Radiator air inlet quantity simulation method and related equipment

Abstract

The invention discloses a radiator air inlet amount simulation method and related equipment, and relates to the technical field of analogue simulation, the method comprises the following steps: carrying out bench test on a target radiator to obtain test data of the target radiator under different working conditions, the test data comprising a wind speed value, a wind resistance measured value and a radiator core body thickness; performing simulation fitting on the test data through a one-dimensional simulation tool to obtain a wind resistance theoretical value of the target radiator; performing abnormal value optimization on the wind resistance measured value based on the wind resistance theoretical value to obtain a wind resistance optimization value of the target radiator; calculating a damping coefficient of the target radiator based on the wind resistance optimization value, the wind speed value and the thickness of the radiator core body; and performing simulation fitting on the damping coefficient through a three-dimensional simulation tool to obtain air inlet quantity data of the target radiator. According to the invention, through combination of rack testing, data optimization, one-dimensional simulation and three-dimensional simulation, the data accuracy and reliability of the radiator air inlet volume simulation analysis result are ensured.

Description

Technical Field

[0001] The present application relates to the field of simulation technology, and more specifically, to a radiator air intake simulation method and related equipment. Background Art

[0002] With the rapid development of electronic equipment and the automotive industry, heat dissipation has increasingly become a key factor restricting product performance and reliability. As a core component in a thermal management system, the performance of the radiator directly affects the thermal efficiency and service life of the entire system. Therefore, the importance of radiator design is self-evident, and the air intake volume is one of the important indicators for evaluating radiator performance, so its accurate prediction and optimization are particularly important.

[0003] In the related art, the test equipment used in the bench test process may have accuracy errors, such as the limited measurement accuracy of instruments such as anemometers and pressure gauges. There are differences between the bench test environment and the actual working environment. For example, differences in temperature, humidity, air pressure and other factors may cause the test data to be unable to fully reflect the actual performance of the radiator, which will cause certain errors in the test data itself, and then lead to poor accuracy and reliability of the data input during the air intake simulation. That is, the related art has the technical problem of low data accuracy and poor reliability of the radiator air intake simulation analysis results. Summary of the invention

[0004] A series of simplified concepts are introduced in the summary of the invention, which will be further described in detail in the detailed description. The summary of the invention of this application does not mean to attempt to define the key features and essential technical features of the technical solution claimed for protection, nor does it mean to attempt to determine the scope of protection of the technical solution claimed for protection.

[0005] The radiator air intake volume simulation method and related devices provided in the present application can ensure the data accuracy and reliability of the radiator air intake volume simulation analysis results by combining bench testing, one-dimensional simulation optimization and three-dimensional simulation.

[0006] In a first aspect, the present application provides a method for simulating the air intake volume of a radiator, the method comprising: performing a bench test on a target radiator to obtain test data of the target radiator under different working conditions, wherein the test data includes a wind speed value, a measured wind resistance value, and a radiator core thickness; performing simulation fitting on the test data using a one-dimensional simulation tool to obtain a theoretical wind resistance value of the target radiator; based on the theoretical wind resistance value, performing outlier optimization on the measured wind resistance value to obtain an optimized wind resistance value of the target radiator; based on the optimized wind resistance value, the wind speed value, and the radiator core thickness, calculating the damping coefficient of the target radiator; performing simulation fitting on the damping coefficient using a three-dimensional simulation tool to obtain air intake volume data of the target radiator.

[0007] In a feasible implementation manner, based on the theoretical wind resistance value, the measured wind resistance value is optimized for outliers to obtain the optimized wind resistance value of the target radiator, including: traversing and calculating the wind resistance difference between the theoretical wind resistance value and the measured wind resistance value under all test conditions; when the wind resistance difference is not greater than a wind resistance difference threshold, determining the measured wind resistance value as the optimized wind resistance value; when the wind resistance difference is greater than the wind resistance difference threshold, interpolating the outlier wind resistance value to obtain the optimized wind resistance value, wherein the outlier wind resistance value is the measured wind resistance value under a first operating condition, and the first operating condition is a test condition where the wind resistance difference is greater than the wind resistance difference threshold.

