Dual meshing method and system applicable to winding of transformer

Abstract

Disclosed in the present invention are a dual meshing method and system applicable to a winding of a transformer. The method comprises: acquiring an operating frequency of a target transformer, and performing a first meshing operation on a winding of the target transformer on the basis of the operating frequency in combination with a first meshing strategy; using a second meshing strategy to perform a second meshing operation on the winding of the target transformer having undergone the first meshing operation; and acquiring a mesh size of the winding of the target transformer having undergone the second meshing operation, and completing meshing of the target transformer on the basis of the mesh size. By using a dual meshing strategy, the present invention can effectively improve the accuracy of a simulation model of a winding of a transformer and reduce the consumption of computing resources. By means of the dual meshing strategy, the electromagnetic field distribution in the winding of transformer can be simulated more accurately, thereby improving the accuracy of a simulation result. By reasonably determining the mesh size, the consumption of computing resources can be reduced while ensuring accuracy, thereby improving simulation efficiency.

Description

A double-mesh partitioning method and system suitable for transformer winding TECHNICAL FIELD

[0001] The present application relates to the technical field of transformer winding mesh partitioning, and particularly relates to a double-mesh partitioning method and system suitable for transformer winding. BACKGROUND

[0002] In the simulation and analysis of transformer windings, traditional mesh partitioning methods often cannot balance calculation accuracy and calculation efficiency. In order to improve the accuracy of simulation results and reduce the consumption of computing resources, a double-mesh partitioning method has emerged. This method uses finer mesh sizes in key areas and coarser mesh sizes in non-key areas, thereby improving calculation efficiency while ensuring accuracy.

[0003] However, existing double-mesh partitioning methods still have some problems in practical application. 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

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

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

[0006] Therefore, the present application provides a double-mesh partitioning method and system suitable for transformer winding, which can solve the problems mentioned in the background art.

[0007] To solve the above technical problems, the present application provides the following technical solutions:

[0008] In a first aspect, the present application provides a double-mesh partitioning method suitable for transformer winding, comprising:

[0009] Obtaining the working frequency of the target transformer, and performing a first partitioning operation on the winding of the target transformer according to the working frequency combined with a first double-mesh partitioning strategy;

[0010] Performing a second partitioning operation on the winding of the target transformer after the first partitioning operation combined with a second double-mesh partitioning strategy;

[0011] Obtaining the mesh size of the winding of the target transformer after the second partitioning operation, and completing the partitioning of the target transformer according to the mesh size.

[0012] As a preferred solution of the double-mesh dissection method for transformer windings according to the present application, wherein: the first-mesh dissection strategy comprises:

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

[0014] Select a preliminary division mesh size h1 for the length, h1 = 1 / 10·λ, λ represents the wavelength, which is obtained by the working frequency of the target transformer;

[0015] Preliminary simulation of the target transformer winding model is carried out based on the preliminary division mesh size h1, and the first key area of the target transformer winding is identified according to the preliminary simulation result.

[0016] As a preferred solution of the double-mesh dissection method for transformer windings according to the present application, wherein: the first-mesh dissection strategy further comprises:

[0017] The first key area is divided into several sub-areas, and the mesh size of each sub-area is h 2,i , h 2,i =k i ·λ, wherein k i is a proportionality coefficient for each area;

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

[0019] And according to the divided h1, h 2,i and h3, preliminary simulation is carried out again to determine whether the preliminary simulation result meets the accuracy requirement.

[0020] As a preferred solution of the double-mesh dissection method for transformer windings according to the present application, wherein: the determination of whether the preliminary simulation result meets the accuracy requirement comprises: presetting a first-mesh dissection strategy objective function and a first constraint condition, and determining whether the preliminary simulation result meets the accuracy requirement according to the value of the first-mesh dissection strategy objective function under the first constraint condition.

[0021] As a preferred solution of the double-mesh dissection method for transformer windings according to the present application, wherein: the second-mesh dissection strategy comprises:

[0022] The preliminary simulation result of the target transformer winding after the first dissection operation is obtained, and the second key area is obtained;

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

[0024] The second key region is divided into several sub-regions, and the grid size of each sub-region is h 5,j , h 5,j =k j ·λ, wherein k j is a proportional coefficient for each region.

[0025] As a preferred scheme of the double grid division method for transformer windings according to the application, wherein: the second heavy grid division strategy further comprises:

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

[0027] And according to the divided h1, h 2,i , h3, h4, h 5,j and h6, re-simulation is performed to determine whether the simulation result meets the accuracy requirement.

