Method and electronic device for simulating and analyzing thermal network of passenger compartment

Abstract

Embodiments of the present application disclose a kind of passenger cabin thermal network simulation analysis method and electronic equipment, the method can include: the thermal environment modeling simulation of passenger cabin obtains simulation result, based on the segmentation rule of pre-set, solid domain and gas domain are segmented, obtain multiple sub-solid and multiple sub-gas space;Analysis simulation result obtains heat conduction parameter, exchange parameter, convection parameter and boundary condition parameter;With each sub-solid as node, heat conduction edge connected adjacent sub-solid is connected using heat conduction parameter representation, obtains solid network model;With each sub-gas space as node, exchange edge connected adjacent sub-gas space is connected using exchange parameter representation, obtains gas network model;Using convection edge represented by convection parameter, connect sub-solid and adjacent sub-gas space, obtain the thermal network model of passenger cabin;Based on thermal network model and thermal environment parameter, the thermal network simulation analysis of passenger cabin is carried out;Reduce the amount of operation of simulation analysis, improve the speed and efficiency of simulation analysis.

Description

Technical Field

[0001] This application relates to the field of passenger cabin modeling and simulation technology, and in particular to a method and electronic device for thermal network simulation analysis of a passenger cabin. Background Technology

[0002] With the increasing prevalence of vehicles, analyzing the thermal environment within the passenger compartment is of great significance, as it can optimize thermal comfort, ensure driving safety, improve energy efficiency, assist in system design and optimization, and meet personalized needs. Among these methods, applying Computational Fluid Dynamics (CFD) technology to simulate the passenger compartment allows for the numerical simulation of gas flow and heat transfer processes within the compartment by establishing an accurate 3D model. This enables the acquisition of temperature at any location within the passenger compartment, providing data support for analyzing the thermal environment and optimizing performance. While CFD passenger compartment simulation offers high detail, it suffers from high computational load, slow calculation speed, and difficulty in coupling with thermal management control models (1D) and air conditioning system models (1D) for full-condition-level simulation.

[0003] It is evident that existing CFD methods for simulating and analyzing the thermal environment of the crew cabin suffer from problems such as high computational load and slow calculation speed. Summary of the Invention

[0004] This application discloses a thermal network simulation analysis method and electronic device for a passenger cabin, which reduces the computational load of passenger cabin simulation analysis to improve the speed and efficiency of simulation analysis.

[0005] In a first aspect, embodiments of this application disclose a thermal network simulation analysis method for a passenger compartment, including: The thermal environment of the crew cabin was modeled and simulated using modeling and simulation methods to obtain simulation results and determine the solid and gas domains in the modeling and simulation model. Based on preset segmentation rules, the solid domain and the gas domain are segmented to obtain multiple sub-solid and multiple sub-gas spaces respectively; Analyzing the simulation results, thermal environment parameters are obtained. These thermal environment parameters include at least the heat conduction parameters between adjacent sub-solids, the mass transfer parameters between adjacent sub-gas spaces, the convection parameters between adjacent sub-solids and sub-gas spaces, and the boundary condition parameters. Using each sub-solid as a node, adjacent sub-solids are connected by thermal conduction edges characterized by the thermal conduction parameters to obtain a solid network model; using each sub-gas space as a node, adjacent sub-gas spaces are connected by mass transfer edges characterized by the mass transfer parameters to obtain a gas network model; and using convection edges characterized by the convection parameters, the sub-solids in the solid network model and adjacent sub-gas spaces in the gas network model are connected to obtain a thermal network model of the crew compartment. Based on the thermal network model and the thermal environment parameters, a thermal network simulation analysis was performed on the crew cabin.

[0006] Secondly, embodiments of this application disclose an electronic device, including: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the thermal environment simulation analysis method for the crew cabin as described in any of the first aspects of the embodiments of this application.

[0007] Thirdly, embodiments of this application disclose a computer-readable storage medium storing a computer program thereon, wherein the program, when executed by a processor, comprises the steps of the method described in the first aspect.

[0008] Fourthly, embodiments of this application disclose a computer program product that, when run on a computer, causes the computer to perform some or all of the steps of any of the methods in the first aspect.

[0009] Fifthly, embodiments of this application disclose an application publishing platform for publishing computer program products, wherein when the computer program product is run on a computer, the computer performs some or all of the steps of any of the methods in the first aspect.

[0010] Compared with the prior art, the embodiments of this application have the following beneficial effects: In this embodiment, the thermal environment of the crew cabin is first modeled and simulated using a modeling and simulation method to obtain simulation results. Then, based on preset segmentation rules, the solid domain in the modeling and simulation model is segmented to obtain multiple sub-solids, and the gas domain in the modeling and simulation model is segmented to obtain multiple sub-gas spaces. The simulation results are analyzed to obtain thermal environment parameters, which include at least: heat conduction parameters between adjacent sub-solids, mass transfer parameters between adjacent sub-gas spaces, convection parameters between adjacent sub-solids and sub-gas spaces, and boundary condition parameters. Then, for each sub-solid, using each sub-solid as a node, the heat conduction edge characterized by the heat conduction parameters is used to connect the sub-solid and its adjacent sub-solids. By connecting solids to obtain a solid network model, and for multiple sub-gas spaces, each sub-gas space is used as a node, and the sub-gas space is connected to its adjacent sub-gas spaces using the mass transfer edge characterized by the mass transfer parameter. Then, the convection edge characterized by the convection parameter is used to connect the sub-solids in the solid network model and the adjacent sub-gas spaces in the gas network model, thus obtaining the thermal network model corresponding to the thermal environment of the crew cabin. This enables the establishment of a one-dimensional thermal network model of the crew cabin thermal environment based on the modeling and simulation model and simulation results of the crew cabin. Based on this thermal network model and thermal environment parameters, thermal network simulation analysis of the crew cabin can be performed, which can reduce the computational load of simulation analysis and improve the speed and efficiency of simulation analysis.

[0011] Furthermore, since the thermal network model is one-dimensional, it can be thermally coupled with one-dimensional thermal management control models and air conditioning system models to perform full-condition simulation analysis, thereby improving the comprehensiveness and accuracy of the simulation. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 This is a flowchart illustrating the thermal network simulation analysis method for the passenger compartment disclosed in Embodiment 1 of this application; Figure 2 This is a schematic diagram of the preset dividing surface disclosed in the embodiments of this application; Figure 3 This is a flowchart illustrating the thermal network simulation analysis method for the passenger compartment disclosed in Embodiment 2 of this application; Figure 4 This is a flowchart illustrating the thermal network simulation analysis method for the passenger compartment disclosed in Embodiment 3 of this application; Figure 5 This is a schematic diagram of the segmentation of the modeling and simulation model disclosed in an embodiment of this application; Figure 6 This is a schematic diagram of the solid-state network model disclosed in the embodiments of this application; Figure 7 This is a schematic diagram of the gas network model disclosed in the embodiments of this application; Figure 8 This is a schematic diagram of the thermal network model disclosed in an embodiment of this application; Figure 9 This is a schematic diagram of the simulation analysis based on the thermal network model disclosed in the embodiments of this application; Figure 10 This is a schematic diagram of the thermal network simulation analysis device for the crew compartment disclosed in the embodiments of this application; Figure 11 This is a schematic diagram of the structure of the electronic device disclosed in the embodiments of this application. Detailed Implementation

[0014] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0015] It should be noted that the terms "first," "second," and "third," etc., in the specification and claims of this application are used to distinguish different objects, not to describe a specific order. The terms "comprising" and "having," and any variations thereof, in the embodiments of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products, or devices.

[0016] This application provides a thermal network simulation analysis method for a passenger compartment, which can be applied to one or more electronic devices. The electronic devices can store computer programs and have the ability to automatically perform numerical calculations and / or information processing. Their hardware includes, but is not limited to, the following types: general-purpose computing hardware, such as microprocessors (core computing units), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), embedded devices, vehicle computers, etc.

[0017] Electronic devices can be any electronic product capable of human-computer interaction, such as personal computers, tablets, smartphones, personal digital assistants (PDAs), game consoles, etc. Electronic devices can also be any type of server, including but not limited to: physical servers, virtual servers, cloud servers, etc.

[0018] Complex simulation software can be deployed on electronic devices, such as high-precision simulation models based on multibody dynamics and fluid mechanics. 1D simulation software can also be deployed. 1D simulation software can automatically generate 1D crew cabin simulation models in mature software through scripts, or it can generate 1D crew cabin simulation models entirely through code. C, Python, M, and other languages ​​can be used.

[0019] Furthermore, the passenger cabin involved in this application can be a passenger cabin in a passenger car, commercial vehicle, train, etc., or it can be a passenger cabin in any type of aircraft such as a helicopter, passenger plane, electric vertical take-off and landing (eVTOL) aircraft, manned rocket, or spacecraft.

[0020] Based on this, this application discloses a thermal network simulation analysis method and electronic device for a passenger compartment, which reduces the computational load of passenger compartment simulation analysis, improves the speed and efficiency of simulation analysis, and can achieve thermal coupling with other 1D thermal management models and air conditioning system models, thereby improving the comprehensiveness and accuracy of the simulation. The technical solution of this application will be described in detail below through specific embodiments.

