Electromagnetic full-topology optimization method and system for guaranteeing power supply equipment

Abstract

The invention relates to the technical field of electromagnetic topological optimization, and provides an electromagnetic full-topological optimization method and system for power supply protection equipment, and the method comprises the steps: building a structure model, marking electromagnetic elements and non-electromagnetic elements, building a conduction formula through the information, such as the intensity of a source electric field, the intensity of a source magnetic field, a conduction range, a conduction path, and the like; the distribution conditions of the electric field and the magnetic field are accurately described. Then, the electric field intensity and the magnetic field intensity of any target position on the structure model are calculated based on the conduction formula, then the energy consumption density and the heat level are evaluated, and a to-be-optimized area with too high energy consumption and concentrated heat is recognized. And adjusting electromagnetic parameters of the areas through a preset optimization rule, and continuously calculating and adjusting by adopting an iterative algorithm until an energy efficiency improvement target and a heat limit threshold are reached. The electromagnetic topological structure in the power supply equipment is accurately positioned and optimized, the energy efficiency is improved, the heat is reduced, the optimized specific position and corresponding parameters are finally output, and the equipment performance is optimized and improved.

Description

Technical Field

[0001] The present application relates to the technical field of electromagnetic topology optimization, and in particular to an electromagnetic full topology optimization method and system for power supply equipment. Background Art

[0002] The contents of this section merely provide background information related to the present application and may not constitute prior art.

[0003] As smart grid technology is changing with each passing day, intelligent management of power systems has become a key path for the transformation and upgrading of the industry. Smart grid distribution systems, through deep integration of cutting-edge technologies such as the Internet of Things, artificial intelligence, and big data analysis, have achieved efficient interconnection and intelligent management of power loads, power supply facilities, and monitoring equipment. This transformation has not only improved energy supply efficiency and grid operation quality, but also enhanced system reliability and security.

[0004] Under the framework of smart grid, the electromagnetic topology is the core of the connection relationship between various circuits and equipment in the power system, and its optimization is crucial to improving the overall performance of the power system. On the one hand, the smart grid uses real-time monitoring and analysis technology to quickly locate the fault point, and realizes rapid recovery of the fault through automated control strategies to ensure the stable operation of the power grid; on the other hand, by adjusting the current, voltage and other parameters in the electromagnetic topology, the operating efficiency of power equipment can be optimized, energy consumption and heat generation can be reduced, and the life of equipment can be extended.

[0005] However, existing technologies still face many challenges in practical applications. First, locating specific problem points in the electromagnetic topology structure requires sensors located there, which requires the installation of a large number of sensors in the power grid, and the positioning accuracy error is relatively high. Secondly, it is impossible to perform adaptive optimization based on the parameters of existing equipment, making it difficult to adjust the parameters of the electromagnetic topology structure to the optimal state. Therefore, a method and system for electromagnetic full topology optimization of power supply equipment is needed. Summary of the invention

[0006] In order to solve the above technical problems, the purpose of this application is to provide an electromagnetic full topology optimization method and system for power supply equipment, which can achieve accurate positioning and optimize the electromagnetic topology structure in the power supply equipment, improve energy efficiency and reduce heat.

[0007] The purpose of this application is achieved through the following technical solutions:

[0008] In a first aspect, the present invention provides an electromagnetic full topology optimization method for power supply equipment, comprising:

[0009] Based on the structure of the power supply equipment, a corresponding structural model is established, and the positions of electromagnetic components on the structural model are marked as nodes; non-electromagnetic components are marked as conductive media and the range and electromagnetic properties of each conductive medium are recorded;

[0010] A conduction formula is established based on the source electric field strength, source magnetic field strength, conduction range and conduction path of each node. The conduction formula is used to describe the electric field strength and magnetic field strength of any point within the electric field and magnetic field coverage range of each node; wherein the source electric field strength and source magnetic field strength of each node are determined by the current and voltage of each electromagnetic element; the conduction range of each node is determined by the source electric field strength and source magnetic field strength; the conduction path of each node is determined by the range and electromagnetic properties of the conduction medium, and the conduction path includes the location information that the electric field and magnetic field can reach;

