A wireless power transfer system topology optimization method and related apparatus

Abstract

The application discloses a wireless power transmission system topology optimization method and related device, comprising: selecting a main characteristic mode from the plurality of orthogonal characteristic modes; establishing a material field description model based on series expansion, reconstructing the material distribution of the physical space as a linear combination of the dominant characteristic modes, and taking the weighting coefficients corresponding to each dominant characteristic mode as optimization variables; constructing a multi-objective function; solving the multi-objective function, iteratively solving the weighting coefficients, determining the final material properties of each finite element unit according to the material field function value after optimization convergence through a binary mapping rule, and generating a continuous and smooth magnetic core topology structure according to the final material properties of each finite element unit. The method and related device can optimize the topology of the wireless power transmission system, and can solve the problems of low calculation efficiency, discontinuous results and difficulty in manufacturing.

Description

Technical Field

[0001] This invention belongs to the field of wireless power transmission technology, and relates to a method and related apparatus for topology optimization of wireless power transmission systems. Background Technology

[0002] Wireless power transfer technologies rely on magnetic cores to guide magnetic flux and enhance coupling coefficients. However, core design often faces a trade-off between performance and weight. Traditional topology optimization methods (such as SIMP) typically treat the density of each mesh cell as an independent variable, leading to a significant computational burden. More seriously, due to the lack of spatial constraints, optimization results are prone to exhibiting a "checkerboard" pattern due to numerical instability, where the material distribution displays discrete black and white noise. This structure is not only physically difficult to manufacture but also causes inaccuracies in electromagnetic field simulations. Existing solutions often require complex filtering techniques or post-processing smoothing steps, increasing design complexity and making it difficult to guarantee optimality. Therefore, an innovative optimization framework is urgently needed that can simultaneously address the problems of low computational efficiency, discontinuous results, and difficulty in manufacturing. Summary of the Invention

[0003] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method and related apparatus for optimizing the topology of a wireless power transmission system. This method and apparatus can optimize the topology of a wireless power transmission system and solve the problems of low computational efficiency, discontinuous results, and difficulty in manufacturing.

[0004] To achieve the above objectives, this invention discloses a topology optimization method for a wireless power transmission system, comprising: Determine the core design region of the wireless power transmission system and discretize the core design region into several finite element units; Construct a global correlation matrix to describe the spatial dependencies of each finite element element; Eigenvalue decomposition analysis is performed on the global correlation matrix to extract several orthogonal eigenmodes and their corresponding energy weights; Select the principal feature mode from the plurality of orthogonal feature modes; A material field description model based on series expansion is established, which reconstructs the material distribution in physical space as a linear combination of the dominant characteristic modes, and uses the weighting coefficients corresponding to each dominant characteristic mode as optimization variables. Construct a multi-objective function; The multi-objective function is solved by iteratively solving the weighting coefficients. Based on the optimized converged material field function value, the final material properties of each finite element are determined by the binarization mapping rule. A continuous and smooth magnetic core topology is generated based on the final material properties of each finite element.

[0005] Furthermore, in the process of constructing the global correlation matrix to describe the spatial dependencies of each finite element element, the physical correlation between finite element elements is quantified by a smoothing kernel function.

[0006] Furthermore, the process of selecting the principal feature mode from the plurality of orthogonal feature modes is as follows: The dimensionality reduction strategy based on energy analysis sets a truncation criterion according to the energy weight of the characteristic modes, and selects the principal characteristic mode from the several orthogonal characteristic modes according to the truncation criterion.

[0007] Furthermore, the material field description model is used to transform the optimization object into a weight vector in the feature mode space.

[0008] Furthermore, the objective function introduces a lightweight penalty term while pursuing the maximization of electromagnetic performance through a weighted summation method.

[0009] Furthermore, a global optimization algorithm is used to solve the multi-objective function.

[0010] Furthermore, the binarization mapping rule is as follows: when the reconstructed material field function value meets the preset interval condition, it is determined that the position is filled with magnetic material; otherwise, it is determined that the position is the background medium.

[0011] This invention discloses a topology optimization system for a wireless power transmission system, comprising: A discrete module is used to determine the core design region of the wireless power transmission system and discretize the core design region into several finite element units. The description module is used to construct a global correlation matrix that describes the spatial dependencies of each finite element. The extraction module is used to perform eigenvalue decomposition analysis on the global correlation matrix and extract several orthogonal eigenmodes and their corresponding energy weights. The selection module is used to select the dominant feature mode from the plurality of orthogonal feature modes; The combination module is used to establish a material field description model based on series expansion, reconstruct the material distribution in physical space into a linear combination of the dominant characteristic modes, and use the weighting coefficients corresponding to each dominant characteristic mode as optimization variables; Builder modules are used to construct multi-objective functions; The solution module is used to solve the multi-objective function, iteratively solve the weighting coefficients, determine the final material properties of each finite element element through a binarization mapping rule based on the optimized converged material field function value, and generate a continuous and smooth magnetic core topology based on the final material properties of each finite element element.