[0021] Please see Figure 1 , Figure 1 This is a flowchart illustrating the thermal network simulation analysis method for the crew compartment disclosed in Embodiment 1 of this application; as shown... Figure 1 As shown, the thermal network simulation analysis method for the crew compartment may include: 101. Use modeling and simulation methods to model and simulate the thermal environment of the crew cabin, obtain simulation results, and determine the solid domain and gas domain in the modeling and simulation model.

[0022] The execution subject of this application embodiment is an electronic device.

[0023] In this embodiment, the thermal environment performance of the passenger cabin can be evaluated under all operating conditions by modeling and simulating the thermal environment during the design evaluation phase of the passenger cabin. Modeling involves creating a geometric model, typically a three-dimensional model, based on the physical structure of the passenger cabin, such as its physical space and dimensions. Then, the operating parameters to be simulated are determined, such as airflow, air temperature, illumination conditions, and airflow velocity, as well as boundary conditions (such as ambient temperature, solar radiation, and equipment heating power). Through the simulation process of the passenger cabin, detailed simulation results are obtained, which at least include information such as temperature distribution and gas flow under all operating conditions.

[0024] At the same time, based on the simulation results and the physical structure of the crew cabin, the solid domain (such as cabin structure, equipment, seats, etc.) and gas domain (such as cabin air) in the modeling simulation model are determined.

[0025] For example, the modeling and simulation method can be a CFD-based crew cabin simulation modeling method.

[0026] 102. Based on the preset segmentation rules, the above solid domain and gas domain are segmented to obtain multiple sub-solid and multiple sub-gas spaces respectively.

[0027] Optionally, the preset segmentation rules can be a set of methods, rules, or models for segmenting the solid and gas domains. For example, the preset segmentation rules could be preset segmentation surfaces or preset adaptive segmentation rules. The preset segmentation surfaces could be several surfaces along the X, Y, and Z directions, with a corner point of the modeling simulation model (e.g., the lower left corner of the head facing the head) as the origin. These surfaces would divide the solid domain into multiple sub-solids and the gas domain into multiple sub-gas spaces. The preset adaptive segmentation rules could comprehensively consider the geometry, temperature distribution, and gas flow of the solid and gas domains to perform the segmentation, dividing the solid domain into multiple sub-solids and the gas domain into multiple sub-gas spaces.

[0028] For example, such as Figure 2 As shown, Figure 2 This is a schematic diagram of the preset segmentation surface disclosed in the embodiments of this application. The preset segmentation surface is set based on the modeling and simulation model of the passenger cabin. The origin is the lower left corner of the head in the modeling and simulation model. The X-axis is along the tail direction, the Y-axis is along the lateral direction of the head, and the Z-axis is along the top direction. Two cutting surfaces are set in each direction, thus dividing the coordinate axis into three parts in each of the three directions. Coordinate values ​​are set for each of the three parts on the coordinate axis. The coordinate values ​​for the three parts along the X-axis are i=0, 1, 2; the coordinate values ​​for the three parts along the Y-axis are j=0, 1, 2; and the coordinate values ​​for the three parts along the Z-axis are k=0, 1, 2, thus dividing the modeling and simulation model of the passenger cabin into 3...3 =27 subspaces, and then the solid domain and gas domain are divided based on these 27 subspaces. The position coordinates of the sub-solid or sub-gas space in a certain subspace are the position coordinates of that subspace.

[0029] Optionally, the number of segmented surfaces can be set according to the actual situation. Too few surfaces will be insufficient in reflecting the temperature distribution gradient inside the occupant cabin, while too many surfaces will increase the amount of computation. By setting an appropriate number of segmented surfaces, a balance can be achieved between the two.

[0030] 103. Analyze the simulation results to obtain the thermal environment parameters, which include at least the heat conduction parameters between adjacent sub-solids, the mass transfer parameters between adjacent sub-gas spaces, the convection parameters between adjacent sub-solids and sub-gas spaces, and the boundary condition parameters.

[0031] The simulation results should include at least: simulation parameters set before the simulation, as well as boundary condition parameters; gas flow conditions, such as accurately capturing the dynamic changes in the circulating flow field within the passenger compartment caused by factors such as vehicle speed changes, light intensity changes, and the start / stop of the air conditioning system, and obtaining the gas flow path; temperature distribution, including the temperature and average temperature at specific points; pressure field correlation values, which can clearly define the pressure distribution at different locations within the passenger compartment; and gas mass and concentration at a specific point. Optionally, based on the simulation results, combined with the segmented sub-solid and sub-gas spaces, the corresponding heat conduction parameters, mass transfer parameters, convection parameters, and boundary condition parameters can be extracted.

[0032] Optionally, the heat conduction parameter includes at least the equivalent thermal conductivity and heat conduction area corresponding to each sub-solid and its adjacent sub-solid; the mass transfer parameter includes at least the flow rate and direction between each sub-gas space and its adjacent sub-gas space; the convection parameter includes at least the convective heat transfer area and convective heat transfer coefficient between each sub-gas space and its adjacent sub-solid; and the boundary condition parameter includes at least one of the following: ambient temperature, external convective heat transfer coefficient, vent flow rate, and vent airflow temperature. The heat conduction parameter reflects the heat transfer rate between two adjacent sub-solids; similarly, the mass transfer parameter reflects the heat transfer rate between two adjacent sub-gas spaces; the convection parameter reflects the heat transfer rate between two adjacent sub-solids and sub-gas spaces; and the boundary condition parameter reflects the heat transfer rate between a sub-solid or sub-gas space and the external environment.

[0033] Based on the material of each sub-solid, the material properties of each sub-solid can be obtained from the simulation parameters, including its thermal conductivity, density, and specific heat capacity. Further, considering whether the sub-solid and its adjacent sub-solids are connected in series or in parallel, the equivalent thermal conductivity of the two can be calculated using a preset averaging method. After segmentation, calculations can be performed based on the geometry of the sub-solids. For complex geometries, the usable area of ​​thermal resistance (the area of ​​the main heat source) can be calculated, and calculations can also be performed according to the flow path to obtain the thermal conductivity area between the sub-solids and their adjacent sub-solids.

[0034] The flow rate between a given sub-gas space and an adjacent sub-gas space can be either the outflow rate from the given sub-gas space to the adjacent sub-gas space, or the inflow rate from the adjacent sub-gas space to the given sub-gas space. During segmentation, the flow area between the sub-gas space and the adjacent sub-gas space can be obtained first, and the average flow velocity across the cross-section of this flow area can be extracted. Combined with the temperature / pressure of this cross-section, the fluid density can be obtained, and the flow rate between the two spaces can be calculated using the appropriate formula.

[0035] To obtain the convective heat transfer area between the sub-gas space and the adjacent sub-solid, for simple geometries, it can be calculated using the area calculation formula. For complex geometries, the contact surface is first divided into multiple regular elements, then the area of ​​each regular element is calculated, and finally integrated to obtain the convective heat transfer area. As for the convective heat transfer coefficient, the fluid density can be obtained first, and the temperature of the convective heat transfer surface of the sub-solid and the surface temperature of the sub-gas space can be extracted from the simulation results, and then the convective heat transfer coefficient can be calculated. Alternatively, based on the fluid flow changes, combined with parameters such as flow rate and specific heat capacity, the heat transferred convectively between the two can be calculated first, and then the convective heat transfer coefficient can be derived.

[0036] 104. Using each sub-solid as a node, connect adjacent sub-solids with thermal conduction edges characterized by thermal conduction parameters to obtain a solid network model; using each sub-gas space as a node, connect adjacent sub-gas spaces with mass transfer edges characterized by mass transfer parameters to obtain a gas network model; and using convection edges characterized by convection parameters, connect the sub-solids in the solid network model and adjacent sub-gas spaces in the gas network model to obtain a thermal network model of the crew compartment.

[0037] The process of using each sub-solid as a node and connecting adjacent sub-solids using thermal conduction edges characterized by thermal conduction parameters to obtain a solid network model involves: after establishing each sub-solid as a node, connecting two adjacent sub-solids corresponding to that thermal conduction parameter using thermal conduction edges. After connecting all adjacent sub-solids, a solid network model is formed. In conjunction with the explanation in step 103, thermal conduction parameters mainly reflect the heat exchange rate between two adjacent sub-solids. The connection between them is established based on thermal conduction, that is, by using thermal conduction edges to connect them. The thermal conduction parameter is the edge attribute of that thermal conduction edge.

[0038] It should be noted that adjacent sub-solids refer to a pair of sub-solids that are adjacent to each other. Each pair of adjacent sub-solids corresponds to a thermal conductivity parameter. The adjacent relationship means that they are geometrically in direct contact or connected through a thin medium (such as thermally conductive adhesive or air gap).

[0039] It is understandable that the solid network model is a 1D network model.

[0040] The process of using each sub-gas space as a node and connecting adjacent sub-gas spaces with exchange edges characterized by exchange parameters to obtain a gas network model means that after taking each sub-gas space as a node, two adjacent sub-gas spaces are connected by exchange edges characterized by exchange parameters. After completing the connection of all adjacent sub-gas spaces, all sub-gas spaces form a gas network model.

[0041] It is understandable that the gas network model is a 1D network model.

[0042] Specifically, the thermal network model of the crew cabin is obtained by connecting the convection edges characterized by convection parameters in the solid network model and the adjacent sub-gas spaces in the gas network model. This means that in the 1D solid network model and gas network model, the convection edges characterized by convection parameters are used to connect the adjacent sub-solid and sub-gas spaces corresponding to the convection parameters. After all the adjacent sub-solid and sub-gas spaces are connected, the solid network model and the gas network model are combined to form the thermal network model of the crew cabin thermal environment.

