A double mesh generation method and system for transformer windings

Abstract

The present invention discloses a dual-grid partitioning method and system suitable for transformer windings, including: obtaining the operating frequency of the target transformer, and performing a first partitioning operation on the winding of the target transformer according to the operating frequency in combination with a first multi-grid partitioning strategy; performing a second partitioning operation on the target transformer winding after the first partitioning operation in combination with a second multi-grid partitioning strategy; obtaining the grid size of the target transformer winding after the second partitioning operation, and completing the partitioning of the target transformer according to the grid size. By adopting a dual-grid partitioning strategy, the present invention can effectively improve the accuracy of the transformer winding simulation model while reducing the consumption of computing resources. By using a dual-grid partitioning strategy, the electromagnetic field distribution in the transformer winding can be simulated more accurately, thereby improving the accuracy of the simulation results. By reasonably dividing the grid size, the consumption of computing resources can be reduced while ensuring accuracy, thereby improving simulation efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of transformer winding mesh subdivision, and in particular to a double mesh subdivision method and system suitable for transformer windings. Background Art

[0002] In the simulation and analysis of transformer windings, traditional meshing methods often struggle to balance computational accuracy and efficiency. To improve the accuracy of simulation results while reducing computing resource consumption, a dual meshing method has emerged. This method uses a finer mesh size in critical areas and a coarser mesh size in non-critical areas, thereby maintaining accuracy while improving computational efficiency.

[0003] However, existing dual meshing methods still face some challenges in practical applications. For example, how to accurately identify key areas, how to reasonably select mesh sizes, and how to effectively perform mesh transitions still require further research and improvement. Summary of the Invention

[0004] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of this application to avoid obscuring the purpose of this section, the abstract and the title of the invention, and such simplifications or omissions should not be used to limit the scope of the present invention.

[0005] In view of the above existing problems, the present invention is proposed.

[0006] Therefore, the present invention provides a double mesh partitioning method and system applicable to transformer windings, which can solve the problems mentioned in the background technology.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] In a first aspect, the present invention provides a double meshing method applicable to transformer windings, comprising:

[0009] Acquiring an operating frequency of a target transformer, and performing a first meshing operation on a winding of the target transformer according to the operating frequency in combination with a first re-meshing strategy;

[0010] Performing a second meshing operation on the target transformer winding after the first meshing operation in combination with a second meshing strategy;

[0011] The grid size of the target transformer winding after the second splitting operation is obtained, and the splitting of the target transformer is completed according to the grid size.

[0012] As a preferred solution of the double meshing method applicable to transformer windings according to the present invention, the first meshing strategy includes:

[0013] Considering the target transformer as a whole, obtaining overall geometric parameters of the target transformer winding, wherein the overall geometric parameters include at least length, diameter, and core size;

[0014] Select the initial grid size h1 for length, h1 = 1 / 10·λ, where λ represents the wavelength and is obtained by the operating frequency of the target transformer;

[0015] A target transformer winding model is preliminarily simulated based on the preliminary division grid size h1, and a first key area of ​​the target transformer winding is identified according to the preliminary simulation result.

[0016] As a preferred solution of the double meshing method applicable to transformer windings according to the present invention, the first meshing strategy further includes:

[0017] The first key area is divided into several sub-areas, and the grid size of each sub-area is h 2,i , h 2,i =k i ·λ, where k i is the scaling factor for each region;

[0018] The grid transition size between the critical area and the non-critical area is defined as h3;

[0019] And according to the divided h1, h 2,i And h3 re-performs preliminary simulation to determine whether the preliminary simulation results meet the accuracy requirements.

[0020] As a preferred solution of the double grid division method suitable for transformer windings described in the present invention, the judgment of whether the preliminary simulation results meet the accuracy requirements includes: presetting the first grid division strategy objective function and the first constraint condition, and judging whether the preliminary simulation results meet the accuracy requirements according to the value of the first grid division strategy objective function under the first constraint condition.

