Control optimization method and system for air outlet of automobile air conditioner, medium and equipment

Abstract

The invention discloses a control optimization method and system for an air outlet of an automobile air conditioner, a medium and equipment, and relates to the technical field of automobile intelligent control. The method comprises the steps that structural parameters of grid blades of an air outlet of an automobile air conditioner are obtained, and flow field analysis is conducted on the air outlet condition of the air conditioner according to the structural parameters of the grid blades in combination with an in-automobile environment structure; acquiring facial posture data of the user, and evaluating the comfort level of the user according to a flow field analysis result; and according to the comfort level evaluation result and the flow field analysis result, simulation optimization is conducted on the air conditioner air outlet grating blades, and an optimal grating blade angle combination is obtained. According to the method, comprehensive simulation analysis can be conducted on the formed flow field in combination with the in-vehicle environment structure and the air conditioner air outlet blade angle, comfort level evaluation is conducted on the posture of a user, the optimal blade control scheme is rapidly simulated according to the evaluation result, intelligent and flexible control over the in-vehicle temperature is improved, and the control efficiency is improved. And the riding experience of the user is greatly improved.

Description

Technical Field

[0001] The present invention relates to the field of automobile intelligent control technology, and in particular to a control optimization method, system, medium and equipment for automobile air-conditioning outlets. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] In modern automotive design, air conditioning systems are a crucial component for enhancing driving comfort, and their air vent design is particularly critical. As consumers' demands for automotive air conditioning comfort continue to rise, constructing and analyzing the flow field of air vent blades has become a key step in optimizing air conditioning performance. The head, a key part of the human body for heat dissipation, is extremely sensitive to temperature fluctuations. Proper air vent design can accelerate sweat evaporation, remove heat, stimulate nerves, and alleviate discomfort caused by the heat, thereby improving driving comfort and the passenger experience. However, current technologies for constructing and analyzing the flow field of automotive air conditioning vent blades have many shortcomings.

[0004] Traditional passenger compartment face flow field analysis methods usually only perform simulation analysis on five states: the grille blades are at their maximum opening and at the upper, lower, left, and right extremes. Although this analysis method can provide basic flow field data to a certain extent, in actual usage scenarios, users often adjust the blades to blow towards their faces for purposes such as rapid cooling. At this time, the direction of the airflow is often affected by in-car structures such as the steering wheel and large screen, resulting in the airflow not being able to accurately blow to the face, or the wind speed is too low when it blows to the face, making it impossible to achieve a rapid cooling effect. These problems are difficult to fully identify by analyzing only the five conventional blade states, making it impossible to accurately assess the user's comfort.

[0005] Furthermore, existing flow field construction and analysis technologies are unable to quickly generate control and adjustment plans for air outlet blades based on user comfort assessment results. This means that even if problems are identified, timely and effective optimization and improvement cannot be implemented, significantly reducing efficiency and hindering the overall performance of automotive air conditioning systems. Especially during hot summers and in tropical markets, the accumulation of hot air caused by improper air outlet design can cause discomfort such as eye fatigue and dryness, leading to user complaints and seriously affecting driving comfort and the overall passenger experience.

[0006] In summary, the construction and analysis of the dynamic field of the air-conditioning outlet blades in existing automobiles is not comprehensive and accurate enough. It is impossible to accurately evaluate user comfort, nor can it quickly simulate and generate control adjustment plans for the air-conditioning blades based on the user comfort assessment results. This has become a key technical bottleneck restricting the improvement of automobile air-conditioning comfort. It urgently needs to be solved through innovative technical methods to meet consumers' growing comfort needs and enhance the market competitiveness of automobile products. Summary of the Invention

[0007] In response to the shortcomings of the existing technology, the purpose of the present invention is to provide a control optimization method, system, medium and equipment for automobile air-conditioning outlets, which can comprehensively simulate and analyze the flow field formed by combining the in-vehicle environment structure and the angle of the air-conditioning outlet blades, and perform comfort evaluation based on the user's posture. According to the evaluation results, the optimal blade control scheme can be quickly simulated, thereby improving the intelligence and flexibility of the in-vehicle temperature control and greatly enhancing the user's riding experience.

