CN116401974A

CN116401974A - Engine cooling performance evaluation method, device and equipment based on multidimensional

Info

Publication number: CN116401974A
Application number: CN202310665336.9A
Authority: CN
Inventors: 张昊; 余运超
Original assignee: Beijing Huaqing Ruizhi Technology Co ltd
Current assignee: Beijing Huaqing Ruizhi Technology Co ltd
Priority date: 2023-06-07
Filing date: 2023-06-07
Publication date: 2023-07-07
Anticipated expiration: 2043-06-07
Also published as: CN116401974B

Abstract

The embodiment of the application discloses a cooling performance evaluation method, device and equipment based on a multidimensional engine. When the cooling performance of the engine is evaluated, the established three-dimensional CFD model is updated by using the thermal network evaluation parameters of the engine, which are obtained through the thermal network model, and then when the accuracy of the current thermal network model and the accuracy of the current three-dimensional CFD model meet the preset requirements according to the CFD evaluation parameters output by the updated three-dimensional CFD model, the cooling performance evaluation result of the engine is determined by using the current thermal network evaluation parameters and/or the current CFD evaluation parameters. According to the method, the performance of the engine is evaluated from a multidimensional angle, the convergence speed of the three-dimensional CFD model is accelerated through the thermal network evaluation parameters, the calculation efficiency and the evaluation precision of the three-dimensional CFD model are improved, meanwhile, the precision of the two evaluation models is controlled by utilizing the CFD evaluation parameters, the evaluation efficiency is considered, and the evaluation precision is improved.

Description

Engine cooling performance evaluation method, device and equipment based on multidimensional

Technical Field

The present disclosure relates to the field of engines, and in particular, to a method, an apparatus, and a device for evaluating cooling performance of an engine based on multiple dimensions.

Background

The current engine cooling system performance assessment may employ CFD (Computational Fluid Dynamics ) methods or thermal networking methods.

The accuracy is lost to some extent due to the fact that the actual test data are lacking in the process of modeling the actual model in the CFD modeling process, and the numerical simulation speed is generally longer. The heat network method is based on a heat conduction equation, and constructs a heat source, thermal resistance, heat capacity and the like based on an equivalent average thought to form a heat path topological structure, and solves the temperature at each place.

Disclosure of Invention

The application discloses a cooling performance evaluation method, device and equipment based on a multidimensional engine, which are used for improving the accuracy of engine cooling performance evaluation while considering the speed of engine cooling performance evaluation.

According to a first aspect of embodiments of the present application, there is provided a method of evaluating cooling performance of an engine based on multiple dimensions, the method comprising:

inputting historical test data of an engine to be evaluated into a thermal network model established according to a composition framework of the engine to obtain thermal network evaluation parameters of the engine;

updating the three-dimensional CFD model established according to the composition framework of the engine by utilizing the thermal network evaluation parameters to obtain updated CFD evaluation parameters output by the three-dimensional CFD model;

and when the accuracy of the current thermal network model and the current three-dimensional CFD model meets the preset requirement according to the CFD evaluation parameters, determining a cooling performance evaluation result of the engine by using the current thermal network evaluation parameters and/or the current CFD evaluation parameters.

Optionally, the thermal network evaluation parameters include thermal resistance and temperature parameters of each unit body in the thermal network model;

the updating the three-dimensional CFD model established according to the composition framework of the engine by using the thermal network evaluation parameters, and obtaining the CFD evaluation parameters output by the updated three-dimensional CFD model comprises the following steps:

determining heat exchange coefficients at boundaries among the unit bodies according to the thermal resistance of the unit bodies in the thermal network model;

updating the three-dimensional CFD model by utilizing the heat exchange coefficient;

and inputting the temperature parameters into the updated three-dimensional CFD model to obtain the CFD evaluation parameters.

Optionally, the thermal network evaluation parameter further comprises a first temperature rise of the engine, and the CFD evaluation parameter comprises a second temperature rise of the engine;

the determining that the precision of the current thermal network model and the current three-dimensional CFD model meets the preset requirement according to the CFD evaluation parameters comprises the following steps:

judging whether the difference value between the first temperature rise and the second temperature rise is smaller than a preset threshold value or not;

if yes, determining that the precision of the current thermal network model and the current three-dimensional CFD model meets the preset requirement;

if not, updating the thermal network model according to the CFD evaluation parameters, inputting the historical test data of the engine to be evaluated into the updated thermal network model, and returning to the step of obtaining the thermal network evaluation parameters of the engine.