[0021] As a preferred solution of the double meshing method for transformer windings according to the present invention, the second meshing strategy includes:

[0022] Obtaining preliminary simulation results of the target transformer winding after the first splitting operation, and obtaining a second key area;

[0023] Select the mesh size h4 for the cross section, h4 = h1 / n, where n represents the refinement factor;

[0024] The second key area is divided into several sub-areas, and the grid size of each sub-area is h 5,j , h 5,j =k j ·λ, where k j is the scaling factor for each region.

[0025] As a preferred solution of the double meshing method applicable to transformer windings according to the present invention, the second meshing strategy further includes:

[0026] The grid transition size between the critical area and the non-critical area is defined as h6;

[0027] And according to the divided h1, h 2,i 、h3、h4、h 5,j And h6 re-simulates to determine whether the simulation results meet the accuracy requirements.

[0028] As a preferred solution of the double mesh subdivision method suitable for transformer windings described in the present invention, the second mesh subdivision strategy also includes: presetting the second mesh subdivision strategy objective function and the second constraint condition, and judging whether the simulation results meet the accuracy requirements based on the value of the second mesh subdivision strategy objective function under the second constraint condition.

[0029] In a second aspect, the present invention provides a dual mesh subdivision system suitable for transformer windings, comprising:

[0030] A first segmentation module, configured to obtain an operating frequency of a target transformer, and perform a first segmentation operation on the windings of the target transformer according to the operating frequency in combination with a first regridding strategy;

[0031] A second splitting module, configured to perform a second splitting operation on the target transformer winding after the first splitting operation in combination with a second grid splitting strategy;

[0032] The third segmentation module is used to obtain the grid size of the target transformer winding after the second segmentation operation, and complete the segmentation of the target transformer according to the grid size.

[0033] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-described method when executing the computer program.

[0034] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the method described above when the computer program is executed by a processor.

[0035] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention proposes a double-grid splitting method and system suitable for transformer windings, obtains the operating frequency of the target transformer, and performs a first splitting operation on the winding of the target transformer in combination with a first multi-grid splitting strategy based on the operating frequency; performs a second splitting operation on the target transformer winding after the first splitting operation in combination with a second multi-grid splitting strategy; obtains the grid size of the target transformer winding after the second splitting operation, and completes the splitting of the target transformer according to the grid size. By adopting a double-grid splitting strategy, the present invention can effectively improve the accuracy of the transformer winding simulation model while reducing the consumption of computing resources. Specifically, the first multi-grid splitting strategy mainly focuses on the length direction of the winding, identifies the key area through preliminary simulation results, and performs refinement processing. The second multi-grid splitting strategy further refines the key area, especially performs more detailed division in the cross-sectional direction of the winding to ensure the accuracy of the simulation results.

[0036] In summary, the dual meshing method and system of the present invention have the following advantages:

[0037] 1. Improve simulation accuracy: The dual meshing strategy can more accurately simulate the electromagnetic field distribution in the transformer winding, thereby improving the accuracy of the simulation results.

[0038] 2. Optimize computing resources: By reasonably dividing the grid size, the consumption of computing resources can be reduced while ensuring accuracy, thereby improving simulation efficiency.

[0039] 3. Automated processing: The double meshing method is implemented through computer programs, making the entire process automated, reducing human operating errors and improving work efficiency.

[0040] 4. Improve design reliability: The dual meshing method can provide more accurate simulation data for transformer design, thereby improving the reliability of transformer design.

