Flexible intelligent modeling simulation method and device for one-dimensional thermal management system, medium and program product

Abstract

The invention discloses a one-dimensional thermal management system flexible intelligent modeling simulation method, equipment, a medium and a program product. The method comprises the steps of standardized establishment of a thermal management system component model database, flexible networking of a thermal management network model, high-efficiency calculation of the thermal management network model, post-processing and the like. The simulation model established by the method can implement flexible networking on the thermal management system with any architecture and boundary conditions, and has universality and convenience; a corresponding thermal management system digital network model is automatically generated, the thermal management system digital network model is intelligently solved in a high-efficiency and high-precision manner, and parameters such as flow, inlet and outlet pressure and temperature of each component of the thermal management system are calculated, so that the working process of the thermal management system is simulated as much as possible. And design and research and development of a thermal management system are supported.

Description

Technical Field

[0001] The present invention belongs to the technical field of thermal management system modeling and simulation, and in particular, relates to a one-dimensional thermal management system flexible and intelligent modeling and simulation method, equipment, medium and program product. Background Art

[0002] With the deepening of power system research in the fields of aircraft, new energy vehicles, etc., especially the electrification of power systems, more prominent thermal problems have been brought about, and the importance of thermal management systems has become increasingly prominent. The thermal management system optimizes the distribution and dynamic management of working fluids and energy from the overall level of the power system, establishes a thermal environment that ensures the reliability of each component, and effectively improves the energy utilization efficiency of the power system.

[0003] However, current modeling and simulation research on thermal management systems has a series of problems, such as unclear heating mechanisms, imperfect simulation tools, and incomplete thermal management solutions. On the one hand, it is impossible to reflect the operating mode of the internal mass and energy transport of the thermal management system during operation, and the accuracy of modeling and simulation cannot be guaranteed. On the other hand, it is impossible to achieve flexible networking of the thermal management system, and the universality and convenience of modeling and simulation cannot be guaranteed. Therefore, it is urgent to conduct further in-depth research on simulation and analysis methods of thermal management systems, sort out the heating mechanisms of various components in the thermal management system, establish simulation models of typical components such as heating components, energy exchange components, and transport components of the thermal management system, develop universal thermal management system simulation software, and realize convenient and rapid modeling and high-precision and high-efficiency solutions of the thermal management system through flexible and intelligent modeling and simulation processes, thereby supporting the design and development of thermal management systems. 。

[0004] In view of this, the present invention is proposed. Summary of the invention

[0005] The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art and provide a one-dimensional thermal management system flexible and intelligent modeling and simulation method, equipment, medium and program product. The method includes the standardized establishment of a thermal management system component model database, flexible networking of a thermal management network model, efficient calculation of a thermal management network model and post-processing steps. The process of intelligent modeling and simulation of a one-dimensional thermal management system is described, and it has the advantage of flexible modeling of one-dimensional thermal management systems of any architecture and composition, and is universal and convenient. Through simulation technology, the working process of the thermal management system is simulated as much as possible, and the flow rate, inlet and outlet pressure, temperature and other parameters of each component of the thermal management system are calculated to support the design and development of the thermal management system.

[0006] In order to solve the above technical problems, the basic concept of the technical solution adopted by the present invention is:

[0007] In a first aspect, the present invention provides a method for flexibly and intelligently modeling and simulating a one-dimensional thermal management system, the method comprising the following steps:

[0008] S1) Establish a database of component models for the one-dimensional thermal management system

[0009] S11) Establish a database of physical property parameters of the working fluid for the one-dimensional thermal management system: write a function of the physical property parameters of the working fluid and store it in the database;

[0010] S12) Establish a database of simulation models for components of the one-dimensional thermal management system: by examining the physical processes of the working fluid flowing through the components, extract the characteristics such as the flow and heat transfer of the components, modularly establish component models and store them in the database, and improve the logic and convenience of simulation modeling by standardizing the input and output of component model functions;

