A transformer magnetic core strength analysis method, device, equipment and medium

Abstract

The application provides a transformer magnetic core strength analysis method, device, equipment and medium, and relates to the technical field of transformer analysis, and the method comprises the steps of: S1, constructing an electromagnetic-thermal bidirectional coupling three-dimensional simulation model and a thermal-mechanical unidirectional coupling three-dimensional simulation model according to a three-dimensional geometric model of a transformer; S2, performing bidirectional iteration calculation on the electromagnetic-thermal bidirectional coupling three-dimensional simulation model to obtain transient magnetic flux density component data and steady-state temperature distribution data; S3, performing interpolation according to a magnetostrictive characteristic curve and the transient magnetic flux density component data to obtain magnetostrictive strain component data; S4, inputting the steady-state temperature distribution data and the magnetostrictive strain component data into the thermal-mechanical unidirectional coupling three-dimensional simulation model to perform comprehensive calculation and obtaining magnetic core comprehensive stress distribution data; and S5, analyzing the magnetic core comprehensive stress distribution data to obtain a transformer magnetic core strength analysis result. The application can improve the precision of transformer magnetic core strength analysis.

Description

Technical Field

[0001] This invention relates to the field of transformer analysis technology, and more specifically, to a method, apparatus, equipment, and medium for analyzing the magnetic core strength of a transformer. Background Technology

[0002] The vehicle-mounted power transformer consists of a ferrite core and copper windings, all encapsulated in a colloid within a housing equipped with cooling channels. During service, alternating voltage or current is applied to the transformer windings, causing the core to generate an alternating magnetic field due to electromagnetic induction. Driven by the magnetostrictive effect, the magnetic domains within the magnetic material rotate, inducing periodic elastic deformation and generating alternating magnetostrictive stress within the core. Simultaneously, the core and windings generate heat due to hysteresis and eddy current losses in the alternating magnetic field, leading to uneven internal temperature distribution and inducing thermal stress. The thermal expansion of the encapsulating colloid also applies additional compressive stress to the core. Notably, the core material itself is relatively brittle, and its manufacturing process makes it extremely sensitive to mechanical stress. The disturbances caused by these multiple stress sources can easily induce microcracks, leading to transformer functional degradation and performance deterioration. Furthermore, the potting compound, with its elastic and damping properties, can play a role in vibration reduction and buffering, and its excellent thermal conductivity can also work in conjunction with the cooling water channels to achieve effective heat dissipation. However, temperature fluctuations can still indirectly affect structural integrity by changing the electromagnetic and mechanical properties of the material. Therefore, the electric, magnetic, thermal, and mechanical multi-physical fields inside the transformer exhibit highly nonlinear coupling characteristics. Comprehensively considering this complex multi-field interaction is a key prerequisite for accurately assessing the service reliability of the magnetic core.

[0003] In related technologies, existing transformer core reliability analysis mostly adopts a single physical field simulation method, which only considers the magnetostriction effect under the magnetic field or the thermal expansion effect of the material caused by the temperature field. However, the transformer is affected by multiple physical fields. The single physical field simulation method will lead to inaccurate assessment of the stress state of the transformer core under complex working conditions, which in turn leads to low accuracy in the strength analysis of the transformer core. Summary of the Invention

[0004] The problem solved by this invention is to improve the accuracy of transformer core strength analysis.

[0005] To address the aforementioned problems, this invention provides a method, apparatus, equipment, and medium for analyzing the magnetic core strength of a transformer.

[0006] In a first aspect, the present invention provides a method for analyzing the strength of a transformer core, comprising: S1. Based on the three-dimensional geometric model of the transformer, construct an electromagnetic-thermal bidirectional coupling three-dimensional simulation model and a thermo-mechanical unidirectional coupling three-dimensional simulation model respectively. S2, Perform bidirectional iterative calculations on the electromagnetic-thermal bidirectional coupling three-dimensional simulation model to obtain transient magnetic flux density component data and steady-state temperature distribution data; S3. Based on the magnetostrictive characteristic curve and the transient magnetic flux density component data, interpolation is performed to obtain the magnetostrictive strain component data. S4. Input the steady-state temperature distribution data and the magnetostrictive strain component data into the thermo-mechanical unidirectional coupling three-dimensional simulation model for comprehensive calculation to obtain the comprehensive stress distribution data of the magnetic core. S5. Analyze the comprehensive stress distribution data of the magnetic core to obtain the transformer core strength analysis results.

[0007] Optionally, the electromagnetic-thermal bidirectional coupling three-dimensional simulation model includes a transient electromagnetic simulation model and a steady-state thermal simulation model with a bidirectional coupling iterative relationship, and the thermo-mechanical unidirectional coupling three-dimensional simulation model is a static mechanical simulation model with the ability to input external data.

[0008] Optionally, in step S2, bidirectional iterative calculations are performed on the electromagnetic-thermal bidirectional coupling three-dimensional simulation model to obtain transient magnetic flux density component data and steady-state temperature distribution data, including: S21, Apply alternating voltage / current excitation to the transient electromagnetic simulation model, solve the transient electromagnetic field based on Maxwell's electromagnetic field theory, and obtain the loss data of the transformer winding and magnetic core. S22, input the loss data into the steady-state thermal simulation model to solve the steady-state heat conduction problem and obtain intermediate data of the steady-state temperature distribution of the transformer component and the heat dissipation component; S23, input the intermediate steady-state temperature distribution data into the transient electromagnetic simulation model, update the material magnetic parameters of the transient electromagnetic simulation model, and iteratively execute steps S21 and S22 until the convergence condition is met, thereby generating the transient magnetic flux density component data and the steady-state temperature distribution data.

[0009] Optionally, step S3 involves interpolating the magnetostrictive characteristic curve and the transient magnetic flux density component data to obtain magnetostrictive strain component data, including: S31. Determine the magnetic flux density cloud map based on the electromagnetic-thermal bidirectional coupling three-dimensional simulation model, extract the time-varying fluctuation curve of the magnetic flux density cloud map, and determine the peak time of the time-varying fluctuation curve of the magnetic flux density. S32, extract the peak time magnetic flux density component data corresponding to the peak time from the transient magnetic flux density component data; S33. Based on the magnetostrictive characteristic curve and the magnetic flux density component data at the peak moment, interpolation is performed to obtain the magnetostrictive strain component data.