[0041] In summary, the dual mesh generation method and system for transformer windings proposed in the present invention can not only improve simulation accuracy and efficiency, but also optimize the use of computing resources, and has broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0043] Figure 1A method flow chart of a double mesh generation method and system applicable to transformer windings provided by one embodiment of the present invention;

[0044] Figure 2 A schematic diagram of length meshing in the prior art of a double meshing method and system for transformer windings provided in one embodiment of the present invention;

[0045] Figure 3 A schematic diagram of a cross-sectional meshing method and system for a double meshing of transformer windings according to an embodiment of the present invention;

[0046] Figure 4 A schematic diagram of a mesh generated using prior art technology, according to a method and system for double mesh generation of transformer windings provided by an embodiment of the present invention;

[0047] Figure 5 An internal structural diagram of a computer device for a dual-mesh partitioning method and system for transformer windings provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0048] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0049] Example 1

[0050] Reference Figure 1-Figure 5 , which is the first embodiment of the present invention, provides a double mesh generation method and system applicable to transformer windings, comprising:

[0051] Before introducing the embodiments of the present application in detail, some related concepts are first explained for the sake of clarity.

[0052] Transformer Windings: Transformer windings are the parts of a transformer responsible for transmitting electrical energy. They are typically wound with multiple layers of insulated copper or aluminum wire. Transformer windings can be divided into primary windings ("primary") and secondary windings ("secondary"). The primary winding receives the input voltage, while the secondary winding outputs the transformed voltage. The design and manufacture of these windings directly impact the performance and efficiency of the transformer. In electrical engineering, transformer winding design involves multiple aspects, including material selection, insulation treatment, and heat dissipation design.

[0053] Double meshing: Double meshing is a method used to improve the accuracy and efficiency of electromagnetic simulations. It is achieved by dividing the mesh of the transformer windings into two stages. This method uses a finer mesh size in critical areas and a coarser mesh size in non-critical areas, thereby reducing the demand for computing resources while ensuring accuracy. The first meshing: focuses on the length direction of the winding, identifies the critical areas through preliminary simulation results, and refines them. The second meshing: further refines the critical areas, especially in the cross-sectional direction of the winding, to ensure the accuracy of the simulation results. Double meshing technology can effectively improve the accuracy of the transformer winding simulation model while reducing the consumption of computing resources. By reasonably dividing the mesh size, not only the simulation accuracy is improved, but also the use of computing resources is optimized. In addition, this method can also provide more accurate simulation data for transformer design, thereby improving the reliability of the design.

[0054] There are some problems in related technologies, such as insufficient simulation accuracy, excessive consumption of computing resources, and cumbersome simulation model establishment process, which to some extent limit the efficiency of transformer design and optimization.

[0055] like Figure 2-4 As shown in FIG, they are respectively the mesh division methods used in the process of implementing transformer winding simulation in the existing related technologies. Figure 2 This is a schematic diagram of the existing length grid division. It can be seen from the figure that the winding is divided into multiple segments along the length direction; Figure 3 This is a schematic diagram of the cross-section mesh division in the prior art. It can be seen from the figure that it is based on the divided Figure 2 The winding cross section of any section is split and each cross section is divided into several units; Figure 4 For use Figure 2 、 3 The final grid diagram divided by the prior art is shown. The prior art simply divides the transformer winding coil horizontally and vertically, without distinguishing in detail whether a certain area is critical or whether it is a part that requires precise simulation.

[0056] This application provides a method that can effectively solve the above-mentioned problems. Next, we will describe in detail how to implement the double mesh partitioning method applicable to transformer windings in combination with multiple embodiments.

[0057] Figure 1 A method flow chart of a double meshing method and system applicable to transformer windings is shown, including:

[0058] S101, obtaining an operating frequency of a target transformer, and performing a first meshing operation on a winding of the target transformer according to the operating frequency and a first meshing strategy;

[0059] In the embodiment of the present application, the first gridding strategy includes:

[0060] Considering the target transformer as a whole, obtaining overall geometric parameters of the target transformer winding, wherein the overall geometric parameters include at least length, diameter, and core size;

[0061] Select the initial grid size h1 for length, h1 = 1 / 10·λ, where λ represents the wavelength and is obtained by the operating frequency of the target transformer;

[0062] A target transformer winding model is preliminarily simulated based on the preliminary division grid size h1, and a first key area of ​​the target transformer winding is identified according to the preliminary simulation result.