[0043] It should be noted that an adjacent sub-gas space represents a pair of sub-gas spaces that are adjacent to each other. Each pair of adjacent sub-gas spaces corresponds to a mass transfer parameter. The adjacency relationship of adjacent sub-gas spaces means that they are geometrically directly connected or interconnected through flow areas such as slits or openings.

[0044] Understandably, this hot network model is also a 1D network model.

[0045] 105. Based on the thermal network model and thermal environment parameters, conduct thermal network simulation analysis of the crew cabin.

[0046] After obtaining the thermal network model through the above steps, thermal network simulation analysis of the passenger compartment can be performed based on the thermal network model and thermal environment parameters. This can improve the simulation speed and can be coupled with the 1D thermal management control model and the 1D air conditioning system model to perform full-condition simulation. Furthermore, it can also perform rapid simulation analysis when the operating condition parameters are modified or adjusted.

[0047] Combining the above steps, it can be seen that after post-processing the simulation results obtained in steps 101-103, various parameters that can be used to build a 1D thermal network model are obtained. In step 104, the thermal network model is built based on these parameters, which is equivalent to realizing the mapping of the 1D thermal network model of the occupant compartment from the modeling and simulation model. This enables the establishment of a model that can be accurately simulated and improves the simulation speed and efficiency.

[0048] As can be seen, in this embodiment, the thermal environment of the crew cabin is first modeled and simulated using a modeling and simulation method to obtain simulation results. Then, based on preset segmentation rules, the solid domain in the modeling and simulation model is segmented to obtain multiple sub-solids, and the gas domain in the modeling and simulation model is segmented to obtain multiple sub-gas spaces. The simulation results are then analyzed to obtain thermal environment parameters, which include at least: heat conduction parameters between adjacent sub-solids, mass transfer parameters between adjacent sub-gas spaces, convection parameters between adjacent sub-solids and sub-gas spaces, and boundary condition parameters. Afterwards, for each sub-solid, using each sub-solid as a node, the heat conduction edge characterized by the heat conduction parameters is used to connect the sub-solid and its adjacent sub-solids. By connecting solids to obtain a solid network model, and for multiple sub-gas spaces, each sub-gas space is used as a node, and the sub-gas space is connected to its adjacent sub-gas spaces using the mass transfer edge characterized by the mass transfer parameter. Then, the convection edge characterized by the convection parameter is used to connect the sub-solids in the solid network model and the adjacent sub-gas spaces in the gas network model, thus obtaining the thermal network model corresponding to the thermal environment of the crew cabin. This enables the establishment of a one-dimensional thermal network model of the crew cabin thermal environment based on the modeling and simulation model and simulation results of the crew cabin. Based on this thermal network model and thermal environment parameters, thermal environment simulation analysis of the crew cabin can be performed, which can reduce the computational load of simulation analysis and improve the speed and efficiency of simulation analysis.

[0049] Furthermore, since the thermal network model is one-dimensional, it can be thermally coupled with one-dimensional thermal management control models and air conditioning system models to perform full-condition simulation analysis, thereby improving the comprehensiveness and accuracy of the simulation.

[0050] Please see Figure 3 , Figure 3This is a flowchart illustrating the thermal network simulation analysis method for the crew compartment disclosed in Embodiment 2 of this application; as shown... Figure 3 As shown, the thermal network simulation analysis method for the crew compartment may include: 301. Use modeling and simulation methods to model and simulate the thermal environment of the crew cabin, obtain simulation results, and determine the solid domain and gas domain in the modeling and simulation model.

[0051] The execution subject of this application embodiment is an electronic device.

[0052] 302. Based on preset segmentation rules, the solid domain and the gas domain are segmented to obtain multiple sub-solid and multiple sub-gas spaces respectively.

[0053] 303. Obtain thermal environment parameters under different working conditions from the simulation results.

[0054] The heat conduction parameter includes at least the equivalent thermal conductivity and thermal conduction area of ​​each sub-solid and its adjacent sub-solid; the mass transfer parameter includes at least the flow rate and flow direction between each sub-gas space and its adjacent sub-gas space; the convection parameter includes at least the convective heat transfer area and convective heat transfer coefficient between each sub-gas space and its adjacent sub-solid; and the boundary condition parameter includes at least one of the following: ambient temperature, external convective heat transfer coefficient, vent flow rate, and vent airflow temperature.

[0055] 304. Obtain the property information of each sub-solid and each sub-gas space from the simulation results; wherein, the property information of the sub-solid includes at least: the thermal conductivity and specific heat capacity of the sub-solid, and the property information of the sub-gas space includes at least: the volume of the sub-gas space.

[0056] It should be noted that steps 303 and 304 can be executed simultaneously. Specifically, by combining the segmented modeling and simulation results, thermal environment parameters and attribute information are obtained through analysis of the simulation results.

[0057] 305. Establish a solid heat conduction table, a mass transfer flow table, a convective heat transfer table, and a boundary condition table. The solid heat conduction table includes the attribute information of each sub-solid under different operating conditions and the heat conduction parameters corresponding to adjacent sub-solids. The mass transfer flow table includes the attribute information of each sub-gas space under different operating conditions and the mass transfer parameters corresponding to adjacent sub-gas spaces. The convective heat transfer table includes the convective parameters between each sub-gas space and adjacent sub-solids under different operating conditions. The boundary condition table includes the boundary condition parameters under different operating conditions.

[0058] In step 305, based on the parameters obtained above under different operating conditions, solid heat conduction tables are established respectively. These tables include different operating condition parameters, attribute information of each sub-solid under each operating condition parameter, and the heat conduction parameters corresponding to the sub-solid and its adjacent sub-solids. Mass transfer flow tables include different operating condition parameters, attribute information of each sub-gas space under each operating condition parameter, and the mass transfer parameters corresponding to the sub-gas space and its adjacent sub-gas spaces. Convective heat transfer tables include different operating condition parameters, attribute information of each sub-gas space under each operating condition parameter, and the mass transfer parameters corresponding to the sub-gas space and its adjacent sub-gas spaces. Boundary condition tables include boundary condition parameters under different operating conditions.

[0059] 306. Using each sub-solid as a node, connect adjacent sub-solids with thermal conduction edges characterized by thermal conduction parameters to obtain a solid network model; using each sub-gas space as a node, connect adjacent sub-gas spaces with mass transfer edges characterized by mass transfer parameters to obtain a gas network model; and using convection edges characterized by convection parameters to connect the sub-solids in the solid network model and adjacent sub-gas spaces in the gas network model to obtain a thermal network model of the crew compartment.

[0060] In some optional implementations, the above-described solid network model, which uses each sub-solid as a node and connects adjacent sub-solids using thermal conductivity edges characterized by thermal conductivity parameters, includes: Using each sub-solid as a node, and sequentially taking each sub-solid as the target sub-solid, the adjacent sub-solids of the target sub-solid are determined. The heat conduction edges, characterized by the heat conduction parameters between the target sub-solid and the adjacent sub-solids, are used to connect the target sub-solid and the adjacent sub-solids to obtain the solid network model.

[0061] Furthermore, the above steps can further include: when modeling the solid network model, one of the multiple sub-solids can be taken as the target sub-solid in sequence, and the corresponding node of the target sub-solid can be determined (including: if the target sub-solid has not yet set a corresponding node, set the corresponding node of the target sub-solid first; if the target sub-solid has already set a corresponding node, then it does not need to be set again). Combined with the modeling and simulation model after segmentation based on preset segmentation rules, the adjacent sub-solids of the target sub-solid can be determined, and the corresponding node of the adjacent sub-solid can be determined (including: if the adjacent sub-solid has not yet set a corresponding node, set the corresponding node of the adjacent sub-solid first; if the adjacent sub-solid has already set a corresponding node, then it does not need to be set again). The node corresponding to the target sub-solid is fixed and connected to the node corresponding to the adjacent sub-solid using an edge. This edge is a heat conduction edge, and the attribute of the edge is a heat conduction parameter, thereby realizing the connection between the target sub-solid and the adjacent sub-solid using the heat conduction edge. Repeat the above steps, traversing each sub-solid, until all two sub-solids with an adjacency relationship are connected to obtain the solid network model.

[0062] It should be noted that in the solid network model, sub-solids are represented by nodes, which can be represented by arbitrary geometric shapes and can be combined with attached... Figure 2 The introduction uses the position coordinates corresponding to the sub-solids to name them.

[0063] It should also be noted that a solid network model may include one or more subnetworks. If it includes only one subnetwork, it means that all nodes are in the same subnetwork through adjacency. If it includes multiple subnetworks, the nodes in each subnetwork are in the same subnetwork through adjacency, but the two subnetworks are disconnected and not connected.

[0064] In some optional implementations, the above-described gas network model, which uses each sub-gas space as a node and connects adjacent sub-gas spaces using exchange edges characterized by exchange parameters, includes: Using each sub-gas space as a node, and sequentially taking each sub-gas space as the first target sub-gas space, the adjacent sub-gas spaces of the first target sub-gas space are determined. The mass transfer edges characterized by the mass transfer parameters between the first target sub-gas space and the adjacent sub-gas spaces are connected to obtain the gas network model.