[0011] Based on the conduction formula, the target electric field strength and target magnetic field strength of any target position on the structural model are obtained. According to the target electric field strength, target magnetic field strength and the parameters of the medium at the target position, the energy consumption density and heat level are calculated, and the area where the energy consumption density exceeds the threshold and the heat is concentrated is identified as the area to be optimized;

[0012] Adjusting electromagnetic parameters of the area to be optimized according to preset optimization rules, the electromagnetic parameters including the number of coil turns, material type or position relationship;

[0013] An iterative algorithm is used to repeatedly calculate the energy consumption and heat level of the adjusted electromagnetic full topology model, and the electromagnetic parameters are further adjusted according to the optimization results until the preset energy efficiency improvement target and heat limit threshold are reached; the specific optimized position and the corresponding optimization parameters of the position are output on the structural model.

[0014] Furthermore, the method further comprises:

[0015] When querying the energy density and heat level at any point, query the conduction range of all nodes and select the target node that covers the point;

[0016] Based on the conduction formula, the target electric field strength and target magnetic field strength at the point position are obtained, and the energy consumption density and heat level are calculated according to the target electric field strength, target magnetic field strength and the parameters of the medium at the point position.

[0017] Furthermore, the conduction formula is:

[0018]

[0019]

[0020] Among them, E (x，y，z) is the electric field strength at the point (x, y, z), ∈ iis the permittivity of the i-th conducting medium, n is the total number of electromagnetic components, V i is the voltage of the i-th electromagnetic element, d i is the characteristic length of the i-th electromagnetic element, r i is the distance from the ith electromagnetic element to the point (x, y, z), is the unit vector of the i-th electromagnetic element pointing to the point (x, y, z); B (x，y，z) is the magnetic field strength at the point (x, y, z), m is the total number of electromagnetic elements; μ0 is the magnetic permeability of vacuum; μ j is the relative magnetic permeability of the jth conducting medium; I j is the current intensity of the jth electromagnetic element; r j is the distance from the jth electromagnetic element to the point (x, y, z), is a unit vector perpendicular to the direction from the jth electromagnetic element to the point (x, y, z).

[0021] Furthermore, the step of marking the positions of the electromagnetic elements on the structural model as nodes specifically includes:

[0022] The shape of each component in the structural model is compared with the electromagnetic component library, and the components with similarity exceeding a threshold are identified as electromagnetic components of the corresponding type, and the electromagnetic components are marked as nodes.

[0023] Furthermore, the optimization rules include:

[0024] If the area to be optimized is an area where the energy consumption density exceeds the threshold and the heat is concentrated, check the number of coil turns in this area. If the number of coil turns is too high, resulting in excessive energy consumption, reduce the number of coil turns; if the number of coil turns is moderate but the energy consumption is still high, change the material type;

[0025] If the energy consumption density still exceeds the threshold value or the heat level is still too high after changing the material type, adjust the position relationship of the electromagnetic components, including but not limited to adjusting the relative distance, angle or arrangement between the electromagnetic components to reduce electromagnetic interference and energy loss, and disperse the heat concentration points.

[0026] Furthermore, the optimization rules also include:

[0027] When adjusting the relative distance, angle or arrangement between electromagnetic components, use electromagnetic simulation software to simulate the energy density and heat level under different positional relationships, and select the solution whose energy density and heat level meet the preset requirements.

[0028] Furthermore, after outputting the optimized specific position and the optimization parameters corresponding to the position on the structural model, the method further includes:

[0029] Display optimization results in a graphical way;

[0030] An interactive interface is set up to allow users to view comparison charts before and after optimization, and change curves of energy consumption density and heat level.

[0031] In a second aspect, the present invention provides an electromagnetic full topology optimization system for power supply equipment, comprising:

[0032] The front module establishes a corresponding structural model based on the structure of the power supply equipment, marks the positions of electromagnetic components on the structural model as nodes, marks non-electromagnetic components as conductive media and records the range and electromagnetic properties of each conductive medium;

[0033] A conduction formula establishment module is used to establish a conduction formula according to the source electric field strength, source magnetic field strength, conduction range and conduction path of each node. The conduction formula is used to describe the electric field strength and magnetic field strength of any point within the electric field and magnetic field coverage range of each node; wherein the source electric field strength and source magnetic field strength of each node are determined by the current and voltage of each electromagnetic element; the conduction range of each node is determined by the source electric field strength and source magnetic field strength; the conduction path of each node is determined by the range and electromagnetic properties of the conduction medium, and the conduction path includes the location information that the electric field and magnetic field can reach;

