CN115034093B - Construction method and simulation method of motor simulation model with thermal network - Google Patents

Abstract

The embodiment of the invention discloses a method for constructing a motor simulation model with a thermal network and a simulation method. The model construction method comprises the following steps: acquiring a thermal model of each part of the motor written in Modelica language, wherein the thermal model is used for realizing the simulation of a motor thermal network; dispersing a thermal model of a target component into a plurality of nodes according to the actual form of the target component, wherein the control equation structure of each node is the same as that of the thermal model of the target component, and each node is provided with at least one input port and at least one output port; selecting input and output port combinations of each node according to the actual heat conduction path of the target component; and modifying the thermal parameters in the control equation of each node according to the size of each node and the combination of the input port and the output port. The embodiment improves the modeling precision and flexibility.

Description

Construction method and simulation method of motor simulation model with thermal network

technical field

The invention relates to a new energy vehicle simulation technology, in particular to a method for constructing a simulation model of a motor with a heating network and a simulation method.

Background technique

As one of the important components of new energy vehicles, the performance of the motor directly affects the use of new energy vehicles. In the simulation modeling of new energy vehicles, the establishment of accurate motor models is conducive to guiding the selection of motors in the early stage and the verification of the whole vehicle in the later stage.

In the prior art, motor modeling is usually based on platforms such as Amesim and Simulink, but Amesim lacks an integrated thermal network, and the Simulink platform is very cumbersome to apply cooling media, making the modeling process very complicated, and it is difficult to ensure modeling accuracy and flexibility.

Contents of the invention

The invention provides a motor simulation model construction method with a heating network and a simulation method, and uses the Modelica language to program the simulation system of a motor with a heating network, thereby improving modeling accuracy and flexibility.

In the first aspect, the present invention provides a method for constructing a motor simulation model with a thermal network, comprising:

Obtain the thermal model of each component of the motor written in Modelica language, and the thermal model is used to realize the simulation of the thermal network of the motor;

According to the actual shape of the target component, the thermal model of the target component is discretized into multiple nodes, wherein the control equation structure of each node is the same as the thermal model of the target component, and each node has at least one input port and output port;

Selecting the combination of input and output ports of each node according to the actual heat conduction path of the target component;

According to the size of each node and the combination of input and output ports, the thermal parameters in the control equation of each node are modified.

In the second aspect, the present invention also provides a motor simulation method with a thermal network, including:

Obtaining a motor simulation model with a thermal network, wherein the motor simulation model is constructed using the above model construction method;

According to the simulation requirements, set the activation state of the thermal model of each component of the motor;

Use the motor simulation model with the enabled state set to perform motor simulation.

In a third aspect, the present invention also provides an electronic device, comprising:

one or more processors;

memory for storing one or more programs,

When the one or more programs are executed by the one or more processors, the one or more processors implement the above-mentioned motor simulation model building method with heating network, or the above-mentioned motor simulation method with heating network.

In the fourth aspect, the present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the above-mentioned method for building a simulation model of a motor with a thermal network, or the above-mentioned motor with a thermal network is implemented. simulation method.

The embodiment of the present invention is based on the non-causal characteristics of the Modelica language, and the thermal model of any component of the motor is node-discrete along the thermal network path. Each discrete node can be set with parameters such as corresponding size and input and output port combinations to match more accurate thermal parameters. There is no need to remodel the interior of each node, and the control equation structure of the component model is still used, and only the value of the thermal parameter is changed. Therefore, on the basis of maintaining the original thermal network architecture, the granularity of the thermal model can be flexibly set, thereby improving the accuracy of the model. In addition, the motor model established by using the Modelica platform can quickly realize the switching of different cooling media due to the advantages of including the medium function package. Compared with Amesim, Simulink and other platforms, the modeling speed and simulation speed are greatly improved.

Description of drawings

In order to more clearly illustrate the specific implementation of the present invention or the technical solutions in the prior art, the following will briefly introduce the accompanying drawings that need to be used in the specific implementation or description of the prior art. Obviously, the accompanying drawings in the following description The drawings show some implementations of the present invention, and those skilled in the art can obtain other drawings based on these drawings without any creative work.