[0008] In order to achieve the above object, the present invention is implemented through the following technical solutions: A first aspect of the present invention provides a method for optimizing the control of an air outlet of an automobile air conditioner, comprising the following steps: Obtain the structural parameters of the grille blades of the vehicle's air conditioning outlets. Based on these parameters and the vehicle's interior environment, analyze the flow field of the air conditioning outlets. First, analyze the flow field of each grille blade individually, then analyze the overall flow field of all air conditioning outlets. Obtain the user's facial posture data and evaluate the user's comfort based on the flow field analysis results; Based on the comfort evaluation results and flow field analysis results, the air-conditioning outlet grille blades are simulated and optimized to obtain the optimal grille blade angle combination.

[0009] A second aspect of the present invention provides a control optimization system for an automobile air-conditioning outlet, comprising: A flow field analysis module is configured to obtain the structural parameters of the grille blades of the vehicle air conditioner outlet and perform flow field analysis on the air conditioner outlet based on the structural parameters of the grille blades and the interior environment structure. The flow field of each air conditioner outlet grille blade is first analyzed individually, and then the total flow field formed by all air conditioner outlets is analyzed overall. a comfort evaluation module configured to obtain facial posture data of the user and evaluate the user's comfort based on flow field analysis results; The air conditioning control optimization module is configured to simulate and optimize the grille blades of the air conditioning outlet based on the comfort evaluation results and flow field analysis results to obtain the optimal grille blade angle combination.

[0010] A third aspect of the present invention provides a computer-readable storage medium storing a computer program, which is suitable for being loaded by a processor and executing the steps in the control optimization method for the automobile air-conditioning outlet as described in the first aspect of the present invention.

[0011] A fourth aspect of the present invention provides a computer device, comprising: a processor adapted to execute a computer program; A computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the control optimization method for the automobile air-conditioning outlet as described in the first aspect of the present invention is implemented.

[0012] One or more of the above technical solutions have the following beneficial effects: This invention discloses a control optimization method, system, medium, and device for automotive air conditioning vents. By analyzing the air conditioning vent grille blades from a local to global perspective, and considering the influence of the vehicle's internal structure on the flow field, this method achieves a comprehensive analysis of the flow field at the automotive air conditioning vents, providing a solid data foundation for user comfort assessment. The invention also simulates the airflow of the air conditioning vent grille blades through simulation, using user comfort as an evaluation metric to determine the optimal angle setting for each grille blade. This improves the intelligent and flexible control of in-vehicle temperature, significantly enhancing the user experience.

[0013] The present invention introduces an automated simulation tool applet, which can quickly perform a large number of solution calculations in a short period of time, improving work efficiency, while ensuring the consistency of the model and data, and avoiding the problem of non-convergence of calculations caused by errors in the setting of volume grids, boundary conditions, etc.

[0014] This invention details the specific definition and evaluation method of the ETA indicator to ensure scientific and accurate comfort assessment. If comfort levels fall short of the target, the blade angle is adjusted to ensure design flexibility and comfort. User feedback is collected during the actual vehicle test phase to further refine the design and ensure it meets actual user needs.

[0015] The method of the present invention takes into account the influence of the vehicle interior structure on the flow field. By analyzing the blocking effect of the steering wheel on the airflow and the reflection effect of the large screen on the airflow, the design of the air outlet position and angle is optimized. The genetic algorithm is combined with the comfort evaluation results and the flow field analysis results to achieve the optimization of the blade angle combination, thereby improving the intelligence and flexibility of air-conditioning control.

[0016] Advantages of additional aspects of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0018] Figure 1 This is a flow chart of a method for optimizing the control of an air outlet of an automobile air conditioner in a first embodiment of the present invention; Figure 2 This is a schematic diagram of the circular surface of the grille blade rotation axis in the first embodiment of the present invention; Figure 3 Schematic diagram of ETA area division in embodiment 1 of the present invention. DETAILED DESCRIPTION

[0019] It should be noted that the following detailed descriptions are exemplary and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which the present invention belongs.