[0063] It should be noted that the first key region includes at least the winding end region, the winding-core contact region, and the inter-winding coupling region. These regions play a vital role in the electromagnetic field distribution and therefore require special attention to ensure the accuracy of the simulation results.

[0064] In the embodiment of the present application, the first grid division strategy also includes:

[0065] The first key area is divided into several sub-areas, and the grid size of each sub-area is h 2,i , h 2,i =k i ·λ, where k i is the scaling factor for each region;

[0066] The grid transition size between the critical area and the non-critical area is defined as h3;

[0067] In the embodiment of the present application, the grid transition size between the critical area and the non-critical area can be expressed as:

[0068] h3(x)=h1+(h 2,i -h1)·W1

[0069] Where x is the position coordinate within the transition zone for length, x1 is the starting position of the transition zone for length, and W1 is the width ratio of the transition zone for length;

[0070] And according to the divided h1, h 2,i And h3 re-performs preliminary simulation to determine whether the preliminary simulation results meet the accuracy requirements.

[0071] In an embodiment of the present application, determining whether the preliminary simulation results meet the accuracy requirements includes: presetting a first-level grid subdivision strategy objective function and a first-level constraint condition, and determining whether the preliminary simulation results meet the accuracy requirements based on the value of the first-level grid subdivision strategy objective function under the first-level constraint condition.

[0072] In an optional embodiment, assuming that e1 represents the calculation error of the electromagnetic field under low-frequency conditions, the objective function of the first re-gridding strategy can be defined as follows:

[0073] F 1min =e1+a1*number of grids+a2*stability index

[0074] Where e1 is the electromagnetic field calculation error under low-frequency conditions, which is used to measure whether meshing will lead to numerical instability. a1 and a2 are weight coefficients used to balance accuracy, efficiency, and stability.

[0075] It should be noted that there is no coefficient before e1 in the objective function of the first-level meshing strategy, because the proportion of e1 is the most important. It is necessary to first ensure that the simulation has no error or the error is very small. The number of grids and stability are not so demanding later. e1 can be determined based on the difference between the simulation value and the standard value between different nodes. The stability index can be determined based on the norm ratio of the simulation residual vector and the original comparison residual limit vector obtained by residual analysis in different regions.

[0076] In the embodiment of the present application, the first level of constraints include:

[0077] Minimum grid size: The grid size cannot be less than a certain minimum value to prevent excessively fine grids from causing insufficient computing resources.

[0078] Maximum grid size: The grid size cannot be too large to ensure a certain calculation accuracy.

[0079] Constraint on the number of grid cells: The number of grid cells cannot exceed a certain upper limit to ensure the feasibility of the calculation.

[0080] Computational accuracy constraint: ensures that the calculation error does not exceed a certain threshold.

[0081] It should be noted that the benefit of step S101 is that it can preliminarily determine the mesh size based on the transformer's operating frequency and geometric parameters, thus providing a reasonable starting point for subsequent simulations. By identifying key areas based on preliminary simulation results and refining them, higher simulation accuracy can be achieved in these critical areas, while a coarser mesh size is used in non-critical areas to conserve computing resources. This approach not only improves simulation efficiency but also provides more accurate simulation data for transformer design, thereby enhancing design reliability.

[0082] S102, performing a second meshing operation on the target transformer winding after the first meshing operation in combination with a second meshing strategy;

[0083] In the embodiment of the present application, the second meshing strategy includes:

[0084] Obtaining preliminary simulation results of the target transformer winding after the first splitting operation, and obtaining a second key area;

[0085] It should be noted that the second critical region includes at least the high-field intensity region within the winding, the air gap between the winding and the core, and the heat dissipation channel of the winding. These regions play a key role in the performance and stability of the transformer, and therefore require detailed simulation analysis to ensure the transformer's efficient operation and long-term reliability.

