Dual mesh generation method and system suitable for transformer winding

Abstract

The invention discloses a dual mesh generation method and system suitable for a transformer winding. The method comprises the steps that the working frequency of a target transformer is obtained, and first mesh generation operation is conducted on the winding of the target transformer according to the working frequency in combination with a first mesh generation strategy; performing second subdivision operation on the target transformer winding subjected to the first subdivision operation in combination with a second grid subdivision strategy; and obtaining the grid size of the target transformer winding after the second subdivision operation, and completing subdivision of the target transformer according to the grid size. By adopting the double mesh generation strategy, the precision of the transformer winding simulation model can be effectively improved, and meanwhile consumption of computing resources is reduced. Through a double mesh generation strategy, the electromagnetic field distribution in the transformer winding can be simulated more accurately, so that the accuracy of a simulation result is improved. By reasonably dividing the grid size, the consumption of computing resources can be reduced on the premise of ensuring the precision, and the simulation efficiency is improved.

Description

Technical Field

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

[0002] In the simulation and analysis of transformer windings, traditional meshing methods often cannot take into account both computational accuracy and computational efficiency. In order to improve the accuracy of simulation results and reduce the consumption of computing resources, the dual meshing method came into being. This method uses a finer mesh size in critical areas and a coarser mesh size in non-critical areas, thereby ensuring accuracy while improving computational efficiency.

[0003] However, the existing dual meshing methods still have some problems 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 need further research and improvement. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot 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] Acquire an operating frequency of a target transformer, and perform 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 segmentation operation is obtained, and the segmentation 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 of the present invention, the first meshing strategy includes:

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

[0014] Select the initial mesh size h for the length 1 ,h 1 =1 / 10·λ, λ represents the wavelength, which is obtained by the operating frequency of the target transformer;

[0015] Based on the preliminary division grid size h 1 A target transformer winding model is preliminarily simulated, and a first critical area of ​​the target transformer winding is identified based on the preliminary simulation results.

[0016] As a preferred solution of the double mesh partitioning method applicable to transformer windings of the present invention, the first mesh partitioning 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 h 3 ;

[0019] And according to the divided h 1 、h 2,i and h 3 Re-perform preliminary simulation to determine whether the preliminary simulation results meet the accuracy requirements.

[0020] As a preferred scheme 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 mesh generation method applicable to transformer windings of the present invention, the second mesh generation 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 h for the cross section 4 ,h 4 =h 1 / n, 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 mesh generation method applicable to transformer windings of the present invention, the second mesh generation strategy further includes:

[0026] The grid transition size between the critical area and the non-critical area is defined as h 6 ;

[0027] And according to the divided h 1 、h 2,i 、h 3 、h 4 、h 5,j and h 6 Re-simulate to determine whether the simulation results meet the accuracy requirements.

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

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

[0030] A first segmentation module, used for acquiring an operating frequency of a target transformer, and performing a first segmentation operation on a winding of the target transformer according to the operating frequency in combination with a first re-gridding strategy;

[0031] A second partitioning module, used to perform a second partitioning operation on the target transformer winding after the first partitioning operation in combination with a second grid partitioning 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-mentioned 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, wherein the computer program implements the steps of the method described above when 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 division method and system suitable for transformer windings, obtains the operating frequency of the target transformer, and performs a first division operation on the winding of the target transformer according to the operating frequency combined with a first grid division strategy; performs a second division operation on the target transformer winding after the first division operation in combination with a second grid division strategy; obtains the grid size of the target transformer winding after the second division operation, and completes the division of the target transformer according to the grid size. By adopting a double grid division 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 grid division strategy mainly focuses on the length direction of the winding, identifies the key area through preliminary simulation results, and performs refinement processing. The second grid division strategy further refines the key area, especially performs a more detailed division in the cross-sectional direction of the winding to ensure the accuracy of the simulation results.

[0036] In summary, the dual grid generation method and system of the present invention has 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 and the simulation efficiency can be improved while ensuring accuracy.

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

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

[0041] In summary, the double 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. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0043] Figure 1 A 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 applicable to transformer windings provided by an embodiment of the present invention;

[0045] Figure 3 A schematic diagram of cross-sectional meshing in the prior art of a double meshing method and system applicable to transformer windings provided by an embodiment of the present invention;

[0046] Figure 4 A schematic diagram of a mesh after being divided using the prior art, provided by an embodiment of the present invention, for a double mesh division method and system applicable to transformer windings;

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

[0048] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art 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 describing the embodiments of the present application in detail, some related concepts are first explained for the sake of clarity.