Optionally, the updating the thermal network model according to the CFD evaluation parameters includes:

and adjusting the heat conduction coefficient in the thermal network model by using the CFD evaluation parameter to update the thermal network model.

Optionally, the adjusting the thermal conductivity coefficients in the thermal network model using the CFD evaluation parameters includes:

obtaining convection heat exchange coefficients of each unit body in the thermal network model based on the CFD evaluation parameters;

and adjusting the heat transfer coefficient and the thermal resistance of each unit body in the thermal network model according to the heat convection coefficient of each unit body.

According to a second aspect of embodiments of the present application, there is provided a cooling performance evaluation device of an engine based on multiple dimensions, the device including:

the thermal network evaluation module is used for inputting historical test data of the engine to be evaluated into a thermal network model established according to the composition architecture of the engine to obtain thermal network evaluation parameters of the engine;

the CFD evaluation module is used for updating the three-dimensional CFD model established according to the composition framework of the engine by utilizing the thermal network evaluation parameters to obtain CFD evaluation parameters output by the updated three-dimensional CFD model;

and the evaluation result determining module is used for determining the cooling performance evaluation result of the engine by utilizing the current thermal network evaluation parameters and/or the current CFD evaluation parameters when the accuracy of the current thermal network model and the current three-dimensional CFD model meets the preset requirement.

the CFD evaluation module updates a three-dimensional CFD model established according to the composition architecture of the engine by using the thermal network evaluation parameters, and the CFD evaluation parameters output by the updated three-dimensional CFD model are obtained by the CFD evaluation module comprising:

the evaluation result determining module determining that the precision of the current thermal network model and the current three-dimensional CFD model meets the preset requirement according to the CFD evaluation parameters comprises:

Optionally, the evaluation result determining module updating the thermal network model according to the CFD evaluation parameters includes:

According to a third aspect of embodiments of the present application, there is provided an electronic device including: a memory and a processor;

wherein the memory is configured to store machine-executable instructions;

the processor is configured to read and execute the machine-executable instructions stored by the memory to implement the multidimensional-based engine cooling performance assessment method as described above.

The technical scheme provided by the embodiment of the application can comprise the following beneficial effects:

according to the technical scheme, when the cooling performance of the engine is evaluated, the established three-dimensional CFD model is updated by using the thermal network evaluation parameters of the engine obtained through the thermal network model, and then when the accuracy of the current thermal network model and the current three-dimensional CFD model meets the preset requirement according to the CFD evaluation parameters output by the updated three-dimensional CFD model, the cooling performance evaluation result of the engine is determined by using the current thermal network evaluation parameters and/or the current CFD evaluation parameters. According to the method, the performance of the engine is evaluated from a multidimensional angle, the convergence speed of the three-dimensional CFD model is accelerated through the thermal network evaluation parameters, the calculation efficiency and the evaluation precision of the three-dimensional CFD model are improved, meanwhile, the precision of the two evaluation models is controlled by utilizing the CFD evaluation parameters, the evaluation efficiency is considered, and the evaluation precision is improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the specification and together with the description, serve to explain the principles of the specification.

FIG. 1 is a flow chart of a method for evaluating cooling performance of a multidimensional-based engine according to an embodiment of the present application;

FIG. 2 is a flow chart of an engine dual architecture diagram provided in an embodiment of the present application;

FIG. 3 is a flow chart of another method for evaluating cooling performance of a multidimensional-based engine according to an embodiment of the present application;

FIG. 4 is a schematic structural diagram of a cooling performance evaluation device for a multidimensional-based engine according to an embodiment of the present application;

fig. 5 is a hardware configuration diagram of an electronic device according to an embodiment of the present application.

Detailed Description

Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.

The terminology used in the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the present application. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.

It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first message may also be referred to as a second message, and similarly, a second message may also be referred to as a first message, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context.

In order to better understand the technical solutions provided by the embodiments of the present application and make the above objects, features and advantages of the embodiments of the present application more obvious, the following description describes method embodiments provided by the embodiments of the present application with reference to the accompanying drawings.

Referring to FIG. 1, FIG. 1 provides a flow chart of a method for estimating cooling performance of a multidimensional-based engine. In some embodiments, the method may be used with an electronic device such as a PC, server, or the like.