[0008] In a feasible implementation manner, the interpolation processing of the wind resistance abnormal value to obtain the wind resistance optimization value includes: interpolation processing of the wind resistance abnormal value according to a wind resistance interpolation calculation equation to obtain the wind resistance optimization value, wherein the wind resistance interpolation calculation equation is: In the formula, y1 is the optimized value of wind resistance under the first working condition, x1 is the wind speed value under the first working condition, x2 is the wind speed value under the second working condition, x3 is the wind speed value under the third working condition, y2 is the measured value of wind resistance under the second working condition, y3 is the measured value of wind resistance under the third working condition, wherein the second working condition and the third working condition are two different test conditions in which the wind resistance difference is greater than the wind resistance difference threshold.

[0009] In a feasible implementation, before interpolating the abnormal wind resistance value according to the wind resistance interpolation calculation equation to obtain the optimized wind resistance value, the radiator air inlet volume simulation method also includes: traversing all the test conditions, and determining the two test conditions whose wind speed values ​​are closest to the wind speed value under the first condition as the second condition and the third condition.

[0010] In a feasible implementation manner, the damping coefficient of the target radiator is calculated based on the optimized wind resistance value, the wind speed value and the radiator core thickness, including: substituting the optimized wind resistance value, the wind speed value and the radiator core thickness into a damping coefficient calculation equation to calculate the damping coefficient of the target radiator, wherein the damping coefficient calculation equation shows that the damping coefficient is positively correlated with the optimized wind resistance value, and is negatively correlated with the radiator core thickness, and the damping coefficient includes a viscous damping coefficient and an inertial damping coefficient.

[0011] In a feasible implementation manner, the damping coefficient calculation equation is: In the formula, p is the optimized wind resistance value, l is the radiator core thickness, x is the wind speed value, a is the basic offset constant, b is the viscous damping coefficient, and c is the inertial damping coefficient.

[0012] In a feasible implementation manner, the damping coefficient is simulated and fitted by a three-dimensional simulation tool to obtain the air intake data of the target radiator, including: importing the damping coefficient and vehicle configuration information into the three-dimensional simulation tool for simulation fitting to obtain the air intake data of the target radiator, wherein the vehicle configuration information includes vehicle speed, ambient temperature and fan speed.

[0013] In the second aspect, the present application also provides a radiator air intake simulation device, comprising: a bench test unit, used to perform a bench test on a target radiator to obtain test data of the target radiator under different working conditions, wherein the test data includes a wind speed value, a measured wind resistance value and a radiator core thickness; a wind resistance theoretical value determination unit, used to perform simulation fitting on the test data through a one-dimensional simulation tool to obtain a theoretical wind resistance value of the target radiator; a wind resistance optimization value determination unit, used to perform outlier optimization on the measured wind resistance value based on the wind resistance theoretical value to obtain a wind resistance optimization value of the target radiator; a damping coefficient determination unit, used to calculate the damping coefficient of the target radiator based on the wind resistance optimization value, the wind speed value and the radiator core thickness; a simulation fitting unit, used to perform simulation fitting on the damping coefficient through a three-dimensional simulation tool to obtain the air intake data of the target radiator.

[0014] In a third aspect, the present application further provides an electronic device, comprising: a memory and a processor, wherein the processor is used to implement the steps of the radiator air intake volume simulation method described in the first aspect when executing a computer program stored in the memory.

[0015] In a fourth aspect, the present application further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the radiator air intake simulation method described in the first aspect.

[0016] In a fifth aspect, the present application also provides a computer program product, including a computer program or computer executable instructions, which, when executed by a processor, implements the radiator air intake simulation method provided in an embodiment of the present application.

[0017] In summary, the present application first performs bench testing on the target radiator to obtain actual test data under different working conditions, thereby ensuring that the input data of the subsequent one-dimensional simulation tool is based on real physical conditions, thereby improving the accuracy and reliability of the subsequent simulation analysis; using the one-dimensional simulation tool to simulate and fit the test data to obtain the theoretical value of wind resistance, and further based on these theoretical values ​​of wind resistance, outlier optimization is performed on the measured wind resistance value, and the abnormal or error data in the test is removed or corrected, thereby obtaining a more accurate wind resistance optimization value, effectively improving the data quality, ensuring that the measured wind resistance value is more reasonable, and avoiding data deviations caused by test errors or other unforeseen factors, thereby improving the accuracy of subsequent damping coefficient calculations; and then using a three-dimensional simulation tool to simulate and fit the calculated damping coefficient, it can more accurately simulate the actual working environment and fluid dynamics characteristics of the radiator, thereby obtaining more accurate air intake data. In summary, the radiator air intake simulation method provided by the present application ensures the data accuracy and reliability of the radiator air intake simulation analysis results by combining bench testing, one-dimensional simulation optimization and three-dimensional simulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present specification. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0019] Figure 1 A schematic diagram of a flow chart of a method for simulating the air intake volume of a radiator provided in an embodiment of the present application;