[0034] The optimization area identification module obtains the target electric field strength and target magnetic field strength of any target position on the structural model based on the conduction formula, calculates the energy consumption density and heat level according to the target electric field strength, target magnetic field strength and the parameters of the medium where the target position is located, and identifies the area where the energy consumption density exceeds the threshold and the heat is concentrated as the area to be optimized;

[0035] An optimization module, used to adjust the electromagnetic parameters of the area to be optimized according to a preset optimization rule, the electromagnetic parameters including the number of coil turns, material type or position relationship;

[0036] The result module is used to repeatedly calculate the energy consumption and heat level of the adjusted electromagnetic full topology model using an iterative algorithm, and continue to adjust the electromagnetic parameters according to the optimization results until the preset energy efficiency improvement target and heat limit threshold are reached; the specific optimized position and the corresponding optimization parameters of the position are output on the structural model.

[0037] In a third aspect, the present invention provides an electronic device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps corresponding to the method in the first aspect are implemented.

[0038] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps corresponding to the method in the first aspect.

[0039] In summary, the technical solution of the embodiment of the present application has at least the following advantages and beneficial effects:

[0040] By establishing a structural model and marking electromagnetic components and non-electromagnetic components, a conduction formula is constructed using information such as source electric field strength, source magnetic field strength, conduction range, and conduction path to accurately describe the distribution of electric and magnetic fields. Subsequently, the electric field strength and magnetic field strength at any target position on the structural model are calculated based on the conduction formula, and the energy consumption density and heat level are evaluated to identify areas to be optimized where energy consumption is too high and heat is concentrated. The electromagnetic parameters of these areas, such as the number of coil turns, material type, or position relationship, are adjusted through preset optimization rules, and an iterative algorithm is used to continuously calculate and adjust until the energy efficiency improvement target and heat limit threshold are reached. This method can accurately locate and optimize the electromagnetic topology in power supply equipment, effectively improve energy efficiency and reduce heat, and finally output the specific location and corresponding parameters of the optimization to achieve optimization and improvement of equipment performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A flow chart of an electromagnetic full topology optimization method for power supply equipment provided by the present invention;

[0042] Figure 2 A schematic diagram of the structure of an electromagnetic full topology optimization system for power supply equipment provided by the present invention;

[0043] Figure 3 The present invention provides a schematic structural diagram of an electronic device. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0045] An electromagnetic full topology optimization method for power supply equipment proposed in an embodiment of the present application includes:

[0046] Step S101: establish a corresponding structural model based on the structure of the power supply equipment, mark the positions of electromagnetic components on the structural model as nodes; mark non-electromagnetic components as conductive media and record the range and electromagnetic properties of each conductive medium.

[0047] Specifically, step S101 is the starting stage of the electromagnetic full topology optimization method for power supply equipment, and its core is to build a model that accurately reflects the internal structure of the equipment, and clearly distinguish and mark the electromagnetic components and non-electromagnetic components in the model. In detail, this step first creates a corresponding structural model based on the actual physical structure of the power supply equipment using modeling technology (such as CAD or simulation software). In the model, the position of electromagnetic components (such as coils, capacitors, etc.) is accurately marked as a node, that is, the shape of each component in the structural model is compared in the electromagnetic component library, and the components with similarity exceeding the threshold are identified as electromagnetic components of the corresponding type, and the electromagnetic components are marked as nodes. These nodes are the basis for subsequent electromagnetic field analysis. At the same time, non-electromagnetic components (such as insulating materials, heat sinks, etc.) are marked as conductive media, and their specific range (or size) and electromagnetic properties, such as conductivity, magnetic permeability, etc., are recorded. This meticulous classification and marking work provides the necessary basic data for the determination of the subsequent electromagnetic field conduction path, energy consumption and heat calculation.

[0048] For example, a high-voltage transformer is optimized for electromagnetic full topology. In step S101, a three-dimensional structural model of the transformer is first constructed in the simulation software based on the design drawings and actual structure of the transformer. In the model, electromagnetic components such as the transformer coil and iron core are accurately marked as nodes, while non-electromagnetic components such as insulating oil and insulating cardboard between windings are marked as conductive media, and their key properties such as conductivity and magnetic permeability are recorded.