[0010] Optionally, in step S4, the steady-state temperature distribution data and the magnetostrictive strain component data are input into the thermo-mechanical unidirectional coupling three-dimensional simulation model for comprehensive calculation to obtain the comprehensive stress distribution data of the magnetic core, including: S41, input the steady-state temperature distribution data into the thermo-mechanical unidirectional coupling three-dimensional simulation model, and input the magnetostrictive strain component data as initial strain data into the magnetic core module of the thermo-mechanical unidirectional coupling three-dimensional simulation model; S42, comprehensively calculate the internal thermal deformation of the magnetic core, the thermal expansion effect of the external potting compound, and the magnetostrictive effect of the magnetic core, and obtain the comprehensive stress distribution data of the magnetic core based on the constitutive relation of elasticity and the Von-Mises stress model.

[0011] Optionally, step S5 involves analyzing the comprehensive stress distribution data of the magnetic core to obtain the transformer core strength analysis results, including: S51, compare and analyze the maximum stress of the magnetic core with the failure threshold in the comprehensive stress distribution data of the magnetic core to obtain the strength analysis results of the transformer core.

[0012] Optionally, the simulation settings of the transient electromagnetic simulation model include temperature-corrected material magnetic parameter settings, alternating voltage / current excitation settings, core loss density formula and parameter settings, winding turns settings, and loss transmission mode. The simulation settings of the steady-state thermal simulation model include thermal simulation boundary condition settings and temperature-corrected thermal characteristic parameter settings. The simulation settings of the static mechanical simulation model include temperature-corrected material elastic mechanical parameter settings, constraint condition settings, and external data input settings, including temperature distribution data and initial strain data.

[0013] Secondly, the present invention provides a transformer core strength analysis device, comprising: The module is used to construct electromagnetic-thermal bidirectional coupling three-dimensional simulation models and thermo-mechanical unidirectional coupling three-dimensional simulation models based on the three-dimensional geometric model of the transformer. The iteration module is used to perform bidirectional iterative calculations on the electromagnetic-thermal bidirectional coupling three-dimensional simulation model to obtain transient magnetic flux density component data and steady-state temperature distribution data. The interpolation module is used to interpolate the magnetostrictive characteristic curve and the transient magnetic flux density component data to obtain the magnetostrictive strain component data. The stress module is used to input the steady-state temperature distribution data and the magnetostrictive strain component data into the thermo-mechanical unidirectional coupling three-dimensional simulation model for comprehensive calculation to obtain the comprehensive stress distribution data of the magnetic core. The analysis module is used to analyze the comprehensive stress distribution data of the magnetic core to obtain the strength analysis results of the transformer core.

[0014] Thirdly, the present invention provides an electronic device, including a memory and a processor; The memory is used to store computer programs; The processor is configured to implement the transformer core strength analysis method as described in the first aspect when executing the computer program.

[0015] Fourthly, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the transformer core strength analysis method as described in the first aspect.

[0016] The beneficial effects of the transformer core strength analysis method, apparatus, equipment, and dielectric of the present invention are: Step S1 constructs two-dimensional simulation models: an electromagnetic-thermal bidirectional coupling model and a thermo-mechanical unidirectional coupling model. This establishes a simulation analysis framework connecting multiple physical fields (electromagnetic, thermal, and mechanical), overcoming the limitation of single-field simulations in related technologies and providing model support for core strength analysis under multi-field coupling. Within this framework, step S2 performs bidirectional iterative calculations on the electromagnetic-thermal bidirectional coupling model to obtain transient magnetic flux density component data and steady-state temperature distribution data. The bidirectional iterative calculation mode fully incorporates the interaction between the electromagnetic and temperature fields, avoiding the problem of physical quantity calculations deviating from actual working conditions under single-field simulations and ensuring the accuracy of basic field quantity data. Subsequently, step S3 interpolates the magnetostrictive characteristic curve and transient magnetic flux density component data to obtain magnetostrictive strain component data, realizing… The precise conversion of electromagnetic field calculation results into mechanical field input parameters completes the quantification and inter-field transfer of the magnetostrictive effect, providing strain input corresponding to the magnetostrictive effect for mechanical field calculation. Then, in step S4, steady-state temperature distribution data and magnetostrictive strain component data are jointly input into the thermo-mechanical unidirectional coupling three-dimensional simulation model for comprehensive calculation, obtaining the comprehensive stress distribution data of the magnetic core. This can simultaneously cover the effects of thermal expansion caused by the temperature field and magnetostriction under the magnetic field on the magnetic core force, overcoming the shortcomings of related technologies that only consider a single effect, making the assessment of the magnetic core force state under complex working conditions more comprehensive and accurate. Finally, in step S5, the comprehensive stress distribution data of the magnetic core is analyzed to obtain the transformer core strength analysis results. Relying on the aforementioned precise calculation and comprehensive force assessment of multi-field coupling, the overall accuracy of transformer core strength analysis is effectively improved. Attached Figure Description

[0017] Figure 1 A schematic flowchart of the transformer core strength analysis method provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the overall structure of the transformer provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of a transformer assembly provided in an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of the transformer core strength analysis device provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0018] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Although some embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of the present invention. It should be understood that the accompanying drawings and embodiments of the present invention are for illustrative purposes only and are not intended to limit the scope of protection of the present invention.

[0019] It should be understood that the various steps described in the method embodiments of the present invention may be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present invention is not limited in this respect.

[0020] The term "comprising" and its variations as used herein are open-ended, meaning "including but not limited to"; the term "based on" means "at least partially based on"; the term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments"; and the term "optionally" means "optional embodiments". Definitions of other terms will be given in the following description. It should be noted that the concepts of "first," "second," etc., mentioned in this invention are used only to distinguish different devices, modules, or units, and are not intended to limit the order of functions performed by these devices, modules, or units or their interdependencies.

[0021] It should be noted that the terms "a" and "a plurality of" used in this invention are illustrative rather than restrictive. Those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0022] The names of the messages or information exchanged between the multiple devices in the embodiments of the present invention are for illustrative purposes only and are not intended to limit the scope of these messages or information.

