CN118194756A - Vehicle-mounted air conditioner grille breathing surface speed optimization method, system and storage medium - Google Patents
Vehicle-mounted air conditioner grille breathing surface speed optimization method, system and storage medium Download PDFInfo
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Abstract
The invention discloses a vehicle-mounted air conditioner grille breathing surface speed optimization method, a system and a storage medium, wherein the method comprises the steps of establishing a whole vehicle three-dimensional model comprising grille blades of a breathing surface, wherein the grille blades are in independent rotation states, and establishing a motion parameterization model according to the grille blades; establishing a CFD simulation basic model of the breathing surface speed according to the motion parameterized model, and performing steady-state CFD calculation on the CFD simulation basic model; sampling according to the steady-state CFD calculation result to establish a DOE matrix, and establishing a response surface model by utilizing a radial basis function according to the DOE matrix; judging whether the precision of the response surface model meets the standard, and if the precision of the response surface model meets the standard, performing pareto optimization analysis on the response surface model; and obtaining a pareto curve according to the pareto optimization analysis, obtaining an optimal point by screening the pareto curve, and verifying the result of the optimal point.
Description
Technical Field
The invention relates to the technical field of automobile air conditioners, in particular to a vehicle-mounted air conditioner grille breathing surface speed optimization method, a vehicle-mounted air conditioner grille breathing surface speed optimization system and a storage medium.
Background
Automobiles become an indispensable transportation means in daily life, and the maximum refrigerating capacity of an automobile air conditioner is a key performance of the automobile air conditioner, so that the perception experience of passengers is directly affected; the speed of the breathing surfaces at the primary and secondary driving sides is one of control targets for developing the air conditioning performance of the digital sample car, directly influences whether the refrigerating performance of the air conditioner can meet the thermal performance attribute targets, and is important for developing the whole air conditioning attribute;
According to the method for calculating the speed of the breathing surface in the prior art, the angle of the grid blades of each air outlet is manually adjusted, the speed and the direction of the breathing surface are changed, flow field calculation is carried out, and then a better scheme capable of achieving the target speed is compared; the existing optimal design method has long period, low efficiency and complicated iteration, a good result cannot be obtained through long-time iteration, a large amount of calculation resources are wasted, the traditional scheme has high requirements on engineering skills, the optimized speed result is not an optimal result, and the requirements on the thermal comfort of the air conditioner of the passenger cabin, which are increasingly severe, cannot be matched.
Disclosure of Invention
The invention aims to solve the technical problems of poor optimization result caused by long period, low efficiency and complicated iteration of the respiratory surface speed optimization method in the prior art. Therefore, the invention provides a vehicle-mounted air conditioner grille breathing surface speed optimization method, a vehicle-mounted air conditioner grille breathing surface speed optimization system and a storage medium.
According to an embodiment of the first aspect of the invention, a method for optimizing the breathing surface speed of a grille of an on-board air conditioner includes,
Establishing a whole vehicle three-dimensional model comprising a breathing surface grating blade, wherein the grating blade is in an independent state, and establishing a motion parameterization model according to the grating blade;
Establishing a CFD simulation basic model for solving the respiratory surface speed according to the motion parameterized model, and performing steady-state CFD calculation on the CFD simulation basic model;
Sampling according to the steady-state CFD calculation result to establish a DOE matrix, and establishing a response surface model by utilizing a radial basis function according to the DOE matrix;
judging whether the precision of the response surface model meets the standard, and if the precision of the response surface model meets the standard, performing pareto optimization analysis on the response surface model;
And obtaining a pareto curve according to the pareto optimization analysis, obtaining an optimal solution by screening the pareto curve, and verifying the result of the optimal solution.