[0049] Step S102, establishing a conduction formula according to the source electric field strength, source magnetic field strength, conduction range and conduction path of each node, the conduction formula is used to describe the electric field strength and magnetic field strength of any point within the electric field and magnetic field coverage range of each node; wherein the source electric field strength and source magnetic field strength of each node are determined by the current and voltage of each electromagnetic element; the conduction range of each node is determined by the source electric field strength and source magnetic field strength; the conduction path of each node is determined by the range and electromagnetic properties of the conduction medium, and the conduction path includes the location information that the electric field and magnetic field can reach.

[0050] Specifically, step S102 further deepens the understanding of the electromagnetic field conduction characteristics based on the structural model established in step S101 and the marked nodes and conduction medium information. In this step, the source electric field strength and source magnetic field strength of each electromagnetic element (i.e., node) are first determined based on the current and voltage of each electromagnetic element (i.e., node), which are the basic data for electromagnetic field analysis. As the source of the electromagnetic field, current and voltage directly determine the strength and distribution of the electromagnetic field.

[0051] Next, the conduction range of each node is determined based on the source electric field strength and source magnetic field strength. The conduction range refers to the area that the electric field and magnetic field can cover, which determines the influence boundary of the electromagnetic field. This step takes into account the attenuation characteristics of the electromagnetic field, that is, as the distance increases, the strength of the electric field and magnetic field will gradually weaken until it reaches a negligible level.

[0052] At the same time, the conduction path of each node is also determined in this step. The conduction path refers to the path along which the electric field and magnetic field can be conducted, which is affected by the range and electromagnetic properties of the conducting medium. For example, a medium with high conductivity or high magnetic permeability can conduct electric and magnetic fields more effectively, while an insulating medium hinders the conduction of electromagnetic fields. Therefore, determining the conduction path requires comprehensive consideration of the physical properties and spatial distribution of the conducting medium. Finally, the establishment of the conduction formula integrates the above information to describe the electric field strength and magnetic field strength at any point within the coverage range of the electric field and magnetic field of each node. This formula is the basis for the subsequent calculation of energy consumption density and heat level, and is also an important basis for optimizing the electromagnetic topology.

[0053] The conduction formula is obtained through the following process:

[0054] Described by Gauss's law, for the case of passing through multiple media, the following formula can be used:

[0055]

[0056] Among them, Q i is the equivalent charge of the i-th electromagnetic element; r i is the distance from the i-th electromagnetic element to the point (x, y, z).

[0057] The source electric field strength E of each electromagnetic element S It can be determined by its voltage V and the characteristic length d of the electromagnetic element. Assuming that the electromagnetic element is linear, its electric field strength can be expressed as:

[0058]

[0059] Combining formulas (1) and (2), we get:

[0060]

[0061] Similarly, the source magnetic field strength can be expressed as:

[0062]

[0063] Where d is the characteristic length of the electromagnetic element, is a unit vector perpendicular to the direction of the electromagnetic element.

[0064] The magnetic permeability of each conducting medium may be different, so the magnetic field strength will change when passing through different media. The propagation of magnetic field strength in the medium can be expressed as:

[0065]

[0066] Combining formulas (4) and (5), we get:

[0067]

[0068] Therefore, combining formula (3) and (6), the conduction formula is:

[0069]

[0070] Among them, E (x，y，z) is the electric field strength at the point (x, y, z), ∈ i is the permittivity of the i-th conducting medium, n is the total number of electromagnetic components, V i is the voltage of the i-th electromagnetic element, d i is the characteristic length of the i-th electromagnetic element, r i is the distance from the ith electromagnetic element to the point (x, y, z), is the unit vector of the i-th electromagnetic element pointing to the point (x, y, z); B (x，y，z) is the magnetic field strength at the point (x, y, z), m is the total number of electromagnetic elements; μ0 is the magnetic permeability of vacuum; μ j is the relative magnetic permeability of the jth conducting medium; I j is the current intensity of the jth electromagnetic element; r j is the distance from the jth electromagnetic element to the point (x, y, z), is a unit vector perpendicular to the direction from the jth electromagnetic element to the point (x, y, z).