[0065] Furthermore, the above steps may further include: when modeling the gas network model, one of the multiple sub-gas spaces can be sequentially taken as the first target sub-gas space, and the nodes corresponding to the first target sub-gas space can be determined (including: if the first target sub-gas space has not yet set corresponding nodes, set the corresponding nodes of the first target sub-gas space first; if the first target sub-gas space has already set corresponding nodes, then it is not necessary to set them again), combined with the modeling and simulation model after segmentation based on preset segmentation rules, to determine the adjacent sub-solids of the first target sub-gas space, and to determine the corresponding sub-solids of the adjacent sub-gas spaces. Nodes (including: if the adjacent sub-gas space does not yet have a corresponding node, set the corresponding node for the adjacent sub-gas space first; if the adjacent sub-gas space already has a corresponding node, then no further setting is needed) are connected to the nodes corresponding to the first target sub-gas space and the nodes corresponding to the adjacent sub-gas spaces using edges. These edges are heat conduction edges, and their attributes are heat conduction parameters, thereby connecting the first target sub-gas space and the adjacent sub-gas spaces using heat conduction edges. The above steps are repeated to traverse each sub-gas space until all two adjacent sub-gas spaces are connected to obtain the gas network model.

[0066] It should be noted that in the gas network model, sub-gas spaces are represented by nodes. Nodes can be represented by arbitrary geometric shapes different from the node graphs of sub-solids, and can be combined with attached... Figure 2 The introduction uses the position coordinates corresponding to the sub-gas space to name them.

[0067] It should also be noted that the gas network model may include one or more subnetworks. If it includes only one subnetwork, it means that all nodes are in one subnetwork through adjacency. If it includes multiple subnetworks, the nodes in each subnetwork are in one subnetwork through adjacency, but the two subnetworks are disconnected and not connected.

[0068] In some optional implementations, the convection edges characterized by convection parameters are used to connect the sub-solid spaces in the solid network model and the adjacent sub-gas spaces in the gas network model to obtain the thermal network model of the crew compartment, including: Each sub-gas space in the gas network model is used as the second target sub-gas space. The adjacent sub-solids in the solid network model are determined. The convection edges characterized by the convection parameters between the second target sub-gas space and the adjacent sub-solids are connected to the adjacent sub-solids in the solid network model to obtain the thermal network model.

[0069] In this process, after obtaining the solid network model and the gas network model as described above, a sub-gas space in the gas network model is used as the second target sub-gas space. Combined with the modeling and simulation model segmented according to preset segmentation rules, the adjacent sub-solids of the second target sub-gas space are determined from the solid network model. Then, the convection edges, characterized by the convection parameters corresponding to the second target sub-gas space and the adjacent sub-solids, are used to connect the two. This process is repeated, traversing each sub-gas space, and then connecting the solid network model and the gas network model to obtain the thermal network model.

[0070] It should be noted that the thermal network model includes only one sub-network. Even if the solid network model and / or gas network model include multiple sub-networks, all sub-networks are connected into a larger network after connecting the sub-gas space with the adjacent sub-solid.

[0071] It should be noted that the adjacency relationship between sub-gas spaces and sub-solids includes: sub-solids within a sub-gas space (sub-solids are completely within the sub-gas space), and connected sub-solids at the boundary of a sub-gas space (sub-gas spaces and sub-solids are connected by a contact surface). Therefore, the adjacent sub-solids of the second target sub-gas space include: sub-solids within the second target sub-gas space (completely within the second target sub-gas space), such as seats in the crew compartment, or sub-solids at the boundary of the second target sub-gas space, such as the cabin shell and crew compartment space of the crew compartment.

[0072] 307. Based on the solid heat conduction table, mass transfer flow table, convective heat transfer table, and boundary condition table, conduct a thermal network simulation analysis of the crew compartment based on this thermal network model.

[0073] Based on the solid heat conduction table, mass transfer flow table, convective heat transfer table, and boundary condition table, and then through the thermal network model, the thermal network simulation analysis of the crew cabin under all operating conditions can be performed.

[0074] Optionally, step 307 may include: obtaining the boundary temperature of any node in the thermal network model based on the solid heat conduction table, mass transfer flow table, convective heat transfer table, and boundary condition table.

[0075] Here, the boundary temperature of any node refers to the boundary temperature of that node at the next instant. Typically, nodes exchange heat with other adjacent sub-solid and / or sub-gas spaces at their boundary surfaces, and the boundary temperature refers to the temperature of the node's boundary surface. By looking up a table, the boundary temperature of a node at the next instant under certain operating parameters is predicted for thermal network analysis.

[0076] As can be seen, in this embodiment, the thermal environment of the crew cabin is first modeled and simulated using a modeling and simulation method to obtain simulation results. Then, based on preset segmentation rules, the solid domain in the modeling and simulation model is segmented to obtain multiple sub-solids, and the gas domain in the modeling and simulation model is segmented to obtain multiple sub-gas spaces. The simulation results are analyzed to obtain thermal environment parameters and extract attribute information of the sub-solids and sub-gas spaces, respectively establishing solid heat conduction tables, mass transfer flow tables, convective heat transfer tables, and boundary condition tables. Subsequently, for multiple sub-solids, each sub-solid is used as a node, and the heat conduction edge characterized by the heat conduction parameters is used to connect the sub-solid and its adjacent sub-solids. The solid network model is obtained by connecting the solids together. For multiple sub-gas spaces, each sub-gas space is used as a node, and the sub-gas space is connected to the adjacent sub-gas space using the mass transfer edge characterized by the mass transfer parameter. Then, the convection edge characterized by the convection parameter is used to connect the sub-solids in the solid network model and the adjacent sub-gas spaces in the gas network model to obtain the thermal network model corresponding to the thermal environment of the crew cabin. Finally, based on the establishment of solid heat conduction table, mass transfer flow table, convection heat transfer table and boundary condition table, thermal network simulation analysis under full operating conditions can be performed based on the thermal network model. The computational load is low, which improves the speed and efficiency of simulation analysis.

[0077] Furthermore, since the thermal network model is one-dimensional, it can be thermally coupled with one-dimensional thermal management and control models and air conditioning system models to perform full-condition simulation analysis, thereby improving the accuracy and comprehensiveness of the simulation.

[0078] Please see Figure 4 , Figure 4 This is a flowchart illustrating the thermal network simulation analysis method for the crew compartment disclosed in Embodiment 3 of this application; as shown... Figure 4 As shown, the thermal network simulation analysis method for the crew compartment may include: 401. Use modeling and simulation methods to model and simulate the thermal environment of the crew cabin, obtain simulation results, and determine the solid domain and gas domain in the modeling and simulation model.

[0079] 402. Based on preset segmentation rules, the solid domain and the gas domain are segmented to obtain multiple sub-solid and multiple sub-gas spaces respectively.

[0080] 403. Obtain thermal environment parameters under different working conditions from the simulation results.

[0081] The thermal environment parameters include heat conduction parameters, mass transfer parameters, convection parameters, and boundary condition parameters. The heat conduction parameters include at least the equivalent thermal conductivity and heat transfer area of ​​each sub-solid and its adjacent sub-solid. The mass transfer parameters include at least the flow rate and direction between each sub-gas space and its adjacent sub-gas space. The convection parameters include at least the convective heat transfer area and convective heat transfer coefficient between each sub-gas space and its adjacent sub-solid. The boundary condition parameters include at least one of the following: external ambient temperature, external convective heat transfer coefficient, vent flow rate, and vent airflow temperature.

[0082] 404. Obtain the property information of each sub-solid and each sub-gas space from the simulation results; wherein, the property information of the sub-solid includes at least: the thermal conductivity and specific heat capacity of the sub-solid, and the property information of the sub-gas space includes at least: the volume of the sub-gas space.

[0083] 405. Establish a solid heat conduction table, a mass transfer flow table, a convective heat transfer table, and a boundary condition table. The solid heat conduction table includes the attribute information of each sub-solid under different operating conditions and the heat conduction parameters corresponding to adjacent sub-solids. The mass transfer flow table includes the attribute information of each sub-gas space under different operating conditions and the mass transfer parameters corresponding to adjacent sub-gas spaces. The convective heat transfer table includes the convective parameters between each sub-gas space and adjacent sub-solids under different operating conditions. The boundary condition parameters include at least one of the following: external ambient temperature, external convective heat transfer coefficient, vent flow rate, and vent airflow temperature.

[0084] 406. Using each sub-solid as a node, connect adjacent sub-solids using thermal conduction edges characterized by thermal conduction parameters to obtain a solid network model; using each sub-gas space as a node, connect adjacent sub-gas spaces using mass transfer edges characterized by mass transfer parameters to obtain a gas network model; and using convection edges characterized by convection parameters to connect the sub-solids in the solid network model and adjacent sub-gas spaces in the gas network model to obtain a thermal network model of the crew compartment.

[0085] 407. Determine the target node from the thermal network model.

[0086] 408. Obtain the temperature calculation model of the target node.

[0087] The temperature calculation model can be established before step 407 and directly obtained and used during the simulation analysis.