According to the vehicle-mounted air conditioner grille breathing surface speed optimization method, firstly, relevant parameters of a target vehicle are input into simulation modeling software, a three-dimensional model of the target vehicle is built through the simulation modeling software, an independent rotation model of a grille blade of the breathing surface of the vehicle-mounted air conditioner of the target vehicle is built, and the motion parameterization model capable of enabling the grille blade to move is built through the independent rotation model of the grille blade; after the motion parameterized model is obtained, a CFD simulation basic model for solving the speed of the breathing surface is established according to the motion parameterized model and fluid simulation software, and steady-state CFD calculation is performed through the CFD simulation basic model; obtaining a steady-state CFD calculation result data sample, sampling the CFD calculation result data sample, establishing a DOE matrix according to the sampling result, and establishing a response surface model by using a radial basis function according to the DOE matrix after obtaining the DOE matrix; after the response surface model is obtained, performing pareto optimization analysis on the response surface model with the standard of accuracy verification by performing accuracy verification on the response surface model, and obtaining a pareto curve according to the pareto analysis; and after the pareto curve is obtained, screening the optimal points of the discrete distribution points in the pareto curve, carrying out steady-state CFD calculation on the optimal points through fluid simulation software again, and if the calculation result is qualified, indicating that the obtained optimal solution in the pareto curve is the final optimization result.
According to some embodiments of the invention, the whole vehicle three-dimensional model comprises a passenger cabin model, a heating ventilation air conditioning model and a breathing surface air duct geometric model, wherein the grille blades comprise transverse grille blades and vertical grille blades; when the passenger cabin model, the heating ventilation air conditioning model and the breathing surface air duct geometric model are established and used for simulating the opening of a vehicle air conditioner, air fluid data in the vehicle are set, and the independent design grille blades comprise transverse grille blades and vertical grille blades, so that the angles of the transverse grille blades and the vertical grille blades of the vehicle air conditioner can be set by the user, and the optimization effect is improved.
According to some embodiments of the invention, the creating a motion parameterized model is specifically,
Setting an angle to the transverse grille blades and the vertical grille blades respectively, rotating the angles to the transverse grille blades and the vertical grille blades respectively, and performing Boolean subtraction operation to the rotated transverse grille blades, the rotated vertical grille blades and surrounding fluid to obtain the motion parameterized model;
The same angles are respectively arranged on the transverse grille blades and the vertical grille blades to ensure that the rotation angles of all the transverse grille blades are the same, and on the other hand, the rotation angles of all the vertical grille blades are the same, and the rotation of the grille breathing surface under a real scene is simulated; and carrying out Boolean subtraction operation on the transverse grille blades and the vertical grille blades with the rotation angles and surrounding air fluid, wherein the Boolean subtraction operation result is the motion parameterization model.
According to some embodiments of the invention, the CFD simulation base model performs steady-state CFD calculations, specifically,
Performing steady-state CFD calculation on a flow field model in the whole vehicle by using Euler transformation through fluid software STAR-CCM+; obtaining a breathing surface average speed basic value and a breathing surface minimum speed basic value of a main driver and a co-driver, and taking the breathing surface average speed basic value and the breathing surface minimum speed basic value of the main driver and the co-driver as 4 groups of response values; the calculation method of the minimum speed basic value of the breathing surface comprises the steps that the breathing surface of the main driver and the breathing surface of the assistant driver are equally divided into 6 areas, and the minimum value of the average speeds of the 6 areas of the main driver and the assistant driver is respectively calculated;
Dividing the respiratory plane grille blades of the main driver and the auxiliary driver into 6 areas respectively, carrying out steady state CFD calculation on the main driver respiratory plane and the auxiliary driver respiratory plane respectively to obtain 6 speed values through a fluid software STAR-CCM+ by adopting Euler transformation on the flow field model in the whole vehicle, and carrying out average calculation on the obtained 6 speed values to obtain an average speed basic value of the main driver respiratory plane and an average speed basic value of the auxiliary driver respiratory plane, wherein the minimum speed basic value of the main driver respiratory plane is the minimum value of the 6 speed values of the main driver respiratory plane, and the minimum speed basic value of the auxiliary driver respiratory plane is the minimum value of the 6 speed values of the main driver respiratory plane in the same way; and obtaining the average speed basic value and the minimum speed basic value of the breathing surface of the main driver and the co-driver, and taking the average speed basic value and the minimum speed basic value of the breathing surface of the main driver and the co-driver as four groups of response data.