[0020] Figure 2 A data diagram of the theoretical value of wind resistance and the measured value of wind resistance provided in the embodiment of the present application;

[0021] Figure 3 A schematic diagram of the composition structure of a radiator air inlet volume simulation device provided in an embodiment of the present application;

[0022] Figure 4A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "is" and "has" and any variations thereof involved in the present application are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0024] The term "module" or "unit" in this application refers to a computer program or a part of a computer program that has a predetermined function and works together with other related parts to achieve a predetermined goal, and can be implemented in whole or in part by using software, hardware (such as processing circuits or memories) or a combination thereof. Similarly, a processor (or multiple processors or memories) can be used to implement one or more modules or units. In addition, each module or unit can be part of an overall module or unit that includes the function of the module or unit.

[0025] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. In the following description, it is related to "some embodiments", which describes a subset of all possible embodiments, but it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict.

[0026] See also Figure 1 , Figure 1 1 is a flow chart of a method for simulating the air flow rate of a radiator provided in an embodiment of the present application. The method may specifically include the following steps 101 to 105:

[0027] Step 101, performing a bench test on a target radiator to obtain test data of the target radiator under different working conditions, wherein the test data includes a wind speed value, a measured wind resistance value, and a radiator core thickness;

[0028] Specifically, the target radiator refers to the specific radiator selected as the object for air intake simulation; in automobiles or other systems that require heat dissipation, the radiator is a key component for transferring heat; the target radiator can be a newly designed radiator, a radiator that needs to be improved, or a radiator that performs poorly in a specific application. Bench testing refers to the performance testing of the target radiator using dedicated test equipment (bench) in a laboratory environment; different operating conditions (such as different wind speed values) can be set during the test to simulate the working environment of the target radiator in actual applications. The wind speed value refers to the air flow rate through the vents of the target radiator during the test; the measured wind resistance value refers to the resistance encountered by the air when flowing through the target radiator actually measured in the bench test; the radiator core thickness refers to the thickness of the core part used for heat exchange inside the target radiator.

[0029] Through step 101, it is ensured that the input data of the subsequent one-dimensional simulation tool is based on real physical conditions, thereby improving the accuracy and reliability of the subsequent simulation analysis.

[0030] Step 102, performing simulation fitting on the test data by using a one-dimensional simulation tool to obtain a theoretical value of wind resistance of the target radiator;

[0031] Specifically, a one-dimensional simulation tool refers to a computer program used to simulate and calculate fluid dynamics and heat transfer processes. It is usually based on the one-dimensional flow assumption, that is, the fluid flow characteristics change in one direction and remain unchanged in other directions; the one-dimensional simulation tool in the embodiment of the present application can use the multi-physics field simulation software platform GT-Suite. The one-dimensional simulation tool can be used to perform multiple iterative calculations based on the input test data, adjust the model parameters, until the error between the output results of the model and the actual test data is minimized, and finally the theoretical value of wind resistance is obtained. The theoretical value of wind resistance refers to the predicted value of the air resistance of the radiator under specific working conditions obtained by simulation fitting. This value is calculated based on fluid dynamics theory and reflects the aerodynamic characteristics of the radiator under design conditions.

[0032] Step 103, based on the theoretical value of wind resistance, perform outlier optimization on the measured value of wind resistance to obtain the optimized value of wind resistance of the target radiator;

[0033] Specifically, outlier optimization refers to the process of identifying and correcting values ​​in a data set that do not conform to normal distribution or expected patterns. In the bench test of radiator wind resistance, some measured wind resistance values ​​may deviate from the true values ​​due to various reasons (such as test errors, equipment failures, operational errors, etc.). These measured wind resistance values ​​can be optimized to optimized wind resistance values. The optimized wind resistance value refers to the wind resistance value data after outlier optimization; this optimized wind resistance value is closer to the actual wind resistance performance of the radiator under actual working conditions, because it has eliminated the influence of errors and abnormal factors that may occur during the test.

[0034] Through step 103, the outlier value of the measured wind resistance is optimized based on the theoretical wind resistance value, and the abnormal or error data in the test is removed or corrected, so as to obtain a more accurate wind resistance optimization value, which effectively improves the data quality, ensures that the measured wind resistance value is more reasonable, avoids data deviations caused by test errors or other unforeseen factors, and thus improves the accuracy of subsequent damping coefficient calculations.