[0071] Step S103, based on the conduction formula, obtain the target electric field strength and target magnetic field strength of any target position on the structural model, calculate the energy consumption density and heat level according to the target electric field strength, target magnetic field strength and the parameters of the medium at the target position, and identify the area where the energy consumption density exceeds the threshold and the heat is concentrated as the area to be optimized.

[0072] Step S103 further analyzes and determines the energy density and heat level in the structural model based on the conduction formula established in the previous step, thereby identifying potential optimization areas. Specifically, this step first uses the conduction formula to calculate the target electric field strength and target magnetic field strength at any target position on the model based on the source electric field strength and source magnetic field strength of each node in the structural model and the electromagnetic properties of the conductive medium. Then, based on the target electric field strength, target magnetic field strength and the parameters of the medium at the target position, the energy density and heat level are calculated. The calculation formula is as follows:

[0073] Electric field energy density W E for:

[0074]

[0075] Where ∈ is the dielectric constant of the medium.

[0076] Magnetic field energy density W B for:

[0077]

[0078] Where μ is the magnetic permeability of the medium.

[0079] The heat level Q is:

[0080] Q = η(W E +W B ) (11)

[0081] Wherein, η is the energy conversion efficiency.

[0082] The energy density reflects the energy loss generated when the electromagnetic field is conducted in the conducting medium, while the heat level reflects the thermal effect generated by the accumulation of these energy losses in the medium. By comparing the energy density and heat level with the preset thresholds, it is possible to identify areas where the energy density exceeds the threshold and the heat is concentrated. These areas are often parts of the electromagnetic topology with unreasonable design or inefficient conduction, that is, areas to be optimized.

[0083] Step S104, adjusting the electromagnetic parameters of the area to be optimized according to a preset optimization rule, the electromagnetic parameters including the number of coil turns, material type or position relationship.

[0084] Specifically, the core of step S104 is to adjust the electromagnetic parameters of the areas to be optimized according to the preset optimization rules based on the areas to be optimized identified in the previous steps, so as to achieve the purpose of reducing energy consumption density, reducing heat accumulation and optimizing the electromagnetic topology structure. The specific principles and effects of this step can be explained from the following aspects:

[0085] First of all, for the area to be optimized where the energy consumption density exceeds the threshold and the heat is concentrated, the first thing to check is the number of coil turns in this area. The number of coil turns is one of the important factors affecting the electromagnetic field strength and energy consumption. If the number of coil turns is too high, it will lead to enhanced electromagnetic induction, which will result in excessive energy consumption. In this case, by reducing the number of coil turns, the electromagnetic induction intensity can be effectively reduced, energy consumption can be reduced, and the problem of heat concentration can be alleviated. However, if the number of coil turns is moderate but the energy consumption is still too high, then it is necessary to consider changing the material type. Different materials have different electromagnetic properties, such as conductivity, magnetic permeability, etc. These properties directly affect the conduction efficiency and energy consumption level of the electromagnetic field. Therefore, choosing materials with lower energy consumption characteristics is an effective way to further reduce energy consumption.

[0086] Secondly, if the energy density still exceeds the threshold after changing the material type, or the heat level is still too high, then the positional relationship of the electromagnetic components needs to be adjusted. This includes adjusting the relative distance, angle or arrangement between the electromagnetic components. The positional relationship of the electromagnetic components has an important influence on the distribution and conduction path of the electromagnetic field. By adjusting the positional relationship, the conduction path of the electromagnetic field can be changed, electromagnetic interference and energy loss can be reduced, and heat concentration points can be dispersed, thereby achieving the purpose of optimizing the electromagnetic topology.

[0087] In the process of adjusting the position relationship of electromagnetic components, electromagnetic simulation software is used to perform simulation analysis in order to ensure the effectiveness and accuracy of the optimization plan. By simulating the energy density and heat level under different position relationships, the advantages and disadvantages of various plans are intuitively compared, and the best plan with energy density and heat level that meet the preset requirements is selected. This method not only improves the efficiency and accuracy of the optimization process, but also greatly reduces the cost and risk of actual trial production and adjustment.

[0088] Step S105, using an iterative algorithm, repeatedly calculates the energy consumption and heat level of the adjusted electromagnetic full topology model, and continues to adjust the electromagnetic parameters according to the optimization results until the preset energy efficiency improvement target and heat limit threshold are reached; outputs the specific optimized position and the optimization parameters corresponding to the position on the structural model.