[0012] The present invention discloses a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the wireless power transmission system topology optimization method.

[0013] The present invention discloses a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the wireless power transmission system topology optimization method.

[0014] The present invention has the following beneficial effects: The wireless power transmission system topology optimization method and related apparatus described in this invention reconstruct the material distribution in physical space as a linear combination of the dominant characteristic modes. The weighted coefficients corresponding to each dominant characteristic mode are used as optimization variables, and an evolutionary algorithm is employed to search within the coefficient space. Compared to traditional designs, this significantly reduces volume and produces a smooth, continuous surface without the need for subsequent processing or correction. Furthermore, this invention selects the dominant characteristic modes from several orthogonal characteristic modes, compressing the number of design variables from tens of thousands (grid number) to dozens (dominant characteristic modes), achieving a qualitative leap in computational efficiency. Ultimately, this optimizes the topology of the wireless power transmission system, demonstrating strong practicality. Attached Figure Description

[0015] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of a spatial correlation model; Figure 2 This is a flowchart of the method of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] In the description of this invention, it should be understood that the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0019] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0020] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes such combinations. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Additionally, the character " / " in this invention generally indicates that the preceding and following objects have an "or" relationship.

[0021] It should be understood that although terms such as first, second, third, etc., may be used in the embodiments of the present invention to describe the preset range, these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from one another. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0022] Depending on the context, the word "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0023] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0024] The accompanying drawings illustrate various structural schematic diagrams according to embodiments disclosed in this invention. These drawings are not to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0025] Example 1 refer to Figure 1 and Figure 2 The wireless power transmission system topology optimization method of the present invention includes the following steps: 1) Determine the core design region of the wireless power transmission system and discretize the core design region into several finite element units; 2) Construct a global correlation matrix to describe the spatial dependencies of each finite element element, where a smoothing kernel function is introduced to quantify the degree of physical correlation between finite element elements; It should be noted that the smoothing kernel function is a function that decays with increasing spatial distance to ensure that the generated topology has inherent geometric continuity, thereby suppressing discrete noise at the mathematical level.

[0026] 3) Perform eigenvalue decomposition analysis on the global correlation matrix to extract several orthogonal eigenmodes and their corresponding energy weights (eigenvalues). It should be noted that the eigenvalue decomposition analysis transforms the high-dimensional design space into an orthogonal subspace spanned by eigenvectors, where the magnitude of the eigenvalue directly characterizes the importance of the corresponding eigenmode in describing the material distribution pattern.

[0027] 4) A dimensionality reduction strategy based on energy analysis is adopted, which sets a truncation criterion according to the energy weight of the feature modes, retains only the dominant feature modes that carry the main topological information, and removes high-frequency noise modes. It should be noted that the truncation rule is as follows: calculate the cumulative contribution rate of the feature values ​​arranged in descending order, and when the cumulative contribution rate reaches the preset energy proportion threshold, then truncate the subsequent small feature values, thereby achieving an order-of-magnitude reduction in the design variable dimension.

[0028] 5) Establish a material field description model based on series expansion, reconstruct the material distribution in physical space as a linear combination of the dominant characteristic modes, and use the weighting coefficients corresponding to each dominant characteristic mode as optimization variables; It should be noted that the material field description model transforms the optimization object into a weight vector in the feature mode space, and uses a small number of low-frequency modes to synthesize complex macroscopic topological structures.

[0029] 6) Construct a multi-objective function, which comprehensively considers the target inductance matching degree, mutual inductance coupling ability, and volume ratio of magnetic material of the system; It should be noted that the objective function, through weighted summation, introduces a lightweight penalty term while pursuing the maximization of electromagnetic performance, in order to achieve Pareto optimality of performance and cost.

[0030] 7) The multi-objective function is solved by a global optimization algorithm, the weighting coefficients are solved iteratively, and the final material properties of each finite element are determined by the binarization mapping rule based on the material field function value after optimization convergence. A continuous and smooth magnetic core topology is generated based on the final material properties of each finite element.

[0031] It should be noted that the binarization mapping rule is as follows: when the reconstructed material field function value meets the preset interval condition, it is determined that the position is filled with magnetic material; otherwise, it is determined that the position is the background medium. The global optimization algorithm adopts a population evolution-based random search strategy, which approaches the optimal solution by adaptively adjusting the search step size.