[0023] like Figure 1 As shown in the figure, an embodiment of the present invention provides a method for analyzing the magnetic core strength of a transformer, comprising: S1. Based on the three-dimensional geometric model of the transformer, construct an electromagnetic-thermal bidirectional coupling three-dimensional simulation model and a thermo-mechanical unidirectional coupling three-dimensional simulation model respectively.

[0024] Specifically, the transformer as a whole comprises two parts: the transformer assembly and the heat dissipation assembly, wherein, for example... Figure 2 and Figure 3 As shown, the transformer assembly consists of a ferrite core and copper windings, specifically including a resonant winding and an excitation winding. The heat dissipation assembly consists of potting compound and a shell with cooling water channels, which are equipped with coolant inlets and outlets. In constructing the three-dimensional geometric model, reasonable simplifications are made, ignoring the inter-turn gaps and insulation structure of the windings. Each winding is represented as a uniform solid structure, and the excitation winding is divided into a primary winding and a secondary winding to balance simulation accuracy and computational efficiency. Based on the above three-dimensional geometric model, an electromagnetic-thermal bidirectional coupling three-dimensional simulation model and a thermo-dynamic unidirectional coupling three-dimensional simulation model are constructed. The construction and subsequent solution of both can be implemented in various finite element simulation software, including but not limited to ANSYS Maxwell / Fluent / Icepak / Mechanical, COMSOL Multiphysics, and SIMULIA Abaqus, which can be selected according to the actual application scenario and software compatibility. This embodiment can build a simulation analysis architecture covering multiple physical fields such as electromagnetic, thermal, and mechanical fields, providing a complete model foundation for subsequent calculation of magnetic core strength under multi-field coupling. At the same time, it balances simulation accuracy and computational efficiency through reasonable geometric simplification and mesh generation strategies, and supports adaptation to multiple types of finite element software, thus having strong engineering applicability.

[0025] S2, perform bidirectional iterative calculations on the electromagnetic-thermal bidirectional coupling three-dimensional simulation model to obtain transient magnetic flux density component data and steady-state temperature distribution data.

[0026] Specifically, a bidirectional iterative calculation process is executed on the constructed electromagnetic-thermal bidirectional coupled three-dimensional simulation model. During the calculation, the electromagnetic field solution and the temperature field solution form an interactive iterative calculation loop through coupling. The loss results generated by the electromagnetic field calculation are transmitted to the temperature field solution as a heat source input, and the temperature results obtained by the temperature field calculation are fed back to the electromagnetic field solution to update relevant material properties. Through multiple iterations, the simulation results gradually converge to a stable state. After completing the bidirectional iterative calculation, two types of core data can be output: one is the transient magnetic flux density component data corresponding to each node of the magnetic core, used to characterize the spatial distribution and transient change characteristics of the magnetic field inside the magnetic core; the other is the steady-state temperature distribution data corresponding to each node of the transformer assembly and the heat dissipation assembly, used to characterize the overall temperature spatial distribution of the transformer under steady-state operation. This embodiment can obtain basic magnetic field and temperature field data that closely resemble actual working conditions through bidirectional iterative coupled calculation, providing accurate input conditions for subsequent mechanical field calculations and avoiding the deviation of basic data caused by single physical field calculations.

[0027] S3. Based on the magnetostrictive characteristic curve and the transient magnetic flux density component data, interpolation is performed to obtain the magnetostrictive strain component data.

[0028] Specifically, based on the transient magnetic flux density component data obtained from the aforementioned bidirectional coupling calculation, interpolation calculations are performed using the magnetostriction characteristic curve corresponding to the magnetic core material. The magnetostriction characteristic curve characterizes the correspondence between the magnetostriction coefficient and magnetic flux density of the magnetic core material, serving as the foundation for the quantitative calculation of the magnetostriction effect. The interpolation calculation uses the magnetic flux density values ​​at each node as input, and by matching the correspondence on the magnetostriction characteristic curve, obtains the magnetostriction coefficient corresponding to each node, which is further converted into magnetostriction strain component data in various spatial directions. This strain component data directly reflects the deformation characteristics of the magnetic core under the action of a magnetic field due to the magnetostriction effect, and is one of the core input parameters for subsequent comprehensive mechanical field calculations. This embodiment can achieve accurate conversion of magnetic field calculation results into mechanical field strain parameters, completing the quantitative transfer of the magnetostriction effect in multiphysics field analysis, and providing strain input support in the magnetostriction dimension for subsequent comprehensive stress calculations of the magnetic core.

[0029] S4. Input the steady-state temperature distribution data and the magnetostrictive strain component data into the thermo-mechanical unidirectional coupling three-dimensional simulation model for comprehensive calculation to obtain the comprehensive stress distribution data of the magnetic core.

[0030] Specifically, the aforementioned steady-state temperature distribution data and magnetostrictive strain component data are input into the constructed thermo-mechanical unidirectional coupling three-dimensional simulation model for comprehensive calculation. During the calculation, the steady-state temperature distribution data is used to generate thermal deformation and thermal stress induced by the temperature field, including both internal thermal stress caused by uneven temperature distribution within the magnetic core and compressive stress exerted on the magnetic core by the thermal expansion of the external potting compound. The magnetostrictive strain component data is used to characterize the magnetostrictive deformation and corresponding stress generated within the magnetic core under the influence of the magnetic field. The model superimposes the two stress sources to obtain the overall comprehensive stress distribution data of the magnetic core, which fully presents the stress level and spatial distribution pattern at various locations within the magnetic core. This embodiment can simultaneously cover the contributions of thermal and magnetostrictive effects to the magnetic core stress, achieving a comprehensive assessment of the magnetic core's stress state under the influence of multiple physics fields, avoiding the one-sidedness of stress analysis caused by calculations from a single stress source.

[0031] S5. Analyze the comprehensive stress distribution data of the magnetic core to obtain the transformer core strength analysis results.