[0088] In some optional implementations, the above-mentioned temperature calculation model for obtaining the target node includes: If the target node is a sub-solid in the thermal network model, the first thermal conductivity calculation sub-model between the target node and the adjacent sub-solid is obtained based on the solid thermal conductivity table, and the first convective heat transfer calculation sub-model between the target node and the adjacent sub-gas space is obtained based on the convective heat transfer table. Determine whether the target node is adjacent to the external environment; If not, obtain the temperature calculation model based on the first heat conduction calculation sub-model and the first convection heat transfer calculation sub-model; If so, obtain the second convection heat transfer calculation sub-model between the target node and the external environment. Based on the first heat conduction calculation sub-model, the first convection heat transfer calculation sub-model, and the second convection heat transfer calculation sub-model, obtain the temperature calculation model. The second convection heat transfer calculation sub-model is obtained based on the boundary condition table.

[0089] In this embodiment, a thermal network model is used to determine the adjacent sub-solids and adjacent sub-gas spaces of each sub-solid. A sub-solid may have one or more adjacent sub-solids and adjacent sub-gas spaces. Furthermore, it is necessary to determine whether the sub-solid is adjacent to the external environment based on the boundary condition table. For example, if the sub-solid is the crew compartment shell, its other side will be directly connected to the external environment (air). In this case, the temperature of the sub-solid needs to take into account the convective heat transfer between the sub-solid and the external environment to obtain a second convective heat transfer sub-model for calculating convective heat transfer.

[0090] Optionally, the formula for the first thermal conductivity calculation sub-model between the sub-solid and its neighboring sub-solid is as follows: Q si =Ccondi*Acondi*(T si -T s0 ) (Formula 1).

[0091] Among them, Q si This refers to the heat exchanged between the target node and its i-th neighboring sub-solid. Ccondi is the thermal conductivity (in W / (m²·K)) of the thermal conductivity parameters between the target node and its i-th neighboring sub-solid, and Acondi is the thermally conductive area (in m²) of the thermal conductivity parameters between the target node and its i-th neighboring sub-solid. 2 ), T si T is the temperature of the i-th neighboring solid at the current moment. s0 It is the temperature of the solid at the current moment, and the temperature unit is Kelvin (K).

[0092] Since a subsolid may have multiple neighboring subsolids, for each subsolid, it is necessary to calculate the sum of the conducted heat with all neighboring subsolids, and further obtain a calculation model for the sum of conducted heat exchange: Q s = (Formula 2).

[0093] Formula 1 is used to calculate the heat exchanged through conduction between the sub-solid and each adjacent sub-solid. Then, Formula 2 is used to accumulate all the heat exchanged through conduction to obtain the total heat exchanged through conduction.

[0094] Optionally, the formula for the first convective heat transfer calculation sub-model between the sub-solid and the adjacent sub-gas space is as follows: Q ai =Cconvi*Aconvi*(T ai -T s0 ) (Formula 3).

[0095] Among them, Q ai T is the heat exchanged convectively between the sub-solid (target node) and the i-th adjacent sub-gas space. Cconvi is the convective heat transfer coefficient (in W / (m²·K)) in the convective parameters corresponding to the sub-solid and the i-th adjacent sub-gas space. Aconvi is the convective heat transfer area in the convective parameters corresponding to the sub-solid and the i-th adjacent sub-gas space. ai T is the temperature of the i-th neighboring sub-gas space at the current moment. s0 It is also the temperature of the sub-solid at the current moment in Formula 1.

[0096] Since a subsolid may have multiple adjacent subgas spaces, for the subsolid, it is necessary to calculate the sum of the conductive heat with all adjacent subgas spaces, and further obtain a calculation model for the sum of convective heat exchange: Q a = (Formula 4).

[0097] Formula 3 is used to calculate the heat exchanged by convection between the solid sub-sub ...

[0098] Optionally, if the sub-solid (target node) is adjacent to the external environment, the formula for the second convective heat transfer calculation sub-model of the convective interaction between the sub-solid and the external environment is as follows: Q amb =Cconvamb*Acondvamb*(T amb -T s0 ) (Formula 5).

[0099] Among them, Q amb T represents the heat exchanged convectively between the subsolid and the external environment, Cconvamb is the convective heat transfer coefficient between the subsolid and the external environment (unit: W / (m²·K)), Acondvamb is the convective heat transfer area between the subsolid and the external environment, and T represents the heat exchanged convectively between the subsolid and the external environment. amb T represents the external ambient temperature (external fluid temperature). s0 As described above.

[0100] It should be noted that the convective heat transfer coefficient between the solid and the external environment is affected by many factors. Considering the actual situation of the crew compartment, which is generally in contact with the external environment, the convective heat transfer coefficient is affected by the crew compartment's travel speed (such as vehicle speed). This travel speed is generally the relative speed between the crew compartment and the air, measured in meters per second (m / s). The convective heat transfer coefficient is obtained based on the travel speed, and the calculation formula is as follows: Cconvamb =1.163*(4+12v) (Formula 6).

[0101] Where v is the speed of the crew cabin.

[0102] It should also be noted that, when using driving speed as an operating parameter to obtain the boundary temperature of the target node, it is necessary to determine the operating parameters and then combine them with the solid heat transfer table to obtain the convective heat transfer coefficient Cconvamb.

[0103] Additionally, it should be noted that if the subsolid is not adjacent to the external environment, the heat exchanged between the subsolid and the external environment can be considered to be 0.

[0104] Furthermore, the formula for the sub-solid (target node) temperature calculation model is as follows: =T s0 +(Q s +Q a + Q amb )*ΔT / C P (Formula 7).

[0105] in, It is the temperature of the subsolid at the next moment, ΔT is the duration between the next moment and the current moment, C P Specific heat capacity is a property of the solid.

[0106] It should be noted that if the sub-solid is not adjacent to the external environment, Q is missing in Equation 7. amb Or Q amb The value is considered as 0.

[0107] It should also be noted that the boundary temperature of any sub-solid in the thermal network model at the next moment can be calculated by looking up the various tables given above using Formula 7.

[0108] Optionally, when creating the convection table, the relevant parameters of the sub-solid, such as the convective heat transfer coefficient and convective heat transfer area between the sub-solid and the external environment, are also associated and saved in the convection table when the sub-solid is connected to the external environment.

[0109] In some alternative implementations, the above-described temperature calculation model for obtaining the target node includes: If the target node is a sub-gas space in the thermal network model, a third convective heat transfer calculation sub-model between the target node and the adjacent sub-solid is obtained based on the convective heat transfer table. A total inflow heat calculation sub-model and a total outflow heat calculation sub-model are obtained based on the flow rate and flow direction in the mass transfer parameters. The total inflow heat calculation sub-model is used to characterize the heat exchanged by the mass of the adjacent sub-gas space flowing into the target node, and the total outflow heat calculation model is used to characterize the heat exchanged by the mass of the target node flowing out to the adjacent sub-gas space. Determine whether the target node contains a ventilation opening; If not, obtain the temperature calculation model based on the third convective heat transfer calculation sub-model, the total inflow heat calculation sub-model, and the total outflow heat calculation sub-model. If so, obtain the heat exchange sub-model between the target node and the vent. Based on the third convection heat transfer calculation sub-model, the total inflow heat calculation sub-model, the total outflow heat calculation sub-model, and the heat exchange sub-model, obtain the temperature calculation model. This heat exchange sub-model is determined based on the vent flow rate and vent air temperature in the boundary condition parameters.

[0110] In this embodiment, a thermal network model is used to determine the adjacent sub-solids and adjacent sub-gas spaces of each sub-gas space. A sub-gas space may have one or more adjacent sub-solids and one or more adjacent sub-gas spaces. Furthermore, it is necessary to determine whether the sub-gas space contains a vent (such as an air conditioning vent, an external air inlet, etc.). If the sub-gas space contains a vent, the boundary temperature of the sub-gas space needs to take into account the heat input from the vent to the sub-gas space, obtaining an inflow heat transfer sub-model for calculating this heat.

[0111] Optionally, the formula for the third convective heat transfer calculation sub-model between the sub-gas space and the adjacent sub-solid is as follows: Q _ai =C_convi*A_convi*(T_ si -T_ s0 ) (Formula 8).

[0112] Among them, Q_ ai This refers to the heat exchanged via convection between the sub-gas space (target node) and the i-th adjacent sub-solid. C_convi is the convective heat transfer coefficient (in W / (m²·K)) in the convection parameters corresponding to the sub-gas space and the i-th adjacent sub-solid, and A_convi is the convective heat transfer area (in m²) in the convection parameters corresponding to the sub-gas space and the i-th adjacent sub-solid. 2 ), T_ si T_ is the temperature of the i-th neighboring solid at the current moment. s0 It is the temperature of the gas space at the current moment, and the temperature unit is Kelvin (K).

[0113] Since the sub-gas space may have multiple adjacent sub-solids, for the sub-gas space, it is necessary to calculate the sum of convective heat exchange with all adjacent sub-solids, and further obtain the calculation model for the sum of convective heat exchange: Q_ a = (Formula 9).

[0114] Formula 8 is used to calculate the heat exchanged by convection between the sub-gas space and each adjacent sub-solid. Then, Formula 9 is used to accumulate all the heat exchanged by convection to obtain the total heat exchanged by convection.

[0115] Optionally, the formula for calculating the total inflow heat exchanged by the adjacent sub-gas space mass into the target node is as follows: Q b_in = Hspe* ; Where Hspe= (Formula 10).

[0116] Among them, Q b_in Hspei is the total heat exchanged by the inflow of all adjacent sub-gas spaces due to the mass inflow of the sub-gas space (in J), Hspe is the weighted average specific enthalpy of the total inflow mass (in J / kg), dmi is the flow rate into the i-th adjacent sub-gas space (in kg / s), and hspei is the specific enthalpy of the i-th adjacent sub-gas space (in I = J / kg).