[0035] Step 104, calculating the damping coefficient of the target radiator based on the wind resistance optimization value, the wind speed value and the radiator core thickness;

[0036] Specifically, first, the specific values ​​of the optimized wind resistance value, wind speed value and radiator core thickness can be obtained from the previous steps, and then according to the physical characteristics of the radiator and the principles of fluid dynamics, the optimized wind resistance value, wind speed value and the specific values ​​of the radiator core thickness are substituted into a suitable mathematical model or formula to calculate the damping coefficient.

[0037] Step 105, performing simulation fitting on the damping coefficient by using a three-dimensional simulation tool to obtain air intake data of the target radiator;

[0038] Specifically, a three-dimensional simulation tool refers to a computer program used to simulate and calculate physical phenomena such as fluid dynamics, heat transfer, and structural mechanics. It is based on the three-dimensional flow assumption, that is, the fluid flow characteristics can change in three spatial dimensions; the three-dimensional simulation tool can more accurately simulate physical phenomena under complex geometric shapes and flow conditions because it takes into account the changes in flow in all directions; the three-dimensional simulation tool in the embodiment of the present application can use the computational fluid dynamics software STAR-CCM+. In the three-dimensional simulation tool, an accurate three-dimensional simulation model can be established according to the actual size, structure, and material properties of the target radiator, and the simulation conditions can be set according to the aforementioned damping coefficient, wind speed range and other parameters, and simulation fitting can be performed to obtain accurate air intake data.

[0039] Through step 105, the embodiment of the present application can more accurately simulate the actual working environment and fluid dynamic characteristics of the radiator, thereby obtaining more accurate air intake volume data.

[0040] In summary, the embodiment of the present application first performs bench testing on the target radiator to obtain actual test data under different working conditions, thereby ensuring that the input data of the subsequent one-dimensional simulation tool is based on real physical conditions, thereby improving the accuracy and reliability of the subsequent simulation analysis; using the one-dimensional simulation tool to simulate and fit the test data to obtain the theoretical value of wind resistance, and further based on these theoretical values ​​of wind resistance, outlier optimization is performed on the measured value of wind resistance, and the abnormal or error data in the test is removed or corrected, thereby obtaining a more accurate wind resistance optimization value, effectively improving the data quality, ensuring that the measured value of wind resistance is more reasonable, and avoiding data deviations caused by test errors or other unforeseen factors, thereby improving the accuracy of subsequent damping coefficient calculations; and then using a three-dimensional simulation tool to simulate and fit the calculated damping coefficient, it is possible to more accurately simulate the actual working environment and fluid dynamics characteristics of the radiator, thereby obtaining more accurate air intake data. In summary, the embodiment of the present application ensures the data accuracy and reliability of the radiator air intake simulation analysis results by combining bench testing, one-dimensional simulation optimization and three-dimensional simulation.

[0041] In some embodiments, the aforementioned step 103 may include: traversing and calculating the wind resistance difference between the theoretical wind resistance value and the actual wind resistance value under all test conditions; when the wind resistance difference is not greater than the wind resistance difference threshold, determining the actual wind resistance value as the wind resistance optimization value; when the wind resistance difference is greater than the wind resistance difference threshold, interpolating the wind resistance abnormal value to obtain the wind resistance optimization value, wherein the wind resistance abnormal value is the actual wind resistance measured value under a first condition, and the first condition is a test condition in which the wind resistance difference is greater than the wind resistance difference threshold.

[0042] Specifically, first, for each test condition, the difference between the theoretical wind resistance value and the actual wind resistance value, that is, the wind resistance difference, can be calculated; this process can cover all test conditions to ensure a comprehensive evaluation of the wind resistance performance; then, the wind resistance difference under each test condition is compared with a preset wind resistance difference threshold; the wind resistance difference threshold is set according to actual needs and is used to determine whether the actual wind resistance value meets the optimization requirements. In an embodiment of the present application, the wind resistance difference threshold can be 1Pa. When the wind resistance difference is not greater than the wind resistance difference threshold, it means that the measured wind resistance value under the test condition is close to the theoretical value and meets the optimization requirements. Therefore, the measured wind resistance value is directly determined as the optimized wind resistance value. When the wind resistance difference is greater than the wind resistance difference threshold, it means that there is an abnormal wind resistance value and further processing is required. At this time, the test condition in which the wind resistance difference is greater than the wind resistance difference threshold can be identified as the first condition, and the measured wind resistance value under the test condition is obtained as the abnormal wind resistance value. The abnormal wind resistance value is then interpolated, that is, the measured wind resistance values ​​under other test conditions are used for mathematical interpolation to obtain a more reasonable and optimized wind resistance value as the optimized wind resistance value.