[0028] As a preferred scheme of the double grid division method for transformer windings according to the application, wherein: the second heavy grid division strategy further comprises: a preset second heavy grid division strategy objective function and a second heavy constraint condition, and whether the simulation result meets the accuracy requirement is determined according to the value of the second heavy grid division strategy objective function under the second heavy constraint condition.

[0029] In a second aspect, the application provides a double grid division system for transformer windings, comprising:

[0030] A first division module is configured to obtain the working frequency of a target transformer, and perform a first division operation on the winding of the target transformer according to the working frequency and in combination with a first heavy grid division strategy;

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

[0032] A third division module is configured to obtain the grid size of the winding of the target transformer after the second division operation, and complete the division of the target transformer according to the grid size.

[0033] In a third aspect, the application 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 method described above when executing the computer program.

[0034] In a fourth aspect, the application provides a computer readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the steps of the method described above.

[0035] Compared with the prior art, the present application has the following advantages: The present application proposes a double-mesh partitioning method and system suitable for transformer windings, obtains the working frequency of the target transformer, and performs a first partitioning operation on the windings of the target transformer according to the working frequency combined with a first-mesh partitioning strategy; performs a second partitioning operation on the windings of the target transformer after the first partitioning operation combined with a second-mesh partitioning strategy; obtains the mesh size of the windings of the target transformer after the second partitioning operation, and completes the partitioning of the target transformer according to the mesh size. By adopting the double-mesh partitioning strategy, the present application can effectively improve the precision of the simulation model of the transformer windings while reducing the consumption of computing resources. Specifically, the first-mesh partitioning strategy mainly focuses on the length direction of the windings, and identifies the key areas through preliminary simulation results and performs refinement processing. The second-mesh partitioning strategy further refines the key areas, especially in the cross-sectional direction of the windings, to ensure the precision of the simulation results.

[0036] In summary, the double-mesh partitioning method and system of the present application has the following advantages:

[0037] 1. Improved simulation precision: By adopting the double-mesh partitioning strategy, the electromagnetic field distribution in the transformer windings can be simulated more accurately, thereby improving the accuracy of the simulation results.

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

[0039] 3. Automated processing: The double-mesh partitioning method is realized by a computer program, making the entire process automated, reducing human error, and improving work efficiency.

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

[0041] In summary, the double-mesh partitioning method and system suitable for transformer windings proposed by the present application not only improves the simulation precision and efficiency, but also optimizes the use of computing resources, and has a wide application prospect. BRIEF DESCRIPTION OF DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor. Among them:

[0043] Figure 1 is a flow chart of a method for a double mesh partitioning method and system for transformer windings according to an embodiment of the present application;

[0044] Figure 2 is a diagram of a length mesh partitioning in the prior art according to an embodiment of the present application;

[0045] Figure 3 is a diagram of a cross-section mesh partitioning in the prior art according to an embodiment of the present application;

[0046] Figure 4 is a diagram of a mesh after partitioning using the prior art according to an embodiment of the present application;

[0047] Figure 5 is a diagram of the internal structure of a computer device according to an embodiment of the present application. DETAILED DESCRIPTION

[0048] In order to make the above objectives, features and advantages of the present application more apparent, detailed explanations of the specific embodiments of the present application will be given below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work should fall within the scope of protection of the present application.

[0049] Embodiment 1

[0050] Referring to Figures 1-5, the first embodiment of the present application provides a double mesh partitioning method and system for transformer windings, comprising:

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

[0052] Transformer winding: Transformer winding refers to the part inside the transformer responsible for transmitting electrical energy, usually made of multiple layers of insulated copper or aluminum wire. Transformer winding can be divided into primary winding (primary winding) and secondary winding (secondary winding). The primary winding receives the input voltage of the power supply, and the secondary winding outputs the voltage after transformation. The design and manufacture of the winding directly affect the performance and efficiency of the transformer. In electrical engineering, the design of transformer winding involves material selection, insulation treatment, heat dissipation design and other aspects.

[0053] Double mesh partitioning: Double mesh partitioning is a method for improving the accuracy and efficiency of electromagnetic simulation, which divides the mesh of the transformer winding into two stages. This method uses finer mesh size in key areas and coarser mesh size in non-key areas, so as to reduce the demand for computing resources while ensuring accuracy. First mesh partitioning: Focuses on the length direction of the winding, identifies key areas through preliminary simulation results and refines them. Second mesh partitioning: Further refines the key areas, especially in the cross-sectional direction of the winding, to ensure the accuracy of the simulation results. Double mesh partitioning 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 provide more accurate simulation data for transformer design, thereby improving the reliability of the design.