[0011] S2) Flexible networking of the thermal management network model

[0012] S21) Convenient input of the model architecture: use a text file txt to input the model architecture, and improve the logic of simulation modeling through a standardized input format;

[0013] S22) Convenient input of boundary conditions: use a text file txt to declare the calculation boundary conditions, and improve the logic of simulation modeling through a standardized input format;

[0014] S23) Automatic generation of balance equations: through a series of algorithms, after reading the input simulation model and boundary conditions, automatically generate a digital model network of the thermal management system, and confirm the balance equations and unknowns required to solve this model network;

[0015] S3) High-efficiency calculation of the thermal management network model

[0016] By developing a solution algorithm, solve the above balance equations with high efficiency and high precision to achieve high-efficiency calculation of the thermal management network model.

[0017] S4) Post-processing of the modeling and simulation of the thermal management system

[0018] After the simulation calculation is completed, the program automatically outputs parameters such as the pressure and temperature of each node and the flow rate of each component in the form of a text file txt, and improves the logic and convenience of simulation modeling through a standardized output format.

[0019] Furthermore, the one-dimensional thermal management system includes a working fluid, components, and nodes. The nodes and components are connected and combined in a specific form to form a thermal management system network, and the working fluid flows in the thermal management system network. Each component model has only one working fluid inlet and one working fluid outlet, and there is no requirement for the number of working fluid inlets and outlets in the node model. Among them, a node with only one inlet or outlet is defined as a "boundary node", a node with one inlet and one outlet is defined as a "connection node", and a node with multiple inlets or outlets is defined as a "branching node".

[0020] Furthermore, the function of the working fluid physical property parameters in step S11 includes the relationships between parameters such as the specific heat capacity, thermal conductivity, viscosity, and density of the working fluid and temperature and pressure.

[0021] Furthermore, the modular model of the component in step S12 can be modeled or redeveloped in various ways such as zero-dimensional, one-dimensional, and three-dimensional models.

[0022] Furthermore, the flexible networking in step S2 means that this method has the ability to automatically generate a corresponding digital network model of the thermal management system for any input architecture and input boundary conditions.

[0023] Furthermore, the standardized input of the model architecture in step S21 is expressed in the form of listing the numbers of each component and the numbers of their inlet and outlet nodes, and at the same time declaring the model function name called by the component in the database and the component characteristic parameters.

[0024] Furthermore, the standardized input of the boundary conditions in step S22 is expressed in the form of declaring the flow rate / temperature / pressure parameters on each boundary node.

[0025] Furthermore, the digital model network of the thermal management system in step S23 follows the balance conditions of the conservation of the working fluid flow rate at the inlets and outlets of the components, the balance of the working fluid pressure at the nodes, and the conservation of the flow rate and energy at the nodes.

[0026] Furthermore, the solution algorithm in step S3 has good stability and accuracy when solving the balance equation of the digital model network of the thermal management system described in step S23), which has strong nonlinear and implicit function characteristics.

[0027] Furthermore, in addition to the pressure and temperature of each node and the flow rate of each component, the calculated output parameters of the thermal management system in step S4 can also customize the output of any parameters that each component needs to view, greatly expanding the applicable range of the simulation modeling method.

[0028] In a second aspect, the present invention provides a computer device, including a memory and a processor. The memory is used to store computer programs or instructions, and the processor is used to call the computer programs or instructions stored in the memory, so that the computer device executes the above method.

[0029] In a third aspect, the present invention provides a computer-readable storage medium, including instructions, which when running on a computer, cause the computer to execute the above method.

[0030] In a fourth aspect, the present invention provides a computer program product, including a computer program / instruction, characterized in that when the computer program / instruction is executed by a processor, the above method is implemented.

[0031] After adopting the above technical solutions, the present invention has the following beneficial effects compared with the prior art.

[0032] The simulation model established by the present invention through this method can realize the flexible networking of the thermal management system with any architecture and boundary conditions, automatically generate the corresponding digital network model of the thermal management system, and intelligently solve the digital network model of the thermal management system with high efficiency and high accuracy, calculate the flow rate, inlet and outlet pressure, temperature and other parameters of each component of the thermal management system, so as to simulate the working process of the thermal management system as much as possible and support the design and research and development of the thermal management system.

