Method and system for predicting high-frequency magnetic hysteresis characteristics of soft magnetic material, and electronic device

Abstract

The present application relates to the technical field of soft magnetic material, and provides a high-frequency magnetic hysteresis characteristic prediction method and system of soft magnetic material and electronic equipment, comprising: obtaining physical parameters of the soft magnetic material and magnetic field parameters of a magnetic field where the soft magnetic material is located; inputting the physical parameters and the magnetic field parameters into a dynamic magnetic hysteresis model to obtain a predicted value of the magnetic field intensity corresponding to static magnetic hysteresis loss, a predicted value of the magnetic field intensity corresponding to eddy current loss under high-frequency excitation and a predicted value of the magnetic field intensity corresponding to abnormal loss; the dynamic magnetic hysteresis model predicts the magnetic field intensity corresponding to the static magnetic hysteresis loss based on the Preisach model, predicts the magnetic field intensity corresponding to the eddy current loss under the high-frequency excitation based on the constructed Maxwell equation set, and predicts the magnetic field intensity corresponding to the abnormal loss based on the magnetic domain theory. The present application is used to solve the defect that the magnetic hysteresis and loss characteristics of the material under the high-frequency condition cannot be accurately simulated simultaneously due to the fact that the formula of the magnetic field intensity corresponding to the eddy current loss considering the skin effect is not derived in the prior art.

Description

Technical Field

[0001] This invention relates to the field of soft magnetic materials technology, and in particular to a method, system and electronic device for predicting the high-frequency hysteresis characteristics of soft magnetic materials. Background Technology

[0002] Soft magnetic materials possess excellent properties such as high permeability and low loss, and are widely used in power equipment and electronic devices. As a core component of power equipment such as motors and transformers, the iron core is typically made of stacked silicon steel sheets and usually operates under sinusoidal excitation. However, in recent years, with the development of DC transmission technology and the widespread application of power electronic devices, iron cores are also frequently operating under high-frequency DC bias excitation. Increased bias and higher operating frequencies lead to a significant increase in iron core losses, thereby jeopardizing the safe and stable operation of the power system. Therefore, accurately calculating losses under high-frequency excitation is a prerequisite and foundation for optimizing electrical equipment design, and establishing a model for accurately calculating silicon steel sheet losses and simulating hysteresis characteristics under high-frequency excitation is of great significance.

[0003] There are two main traditional methods for calculating core losses: the empirical Steinmetz formula and the Bertotti loss separation model based on loss statistics theory. The Steinmetz formula is simple in form, and improved versions such as MSE, IGSE, WCSE, and ISE have been developed to calculate core losses under various complex excitations, including harmonics, high frequencies, and square waves. However, the Steinmetz formula lacks clear physical meaning, and the coefficients in the formula need to be adjusted according to changes in magnetic flux density and frequency, limiting its versatility.

[0004] Unlike the empirical Steinmetz formula, the Bertotti loss separation model divides the total loss into three parts: hysteresis loss, eddy current loss, and anomalous loss, and provides the physical meaning of each part. Many studies, based on the Bertotti loss separation model, use hysteresis models to calculate hysteresis loss to improve the accuracy of material loss calculations. Furthermore, based on the consistency between the loss separation principle and field separation techniques, dynamic hysteresis models are constructed to achieve accurate simulation of hysteresis characteristics. However, existing methods have not derived the formula for the magnetic field strength corresponding to eddy current loss considering the skin effect. Therefore, current research has not yet proposed a correct method to simultaneously achieve accurate simulation of material hysteresis and loss characteristics under high-frequency conditions. Summary of the Invention

[0005] This invention provides a method, system, and electronic device for predicting the high-frequency hysteresis characteristics of soft magnetic materials, which solves the defect in the prior art that the magnetic field strength formula corresponding to eddy current loss considering the skin effect is not derived, which makes it impossible to simultaneously achieve accurate simulation of the hysteresis and loss characteristics of materials under high-frequency conditions.