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

[0055] As shown in Figures 2-4, which are the mesh partitioning methods used in the process of implementing transformer winding simulation in the prior art, Figure 2 is a schematic diagram of the existing length mesh partitioning, which can be seen that it divides the winding into multiple segments along the length direction; Figure 3 is a schematic diagram of the cross-sectional mesh partitioning in the prior art, which can be seen that it is based on the cross section of the winding in any segment divided in Figure 2, and each cross section is divided into several units; Figure 4 is the final mesh diagram divided by using the existing technology shown in Figures 2 and 3, the existing technology simply divides the transformer winding coil horizontally and vertically, without distinguishing whether a certain area is key or not, or whether it is a part that needs to be accurately simulated.

[0056] The present application provides a method for effectively solving the above-mentioned problems, and the following will be described in detail how to realize the double mesh partitioning method applicable to transformer winding by combining multiple embodiments;

[0057] Figure 1 shows a method flowchart of a double mesh partitioning method and system applicable to transformer winding, including:

[0058] S101, obtaining the working frequency of the target transformer, and performing first partitioning operation on the winding of the target transformer according to the working frequency combined with the first mesh partitioning strategy;

[0059] In the embodiments of the present application, the first mesh partitioning strategy includes:

[0060] The target transformer is considered as a whole, and the overall geometric parameters of the winding of the target transformer are obtained, the overall geometric parameters at least including length, diameter and core size;

[0061] A preliminary division grid size h1 for the length is selected, h1 = 1 / 10·λ, λ representing the wavelength obtained by the working frequency of the target transformer;

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

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

[0064] In the embodiments of the present application, the first re-meshing strategy further includes:

[0065] The first key region is divided into a plurality of sub-regions, and the grid size of each sub-region is h 2,i , h 2,i =k i ·λ, wherein k i is a proportionality coefficient for each region;

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

[0067] In the embodiments of the present application, the grid transition size between the key region and the non-key region can be represented as: h3(x) = h1 + (h 2,i -h1)·W1

[0068] Wherein, x is the position coordinate within the transition region for the length, x1 is the starting position of the transition region for the length, and W1 is the width proportion occupied by the transition region for the length;

[0069] And the preliminary simulation is re-performed according to the divided h1, h 2,i and h3, to determine whether the preliminary simulation result meets the accuracy requirement.

[0070] In the embodiments of the present application, determining whether the preliminary simulation result meets the accuracy requirement includes: presetting a first re-meshing strategy objective function and a first re-constraint condition, and determining whether the preliminary simulation result meets the accuracy requirement according to the value of the first re-meshing strategy objective function under the first re-constraint condition.

[0071] In an optional embodiment, assuming that e1 represents the calculation error of the electromagnetic field under low-frequency conditions, the first re-meshing strategy objective function can be defined as follows:

[0072] where e1 is the calculation error of the electromagnetic field under low-frequency conditions, used to measure whether the mesh division will cause numerical instability. a1 and a2 are weight coefficients, used to balance accuracy, efficiency and stability.

[0073] It should be noted that there is no coefficient in front of e1 in the first re-meshing strategy objective function, because the proportion of e1 is the most important, and it is necessary to first ensure that the simulation has no error or very small error, and the number of meshes and stability have not such a big demand. e1 can be determined according to the difference between the simulation value and the standard value of different nodes, and the stability index can be determined according to the norm ratio of the simulation residual vector and the original residual limit vector in different regions.

[0074] In the embodiments of the present application, the first constraint condition includes:

[0075] Minimum mesh size: the mesh size cannot be smaller than a certain minimum value, so as to prevent too fine mesh from causing insufficient computing resources.

[0076] Maximum mesh size: the mesh size also cannot be too large, so as to ensure a certain calculation accuracy.

[0077] Mesh cell number constraint: the number of mesh cells cannot exceed a certain upper limit, so as to ensure the calculation is feasible.

[0078] Calculation accuracy constraint: ensure that the calculation error does not exceed a certain threshold.

[0079] It should be noted that the advantage of step S101 is that the size of mesh division can be preliminarily determined according to the working frequency and geometric parameters of the transformer, thereby providing a reasonable starting point for subsequent simulation. By identifying the key area from the preliminary simulation result and performing fine processing, higher simulation accuracy can be ensured in the key area, while coarser mesh 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.