[0020] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or their combinations; The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0021] Example 1: The first embodiment of the present invention provides a control optimization method for automotive air conditioning vents. Based on actual user scenarios, the Eye Target Area (ETA) method is introduced to evaluate the airflow impact of the vents on the passenger's face, particularly the eye area. An automated mini-program improves work efficiency, enabling batch calculations of blades at different rotation angles within a short period of time. A specific comfort evaluation process and indicator setting principles are also proposed to ensure the scientific and rational design. Finally, the impact of the interior structure on the flow field is analyzed in detail, and the vent design is optimized using a genetic algorithm based on the comfort evaluation results.

[0022] like Figure 1 As shown, the specific steps include: S1: Obtain the structural parameters of the grille blades at the air outlet of the automobile air conditioner, and perform flow field analysis on the air outlet of the air conditioner based on the structural parameters of the grille blades and the interior environment structure.

[0023] S101: Obtain structural parameters of the air outlet grille blades of the automobile air conditioner, perform simulation modeling on the structural parameters of the air outlet grille blades, and establish a blowing surface flow field analysis model.

[0024] In a specific embodiment, the structure of the grille blades on the blowing surface of the automobile air-conditioning outlet is as follows: Figure 2 As shown, the vehicle air conditioner includes multiple air outlets, such as a side driver's seat air outlet, a center driver's seat air outlet, a side passenger seat air outlet, and a center passenger seat air outlet. The grille vanes of each air outlet include inner and outer vanes. In this embodiment, the outer vanes include outer vanes 1, outer vanes 2, and outer vanes 3. The inner vanes include inner vanes 1, inner vanes 2, inner vanes 3, and inner vanes 4.

[0025] The inner and outer blades of this embodiment are directly exposed to the vehicle interior and can be seen directly by passengers. They serve a decorative purpose and also adjust the direction of the airflow on the face. In the design state (that is, the maximum opening state mentioned at the beginning), the grille blades usually do not blow the air to the torso and head of the passengers. In this case, the wind can be adjusted to blow directly on the passengers by adjusting the angles of the inner and outer blades by using a dial on the outer blades or directly using a motor. The inner blades are generally responsible for adjusting the airflow on the face to the left and right, while the outer blades are responsible for adjusting the air up and down. Some models also have inner blades for adjusting up and down, while the outer blades are responsible for adjusting left and right. In addition, some models only have outer blades, which can achieve the functions of adjusting up, down, left, and right at the same time. The present invention uses the inner blades adjusting the left and right airflow direction and the outer blades adjusting the up and down airflow direction as an example.

[0026] Based on the STAR-CCM+ Part modeling method, a complete blowing surface flow field analysis model is established, and it is ensured that each grille blade of the blowing surface is not connected to the air outlet shell, connecting rod mechanism, etc., so as to ensure that there is no interference or similar mesh quality issues with the surrounding parts after the automatic rotation of the blade. The blade rotation coordinate axis creation method is used to automatically extract the circular surface on the rotation axis according to the blade geometric characteristics. Figure 2As shown, based on the geometric characteristics of the grille blades, the circular surfaces on both sides of the blade rotation axis are extracted, and the circular surfaces on each blade rotation axis are divided into in and out. The automation applet automatically identifies the center of the in and out circular surfaces, and creates surfaces in the direction from in to out and puts them into a new part. The subsequent automation program automatically creates the corresponding rotation coordinate axes of all blades from the direction from in to out. In this embodiment, the upper circular surface of the inner blade rotation axis is set as in, the lower circular surface is set as out, and the left circular surface of the outer blade rotation axis is set as in, and the right circular surface is set as out. There are about 40 blades in the blowing surface flow field analysis process, and the rotation coordinate axis of each blade is different. The method of this embodiment can effectively save the time of manually creating the blade rotation coordinate axis.

[0027] S102: Perform flow field analysis on the air conditioner's airflow according to the structural parameters of the grille blades and the interior environment structure.