Fig. 1 is the simulation schematic diagram of a kind of motor body model provided by the embodiment of the present invention;

Fig. 2 is a flow chart of a method for constructing a motor simulation model with a thermal network provided by an embodiment of the present invention;

3 is a schematic diagram of a motor thermal network simulation model provided by an embodiment of the present invention;

Fig. 4 is a schematic structural diagram of a rotor provided by an embodiment of the present invention;

Fig. 5 is a schematic diagram of discrete nodes of a thermal resistance model of a rotor provided by an embodiment of the present invention;

6 is a schematic diagram of discrete nodes of a thermal resistance model of a cooling channel provided by an embodiment of the present invention;

Fig. 7 is a flow chart of a motor simulation method with a heating network provided by an embodiment of the present invention;

Fig. 8 is a flow chart of stator heat and rotor heat calculation provided by an embodiment of the present invention;

FIG. 9 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer" etc. The indicated orientation or positional relationship is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, or in a specific orientation. construction and operation, therefore, should not be construed as limiting the invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and should not be construed as indicating or implying relative importance.

In the description of the present invention, it should also be noted that, unless otherwise clearly specified and limited, the terms "installation", "connection" and "connection" should be interpreted in a broad sense, for example, it can be a fixed connection or a flexible connection. Detachable connection, or integral connection; it can be mechanical connection or electrical connection; it can be direct connection or indirect connection through an intermediary, and it can be the internal communication of two components. Those of ordinary skill in the art can understand the specific meanings of the above terms in the present invention in specific situations.

Fig. 1 is a schematic diagram of a simulation of a motor body model provided by an embodiment of the present invention. As shown in Figure 1, when the model is running, according to the voltage and speed of the motor, the maximum torque and minimum torque of the generator and the motor are obtained based on the torque MAP diagram; according to the torque and speed of the motor, the maximum torque and the minimum torque of the generator and the motor are obtained based on the efficiency MAP diagram. efficiency. When the maximum torque and efficiency are input into the calculation module, the calculation module will calculate the output torque according to the external control signal, torque demand, maximum torque, minimum torque and efficiency, and perform coupling calculation with the external mechanical flange port; at the same time, according to the torque, speed , efficiency and voltage to calculate the current mechanical power, electrical power and motor current of the motor.

Based on the motor body model above, FIG. 2 is a flowchart of a method for constructing a simulation model of a motor with a thermal network provided by an embodiment of the present invention. The method is applicable in the case of modeling the motor thermal network on the basis of the motor body model, performed by the electronics. As shown in Figure 2, the method specifically includes:

S110. Obtain a thermal model of each component of the motor written in Modelica language, and the thermal model is used to realize the simulation of the thermal network of the motor.

The motor thermal network reflects the heat distribution between the various parts of the motor. Specifically, the thermal network includes a plurality of unit nodes, and heat transfer is performed between nodes by one of heat conduction, heat convection, and heat radiation, and between nodes is replaced by thermal resistance. If each node is compared to a component in a circuit, the heat balance equation can be established by using the KCL and KVL laws in electricity to solve the heat distribution of each component.

The thermal network simulation model of the motor in this embodiment is written in the non-causal Modelica language. Specifically, the heat source model, thermal resistance model, and thermal resistance model between each component of the motor are constructed in the Modelica environment; then, the dielectric function package and control equations of each thermal resistance model are written in Modelica language. Wherein, the components include a rotor, a stator, a front end cover, a rear end cover, a casing and a cooling channel, and the thermal resistance model of the rotor includes: the thermal resistance model of the first rotor between the center of the rotor and the front end cover, and the rotor Thermal resistance model of the second rotor between the center and rear endshield.

Fig. 3 is a schematic diagram of a simulation model of a motor thermal network provided by an embodiment of the present invention, and each module in the figure is a thermal model. Thermal models include heat source model, thermal resistance model, heat fusion model and air temperature model, where thermal resistance model includes thermal convection thermal resistance model and thermal conduction thermal resistance model (see legend in the lower right corner).

In detail, Q1 represents the heat source model of the stator, Q_Stator represents the stator heat input into the stator heat source model; Q2 represents the rotor heat source model, Q_Rotor represents the rotor heat input into the rotor heat source model; C1 represents the heat capacity model of the stator, C2 Represents the heat capacity model of the rotor.

In the figure, the thermal resistance model of each component is constructed to simulate the heat transfer process of the component itself. Among them, Ga1 represents the heat conduction thermal resistance model of the stator, Ga3 represents the heat conduction thermal resistance model of the casing, Ga5 represents the heat conduction thermal resistance model of the front end cover, and Ga10 represents the heat conduction thermal resistance model of the rear end cover. In particular, since the rotor is relatively long and the heat source of the rotor is generated in the center of the rotor, the rotor is divided into the first rotor and the second rotor, and the heat conduction thermal resistance model Ga6 of the first rotor and the thermal conduction thermal resistance model of the second rotor are constructed Ga8.