As shown in fig. 1, the method comprises the steps of:

and step 101, inputting historical test data of the engine to be evaluated into a thermal network model established according to the composition architecture of the engine to obtain thermal network evaluation parameters of the engine.

As an embodiment, before the present embodiment is executed, a thermal network model corresponding to the engine to be evaluated may be established in advance according to the composition architecture of the engine. The composition architecture of the engine can be determined according to the design scheme of the engine.

Specifically, the establishment of the thermal network model corresponding to the engine may be performed by: the engine temperature distribution is symmetrical along the cross section of the center of the circumferential direction, so that half of the symmetry of the engine can be taken as a solving area when the performance of the engine cooling system is evaluated, and the space problem is converted into a plane problem. After determining the selected solution region, the method can be used for

On the plane, according to the materials and components of the engine, the engine is divided into a plurality of blocks along the radial direction, the equivalent relevant surface area of each block is obtained, and the structure and the engine are constructedThe engine thermal network diagram can be obtained after the dual structure diagram (shown in figure 2) of the regular interweaving of the machine structure diagram is further calculated based on the dual structure diagram, and the equivalent thermal resistance and the equivalent heat source corresponding to each block are calculated. In this embodiment, a thermal network model may be constructed based on the engine thermal network map obtained as described above, and for convenience of description, each block divided by the engine is denoted as each unit in this embodiment and the following embodiments.

And 102, updating the three-dimensional CFD model established according to the composition framework of the engine by using the thermal network evaluation parameters to obtain CFD evaluation parameters output by the updated three-dimensional CFD model.

As an embodiment, before the present embodiment is executed, a three-dimensional CFD model corresponding to the engine to be evaluated may be established in advance according to the composition architecture of the engine.

Specifically, in this embodiment, the three-dimensional CFD model corresponding to the engine may be established by the following manner: firstly, an engine geometric model is established, an aeroengine grid model (comprising a fluid domain and a structural domain) is established by using a grid dividing tool, and then the grid model is imported into a CFD solver to obtain a corresponding three-dimensional CFD model.

In some embodiments, the thermal network evaluation parameters of the engine obtained in step 101 include at least thermal resistance and temperature parameters of each unit in the thermal network model.

Based on the thermal resistance and temperature parameters of each unit in the thermal network model, the step 102 updates the three-dimensional CFD model established according to the component architecture of the engine by using the thermal network evaluation parameters, and the specific steps of obtaining the CFD evaluation parameters output by the updated three-dimensional CFD model are as follows:

determining heat exchange coefficients at boundaries among the unit bodies according to the thermal resistance of the unit bodies in the thermal network model; updating the three-dimensional CFD model by utilizing the heat exchange coefficient; and inputting the temperature parameters into the updated three-dimensional CFD model to obtain the CFD evaluation parameters.

Preferably, in other embodiments, the thermal network evaluation parameters further include other parameters such as a heat flux density of each unit body, and when the CFD evaluation parameters are obtained, the embodiment may further assign parameters such as a temperature, a heat flux density, and the like of each unit body output by the thermal network model to the three-dimensional CFD model according to variables existing in the three-dimensional CFD model, so as to further accelerate convergence of the three-dimensional CFD model.

For example, in a specific implementation, the interpolation method may be adopted to assign parameters such as temperature, heat flux density and the like of each unit body output by the thermal network model to the three-dimensional CFD model. Wherein the interpolation method can be implemented by the following formula:

wherein the method comprises the steps of

Is the thermal data related to the unit body in the thermal network, including temperature, heat flux density, heat exchange coefficient and the like,

for grid node temperature information in the three-dimensional CFD model, < + >>

Is a generic interpolation operator.

And solving an NS equation by using a finite volume method to obtain CFD evaluation parameters of the engine by the updated three-dimensional CFD model, and finally obtaining calculation data of the whole engine as the CFD evaluation parameters, wherein the calculation data comprise a temperature field, a speed field, a flow field and the like. The solution of the NS equation by finite volume method is as follows:

in the above

Is a velocity vector; />

Is->

Respectively the general density, the variable and the diffusion coefficient; />

Is a source item.

And step 103, when the accuracy of the current thermal network model and the current three-dimensional CFD model meets the preset requirement according to the CFD evaluation parameters, determining a cooling performance evaluation result of the engine by utilizing the current thermal network evaluation parameters and/or the current CFD evaluation parameters.