[0028] Among them, the flow field of the grille blades of each air-conditioning outlet is first analyzed separately, and then the total flow field formed by all air-conditioning outlets is analyzed as a whole.

[0029] In a specific embodiment, an automated applet is run to standardize the naming of the model, generate the rotation coordinate axis of each blade, and a CSV table file (which can fill in the blade rotation angles in batches for subsequent automatic blade rotation and simulation calculations).

[0030] Specifically, in STAR-CCM+, run the naming automation applet to standardize the model naming to ensure that subsequent automation steps can proceed normally. This automation applet automatically generates the rotation coordinate axis for each blade based on the blade rotation axis circular surface. It automatically separates each grille blade into a separate part to facilitate subsequent automatic blade angle rotation. It also automatically generates a CSV spreadsheet file based on the grille blade naming rules. All cases (blade rotation angles) to be calculated can be entered into this spreadsheet for subsequent batch calculations.

[0031] During the flow field analysis, the flow field of each air conditioning vent's grille blades is first analyzed separately. For each air conditioning vent's grille blades, this embodiment takes into account the impact of in-vehicle structures such as the steering wheel and large screen on the airflow. Through CFD simulation, the air outlet design is optimized to ensure that the airflow can effectively cover the passenger's face and avoid the accumulation of hot air. Taking the steering wheel as an example, the blocking effect of the steering wheel on the airflow is calculated using the following formula: .

[0032] Where ζ represents the dimensionless steering wheel obstruction factor, ranging from 0 to 1, with larger values ​​indicating greater obstruction. Aface represents the effective windshield area of ​​the driver's face, typically the projection from the nose tip to the forehead. Asteering represents the projected obstruction area of ​​the steering wheel on the airflow path at the air outlet. Re is the Reynolds number, which represents the ratio of the inertial force to the viscous force of the airflow.

[0033] Next, the overall flow field formed by all air conditioning vents is analyzed, taking into account the effects of airflow superposition and interference. Specifically, a comprehensive 3D model of the entire vehicle interior is created in CFD software, including information such as the location and structure of all air conditioning vents and the interior structure. The flow field results for each individual air conditioning vent are imported into the overall 3D model, and boundary conditions are set. These boundary conditions include velocity, turbulence, and pressure. Velocity boundary conditions include wind speed magnitude and direction, which can be determined based on actual design or experimental data. Turbulence boundary conditions involve setting turbulence model parameters (such as turbulent kinetic energy and turbulent dissipation rate). Pressure boundary conditions are set at outlets within the vehicle interior (such as windows and door gaps), typically at constant pressure or set based on actual conditions. In the CFD software, the entire vehicle interior is meshed to ensure that the mesh covers all air vents and the interior structure. Simultaneously, airflow simulation is initiated for all vents. The software automatically calculates the airflow propagation path within the vehicle from each vent, taking into account mutual interference between airflows.

[0034] The specific method to consider the mutual interference between airflows is: Construct the fluid mechanics equations and turbulence model equations of the total flow field in the car. Turbulence models (such as the k-ε model, k-ω model, etc.) are used to describe the turbulent characteristics of the airflow. Since the airflow at the air outlet is usually in a turbulent state, the total flow field in the car is described by constructing a turbulence model. Fluid mechanics equations include continuity equations, momentum equations, and energy equations. This embodiment uses existing dynamic algorithms to construct fluid mechanics equations and turbulence model equations, which belongs to the prior art and will not be repeated here. When multiple air-conditioning outlets are working at the same time, the airflows will overlap or interfere with each other. The CFD software automatically calculates the interactions between the airflows by solving the fluid mechanics equations and turbulence model equations.

[0035] Optimizing the air outlet position based on the steering wheel's obstruction factor and the flow field simulation results with the grille blades at different rotation angles can reduce the steering wheel's influence on the flow field. By analyzing the reflection effect of the large screen on the airflow when the grille blades are at different angles, the angle and position of the air outlet housing can be simulated and optimized to reduce the impact of reflection on the airflow direction.