According to some embodiments of the invention, a DOE matrix is built from the steady-state CFD calculation result samples, and a response surface model is built from the DOE matrix using radial basis functions, specifically,
And sampling by using Latin hypercube according to the acquired 4 groups of response values of the primary driving breathing surface and the secondary driving breathing surface to establish a DOE matrix, and establishing a response surface model by using the grating blade angle and the breathing surface speed through a radial basis function.
According to some embodiments of the present invention, the determining whether the accuracy of the response surface model meets the standard, and if the accuracy of the response surface model meets the standard, performing pareto optimization analysis on the response surface model, specifically,
And taking 3 points in a design domain to perform standard matching evaluation on a response surface model and a CFD simulation basic model, if the 3 response points reach the standard, performing pareto optimization analysis on the response surface model, if the 3 response points do not reach the standard, adding samples in the DOE matrix, judging whether the accuracy of the response surface model reaches the standard, and repeating the above processes until the accuracy of the response surface model reaches the standard.
According to some embodiments of the invention, the pareto curve is obtained according to the pareto optimization analysis, an optimal solution is obtained by screening the pareto curve, and a result verification is performed on the optimal solution, specifically,
The optimal point meeting the preset condition in the pareto curve is screened, fluid software STAR-CCM+ is reapplied according to the optimal point, steady-state CFD calculation is carried out on the flow field model in the whole vehicle by adopting Euler transformation, and whether an optimization result is effective is verified; if the verification result is invalid, the sample size in the DOE matrix is required to be increased, the response model and the pareto curve are acquired again, and the optimal point in the pareto curve is screened for verification until the optimal point verification result is valid, and then the optimal solution is output; and if the verification result is valid, directly outputting the optimal solution.
An in-vehicle air conditioning grille breathing surface speed optimization system in accordance with an embodiment of the second aspect of the present invention, the system comprising,
The data input module is used for inputting a whole vehicle parameter model of the target vehicle comprising the respiratory surface grating blades;
The model building module is used for building a corresponding grid motion parameterization model according to the grid blades and building a CFD simulation basic model of the breathing surface speed according to the grid motion parameterization model;
The data processing module is used for carrying out steady-state CFD calculation according to the CFD simulation basic model, sampling the steady-state result to establish a DOE matrix, and establishing a response surface model by utilizing a radial basis function according to the DOE matrix;
The data optimization module is used for judging whether the precision of the response surface model meets the standard or not, making a corresponding decision according to the judgment result, and performing pareto optimization analysis on the response surface model after the standard meets the standard to obtain a pareto curve;
The optimization verification module is used for screening an optimal point set for the pareto curve, performing steady-state CFD calculation on the optimal point set again, and performing corresponding decision according to the calculation result;
And the data output module is used for outputting the pareto curve which is verified to be qualified by the optimization verification module.
According to the vehicle-mounted air conditioner grille breathing surface speed optimization system, firstly, a whole vehicle parameter model of target vehicle protection breathing surface grille blades is input into the system through the data input module, then a grille motion parameterization model of the breathing surface grille is carried out through the model establishment module according to the whole vehicle parameter model, and a CFD simulation basic model of the breathing surface speed is established according to the grille parameterization model; the CFD simulation basic model is sent to the data processing module, after the data processing module receives the CFD simulation basic model, steady-state CFD calculation is carried out according to the CFD simulation basic model, the steady-state CFD calculation result is sampled, a sample is selected to establish a DOE matrix, and a response surface model is established according to the DOE matrix by utilizing a radial basis function; the response surface model is sent to a data optimization module, after the data optimization module receives the response surface model, whether the precision of the response surface model meets the standard is judged according to preset conditions, if the precision of the response surface model meets the standard, pareto optimization analysis is carried out on the response surface model, if the precision of the response surface model DOEs not meet the standard, the number of samples in a DOE matrix is increased, and a new response surface model is built by re-using a radial basis function on the DOE matrix with the increased number of samples until the precision of the response surface model meets the standard; performing pareto optimization analysis on the response surface model with the standard precision to obtain a pareto curve; the pareto curve is sent to an optimization verification module, the optimization verification module screens an optimal solution in the pareto curve after receiving the pareto curve, the optimal point set is selected to perform steady-state CFD calculation again, if the calculation result is within a verification range, the pareto curve is proved to be qualified, if the calculation result is not within the verification range, the sample size in the DOE matrix is required to be increased again, the establishment and the precision verification of a response surface model, the pareto optimization analysis and the verification of the pareto curve are performed again until the pareto curve is within the verification range; and finally, outputting the optimal solution through a data output module.