[0006] This invention provides a method for predicting the high-frequency hysteresis characteristics of soft magnetic materials, comprising:

[0007] Obtain the physical parameters of the soft magnetic material and the magnetic field parameters of the magnetic field where the soft magnetic material is located;

[0008] The physical parameters and the magnetic field parameters are input into the dynamic hysteresis model, and the dynamic hysteresis model outputs the predicted value of the magnetic field strength corresponding to the static hysteresis loss of the soft magnetic material, the predicted value of the magnetic field strength corresponding to the eddy current loss under high frequency excitation, and the predicted value of the magnetic field strength corresponding to the abnormal loss.

[0009] The dynamic hysteresis model predicts the magnetic field strength corresponding to the static hysteresis loss based on the Preisach model, predicts the magnetic field strength corresponding to the eddy current loss under high-frequency excitation based on the constructed Maxwell's equations, and predicts the magnetic field strength corresponding to the abnormal loss based on magnetic domain theory.

[0010] According to the high-frequency hysteresis characteristic prediction method for soft magnetic materials of the present invention, the magnetic field parameters include: the instantaneous magnetic flux density B varying with time, the value of the inverse Everett function E(B0, b0) corresponding to positive saturation, the rising and falling sequence m(t) corresponding to the magnetic field strength, and the inverse Everett function value E(B0, b0) corresponding to the local extrema of the rising and falling branches at j = 1, 2, ... m. j b j-1 ) and E(B j b j );

[0011] The dynamic hysteresis model predicts the magnetic field strength H corresponding to the static hysteresis loss based on a preset first formula. hy (B);

[0012] The preset first formula is:

[0013]

[0014] According to the high-frequency hysteresis characteristic prediction method for soft magnetic materials of the present invention, the physical parameters include: conductivity σ and thickness d; the magnetic field parameters include: magnetic field strength H of the alternating magnetic field applied outside the soft magnetic material. a (t) and the average magnetic field strength H(t) of the soft magnetic material;

[0015] The Maxwell equations constructed by the dynamic hysteresis model are as follows:

[0016]

[0017] The dynamic hysteresis model, based on a preset second formula, predicts the magnetic field strength H corresponding to the eddy current loss under the high-frequency excitation.cl (t);

[0018] The preset second formula is:

[0019] H cl (t)=H a (t)-H(t).

[0020] The method for predicting the high-frequency hysteresis characteristics of soft magnetic materials according to the present invention further includes:

[0021] When the soft magnetic material is in an unsaturated magnetization state, the dynamic hysteresis model outputs the predicted value of the magnetic field strength corresponding to the eddy current loss of the soft magnetic material in the unsaturated magnetization state.

[0022] The dynamic hysteresis model is based on the linear BH relationship of the soft magnetic material in the unsaturated magnetization state. It predicts the magnetic field strength corresponding to the eddy current loss of the soft magnetic material in the unsaturated magnetization state by using a preset third formula.

[0023] The preset third formula is:

[0024]

[0025] in,

[0026] Among them, H m It is the amplitude of the magnetic field strength; B m ζ is the magnetic flux density amplitude; K is the skin coefficient; ζ is related to the skin depth δ d The relevant initial phase angle; ω is the angular frequency; t is time; α is the lag angle.

[0027] The method for predicting the high-frequency hysteresis characteristics of soft magnetic materials according to the present invention further includes:

[0028] When the soft magnetic material is in a saturated magnetization state, the dynamic hysteresis model outputs the predicted value of the magnetic field strength corresponding to the eddy current loss of the soft magnetic material in the saturated magnetization state;

[0029] The dynamic hysteresis model is based on the BH relationship of the oblique step response of the soft magnetic material in the saturated magnetization state. It predicts the magnetic field strength corresponding to the eddy current loss of the soft magnetic material in the saturated magnetization state by using a preset fourth formula.

[0030] The preset fourth formula is:

[0031]

[0032] According to the high-frequency hysteresis characteristic prediction method for soft magnetic materials of the present invention, the material parameters include: cross-sectional area S; the magnetic field parameters include: magnetic flux density amplitude B. m and excitation frequency f;

[0033] The dynamic hysteresis model predicts the magnetic field strength corresponding to the abnormal loss based on a preset fifth formula.

[0034] The preset fifth formula is:

[0035]

[0036] Where G is a dimensionless coefficient; δ is ±1 and is related to the sign of dB / dt; V is the statistical parameter of abnormal loss and is related to B. m It is related to f.