Corresponding thermal resistance models are also constructed between each component to simulate the heat transfer characteristics between components. Among them, Ga2 represents the heat conduction thermal resistance model between the stator and the shell, Ga4 represents the heat conduction thermal resistance model between the end cover and the shell, Ga7 represents the heat conduction thermal resistance model between the first rotor and the front end cover, Ga9 represents the second rotor and the The heat conduction thermal resistance model between the rear end cover, Gb1 represents the heat convection thermal resistance model between the stator and the rotor, Gb2 represents the heat convection thermal resistance model between the front end cover and the air, and Gb3 represents the heat convection thermal resistance model between the shell and the air , Gb4 represents the heat convection thermal resistance model between the cooling channel and the housing, and Gb5 represents the heat convection thermal resistance model between the rear end cover and the air.

The air temperature model is similar to the boundary element of the whole system model, including the air temperature T. Only the port a1 is shown in the cooling channel model, and the specific model structure will be introduced in detail in subsequent embodiments. Each model is written and developed in Modelica language based on the heat transfer principle of each component, which is not specifically limited in this embodiment. It is worth mentioning that both the thermal conduction thermal resistance model and the thermal convection thermal resistance model are developed based on the thermal resistance model that comes with Meodelica software.

Specifically, the heat conduction resistance model adds a heat conduction resistance calculation module on the basis of the thermal resistance model that comes with the software. The thermal conduction thermal resistance calculation module is used to calculate the thermal conduction thermal resistance of components according to the component parameters that are easy to obtain in practical applications; the calculated thermal conduction thermal resistance is input into the thermal resistance model that comes with the software, and the thermal resistance model that comes with the software is used to pass The medium package function and so on automatically simulate the heat transfer process in the physical world. Optionally, the heat conduction thermal resistance calculation module includes the following equation control:

Thermal conduction thermal resistance = length L/(thermal conductivity lambda × object surface area A);

Thermal conductivity = f2 (material), where the built-in database of the model provides the thermal conductivity corresponding to commonly used materials. Users can determine the thermal conductivity by selecting materials, or directly assign/modify the thermal conductivity.

Similarly, the thermal convection thermal resistance model adds a thermal convection thermal resistance calculation module on the basis of the thermal resistance model that comes with the software. The thermal convection thermal resistance calculation module is used to calculate the thermal convection thermal resistance of the component according to the component parameters that are easy to obtain in practical applications; the calculated thermal convection thermal resistance is input into the thermal resistance model that comes with the software, and the thermal resistance model that comes with the software It is used to simulate the heat transfer process in the physical world automatically, etc. through the medium package function, etc. Optionally, the thermal convection thermal resistance calculation module includes the following equation control:

Heat convection thermal resistance=1/(heat convection heat transfer coefficient hm1×object surface area A);

Heat convective conduction coefficient = f1 (shape factor, length, flow velocity or wind speed), where the convective heat transfer with the atmosphere is related to the wind speed, and the convective heat transfer with the fluid is related to the flow speed.

S120. Discrete the thermal model of the target component into multiple nodes according to the actual form of the target component, wherein the control equation structure of each node is the same as the thermal model of the target component, and each node has at least one input port and output ports.

The target component can be specified by the user, or can be determined according to the simulation accuracy requirements. Generally speaking, components with large dimensions, such as rotors, cooling channels, etc., or components with rich shapes, such as cooling channels, have obvious changes in the internal heat transfer process and can be used as target components for further discretization. Other components may also be used as the target component, which is not specifically limited in this embodiment.

Optionally, according to the actual shape of the target component, the thermal resistance model of the target component is discretized into a plurality of nodes, and each node corresponds to a different part of the target component. For example, different parts of the rotor correspond to different sizes, and parts with basically the same size are divided into a node. Fig. 4 is a structural schematic diagram of a rotor provided by an embodiment of the present invention. It can be seen that the two ends of the rotor are thin and the middle is thick, and different parts correspond to different sizes. Dividing the parts with basically the same size into a node can be obtained as shown in Fig. 3 nodes shown in 5. For another example, different parts of the cooling channel correspond to different flow directions (as shown in Figure 6), and the thermal resistance model of the cooling channel is discretized into 9 nodes according to the change of flow direction. Furthermore, the heat transfer mechanism of each node is the same as that of the target component, so the specific form or structure of the control equations of the two is the same, but the value of the thermal parameter in the equation may be different. The following describes in detail how to modify the thermal parameter value.