[0043] For example, in the actual implementation of the embodiment of the present application, the linear fitting diagrams of the wind resistance test values ​​and the wind resistance theoretical values ​​under 8 different test conditions are as follows: Figure 2 shown.

[0044] Through the implementation of the above embodiment, the wind resistance difference is traversed and calculated and the threshold is set, and the outlier value optimization is performed on the measured wind resistance value, which can effectively eliminate abnormal data caused by test errors or instrument failures, improve data quality, and ensure the accuracy of subsequent calculations.

[0045] In some embodiments, the aforementioned interpolation processing of the wind resistance abnormal value to obtain the wind resistance optimization value may include: interpolation processing of the wind resistance abnormal value according to the wind resistance interpolation calculation equation to obtain the wind resistance optimization value, wherein the wind resistance interpolation calculation equation is:

[0046]

[0047] In the formula, y1 is the optimized value of wind resistance under the first working condition, x1 is the wind speed value under the first working condition, x2 is the wind speed value under the second working condition, x3 is the wind speed value under the third working condition, y2 is the measured value of wind resistance under the second working condition, and y3 is the measured value of wind resistance under the third working condition, wherein the second working condition and the third working condition are two different test conditions in which the wind resistance difference is greater than the wind resistance difference threshold.

[0048] Specifically, when an abnormal wind resistance value is detected under a certain test condition (such as the first condition), formula (1) can be used for interpolation processing. Specifically, assuming that we know the wind speed value and the corresponding wind resistance measured value under the second condition (x2, y2) and the third condition (x3, y3), and the wind resistance difference between the two conditions is greater than the preset wind resistance difference threshold, it means that their wind resistance characteristics are significantly different and suitable as the reference point for interpolation calculation. At this time, the wind speed value x1 under the first condition is substituted into formula (1) to calculate the wind resistance optimization value y1 under the first condition.

[0049] Through the implementation of the above-mentioned embodiment, the abnormal value of wind resistance is processed by the interpolation method to obtain the optimized value of wind resistance, which can make a reasonable estimate of missing or abnormal data without increasing additional testing costs, help to eliminate the wind resistance calculation error caused by abnormal data of a single working condition, and improve the integrity and availability of the data.

[0050] In some embodiments, before the abnormal wind resistance value is interpolated according to the wind resistance interpolation calculation equation to obtain the optimized wind resistance value, the radiator air inlet volume simulation method may also include: traversing all test conditions, and determining the two test conditions whose wind speed values ​​are closest to the wind speed value under the first condition as the second condition and the third condition.

[0051] Specifically, all test conditions are traversed, and by comparing the wind speed values ​​under each test condition with the wind speed value under the first condition, the two test conditions with the closest wind speed values ​​are selected, and they are respectively determined as the second condition and the third condition. These two conditions will serve as reference points for subsequent wind resistance interpolation calculations.

[0052] Through the implementation of the above embodiment, before the interpolation process, by traversing the test conditions to find two test conditions closest to the abnormal value wind speed as references, the rationality and accuracy of the interpolation result can be ensured.

[0053] In some embodiments, the aforementioned step 104 may include: substituting the wind resistance optimization value, wind speed value and radiator core thickness into the damping coefficient calculation equation to calculate the damping coefficient of the target radiator, wherein the damping coefficient calculation equation shows that the damping coefficient is positively correlated with the wind resistance optimization value, and negatively correlated with the radiator core thickness, and the damping coefficient includes a viscous damping coefficient and an inertial damping coefficient.

[0054] Specifically, the wind resistance optimization value obtained by interpolation processing, the corresponding wind speed value, and the core thickness of the radiator are used as input parameters and substituted into the preset damping coefficient calculation equation; the calculation equation reflects the positive correlation between the damping coefficient and the wind resistance optimization value, that is, the larger the wind resistance optimization value, the larger the damping coefficient; at the same time, the equation also shows the negative correlation between the damping coefficient and the thickness of the radiator core, that is, the thicker the radiator core, the smaller the damping coefficient. The viscous damping coefficient refers to the energy loss coefficient generated by the viscosity of the fluid during the flow process. The larger the viscous damping coefficient, the greater the resistance encountered by the fluid when flowing inside the radiator, and the more serious the energy loss. The inertial damping coefficient refers to the energy loss coefficient generated by the inertial effect of the fluid during the flow process; the larger the inertial damping coefficient, the more energy the fluid loses during acceleration or deceleration.