[0036] S2: Obtain the user's facial posture data and evaluate the user's comfort based on the flow field analysis results.

[0037] In a specific implementation, this embodiment provides a method for positioning an ETA surface, such as Figure 3 As shown in the figure, using the Seat Reference Point (SgRP) as a reference, the Body Target Area (BTA), Eye Target Area (ETA), and Tear Target Area (TTA) are determined, where BTA = ETA + TTA. The Eye Target Area (ETA) metric is used to assess the airflow impact of air conditioning vents on the passenger's face, particularly the eye area. The ETA metric not only considers air speed but also temperature distribution and airflow uniformity, ensuring a comfortable passenger experience under all driving conditions.

[0038] First, create the ETA surface in the X direction according to the ETA definition. Create six 100mm x 100mm surfaces at X = 20mm in front of the dummy's nose to measure the average and minimum wind speeds.

[0039] Next, we calculated the average wind speed (1.8m / s-2.3m / s) and the minimum wind speed on a single surface (≥0.7m / s) across the ETA surface. We also used transient simulation to calculate the temperature decay time from the air outlet to the surface (≤1.5s) to ensure rapid cooling. We also used wind speed cloud maps to assess airflow uniformity and ensure even wind speed distribution across all surfaces.

[0040] Comfort is assessed based on calculated results of wind speed, temperature distribution, and airflow uniformity. During the actual vehicle test phase, a high-precision anemometer is used to perform a nine-point scan to measure wind speed on the ETA surface, and an infrared thermal imager is used to measure temperature distribution. The simulation results are then compared with the measured values ​​to verify the accuracy of the simulation model, ensuring an error of less than 3%. Users are also invited to participate in subjective evaluations to collect feedback and further improve the design.

[0041] The ETA surface positioning method of this embodiment simply creates six 100mm×100mm connected surfaces at any X-axis position in the passenger compartment, referring to the ETA definition. The 1.8m dummy nose is then placed separately on one surface. The subsequent automated mini-program automatically translates the center point of the entire ETA surface to a position approximately 20mm forward in the X direction and 36mm upward in the Z direction from the dummy nose tip based on the dummy nose surface, effectively saving the time of manually moving the ETA surface to the desired location. The system automatically generates ETA derivative surfaces and establishes ETA wind speed statistics. It also automatically creates a new scene to create a wind speed cloud map at the breathing point 20mm in front of the dummy nose. It also automatically sets the volume mesh and boundary conditions.

[0042] The introduction of ETA improves the evaluation method for air outlet design. This embodiment automatically enters the average wind speed of six connected ETA facets and the wind speed cloud map at the breathing point 20mm in front of the dummy's nose into the simulation report. The total average wind speed and minimum average wind speed of the six facets are used to determine comfort. The uniformity of the wind speed distribution of the six ETA facets in the breathing point wind speed cloud map is also used to determine whether the blade angle needs to be adjusted. Finally, the number of cases that meet the target requirements and the rotation angle range of the blowing grille blades can be used to determine whether the blades can be easily adjusted to blow towards the face during actual user use.

[0043] This invention utilizes an automated mini-program to rapidly perform numerous calculations in a short period of time, improving work efficiency while also avoiding non-convergence issues caused by incorrectly configured volume meshes and boundary conditions. Furthermore, the invention incorporates the ETA metric to improve the evaluation method for face-to-face air vents, making it more tailored to actual user needs and enabling more appropriate early-stage air vent designs, enhancing user experience and comfort.

[0044] Finally, the sim model and CSV spreadsheet file are submitted to the cloud computing platform, and the required results are returned. An automated mini-program is used to automatically generate a result report, and the ETA indicator is used to help determine the rationality of the air outlet design. The returned results include ETA wind speed statistics for all simulation scenarios, a wind speed cloud map at the breathing point X = 20mm in front of the dummy's nose, blade rotation angles, and a sim model with the results. An automated mini-program is used to automatically generate a result report for the returned results other than the sim model. Based on the simulation results, it is determined whether there are any solutions that meet the target ETA wind speed. The number of solutions that meet the target and the range of blade rotation angles are used to determine whether the user can easily adjust the blades to blow directly at the user during use, thereby supporting the early stages of air outlet design.