[0086] Select the mesh size h4 for the cross section, h4 = h1 / n, where n represents the refinement factor;

[0087] The second key area is divided into several sub-areas, and the grid size of each sub-area is h 5,j , h 5,j =k j ·λ, where k j is the scaling factor for each region.

[0088] In the embodiment of the present application, the second grid generation strategy further includes:

[0089] The grid transition size between the critical area and the non-critical area is defined as h6;

[0090] In the embodiment of the present application, the grid transition size between the critical area and the non-critical area can be expressed as:

[0091] h6(x)=h4+(h 5,j -h4)·W2

[0092] Where y is the position coordinate within the transition zone of the cross section, y1 is the starting position of the transition zone of the cross section, and W2 is the width ratio of the transition zone of the cross section;

[0093] And according to the divided h1, h 2,i 、h3、h4、h 5,j And h6 re-simulates to determine whether the simulation results meet the accuracy requirements.

[0094] In an embodiment of the present application, the second grid subdivision strategy also includes: presetting the second grid subdivision strategy objective function and the second constraint condition, and judging whether the simulation results meet the accuracy requirements based on the value of the second grid subdivision strategy objective function under the second constraint condition.

[0095] In an optional embodiment, assuming that e2 represents the calculation error of the electromagnetic field under high-frequency conditions, the objective function of the second meshing strategy can be defined as follows:

[0096] F 2min =e2+a3*number of grids in key area+a4*stability index of key area

[0097] Where e2 is the electromagnetic field calculation error under high-frequency conditions, and a3 and a4 are weight coefficients used to balance accuracy, efficiency, and stability.

[0098] It should be noted that there is no coefficient before e2 in the objective function of the second re-gridding strategy because the proportion of e2 is the most important. It is necessary to ensure that the simulation has no error or the error is very small. The number of grids and stability are not so demanding. e2 can also be determined based on the difference between the simulation value and the standard value between different nodes. The stability index can be determined by the norm ratio of the simulation residual vector of the key area and the original comparison residual limit vector obtained by residual analysis.

[0099] For example, for the first regridding strategy, a1 = 0.01 and a2 = 0.001 can be selected to minimize the total number of grid cells while ensuring accuracy and maintaining stability. For the second regridding strategy, a3 = 0.1 and a4 = 0.01 can be selected to ensure sufficient accuracy in key areas while controlling the number of grid cells and maintaining stability.

[0100] In the embodiment of the present application, the second constraint condition includes:

[0101] Mesh size constraint: Ensures that the mesh size in critical areas does not fall below a certain minimum value.

[0102] Maximum mesh size in critical areas: Ensures that the mesh size in critical areas does not exceed a certain maximum value.

[0103] Grid cell number constraint: Ensure that the number of grid cells in the critical area does not exceed a certain upper limit.

[0104] Computational accuracy constraint: ensures that the computational error in key areas does not exceed a certain threshold.

[0105] It should be noted that the benefit of step S102 is that it can further refine the meshing of critical areas, thereby enabling more precise analysis of local regions while maintaining overall simulation accuracy. This dual meshing strategy achieves higher simulation accuracy in critical areas, while using a coarser mesh size in non-critical areas to conserve computing resources. This approach not only improves simulation efficiency but also provides more accurate simulation data for transformer design, thereby enhancing design reliability.

[0106] S103, obtaining a grid size of the target transformer winding after the second segmentation operation, and completing segmentation of the target transformer according to the grid size.

[0107] In an optional embodiment, electromagnetic field simulation can be performed based on the target transformer winding model after segmentation. During the simulation process, advanced numerical calculation methods, such as the finite element method (FEM) or the finite difference method (FDM), are used to ensure the accuracy and reliability of the calculation results. The simulation takes into account factors such as the material properties, geometry, and boundary conditions of the transformer winding to simulate the electromagnetic field distribution under actual operating conditions.