[0033] The following further describes in detail the specific embodiments of the present invention with reference to the accompanying drawings. Description of the Drawings

[0034] The accompanying drawings, as part of this application, are used to provide a further understanding of the present invention. The schematic embodiments and descriptions of the present invention are used to explain the present invention, but do not constitute an improper limitation of the present invention. Obviously, the accompanying drawings in the following description are only some embodiments, and those of ordinary skill in the art can obtain other drawings according to these drawings without creative efforts. In the drawings:

[0035] Figure 1 It is a schematic flowchart of the method of the present invention;

[0036] Figure 2 It is a schematic diagram of the architecture of a certain actual thermal management system in an embodiment of the present invention.

[0037] In the figure: C01~C16 are component models, where -- pipeline C01, low-pressure booster pump C02, pipeline C03, pipeline C04, high-pressure booster pump C05, pipeline C06, pipeline C07, metering valve C08, pipeline C09, fuel-oil heat exchanger C10, pipeline C11, fuel nozzle C12, pipeline C13, differential pressure valve C14, pipeline C15, pipeline C16; N01~N16 are node models to realize the connection between components.

[0038] It should be noted that these drawings and text descriptions are not intended to limit the scope of the concept of the present invention in any way, but to illustrate the concept of the present invention to those skilled in the art by referring to specific embodiments. Specific embodiments

[0039] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. The following embodiments are used to illustrate the present invention, but are not used to limit the scope of the present invention.

[0040] Embodiment

[0041] As Figure 1 shown, a flexible and intelligent modeling and simulation method for a one-dimensional thermal management system in this embodiment includes the following steps:

[0042] S1 - Establish a database of component models for the one-dimensional thermal management system

[0043] S11 - Establish a database of physical property parameters of the working medium for the one-dimensional thermal management system

[0044] Write functions of physical property parameters of the working medium and store them in the database. For example Figure 2 the example thermal management system is the fuel thermal management system of a certain aero-engine, and the working medium running in it is fuel. Then, functions of various physical properties of fuel, including specific heat capacity, density, viscosity, thermal conductivity, etc., changing with temperature and pressure need to be written and stored; the stored physical property functions of the working medium can be directly called when establishing other thermal management system models, thereby improving the convenience of simulation modeling.

[0045] S12 - Establish a database of simulation models of components for the one-dimensional thermal management system

[0046] By examining the physical processes of the working medium flowing through the components, extracting characteristics such as the flow and heat transfer of the components, and combining conditions such as flow conservation, energy conservation, and pressure difference balance, component models are modularly established and stored in the database, and the logic of simulation modeling is improved by standardizing the input and output of component model functions. The stored component model functions can be directly called when establishing other thermal management system models, thereby improving the standardization and convenience of simulation modeling. For example Figure 2In an example thermal management system, there are various components such as pipelines, low-pressure boost pumps, high-pressure boost pumps, metering valves, differential pressure valves, fuel nozzles, fuel-oil heat exchangers, etc. Among them, the low-pressure boost pump and the high-pressure boost pump play the role of boosting the working medium and can be classified as boost pump models. The metering valve, differential pressure valve, and fuel nozzle play a throttling role and can be classified as throttling component models. For different components belonging to the same component type, the model functions they call are the same, only differing in component characteristics, thus improving the generality and convenience of simulation modeling.

[0047] S2 - Flexible networking of the thermal management network model

[0048] S21 - Convenient input of the model architecture

[0049] The model architecture is input using a text file txt, and the logic of simulation modeling is improved through a standardized input format; for example, Figure 2 A possible input method for the architecture of the example thermal management system is shown in Table 1, which realizes the conversion of the graphical and abstract thermal management system architecture network into a standardized text form that can be easily read by a computer.