[0080] S102, performing a second meshing operation on the target transformer winding after the first meshing operation in combination with a second re-meshing strategy;

[0081] In the embodiments of the present application, the second re-meshing strategy includes:

[0082] Obtaining the preliminary simulation result of the target transformer winding after the first meshing operation, and obtaining the second key area;

[0083] It should be noted that the second key area at least includes a high field strength area inside the winding, an air gap area between the winding and the core, and a heat dissipation channel area of the winding. These areas play a key role in the performance and stability of the transformer, and therefore require detailed simulation analysis to ensure efficient operation and long-term reliability of the transformer.

[0084] The grid size h4 for the section is selected, h4 = h1 / n, n represents a refinement factor;

[0085] The second key area is divided into a plurality of sub-areas, and the grid size of each sub-area is h 5,j , h 5,j =k j ·λ, wherein k j is a proportional coefficient for each area.

[0086] In the embodiments of the present application, the second re-meshing strategy further includes:

[0087] The grid transition size between the key area and the non-key area is defined as h6;

[0088] In the embodiments of the present application, the grid transition size between the key area and the non-key area can be expressed as: h6(x) = h4 + (h 5,j -h4)·W2

[0089] wherein y is a position coordinate within the transition zone of the section, y1 is a starting position of the transition zone of the section, and W2 is a width proportion occupied by the transition zone of the section;

[0090] and re-simulates according to the divided h1, h 2,i , h3, h4, h 5,j and h6 to determine whether the simulation result meets the accuracy requirement.

[0091] In the embodiments of the present application, the second re-meshing strategy further includes: presetting a second re-meshing strategy objective function and a second constraint condition, and determining whether the simulation result meets the accuracy requirement according to the value of the second re-meshing strategy objective function under the second constraint condition.

[0092] In an optional embodiment, assuming that e2 represents the calculation error of the electromagnetic field under high frequency conditions, the second re-meshing strategy objective function can be defined as follows:

[0093] wherein e2 is the calculation error of the electromagnetic field under high frequency conditions, and a3 and a4 are weight coefficients for balancing accuracy, efficiency and stability.

[0094] It should be noted that in the first re-meshing strategy objective function, there is no coefficient in front of e2 because the proportion of e2 is the most important, and it is necessary to ensure that the simulation has no error or very small error, and the number of meshes and stability are not so demanding, e2 can be determined according to the difference between the simulation value and the standard value of different nodes, and the stability index can be determined according to the norm ratio of the simulation residual vector and the original comparison residual limit vector in the key area obtained by residual analysis.

[0095] For example, for the first re-meshing strategy, a1=0.01 and a2=0.001 can be selected to ensure that the total number of mesh units is reduced as much as possible while ensuring accuracy and maintaining stability. For the second re-meshing strategy, a3=0.1 and a4=0.01 can be selected to ensure sufficient accuracy in the key area while controlling the number of mesh units and maintaining stability.

[0096] In the embodiments of the present application, the second constraint condition includes:

[0097] Mesh size constraint: Ensure that the mesh size in the key area is not less than a certain minimum value.

[0098] Maximum mesh size in the key area: Ensure that the mesh size in the key area does not exceed a certain maximum value.

[0099] Mesh unit quantity constraint: Ensure that the number of mesh units in the key area does not exceed a certain upper limit.

[0100] Calculation accuracy constraint: Ensure that the calculation error in the key area does not exceed a certain threshold.

[0101] It should be noted that the advantage of step S102 is that it can further refine the mesh division in the key area, thereby ensuring the overall simulation accuracy while performing more accurate analysis on the local area. Through this double-meshing strategy, higher simulation accuracy can be achieved in the key area, while the non-key area uses a coarser mesh size 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.

[0102] S103, obtaining the mesh size of the target transformer winding after the second meshing operation, and completing the meshing of the target transformer according to the mesh size.

[0103] In an optional embodiment, electromagnetic field simulation can be performed based on the dissected target transformer winding model. Advanced numerical calculation methods such as finite element method (FEM) or finite difference method (FDM) can be adopted during the simulation process to ensure the accuracy and reliability of the calculation results. The simulation 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.

[0104] In an optional embodiment, the simulation results can also be analyzed to extract key parameters such as magnetic flux density, current density, and loss distribution. By comparing the simulation results with the design requirements, it can be 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 grid division strategy and optimize the grid division in the key area to improve the simulation accuracy.

