Method and device for acquiring parasitic parameters of magnetic transformer and electronic equipment

Abstract

The invention discloses a method and a device for acquiring parasitic parameters of a magnetic transformer and electronic equipment. The method comprises the following steps: carrying out analogue simulation on the magnetic transformer by utilizing preset simulation software to obtain inductive parasitic parameters of the magnetic transformer; the magnetic transformer is controlled to operate, and capacitive parasitic parameters of the magnetic transformer are measured; constructing a parasitic parameter equivalent model of the magnetic transformer based on the inductive parasitic parameter and the capacitive parasitic parameter; based on the parasitic parameter equivalent model, target parasitic parameters of the magnetic transformer are obtained, the target parasitic parameters are used for representing parasitic parameters when the magnetic transformer operates based on the target operation frequency, and the target operation frequency is larger than the preset operation frequency. According to the invention, the technical problem of low accuracy of obtaining the parasitic parameters of the magnetic transformer in the prior art is solved.

Description

Technical Field

[0001] This invention relates to the field of vehicle technology, and more specifically, to a method, apparatus, and electronic device for obtaining parasitic parameters of a magnetic transformer. Background Technology

[0002] With the increasing demand for magnetic transformers in new energy vehicles and products, traditional magnetic transformer circuit design methods face significant challenges. As switching frequencies increase, magnetic transformers exhibit more complex resistance, inductance, and capacitance characteristics at high frequencies, leading to numerous technical problems. Among these, high-frequency oscillations and electromagnetic interference affect the reliability and performance of magnetic transformers, becoming technical obstacles in their circuit design. Traditional methods for obtaining parasitic parameters of magnetic transformers often only consider input and output voltage and current, resulting in low accuracy in calculations. Other methods require precise measurements of parameters such as conductor radius and interlayer insulation distance for complex calculations. While these provide more accurate data, the acquisition process is cumbersome and time-consuming, making it difficult to meet the needs of rapid evaluation in the early stages of magnetic transformer product development. This results in low accuracy in obtaining parasitic parameters of magnetic transformers in related technologies.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This invention provides a method, apparatus, and electronic device for obtaining parasitic parameters of a magnetic transformer, thereby at least solving the technical problem of low accuracy in obtaining parasitic parameters of magnetic transformers in related technologies.

[0005] According to one aspect of the present invention, a method for obtaining parasitic parameters of a magnetic transformer is provided, comprising: simulating the magnetic transformer using preset simulation software to obtain inductive parasitic parameters of the magnetic transformer, wherein the inductive parasitic parameters include at least one of the following: magnetizing inductance parameters and leakage inductance parameters of the magnetic transformer; controlling the operation of the magnetic transformer and measuring the capacitive parasitic parameters of the magnetic transformer, wherein the capacitive parasitic parameters include at least one of the following: parasitic capacitance parameters between the primary windings and coupling capacitance parameters between the primary and secondary windings of the magnetic transformer; constructing an equivalent model of parasitic parameters of the magnetic transformer based on the inductive and capacitive parasitic parameters; and obtaining target parasitic parameters of the magnetic transformer based on the equivalent model of parasitic parameters, wherein the target parasitic parameters represent the parasitic parameters of the magnetic transformer when operating at a target operating frequency, the target operating frequency being greater than a preset operating frequency.

[0006] In this embodiment of the invention, a magnetic transformer is simulated using preset simulation software to obtain the inductive parasitic parameters of the magnetic transformer. This includes: obtaining the three-dimensional structural parameters of the magnetic transformer; constructing a target transformer simulation model of the magnetic transformer based on the preset simulation software and the three-dimensional structural parameters; and simulating the magnetic transformer based on the target transformer simulation model to obtain the inductive parasitic parameters.

[0007] In this embodiment of the invention, a target transformer simulation model of a magnetic transformer is constructed based on preset simulation software and three-dimensional structural parameters, including: constructing an initial transformer simulation model based on preset simulation software and three-dimensional structural parameters; adding the coil material parameters, coil turns parameters, and excitation current parameters of the magnetic transformer to the initial transformer simulation model to obtain the target transformer simulation model.

[0008] In this embodiment of the invention, the magnetic transformer is simulated based on the target transformer simulation model to obtain inductive parasitic parameters. This includes: controlling the target transformer simulation model to run the simulation based on a preset simulation frequency to simulate the magnetic transformer and obtain inductive parasitic parameters.

[0009] In this embodiment of the invention, controlling the operation of the magnetic transformer and measuring the capacitive parasitic parameters of the magnetic transformer includes: controlling the primary winding of the magnetic transformer to be in a short-circuit state; controlling the operation of the magnetic transformer and measuring the parasitic capacitance parameters between the primary windings.

[0010] In this embodiment of the invention, controlling the actual operation of the magnetic transformer and measuring the capacitive parasitic parameters of the magnetic transformer includes: controlling the primary and secondary windings of the magnetic transformer to be in a short-circuit and common-ground state; controlling the operation of the magnetic transformer to obtain the coupling capacitance parameters of the primary and secondary windings.

[0011] In this embodiment of the invention, controlling the operation of a magnetic transformer to obtain the primary and secondary coupling capacitor parameters includes: controlling the operation of the magnetic transformer, measuring the insertion loss and operating frequency of the magnetic transformer; and obtaining the primary and secondary coupling capacitor parameters based on the insertion loss and operating frequency.

[0012] According to another aspect of the present invention, an apparatus for obtaining parasitic parameters of a magnetic transformer is also provided, comprising: a simulation module for simulating the magnetic transformer using preset simulation software to obtain inductive parasitic parameters of the magnetic transformer, wherein the inductive parasitic parameters include at least one of the following: magnetizing inductance parameters and leakage inductance parameters of the magnetic transformer; a measurement module for controlling the operation of the magnetic transformer and measuring the capacitive parasitic parameters of the magnetic transformer, wherein the capacitive parasitic parameters include at least one of the following: parasitic capacitance parameters between the primary windings and coupling capacitance parameters of the primary and secondary windings of the magnetic transformer; a construction module for constructing an equivalent model of parasitic parameters of the magnetic transformer based on the inductive parasitic parameters and the capacitive parasitic parameters; and a determination module for obtaining target parasitic parameters of the magnetic transformer based on the equivalent model of parasitic parameters, wherein the target parasitic parameters represent the parasitic parameters of the magnetic transformer when operating at a target operating frequency, the target operating frequency being greater than a preset operating frequency.