[0050] Table 1

[0051] Component Naming Component Type Component Number Component Inlet Node Number Component Outlet Node Number Pipeline Pipeline Model C01 N01 N02 Low-Pressure Booster Pump Booster Pump Model C02 N02 N03 Pipeline Pipeline Model C03 N03 N04 Pipeline Pipeline Model C04 N04 N05 High-Pressure Booster Pump Booster Pump Model C05 N05 N06 Pipeline Pipeline Model C06 N06 N07 Pipeline Pipeline Model C07 N07 N08 Metering Valve Throttle Component Model C08 N08 N09 Pipeline Pipeline Model C09 N09 N10 Fuel-Oil / Lubricating Oil Heat Exchanger Heat Exchanger Model C10 N10 N11 Pipeline Pipeline Model C11 N11 N12 Fuel Nozzle Throttle Component Model C12 N12 N13 Pipeline Pipeline Model C13 N07 N14 Differential Pressure Valve Throttle Component Model C14 N14 N15 Pipeline Pipeline Model C15 N15 N04 Pipeline Pipeline Model C16 N11 N16

[0052] S22 - Convenient input of boundary conditions

[0053] The calculation boundary conditions are declared using a text file txt, and the logic of simulation modeling is improved through a standardized input format. The standardized input of boundary conditions is expressed in the form of declaring the flow rate / temperature / pressure parameters at each boundary node, where the boundary node refers to the inlet or outlet of the entire thermal management system. For example, Figure 2 The fuel thermal management system of a certain aeroengine receives fuel provided by the aircraft fuel tank at the inlet node N01. After the fuel flows through various components in the thermal management system, one part passes through the fuel nozzle C12 and then flows out of the thermal management system from the outlet node N13 and goes to the combustion chamber for combustion, and the other part flows out of the thermal management system from the outlet node N16 via the return oil pipeline C16 and returns to the aircraft fuel tank.

[0054] S23 - Automatic generation of balance equations

[0055] Through a series of algorithms, after reading the input simulation model and boundary conditions, the automatic generation of the digital model network of the thermal management system is realized, and the balance equations and unknowns required to solve the model network are confirmed. Generally speaking, the unknowns of the digital model network of the thermal management system are the flow rates passing through each component, and the balance equations include the node flow conservation equation, the node pressure balance equation, and the node energy conservation equation.

[0056] Efficient calculation of the S3 - thermal management network model

[0057] By developing a solution algorithm, the above - mentioned balance equations are solved with high efficiency and high precision to achieve the efficient calculation of the thermal management network model. It should be noted that the balance equations of the thermal management system have extremely strong non - linear and implicit function characteristics, and a solution algorithm needs to be developed specifically. The practice of relevant materials and examples shows that genetic algorithms, particle swarm algorithms, etc. have good stability and accuracy when solving such balance equations.

[0058] Efficient calculation of the S4 - thermal management network model

[0059] After the simulation calculation is completed, the program automatically outputs parameters such as the pressure and temperature of each node and the flow rate of each component in the form of a text file (txt), and improves the logic and convenience of the simulation modeling through a standardized output format. In addition, in addition to the pressure and temperature of each node and the flow rate of each component, any parameters that need to be viewed for each component can be customized when establishing the component model in step S12, thus greatly broadening the scope of application of the simulation modeling method. For example, generally speaking, for the booster pump component model, the parameters that are more interesting in engineering are the mass, power, efficiency, etc. of the pump; for the heat exchanger component, parameters such as its mass and heat transfer power can also be customized for output; for the throttling component, parameters such as its mass and pressure potential energy loss can be customized for output.

[0060] The above - mentioned are only the preferred embodiments of the present invention, and there is no limitation to the present invention in any form. Although the present invention has been disclosed above with the preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art of this patent, without departing from the scope of the technical solution of the present invention, can make some changes or modifications using the technical content prompted above as equivalent embodiments of equivalent changes. However, as long as the content does not depart from the technical solution of the present invention, any simple modification, equivalent change, and modification made to the above - mentioned embodiments according to the technical essence of the present invention still fall within the scope of the present invention's solution.