[0117] Optionally, the formula for calculating the total outflow heat of the target node mass flow to the adjacent sub-gas space exchange is as follows: Q b_out =Hspe_out* (Formula 11).

[0118] Among them, Q b_outHspe_out is the total heat exchanged by the sub-gas space due to mass outflow to the adjacent sub-gas space, Hspe_out is the specific enthalpy of the sub-gas space, and dm_i is the outflow rate of the sub-gas space to the i-th adjacent sub-gas space.

[0119] Optionally, the formula for the heat exchange sub-model between the target node and the vent is as follows: Q ac = Hspe_1* ; Hspe_1= (Formula 12).

[0120] Among them, Q ac Hspe_1 is the total heat exchanged by the mass of the gas flowing into the sub-gas space due to the vents within it. Hspe_1 is the weighted average specific enthalpy of the total mass flowing into the vents. dm_j is the flow rate into the sub-gas space from the j-th vent. hspe_j is the specific enthalpy of the j-th vent (unit: I=J / kg).

[0121] Furthermore, the formula for the temperature calculation model of the sub-gas space is as follows: =T a0 *ΔT1; ΔT1=(Q_ a + Q b_in +Q b_ou + Q ac ) / (rho*v_1*Cp_1)(Formula 13).

[0122] in, T is the boundary temperature of the sub-gas space at the next moment. a0 ΔT1 is the boundary temperature at the current moment, ΔT1 is the total duration from the current moment to the next moment, and rho is the density of the sub-gas space (unit: kg / m³). 3 v_1 is the spatial volume of the sub-gas space (unit: m). 3 Cp_1 is the specific heat capacity of the sub-gas space (unit: J / kg / k).

[0123] It should be noted that if there are no ventilation openings in the sub-gas space, Q will be missing in Formula 13. ac Or Q ac The value is considered as 0.

[0124] It should also be noted that the boundary temperature of any sub-gas space in the thermal network model at the next moment can be calculated by looking up the various tables mentioned above using Formula 13.

[0125] Optionally, when establishing the mass exchange flow table, the sub-gas space is also identified. If it includes a vent, the relevant parameters of the sub-gas space and the vent, such as the inflow rate from the vent into the sub-gas space and the specific enthalpy of the vent, are also associated and stored in the mass exchange flow table.

[0126] 409. Based on the solid heat conduction table, mass transfer flow table, convective heat transfer table, and boundary condition table, obtain the boundary temperature of the target node through the temperature calculation model.

[0127] After obtaining the temperature calculation model, the simulation operating parameters are determined during the simulation analysis. If the boundary temperature of a certain node at the next moment is to be known, the values ​​of each parameter in the temperature calculation model can be found in the solid heat conduction table, mass transfer flow table, convective heat transfer table and boundary condition table according to the operating parameters. After substituting them into the temperature calculation model, the boundary temperature of the node can be calculated.

[0128] Optionally, the temperature calculation model can also be a neural network-based training model with the above-mentioned temperature calculation formula built in. When obtaining the boundary temperature of a node in simulation analysis, it is only necessary to determine the simulation operating parameters, find the values ​​of each parameter in the temperature calculation model in the solid heat conduction table, mass transfer flow table, convection heat transfer table, and boundary condition table, input the parameter values ​​and the node (name of the location coordinate) into the training model, and the output obtained is the boundary temperature of that node.

[0129] As can be seen, in the above embodiments, by segmenting the modeling and simulation model, the solid domain and the gas domain are divided into multiple sub-solid and sub-gas spaces respectively. Simulation results under all operating conditions are obtained during modeling and simulation. After analysis, solid heat conduction tables, mass transfer flow tables, convective heat transfer tables, and boundary condition tables are generated. Based on the segmented multiple sub-solid and sub-gas spaces, a thermal network model of the crew cabin thermal environment is generated. Then, based on this thermal network model, and by looking up the various generated tables, the boundary temperature of any node at the next moment is calculated. During simulation analysis, thermal network performance analysis can be performed quickly for a certain operating condition with low computational load, which is beneficial to improving operating speed and efficiency.

[0130] For example, please refer to Figures 5 to 9 ,in, Figure 5 This is a schematic diagram of the segmentation of the modeling and simulation model disclosed in an embodiment of this application. Figure 6 This is a schematic diagram of the solid-state network model disclosed in the embodiments of this application. Figure 7 This is a schematic diagram of the gas network model disclosed in an embodiment of this application. Figure 8 This is a schematic diagram of the heat network model disclosed in an embodiment of this application. Figure 9 This is a schematic diagram of the simulation analysis based on the thermal network model disclosed in the embodiments of this application.

[0131] in, Figures 5-9 The analysis only considers the front and rear seats in the passenger compartment, combined with Figures 5-9 First of all, in Figure 5 In this model, a dividing plane is set in each of the three coordinate axes X1, Y1, and Z1, thus dividing the occupant cabin model into two parts in each of the X1, Y1, and Z1 directions. Each part has coordinate values ​​of 0 and 1 along the coordinate axes, respectively. Combining the divisions in the X1, Y1, and Z1 directions, the model is thus divided into two parts. 3 =8 subspaces, each of which can be represented by position coordinates. Based on the position coordinates of the subspaces where the sub-solid and sub-gas spaces are located, the sub-solid and sub-gas spaces are named respectively, such as the sub-solid space under coordinate (0_0_0) is named: SeatFL_0_0_0 and the sub-gas space is named vol_0_0_0.

[0132] Among them, through Figure 5 After splitting, the resulting sub-solids are: SeatFL_0_0_0, SeatFL_0_0_1, SeatFL_1_0_0, SeatFL_0_1_0, SeatFL_0_1_1, SeatFL_1_1_0, SeatFL_1_0_1, SeatFL_1_1_1, SeatFL_0_1_0, SeatFL_0_1_1.

[0133] through Figure 5 After segmentation, the resulting sub-gas spaces are: vol_0_0_0, vol_1_0_0, vol_0_1_0, vol_1_1_0, vol_0_0_1, vol_1_0_1, vol_0_1_1, vol_1_1_1.

[0134] Furthermore, in combination Figure 5 The segmented modeling and simulation model treats each sub-solid as a node. Figure 6 In the model, rectangles represent sub-solid nodes, and the established solid network model is as follows: Figure 6 As shown.

[0135] Among them, Figure 6In this diagram, SeatFL_0_0_0 and SeatFL_0_0_1 are adjacent sub-solids connected by a thermally conductive edge. SeatFL_1_0_0 is adjacent to SeatFL_1_1_0 and SeatFL_1_0_1 respectively, connected by a thermally conductive edge, and then connected to SeatFL_1_0_0 and SeatFL_1_0_0 by another thermally conductive edge. Additionally, SeatFL_1_1_0 is also adjacent to SeatFL_1_1_1, connected by a thermally conductive edge, and SeatFL_1_1_1 is also adjacent to SeatFL_1_0_1, connected by a thermally conductive edge. SeatFL_0_1_0 and SeatFL_0_1_1 are adjacent sub-solids connected by a thermally conductive edge.

[0136] Furthermore, in combination Figure 5 The segmented modeling and simulation model treats each sub-gas space as a node. Figure 7 In this model, sub-gas spaces are represented by circles, and adjacent sub-gas spaces are connected by exchange edges. The established gas network model is as follows: Figure 7 As shown.

[0137] Furthermore, then targeting Figure 6 Solid network model and Figure 7 The gas network model connects adjacent sub-solid and sub-gas spaces via convection edges. Specifically, SeatFL_0_0_0 and vol_0_0_0 are connected by a convection edge; SeatFL_1_0_0 and vol_1_0_0 are adjacent by a convection edge; SeatFL_1_1_0 and vol_1_1_0 are connected by a convection edge; SeatFL_1_0_1 and vol_1_0_1 are connected by a convection edge; SeatFL_1_1_1 and SeatFL_1_1_1 are connected by a convection edge; SeatFL_0_0_1 and vol_0_0_1_0 are connected by a convection edge; and SeatFL_0_1_1 and vol_0_1_1 are connected by a convection edge. The final result is as follows: Figure 8 The thermal network model of the crew compartment is shown.

[0138] Furthermore, the heat conduction parameters corresponding to the heat conduction edge, the mass transfer parameters corresponding to the mass transfer edge, and the convection parameters corresponding to the convection edge are all saved to, for example, Figure 9 The corresponding table is shown below. Figure 9In this process, after determining the simulation operating parameters (i.e., after inputting the operating parameters), various parameters of the temperature calculation model are obtained by looking up tables, and heat transfer calculations are performed. Specifically, by combining the boundary condition table, the solid heat conduction table is consulted to obtain heat conduction parameters, such as thermal conductivity and thermal conductivity area, and heat conduction calculations are performed to obtain the heat exchanged between adjacent sub-solids. The mass transfer flow table is consulted to obtain mass transfer parameters, and mass transfer calculations are performed to obtain the heat exchanged between adjacent sub-gas spaces. The convection heat transfer table is consulted to obtain convection parameters, and convection calculations are performed to obtain the convective heat exchange between the sub-solid and adjacent sub-gas spaces. Finally, by combining the boundary condition table, the heat exchanged with the external environment or vents is obtained, thus obtaining the boundary temperature of a specific sub-solid or sub-gas space. Figure 9 The external temperature in the boundary conditions table is the external ambient temperature, the air volume is the airflow at the vent, and the air temperature is the airflow temperature at the vent.