[0032] Specifically, the calculated comprehensive stress distribution data of the magnetic core is analyzed and processed to output the transformer core strength analysis results. The analysis process revolves around the stress level and failure risk of the magnetic core. Based on the comprehensive stress distribution data, the stress distribution characteristics and high-stress areas of the magnetic core are identified, and the stress state of the magnetic core under corresponding operating conditions is evaluated. Through quantitative evaluation of the core stress level, the strength margin and reliability level of the magnetic core can be intuitively reflected, forming corresponding strength analysis conclusions to guide the reliability design and failure risk prediction of the transformer core. This embodiment can output accurate core strength analysis conclusions based on the comprehensive stress calculation results of multi-field coupling, effectively improving the reliability of core strength assessment under complex operating conditions and providing data support for risk identification and failure diagnosis of transformer cores.

[0033] In an embodiment of the transformer core strength analysis method, step S1 constructs an electromagnetic-thermal bidirectional coupling three-dimensional simulation model and a thermo-mechanical unidirectional coupling three-dimensional simulation model, respectively. This establishes a simulation analysis framework connecting multiple physical fields (electromagnetic, thermal, and mechanical), overcoming the limitation of using only a single physical field in related technologies and providing model support for core strength analysis under multi-field coupling. Under this framework, step S2 performs bidirectional iterative calculations on the electromagnetic-thermal bidirectional coupling three-dimensional simulation model to obtain transient magnetic flux density component data and steady-state temperature distribution data. The bidirectional iterative calculation mode fully incorporates the interaction between the electromagnetic field and the temperature field, avoiding the problem of physical quantity calculations deviating from actual operating conditions under single-physical-field simulations and ensuring the accuracy of the basic field quantity data. Subsequently, step S3 interpolates the magnetostriction characteristic curve and the transient magnetic flux density component data to obtain the magnetostriction strain. The variable component data enables the precise conversion of electromagnetic field calculation results into mechanical field input parameters, quantifying the magnetostrictive effect and transferring it between fields, providing strain input corresponding to the magnetostrictive effect for mechanical field calculations. Then, in step S4, steady-state temperature distribution data and magnetostrictive strain component data are input into a thermo-mechanical unidirectional coupling three-dimensional simulation model for comprehensive calculation, yielding comprehensive core stress distribution data. This simultaneously covers the effects of thermal expansion caused by the temperature field and magnetostriction under the magnetic field on the core stress, overcoming the shortcomings of related technologies that only consider a single effect, making the assessment of the core stress state under complex working conditions more comprehensive and accurate. Finally, step S5 analyzes the comprehensive core stress distribution data to obtain the transformer core strength analysis results. Relying on the aforementioned precise calculations and comprehensive stress assessments through multi-field coupling, the overall accuracy of transformer core strength analysis is effectively improved.

[0034] Optionally, the electromagnetic-thermal bidirectional coupling three-dimensional simulation model includes a transient electromagnetic simulation model and a steady-state thermal simulation model with a bidirectional coupling iterative relationship, and the thermo-mechanical unidirectional coupling three-dimensional simulation model is a static mechanical simulation model with the ability to input external data.

[0035] Specifically, alternating electric field excitation generates alternating induced magnetic fields and electromagnetic losses in the magnetic core, resulting in magnetostrictive stress and heat. Since transformer temperature rise has a time-cumulative effect, and magnetostriction is a transient characteristic positively correlated with magnetic flux density, the electromagnetic simulation is set to transient calculation type, and the thermal simulation is set to steady-state calculation type; that is, the model types are transient electromagnetic simulation model and steady-state thermal simulation model. The solid and air domains of the transient electromagnetic simulation model are divided using tetrahedral unstructured meshes, while the solid, air, and coolant fluid domains of the steady-state thermal simulation model are divided using hexahedral dominant meshes. The electromagnetic-thermal bidirectional coupled three-dimensional simulation model includes the transient electromagnetic simulation model and the steady-state thermal simulation model, with a bidirectional coupling iterative relationship between them, forming a closed-loop calculation logic of "electromagnetic field generation loss - loss driving temperature field - temperature field feedback correction of electromagnetic parameters." The transient electromagnetic simulation model is used to solve for the transient electromagnetic field distribution under alternating excitation, capturing the time-varying characteristics of magnetic flux density to match the transient features of the magnetostrictive effect. The steady-state thermal simulation model is used to solve for the temperature field distribution after the transformer reaches thermal equilibrium, matching the time-cumulative characteristics of temperature rise. The two-way coupled iterative relationship is specifically manifested as follows: the electromagnetic losses calculated by the transient electromagnetic simulation model are transferred to the steady-state thermal simulation model as an internal heat source through a mapping method; the nodal temperature data calculated by the steady-state thermal simulation model are fed back to the transient electromagnetic simulation model to update the temperature-related material electromagnetic properties, i.e., the material magnetic parameters. The thermo-mechanical unidirectional coupled three-dimensional simulation model is a static mechanical simulation model capable of inputting external data. External data is connected to the static mechanical simulation model as a separate module for importing external data, thereby allowing the static mechanical simulation model to import the temperature field from the outside and perform corresponding calculations. The static mechanical simulation model is a three-dimensional finite element solution model based on elastic statics theory, used to analyze the deformation and stress distribution of structures under constant loads. The solution process does not consider dynamic effects such as inertial forces and damping forces, nor does it perform transient advancements with time steps. It is suitable for evaluating the static strength of the magnetic core under the stable operating conditions of transformers reaching thermal steady state and magnetostriction effect. This embodiment further ensures the accuracy of multi-physics coupling calculations by clearly defining the types and coupling logic of the two types of coupled models, as well as the mechanical parameter settings for temperature correction, making the simulation model more closely reflect the physical field changes in actual transformer operation.

[0036] Optionally, in step S2, bidirectional iterative calculations are performed on the electromagnetic-thermal bidirectional coupling three-dimensional simulation model to obtain transient magnetic flux density component data and steady-state temperature distribution data, including: S21, Apply alternating voltage / current excitation to the transient electromagnetic simulation model, solve the transient electromagnetic field based on Maxwell's electromagnetic field theory, and obtain the loss data of the transformer winding and magnetic core. S22, input the loss data into the steady-state thermal simulation model to solve the steady-state heat conduction problem and obtain intermediate data of the steady-state temperature distribution of the transformer component and the heat dissipation component; S23, input the intermediate steady-state temperature distribution data into the transient electromagnetic simulation model, update the material magnetic parameters of the transient electromagnetic simulation model, and iteratively execute steps S21 and S22 until the convergence condition is met, thereby generating the transient magnetic flux density component data and the steady-state temperature distribution data.