[0037] This invention also provides a system for predicting the high-frequency hysteresis characteristics of soft magnetic materials, comprising:

[0038] The acquisition module is used to acquire the physical parameters of the soft magnetic material and the magnetic field parameters of the magnetic field where the soft magnetic material is located;

[0039] The processing module is used to input the physical parameters and the magnetic field parameters into the dynamic hysteresis model, and output the predicted value of the magnetic field strength corresponding to the static hysteresis loss of the soft magnetic material, the predicted value of the magnetic field strength corresponding to the eddy current loss under high frequency excitation, and the predicted value of the magnetic field strength corresponding to the abnormal loss from the dynamic hysteresis model.

[0040] The dynamic hysteresis model predicts the magnetic field strength corresponding to the static hysteresis loss based on the Preisach model, predicts the magnetic field strength corresponding to the eddy current loss under high-frequency excitation based on the constructed Maxwell's equations, and predicts the magnetic field strength corresponding to the abnormal loss based on magnetic domain theory.

[0041] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the high-frequency hysteresis characteristic prediction method for soft magnetic materials as described above.

[0042] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method for predicting the high-frequency hysteresis characteristics of soft magnetic materials as described above.

[0043] This invention provides a method, system, and electronic device for predicting the high-frequency hysteresis characteristics of soft magnetic materials. The method acquires the physical parameters of the soft magnetic material and the magnetic field parameters of the magnetic field containing the material. These parameters are then input into a dynamic hysteresis model, which outputs predicted values ​​for the magnetic field strength corresponding to static hysteresis loss, eddy current loss under high-frequency excitation, and abnormal loss. Specifically, the dynamic hysteresis model predicts the magnetic field strength corresponding to static hysteresis loss based on the Preisach model, the eddy current loss under high-frequency excitation based on a constructed Maxwell's equations, and the abnormal loss based on magnetic domain theory. Thus, based on the dynamic hysteresis model, accurate analysis of the spatiotemporal distribution of the internal magnetic field of the soft magnetic material under high-frequency excitation is achieved, along with accurate calculation of the material's loss under high-frequency excitation. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0045] Figure 1 This is a flowchart illustrating a method for predicting the high-frequency hysteresis characteristics of soft magnetic materials according to an embodiment of the present invention.

[0046] Figure 2 This is a schematic diagram of the structure of a soft magnetic material provided in an embodiment of the present invention;

[0047] Figure 3 This is a linear BH relationship diagram of the soft magnetic material in the unsaturated magnetization state provided in the embodiments of the present invention;

[0048] Figure 4 This is a BH relationship diagram of the oblique step response of the soft magnetic material in the saturated magnetization state provided in the embodiments of the present invention;

[0049] Figure 5 This is a schematic diagram of the structure of the dynamic hysteresis model provided in the embodiment of the present invention;

[0050] Figure 6 This is a comparison chart of the simulation results and measurement results of the hysteresis curve of soft magnetic materials obtained by the high-frequency hysteresis characteristic prediction method of soft magnetic materials provided in the embodiments of the present invention.

[0051] Figure 7 This is a schematic diagram of the structure of a high-frequency hysteresis characteristic prediction system for soft magnetic materials provided in an embodiment of the present invention;

[0052] Figure 8 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0053] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0054] The following is combined Figures 1 to 6 This invention describes a method for predicting the high-frequency hysteresis characteristics of soft magnetic materials. This method can be executed by software and / or hardware in electronic devices such as computers, tablets, and mobile phones. Figure 1 As shown, the method includes the following steps:

[0055] 101. Obtain the physical parameters of the soft magnetic material and the magnetic field parameters of the magnetic field where the soft magnetic material is located.

[0056] It is understandable that the physical parameters of soft magnetic materials can include the material's conductivity, density, dielectric constant, length, thickness, etc.; the magnetic field parameters of the magnetic field in which it is located can include the magnetic field strength, magnetic flux, magnetic induction intensity, etc.

[0057] Specifically, by obtaining the physical parameters of the soft magnetic material and its magnetic field parameters in a magnetic field, the hysteresis characteristics of the soft magnetic material can be predicted based on these physical and magnetic field parameters.

[0058] 102. