, characterized in that, The key systems include at least a fan system, an intake system, and an exhaust system.

9. An electronic device comprising a memory and a processor, the memory storing a computer program executable on the processor, characterized in that, When the processor executes the program, it implements the steps in the vehicle aerodynamic drag simulation method under driving conditions as described in any one of claims 1-4.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps in the vehicle aerodynamic drag simulation method under driving conditions as described in any one of claims 1-4.

Images