[0037] Specifically, in step S21, alternating voltage / current excitation is applied to the transient electromagnetic simulation model. Based on Maxwell's electromagnetic field theory, the transient electromagnetic field is solved to obtain the loss data of the transformer winding and core. The excitation is applied as follows: alternating current excitation is applied to the resonant winding, and alternating voltage excitation is applied to the primary side of the excitation winding. The input voltage and current excitation curves can be extracted through LLC circuit simulation under specific operating conditions, or acquired through complete circuit testing. The LLC circuit consists of a switching circuit, a resonant circuit, and a rectifier circuit. The relationship between the magnetic induction intensity B and the input alternating voltage U satisfies the following formula: ; In addition, magnetostriction The relationship with voltage is as follows: ; in, Peak voltage, For time, It is the voltage angular frequency. For phase, The number of coil turns. This refers to the cross-sectional area of ​​the coil. Core loss density is calculated using Steinmetz's empirical formula: Pcv=C m *f x *B y *(C t0 -C t1 *T+C t2 *T 2 In the formula, Pcv represents the loss data, and C represents the loss data. m Basic loss factor, C t0 C t1 C t2均 Here, x and y are empirical exponents of frequency and magnetic flux density, f is frequency, T is temperature, and parameter C is... m x, y reflect the influence of frequency and magnetic flux density on core loss, and parameter C t0 C t1 C t2To demonstrate the effect of temperature on core loss, the Steinmetz model parameters of the manganese-zinc ferrite material are input into the core material model as a function of temperature, thus enabling the calculation of core loss density under temperature influence. Step S22 involves inputting the loss data into the steady-state thermal simulation model to solve for steady-state heat conduction, obtaining intermediate steady-state temperature distribution data for the transformer assembly and heat dissipation assembly. The steady-state heat conduction equation is as follows: ,in For temperature, Thermal conductivity, For internal heat source density, For the temperature rise, in the above physical field, the magnetic induction intensity (i.e., magnetic flux density) B is a vector, and the temperature rise is caused by electromagnetic losses. As a scalar, the thermal strain is constant in all three directions of space. , The coefficient of thermal expansion of the material is used. The loss output from the electromagnetic simulation model is transferred to the thermal simulation model through time averaging or periodic averaging to adapt to the time scale difference between transient loss and steady-state temperature field. In step S23, intermediate steady-state temperature distribution data is input into the transient electromagnetic simulation model to update the material magnetic parameters of the transient electromagnetic simulation model. Specifically, this includes the temperature-corrected conductivity of the winding, the relationship between the magnetization characteristics (BH curve) of the magnetic core and temperature, and the relationship between the magnetic core loss density and temperature. Steps S21 and S22 are iteratively executed until the convergence condition is met, and finally, transient magnetic flux density component data and steady-state temperature distribution data are generated. The number of excitation cycles and the number of bidirectional coupling iterations can be set in the calculation. The specific number can be set according to the actual situation. The convergence condition can be set to the relative error of temperature data between iteration steps being less than the convergence threshold. This embodiment can accurately reproduce the interaction process between the electromagnetic field and the temperature field by clearly defining the step-by-step calculation logic of bidirectional iteration, the loss calculation model and parameter update rules, effectively improving the calculation accuracy of the basic physical field and providing highly reliable input data for subsequent mechanical field analysis.

[0038] Optionally, step S3 involves interpolating the magnetostrictive characteristic curve and the transient magnetic flux density component data to obtain magnetostrictive strain component data, including: S31. Determine the magnetic flux density cloud map based on the electromagnetic-thermal bidirectional coupling three-dimensional simulation model, extract the time-varying fluctuation curve of the magnetic flux density cloud map, and determine the peak time of the time-varying fluctuation curve of the magnetic flux density. S32, extract the peak time magnetic flux density component data corresponding to the peak time from the transient magnetic flux density component data; S33. Based on the magnetostrictive characteristic curve and the magnetic flux density component data at the peak moment, interpolation is performed to obtain the magnetostrictive strain component data.

[0039] Specifically, in step S31, a magnetic flux density cloud map is generated based on the electromagnetic field calculation results of the electromagnetic-thermal bidirectional coupling three-dimensional simulation model. High-risk locations of the magnetic core are located from the magnetic flux density cloud map, and the time-varying fluctuation curve of the magnetic flux density at these locations is extracted. By analyzing the time-domain variation characteristics of the fluctuation curve, the peak time of the time-varying fluctuation curve is determined, which corresponds to the moment when the magnetic flux density at that location of the magnetic core reaches its maximum value. Since the magnetostrictive effect is positively correlated with magnetic flux density, the peak time of the magnetic flux density corresponds to the peak time of the magnetostrictive strain, which is also the moment when the magnetostrictive stress of the magnetic core is at its worst. In step S32, the peak time magnetic flux density component data corresponding to the above peak time is extracted from the transient magnetic flux density component data. Specifically, this includes the magnetic flux density components (Bx, By, Bz) of each node inside the magnetic core in the x, y, and z spatial directions, which completely represent the direction and magnitude of the magnetic field at each location of the magnetic core at that moment in vector form. In step S33, interpolation is performed based on the magnetostrictive characteristic curve and the peak time magnetic flux density component data to obtain the magnetostrictive strain component data. The magnetostrictive characteristic curve is a curve showing the relationship between the magnetostriction coefficient λ and the magnetic flux density B, reflecting the nonlinear characteristics of the magnetostrictive effect of the material. By substituting the magnetic flux density components in each direction at each node into the characteristic curve for interpolation calculation, the magnetostrictive strain components (λx, λy, λz) in each direction at the corresponding node are obtained, completing the conversion from magnetic field vector to magnetostrictive strain vector. The magnetostriction coefficient is directly related to the input voltage. Changes in voltage amplitude and frequency directly affect the magnitude of magnetostrictive strain by changing the magnetic flux density amplitude. This is one of the core mechanisms by which the transformer's operating voltage and frequency affect the risk of core cracking. This embodiment can accurately obtain the magnetostrictive strain distribution under the worst operating conditions by locating the peak moment of the magnetic flux density and performing component-level interpolation calculation. This not only matches the nonlinear and time-varying characteristics of the magnetostrictive effect but also ensures the spatial vector accuracy of the strain data, providing accurate magnetostrictive input for subsequent stress calculations.