[0139] Please see Figure 10 , Figure 10 This is a schematic diagram of the thermal network simulation analysis device for the crew compartment disclosed in the embodiments of this application; as shown... Figure 10 As shown, the thermal network simulation analysis device for the crew compartment may include: The first modeling and simulation module 1001 is used to perform thermal environment modeling and simulation of the crew cabin using modeling and simulation methods, obtain simulation results, and determine the solid domain and gas domain in the modeling and simulation model. The segmentation module 1002 is used to segment the solid domain and the gas domain based on a preset segmentation rule, so as to obtain multiple sub-solid and multiple sub-gas spaces respectively; Analysis module 1003 is used to analyze the simulation results and obtain thermal environment parameters. The thermal environment parameters include at least the heat conduction parameters between adjacent sub-solids, the mass transfer parameters between adjacent sub-gas spaces, the convection parameters between adjacent sub-solids and sub-gas spaces, and the boundary condition parameters. The second modeling and simulation module 1004 is used to obtain a solid network model by connecting adjacent sub-solids with heat conduction edges characterized by the heat conduction parameters, using each sub-solid as a node; to obtain a gas network model by connecting adjacent sub-gas spaces with mass transfer edges characterized by the mass transfer parameters, using each sub-gas space as a node; and to obtain a thermal network model of the crew compartment by connecting the sub-solids in the solid network model and adjacent sub-gas spaces in the gas network model with convection edges characterized by the convection parameters. The second modeling and simulation module 1004 mentioned above is used to perform thermal network simulation analysis on the crew cabin based on the thermal network model and thermal environment parameters.

[0140] To implement the above-mentioned device, the modeling and simulation module 1001 first uses modeling and simulation methods to perform thermal environment modeling and simulation of the crew cabin, obtaining simulation results. Then, the segmentation module 1002, based on preset segmentation rules, segments the solid domain in the modeling and simulation model to obtain multiple sub-solids, and segments the gas domain in the modeling and simulation model to obtain multiple sub-gas spaces. The analysis module 1003 analyzes the simulation results to obtain thermal environment parameters, which include at least: heat conduction parameters between adjacent sub-solids, mass transfer parameters between adjacent sub-gas spaces, convection parameters between adjacent sub-solids and sub-gas spaces, and boundary condition parameters. Afterwards, the second modeling and simulation module 1004, for each sub-solid as a node, uses the heat conduction parameters to characterize the heat conduction boundary. The solid sub-solid and its adjacent solid sub-solids are connected to obtain a solid network model. For multiple sub-gas spaces, each sub-gas space is used as a node, and the sub-gas space is connected to its adjacent sub-gas space using the mass transfer edge characterized by the mass transfer parameter. Then, the convection edge characterized by the convection parameter is used to connect the sub-solid in the solid network model and the adjacent sub-gas space in the gas network model to obtain the thermal network model corresponding to the thermal environment of the crew cabin. Simulation analysis is performed based on the thermal network model. Thus, a one-dimensional thermal network model of the crew cabin thermal environment is established based on the modeling and simulation model of the crew cabin and the simulation results. Based on the thermal network model and thermal environment parameters, thermal environment simulation analysis of the crew cabin can be performed, which can reduce the amount of computation in the simulation analysis and improve the speed and efficiency of the simulation analysis.

[0141] Furthermore, since the thermal network model is one-dimensional, it can be thermally coupled with one-dimensional thermal management and control models and air conditioning system models to perform full-condition simulation analysis, thereby improving the comprehensiveness and accuracy of the analysis.

[0142] In some optional implementations, the analysis module 1003 is used to analyze the simulation results, and the specific method for obtaining the thermal environment parameters is as follows: The thermal environment parameters under different operating conditions are obtained from the simulation results. The heat conduction parameters include at least the equivalent thermal conductivity and thermal conduction area of ​​each sub-solid and its adjacent sub-solid. The mass transfer parameters include at least the flow rate and flow direction between each sub-gas space and its adjacent sub-gas space. The convection parameters include at least the convective heat transfer area and convective heat transfer coefficient between each sub-gas space and its adjacent sub-solid. The boundary condition parameters include at least one of the following: external ambient temperature, external convective heat transfer coefficient, vent flow rate, and vent airflow temperature.

[0143] In some feasible embodiments, the analysis module 1003 is used to analyze the simulation results, obtain thermal environment parameters, and then obtain attribute information of each sub-solid and each sub-gas space from the simulation results. The attribute information of the sub-solid includes at least the thermal conductivity and specific heat capacity of the sub-solid, and the attribute information of the sub-gas space includes at least the volume of the sub-gas space. Furthermore, a solid heat conduction table, a mass transfer flow table, a convection heat transfer table, and a boundary condition table are established. The solid heat conduction table includes attribute information of each sub-solid under different operating conditions and the corresponding heat conduction parameters of adjacent sub-solids. The mass transfer flow table includes attribute information of each sub-gas space under different operating conditions and the corresponding mass transfer parameters of adjacent sub-gas spaces. The convection heat transfer table includes convection parameters between each sub-gas space and adjacent sub-solids under different operating conditions. The boundary condition table includes the boundary condition parameters under different operating conditions.

[0144] In some optional implementations, the second modeling and simulation module 1004 described above is used to connect adjacent sub-solids using the thermal conductivity edges characterized by the thermal conductivity parameters, with each sub-solid as a node, to obtain a solid network model in the following specific way: Using each sub-solid as a node, and sequentially taking each sub-solid as a target sub-solid, the adjacent sub-solids of the target sub-solid are determined. The heat conduction edges, characterized by the heat conduction parameters between the target sub-solid and the adjacent sub-solids, are used to connect the target sub-solid and the adjacent sub-solids to obtain the solid network model.

[0145] In some optional implementations, the second modeling and simulation module 1004 described above is used to obtain a gas network model by connecting adjacent sub-gas spaces using the exchange edges characterized by the exchange parameters, with each sub-gas space as a node. Using each sub-gas space as a node, and sequentially taking each sub-gas space as the first target sub-gas space, the adjacent sub-gas spaces of the first target sub-gas space are determined. Using the mass transfer edge characterized by the mass transfer parameter between the first target sub-gas space and the adjacent sub-gas spaces, the first target sub-gas space and the adjacent sub-gas spaces are connected to obtain the gas network model.

[0146] In some optional implementations, the second modeling and simulation module 1004 described above is used to connect the sub-solids in the solid network model and the adjacent sub-gas spaces in the gas network model using the convection edges characterized by the convection parameters, in order to obtain the thermal network model of the crew compartment. Specifically, the method is as follows: Each sub-gas space in the gas network model is sequentially used as the second target sub-gas space. The adjacent sub-solids in the solid network model are determined between the second target sub-gas space and the adjacent sub-solids. The convection edge characterized by the convection parameters between the second target sub-gas space and the adjacent sub-solids is used to connect the second target sub-gas space and the adjacent sub-solids in the solid network model to obtain the thermal network model.

[0147] In some optional implementations, the second modeling and simulation module 1004 is used to perform thermal network simulation analysis of the crew compartment based on the thermal network model and the thermal environment parameters in the following specific ways: Based on the solid heat conduction table, mass transfer flow table, convective heat transfer table, and boundary condition table, the boundary temperature of any node in the thermal network model is obtained.

[0148] Furthermore, the second modeling and simulation module 1004 described above obtains the boundary temperature of any node in the thermal network model based on the solid heat conduction table, mass transfer flow rate table, convective heat transfer table, and boundary condition table in the following specific manner: The target node is determined from the aforementioned thermal network model; Obtain the temperature calculation model of the target node; Based on the solid heat conduction table, mass transfer flow table, convective heat transfer table, and boundary condition table, the boundary temperature of the target node is obtained through the temperature calculation model.

[0149] Furthermore, in some embodiments, the second modeling and simulation module 1004 obtains the temperature calculation model of the target node in the following specific manner: If the target node is a sub-solid in the thermal network model, a first thermal conductivity calculation sub-model between the target node and the adjacent sub-solid is obtained based on the solid thermal conductivity table, and a first convective heat transfer calculation sub-model between the target node and the adjacent sub-gas space is obtained based on the convective heat transfer table. Determine whether the target node is adjacent to the external environment; If not, obtain the temperature calculation model based on the first thermal conductivity calculation sub-model and the first convection heat transfer calculation sub-model; If so, obtain the second convection heat transfer calculation sub-model between the target node and the external environment, and obtain the temperature calculation model based on the first heat conduction calculation sub-model, the first convection heat transfer calculation sub-model and the second convection heat transfer calculation sub-model. The second convection heat transfer calculation sub-model is determined based on the boundary condition table.