As an embodiment, the thermal network evaluation parameter in this embodiment further includes a first temperature rise of the engine, and the CFD evaluation parameter includes a second temperature rise of the engine. The first temperature rise refers to the temperature of each unit body higher than the environment calculated by the thermal network model; the second temperature rise refers to the temperature of each module of the engine calculated by the three-dimensional CFD model above ambient.

Optionally, in this embodiment, determining, according to the CFD evaluation parameter, that the accuracy of the current thermal network model and the current three-dimensional CFD model meets the preset requirement may be by the following manner: judging whether the difference between the first temperature rise and the second temperature rise is smaller than a preset threshold value or not; if yes, determining that the precision of the current thermal network model and the current three-dimensional CFD model meets the preset requirement, if not, updating the thermal network model according to the CFD evaluation parameters, inputting the historical test data of the engine to be evaluated into the updated thermal network model, and returning to the step of obtaining the thermal network evaluation parameters of the engine so as to repeatedly execute the steps 101-103 until the precision of the current thermal network model and the current three-dimensional CFD model meets the preset requirement.

For example, the preset threshold may be set to 0.1%, and the smaller the value of the preset threshold, the more accurate the resulting thermal network model and three-dimensional CFD model, and the more accurate the evaluation result of the engine cooling system. The specific setting of the preset threshold may refer to actual requirements, which is not limited in the present application.

Preferably, in order to further improve the precision of the thermal network model and the three-dimensional CFD model, the corresponding preset threshold value can be set according to the temperature riseFurther comparing the maximum temperature of the thermal network model output

And maximum temperature of the three-dimensional CFD model output +.>

Whether the difference value is smaller than a preset threshold value corresponding to the maximum temperature.

In addition, in the case where the difference between the first temperature rise and the second temperature rise is smaller than the preset threshold, the accuracy of the thermal network model and the three-dimensional CFD model is substantially the same, and therefore the evaluation result of the cooling system of the engine may be obtained based on either one of the thermal network evaluation parameter and the CFD evaluation parameter, or based on both parameters.

Preferably, the accuracy of the thermal network model is further improved by updating the thermal network model once by using the CFD evaluation parameter under the condition that the difference between the first temperature rise and the second temperature rise is smaller than a preset threshold value, then the calculation speed is faster based on the thermal network model, and the evaluation result of the cooling system of the engine is obtained by using the thermal network evaluation parameter output by the final thermal network model.

The above completes the description of the flow shown in fig. 1.

As can be seen from the embodiment shown in fig. 1, in the embodiment of the present application, when the cooling performance of the engine is evaluated, the established three-dimensional CFD model is updated by using the thermal network evaluation parameter of the engine obtained by the thermal network model, and then when it is determined that the accuracy of the current thermal network model and the current three-dimensional CFD model meets the preset requirement according to the CFD evaluation parameter output by the updated three-dimensional CFD model, the cooling performance evaluation result of the engine is determined by using the current thermal network evaluation parameter and/or the current CFD evaluation parameter. According to the method, the performance of the engine is evaluated from a multidimensional angle, the convergence speed of the three-dimensional CFD model is accelerated through the thermal network evaluation parameters, the calculation efficiency and the evaluation precision of the three-dimensional CFD model are improved, meanwhile, the precision of the two evaluation models is controlled by utilizing the CFD evaluation parameters, the evaluation efficiency is considered, and the evaluation precision is improved.

It should be noted that, in some embodiments, the temperature parameter in the foregoing embodiments includes the temperature of each unit body in the thermal network model. The temperature of each unit body in this embodiment may be an average temperature of each unit body in the test period, based on the fact that the temperature of each unit body varies with time.

Illustratively, the average temperature of each unit cell in the thermal network model can be obtained by the following formula:

the thermal equilibrium equation for the thermal network model construction in this embodiment is set as follows:

wherein:

is the temperature; />

Is the temperature->

Is a function of (2); />

The thermal resistance can be heat conduction thermal resistance or heat convection thermal resistance; />

，/>

，/>

The heat generation rate, the volume and the specific heat capacity of the heat source in the unit volume of the unit body n are respectively;

is->

Time to->

Time intervals of time.

From the slave

Time to->

At the moment, the energy balance formula of absorption and release of any unit body is as follows:

/>

wherein: q is the internal heat source of the unit body, and the unit is W;

is the volume of the unit body; />

The thermal resistance can be heat conduction thermal resistance or heat convection thermal resistance, and depends on the heat transfer mode of the unit body n and surrounding unit bodies; />

，

，/>

，/>

The heat generation rate, volume, density and specific heat capacity of the heat source in the unit volume of the unit body n are respectively; />

Is->

Time to->

Time intervals of time.

Alternatively, the average temperature of each unit cell can be obtained by solving the above equation using newton's iteration method.

In some embodiments, in the process of updating the three-dimensional CFD model in the foregoing embodiments, determining a heat exchange coefficient at a boundary between each unit body according to thermal resistance of each unit body in the thermal network model, and updating the three-dimensional CFD model by using the heat exchange coefficient may be:

in this embodiment, the heat exchange coefficient may be obtained based on the reciprocal relationship between the thermal resistance and the heat exchange coefficient

And then, replacing each heat exchange coefficient in the three-dimensional CFD model with each heat exchange coefficient obtained by utilizing the thermal resistance so as to update the three-dimensional CFD model.

Because the heat exchange coefficient is the air gap of the engine, the assembly and the like caused by the technical reasons, the heat exchange coefficient at the gap is generally determined by revising the test or the Novaget criterion, namely

，/>

For heat exchange coefficient>

For rotational speeds, the computation is relatively complex and time consuming. In the embodiment, the heat exchange coefficient of the three-dimensional CFD model is determined directly by utilizing the thermal resistance constructed by the thermal network model, the three-dimensional CFD model does not need to perform time-consuming calculation to determine the heat exchange coefficient corresponding to the engine, and the efficiency of the three-dimensional CFD model is improved. Meanwhile, the embodiment inputs the temperature parameter in the thermal network evaluation parameters into the updated three-dimensional CFD model, and the thermal network evaluation parameters are obtained by the thermal network model according to historical test data based on the thermal network evaluation parameters, so that three types of parameters can be acceleratedConvergence speed of the dimensional CFD model.

Referring now to FIG. 3, a flowchart of another method for estimating cooling performance of a multidimensional-based engine is provided in FIG. 3. In some embodiments, the method may be used with an electronic device such as a PC, server, or the like.

Step 301, building a thermal network model and a three-dimensional CFD model corresponding to the engine according to the composition architecture of the engine to be evaluated.

And 302, inputting the historical test data of the engine into a current thermal network model to obtain the thermal network evaluation parameters of the engine.

The thermal network evaluation parameter in this embodiment further includes a first temperature rise of the engine, where the first temperature rise refers to a temperature calculated by the thermal network model that is higher than the ambient temperature of each unit cell.

And step 303, updating the three-dimensional CFD model established according to the composition framework of the engine by using the thermal network evaluation parameters to obtain CFD evaluation parameters output by the updated three-dimensional CFD model.

In this embodiment, the CFD evaluation parameter includes a second temperature rise of the engine, where the second temperature rise refers to a temperature calculated by the three-dimensional CFD model, where each module of the engine is higher than the ambient temperature.

Step 304, judging whether the difference value between the first temperature rise in the thermal network evaluation parameters and the second temperature rise in the CFD evaluation parameters is smaller than a preset threshold value; if yes, determining that the accuracy of the current thermal network model and the current three-dimensional CFD model meet the preset requirement, executing step 305, if not, executing step 306 to update the thermal network model according to the CFD evaluation parameters, and returning to step 302.

In some embodiments, the CFD evaluation parameters may be utilized to adjust thermal conductivity coefficients in the thermal network model to update the thermal network model.

Optionally, the thermal conductivity in the present embodiment includes at least: the heat transfer coefficient and the thermal resistance of each unit body. Adjusting the thermal conductivity coefficients in the thermal network model using the CFD evaluation parameters includes: obtaining convection heat exchange coefficients of each unit body in the thermal network model based on the CFD evaluation parameters; and adjusting the heat transfer coefficient and the thermal resistance of each unit body in the thermal network model according to the heat convection coefficient of each unit body.