According to an embodiment of the third aspect of the present invention, a storage medium stores a vehicle-mounted air-conditioning grille breathing surface speed optimization program, and when the vehicle-mounted air-conditioning grille breathing surface speed optimization program is executed by a processor, the vehicle-mounted air-conditioning grille breathing surface speed optimization method according to the embodiment of the first aspect is implemented.
The vehicle-mounted air conditioner grille breathing surface speed optimization method has the following beneficial effects:
(1) The breathing surface speeds of the main driving and the auxiliary driving are rapidly optimized based on the grating blade angles, so that the average speed of the breathing surface of the main driving is optimized by 100%, and the average speed of the breathing surface of the auxiliary driving is optimized by 138%;
(2) By applying the simulation technology, the test verification optimization time is greatly shortened, and the optimization efficiency is improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a vehicle-mounted air conditioner grille breathing surface speed optimization method according to an embodiment of the invention;
FIG. 2 is a vehicle model of a vehicle-mounted air conditioner grille breathing surface speed optimization method according to an embodiment of the invention;
FIG. 3 is a grid blade model of a vehicle-mounted air conditioner grid breathing surface speed optimization method according to an embodiment of the invention;
FIG. 4 is a schematic view of a grid blade angle range of a vehicle-mounted air conditioner grid breathing surface speed optimization method according to an embodiment of the invention;
Fig. 5 is a pareto optimization correlation diagram of a vehicle-mounted air conditioner grille breathing surface speed optimization method according to an embodiment of the invention;
Fig. 6 is a pareto graph of a vehicle-mounted air conditioner grille breathing surface speed optimization method according to an embodiment of the invention;
Fig. 7 is a cloud chart of a breathing surface velocity distribution of a vehicle-mounted air conditioner grid breathing surface velocity optimization method according to an embodiment of the invention.
Detailed Description
The following detailed description of embodiments of the application, with reference to the accompanying drawings, is illustrative of the embodiments described herein, and it is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application.
It will be understood that when an element is referred to as being "fixed to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Example 1
Referring to fig. 1, a method for optimizing the breathing surface speed of a grille of a vehicle-mounted air conditioner comprises the following steps,
Step S100: establishing a whole vehicle three-dimensional model comprising grille blades, and processing the grille blades into independent states;
Further, referring to fig. 2, in order to simulate the surrounding air fluid in the passenger cabin of the whole vehicle, the three-dimensional model of the whole vehicle comprises a passenger cabin model, a heating ventilation air conditioning model and a breathing surface air duct model;
The grille blades are located at the air outlet of the breathing surface air duct, and comprise transverse grille blades and vertical grille blades, and all the grille blades are processed into an independent rotary suspended state, namely 4 groups of air outlets and 36 independent grille blades, as shown in the figure 3.
Step S200: establishing a motion parameterized model capable of realizing the motion of the grille blades;
Further, in order to ensure that the transverse grille blades and the vertical grille blades of the air outlet of the same group of breathing surfaces rotate at the same time, in the same direction and in the same angle, an angle is output to the transverse grille blades of the air outlet of the same group of breathing surfaces, and an angle is also input to the vertical grille blades; similarly, the remaining 3 groups of air outlets of the breathing surfaces are set by the method, and are not described in detail herein; carrying out Boolean subtraction operation on the rotated grille blades and surrounding air fluid, thereby realizing the movement of the grille blades in the simulation model; referring to fig. 4, the input angle is taken as a sample variable, and the change range of the corner sample of the grille blade is determined according to the guiding and breathing surface positions of the grille blade;
Step S300: establishing a CFD simulation basic model for solving the breathing surface speed, and performing steady-state CFD calculation on the CFD simulation basic model;
Further, using fluid software STAR-CCM+, adopting Euler transformation to perform steady-state CFD calculation on the CFD simulation basic model; obtaining a breathing surface average speed basic value and a breathing surface minimum speed basic value of the main driver and the auxiliary driver, and taking the breathing surface average speed basic value and the breathing surface minimum speed basic value of the main driver and the auxiliary driver as 4 groups of response values;
In particular, in order to realize the calculation of the minimum velocity basic value and the average velocity basic value of the breathing plane, the calculation method is that,
Dividing the breathing surface of the main driver and the co-driver into 6 areas, calculating the average speed of the areas of the breathing surface of the main driver in total of 12 areas, taking the minimum average speed value as the minimum speed value of the breathing surface of the main driver, and taking the average value of the average speeds of the 6 areas as the average speed basic value of the breathing surface of the main driver; similarly, the average speed basic value and the minimum speed basic value of the breathing plane of the copilot are the same in solving method, and are not described in detail herein.