S130. Select a combination of input and output ports of each node according to the actual heat conduction path of the target component.

Each node has at least one input port and output port, and different combinations of input and output ports correspond to different heat conduction paths. In order to reflect this feature more vividly, each node is abstracted into a hexahedron model as shown in Figure 5. By opening different ports, you can set the left-right flow path, the up-down flow path, or the turn flow path. When determining the input and output ports, first determine the actual heat conduction path of each node according to the actual heat conduction path of the target component; then select the input and output port combination of each node according to the corresponding relationship between the heat conduction path and the combination of the input and output ports . The corresponding relationship can be preset by the user.

Taking the rotor shown in Figure 4 as an example, since the rotor is placed horizontally in the motor, the actual heat conduction path is also horizontally conducted from one end to the other end, so select the input and output ports of left-in and right-out or right-in and left-out for the nodes of each part combination. For the cooling channel shown in Figure 6, the combination of input and output ports with top in and bottom out is selected for node 1, and the combination of input and output ports with top in and right out for node 2 is selected, and so on.

S140. Modify the thermal parameters in the control equations of each node according to the combination of input and output ports of each node.

Optionally, different input and output port combinations correspond to different thermal parameter calculation equations, and the thermal parameters to be used in the node model, such as thermal resistance and thermal capacity, are modified according to the parameter calculation equations. Two specific implementations are given below by taking the rotor and the cooling channel as examples.

In the first implementation manner, the target component is a rotor, specifically any one of the first rotor and the second rotor. After the rotor is divided into multiple nodes, according to the rotor size of any node and the combination of input and output ports, the rotor surface area of the node is determined; the rotor surface area is substituted into the thermal parameter calculation equation corresponding to the combination to calculate the Thermal parameters of the node. Specifically, taking the rotor as an example, the combination of input and output ports of nodes in each part is left-right flow direction, which has almost no effect on thermal parameters, which is equivalent to multiplying thermal parameters by a coefficient of 1; while the dimensions of different parts of the rotor (such as different diameters , different lengths), which determines the different heat dissipation surface areas of each node, resulting in different thermal parameters of each node. In a specific embodiment, assuming that the length L=1 and the thermal resistance G=1 in the thermal resistance model of the rotor before the discretization, the thermal parameters of each node in Fig. 5 after the discretization may become L={L1, L2, L3 }, G={G1,G2,G3}, where L1+L2+L3=1, G1+G2+G3=1. The temperature transfer of different parts of the rotor can be realized through the discrete nodes, and the thermal simulation of different granularity can be carried out under the condition that the structure of the thermal network model remains unchanged. In practical applications, there are many thermodynamic parameters of each node, usually in the form of a matrix, and this step will modify the affected parameters.

In the second embodiment, the target component is a cooling channel. After the cooling flow channel is divided into multiple nodes, according to the size of any node and the combination of input and output ports, the coolant flow resistance and flow channel surface area of the node are determined; the coolant flow resistance and flow channel surface area are substituted into The thermal parameter calculation equation corresponding to the combination calculates the thermal parameter of the node. Specifically, the cooling channel uses water or other cooling fluids for heat exchange, the size of the node affects the surface area of the channel, and the combination of input and output ports reflects the direction of the channel and affects the surface area and flow resistance of the channel; while the surface area of the channel and the flow resistance Both resistances affect thermal parameters in the simulation model, such as thermal resistance.

Specifically, as shown in Figure 6, nodes 1, 5, and 9 are all vertical flow channels, corresponding to the combination of input and output ports in the up and down directions, and the cooling liquid is greatly affected by gravity. When other factors affecting the flow resistance, such as fluid properties, pipe size, and pipe material, are the same, the node flow resistance from top to bottom (straight up and down) is the smallest, and the node flow resistance from bottom to top (straight up and down) is maximum. Nodes 3 and 7 are horizontal flow channels, corresponding to the combination of input and output ports in the left and right directions. The flow resistance of the coolant is less affected by gravity, which is different from the flow resistance of the vertical flow channels. Nodes 2, 4, and 8 correspond to three combinations of input and output ports: upper right, lower right, and lower left. Half of the flow resistance of the coolant is greatly affected by gravity, and half is slightly affected by gravity, and the flow resistance is also different. In addition, there are turns in the flow channels of nodes 2, 4, and 8, and the corresponding flow channel surface area is larger under the premise that the length of the flow channels at each node is the same. Both the flow resistance and the surface area of the flow channel are important indicators that affect the thermal parameters. For example, in the heat convection thermal resistance calculation module in the above embodiment, the flow resistance affects the fluid flow rate, thereby affecting the heat convection conduction coefficient; the flow channel surface area and the heat convection conduction coefficient jointly affect the heat convection thermal resistance.