[0052] Transformer winding: Transformer winding refers to the part of the transformer that is responsible for transmitting electrical energy. It is usually wound with multiple layers of insulated copper or aluminum wire. Transformer windings can be divided into primary windings (primary windings) and secondary windings (secondary windings). The primary winding receives the input voltage of the power supply, and the secondary winding outputs the transformed voltage. The design and manufacture of the winding directly affect the performance and efficiency of the transformer. In electrical engineering, the design of transformer windings involves many aspects such as 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 grid of the transformer winding in two stages. This method uses a finer grid size in critical areas and a coarser grid size in non-critical areas, thereby reducing the demand for computing resources while ensuring accuracy. First meshing: Focusing on the length direction of the winding, the critical areas are identified and refined through preliminary simulation results. Second meshing: Further refine 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 grid size, not only the simulation accuracy is improved, but also the use of computing resources can be optimized. In addition, this method can provide more accurate simulation data for transformer design, thereby improving the reliability of the design.

[0054] In the related technologies, there are some problems, such as insufficient simulation accuracy, excessive consumption of computing resources, and cumbersome process of establishing simulation models, etc. These problems limit the efficiency of transformer design and optimization to a certain extent.

[0055] like Figure 2-4 As shown in the figure, they are 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 cross-section mesh generation in the prior art. It can be seen from the figure that it is based on the already divided Figure 2 The winding cross section of any section is divided 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 needs to be accurately simulated.

[0056] The present application provides a method that can effectively solve the above-mentioned problems. Next, multiple embodiments will be combined to explain in detail how to implement the double mesh partitioning method applicable to transformer windings.

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

[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 grid generation strategy includes:

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

[0061] Select the initial mesh size h for the length 1 ,h 1 =1 / 10·λ, λ represents the wavelength, which is obtained by the operating frequency of the target transformer;

[0062] Based on the preliminary division grid size h 1 A target transformer winding model is preliminarily simulated, and a first critical area of ​​the target transformer winding is identified based on the preliminary simulation results.

[0063] It should be noted that the first key area at least includes the winding end area, the winding and core contact area, and the winding coupling area. These areas play a vital role in the electromagnetic field distribution, so special attention needs to be paid to ensure the accuracy of the simulation results.

[0064] In the embodiment of the present application, the first grid generation 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 h 3 ;

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

[0068] h 3 (x) = h1 +(h 2,i -h 1 )·W1

[0069] Where x is the position coordinate in the transition zone for length, x 1 is the starting position of the transition zone for length, W1 is the width ratio of the transition zone for length;

[0070] And according to the divided h 1 、h 2,i and h 3 Re-perform 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 meshing 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 meshing 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] Among them, e1 is the electromagnetic field calculation error under low-frequency conditions, which is used to measure whether the 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 ensure that the simulation has no error or the error is very small. There is no such great demand for the number of grids and stability 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 constraint condition includes:

[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 that the calculation is feasible.

[0080] Computational accuracy constraint: ensure 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 size of the grid division according to the operating frequency and geometric parameters of the transformer, thereby providing a reasonable starting point for subsequent simulation. By identifying the key areas through preliminary simulation results and performing refinement, it is possible to ensure that higher simulation accuracy is obtained in the key areas, while a coarser grid size is used in non-key areas to save computing resources. This method not only improves the simulation efficiency, but also provides more accurate simulation data for transformer design, thereby improving the reliability of the design.

[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 grid generation 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 key area at least includes the high field strength area inside the winding, the air gap area between the winding and the core, and the heat dissipation channel area of ​​the winding. These areas play a key role in the performance and stability of the transformer, so detailed simulation analysis is required to ensure the efficient operation and long-term reliability of the transformer.

[0086] Select the mesh size h for the cross section 4 ,h 4 =h 1 / n, 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 also includes:

[0089] The grid transition size between the critical area and the non-critical area is defined as h 6 ;

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

[0091] h 6(x) = h 4 +(h 5,j -h 4 )·W2

[0092] Where y is the position coordinate in the transition zone of the cross section, 1 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 h 1 、h 2,i 、h 3 、h 4 、h 5,j and h 6 Re-simulate to determine whether the simulation results meet the accuracy requirements.

[0094] In an embodiment of the present application, the second meshing strategy also includes: presetting a second meshing 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 meshing 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 in key area

[0097] Among them, 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 based on the norm ratio of the simulation residual vector in the key area obtained by residual analysis and the original comparison residual limit vector.