[0055] Through the implementation of the above embodiments, the wind resistance characteristics and the influence of the radiator structure can be comprehensively considered when calculating the damping coefficient, and complex fluid dynamics problems can be simplified into physical quantities that are easy to understand and calculate, making the calculation of the damping coefficient more comprehensive and accurate.

[0056] In some embodiments, the damping coefficient calculation equation is:

[0057]

[0058] Where p is the optimized wind resistance value, l is the thickness of the radiator core, x is the wind speed value, a is the basic offset constant, b is the viscous damping coefficient, and c is the inertial damping coefficient.

[0059] Specifically, equation (2) expresses the influence of the optimal wind resistance value (p), the radiator core thickness (l) and the wind speed value (x) on the damping coefficient through a mathematical relationship. This equation is concise, easy to calculate, and can comprehensively consider the influence of multiple factors on the damping coefficient.

[0060] Through the implementation of the above embodiments, the relationship between the damping coefficient and the optimized wind resistance value, wind speed and radiator core thickness is clarified, which helps to standardize the calculation process and improve the repeatability and accuracy of the simulation.

[0061] In some embodiments, the aforementioned step 105 may include: importing the damping coefficient and vehicle configuration information into a three-dimensional simulation tool for simulation fitting to obtain air intake data of the target radiator, wherein the vehicle configuration information includes vehicle speed, ambient temperature and fan speed.

[0062] Specifically, first, the previously calculated damping coefficients (including viscous damping coefficients and inertial damping coefficients) and relevant vehicle configuration information (such as vehicle speed, ambient temperature, and fan speed) can be sorted and summarized; then, these data are imported as input parameters into professional 3D simulation tools (such as SolidWorks Flow Simulation, ANSYS Fluent, SimScale, and STAR-CCM+, etc.). In the 3D simulation tool, a 3D model of the target radiator is constructed, and the input damping coefficient and vehicle configuration information are combined to perform simulation; during the simulation process, the air intake process of the radiator under different working conditions will be simulated according to the input parameters and the physical properties of the radiator, and the corresponding air intake volume data will be calculated; finally, the 3D simulation tool will output the air intake volume data of the target radiator for subsequent analysis and evaluation.

[0063] Through the implementation of the above embodiment, the damping coefficient and the vehicle configuration information are combined for three-dimensional simulation, and air intake data that is closer to the actual working conditions can be obtained, which provides strong support for radiator design and vehicle performance optimization.

[0064] Furthermore, as an implementation of the aforementioned method embodiment, the present application also provides a radiator air intake simulation device for implementing the aforementioned method embodiment. The device embodiment corresponds to the aforementioned method embodiment. For ease of reading, the present radiator air intake simulation device embodiment will no longer repeat the details of the aforementioned method embodiment one by one, but it should be clear that the device in the embodiment of the present application can correspond to and implement all the contents of the aforementioned method embodiment. Figure 3As shown, the radiator air inlet volume simulation device 20 includes: a bench test unit 201, a wind resistance theoretical value determination unit 202, a wind resistance optimization value determination unit 203, a damping coefficient determination unit 204 and a simulation fitting unit 205, wherein the bench test unit 201 is used to perform a bench test on the target radiator to obtain test data of the target radiator under different working conditions, wherein the test data includes a wind speed value, a wind resistance measured value and a radiator core thickness; the wind resistance theoretical value determination unit 202 is used to perform simulation fitting on the test data through a one-dimensional simulation tool to obtain the wind resistance theoretical value of the target radiator; the wind resistance optimization value determination unit 203 is used to optimize the outlier value of the wind resistance measured value based on the wind resistance theoretical value to obtain the wind resistance optimization value of the target radiator; the damping coefficient determination unit 204 is used to calculate the damping coefficient of the target radiator based on the wind resistance optimization value, the wind speed value and the radiator core thickness; the simulation fitting unit 205 is used to perform simulation fitting on the damping coefficient through a three-dimensional simulation tool to obtain the air inlet volume data of the target radiator.