[0105] In an optional embodiment, the target transformer winding can also be optimized based on the simulation results. During the optimization process, parameters such as the number of turns, wire diameter, and layout of the winding can be adjusted to achieve the best performance. The optimization design should consider factors such as electromagnetic performance, thermal performance, and mechanical strength to ensure the reliability and long-term stable operation of the transformer.

[0106] In an optional embodiment, after the optimization design is completed, the actual prototype can be manufactured and tested. The accuracy of the simulation results can be verified through experiments, and the performance of the prototype can be tested, including key indicators such as load capacity, efficiency, and temperature rise. If the test results meet the design requirements, it can enter the mass production stage; if the test results do not meet the expected target, it needs to return to step S102 to re-analyze and optimize the simulation.

[0107] In summary, the present application proposes a dual-grid division method suitable for transformer windings, obtains the working frequency of the target transformer, and performs a first division operation on the winding of the target transformer according to the working frequency combined with a first grid division strategy. A second division operation is performed on the target transformer winding after the first division operation combined with a second grid division strategy. The grid size of the target transformer winding after the second division operation is obtained, and the division of the target transformer is completed according to the grid size. By adopting the dual-grid division strategy, the present application 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, and the key area is identified and refined through the preliminary simulation results. The second grid division strategy further refines the key area, especially in the cross-sectional direction of the winding, to ensure the accuracy of the simulation results.

[0108] In summary, the double mesh partitioning method and system of the present application has the following advantages:

[0109] 1. Improved simulation accuracy: Through the double mesh partitioning strategy, the electromagnetic field distribution in the transformer winding can be more accurately simulated, thereby improving the accuracy of the simulation results.

[0110] 2. Optimized computing resources: By reasonably dividing the mesh size, the consumption of computing resources can be reduced while ensuring accuracy, improving simulation efficiency.

[0111] 3. Automation: The double mesh partitioning method is realized by computer program, which makes the whole process automated, reduces human error and improves work efficiency.

[0112] 4. Improved design reliability: The double mesh partitioning method can provide more accurate simulation data for transformer design, thereby improving the reliability of transformer design.

[0113] In summary, the double mesh partitioning method and system suitable for transformer winding proposed in the present application not only improves the simulation accuracy and efficiency, but also optimizes the use of computing resources, and has wide application prospect.

[0114] In this embodiment, a double mesh partitioning system suitable for transformer winding is also provided, which comprises:

[0115] The first partitioning module is used to obtain the working frequency of the target transformer, and perform first partitioning operation on the winding of the target transformer according to the working frequency combined with the first double mesh partitioning strategy.

[0116] The second partitioning module is used to perform second partitioning operation on the winding of the target transformer after the first partitioning operation combined with the second double mesh partitioning strategy.

[0117] The third partitioning module is used to obtain the mesh size of the winding of the target transformer after the second partitioning operation, and complete the partitioning of the target transformer according to the mesh size.

[0118] The above each unit module can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to call and execute the operation of each module by the processor.

[0119] The embodiment further provides a computer device which can be a terminal, and an internal structure diagram of the computer device can be as shown in Figure 5. The computer device comprises a processor, a memory, a communication interface, a display screen and an input device which are connected through a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device comprises 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 running of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to perform wired or wireless communication with an external terminal. The wireless communication can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by the processor to implement a double-mesh partitioning method suitable for a transformer winding. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or can be a key, trackball or touchpad arranged on the shell of the computer device, or can be an external keyboard, touchpad or mouse and the like.

[0120] The embodiment further provides a computer readable storage medium having a computer program stored thereon. The computer program is executed by a processor to implement the following steps:

[0121] The working frequency of the target transformer is acquired, and a first partitioning operation is performed on the winding of the target transformer according to the working frequency and in combination with a first double-mesh partitioning strategy;

[0122] A second partitioning operation is performed on the winding of the target transformer after the first partitioning operation in combination with a second double-mesh partitioning strategy;

[0123] The mesh size of the winding of the target transformer after the second partitioning operation is acquired, and the partitioning of the target transformer is completed according to the mesh size.

[0124] It should be noted that the above embodiment is only used to illustrate the technical solutions of the present application but not limit the present application. Although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical solutions of the present application, and all of them should be covered in the scope of the claims of the present application.