[0108] In an optional embodiment, the simulation results can be analyzed to extract key parameters such as flux density, current density, and loss distribution. By comparing the simulation results with the design requirements, the performance of the target transformer winding can be evaluated to determine whether it meets the expected goals. If the simulation results do not meet the design requirements, the process returns to step S102 to adjust the meshing strategy and optimize the meshing of key areas to improve simulation accuracy.

[0109] In an optional embodiment, the target transformer windings can be optimized based on the simulation results. During the optimization process, parameters such as the number of turns, wire diameter, and layout can be adjusted to achieve optimal performance. The optimized design should comprehensively consider factors such as electromagnetic performance, thermal performance, and mechanical strength to ensure the transformer's reliability and long-term stable operation.

[0110] In an optional embodiment, after the optimized design is completed, an actual prototype can be manufactured and tested. The accuracy of the simulation results is verified experimentally, and the prototype is tested for performance, including key indicators such as load capacity, efficiency, and temperature rise. If the test results meet the design requirements, mass production can begin. If the test results do not meet the expected goals, the process returns to step S102 and repeats the simulation analysis and optimized design.

[0111] In summary, the present invention proposes a double mesh splitting method suitable for transformer windings, which obtains the operating frequency of the target transformer, and performs a first splitting operation on the winding of the target transformer according to the operating frequency in combination with a first mesh splitting strategy; performs a second splitting operation on the target transformer winding after the first splitting operation in combination with a second mesh splitting strategy; obtains the grid size of the target transformer winding after the second splitting operation, and completes the splitting of the target transformer according to the grid size. By adopting a double mesh splitting strategy, the present invention can effectively improve the accuracy of the transformer winding simulation model while reducing the consumption of computing resources. Specifically, the first mesh splitting strategy mainly focuses on the length direction of the winding, identifies the key area through preliminary simulation results, and performs refinement processing. The second mesh splitting strategy further refines the key area, especially performs more detailed division in the cross-sectional direction of the winding to ensure the accuracy of the simulation results.

[0112] In summary, the dual meshing method and system of the present invention have the following advantages:

[0113] 1. Improve simulation accuracy: The dual meshing strategy can more accurately simulate the electromagnetic field distribution in the transformer winding, thereby improving the accuracy of the simulation results.

[0114] 2. Optimize computing resources: By reasonably dividing the grid size, the consumption of computing resources can be reduced while ensuring accuracy, thereby improving simulation efficiency.

[0115] 3. Automated processing: The double meshing method is implemented through computer programs, making the entire process automated, reducing human operating errors and improving work efficiency.

[0116] 4. Improve design reliability: The dual meshing method can provide more accurate simulation data for transformer design, thereby improving the reliability of transformer design.

[0117] In summary, the dual mesh generation method and system for transformer windings proposed in the present invention can not only improve simulation accuracy and efficiency, but also optimize the use of computing resources, and has broad application prospects.

[0118] This embodiment also provides a double mesh subdivision system suitable for transformer windings, including:

[0119] A first segmentation module is used to obtain an operating frequency of a target transformer and perform a first segmentation operation on the winding of the target transformer according to the operating frequency in combination with a first regridding strategy;

[0120] A second splitting module, configured to perform a second splitting operation on the target transformer winding after the first splitting operation in combination with a second grid splitting strategy;

[0121] The third segmentation module is used to obtain the grid size of the target transformer winding after the second segmentation operation, and complete the segmentation of the target transformer according to the grid size.

[0122] The above-mentioned unit modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of the above-mentioned modules.

[0123] This embodiment also provides a computer device, which may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 5 As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a double grid division method suitable for transformer windings is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad provided on the computer device housing, or an external keyboard, touchpad or mouse.