[0065] In some embodiments, the wind resistance optimization value determination unit 203 is also used to traverse and calculate the wind resistance difference between the theoretical wind resistance value and the actual wind resistance value under all test conditions; when the wind resistance difference is not greater than the wind resistance difference threshold, the actual wind resistance value is determined as the wind resistance optimization value; when the wind resistance difference is greater than the wind resistance difference threshold, the wind resistance abnormal value is interpolated to obtain the wind resistance optimization value, wherein the wind resistance abnormal value is the actual wind resistance value under the first working condition, and the first working condition is a test condition where the wind resistance difference is greater than the wind resistance difference threshold.

[0066] In some embodiments, the wind resistance optimization value determination unit 203 is further used to perform interpolation processing on the wind resistance abnormal value according to the wind resistance interpolation calculation equation to obtain the wind resistance optimization value, wherein the wind resistance interpolation calculation equation is: In the formula, y1 is the optimized value of wind resistance under the first working condition, x1 is the wind speed value under the first working condition, x2 is the wind speed value under the second working condition, x3 is the wind speed value under the third working condition, y2 is the measured value of wind resistance under the second working condition, and y3 is the measured value of wind resistance under the third working condition, wherein the second working condition and the third working condition are two different test conditions in which the wind resistance difference is greater than the wind resistance difference threshold.

[0067] In some embodiments, the wind resistance optimization value determination unit 203 is further used to traverse all test conditions and determine two test conditions whose wind speed values ​​are closest to the wind speed value under the first condition as the second condition and the third condition.

[0068] In some embodiments, the damping coefficient determination unit 204 is also used to substitute the wind resistance optimization value, wind speed value and radiator core thickness into the damping coefficient calculation equation to calculate the damping coefficient of the target radiator, wherein the damping coefficient calculation equation shows that the damping coefficient is positively correlated with the wind resistance optimization value, and negatively correlated with the radiator core thickness, and the damping coefficient includes a viscous damping coefficient and an inertial damping coefficient.

[0069] In some embodiments, the damping coefficient calculation equation is: Where p is the optimized wind resistance value, l is the thickness of the radiator core, x is the wind speed value, a is the basic offset constant, b is the viscous damping coefficient, and c is the inertial damping coefficient.

[0070] In some embodiments, the simulation fitting unit 205 is also used to import the damping coefficient and vehicle configuration information into a three-dimensional simulation tool for simulation fitting to obtain the air intake data of the target radiator, wherein the vehicle configuration information includes vehicle speed, ambient temperature and fan speed.

[0071] The present application also provides a computer-readable storage medium, which stores computer-executable instructions or computer programs. When the computer-executable instructions or computer programs are executed by a processor, the processor will be caused to execute any step of the radiator air intake volume simulation method provided in the present application.

[0072] In some embodiments, the computer-readable storage medium may be a memory such as RAM, read-only memory (ROM), flash memory, magnetic surface memory, optical disk, or compact disc read-only memory (CD-ROM); or it may be various devices including one or any combination of the above memories.

[0073] In some embodiments, computer executable instructions may be in the form of a program, software, software module, script or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine or other unit suitable for use in a computing environment.

[0074] In some embodiments, computer-executable instructions may, but need not, correspond to a file in a file system, may be stored as part of a file storing other programs or data, for example, in one or more scripts in a HyperText Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files storing one or more modules, subroutines, or code portions).

[0075] In some embodiments, computer executable instructions may be deployed to be executed on one electronic device, or on multiple electronic devices located at one site, or on multiple electronic devices distributed at multiple sites and interconnected by a communication network.

[0076] like Figure 4 As shown, the present application also provides an electronic device 30, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor, and when the processor 320 executes the computer program 311, any step of the above-mentioned radiator air intake simulation method is implemented.

[0077] The present application also provides a computer program product, which includes a computer program or a computer executable instruction, and the computer program or the computer executable instruction is stored in a computer-readable storage medium. The processor of the electronic device reads the computer program or the computer executable instruction from the computer-readable storage medium, and the processor executes the computer program or the computer executable instruction, so that the electronic device performs any step of the radiator air intake simulation method described above in the present application.

[0078] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for simulating the air intake volume of a radiator, characterized in that: include: Performing bench testing on a target radiator to obtain test data of the target radiator under different working conditions, wherein the test data includes wind speed value, wind resistance measured value and radiator core thickness; Perform simulation fitting on the test data by using a one-dimensional simulation tool to obtain a theoretical value of wind resistance of the target radiator; Based on the theoretical value of wind resistance, outlier optimization is performed on the measured value of wind resistance to obtain an optimized value of wind resistance of the target radiator; Based on the optimized wind resistance value, the wind speed value and the radiator core thickness, the damping coefficient of the target radiator is calculated; The damping coefficient is simulated and fitted by a three-dimensional simulation tool to obtain the air intake volume data of the target radiator.