[0032] It should be noted that the present invention has the following characteristics: This invention performs feature analysis on the correlation matrix, decomposing it into a series of orthogonal eigenmodes. The study reveals that the main contours and low-frequency features of the topology are determined only by a few high-energy modes, while a large number of tail modes correspond only to high-frequency details or numerical noise. Therefore, this invention employs an energy truncation strategy, retaining only the dominant eigenmodes, thereby compressing the number of design variables from tens of thousands (number of grids) to dozens (number of dominant modes), achieving a qualitative leap in computational efficiency.

[0033] This invention is based on modal superposition and topology reconstruction, representing the material distribution as a weighted series sum of modes. The optimization process is transformed into finding a set of optimal weighting coefficients such that the core structure reconstructed from these coefficients satisfies the target inductance and maximizes mutual inductance while using the least amount of ferrite material.

[0034] This invention constructs a spatial correlation model. To ensure that the generated magnetic core is free of checkerboard patterns and easy to process, this embodiment introduces a decay function to control smoothness. This function ensures that physically close units have a high degree of numerical correlation. The matrix generated based on this records the connectivity characteristics of the entire design space.

[0035] This invention performs model dimensionality reduction. By analyzing the eigenvalue distribution of the matrix, a sharp decreasing trend in eigenvalues ​​can be observed, indicating that the vast majority of spatial information energy is concentrated in a few leading modes. This embodiment sets an error tolerance based on energy proportion, for example, retaining more than 99% of the energy information to determine the cutoff point. The truncated low-dimensional space not only retains the geometric degrees of freedom required for design but also automatically filters out high-frequency components that lead to structural coarseness.

[0036] In the optimization phase, this invention constructs the material field function as a linear superposition of modes. The optimization variables are only the combination coefficients of these modes. An evolutionary strategy algorithm searches within the coefficient space, and based on the combined material field numerical distribution, it maps a continuous field to a discrete ferrite / air distribution. The resulting structure not only fully meets the preset self-inductance and mutual inductance indices, but also significantly reduces volume compared to traditional designs, and has a smooth, continuous surface requiring no subsequent processing or correction.

[0037] Example 2 The wireless power transmission system topology optimization system of the present invention includes: A discrete module is used to determine the core design region of the wireless power transmission system and discretize the core design region into several finite element units. The description module is used to construct a global correlation matrix that describes the spatial dependencies of each finite element. The extraction module is used to perform eigenvalue decomposition analysis on the global correlation matrix and extract several orthogonal eigenmodes and their corresponding energy weights. The selection module is used to select the dominant feature mode from the plurality of orthogonal feature modes; The combination module is used to establish a material field description model based on series expansion, reconstruct the material distribution in physical space into a linear combination of the dominant characteristic modes, and use the weighting coefficients corresponding to each dominant characteristic mode as optimization variables; Builder modules are used to construct multi-objective functions; The solution module is used to solve the multi-objective function, iteratively solve the weighting coefficients, determine the final material properties of each finite element unit according to the optimized converged material field function value through the binarization mapping rule, and generate a continuous and smooth magnetic core topology based on the final material properties of each finite element unit.

[0038] The module division in this embodiment is illustrative and represents only one logical functional division. In actual implementation, other division methods may be used. Furthermore, the functional modules in each embodiment of this application can be integrated into a single processor, exist as separate physical entities, or be integrated into a single module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0039] Example 3 A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of a wireless power transmission system topology optimization method. For example, the method includes: determining the core design region of the wireless power transmission system and discretizing the core design region into several finite element units (FEUs); constructing a global correlation matrix to describe the spatial dependencies of each FEU; performing eigenvalue decomposition analysis on the global correlation matrix to extract several orthogonal eigenmodes and their corresponding energy weights; selecting a dominant eigenmode from the several orthogonal eigenmodes; establishing a material field description model based on series expansion, reconstructing the material distribution in physical space as a linear combination of the dominant eigenmodes, and using the weighting coefficients corresponding to each dominant eigenmode as optimization variables; constructing a multi-objective function; solving the multi-objective function, iteratively solving the weighting coefficients, determining the final material properties of each FEU through a binarization mapping rule based on the converged material field function value, and generating a continuous and smooth core topology based on the final material properties of each FEU. The memory may include main memory, such as high-speed random access memory (RAM), or non-volatile memory, such as at least one disk storage device. The processor, network interface, and memory are interconnected via an internal bus, which may be an industry-standard architecture bus, a peripheral component interconnection standard bus, or an extended industry-standard architecture bus. The bus can be categorized as an address bus, data bus, or control bus. The memory stores programs; specifically, the program may include program code, which includes computer operation instructions. The memory may include main memory and non-volatile memory, and provides instructions and data to the processor.