[0089] Specifically, the iterative algorithm first reconstructs the electromagnetic full topology model based on the electromagnetic parameters adjusted in step S104. Then, the energy consumption and heat level of the new model are evaluated using the conduction formula and the calculation method of energy density and heat level. This evaluation process is similar to step S103, but the difference is that step S105 is performed in continuous iterations, and each iteration will fine-tune the electromagnetic parameters according to the previous optimization results in order to obtain better energy efficiency and heat performance.

[0090] During the iteration process, if it is found that the energy consumption density or heat level of the current model still exceeds the preset threshold, or fails to achieve the goal of improving energy efficiency, then it is necessary to continue to adjust the electromagnetic parameters based on the feedback provided by the iterative algorithm. This adjustment may involve fine-tuning the number of coil turns, changing the material type, or further optimizing the position relationship of the electromagnetic components. Through continuous trial and error and adjustment, the optimal electromagnetic topology is gradually approached. The advantage of the iterative algorithm is that it can efficiently handle complex optimization problems and find the best solution that meets the preset conditions through continuous approximation and fine-tuning. In the process of electromagnetic full topology optimization of power supply equipment, the application of iterative algorithms not only improves the accuracy and efficiency of optimization, but also ensures the reliability of the optimization results.

[0091] Finally, when the iterative algorithm converges, that is, when the energy density and heat level of the model reach the preset energy efficiency improvement target and heat limit threshold, the iterative process ends. At this time, the specific location of the optimization and the corresponding optimization parameters of the location are output on the structural model, which is the final optimization result. This result not only provides a scientific optimization solution for the electromagnetic topology structure of the power supply equipment, but also provides an important reference for subsequent manufacturing and testing work.

[0092] Furthermore, the above method is mainly aimed at global optimization, and if the position of a certain point needs to be queried, the following method is adopted: when querying the energy consumption density and heat level of any point position, query the conduction range of all nodes and select the target node covering the point position; based on the conduction formula, obtain the target electric field strength and target magnetic field strength of the point position, and calculate the energy consumption density and heat level according to the target electric field strength, target magnetic field strength and the parameters of the medium where the point position is located.

[0093] Based on the original electromagnetic full topology optimization method of power supply equipment, a refinement and enhancement of the query and calculation process of energy density and heat level is made. The core is that when it is necessary to query the energy density and heat level of any point in the structure, it is no longer just dependent on the nodes or conductive media directly associated with the point, but the node is found in the opposite direction. Specifically, the conduction range of all nodes is queried first. This step is an extended application of the determination of the conduction range in the original method. When constructing the electromagnetic full topology model, the conduction range of each node (i.e., electromagnetic element) has been determined based on the source electric field strength and source magnetic field strength. These ranges define the area that the electric field and magnetic field can cover. When it is necessary to query the energy density and heat level of a certain point, the conduction range of all nodes is traversed to find the "target nodes" that can cover the point. These target nodes are key factors that directly affect the electromagnetic field distribution and energy density at the point.

[0094] Once the target node is determined, the target electric field strength and target magnetic field strength at the point are calculated based on the conduction formula. This calculation process utilizes the electromagnetic field conduction characteristics described in the conduction formula, as well as the source electric field strength and source magnetic field strength of the target node itself. Finally, based on the calculated target electric field strength, target magnetic field strength and medium parameters, the energy density and heat level at the point can be obtained using the calculation formula for energy density and heat level. This process not only improves the accuracy of energy density and heat level queries, but also enables more accurate positioning of areas with high energy consumption and concentrated heat during the optimization process, providing more reliable data support for subsequent electromagnetic parameter adjustment and optimization.

[0095] Furthermore, after outputting the specific optimized position and the corresponding optimization parameters on the structural model, it also includes: displaying the optimization results in a graphical manner; setting up an interactive interface to allow users to view the comparison chart before and after optimization, the energy consumption density and the change curve of the heat level. It improves the convenience for the staff to observe the optimization process and result parameters of the power supply equipment.