Claims

1. A flexible and intelligent modeling and simulation method for a one-dimensional thermal management system, characterized in that: The method comprises the following steps: Step S1) Establishing a one-dimensional thermal management system component model database: Step S11) Establishing a physical property parameter database of the working fluid of the one-dimensional thermal management system: compiling a working fluid physical property parameter function and storing it in the database; Step S12) Establishing a simulation model database of one-dimensional thermal management system components: by examining the physical process of the working fluid flowing through the components, extracting the flow and heat transfer characteristics of the components, modularly establishing component models and storing them in the database, and by standardizing the input and output of component model functions, improving the logic and convenience of simulation modeling; Step S2) Flexible networking of thermal management network model: Step S21) Convenient input of model architecture: Use text file txt to input model architecture, and improve the logic of simulation modeling through standardized input format; Step S22) Convenient input of boundary conditions: using a text file txt to declare the calculation boundary conditions, and improving the logic of simulation modeling through a standardized input format; Step S23) Automatic generation of equilibrium equations: After reading the input simulation model and boundary conditions, a series of algorithms are used to automatically generate a digital model network of the thermal management system, and to confirm the equilibrium equations and unknowns required to solve the model network; Step S3) Efficient calculation of thermal management network model: By developing a solution algorithm to solve the above balance equations, efficient calculation of the thermal management network model can be achieved; Step S4) Post-processing of thermal management system modeling and simulation: After the simulation calculation is completed, the program automatically outputs parameters such as pressure, temperature of each node and flow rate of each component in the form of a text file txt, and improves the logic and convenience of simulation modeling through standardized output format.

2. A one-dimensional thermal management system flexible intelligent modeling and simulation method according to claim 1, characterized in that: The one-dimensional thermal management system includes a working fluid, components and nodes. The nodes and components form a thermal management system network, and the working fluid flows in the thermal management system network; wherein the component models each have only one working fluid inlet and one working fluid outlet, and the node model has no requirements on the number of working fluid inlets and outlets, wherein a node with only one inlet or outlet is defined as a "boundary node", a node with one inlet and one outlet is defined as a "connection node", and a node with multiple inlets or outlets is defined as a "divider node".

3. The flexible and intelligent modeling and simulation method for a one-dimensional thermal management system according to claim 1 is characterized in that: In step S11), the working fluid physical property parameter function includes the relationship between the specific heat capacity, thermal conductivity, viscosity, density parameters of the working fluid and the temperature and pressure.

4. The flexible and intelligent modeling and simulation method for a one-dimensional thermal management system according to claim 1 is characterized in that: In step S12), the component model is modeled or redeveloped using a zero-dimensional, one-dimensional or three-dimensional model.

5. The flexible and intelligent modeling and simulation method for a one-dimensional thermal management system according to claim 1 is characterized in that: In step S21), the standardized input of the model architecture is expressed in the form of listing the component numbers and their import and export node numbers, and at the same time declaring the model function name called by the component in the database and the component characteristic parameters.

6. The flexible and intelligent modeling and simulation method for a one-dimensional thermal management system according to claim 1 is characterized in that: In step S22), the normalized input of the boundary conditions is expressed in the form of declaring the flow, temperature and pressure parameters at each boundary node.

7. The flexible and intelligent modeling and simulation method for a one-dimensional thermal management system according to claim 1 is characterized in that: In step S23), the digital model network of the thermal management system complies with the balance conditions of the working fluid flow conservation at the inlet and outlet of the components, the working fluid pressure balance at the nodes, and the flow and energy conservation at the nodes.

8. A computer device, characterized in that: It comprises a memory and a processor, wherein the memory is used to store computer programs or instructions, and the processor is used to call the computer programs or instructions stored in the memory, so that the computer device executes the method as described in any one of claims 5-7.

9. A computer-readable storage medium, characterized in that: The method comprises instructions which, when executed on a computer, cause the computer to execute the method according to any one of claims 1 to 7.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the method according to any one of claims 1 to 8 is implemented.

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