[0013] According to another aspect of the present invention, an electronic device is also provided, comprising: a memory storing an executable program; and a processor for running the program, wherein the program executes the methods of various embodiments of the present invention during runtime.

[0014] According to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is executed, it controls the device where the computer-readable storage medium is located to perform the methods of various embodiments of the present invention.

[0015] According to another aspect of the present invention, a computer program product is also provided, including a computer program that, when executed by a processor, implements the methods of various embodiments of the present invention.

[0016] According to another aspect of the present invention, a computer program product is also provided, including a non-volatile computer-readable storage medium storing a computer program that, when executed by a processor, implements the methods of various embodiments of the present invention.

[0017] According to another aspect of the present invention, a computer program is also provided, which, when executed by a processor, implements the methods of the various embodiments of the present invention.

[0018] In this embodiment of the invention, firstly, a magnetic transformer is simulated using pre-set simulation software to obtain its inductive parasitic parameters. These inductive parasitic parameters include at least one of the following: the magnetizing inductance parameter and the leakage inductance parameter of the magnetic transformer. Next, the magnetic transformer is controlled to operate, and its capacitive parasitic parameters are measured. These capacitive parasitic parameters include at least one of the following: the parasitic capacitance parameter between the primary windings and the coupling capacitance parameter between the primary and secondary windings of the magnetic transformer. Then, based on the inductive and capacitive parasitic parameters, an equivalent model of the parasitic parameters of the magnetic transformer is constructed. Finally, based on the equivalent model, the target parasitic parameters of the magnetic transformer are obtained. These target parasitic parameters represent the parasitic parameters of the magnetic transformer when operating at a target operating frequency, which is greater than a pre-set operating frequency. This application, through a strategy that integrates simulation and actual measurement, uses pre-set simulation software to simulate the magnetic transformer, accurately capturing its inductive parasitic parameters. The software simulation compensates for the shortcomings of traditional theoretical calculations in frequency response analysis, ensuring accurate evaluation of the inductive parasitic parameters under high-frequency conditions. Next, the magnetic transformer can be controlled to operate in a real-world environment, allowing for simple and accurate measurement of its capacitive parasitic parameters. Finally, the simulated inductive parasitic parameters are integrated with the measured capacitive parasitic parameters to construct an equivalent model of the magnetic transformer's parasitic parameters. This equivalent model can dynamically predict parameters based on the target operating frequency, significantly improving the accuracy of obtaining the magnetic transformer's parasitic parameters and thus solving the technical problem of low accuracy in obtaining these parameters in related technologies. Attached Figure Description

[0019] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0020] Figure 1 This is a flowchart of a method for obtaining parasitic parameters of a magnetic transformer according to an embodiment of the present invention;

[0021] Figure 2 This is a schematic diagram of a device for obtaining parasitic parameters of a magnetic transformer according to an embodiment of the present invention;

[0022] Figure 3 This is a schematic diagram illustrating an optional process for obtaining parasitic parameters of a magnetic transformer according to an embodiment of the present invention. Detailed Implementation

[0023] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0024] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0025] According to one aspect of the present invention, a method for obtaining parasitic parameters of a magnetic transformer is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0026] Figure 1 This is a flowchart of a method for obtaining parasitic parameters of a magnetic transformer according to an embodiment of the present invention, such as... Figure 1 As shown, the method includes the following steps:

[0027] Step S102: Using preset simulation software, the magnetic transformer is simulated to obtain the inductive parasitic parameters of the magnetic transformer.

[0028] Among them, the inductive parasitic parameters include at least one of the following: the magnetizing inductance parameter and the leakage inductance parameter of the magnetic transformer.

[0029] The aforementioned preset simulation software can refer to pre-determined software used to simulate and analyze the electromagnetic characteristics of magnetic transformers, and can be determined according to actual needs.

[0030] The aforementioned magnetic transformer can refer to a magnetic device used in a circuit to transform voltage, current, or impedance. A magnetic transformer can consist of a magnetic core and at least two sets of coils or windings wound around the magnetic core, enabling the transmission and conversion of electrical power.

[0031] The aforementioned inductive parasitic parameters refer to a series of non-ideal inductive characteristics of a magnetic transformer under high-frequency conditions due to the magnetic field effect, which may include magnetizing inductance parameters and leakage inductance parameters.

[0032] The aforementioned excitation inductance parameter can refer to the inductance corresponding to the magnetic field energy stored in the magnetic core when the magnetic transformer is energized, that is, when a magnetic field is generated by applying voltage through the windings.

[0033] The aforementioned leakage inductance parameter refers to the leakage inductance in a magnetic transformer, where, due to the lack of coupling between coils or between a coil and a magnetic core, a portion of the magnetic flux cannot pass through the entire transformer and instead forms a local magnetic circuit on the primary or secondary side.

[0034] In one optional embodiment, pre-set simulation software can be used to numerically simulate the inductive parasitic parameters of a magnetic transformer under high-frequency conditions. Specifically, three-dimensional structural parameters of the magnetic transformer can be prepared, including but not limited to the geometry of the magnetic core, the layout and size of the coils, and material properties such as permeability and conductivity. Then, appropriate boundary conditions and excitation sources can be set using the pre-set simulation software; for example, the number of turns of the coil and the direction of the excitation current can be specified. During the simulation, an air box can be created to simulate the external environment, ensuring the correct distribution of magnetic field energy and avoiding interference from edge effects. By adjusting the size of the air box, the simulation area can cover the main magnetic field distribution around the transformer, avoiding resource waste and improving the efficiency and accuracy of the simulation. After running the simulation, the pre-set simulation software can output a series of data, including inductive parasitic parameters such as magnetizing inductance parameters and leakage inductance parameters.