[0096] Based on the same inventive concept, the present invention provides an electromagnetic full topology optimization system for power supply equipment, including:

[0097] The front module 201 establishes a corresponding structural model based on the structure of the power supply equipment, marks the positions of the electromagnetic components on the structural model as nodes; marks the non-electromagnetic components as conductive media and records the range and electromagnetic properties of each conductive medium;

[0098] The conduction formula establishment module 202 is used to establish a conduction formula according to the source electric field strength, source magnetic field strength, conduction range and conduction path of each node, and the conduction formula is used to describe the electric field strength and magnetic field strength of any point within the electric field and magnetic field coverage range of each node; wherein the source electric field strength and source magnetic field strength of each node are determined by the current and voltage of each electromagnetic element; the conduction range of each node is determined by the source electric field strength and source magnetic field strength; the conduction path of each node is determined by the range and electromagnetic properties of the conduction medium, and the conduction path includes the position information that the electric field and magnetic field can reach;

[0099] The optimization region identification module 203 obtains the target electric field strength and target magnetic field strength of any target position on the structural model based on the conduction formula, calculates the energy consumption density and the heat level according to the target electric field strength, the target magnetic field strength and the parameters of the medium at the target position, and identifies the region where the energy consumption density exceeds the threshold and the heat is concentrated as the region to be optimized;

[0100] An optimization module 204 is used to adjust the electromagnetic parameters of the area to be optimized according to a preset optimization rule, where the electromagnetic parameters include the number of coil turns, material type or position relationship;

[0101] The result module 205 is used to repeatedly calculate the energy consumption and heat level of the adjusted electromagnetic full topology model using an iterative algorithm, and continue to adjust the electromagnetic parameters according to the optimization results until the preset energy efficiency improvement target and heat limit threshold are reached; and output the specific optimized position and the optimization parameters corresponding to the position on the structural model.

[0102] Based on the same inventive concept, the present invention provides an electronic device, including: a memory 302, a processor 301, and a computer program stored in the memory 302 and executable on the processor. When the processor 301 executes the computer program, an electromagnetic full topology optimization method for power supply equipment is implemented.

[0103] Based on the same inventive concept, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements an electromagnetic full topology optimization method for power supply equipment.

[0104] The above are only preferred embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. An electromagnetic full topology optimization method for power supply equipment, characterized in that: include: Establishing a corresponding structural model based on the structure of the power supply equipment, and marking the positions of electromagnetic components on the structural model as nodes; Label the non-electromagnetic components as conductive media and record the range and electromagnetic properties of each conductive media; A conduction formula is established according to the source electric field strength, source magnetic field strength, conduction range and conduction path of each node, wherein the conduction formula is used to describe the electric field strength and magnetic field strength of any point within the electric field and magnetic field coverage range of each node; wherein the source electric field strength and source magnetic field strength of each node are determined by the current and voltage of each electromagnetic element; the conduction range of each node is determined by the source electric field strength and source magnetic field strength; the conduction path of each node is determined by the range and electromagnetic properties of the conduction medium, and the conduction path includes the position information that the electric field and the magnetic field can reach; Based on the conduction formula, the target electric field strength and the target magnetic field strength of any target position on the structural model are obtained, and the energy consumption density and the heat level are calculated according to the target electric field strength, the target magnetic field strength and the parameters of the medium at the target position, and the area where the energy consumption density exceeds the threshold and the heat is concentrated is identified as the area to be optimized; Adjusting the electromagnetic parameters of the area to be optimized according to a preset optimization rule, wherein the electromagnetic parameters include the number of coil turns, material type or position relationship; An iterative algorithm is used to repeatedly calculate the energy consumption and heat level of the adjusted electromagnetic full topology model, and the electromagnetic parameters are further adjusted according to the optimization results until the preset energy efficiency improvement target and heat limit threshold are reached; the specific optimized position and the optimization parameters corresponding to the position are output on the structural model.

2. The electromagnetic full topology optimization method according to claim 1, characterized in that: The method further comprises: When querying the energy density and heat level of any point, query the conduction range of all nodes and select the target node covering the point; Based on the conduction formula, the target electric field strength and the target magnetic field strength at the point position are obtained, and the energy consumption density and the heat level are calculated according to the target electric field strength, the target magnetic field strength and the parameters of the medium at the point position.