Step S400: establishing a DOE matrix according to a steady-state CFD calculation result, and establishing a response surface model according to the DOE matrix;
Further, taking the calculated result of the steady-state CFD solved in the step S300 as a sample variable, sampling by using a latin hypercube method to establish a DOE matrix, and establishing a response surface model by using a radial basis function method with an input variable (grid blade rotation angle) and an output response value (breathing surface speed).
Step S500: judging whether the accuracy of the response surface model meets the standard; if the response surface model meets the standard, performing pareto optimization analysis on the response surface model; if the sample size DOEs not reach the standard, increasing the sample size in the DOE matrix, and jumping to the step S200 to continue the test;
Specifically, referring to table (one), the accuracy verification result of the response surface model is obtained by adding a certain number of samples; taking 3 points in a design domain to perform standard comparison evaluation on a response surface model and a CFD simulation basic model, if the 3 response points reach the standard, referring to FIG. 5, performing Pareto optimization analysis on the response surface model, performing correlation analysis on the response surface model, and determining the relation among all factors; if the 3 response points do not reach the standard, increasing the sample size in the DOE matrix, then re-jumping to the step S200, and when the flow reaches the step again, judging whether the accuracy of the response surface model reaches the standard or not, and repeating the above processes in a circulating way until the accuracy of the response surface model reaches the standard.
Table (one): response surface model accuracy verification result
Step S600: acquiring a pareto curve according to the pareto optimization analysis, obtaining an optimal solution by screening the pareto curve, and verifying the optimal solution; if the verification is qualified, outputting an optimal solution;
further, by screening the optimal points meeting preset conditions in the pareto curve, re-applying the fluid software STAR-CCM+ according to the optimal points, performing steady state CFD calculation on the flow field model in the whole vehicle by using Euler transformation, and verifying whether the optimization result is effective; if the verification result is invalid, increasing the sample size in the DOE matrix, re-jumping to the step S200, obtaining the response model and the pareto curve, screening the optimal point in the pareto curve for verification, and outputting the optimal solution until the optimal point verification result is valid; if the verification result is valid, directly outputting the optimal solution;
Specifically, referring to fig. 6 and fig. 7, values on a curve formed by a point set on the pareto graph are all optimal points, and an optimal solution is obtained by screening the optimal points which simultaneously meet a required target, and in this embodiment, points with target values greater than 1.8m/s are all optimal solutions, so that optimization is completed;
wherein Grille LV, grille LH, GRILLE MLV, GRILLE MLH, GRILLE MRV, GRILLE MRH, grille RV, grille RH represent different eight sets of field functions, referred to as grid blade rotation angles.