[0125] Those skilled in the art will appreciate that embodiments of the present application can be readily used as software, hardware, or a combination of software and hardware. In one embodiment, the present application can be implemented in software and can be stored on a computer readable medium, which can include random access memory (RAM), read only memory (ROM), magnetic disk or optical disk, or the like. The software implementation can comprise one or more computer program products.

[0126] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks or in combination with the flowchart block or blocks.

[0127] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks or combination thereof.

[0128] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks or in combination with the flowchart block or blocks.

[0129] While the preferred embodiments of the application have been described, additional variations and modifications can be employed by those skilled in the art. Therefore, the following claims are intended to cover all such modifications and variations as fall within the true scope of the present application.

[0130] Obviously, many modifications and variations of the present application are possible in light of the above teachings. It is, therefore, to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.

Claims

1. A double-mesh dissection method suitable for transformer windings, characterized in that, The method comprises the following steps: obtaining the working frequency of the target transformer, and performing a first meshing operation on the winding of the target transformer according to the working frequency and a first meshing strategy; performing a second meshing operation on the winding of the target transformer after the first meshing operation according to a second meshing strategy; obtaining the mesh size of the winding of the target transformer after the second meshing operation, and completing the meshing of the target transformer according to the mesh size.

2. The dual mesh partitioning method suitable for transformer windings as claimed in claim 1 wherein, The first meshing strategy comprises the following steps: considering the target transformer as a whole, obtaining the overall geometric parameters of the winding of the target transformer, the overall geometric parameters at least including length, diameter and core size; selecting a preliminary mesh size h1 for the length, h1 = 1 / 10·λ, λ representing the wavelength obtained through the working frequency of the target transformer; preliminarily simulating the winding model of the target transformer based on the preliminary mesh size h1, and identifying the first key area of the winding of the target transformer according to the preliminary simulation result.

3. The dual mesh partitioning method suitable for transformer windings as claimed in claim 2 wherein, The first meshing strategy further comprises the following steps: The first key region is divided into several sub-regions, and the grid size of each sub-region is h 2,i , h 2,i = k i · λ, wherein k i is a proportional coefficient for each region; defining the mesh transition size between the key area and the non-key area as h3; And according to the division of h1, h 2,i And h3 re-do the initial simulation, to determine whether the initial simulation results meet the accuracy requirements.

4. The dual mesh partitioning method suitable for transformer windings as claimed in claim 3 wherein, The step of judging whether the preliminary simulation result meets the accuracy requirement comprises the following steps:

5. The method of claim 4, wherein the dual mesh refinement is applied to a transformer winding, and wherein the first mesh is a coarse mesh and the second mesh is a fine mesh. presetting a first meshing strategy objective function and a first constraint condition, and judging whether the preliminary simulation result meets the accuracy requirement according to the value of the first meshing strategy objective function under the first constraint condition. The second meshing strategy comprises the following steps: obtaining the preliminary simulation result of the winding of the target transformer after the first meshing operation, and obtaining the second key area; The second key region is divided into several sub-regions, and the grid size of each sub-region is h 5,j , h 5,j =k j ·λ, wherein k j is a proportional coefficient for each region.

6. The dual mesh partitioning method suitable for transformer windings as claimed in claim 5 wherein, selecting a mesh size h4 for the cross section, h4 = h1 / n, n representing a refinement factor; The second meshing strategy further comprises the following steps: And according to the divided h1, h 2,i , h3, h4, h 5,j And h6 re-simulates, judges whether the simulation result satisfies the precision demand.

7. The dual mesh partitioning method suitable for transformer windings as claimed in claim 6 wherein, defining the mesh transition size between the key area and the non-key area as h6; 8. A double-mesh partitioning system suitable for use in transformer windings, characterized by, The second meshing strategy further comprises the following steps: 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. The method comprises the following steps: a first meshing module for obtaining the working frequency of the target transformer, and performing a first meshing operation on the winding of the target transformer according to the working frequency and a first meshing strategy; 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. a second meshing module for performing a second meshing operation on the winding of the target transformer after the first meshing operation according to a second meshing strategy; 10. A computer-readable storage medium having stored thereon a computer program, characterized in that, a third meshing module for obtaining the mesh size of the winding of the target transformer after the second meshing operation, and completing the meshing of the target transformer according to the mesh size. The processor executes the computer program to realize the steps of the method in any one of claims 1 to 7. The computer program is executed by the processor to realize the steps of the method in any one of claims 1 to 7.

Images