[0040] Optionally, in step S4, the steady-state temperature distribution data and the magnetostrictive strain component data are input into the thermo-mechanical unidirectional coupling three-dimensional simulation model for comprehensive calculation to obtain the comprehensive stress distribution data of the magnetic core, including: S41, input the steady-state temperature distribution data into the thermo-mechanical unidirectional coupling three-dimensional simulation model, and input the magnetostrictive strain component data as initial strain data into the magnetic core module of the thermo-mechanical unidirectional coupling three-dimensional simulation model; S42, comprehensively calculate the internal thermal deformation of the magnetic core, the thermal expansion effect of the external potting compound, and the magnetostrictive effect of the magnetic core, and obtain the comprehensive stress distribution data of the magnetic core based on the constitutive relation of elasticity and the Von-Mises stress model.

[0041] Specifically, in step S41, steady-state temperature distribution data is input into the thermo-mechanical unidirectional coupling three-dimensional simulation model, and magnetostrictive strain component data is input as initial strain data into the core module of the thermo-mechanical unidirectional coupling three-dimensional simulation model. The steady-state temperature distribution data is mapped to the corresponding mesh nodes of the mechanical model in the form of nodal temperatures, serving as the temperature load for thermal deformation calculation; the magnetostrictive strain component data is assigned to the core material domain in the form of initial volumetric strain, used to characterize the inherent deformation of the core itself under the action of the magnetic field. In step S42, the thermal deformation inside the core, the thermal expansion effect of the external potting compound, and the magnetostrictive effect of the core are comprehensively calculated, and the comprehensive stress distribution data of the core is obtained according to the elastic constitutive relation and the Von-Mises stress model. In the elastic field, the strain component at a point in space consists of normal strain and shear strain. Considering the normal strain in three directions of space due to thermal expansion and magnetostriction, the cumulative elastic strain constitutive equation is: ; in, , , It is a normal stress component. , , It is the shear stress component. , , It is the normal strain component. , , It is the shear strain component. It is the elastic modulus. It is Poisson's ratio. It is the coefficient of thermal expansion. , , It is the magnetostrictive strain component. According to the Von-Mises stress formula, the combined equivalent stress... for: ; By combining the constitutive relations and equivalent stress formulas described above, the Von-Mises stress at each node of the magnetic core can be obtained by integrating the three types of deformation effects, thus forming complete data on the overall stress distribution of the magnetic core. This embodiment can accurately quantify the core stress level under the combined effects of thermal and magnetostrictive effects by clearly defining the superposition calculation logic and mechanical constitutive model of multi-source strain, thereby achieving a precise solution to the core stress state under multi-physics coupling and providing a reliable stress data foundation for core strength assessment.

[0042] Optionally, step S5 involves analyzing the comprehensive stress distribution data of the magnetic core to obtain the transformer core strength analysis results, including: S51, compare and analyze the maximum stress of the magnetic core with the failure threshold in the comprehensive stress distribution data of the magnetic core to obtain the strength analysis results of the transformer core.

[0043] Specifically, the maximum stress of the magnetic core in the comprehensive stress distribution data is compared with the failure threshold to obtain the transformer core strength analysis results. The maximum stress is the Von-Mises stress value in the comprehensive stress distribution data, representing the highest stress level the core bears under this operating condition. It typically occurs at the structural corners of the core, near the air gap, or in areas with strong potting compound constraint. The failure threshold is the allowable stress value corresponding to the core material, i.e., the critical stress value at which the core material cracks and fails. This threshold can be obtained through material mechanical property testing and corresponds to the brittle fracture strength of the ferrite core. The judgment logic of the comparative analysis is as follows: if the maximum stress of the core is less than the failure threshold, it is determined that the core has no risk of cracking under this operating condition, and the strength meets the reliability requirements; if the maximum stress of the core is greater than or equal to the failure threshold, it is determined that the core has a risk of cracking under this operating condition. The greater the extent to which the maximum stress exceeds the threshold, the higher the failure risk level. This quantitative comparison method can directly output a clear conclusion on the core strength, and simultaneously locate high-risk areas based on stress distribution data, providing targeted guidance for core structure optimization, material selection, and adjustment of operating parameters. This embodiment achieves an intuitive and accurate assessment of core crack failure risk through quantitative comparison of maximum stress and failure threshold, effectively improving the efficiency and accuracy of core risk identification and failure diagnosis, and providing a clear decision-making basis for transformer reliability design.

[0044] Optionally, the simulation settings of the transient electromagnetic simulation model include temperature-corrected material magnetic parameter settings, alternating voltage / current excitation settings, core loss density formula and parameter settings, winding turns settings, and loss transmission mode. The simulation settings of the steady-state thermal simulation model include thermal simulation boundary condition settings and temperature-corrected thermal characteristic parameter settings. The simulation settings of the static mechanical simulation model include temperature-corrected material elastic mechanical parameters, and the external data include temperature distribution data and initial strain data.