[0099] For example, for the first gridding strategy, a1=0.01, a2=0.001 can be selected to ensure that the total number of grid cells is reduced as much as possible while ensuring accuracy and maintaining stability. For the second gridding strategy, a3=0.1, 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: Ensure 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: Ensure that the computational error in the critical area 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 key areas, thereby ensuring the overall simulation accuracy while performing a more accurate analysis of local areas. Through this dual meshing strategy, higher simulation accuracy can be obtained in key areas, while coarser mesh sizes are used in non-key areas to save computing resources. This method not only improves simulation efficiency, but also provides more accurate simulation data for transformer design, thereby improving the reliability of the design.

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

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

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

[0110] In an optional embodiment, after the optimization design is completed, the actual prototype can be manufactured and tested. The accuracy of the simulation results is verified by experiments, and the performance of the prototype is tested, including key indicators such as load capacity, efficiency, and temperature rise. If the test results meet the design requirements, the batch production stage can be entered; if the test results do not meet the expected goals, it is necessary to return to step S102 and re-perform simulation analysis and optimization design.

[0111] In summary, the present invention proposes a double mesh partitioning method suitable for transformer windings, obtains the operating frequency of the target transformer, and performs a first partitioning operation on the winding of the target transformer according to the operating frequency in combination with a first mesh partitioning strategy; performs a second partitioning operation on the target transformer winding after the first partitioning operation in combination with a second mesh partitioning strategy; obtains the grid size of the target transformer winding after the second partitioning operation, and completes the partitioning of the target transformer according to the grid size. By adopting a double mesh partitioning 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 partitioning 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 partitioning strategy further refines the key area, especially performs a more detailed division in the cross-sectional direction of the winding to ensure the accuracy of the simulation results.

[0112] In summary, the dual grid generation method and system of the present invention has 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 and the simulation efficiency can be improved while ensuring accuracy.

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

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

[0117] In summary, the double 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 grid division system suitable for transformer windings, including:

[0119] A first segmentation module, used for acquiring an operating frequency of a target transformer, and performing a first segmentation operation on a winding of the target transformer according to the operating frequency in combination with a first re-grid segmentation strategy;

[0120] A second partitioning module, used to perform a second partitioning operation on the target transformer winding after the first partitioning operation in combination with a second grid partitioning 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 may be embedded in or independent of a processor in a computer device in the form of hardware, or may be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to 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 through a system bus. Among them, 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 covered on the display screen, or a key, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

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

[0125] Acquire an operating frequency of a target transformer, and perform 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 the 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 rather than to limit it. 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 present application can adopt the form of complete hardware embodiments, complete software embodiments, or embodiments in combination with software and hardware. Moreover, the present 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 embodiments of the present application can be implemented in various computer languages, for example, object-oriented programming language Java and literal 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 generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. 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 capable of directing a computer or other programmable data processing device to operate 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 A 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 operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions 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 other 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 falling within the scope of the present application.

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

Claims

1. A double meshing method suitable for transformer windings, characterized in that: include: Acquire an operating frequency of a target transformer, and perform 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; The grid size of the target transformer winding after the second segmentation operation is obtained, and the segmentation of the target transformer is completed according to the grid size.

2. The double mesh generation method for transformer windings according to claim 1, characterized in that: The first grid generation strategy includes: Considering the target transformer as a whole, obtaining the overall geometric parameters of the target transformer winding, wherein the overall geometric parameters include at least the length, the diameter and the core size; Select the initial division grid size h1 for length, h1 = 1 / 10·λ, λ represents the wavelength, which is obtained by the operating frequency of the target transformer; 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.

3. The double meshing method for transformer windings according to claim 2, characterized in that: The first grid generation 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.

4. The double mesh generation method for transformer windings according to claim 3, characterized in that: The determining whether the preliminary simulation results meet the accuracy requirements includes: presetting a first-level grid division strategy objective function and a first-level constraint condition, and determining whether the preliminary simulation results meet the accuracy requirements according to the value of the first-level grid division strategy objective function under the first-level constraint condition.

5. The double mesh generation method for transformer windings according to claim 4, characterized in that: 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.

6. The double mesh generation method for transformer windings according to claim 5, characterized in that: 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.

7. The double mesh generation method for transformer windings according to claim 6, characterized in that: The second-level meshing strategy also includes: presetting a second-level meshing strategy objective function and a second-level constraint condition, and judging whether the simulation result meets the accuracy requirement according to the value of the second-level meshing strategy objective function under the second-level constraint condition.

8. A double meshing system suitable for transformer windings, characterized in that: include: A first segmentation module, used for acquiring an operating frequency of a target transformer, and performing a first segmentation operation on a winding of the target transformer according to the operating frequency in combination with a first re-gridding strategy; A second partitioning module, used to perform a second partitioning operation on the target transformer winding after the first partitioning operation in combination with a second grid partitioning 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.

9. 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 7 are implemented.

10. 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 7 are implemented.

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