2. The radiator air intake simulation method according to claim 1, characterized in that: The step of optimizing the measured wind resistance value based on the wind resistance theoretical value to obtain the wind resistance optimization value of the target radiator includes: traversally calculating the wind resistance difference between the theoretical wind resistance value and the measured wind resistance value under all test conditions; When the wind resistance difference is not greater than the wind resistance difference threshold, determining the wind resistance measured value as the wind resistance optimization value; When the wind resistance difference is greater than the wind resistance difference threshold, the wind resistance abnormal value is interpolated to obtain the wind resistance optimization value, wherein the wind resistance abnormal value is the actual measured value of the wind resistance under a first operating condition, and the first operating condition is a test condition where the wind resistance difference is greater than the wind resistance difference threshold.

3. The radiator air intake simulation method according to claim 2, characterized in that: The interpolation process is performed on the abnormal wind resistance value to obtain the optimized wind resistance value, including: The wind resistance abnormal value is interpolated according to the wind resistance interpolation calculation equation to obtain the wind resistance optimization value, wherein the wind resistance interpolation calculation equation is: In the formula, y1 is the optimized value of wind resistance under the first working condition, x1 is the wind speed value under the first working condition, x2 is the wind speed value under the second working condition, x3 is the wind speed value under the third working condition, y2 is the measured value of wind resistance under the second working condition, y3 is the measured value of wind resistance under the third working condition, wherein the second working condition and the third working condition are two different test conditions in which the wind resistance difference is greater than the wind resistance difference threshold.

4. The radiator air intake simulation method according to claim 3, characterized in that: Before interpolating the abnormal wind resistance value according to the wind resistance interpolation calculation equation to obtain the optimized wind resistance value, the radiator air intake simulation method further includes: All the test conditions are traversed, and two test conditions whose wind speed values ​​are closest to the wind speed value under the first condition are determined as the second condition and the third condition.

5. The radiator air intake simulation method according to claim 1, characterized in that: The step of calculating the damping coefficient of the target radiator based on the optimized wind resistance value, the wind speed value and the radiator core thickness includes: The optimized wind resistance value, the wind speed value and the radiator core thickness are substituted into the damping coefficient calculation equation to calculate the damping coefficient of the target radiator, wherein the damping coefficient calculation equation shows that the damping coefficient is positively correlated with the optimized wind resistance value, and negatively correlated with the radiator core thickness, and the damping coefficient includes a viscous damping coefficient and an inertial damping coefficient.

6. The radiator air intake simulation method according to claim 5, characterized in that: The damping coefficient calculation equation is: In the formula, p is the optimized wind resistance value, l is the radiator core thickness, x is the wind speed value, a is the basic offset constant, b is the viscous damping coefficient, and c is the inertial damping coefficient.

7. The radiator air intake simulation method according to any one of claims 1 to 6, characterized in that: The step of simulating and fitting the damping coefficient by a three-dimensional simulation tool to obtain the air intake data of the target radiator includes: The damping coefficient and vehicle configuration information are imported into the three-dimensional simulation tool for simulation fitting to obtain the air intake volume data of the target radiator, wherein the vehicle configuration information includes vehicle speed, ambient temperature and fan speed.

8. A sound signal output device in a new energy vehicle, characterized in that: include: A bench test unit, used to perform bench tests on a target radiator to obtain test data of the target radiator under different working conditions, wherein the test data includes wind speed value, wind resistance measured value and radiator core thickness; A wind resistance theoretical value determination unit, used for performing simulation fitting on the test data through a one-dimensional simulation tool to obtain a wind resistance theoretical value of the target radiator; A wind resistance optimization value determination unit, configured to perform outlier optimization on the wind resistance measured value based on the wind resistance theoretical value, to obtain a wind resistance optimization value of the target radiator; a damping coefficient determination unit, configured to calculate the damping coefficient of the target radiator based on the wind resistance optimization value, the wind speed value and the radiator core thickness; The simulation fitting unit is used to perform simulation fitting on the damping coefficient through a three-dimensional simulation tool to obtain the air intake volume data of the target radiator.

9. An electronic device, comprising: A memory and a processor, wherein the processor is used to implement the steps of the radiator air inlet volume simulation method as described in any one of claims 1 to 7 when executing the computer program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the radiator air intake simulation method according to any one of claims 1 to 7 are implemented.

Images