Specifically, in the optimal point verification process, the optimal point of screening is applied to a fluid software STAR-CCM+ again, and steady-state CFD calculation is carried out on a flow field model in the whole vehicle by adopting Euler transformation, so that whether an optimization result is effective is verified, and in the embodiment, the average speed of the breathing surface of the main driver in the optimization result is optimized by 100% and the average speed of the breathing surface of the auxiliary driver is optimized by 138% as shown in a table (II);
Table (ii): optimizing results
According to the vehicle-mounted air conditioner grille breathing surface speed optimization method, in order to simulate surrounding air fluid in a passenger cabin of a whole vehicle, a passenger cabin model, a heating ventilation air conditioner model and a breathing surface air duct model are built, gratings positioned at air outlets of the breathing surface air duct are independently built, and transverse grille blades and vertical grille blades are independently modeled, so that the transverse grille blades and the vertical grille blades can rotate independently, and 4 groups of air outlets and 36 independent grille blades are formed; secondly, establishing a motion parameter model capable of enabling the transverse grille blades and the vertical grille blades to rotate; in order to ensure that the transverse grille blades and the vertical grille blades of the same group of breathing surface air outlets rotate at the same time, in the same direction and in the same angle, an angle is output to the transverse grille blades of the same group of breathing surface air outlets, and an angle is also input to the vertical grille blades; similarly, the remaining 3 groups of air outlets of the breathing surfaces are set by the method, and are not described in detail herein; carrying out Boolean subtraction operation on the rotated grille blades and surrounding air fluid, thereby realizing the movement of the grille blades in the simulation model; establishing a CFD simulation basic model for solving the respiratory surface speed, applying fluid software STAR-CCM+, and performing steady-state CFD calculation on the CFD simulation basic model by using Euler transformation; obtaining a breathing surface average speed basic value and a breathing surface minimum speed basic value of the main driver and the auxiliary driver, and taking the breathing surface average speed basic value and the breathing surface minimum speed basic value of the main driver and the auxiliary driver as 4 groups of response values; taking a steady-state CFD calculation result as a sample variable, sampling by a Latin hypercube method to establish a DOE matrix, and establishing a response surface model by using a radial basis function method by using an input variable (grid blade corner) and an output response value (breathing surface speed); judging whether the accuracy of the response surface model meets the standard; if the model DOEs not reach the standard, increasing the sample size in the DOE matrix, jumping to establish a CFD simulation basic model for solving the respiratory surface speed, and performing steady-state CFD calculation on the CFD simulation basic model; if the response surface model meets the standard, performing pareto optimization analysis on the response surface model; the optimal point meeting the preset condition in the pareto curve is screened, fluid software STAR-CCM+ is reapplied according to the optimal point, steady-state CFD calculation is carried out on the flow field model in the whole vehicle by adopting Euler transformation, and whether an optimization result is effective is verified; if the verification result is invalid, increasing the sample size in the DOE matrix, and re-jumping to the process of acquiring the response model and the pareto curve, screening the optimal point in the pareto curve for verification until the optimal point verification result is valid, and outputting the optimal solution; and if the verification result is valid, directly outputting the optimal solution to complete the optimization process.
Example 2
A vehicle-mounted air conditioner grille breathing surface speed optimizing system comprises,
The data input module is used for inputting a whole vehicle parameter model of the target vehicle comprising the respiratory surface grating blades;
The model building module is used for building a corresponding grid motion parameterization model according to the grid blades and building a CFD simulation basic model of the breathing surface speed according to the grid motion parameterization model;
The data processing module is used for carrying out steady-state CFD calculation according to the CFD simulation basic model, sampling a steady-state result to establish a DOE matrix, and establishing a response surface model by utilizing a radial basis function according to the DOE matrix;
The data optimization module is used for judging whether the accuracy of the response surface model meets the standard, making a corresponding decision according to a judgment result, and performing pareto optimization analysis on the response surface model after the standard is met to obtain a pareto curve;
The optimization verification module is used for screening an optimal point set for the pareto curve, performing steady state CFD calculation on the optimal point set again and performing corresponding decision according to a calculation result;
The data output module is used for outputting the pareto curve which is verified to be qualified by the optimization verification module.