[0035] In the above process, the magnetic transformer is simulated using pre-set simulation software. The simulation steps provide more accurate inductive parasitic parameters. The simulation takes into account the complexity of the magnetic transformer structure and the influence of nonlinear material characteristics. The accurate inductive parasitic parameters obtained help users consider these non-ideal factors in the early stages of magnetic transformer circuit design. For example, the resonant point can be designed and adjusted in advance to avoid electromagnetic interference problems in practical applications, thereby significantly improving the efficiency of circuit design and product performance.

[0036] Step S104: Control the operation of the magnetic transformer and measure the capacitive parasitic parameters of the magnetic transformer.

[0037] Among them, capacitive parasitic parameters include at least one of the following: parasitic capacitance parameters between the primary windings of the magnetic transformer and primary-secondary coupling capacitance parameters.

[0038] The aforementioned capacitive parasitic parameters can refer to the non-ideal capacitive characteristics that appear in magnetic transformers at high frequencies, and can include parasitic capacitance parameters between primary windings and coupling capacitance parameters between primary and secondary windings.

[0039] The parasitic capacitance parameters between the primary windings mentioned above can refer to the capacitance effect parameters formed between the primary windings or coils due to the presence of insulating materials.

[0040] The aforementioned primary and secondary coupling capacitance parameters refer to the capacitance effect between the primary and secondary windings, which is more significant at high frequencies.

[0041] In one alternative embodiment, the capacitive parasitic parameters of the transformer can be obtained by actually operating the magnetic transformer and using measuring equipment. These parameters may include parasitic capacitance between the primary windings and coupling capacitance between the primary and secondary windings. For measuring the parasitic capacitance between the primary windings, the primary windings can be short-circuited to eliminate interference from coil resistance and inductance, ensuring that the measured result primarily reflects the capacitive effect between the windings. Using an impedance analyzer and setting an appropriate test frequency, the equivalent capacitance between the primary windings can be accurately measured. For measuring the coupling capacitance between the primary and secondary windings, copper wire and an antenna interface socket can be used to short-circuit the potential points of the primary and secondary windings and ground them to create an equipotential environment. This allows the capacitive coupling between the primary and secondary windings to be directly measured without being affected by other circuit components. Then, by measuring the transformer's insertion loss using a network analyzer and calculating using formulas, the coupling capacitance parameters between the primary and secondary windings can be obtained, thus yielding the capacitive parasitic parameters of the magnetic transformer.

[0042] In the above process, capacitive parasitic parameters obtained through actual operational testing have high accuracy and reliability, and can truly reflect the actual behavior of the transformer in high-frequency circuits. Accurate parasitic capacitance parameters enable users to more precisely predict and control common-mode interference in the circuit, reduce the risk of electromagnetic interference, and improve the stability and reliability of the circuit. This combination of simulation and testing ensures the accuracy of parameter prediction during the magnetic transformer design phase, simplifies the later debugging and verification steps, and improves the efficiency of magnetic transformer circuit development.

[0043] Step S106: Based on the inductive parasitic parameters and the capacitive parasitic parameters, construct an equivalent model of the parasitic parameters of the magnetic transformer.

[0044] The aforementioned parasitic parameter equivalent model refers to a set of equivalent inductance, resistance, and capacitance values ​​that simplify the complex electromagnetic characteristics of a magnetic transformer at high frequencies into a circuit model, facilitating circuit analysis and design. This parasitic parameter equivalent model helps users predict the transformer's behavior in high-frequency circuits during the design phase, guiding circuit design and reducing the workload of later debugging and modifications.

[0045] In one alternative embodiment, an equivalent model of the parasitic parameters of the magnetic transformer can be constructed based on inductive and capacitive parasitic parameters. This process can be performed in circuit simulation software by converting the three-dimensional structural information of the magnetic transformer into component parameters in a two-dimensional circuit model, thus achieving a mapping from the physical model to the circuit model. Specifically, the user can create a blank circuit model in the circuit simulation software, and then add corresponding ideal inductive components, which may include magnetizing inductance and leakage inductance, and ideal capacitive components, which may include parasitic capacitance, based on the inductive and capacitive parasitic parameters obtained from simulation and testing, and set the corresponding parameter settings. Other non-ideal factors such as resistance can also be considered, thereby constructing an equivalent model of the parasitic parameters of the magnetic transformer.

[0046] In the above process, constructing an equivalent model of parasitic parameters allows users to predict parasitic parameters of the magnetic transformer at high frequencies, such as resonant frequency and electromagnetic interference sensitivity, by considering non-ideal parameters like inductive and capacitive parasitic parameters during circuit simulation. This helps in taking measures to improve circuit layout and select appropriate components in the early design stages, thereby reducing performance problems caused by parasitic parameters later on.

[0047] Step S108: Based on the parasitic parameter equivalent model, the target parasitic parameters of the magnetic transformer are obtained.

[0048] Among them, the target parasitic parameters are used to represent the parasitic parameters of the magnetic transformer when it is running at a target operating frequency, which is greater than the preset operating frequency.

[0049] The aforementioned target parasitic parameters can refer to the parasitic parameter values ​​exhibited by the magnetic transformer at a specific target operating frequency.

[0050] The aforementioned target operating frequency can refer to the operating frequency of the magnetic transformer determined by the user according to actual needs. It can be higher than the preset operating frequency and be in the high-frequency range. The user needs to obtain the parasitic parameters of the magnetic transformer at the target operating frequency.

[0051] The aforementioned preset operating frequency can refer to a pre-set operating frequency parameter, which can be determined according to actual needs.

[0052] In one optional embodiment, after constructing an equivalent model of the parasitic parameters of the magnetic transformer, the target parasitic parameters at the target operating frequency can be obtained through this model. This process can be completed in circuit simulation software, leveraging the analytical capabilities of the software to simulate and predict the behavior of the magnetic transformer under specific operating conditions. Specifically, the user can use the target operating frequency as an input condition and, through the software's dynamic analysis functions, such as transient analysis or AC analysis, calculate the behavior of the circuit at the target operating frequency using the equivalent model of the parasitic parameters, thereby extracting the corresponding target parasitic parameters. The target parasitic parameters can be the actual values ​​of the magnetizing inductance, leakage inductance, parasitic capacitance between the primary windings, and primary-secondary coupling capacitance exhibited by the magnetic transformer at the target operating frequency of interest to the user. These parameters reflect the true electrical performance of the magnetic transformer at high-frequency operation and contribute to the improvement of the magnetic transformer circuit design.