[0045] Specifically, the simulation settings of the transient electromagnetic simulation model include the following five categories: The first category is the temperature-corrected material magnetic parameter settings, which specifically include the relationship curves between winding conductivity and temperature, core magnetization characteristics (magnetic flux density B - magnetic field strength H) and temperature, and core loss density and temperature. All magnetic parameters consider temperature dependence to achieve feedback correction of the electromagnetic field by the temperature field; the second category is the alternating voltage / current excitation settings, which can set voltage excitation or current excitation according to the winding type. The excitation waveform and timing can match the output characteristics of the actual working circuit; the third category is the core loss density... The formula and parameter settings allow for inputting curves showing the relationship between loss density and magnetic flux density, frequency, and temperature, or nonlinear expressions relating loss density to these parameters. In engineering, the Steinmetz empirical formula is typically used with corresponding temperature correction coefficients to adapt to the loss characteristics of different core materials. The fourth category is winding turn settings, allowing for setting the corresponding number of turns for both resonant and excitation windings to match the actual electrical parameters of the transformer. The fifth category is loss transmission mode settings, allowing for selection of time-averaged or periodically-averaged loss transmission methods to accommodate the time scale differences between transient electromagnetic fields and steady-state temperature fields. The steady-state thermal simulation model's simulation settings include two categories: the first is thermal simulation boundary condition settings, specifically including boundary parameters such as coolant inlet velocity, coolant temperature, and ambient temperature, to reproduce the actual heat dissipation environment of the transformer; the second is temperature-corrected thermal characteristic parameter settings, setting temperature relationship curves for the thermal conductivity and specific heat capacity of the ferrite core and copper windings, and for the density, thermal conductivity, specific heat capacity, and viscosity of the coolant, comprehensively considering the influence of temperature on the thermophysical properties of each material. The static mechanical simulation model includes temperature-corrected material elasticity parameters, constraint settings, and external data input settings. The material elasticity parameters specifically cover temperature-corrected elastic modulus, Poisson's ratio, and coefficient of linear expansion. All parameters consider the influence of temperature changes on material mechanical properties, using parameter values ​​at the corresponding temperature for mechanical calculations to avoid calculation errors caused by substituting room-temperature parameters. The model constructs a mechanical solution domain based on a three-dimensional geometric model of a transformer, assigning corresponding material mechanical property parameters to the core, windings, potting compound, and shell. Displacement boundaries of the structure are defined by applying fixed constraints. Steady-state temperature field data is imported into the model as a temperature load using a thermo-mechanical unidirectional coupling method. Simultaneously, magnetostrictive strain components are applied as initial volumetric strain to the core material domain, simultaneously covering the combined effects of three types of loads: internal thermal gradient deformation of the core, external potting compound thermal expansion and compression, and the core's own magnetostrictive deformation. Finally, the Von-Mises comprehensive stress distribution of the core is obtained based on the elastic constitutive relation. External data includes temperature distribution data and initial strain data, namely steady-state temperature distribution data and magnetostrictive strain component data as input to the initial strain data.This embodiment can refine the parameter settings of the two types of simulation models in all dimensions to ensure a high degree of matching between the simulation model and the actual working conditions, thereby further improving the accuracy and engineering applicability of multiphysics coupling calculation.

[0046] like Figure 4 As shown, an embodiment of the present invention provides a transformer core strength analysis device, comprising: The module is used to construct electromagnetic-thermal bidirectional coupling three-dimensional simulation models and thermo-mechanical unidirectional coupling three-dimensional simulation models based on the three-dimensional geometric model of the transformer. The iteration module is used to perform bidirectional iterative calculations on the electromagnetic-thermal bidirectional coupling three-dimensional simulation model to obtain transient magnetic flux density component data and steady-state temperature distribution data. The interpolation module is used to interpolate the magnetostrictive characteristic curve and the transient magnetic flux density component data to obtain the magnetostrictive strain component data. The stress module is used to input the steady-state temperature distribution data and the magnetostrictive strain component data into the thermo-mechanical unidirectional coupling three-dimensional simulation model for comprehensive calculation to obtain the comprehensive stress distribution data of the magnetic core. The analysis module is used to analyze the comprehensive stress distribution data of the magnetic core to obtain the strength analysis results of the transformer core.

[0047] like Figure 5 As shown, an electronic device 500 provided in this embodiment of the invention includes a memory 510 and a processor 520; the memory 510 is used to store a computer program; the processor 520 is used to implement the transformer core strength analysis method as described above when the computer program is executed.

[0048] Alternatively, an electronic device 500 includes a memory 510 and a processor 520 coupled to the memory 510; the memory 510 is configured to store a computer program; and the processor 520 is configured to perform the following operations when the computer program is executed: S1. Based on the three-dimensional geometric model of the transformer, construct an electromagnetic-thermal bidirectional coupling three-dimensional simulation model and a thermo-mechanical unidirectional coupling three-dimensional simulation model respectively. S2, Perform bidirectional iterative calculations on the electromagnetic-thermal bidirectional coupling three-dimensional simulation model to obtain transient magnetic flux density component data and steady-state temperature distribution data; S3. Based on the magnetostrictive characteristic curve and the transient magnetic flux density component data, interpolation is performed to obtain the magnetostrictive strain component data. S4. Input the steady-state temperature distribution data and the magnetostrictive strain component data into the thermo-mechanical unidirectional coupling three-dimensional simulation model for comprehensive calculation to obtain the comprehensive stress distribution data of the magnetic core. S5. Analyze the comprehensive stress distribution data of the magnetic core to obtain the transformer core strength analysis results.

[0049] This invention provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the transformer core strength analysis method described above.

[0050] Alternatively, a non-volatile computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to perform the following operations: S1. Based on the three-dimensional geometric model of the transformer, construct an electromagnetic-thermal bidirectional coupling three-dimensional simulation model and a thermo-mechanical unidirectional coupling three-dimensional simulation model respectively. S2, Perform bidirectional iterative calculations on the electromagnetic-thermal bidirectional coupling three-dimensional simulation model to obtain transient magnetic flux density component data and steady-state temperature distribution data; S3. Based on the magnetostrictive characteristic curve and the transient magnetic flux density component data, interpolation is performed to obtain the magnetostrictive strain component data. S4. Input the steady-state temperature distribution data and the magnetostrictive strain component data into the thermo-mechanical unidirectional coupling three-dimensional simulation model for comprehensive calculation to obtain the comprehensive stress distribution data of the magnetic core. S5. Analyze the comprehensive stress distribution data of the magnetic core to obtain the transformer core strength analysis results.

[0051] Electronic device 500, which can serve as a server or client of the present invention, is described below as an example of a hardware device applicable to various aspects of the present invention. Electronic device 500 is intended to represent various forms of digital electronic computer devices, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic device 500 can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0052] Electronic device 500 includes a computing unit that can perform various appropriate actions and processes based on a computer program stored in read-only memory (ROM) or a computer program loaded from a storage unit into random access memory (RAM). The RAM may also store various programs and data required for device operation. The computing unit, ROM, and RAM are interconnected via a bus. Input / output (I / O) interfaces are also connected to the bus.