Illustratively, the CFD evaluation parameters output by the three-dimensional CFD model in the present embodiment include temperature field, flow field data, etc., and the three-dimensional CFD model can utilize the corresponding temperatures T and speeds of the respective unit bodies in the three-dimensional CFD model

Calculating and outputting the corresponding wall heat flow density>

Then, based on a convective heat transfer coefficient solving method:

obtaining heat transfer coefficients of each unit body in the thermal network model

。

Then based on the relation between the heat transfer coefficient and the thermal resistance, the thermal resistance of each unit body in the thermal network model is obtained

：

Wherein, the liquid crystal display device comprises a liquid crystal display device,

is the heat exchange coefficient in the three-dimensional CFD model, < + >>

Is the heat transfer coefficient in the thermal network model, +.>

Is the thermal resistance of the unit body in the thermal network model.

In some embodiments, the heat transfer coefficient and the thermal resistance calculated by the CFD evaluation parameters can be directly used for replacing the original heat transfer coefficient and thermal resistance in the thermal network model, so as to update the thermal network model.

Step 305, determining a cooling performance evaluation result of the engine by using the current thermal network evaluation parameter and/or the current CFD evaluation parameter.

Step 306, updating the thermal network model according to the CFD evaluation parameters, and returning to step 302.

The above completes the description of the flow shown in fig. 3. Details of the embodiment shown in fig. 3 may be referred to the embodiment shown in fig. 1, and will not be described here again.

According to the embodiment shown in fig. 3, it can be seen that the embodiment of the application establishes the thermal network model and the three-dimensional CFD model corresponding to the engine, and evaluates the performance of the engine from a multi-dimensional angle, so that the evaluation efficiency is both considered, and the evaluation accuracy is improved. By updating the three-dimensional CFD model according to the thermal network evaluation parameters and inputting the thermal network evaluation parameters into the updated three-dimensional CFD model, the convergence rate of the three-dimensional CFD model is accelerated, and the calculation efficiency and evaluation accuracy of the three-dimensional CFD model are improved. Meanwhile, based on the three-dimensional CFD model, the complex environments such as natural convection, heat radiation and the like, complex working conditions and complex geometric conditions can be fully considered, the CFD evaluation parameters output by the three-dimensional CFD model are repeatedly and iteratively updated to update the thermal network model, the evaluation accuracy of the thermal network model is improved, and finally the performance of the engine is evaluated from a multidimensional angle, so that the evaluation efficiency is both considered, and the evaluation accuracy is improved.

The cooling performance evaluation method based on the multidimensional engine provided by the embodiment of the application overcomes the problems that a thermal network method is used as a systematic simulation method, the past experience and personnel theoretical level are too depended, the model precision is insufficient, particularly, a thermal network model with a cooling design abnormal structure is too rough, factors such as heat radiation, natural convection heat transfer and the like cannot be further considered, and the method cannot be applicable to changeable complex operation conditions; the defect caused by idealized treatment of thermal resistance in the process parameters, especially assembly, coating and the like, of the CFD method is overcome, the problem of large numerical calculation error of the CFD method is solved, meanwhile, the convergence time of the CFD model is greatly shortened, and the efficiency is considered.

Preferably, in specific use, the embodiment can be mainly used as a thermal network model and supplemented with a three-dimensional CFD model, and in the embodiment, the two models are mutually fused according to the respective output evaluation parameters, so that the large-range multi-working-condition evaluation of the engine cooling design scheme can be realized, the design-iteration speed is accelerated, and the time cost and the resource cost of scheme type selection-design shaping are greatly reduced.

The method provided by the embodiment of the application is described above. The following describes a device provided in an embodiment of the present application:

as shown in fig. 4, fig. 4 provides a schematic structural view of a cooling performance evaluation apparatus of a multidimensional-based engine. In some embodiments, the apparatus may be applied to an electronic device such as a PC, a server, or the like.

As shown in fig. 4, the apparatus includes:

the thermal network evaluation module 401 is configured to input historical test data of an engine to be evaluated into a thermal network model that is already built according to a composition architecture of the engine, and obtain thermal network evaluation parameters of the engine.

The CFD evaluation module 402 is configured to update a three-dimensional CFD model that has been established according to a component architecture of the engine using the thermal network evaluation parameters, and obtain CFD evaluation parameters output by the updated three-dimensional CFD model.