According to the vehicle-mounted air conditioner grille breathing surface speed optimization system, firstly, a whole vehicle parameter model of target vehicle protection breathing surface grille blades is input into the system through a data input module, then a grille motion parameterization model of a breathing surface grille is carried out through a model establishment module according to the whole vehicle parameter model, and a CFD simulation basic model of the breathing surface speed is established according to the grille parameterization model; the CFD simulation basic model is sent to the data processing module, after the data processing module receives the CFD simulation basic model, steady-state CFD calculation is carried out according to the CFD basic simulation model, a steady-state CFD calculation result is sampled, a sample is selected to establish a DOE matrix, and a response surface model is established according to the DOE matrix by utilizing a radial basis function; the response surface model is sent to a data optimization module, after the data optimization module receives the response surface model, whether the precision of the response surface model meets the standard is judged according to preset conditions, if the precision of the response surface model meets the standard, pareto optimization analysis is carried out on the response surface model, if the precision of the response surface model DOEs not meet the standard, the number of samples in a DOE matrix is increased, and a new response surface model is built by reusing a radial basis function on the DOE matrix with the increased number of samples until the precision of the response surface model meets the standard; performing pareto optimization analysis on the response surface model with the standard precision to obtain a pareto curve; the pareto curve is sent to an optimization verification module, after the optimization verification module receives the pareto curve, the optimal solution in the pareto curve is screened, the optimal point set is selected to perform steady-state CFD calculation again, if the calculation result is within the verification range, the pareto curve is proved to be qualified, if the calculation result is not within the verification range, the sample size in the DOE matrix is required to be increased again, the establishment and the precision verification of a response surface model, the pareto optimization analysis and the verification of the pareto curve are performed again until the pareto curve is within the verification range; and finally, outputting an optimal solution through a data output module to finish optimization.
Example 3
A storage medium in which a vehicle-mounted air-conditioning grille breathing surface speed optimization program is stored, which when executed by a processor implements a vehicle-mounted air-conditioning grille breathing surface speed optimization method as in embodiment 1.
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the invention.
In the description of the present specification, reference to the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples.
It will be apparent that the described embodiments are only some, but not all, embodiments of the application. Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application for the embodiment. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly understand that the embodiments described herein may be combined with other embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.
Claims (10)
1. A method for optimizing the speed of the breathing surface of a vehicle-mounted air conditioner grille is characterized by comprising the following steps of,
Establishing a whole vehicle three-dimensional model comprising a breathing surface grating blade, wherein the grating blade is in an independent state, and establishing a motion parameterization model according to the grating blade;
Establishing a CFD simulation basic model for solving the respiratory surface speed according to the motion parameterized model, and performing steady-state CFD calculation on the CFD simulation basic model;
Sampling according to the steady-state CFD calculation result to establish a DOE matrix, and establishing a response surface model by utilizing a radial basis function according to the DOE matrix;
judging whether the precision of the response surface model meets the standard, and if the precision of the response surface model meets the standard, performing pareto optimization analysis on the response surface model;
And obtaining a pareto curve according to the pareto optimization analysis, obtaining an optimal solution by screening the pareto curve, and verifying the result of the optimal solution.
2. The vehicle-mounted air conditioner grille respiratory surface speed optimization method according to claim 1, wherein the vehicle three-dimensional model comprises a passenger cabin model, a heating ventilation air conditioner model and a respiratory surface air duct geometric model, and the grille blades comprise transverse grille blades and vertical grille blades.
3. The method for optimizing the breathing surface speed of the vehicle-mounted air conditioner grille according to claim 2, wherein the establishing a motion parameterization model is specifically,
Setting an angle for the horizontal grille blades and the vertical grille blades respectively, rotating the angles for the horizontal grille blades and the vertical grille blades respectively, and performing Boolean subtraction operation on the rotated horizontal grille blades, the rotated vertical grille blades and surrounding fluid to obtain the motion parameterization model.
4. The method for optimizing the breathing surface speed of the vehicle-mounted air conditioner grille according to claim 1, wherein the CFD simulation basic model performs steady-state CFD calculation, specifically,
Performing steady-state CFD calculation on a flow field model in the whole vehicle by using Euler transformation through fluid software STAR-CCM+; obtaining a breathing surface average speed basic value and a breathing surface minimum speed basic value of a main driver and a co-driver, and taking the breathing surface average speed basic value and the breathing surface minimum speed basic value of the main driver and the co-driver as 4 groups of response values; the calculation method of the minimum speed basic value of the breathing surface is that the breathing surface of the main driver and the breathing surface of the assistant driver are equally divided into 6 areas, and the minimum value of the average speeds of the 6 areas of the main driver and the assistant driver is respectively calculated.