[0045] S3: Based on the comfort evaluation results and flow field analysis results, the air conditioner outlet grille blades are simulated and optimized to obtain the optimal grille blade angle combination.

[0046] This embodiment uses a genetic algorithm to simulate and optimize the air conditioner outlet grille blades. The specific steps include: The grille blade angles at each air outlet are used as optimization variables. A set of blade angle combinations is randomly generated, each called an "individual" or "particle." CFD simulations are performed on each individual (blade angle combination) to obtain airflow distribution, temperature field, and comfort metrics. Based on the simulation results, the fitness value of each individual is calculated. The fitness function is constructed based on the comfort assessment results and flow field analysis results. A higher fitness value indicates a better blade angle combination. Based on the fitness value, the individual with the higher fitness value is selected to advance to the next generation. Two excellent individuals are randomly selected and their blade angle information is partially exchanged to generate a new individual. Random mutation is performed on the newly generated individuals, changing some of the blade angles to maintain population diversity and prevent the algorithm from falling into a local optimum. Each particle records its own optimal position (individual optimal solution). All particles share the global optimal solution, which is the individual with the highest fitness in the entire population. Based on the individual and global optimal solutions, the blade angle of each particle is adjusted, and a new blade angle combination is generated by combining its own velocity and random factors. The newly generated population is re-simulated with CFD simulations and fitness evaluation. Determine whether the preset number of iterations or fitness convergence threshold has been reached. If not, continue optimization. Select the individual with the highest fitness from the final population as the optimal blade angle combination.

[0047] In some implementation examples, the cooling rate of the air outlet optimized by the method of the present invention can reach 5.8°C / min, which is 81% higher than the traditional method; the wind speed uniformity can be reduced to 15%, which is 46% higher than the traditional method; the PMV index can reach -0.5, while the traditional method is +1.5, which can significantly improve the comfort.

[0048] Example 2: A second embodiment of the present invention provides a control optimization system for an automobile air-conditioning outlet, comprising: A flow field analysis module is configured to obtain the structural parameters of the grille blades of the vehicle air conditioner outlet and perform flow field analysis on the air conditioner outlet based on the structural parameters of the grille blades and the interior environment structure. The flow field of each air conditioner outlet grille blade is first analyzed individually, and then the total flow field formed by all air conditioner outlets is analyzed overall. a comfort evaluation module configured to obtain facial posture data of the user and evaluate the user's comfort based on flow field analysis results; The air conditioning control optimization module is configured to simulate and optimize the grille blades of the air conditioning outlet based on the comfort evaluation results and flow field analysis results to obtain the optimal grille blade angle combination.

[0049] Example 3: Embodiment 3 of the present invention provides a computer-readable storage medium storing a computer program, which is suitable for being loaded by a processor and executing the steps of the control optimization method for the automobile air-conditioning outlet as described in embodiment 1 of the present invention.

[0050] Example 4: A fourth embodiment of the present invention provides a computer device, comprising: a processor adapted to execute a computer program; A computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the steps of the control optimization method for the automobile air-conditioning outlet as described in the first embodiment of the present invention are implemented.

[0051] The steps involved in the above embodiments 2, 3 and 4 correspond to those in the method embodiment 1. For the specific implementation methods, please refer to the relevant description part of the embodiment 1.