[0053] In the above process, users can obtain the parasitic parameters of the magnetic transformer at the target operating frequency, which helps to make targeted improvements during the circuit design stage of the magnetic transformer and avoid circuit performance degradation caused by parasitic parameters. Accurate acquisition of target parasitic parameters enables users to adjust the circuit layout of the magnetic transformer and select appropriate components, thereby improving the overall performance of the circuit, including but not limited to signal integrity, noise suppression capability, and energy efficiency ratio.

[0054] In this embodiment of the invention, firstly, a magnetic transformer is simulated using pre-set simulation software to obtain its inductive parasitic parameters. These inductive parasitic parameters include at least one of the following: the magnetizing inductance parameter and the leakage inductance parameter of the magnetic transformer. Next, the magnetic transformer is controlled to operate, and its capacitive parasitic parameters are measured. These capacitive parasitic parameters include at least one of the following: the parasitic capacitance parameter between the primary windings and the coupling capacitance parameter between the primary and secondary windings of the magnetic transformer. Then, based on the inductive and capacitive parasitic parameters, an equivalent model of the parasitic parameters of the magnetic transformer is constructed. Finally, based on the equivalent model, the target parasitic parameters of the magnetic transformer are obtained. These target parasitic parameters represent the parasitic parameters of the magnetic transformer when operating at a target operating frequency, which is greater than a pre-set operating frequency. This application, through a strategy that integrates simulation and actual measurement, uses pre-set simulation software to simulate the magnetic transformer, accurately capturing its inductive parasitic parameters. The software simulation compensates for the shortcomings of traditional theoretical calculations in frequency response analysis, ensuring accurate evaluation of the inductive parasitic parameters under high-frequency conditions. Next, the magnetic transformer can be controlled to operate in a real-world environment, allowing for simple and accurate measurement of its capacitive parasitic parameters. Finally, the simulated inductive parasitic parameters are integrated with the measured capacitive parasitic parameters to construct an equivalent model of the magnetic transformer's parasitic parameters. This equivalent model can dynamically predict parameters based on the target operating frequency, significantly improving the accuracy of obtaining the magnetic transformer's parasitic parameters and thus solving the technical problem of low accuracy in obtaining these parameters in related technologies.

[0055] In this embodiment of the invention, a magnetic transformer is simulated using preset simulation software to obtain the inductive parasitic parameters of the magnetic transformer. This includes: obtaining the three-dimensional structural parameters of the magnetic transformer; constructing a target transformer simulation model of the magnetic transformer based on the preset simulation software and the three-dimensional structural parameters; and simulating the magnetic transformer based on the target transformer simulation model to obtain the inductive parasitic parameters.

[0056] The aforementioned three-dimensional structural parameters can refer to the geometric parameters used to describe the physical form of the magnetic transformer. These parameters may include the shape and size of the magnetic core, the arrangement of the coils, the number and diameter of the winding layers, the diameter and material properties of the coil conductors, such as the diameter of the copper wire, the thickness of the insulation layer, and the permeability curve of the ferrite core. These parameters can be determined according to actual needs.

[0057] The aforementioned target transformer simulation model can refer to a virtual model created in preset simulation software, which can be used to simulate and analyze the behavior of magnetic transformers under high-frequency conditions.

[0058] In one alternative embodiment, three-dimensional structural parameters can be imported into pre-defined simulation software, providing the geometry of the magnetic transformer. Then, based on the specifications of the magnetic ring ferrite material and coil material, properties such as permeability, conductivity, and density can be added to the software's material library and correctly assigned to the corresponding parts in the model. Tools in the pre-defined simulation software can be used to set the number of coil turns, the direction and magnitude of the excitation current, and the frequency of the excitation source to simulate the actual operating conditions of the magnetic transformer. Tools can be used to create an airbox, setting an appropriate size to contain the magnetic transformer and its surrounding environment, ensuring accurate calculation of magnetic field energy. Tools and functions in the pre-defined simulation software, such as the eddy current solver, can be used to precisely set boundary conditions and excitation sources to simulate the electromagnetic behavior of the magnetic transformer at high frequencies, and inductive parasitic parameters can be obtained.

[0059] In the above process, by constructing and simulating a target transformer model, users can predict and evaluate the magnetizing inductance and leakage inductance parameters of the magnetic transformer under high-frequency conditions. The simulation method based on the target transformer simulation model can more accurately capture the nonlinear effects of magnetic materials and the complex influence of winding layout, thus providing more reliable inductive parasitic parameters.

[0060] In this embodiment of the invention, a target transformer simulation model of a magnetic transformer is constructed based on preset simulation software and three-dimensional structural parameters, including: constructing an initial transformer simulation model based on preset simulation software and three-dimensional structural parameters; adding the coil material parameters, coil turns parameters, and excitation current parameters of the magnetic transformer to the initial transformer simulation model to obtain the target transformer simulation model.

[0061] The aforementioned coil material parameters can include the conductivity and resistivity of the conductor, as well as the dielectric constant and loss factor of the surrounding insulating material. Conductivity and resistivity affect the coil's resistance, while the dielectric constant and loss factor of the insulating material are related to the parasitic capacitance and energy loss between coils.

[0062] The above-mentioned coil turns parameter refers to the number of times the wire is wound in the coil. The number of turns can affect the voltage ratio and frequency response characteristics of the transformer.

[0063] The excitation current parameters mentioned above refer to the magnitude and frequency of the current applied to the transformer coil, which can affect the operating point of the magnetic transformer and the strength of the electromagnetic field.

[0064] In one alternative embodiment, an initial transformer model, including the geometry of the magnetic core and coils, can be created based on preset simulation software and detailed three-dimensional structural parameters. This ensures that the basic framework of the initial transformer model matches that of a real magnetic transformer. Subsequently, the initial transformer simulation model can be further refined by inputting coil material parameters, coil turns parameters, and excitation current parameters, adjusting the physical properties and operating conditions of the initial transformer simulation model to more closely resemble the magnetic transformer in actual applications. Users can assign coil material parameters, coil turns parameters, and excitation current parameters to the corresponding parts of the initial transformer simulation model through the graphical interface or scripting language of the preset simulation software, ensuring that the simulation results of the resulting target transformer simulation model accurately reflect the electromagnetic behavior of the actual transformer.