[0124] This embodiment further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the following steps are implemented:

[0125] Obtaining an operating frequency of a target transformer, and performing a first meshing operation on a winding of the target transformer according to the operating frequency and a first meshing strategy;

[0126] Performing a second meshing operation on the target transformer winding after the first meshing operation in combination with a second meshing strategy;

[0127] The grid size of the target transformer winding after the second segmentation operation is obtained, and segmentation of the target transformer is completed according to the grid size.

[0128] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0129] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code. The scheme in the embodiment of the present application can be implemented in various computer languages, for example, object-oriented programming language Java and literal translation scripting language JavaScript, etc.

[0130] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0131] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0132] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1The steps for the function specified in one or more boxes.

[0133] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0134] Obviously, those skilled in the art may make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is intended to include these modifications and variations.

Claims

1. A double meshing method for transformer windings, characterized in that: include: Acquiring an operating frequency of a target transformer, and performing a first meshing operation on a winding of the target transformer according to the operating frequency in combination with a first re-meshing strategy; Performing a second meshing operation on the target transformer winding after the first meshing operation in combination with a second meshing strategy; Obtaining a grid size of the target transformer winding after the second splitting operation, and completing the splitting of the target transformer according to the grid size; The first meshing strategy includes: Considering the target transformer as a whole, obtaining overall geometric parameters of the target transformer winding, wherein the overall geometric parameters include at least length, diameter, and core size; Select the initial grid size h1 for length, h1 = 1 / 10·λ, where λ represents the wavelength and is obtained by the operating frequency of the target transformer; Preliminarily simulating a target transformer winding model based on the preliminary division grid size h1, and identifying a first key area of ​​the target transformer winding according to the preliminary simulation results; The first meshing strategy also includes: The first key area is divided into several sub-areas, and the grid size of each sub-area is h 2,i , h 2,i =k i ·λ, where k i is the scaling factor for each region; The grid transition size between the critical area and the non-critical area is defined as h3; And according to the divided h1, h 2,i And h3 re-performs preliminary simulation to determine whether the preliminary simulation results meet the accuracy requirements; The determining whether the preliminary simulation results meet the accuracy requirements includes: presetting a first-level grid subdivision strategy objective function and a first-level constraint condition, and determining whether the preliminary simulation results meet the accuracy requirements based on the value of the first-level grid subdivision strategy objective function under the first-level constraint condition.

2. The double mesh generation method for transformer windings according to claim 1, wherein: The second meshing strategy includes: Obtaining preliminary simulation results of the target transformer winding after the first splitting operation, and obtaining a second key area; Select the mesh size h4 for the cross section, h4 = h1 / n, where n represents the refinement factor; The second key area is divided into several sub-areas, and the grid size of each sub-area is h 5,j , h 5,j =k j ·λ, where k j is the scaling factor for each region.

3. The double mesh generation method for transformer windings according to claim 2, wherein: The second meshing strategy also includes: The grid transition size between the critical area and the non-critical area is defined as h6; And according to the divided h1, h 2,i 、h3、h4、h 5,j And h6 re-simulates to determine whether the simulation results meet the accuracy requirements.

4. The double mesh generation method for transformer windings according to claim 3, wherein: The second grid subdivision strategy also includes: presetting a second grid subdivision strategy objective function and a second constraint condition, and judging whether the simulation result meets the accuracy requirement according to the value of the second grid subdivision strategy objective function under the second constraint condition.

5. A double mesh subdivision system for transformer windings using the method according to claim 1, characterized in that: include: A first segmentation module, configured to obtain an operating frequency of a target transformer, and perform a first segmentation operation on the windings of the target transformer according to the operating frequency in combination with a first regridding strategy; A second splitting module, configured to perform a second splitting operation on the target transformer winding after the first splitting operation in combination with a second grid splitting strategy; The third segmentation module is used to obtain the grid size of the target transformer winding after the second segmentation operation, and complete the segmentation of the target transformer according to the grid size.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 4 are implemented.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

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