[0052] Those skilled in the art will appreciate that the units and algorithmic steps of each example described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional technical personnel may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application. In the above embodiments, all or part of the embodiments can be implemented using software, hardware, firmware, or any combination thereof. When implemented using software, all or part of the embodiments can be implemented in the form of a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions according to the embodiments of the present application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted via a computer-readable storage medium. The computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, optical fiber, digital line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer, or a data processing device such as a server or data center that integrates one or more available media. Available media can be magnetic media (e.g., floppy disks, hard disks, tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state drives (SSDs)). The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any technical object of a person skilled in the art that can be easily conceived of within the technical scope disclosed in this application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A control optimization method for automobile air-conditioning outlet, characterized in that: The following steps are involved: Obtain the structural parameters of the grille blades of the vehicle's air conditioning outlets. Based on these parameters and the vehicle's interior environment, analyze the flow field of the air conditioning outlets. First, analyze the flow field of each grille blade individually, then analyze the overall flow field of all air conditioning outlets. Obtain the user's facial posture data and evaluate the user's comfort based on the flow field analysis results; Based on the comfort evaluation results and flow field analysis results, the air-conditioning outlet grille blades are simulated and optimized to obtain the optimal grille blade angle combination.

2. The control optimization method for the air outlet of an automobile air conditioner according to claim 1, characterized in that: The automobile air conditioner includes a plurality of air outlets, and the grille blades of each air outlet include inner blades and outer blades.

3. The control optimization method for the air outlet of an automobile air conditioner according to claim 1, characterized in that: The structural parameters of the grille blades of the automobile air-conditioning outlet are obtained, and the structural parameters of the grille blades of the air outlet are simulated and modeled, and a blowing surface flow field analysis model is established to ensure that each grille blade on the blowing surface is not connected to the air outlet housing, connecting rod mechanism, etc.

4. The control optimization method for the air outlet of an automobile air conditioner according to claim 3, characterized in that: The specific steps to establish the blowing surface flow field analysis model are: Based on the geometric characteristics of the grille blades, the circular surfaces on both sides of the blade rotation axis are extracted, and the circular surfaces on each blade rotation axis are divided into in and out. The automation applet automatically identifies the center of the in and out circular surfaces, and creates surfaces in the direction from in to out and puts them into a new part. The automation program automatically creates the rotation coordinate axes corresponding to all blades from the in to out direction.

5. The control optimization method for automobile air-conditioning outlet according to claim 1, characterized in that: The specific steps for evaluating user comfort based on flow field analysis results are as follows: Create X-direction ETA surface according to ETA definition; Calculate the average wind speed and the minimum wind speed on a single surface through the ETA surface. Calculate the temperature decay time from the air outlet to the face through transient simulation. Evaluate the airflow uniformity through wind speed cloud diagrams. Comfort levels are assessed based on calculations of wind speed, temperature distribution, and airflow uniformity.

6. The control optimization method for the air outlet of the automobile air conditioner according to claim 5, characterized in that: The specific steps of ETA surface positioning include: Create connected surfaces at any X-axis position in the passenger compartment according to the ETA definition; Place the dummy nose on a separate surface; The automated applet automatically translates the center point of the entire ETA surface according to the surface of the dummy's nose.

7. The control optimization method for the air outlet of an automobile air conditioner according to claim 1, characterized in that: Genetic algorithm is used to simulate and optimize the air conditioner outlet grille blades.

8. A control optimization system for automobile air-conditioning outlet, characterized in that: include: A flow field analysis module is configured to obtain the structural parameters of the grille blades of the vehicle air conditioner outlet and perform flow field analysis on the air conditioner outlet based on the structural parameters of the grille blades and the interior environment structure. The flow field of each air conditioner outlet grille blade is first analyzed individually, and then the total flow field formed by all air conditioner outlets is analyzed overall. a comfort evaluation module configured to obtain facial posture data of the user and evaluate the user's comfort based on flow field analysis results; The air conditioning control optimization module is configured to simulate and optimize the grille blades of the air conditioning outlet based on the comfort evaluation results and flow field analysis results to obtain the optimal grille blade angle combination.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and the computer program is suitable for being loaded by a processor and executing the control optimization method for the automobile air-conditioning outlet according to any one of claims 1 to 7.

10. A computer device, characterized in that: include: a processor adapted to execute a computer program; A computer-readable storage medium having a computer program stored therein, wherein when the computer program is executed by the processor, the control optimization method for the automobile air-conditioning outlet according to any one of claims 1 to 7 is implemented.

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