[0040] Example 4 A computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of a wireless power transmission system topology optimization method. For example, the method includes: determining the core design region of the wireless power transmission system and discretizing the core design region into several finite element units (FEUs); constructing a global correlation matrix to describe the spatial dependencies of each FEU; performing eigenvalue decomposition analysis on the global correlation matrix to extract several orthogonal eigenmodes and their corresponding energy weights; selecting a dominant eigenmode from the orthogonal eigenmodes; establishing a material field description model based on series expansion, reconstructing the material distribution in physical space as a linear combination of the dominant eigenmodes, and using the weighting coefficients corresponding to each dominant eigenmode as optimization variables; constructing a multi-objective function; solving the multi-objective function, iteratively solving the weighting coefficients, determining the final material properties of each FEU through a binarization mapping rule based on the converged material field function values, and generating a continuous and smooth core topology based on the final material properties of each FEU. Specifically, the computer-readable storage medium includes, but is not limited to, volatile memory and / or non-volatile memory. The volatile memory may include random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include read-only memory (ROM), hard disk, flash memory, optical disk, magnetic disk, etc.

[0041] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0042] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0043] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0044] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0045] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and disclosure of the invention. This application is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the following claims.

[0046] It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

[0047] The above description is merely a preferred embodiment of the present invention and does not constitute any limitation on the present invention. Any simple modifications, alterations, or equivalent structural changes made to the above embodiments based on the technical essence of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A topology optimization method for a wireless power transmission system, characterized in that, include: Determine the core design region of the wireless power transmission system and discretize the core design region into several finite element units; Construct a global correlation matrix to describe the spatial dependencies of each finite element element; Eigenvalue decomposition analysis is performed on the global correlation matrix to extract several orthogonal eigenmodes and their corresponding energy weights; Select the principal feature mode from the plurality of orthogonal feature modes; A material field description model based on series expansion is established, which reconstructs the material distribution in physical space as a linear combination of the dominant characteristic modes, and uses the weighting coefficients corresponding to each dominant characteristic mode as optimization variables. Construct a multi-objective function; The multi-objective function is solved by iteratively solving the weighting coefficients. Based on the optimized converged material field function value, the final material properties of each finite element are determined by the binarization mapping rule. A continuous and smooth magnetic core topology is generated based on the final material properties of each finite element.

2. The wireless power transmission system topology optimization method according to claim 1, characterized in that, In the process of constructing the global correlation matrix to describe the spatial dependencies of each finite element element, the physical correlation between finite element elements is quantified by a smoothing kernel function.

3. The wireless power transmission system topology optimization method according to claim 1, characterized in that, The process of selecting the principal feature mode from the plurality of orthogonal feature modes is as follows: The dimensionality reduction strategy based on energy analysis sets a truncation criterion according to the energy weight of the characteristic modes, and selects the principal characteristic mode from the several orthogonal characteristic modes according to the truncation criterion.

4. The wireless power transmission system topology optimization method according to claim 1, characterized in that, The material field description model is used to transform the optimization object into a weight vector in the feature mode space.

5. The wireless power transmission system topology optimization method according to claim 1, characterized in that, The objective function, through a weighted summation method, introduces a lightweight penalty term while pursuing the maximization of electromagnetic performance.

6. The wireless power transmission system topology optimization method according to claim 1, characterized in that, The multi-objective function is solved using a global optimization algorithm.

7. The wireless power transmission system topology optimization method according to claim 1, characterized in that, The binarization mapping rule is as follows: when the reconstructed material field function value meets the preset interval condition, it is determined that the position is filled with magnetic material; otherwise, it is determined that the position is the background medium.

8. A topology optimization system for a wireless power transmission system, characterized in that, include: A discrete module is used to determine the core design region of the wireless power transmission system and discretize the core design region into several finite element units. The description module is used to construct a global correlation matrix that describes the spatial dependencies of each finite element. The extraction module is used to perform eigenvalue decomposition analysis on the global correlation matrix and extract several orthogonal eigenmodes and their corresponding energy weights. The selection module is used to select the dominant feature mode from the plurality of orthogonal feature modes; The combination module is used to establish a material field description model based on series expansion, reconstruct the material distribution in physical space into a linear combination of the dominant characteristic modes, and use the weighting coefficients corresponding to each dominant characteristic mode as optimization variables; Builder modules are used to construct multi-objective functions; The solution module is used to solve the multi-objective function, iteratively solve the weighting coefficients, determine the final material properties of each finite element element through a binarization mapping rule based on the optimized converged material field function value, and generate a continuous and smooth magnetic core topology based on the final material properties of each finite element element.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the wireless power transmission system topology optimization method as described in any one of claims 1-7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the wireless power transmission system topology optimization method as described in any one of claims 1-7.

Images