The evaluation result determining module 403 is configured to determine a cooling performance evaluation result of the engine by using the current thermal network evaluation parameter and/or the current CFD evaluation parameter when it is determined that the accuracy of the current thermal network model and the current three-dimensional CFD model meets a preset requirement according to the CFD evaluation parameter.

the CFD evaluation module 402 updates a three-dimensional CFD model that has been built according to the component architecture of the engine using the thermal network evaluation parameters, where obtaining CFD evaluation parameters output by the updated three-dimensional CFD model includes:

the determining module 403 of the evaluation result determines that the accuracy of the current thermal network model and the current three-dimensional CFD model meets the preset requirement according to the CFD evaluation parameter includes:

Optionally, the evaluation result determining module 403 updating the thermal network model according to the CFD evaluation parameters includes:

Optionally, the evaluation result determining module 403 adjusting the thermal conductivity coefficients in the thermal network model using the CFD evaluation parameters includes:

According to the embodiment of the device shown in fig. 4, it can be seen that the performance of the engine is evaluated from a multi-dimensional angle by establishing the thermal network model and the three-dimensional CFD model corresponding to the engine, so that the evaluation efficiency is both considered, and the evaluation accuracy is improved. The three-dimensional CFD model is updated according to the thermal network model, and the thermal network evaluation parameters obtained by the thermal network model are input into the updated three-dimensional CFD model, so that the convergence rate of the three-dimensional CFD model is accelerated, and the calculation efficiency and evaluation accuracy of the three-dimensional CFD model are improved. Meanwhile, based on the three-dimensional CFD model, the complex environments such as natural convection, heat radiation and the like, complex working conditions and complex geometric conditions can be fully considered, the CFD evaluation parameters output by the three-dimensional CFD model are repeatedly and iteratively updated to update the thermal network model, the evaluation accuracy of the thermal network model is improved, and finally the performance of the engine is evaluated from a multidimensional angle, so that the evaluation efficiency is both considered, and the evaluation accuracy is improved.

Correspondingly, the embodiment of the application also provides a hardware structure diagram of the electronic equipment, and fig. 5 is a specific embodiment of the electronic equipment, where the electronic equipment may be the equipment of the cooling performance evaluation method based on the multidimensional engine. As shown in fig. 5, the hardware structure includes: a memory and a processor;

the memory is used for storing machine executable instructions;

the processor is configured to read and execute the machine executable instructions stored in the memory to implement the method as described in any one of the above.

In some embodiments, the memory may be any electronic, magnetic, optical, or other physical storage device that may contain or store information, such as executable instructions, data, or the like. For example, the memory may be: volatile memory, nonvolatile memory, or similar storage medium. In particular, the memory may be RAM (Radom Access Memory, random access memory), flash memory, a storage drive (e.g., hard drive), a solid state disk, any type of storage disk (e.g., optical disk, DVD, etc.), or a similar storage medium, or a combination thereof.

The foregoing description of the preferred embodiments of the present invention is not intended to limit the invention to the precise form disclosed, and any modifications, equivalents, improvements and alternatives falling within the spirit and principles of the present invention are intended to be included within the scope of the present invention.

Claims

1. A method for evaluating cooling performance of an engine based on multiple dimensions, the method comprising:

2. The method of claim 1, wherein the thermal network evaluation parameters include thermal resistance and temperature parameters of each unit cell in the thermal network model;

3. The method of claim 1, wherein the thermal network evaluation parameter further comprises a first temperature rise of the engine, and the CFD evaluation parameter comprises a second temperature rise of the engine;

4. A method according to claim 3, wherein said updating said thermal network model in accordance with said CFD assessment parameters comprises:

5. The method of claim 4, wherein said adjusting thermal conductivity coefficients in said thermal network model using said CFD evaluation parameters comprises:

6. A cooling performance evaluation device of an engine based on a plurality of dimensions, the device comprising:

7. The apparatus of claim 6, wherein the thermal network evaluation parameters include thermal resistance and temperature parameters of each unit cell in the thermal network model;

8. The apparatus of claim 6, wherein the thermal network evaluation parameter further comprises a first temperature rise of the engine, and the CFD evaluation parameter comprises a second temperature rise of the engine;

9. The apparatus of claim 8, wherein the evaluation result determination module updating the thermal network model in accordance with the CFD evaluation parameters comprises:

10. An electronic device, the device comprising: a memory and a processor;

the memory is used for storing machine executable instructions;

the processor is configured to read and execute the machine executable instructions stored in the memory to implement the method of any one of claims 1-5.