3. The electromagnetic full topology optimization method according to claim 1, characterized in that: The conduction formula is: Among them, E (x,y,z) is the electric field strength at the point (x, y, z), ∈ i is the permittivity of the i-th conducting medium, n is the total number of electromagnetic components, V i is the voltage of the i-th electromagnetic element, d i is the characteristic length of the i-th electromagnetic element, r i is the distance from the ith electromagnetic element to the point (x, y, z), is the unit vector of the i-th electromagnetic element pointing to the point (x, y, z); B (x,y,z) is the magnetic field strength at the point (x, y, z), m is the total number of electromagnetic elements; μ0 is the magnetic permeability of vacuum; μ j is the relative magnetic permeability of the jth conducting medium; I j is the current intensity of the jth electromagnetic element; r j is the distance from the jth electromagnetic element to the point (x, y, z), is a unit vector perpendicular to the direction from the jth electromagnetic element to the point (x, y, z).

4. The electromagnetic full topology optimization method according to claim 1, characterized in that: The step of marking the positions of the electromagnetic elements on the structural model as nodes specifically comprises: The shape of each component in the structural model is compared in the electromagnetic component library, and components with similarity exceeding a threshold are identified as electromagnetic components of corresponding types, and the electromagnetic components are marked as nodes.

5. The electromagnetic full topology optimization method according to claim 1, characterized in that: The optimization rules include: If the area to be optimized is an area where the energy consumption density exceeds the threshold and the heat is concentrated, check the number of coil turns in this area. If the number of coil turns is too high, resulting in excessive energy consumption, reduce the number of coil turns; if the number of coil turns is moderate but the energy consumption is still high, change the material type; If the energy consumption density still exceeds the threshold value or the heat level is still too high after changing the material type, adjust the position relationship of the electromagnetic components, including but not limited to adjusting the relative distance, angle or arrangement between the electromagnetic components to reduce electromagnetic interference and energy loss, and disperse the heat concentration points.

6. The electromagnetic full topology optimization method according to claim 5, characterized in that: The optimization rules also include: When adjusting the relative distance, angle or arrangement between electromagnetic components, use electromagnetic simulation software to simulate the energy density and heat level under different positional relationships, and select the solution whose energy density and heat level meet the preset requirements.

7. The electromagnetic full topology optimization method according to claim 1, characterized in that: After outputting the optimized specific position and the optimization parameters corresponding to the position on the structural model, the method further includes: Display optimization results in a graphical way; An interactive interface is set up to allow users to view comparison charts before and after optimization, and change curves of energy consumption density and heat level.

8. An electromagnetic full topology optimization system for power supply equipment, characterized in that: include: The front module establishes a corresponding structural model based on the structure of the power supply equipment, and marks the positions of the electromagnetic components on the structural model as nodes; Label the non-electromagnetic components as conductive media and record the range and electromagnetic properties of each conductive media; A conduction formula establishment module is used to establish a conduction formula according to the source electric field strength, source magnetic field strength, conduction range and conduction path of each node, wherein the conduction formula is used to describe the electric field strength and magnetic field strength of any point within the electric field and magnetic field coverage range of each node; wherein the source electric field strength and source magnetic field strength of each node are determined by the current and voltage of each electromagnetic element; the conduction range of each node is determined by the source electric field strength and source magnetic field strength; the conduction path of each node is determined by the range and electromagnetic properties of the conduction medium, and the conduction path includes the position information that the electric field and magnetic field can reach; An optimization region identification module obtains the target electric field strength and the target magnetic field strength of any target position on the structural model based on the conduction formula, calculates the energy consumption density and the heat level according to the target electric field strength, the target magnetic field strength and the parameters of the medium at the target position, and identifies the region where the energy consumption density exceeds the threshold and the heat is concentrated as the region to be optimized; An optimization module, used for adjusting the electromagnetic parameters of the area to be optimized according to a preset optimization rule, wherein the electromagnetic parameters include the number of coil turns, material type or position relationship; The result module is used to repeatedly calculate the energy consumption and heat level of the adjusted electromagnetic full topology model using an iterative algorithm, and continue to adjust the electromagnetic parameters according to the optimization results until the preset energy efficiency improvement target and heat limit threshold are reached; and output the specific optimized position and the optimization parameters corresponding to the position on the structural model.

9. An electronic device, characterized in that: The electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps corresponding to the method according to any one of claims 1 to 7 when executing the computer program.

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

Images