[0053] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc. In this application, the units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of the embodiments of the present invention according to actual needs. Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated units can be implemented in hardware or as software functional units.

[0054] While the present invention has been disclosed above, its scope of protection is not limited thereto. Those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention, and all such changes and modifications will fall within the scope of protection of the present invention.

Claims

1. A method for analyzing the strength of a transformer core, characterized in that, include: S1. Based on the three-dimensional geometric model of the transformer, construct an electromagnetic-thermal bidirectional coupling three-dimensional simulation model and a thermo-mechanical unidirectional coupling three-dimensional simulation model respectively. S2, perform bidirectional iterative calculations on the electromagnetic-thermal bidirectional coupling three-dimensional simulation model to obtain transient magnetic flux density component data and steady-state temperature distribution data; S3. Based on the magnetostrictive characteristic curve and the transient magnetic flux density component data, interpolation is performed to obtain the magnetostrictive strain component data. S4. Input the steady-state temperature distribution data and the magnetostrictive strain component data into the thermo-mechanical unidirectional coupling three-dimensional simulation model for comprehensive calculation to obtain the comprehensive stress distribution data of the magnetic core. S5. Analyze the comprehensive stress distribution data of the magnetic core to obtain the transformer core strength analysis results.

2. The transformer core strength analysis method according to claim 1, characterized in that, The electromagnetic-thermal bidirectional coupling three-dimensional simulation model includes a transient electromagnetic simulation model and a steady-state thermal simulation model with a bidirectional coupling iterative relationship, while the thermo-mechanical unidirectional coupling three-dimensional simulation model is a static mechanical simulation model capable of inputting external data.

3. The transformer core strength analysis method according to claim 2, characterized in that, S2 involves performing bidirectional iterative calculations on the electromagnetic-thermal bidirectional coupling three-dimensional simulation model to obtain transient magnetic flux density component data and steady-state temperature distribution data, including: S21, Apply alternating voltage / current excitation to the transient electromagnetic simulation model, solve the transient electromagnetic field based on Maxwell's electromagnetic field theory, and obtain the loss data of the transformer winding and magnetic core. S22, input the loss data into the steady-state thermal simulation model to solve the steady-state heat conduction problem and obtain intermediate data of the steady-state temperature distribution of the transformer component and the heat dissipation component; S23, input the intermediate steady-state temperature distribution data into the transient electromagnetic simulation model, update the material magnetic parameters of the transient electromagnetic simulation model, and iteratively execute steps S21 and S22 until the convergence condition is met, thereby generating the transient magnetic flux density component data and the steady-state temperature distribution data.

4. The transformer core strength analysis method according to claim 1, characterized in that, S3 involves interpolating the magnetostrictive characteristic curve and the transient magnetic flux density component data to obtain the magnetostrictive strain component data, including: S31. Determine the magnetic flux density cloud map based on the electromagnetic-thermal bidirectional coupling three-dimensional simulation model, extract the time-varying fluctuation curve of the magnetic flux density cloud map, and determine the peak time of the time-varying fluctuation curve of the magnetic flux density. S32, extract the peak time magnetic flux density component data corresponding to the peak time from the transient magnetic flux density component data; S33. Based on the magnetostrictive characteristic curve and the magnetic flux density component data at the peak moment, interpolation is performed to obtain the magnetostrictive strain component data.

5. The transformer core strength analysis method according to claim 1, characterized in that, In step S4, the steady-state temperature distribution data and the magnetostrictive strain component data are input into the thermo-mechanical unidirectional coupling three-dimensional simulation model for comprehensive calculation to obtain the comprehensive stress distribution data of the magnetic core, including: S41, input the steady-state temperature distribution data into the thermo-mechanical unidirectional coupling three-dimensional simulation model, and input the magnetostrictive strain component data as initial strain data into the magnetic core module of the thermo-mechanical unidirectional coupling three-dimensional simulation model; S42, comprehensively calculate the internal thermal deformation of the magnetic core, the thermal expansion effect of the external potting compound, and the magnetostrictive effect of the magnetic core, and obtain the comprehensive stress distribution data of the magnetic core based on the constitutive relation of elasticity and the Von-Mises stress model.

6. The transformer core strength analysis method according to claim 1, characterized in that, S5 involves analyzing the comprehensive stress distribution data of the magnetic core to obtain the transformer core strength analysis results, including: S51, compare and analyze the maximum stress of the magnetic core with the failure threshold in the comprehensive stress distribution data of the magnetic core to obtain the strength analysis results of the transformer core.

7. The transformer core strength analysis method according to claim 2, characterized in that, The simulation settings of the transient electromagnetic simulation model include temperature-corrected material magnetic parameter settings, alternating voltage / current excitation settings, core loss density formula and parameter settings, winding turns settings, and loss transmission methods. The simulation settings of the steady-state thermal simulation model include thermal simulation boundary condition settings and temperature-corrected thermal characteristic parameter settings. The simulation settings of the static mechanical simulation model include temperature-corrected material elastic mechanical parameter settings, constraint condition settings, and external data input settings, including temperature distribution data and initial strain data.

8. A transformer core strength analysis device, characterized in that, include: The module is used to construct electromagnetic-thermal bidirectional coupling three-dimensional simulation models and thermo-mechanical unidirectional coupling three-dimensional simulation models based on the three-dimensional geometric model of the transformer. The iteration module is used to perform bidirectional iterative calculations on the electromagnetic-thermal bidirectional coupling three-dimensional simulation model to obtain transient magnetic flux density component data and steady-state temperature distribution data. The interpolation module is used to interpolate the magnetostrictive characteristic curve and the transient magnetic flux density component data to obtain the magnetostrictive strain component data. The stress module is used to input the steady-state temperature distribution data and the magnetostrictive strain component data into the thermo-mechanical unidirectional coupling three-dimensional simulation model for comprehensive calculation to obtain the comprehensive stress distribution data of the magnetic core. The analysis module is used to analyze the comprehensive stress distribution data of the magnetic core to obtain the strength analysis results of the transformer core.

9. An electronic device, characterized in that, Including memory and processor; The memory is used to store computer programs; The processor is configured to implement the transformer core strength analysis method as described in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, implements the transformer core strength analysis method as described in any one of claims 1 to 7.

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