5. The method for optimizing the breathing surface speed of a vehicle-mounted air conditioner grille according to claim 4, wherein a DOE matrix is established according to sampling of the steady-state CFD calculation result, and a response surface model is established according to the DOE matrix by utilizing a radial basis function, specifically,
And sampling by using Latin hypercube according to the acquired 4 groups of response values of the primary driving breathing surface and the secondary driving breathing surface to establish a DOE matrix, and establishing a response surface model by using the grating blade angle and the breathing surface speed through a radial basis function.
6. The method for optimizing the breathing surface speed of the vehicle-mounted air conditioner grille according to claim 1, wherein the determining whether the accuracy of the response surface model meets the standard is characterized in that if the accuracy of the response surface model meets the standard, pareto optimization analysis is performed on the response surface model, specifically,
And taking 3 points in a design domain to perform standard matching evaluation on a response surface model and a CFD simulation basic model, if the 3 response points reach the standard, performing pareto optimization analysis on the response surface model, if the 3 response points do not reach the standard, adding samples in the DOE matrix, judging whether the accuracy of the response surface model reaches the standard, and repeating the above processes until the accuracy of the response surface model reaches the standard.
7. The method for optimizing the breathing surface speed of the vehicle-mounted air conditioner grille according to claim 1, wherein the pareto curve is obtained according to the pareto optimization analysis, an optimal solution is obtained by screening the pareto curve, and the optimal solution is subjected to result verification, specifically,
The optimal point meeting the preset condition in the pareto curve is screened, fluid software STAR-CCM+ is reapplied according to the optimal point, steady-state CFD calculation is carried out on the flow field model in the whole vehicle by adopting Euler transformation, and whether an optimization result is effective is verified; if the verification result is invalid, the sample size in the DOE matrix is required to be increased, the response model and the pareto curve are acquired again, and the optimal point in the pareto curve is screened for verification until the optimal point verification result is valid, and then the optimal solution is output; and if the verification result is valid, directly outputting the optimal solution.
8. An on-board air conditioner grille breathing surface speed optimization system incorporating the method of any one of claims 1-7, wherein the system comprises,
The data input module is used for inputting a whole vehicle parameter model of the target vehicle comprising the respiratory surface grating blades;
The model building module is used for building a corresponding grid motion parameterization model according to the grid blades and building a CFD simulation basic model of the breathing surface speed according to the grid motion parameterization model;
The data processing module is used for carrying out steady-state CFD calculation according to the CFD simulation basic model, sampling the steady-state result to establish a DOE matrix, and establishing a response surface model by utilizing a radial basis function according to the DOE matrix;
The data optimization module is used for judging whether the precision of the response surface model meets the standard or not, making a corresponding decision according to the judgment result, and performing pareto optimization analysis on the response surface model after the standard meets the standard to obtain a pareto curve;
The optimization verification module is used for screening an optimal point set for the pareto curve, performing steady-state CFD calculation on the optimal point set again, and performing corresponding decision according to the calculation result;
And the data output module is used for outputting the pareto curve which is verified to be qualified by the optimization verification module.
9. The vehicle-mounted air conditioner grille breathing surface speed optimizing system according to claim 8, wherein the pareto curve is screened for an optimal point set, the optimal point set is subjected to steady state CFD calculation again, and corresponding decision is made according to the calculation result, specifically,
Selecting an optimal point set in the pareto curve according to preset conditions, performing steady state CFD calculation on a flow field model in the whole vehicle by using Euler transformation on the optimal point set through a fluid software STAR-CCM+ embedded in the optimization verification module, and verifying whether an optimization result is effective or not;
If the verification result is valid, the pareto curve is directly output through the data output module;
and if the verification result is invalid, the response model and the pareto curve are re-acquired by increasing the sample size, and the optimal point in the pareto curve is screened for verification until the optimal point verification result is valid, and the pareto curve is output through the data output module.
10. A storage medium, wherein a vehicle-mounted air-conditioning grille breathing surface speed optimization program is stored in the storage medium, and when the vehicle-mounted air-conditioning grille breathing surface speed optimization program is executed by a processor, a vehicle-mounted air-conditioning grille breathing surface speed optimization method according to any one of claims 1 to 7 is implemented.
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