[0065] In the above process, by importing coil material parameters, coil turns parameters, and excitation current parameters into the initial transformer simulation model, a target transformer simulation model can be constructed, which can significantly improve the confidence level of the simulation. The obtained target transformer simulation model can predict the magnetizing inductance and leakage inductance of the magnetic transformer at different frequencies, and can capture more nonlinear effects and details in actual design, such as the characteristics of material properties changing with frequency and the coupling effect caused by winding layout, thereby helping users improve circuit design and reduce performance problems caused by high-frequency parasitic parameters.

[0066] In this embodiment of the invention, the magnetic transformer is simulated based on the target transformer simulation model to obtain inductive parasitic parameters. This includes: controlling the target transformer simulation model to run the simulation based on a preset simulation frequency to simulate the magnetic transformer and obtain inductive parasitic parameters.

[0067] The aforementioned preset simulation frequency can refer to the frequency set during the simulation process. It can be used to analyze the electromagnetic behavior of the magnetic transformer at that specific frequency. The preset simulation frequency can be determined according to actual needs.

[0068] In one optional embodiment, after constructing the target transformer simulation model, a preset simulation frequency can be set to control the simulation operation of the target transformer simulation model. In the simulation software, the preset simulation frequency is input using the parameter setting panel. A series of frequency points can also be set to form a frequency scan, observing the changing trend of inductive parasitic parameters with frequency. After starting the simulation of the target transformer simulation model, calculations can be performed by the simulation software based on the set frequency points and the model parameters of the target transformer simulation model. In high-frequency simulations, the frequency dependence of materials can be considered through the simulation software, such as the change in permeability of ferrite cores with frequency, as well as other nonlinear effects. After the simulation is completed, the magnetizing inductance and leakage inductance parameters can be extracted from the simulation results. The magnetizing inductance and leakage inductance parameters can be displayed in the output report of the simulation software and can be used for further circuit analysis and design improvement.

[0069] In the above process, by running simulations based on preset simulation frequencies, the inductive parasitic parameters of the magnetic transformer under specific operating conditions can be obtained. This allows users to predict and improve the behavior of the magnetic transformer during the circuit design phase based on the actual operating frequency, avoiding performance degradation caused by high-frequency effects, such as excessive signal attenuation, unexpected resonance peaks, or electromagnetic interference problems. Setting preset simulation frequencies also helps to discover design flaws or potential problems. For example, if the target transformer simulation model shows abnormal leakage inductance or magnetizing inductance values ​​at a certain frequency, users can modify the coil winding method or material selection to ensure that the parasitic parameters predicted by the target transformer simulation model meet the design requirements.

[0070] In this embodiment of the invention, controlling the operation of the magnetic transformer and measuring the capacitive parasitic parameters of the magnetic transformer includes: controlling the primary winding of the magnetic transformer to be in a short-circuit state; controlling the operation of the magnetic transformer and measuring the parasitic capacitance parameters between the primary windings.

[0071] In one alternative embodiment, the parasitic capacitance parameters between the primary windings of a magnetic transformer can be measured. Specifically, the windings of the magnetic transformer can be short-circuited first, which can be achieved by directly connecting the two ends of the primary winding with a wire. In practice, a low-impedance conductor, such as copper wire, can be used to connect the two pins of the primary winding to form a short circuit, thus making the winding itself a conductor with low impedance. At this time, the influence of the winding's self-inductance and resistance on the measurement can be ignored. Subsequently, an impedance analyzer can be used for measurement. An impedance analyzer can measure the impedance of a circuit at different frequencies, including combinations of resistance, inductance, and capacitance. When measuring parasitic capacitance, the impedance analyzer can be set to capacitance measurement mode and scanned within a certain frequency range. Since the primary windings are short-circuited, the impedance analyzer mainly measures the parasitic capacitance existing between the primary windings, that is, the additional capacitance effect formed between the primary windings due to electric field coupling when a high-frequency signal passes through the primary windings, thus obtaining the parasitic capacitance parameters between the primary windings.

[0072] In the above process, after the primary winding of the magnetic transformer is short-circuited, the measured signal is no longer affected by the winding's self-inductance and resistance, making the measurement of parasitic capacitance more accurate and improving the accuracy and reliability of the data. Short-circuiting can be achieved through a simple physical connection, eliminating the need for complex circuit construction, saving time and cost, and reducing potential sources of error in the measurement process. Accurately measured parasitic capacitance parameters allow users to better understand the transformer's behavior at high frequencies, thereby improving circuit design, reducing resonance problems or signal attenuation caused by parasitic capacitance, and enhancing the overall performance of the magnetic transformer.

[0073] In this embodiment of the invention, controlling the actual operation of the magnetic transformer and measuring the capacitive parasitic parameters of the magnetic transformer includes: controlling the primary and secondary windings of the magnetic transformer to be in a short-circuit and common-ground state; controlling the operation of the magnetic transformer to obtain the coupling capacitance parameters of the primary and secondary windings.

[0074] The aforementioned short-circuit and common-ground state refers to directly connecting the primary and secondary windings of the magnetic transformer through a conductor to create a zero voltage difference, while ensuring that these points are connected to the reference ground in the circuit at the same potential level. When measuring the coupling capacitance parameters between the primary and secondary windings of the transformer, the primary and secondary windings are short-circuited, meaning that the two terminals are connected by a low-impedance conductor. The common-ground state ensures that the windings and the circuit ground maintain a consistent potential reference, eliminating the influence of ground potential difference and making the measurement more accurate.