In practical applications, the flow channel model of Modelica has a medium function package. The medium is written based on the modelcia language and can represent various general physical properties of fluids. The medium function package can calculate common physical properties based on pressure, temperature, and components (one or more), such as density, specific enthalpy, dynamic viscosity, thermal conductivity, specific heat capacity, degree of phase change, dew point, boiling point, saturation pressure, saturation temperature, latent heat Wait. After the heat source is transferred to each runner node, each node can directly call the media package to simulate the heat direction such as heat transfer.

In this embodiment, the thermal model of any component of the motor is node-discrete along the thermal network path, and each discrete node can be set with parameters such as the corresponding size and the combination of input and output ports to match more accurate thermal parameters. There is no need to remodel the interior of each node, and the control equation structure of the component model is still used, and only the value of the thermal parameter is changed. Therefore, on the basis of maintaining the original thermal network architecture, the granularity of the thermal model can be flexibly set, thereby improving the accuracy of the model. In addition, the motor model established by using the Modelica platform can quickly realize the switching of different cooling media due to the advantages of including the medium function package. Compared with Amesim, Simulink and other platforms, the modeling speed and simulation speed are greatly improved.

Fig. 7 is a flowchart of a motor simulation method with a thermal network provided by an embodiment of the present invention. As shown in Figure 7, the method includes:

S210. Obtain the motor simulation model of the heating network constructed by using the method of the above embodiment.

S220. According to the simulation requirement, set the enabled state of the thermal model of each component of the motor. Based on the characteristics of the Modelica language, each thermal module in Figure 2 is packaged separately and independent of each other. It can be decided whether to enable it according to the needs of customers. Optionally, if the thermal model of a component is not enabled, the model is closed, and there is no need to rebuild the network, only the control equation of the thermal model is switched to: the output parameter is equal to the input parameter. The thermal model that is turned off at this time is equivalent to a straight line.

S230. Perform motor simulation by using the motor simulation model whose enabled state has been set.

Optionally, firstly, the heat of the rotor and the heat of the stator are coupled and calculated according to the efficiency MAP diagram of the motor. The specific process is shown in Figure 8. Match the motor power input by the customer with the built-in database to obtain the energy consumption distribution power of the stator and rotor; then calculate the power according to the efficiency MAP to obtain the energy loss of the stator and rotor. The energy loss is Rotor heat and stator heat. specific,

Q_Rotor+Q_Stator=P_loss

P_loss=(1-motor efficiency)*total power

After calculating the obtained rotor heat and stator heat, input the motor model in Fig. 2. Each model and each node call their own thermal parameter values and control equations to carry out the simulation calculation of the entire motor.

Fig. 9 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention. As shown in Fig. 9, the device includes a processor 60, a memory 61, an input device 62 and an output device 63; the number of processors 60 in the device may be One or more, a processor 60 is taken as an example in Fig. 9; the processor 60, memory 61, input device 62 and output device 63 in the device can be connected by bus or other methods, and in Fig. 9, the connection by bus is taken as an example .

Memory 61, as a computer-readable storage medium, can be used to store software programs, computer-executable programs and modules, such as the motor simulation model construction method with thermal network in the embodiment of the present invention, or the motor simulation method with thermal network corresponding program instructions/modules. The processor 60 executes various functional applications and data processing of the device by running the software programs, instructions and modules stored in the memory 61, that is, realizes the above-mentioned method for building a simulation model of a motor with a thermal network, or the motor with a thermal network simulation method.

The memory 61 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required by a function; the data storage area may store data created according to the use of the terminal, and the like. In addition, the memory 61 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage devices. In some examples, the memory 61 may further include memory located remotely relative to the processor 60, and these remote memories may be connected to the device through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The input device 62 can be used to receive input numbers or character information, and generate key signal input related to user settings and function control of the device. The output device 63 may include a display device such as a display screen.

An embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the method for constructing a motor simulation model of a heating network in any embodiment is implemented, or the method for building a simulation model of a heating network is implemented. Electric motor simulation method.

The computer storage medium in the embodiments of the present invention may use any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples (non-exhaustive list) of computer-readable storage media include: electrical connections with one or more leads, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), Erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

A computer readable signal medium may include a data signal carrying computer readable program code in baseband or as part of a carrier wave. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. .

Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out the operations of the present invention may be written in one or more programming languages, or combinations thereof, including object-oriented programming languages—such as Java, Smalltalk, C++, and conventional procedural programming languages. Programming language - such as "C" or a similar programming language. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In cases involving a remote computer, the remote computer can be connected to the user computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as through the Internet using an Internet service provider). connect).

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the embodiments of the present invention.

Claims (9)

1. A method for building a motor simulation model with thermal network, characterized in that, comprising: Obtain the thermal model of each component of the motor written in Modelica language, and the thermal model is used to realize the simulation of the thermal network of the motor; According to the actual shape of the target component, the thermal model of the target component is discretized into multiple nodes, wherein the control equation structure of each node is the same as the thermal model of the target component, and each node has at least one input port and output port; According to the actual heat conduction path of the target component, select the combination of input and output ports of each node; specifically, determine the actual heat conduction path of each node according to the actual heat conduction path of the target component; according to the combination of the heat conduction path and the input and output ports Corresponding relationship, select the combination of input and output ports of each node; According to the size of each node and the combination of input and output ports, the thermal parameters in the control equation of each node are modified. 2. The model building method according to claim 1, wherein the thermal model comprises a heat source model and a thermal resistance model; The thermal model of the motor components written in the Modelica language is obtained, including: Construct the heat source model, thermal resistance model, and thermal resistance model between each component of the motor in the Modelica environment; The dielectric functions and control equations of each thermal resistance model were written in Modelica language; Wherein, the components include a rotor, a stator, a front end cover, a rear end cover, a casing and a cooling channel, and the thermal resistance model of the rotor includes: the thermal resistance model of the first rotor between the center of the rotor and the front end cover, and the rotor Thermal resistance model of the second rotor between the center and rear endshield. 3. The model building method according to claim 2, characterized in that, according to the actual form of the target component, the thermal model of the target component is discretized into a plurality of nodes, comprising: According to the actual shape of the target component, the thermal resistance model of the target component is discretized into a plurality of nodes, and each node corresponds to a different part of the target component. 4. The model building method according to claim 1, wherein if the target component is a rotor, modifying the thermal parameters in the control equations of each node according to the combination of input and output ports of each node includes: Determining the rotor surface area of any node according to the rotor size of any node and the combination of input and output ports; Substituting the rotor surface area into the thermal parameter calculation equation corresponding to the combination to calculate the thermal parameter of the node. 5. The model building method according to claim 1, wherein if the target component is a coolant flow channel, the thermal parameters in the control equations of each node are modified according to the combination of input and output ports of each node, include: According to the size of any node and the combination of input and output ports, determine the coolant flow resistance and flow channel surface area of the node; Substituting the coolant flow resistance and flow channel surface area into the thermal parameter calculation equation corresponding to the combination to calculate the thermal parameter of the node. 6. A motor simulation method with thermal network, characterized in that, comprising: Obtaining a motor simulation model with a thermal network, wherein the motor simulation model is constructed using the model construction method described in any one of claims 1-5; According to the simulation requirements, set the activation state of the thermal model of each component of the motor; Use the motor simulation model with the enabled state set to perform motor simulation. 7. The simulation method according to claim 6, wherein, according to the simulation requirements, setting the enabling state of the thermal model of each component of the motor includes: According to the simulation requirement, if the thermal model of a component of the motor is disabled, the control equation of the thermal model is switched to: the output parameter is equal to the input parameter. 8. An electronic device, characterized in that it comprises: one or more processors; memory for storing one or more programs, When the one or more programs are executed by the one or more processors, so that the one or more processors implement the method for constructing a motor simulation model with a heat network according to any one of claims 1-5, or The motor simulation method with thermal network described in claim 6 or 7. 9. A computer-readable storage medium, characterized in that a computer program is stored thereon, and when the program is executed by a processor, the method for constructing a motor simulation model with a thermal network according to any one of claims 1-5 is realized, or The motor simulation method with thermal network described in claim 6 or 7.

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