[0150] Furthermore, in some other embodiments, the second modeling and simulation module 1004 obtains the temperature calculation model of the target node in the following specific manner: If the target node is a sub-gas space in the thermal network model, a third convective heat transfer calculation sub-model between the target node and the adjacent sub-solid is obtained based on the convective heat transfer table. A total inflow heat calculation sub-model and a total outflow heat calculation sub-model are obtained based on the flow rate and flow direction in the mass transfer parameters. The total inflow heat calculation sub-model is used to characterize the heat exchanged by the mass of the adjacent sub-gas space flowing into the target node, and the total outflow heat calculation sub-model is used to characterize the heat exchanged by the mass of the target node flowing out to the adjacent sub-gas space. Determine whether the target node contains a ventilation opening; If not, obtain the temperature calculation model based on the third convection heat transfer calculation sub-model, the inflow heat transfer sub-model, and the outflow heat transfer model; If so, obtain the heat exchange sub-model between the target node and the vent. Based on the third convection heat transfer calculation sub-model, the inflow heat transfer sub-model, the outflow heat transfer sub-model, and the heat exchange sub-model, obtain the temperature calculation model. The heat exchange sub-model is determined based on the vent flow rate and vent air temperature in the boundary condition parameters.

[0151] Please see Figure 11 , Figure 11 This is a schematic diagram of the structure of the electronic device disclosed in the embodiments of this application; as shown Figure 11 As shown, the electronic device may include: Memory 1101 containing computer programs; Processor 1102 coupled to the memory; The processor calls the computer program stored in the memory and executes it. Figure 1 , Figures 3 to 4 Some or all of the steps in any thermal network simulation analysis method for the crew compartment.

[0152] This application also discloses a computer-readable storage medium storing a computer program, wherein the computer program causes a computer to execute... Figure 1 , Figures 3 to 4 A method for simulating and analyzing the thermal network of the crew compartment is disclosed.

[0153] This application also discloses a computer program product that, when run on a computer, causes the computer to perform... Figure 1 , Figures 3 to 4 Some or all of the steps of any of the disclosed methods.

[0154] This application also discloses an application publishing platform for publishing computer program products, wherein when the computer program product is run on a computer, the computer executes... Figure 1 , Figures 3 to 4 Some or all of the steps of any of the disclosed methods.

[0155] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compactdisc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0156] The above provides a detailed description of a thermal network simulation analysis method and electronic device for a passenger compartment disclosed in the embodiments of this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this invention. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for simulating and analyzing the thermal network of a passenger compartment, characterized in that, include: The thermal environment of the crew cabin was modeled and simulated using modeling and simulation methods to obtain simulation results and determine the solid and gas domains in the modeling and simulation model. Based on preset segmentation rules, the solid domain and the gas domain are segmented to obtain multiple sub-solid and multiple sub-gas spaces respectively; Analyzing the simulation results, thermal environment parameters are obtained. These thermal environment parameters include at least the heat conduction parameters between adjacent sub-solids, the mass transfer parameters between adjacent sub-gas spaces, the convection parameters between adjacent sub-solids and sub-gas spaces, and the boundary condition parameters. Using each sub-solid as a node, adjacent sub-solids are connected by thermal conduction edges characterized by the thermal conduction parameters to obtain a solid network model; using each sub-gas space as a node, adjacent sub-gas spaces are connected by mass transfer edges characterized by the mass transfer parameters to obtain a gas network model; and using convection edges characterized by the convection parameters, the sub-solids in the solid network model and adjacent sub-gas spaces in the gas network model are connected to obtain a thermal network model of the crew compartment. Based on the thermal network model and the thermal environment parameters, a thermal network simulation analysis was performed on the crew cabin.

2. The method according to claim 1, characterized in that, The analysis of the simulation results yields thermal environment parameters, including: The thermal environment parameters under different operating conditions are obtained from the simulation results. The heat conduction parameters include at least the equivalent thermal conductivity and thermal conduction area of ​​each sub-solid and its adjacent sub-solid. The mass transfer parameters include at least the flow rate and flow direction between each sub-gas space and its adjacent sub-gas space. The convection parameters include at least the convective heat transfer area and convective heat transfer coefficient between each sub-gas space and its adjacent sub-solid. The boundary condition parameters include at least one of the following: external ambient temperature, external convective heat transfer coefficient, vent flow rate, and vent airflow temperature.

3. The method according to claim 2, characterized in that, After analyzing the simulation results and obtaining the thermal environment parameters, the method further includes: The property information of each sub-solid and the property information of each sub-gas space are obtained from the simulation results; wherein, the property information of the sub-solid includes at least the thermal conductivity and specific heat capacity of the sub-solid, and the property information of the sub-gas space includes at least the volume of the sub-gas space. Establish a solid heat conduction table, a mass transfer flow table, a convective heat transfer table, and a boundary condition table. The solid heat conduction table includes the attribute information of each sub-solid under different operating conditions and the heat conduction parameters corresponding to adjacent sub-solids. The mass transfer flow table includes the attribute information of each sub-gas space under different operating conditions and the mass transfer parameters corresponding to adjacent sub-gas spaces. The convective heat transfer table includes the convective parameters between each sub-gas space and adjacent sub-solids under different operating conditions. The boundary condition table includes the boundary condition parameters under different operating conditions.

4. The method according to any one of claims 1 to 3, characterized in that, The process of using each sub-solid as a node and connecting adjacent sub-solids with thermal conductivity edges characterized by the thermal conductivity parameters to obtain a solid network model includes: Using each sub-solid as a node, and sequentially taking each sub-solid as a target sub-solid, the adjacent sub-solids of the target sub-solid are determined. The heat conduction edges, characterized by the heat conduction parameters between the target sub-solid and the adjacent sub-solids, are used to connect the target sub-solid and the adjacent sub-solids to obtain the solid network model.

5. The method according to claim 4, characterized in that, The process of using each sub-gas space as a node and connecting adjacent sub-gas spaces with exchange edges characterized by the exchange parameters to obtain a gas network model includes: Using each sub-gas space as a node, and sequentially taking each sub-gas space as the first target sub-gas space, the adjacent sub-gas spaces of the first target sub-gas space are determined. Using the mass transfer edge characterized by the mass transfer parameter between the first target sub-gas space and the adjacent sub-gas spaces, the first target sub-gas space and the adjacent sub-gas spaces are connected to obtain the gas network model.

6. The method according to claim 5, characterized in that, The convection edge, characterized by the convection parameters, connects the sub-solids in the solid network model and the adjacent sub-gas spaces in the gas network model to obtain the thermal network model of the crew compartment, including: Each sub-gas space in the gas network model is sequentially used as the second target sub-gas space. The adjacent sub-solids in the solid network model are determined between the second target sub-gas space and the adjacent sub-solids. The convection edge characterized by the convection parameters between the second target sub-gas space and the adjacent sub-solids is used to connect the second target sub-gas space and the adjacent sub-solids in the solid network model to obtain the thermal network model.

7. The method according to claim 3, characterized in that, The thermal network simulation analysis of the crew cabin based on the thermal network model and the thermal environment parameters includes: Based on the solid heat conduction table, mass transfer flow table, convective heat transfer table, and boundary condition table, the boundary temperature of any node in the thermal network model is obtained.

8. The method according to claim 7, characterized in that, The step of obtaining the boundary temperature of any node in the thermal network model based on the solid heat conduction table, mass transfer flow table, convective heat transfer table, and boundary condition table includes: The target node is determined from the aforementioned thermal network model; Obtain the temperature calculation model of the target node; Based on the solid heat conduction table, mass transfer flow table, convective heat transfer table, and boundary condition table, the boundary temperature of the target node is obtained through the temperature calculation model.

9. The method according to claim 8, characterized in that, The process of obtaining the temperature calculation model for the target node includes: If the target node is a sub-solid in the thermal network model, a first thermal conductivity calculation sub-model between the target node and the adjacent sub-solid is obtained based on the solid thermal conductivity table, and a first convective heat transfer calculation sub-model between the target node and the adjacent sub-gas space is obtained based on the convective heat transfer table. Determine whether the target node is adjacent to the external environment; If not, obtain the temperature calculation model based on the first thermal conductivity calculation sub-model and the first convection heat transfer calculation sub-model; If so, obtain the second convection heat transfer calculation sub-model between the target node and the external environment, and obtain the temperature calculation model based on the first heat conduction calculation sub-model, the first convection heat transfer calculation sub-model and the second convection heat transfer calculation sub-model. The second convection heat transfer calculation sub-model is determined based on the boundary condition table.

10. The method according to claim 8, characterized in that, The process of obtaining the temperature calculation model for the target node includes: If the target node is a sub-gas space in the thermal network model, a third convective heat transfer calculation sub-model between the target node and the adjacent sub-solid is obtained based on the convective heat transfer table. A total inflow heat calculation sub-model and a total outflow heat calculation sub-model are obtained based on the flow rate and flow direction in the mass transfer parameters. The total inflow heat calculation sub-model is used to characterize the heat exchanged by the mass of the adjacent sub-gas space flowing into the target node, and the total outflow heat calculation sub-model is used to characterize the heat exchanged by the mass of the target node flowing out to the adjacent sub-gas space. Determine whether the target node contains a ventilation opening; If not, obtain the temperature calculation model based on the third convective heat transfer calculation sub-model, the total inflow heat calculation sub-model, and the total outflow heat calculation sub-model; If so, obtain the heat exchange sub-model between the target node and the vent. Based on the third convection heat transfer calculation sub-model, the total inflow heat calculation sub-model, the total outflow heat calculation sub-model, and the heat exchange sub-model, obtain the temperature calculation model. The heat exchange sub-model is determined based on the vent flow rate and vent air temperature in the boundary condition parameters.

11. An electronic device, characterized in that, include: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the thermal network simulation analysis method for the crew compartment as described in any one of claims 1-10.

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