[0075] In one optional embodiment, to control the primary and secondary windings of the magnetic transformer to be short-circuited and grounded, a wire can be used to short-circuit the two terminals of the primary winding and the two terminals of the secondary winding respectively, ensuring that the two windings are electrically considered to be the same node. This eliminates the influence of the windings themselves and external circuits, focusing on measuring the capacitive coupling between the primary and secondary windings. An antenna interface socket or other suitable connection method can be used to connect the primary and secondary windings to the circuit ground, ensuring that there is no potential difference between the windings and ground during the measurement process, avoiding the influence of ground loop effects on the measurement results. After the above conditions are met, a network analyzer can be used for measurement. The network analyzer can provide accurate frequency response analysis, and by measuring the insertion loss value at a specific frequency, the parameters of the coupling capacitance between the primary and secondary windings can be calculated according to the formula.

[0076] In the above process, the short-circuit and common-ground state eliminates the influence of the winding itself and other non-critical circuit elements on the measurement, ensuring accurate measurement of the coupling capacitance between the primary and secondary sides. By directly establishing a short-circuit connection and ensuring a common ground, the construction and adjustment of complex circuits are avoided, reducing the difficulty and time required for testing. Obtaining accurate coupling capacitance parameters helps users to consider and handle coupling effects in advance at the circuit level, improving the overall performance of the magnetic transformer circuit.

[0077] In this embodiment of the invention, controlling the operation of a magnetic transformer to obtain the primary and secondary coupling capacitor parameters includes: controlling the operation of the magnetic transformer, measuring the insertion loss and operating frequency of the magnetic transformer; and obtaining the primary and secondary coupling capacitor parameters based on the insertion loss and operating frequency.

[0078] The aforementioned insertion loss can refer to a parameter used to measure the signal transmission quality in a magnetic transformer circuit. When measuring the coupling capacitance parameters of the primary and secondary sides of the transformer, the insertion loss can reflect the degree of energy loss of the signal when passing through the magnetic transformer, and is related to capacitive coupling.

[0079] The aforementioned operating frequency can refer to the frequency at which the signal source drives the transformer to operate during the measurement process.

[0080] In an optional embodiment, the frequency point or range matching the actual application can be selected using the frequency setting function of a network analyzer to drive the transformer for testing. This ensures that the primary and secondary windings are short-circuited and grounded, eliminating interference from other factors and focusing on the measurement of the coupling capacitance. The insertion loss of the magnetic transformer can be measured using a network analyzer. The measurement of insertion loss provides information on energy loss during signal transmission within the magnetic transformer, indirectly reflecting the size and characteristics of the coupling capacitance. Then, using the measured insertion loss and operating frequency, the parameters of the primary and secondary coupling capacitance are calculated according to the corresponding formulas or models. This calculation process can employ numerical analysis methods to transform the relationship between insertion loss and operating frequency into primary and secondary coupling capacitance parameters.

[0081] In the above process, by measuring the insertion loss and operating frequency, the parameters of the primary and secondary coupling capacitors can be accurately obtained. By measuring and analyzing the parameters of the primary and secondary coupling capacitors, users can take measures to reduce electromagnetic interference and improve the stability of the circuit.

[0082] According to another aspect of the present invention, a device for obtaining parasitic parameters of a magnetic transformer is also provided. This device can execute the method for obtaining parasitic parameters of a magnetic transformer as described in the above embodiments. The specific implementation method and preferred application scenarios are the same as those described in the above embodiments, and will not be repeated here.

[0083] Figure 2 This is a schematic diagram of a device for obtaining parasitic parameters of a magnetic transformer according to an embodiment of this application, as shown below. Figure 2 As shown, the device includes the following: simulation module 202, measurement module 204, construction module 206, and determination module 208.

[0084] The simulation module 202 is used to simulate the magnetic transformer using preset simulation software to obtain the inductive parasitic parameters of the magnetic transformer. The inductive parasitic parameters include at least one of the following: the magnetizing inductance parameter and the leakage inductance parameter of the magnetic transformer. The measurement module 204 is used to control the operation of the magnetic transformer and measure the capacitive parasitic parameters of the magnetic transformer. The capacitive parasitic parameters include at least one of the following: the parasitic capacitance parameter between the primary windings of the magnetic transformer and the coupling capacitance parameter between the primary and secondary windings. The construction module 206 is used to construct an equivalent model of the parasitic parameters of the magnetic transformer based on the inductive parasitic parameters and the capacitive parasitic parameters. The determination module 208 is used to obtain the target parasitic parameters of the magnetic transformer based on the equivalent model of the parasitic parameters. The target parasitic parameters represent the parasitic parameters of the magnetic transformer when it is running at a target operating frequency, which is greater than the preset operating frequency.

[0085] The simulation module is also used to obtain the three-dimensional structural parameters of the magnetic transformer; based on the preset simulation software and the three-dimensional structural parameters, a target transformer simulation model of the magnetic transformer is constructed; based on the target transformer simulation model, the magnetic transformer is simulated to obtain the inductive parasitic parameters.

[0086] The simulation module is also used to construct an initial transformer simulation model based on preset simulation software and three-dimensional structural parameters; the coil material parameters, coil turns parameters and excitation current parameters of the magnetic transformer are added to the initial transformer simulation model to obtain the target transformer simulation model.

[0087] The simulation module is also used to control the simulation model of the target transformer to run the simulation based on a preset simulation frequency, so as to simulate the magnetic transformer and obtain the inductive parasitic parameters.

[0088] The measurement module is also used to control the primary winding of the magnetic transformer to be in a short-circuit state; control the operation of the magnetic transformer; and measure the parasitic capacitance parameters between the primary windings.

[0089] The measurement module is also used to control the primary and secondary windings of the magnetic transformer to be in a short-circuit and common-ground state; and to control the operation of the magnetic transformer to obtain the coupling capacitance parameters of the primary and secondary windings.

[0090] The measurement module is also used to control the operation of the magnetic transformer, measure the insertion loss and operating frequency of the magnetic transformer, and obtain the primary and secondary coupling capacitance parameters based on the insertion loss and operating frequency.

[0091] The technical solution proposed in this application is described below with reference to an optional embodiment. This application proposes a method for modeling high-frequency parasitic parameters of magnetic devices. The proposed method for constructing an equivalent model of high-frequency parasitic parameters of magnetic devices can set the material properties, number of turns, and excitation current of the transformer coil digital model based on preset simulation software. By setting the simulation frequency to simulate the actual power frequency, the excitation inductance and leakage inductance of the transformer are obtained. The primary side of the transformer winding is short-circuited and the secondary side is open-circuited. The parasitic capacitance between the primary windings is measured using an impedance analyzer. The primary and secondary windings are grounded through an antenna interface socket. The insertion loss value between the primary and secondary windings is measured using a network analyzer. Then, the coupling capacitance between the primary and secondary windings is calculated, and a high-frequency parasitic parameter model of the transformer is built to obtain the parasitic parameters with higher accuracy.

[0092] For simulation, the eddy current solver in the preset simulation software is used to set the solution method for the transformer's magnetizing inductance and leakage inductance, and the 3D structure file is imported. To simulate the operating environment, an airbox can be manually created, with its size set in six directions. The airbox should not be too large or too small; if the simulation area is too large, the simulation time will increase; if it is too small, the magnetic field lines around the device will exceed the airbox's range, resulting in inaccurate simulation results. A size twice the size of the magnetic transformer can be selected. When setting the coil parameters, the primary coil in the digital model can be connected end-to-end, ensuring consistency with the magnetic transformer coil material. The number of coil turns and excitation current are set, and the excitation direction is changed to align with the current flow direction. The excitation is then added to the coil simulation. When setting the material, the ferrite permeability curve, density, hysteresis loss, and other properties are added to the material library according to the magnetic ring ferrite material specifications and set as the magnetic ring material. According to the coil material specifications, add the coil material parameters to the material library and set them as coil materials. In the magnetic circuit simulation, it is necessary to obtain the excitation inductance and leakage inductance results. An inductance matrix test tool can be set up, and the simulation frequency can be set according to the actual working conditions. Run the simulation and obtain the excitation inductance and leakage inductance simulation results. For testing, copper wire can be soldered to both ends of the transformer primary winding to short-circuit the transformer primary winding. Use an impedance analyzer and set the resistance, inductance, and capacitance models to measure the parasitic capacitance parameters between the primary and secondary windings. For measuring the coupling capacitance between the primary and secondary windings, according to the transformer working principle and the theory of primary and secondary parasitic capacitance generation, copper wire and antenna interface socket should be used to short-circuit the static potential points of the primary and secondary windings and ground them together. Then, the insertion loss of the transformer can be measured by a network analyzer, and the coupling capacitance parameters between the primary and secondary windings of the magnetic transformer can be calculated by combining the following formula.

[0093]

[0094] in, These can be parameters of the primary and secondary coupling capacitors. It could be insertion loss. It can be the operating frequency.

[0095] Finally, based on the principle of generating high-frequency parasitic parameters of transformers, an equivalent model of parasitic parameters of magnetic transformers is built, and the target parasitic parameters of magnetic transformers are further obtained.

[0096] Figure 3 This is a schematic diagram illustrating an optional process for obtaining parasitic parameters of a magnetic transformer according to an embodiment of the present invention, as shown below. Figure 3As shown, the process of obtaining parasitic parameters of a magnetic transformer begins with: acquiring the three-dimensional structural parameters of the magnetic transformer; constructing an initial transformer simulation model based on preset simulation software and the three-dimensional structural parameters; adding the coil material parameters, number of turns, and excitation current parameters of the magnetic transformer to the initial transformer simulation model to obtain the target transformer simulation model; controlling the target transformer simulation model to run the simulation based on a preset simulation frequency to simulate the magnetic transformer and obtain inductive parasitic parameters; controlling the primary winding of the magnetic transformer to be in a short-circuit state; controlling the operation of the magnetic transformer and measuring the parasitic capacitance parameters between the primary windings; controlling the operation of the magnetic transformer and measuring the insertion loss and operating frequency; obtaining the primary-secondary coupling capacitance parameters based on the insertion loss and operating frequency; constructing an equivalent model of the parasitic parameters of the magnetic transformer based on the inductive and capacitive parasitic parameters; obtaining the target parasitic parameters of the magnetic transformer based on the equivalent model.

[0097] The parasitic parameter extraction method proposed in this application combines simulation and testing. Through simulation, the magnetizing inductance and leakage inductance of the transformer are obtained; through actual measurement, the parasitic capacitance between the primary windings and the coupling capacitance between the primary and secondary windings are obtained. The simulation software converts the three-dimensional model parameters into a two-dimensional parasitic parameter model. This application outlines the parameter extraction method and simulation process. The example described in this application is a three-winding transformer, but it can also include high-frequency parasitic parameter extraction methods for other types of transformers, such as two-winding and multi-winding transformers.

[0098] Embodiments of this application also provide an electronic device, including: a memory storing an executable program; and a processor for running the program, wherein the program executes the methods in various embodiments of the present invention during runtime.

[0099] The aforementioned memory can refer to devices inside a computer used to store data and programs, including RAM, hard disks, etc. RAM can be used to temporarily store running programs and data, while hard disks can be used to store programs and data long-term. Memory enables the computer to read and write data and execute programs. The aforementioned processor is responsible for executing instructions in computer programs and performing data processing. It can also be responsible for controlling and executing various operations, including arithmetic operations, logical operations, and data transmission.

[0100] Embodiments of this application also provide a computer-readable storage medium including a stored executable program, wherein, when the executable program is running, it controls the device where the computer-readable storage medium is located to perform the methods of various embodiments of the present invention.

[0101] The aforementioned computer storage media can refer to the media used in computer memory to store certain discontinuous physical quantities. Computer storage media mainly include semiconductors, magnetic cores, magnetic drums, magnetic tapes, laser discs, etc. Computer-readable storage media include stored programs, which can be a set of instructions that a computer can recognize and execute, running on an electronic computer to meet certain information needs.

[0102] Embodiments of this application also provide a computer program product, including a computer program that, when executed by a processor, implements the methods of various embodiments of the present invention.

[0103] The aforementioned computer program products can refer to software programs that have been written, tested, and released, and can run on computers or other devices. Computer program products can include application programs, operating systems, utility software, etc., used to achieve specific functions or solve specific problems.

[0104] Embodiments of this application also provide a computer program product, including a non-volatile computer-readable storage medium for storing a computer program that, when executed by a processor, implements the methods in various embodiments of the present invention.

[0105] The aforementioned non-volatile computer-readable storage medium can refer to a medium for storing data. Non-volatile computer-readable storage media can retain data without loss when power is off and can be used to store long-term data, such as operating systems, applications, and user files. Non-volatile storage media can include hard disk drives, solid-state drives, optical disks, and flash memory storage devices, etc.

[0106] Embodiments of this application also provide a computer program that, when executed by a processor, implements the methods described in the various embodiments of the present invention.

[0107] The aforementioned computer program can refer to a set of instructions used to tell the computer to perform specific tasks or operations. Computer programs can be written by programmers using specific programming languages ​​and can include algorithms, data structures, logic, and control flow. Computer programs can be used for a variety of purposes, including application software, operating systems, etc.

[0108] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0109] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection can be through some interfaces; the indirect coupling or communication connection between units or modules can be electrical or other forms.

[0110] 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 units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0111] 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 unit can be implemented in hardware or as a software functional unit.

[0112] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0113] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for obtaining parasitic parameters of a magnetic transformer, characterized in that, include: Using preset simulation software, the magnetic transformer is simulated to obtain the inductive parasitic parameters of the magnetic transformer, wherein the inductive parasitic parameters include at least one of the following: the magnetizing inductance parameter and the leakage inductance parameter of the magnetic transformer; The operation of the magnetic transformer is controlled, and the capacitive parasitic parameters of the magnetic transformer are measured, wherein the capacitive parasitic parameters include at least one of the following: the parasitic capacitance parameter between the primary windings and the coupling capacitance parameter between the primary and secondary windings of the magnetic transformer; Based on the inductive parasitic parameters and the capacitive parasitic parameters, an equivalent model of the parasitic parameters of the magnetic transformer is constructed. Based on the parasitic parameter equivalent model, the target parasitic parameters of the magnetic transformer are obtained, wherein the target parasitic parameters are used to represent the parasitic parameters of the magnetic transformer when it operates at a target operating frequency, and the target operating frequency is greater than a preset operating frequency.

2. The method for obtaining parasitic parameters of a magnetic transformer according to claim 1, characterized in that, Using pre-set simulation software, the magnetic transformer is simulated to obtain its inductive parasitic parameters, including: Obtain the three-dimensional structural parameters of the magnetic transformer; Based on the preset simulation software and the three-dimensional structural parameters, a target transformer simulation model of the magnetic transformer is constructed. Based on the target transformer simulation model, the magnetic transformer is simulated to obtain the inductive parasitic parameters.

3. The method for obtaining parasitic parameters of a magnetic transformer according to claim 2, characterized in that, Based on the preset simulation software and the three-dimensional structural parameters, a target transformer simulation model of the magnetic transformer is constructed, including: Based on the preset simulation software and the three-dimensional structural parameters, an initial transformer simulation model is constructed; The coil material parameters, coil turns parameters, and excitation current parameters of the magnetic transformer are added to the initial transformer simulation model to obtain the target transformer simulation model.

4. The method for obtaining parasitic parameters of a magnetic transformer according to claim 2, characterized in that, Based on the target transformer simulation model, the magnetic transformer is simulated to obtain the inductive parasitic parameters, including: Based on a preset simulation frequency, the simulation model of the target transformer is controlled to run in simulation to simulate the magnetic transformer and obtain the inductive parasitic parameters.

5. The method for obtaining parasitic parameters of a magnetic transformer according to any one of claims 1 to 4, characterized in that, Controlling the operation of the magnetic transformer and measuring its capacitive parasitic parameters include: The primary winding of the magnetic transformer is controlled to be in a short-circuit state; Control the operation of the magnetic transformer and measure the parasitic capacitance parameters between the primary windings.

6. The method for obtaining parasitic parameters of a magnetic transformer according to any one of claims 1 to 4, characterized in that, Controlling the actual operation of the magnetic transformer and measuring its capacitive parasitic parameters include: The primary and secondary windings of the magnetic transformer are controlled to be in a short-circuit and common-ground state; The operation of the magnetic transformer is controlled to obtain the parameters of the primary and secondary coupling capacitors.

7. The method for obtaining parasitic parameters of a magnetic transformer according to claim 6, characterized in that, Controlling the operation of the magnetic transformer to obtain the parameters of the primary and secondary coupling capacitors includes: Control the operation of the magnetic transformer and measure its insertion loss and operating frequency. Based on the insertion loss and the operating frequency, the parameters of the primary and secondary side coupling capacitors are obtained.

8. A device for acquiring parasitic parameters of a magnetic transformer, characterized in that, include: The simulation module is used to simulate the magnetic transformer using preset simulation software to obtain the inductive parasitic parameters of the magnetic transformer, wherein the inductive parasitic parameters include at least one of the following: the magnetizing inductance parameter and the leakage inductance parameter of the magnetic transformer. A measurement module is used to control the operation of the magnetic transformer and measure the capacitive parasitic parameters of the magnetic transformer, wherein the capacitive parasitic parameters include at least one of the following: the parasitic capacitance parameter between the primary windings and the coupling capacitance parameter between the primary and secondary windings of the magnetic transformer; A construction module is used to construct an equivalent model of the parasitic parameters of the magnetic transformer based on the inductive parasitic parameters and the capacitive parasitic parameters; The determining module is used to obtain the target parasitic parameters of the magnetic transformer based on the parasitic parameter equivalent model, wherein the target parasitic parameters are used to represent the parasitic parameters of the magnetic transformer when it is running at a target operating frequency, and the target operating frequency is greater than a preset operating frequency.

9. An electronic device, characterized in that, include: Memory, which stores executable programs; A processor for running the program, wherein the program, when running, executes the method for obtaining parasitic parameters of a magnetic transformer according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored executable program, wherein, when the executable program is executed, it controls the device on which the storage medium is located to perform the method for obtaining parasitic parameters of a magnetic transformer as described in any one of claims 1 to 7.

11. A computer program product, characterized in that, The method includes computer instructions that, when executed by a processor, implement the method for obtaining parasitic parameters of a magnetic transformer according to any one of claims 1 to 7.

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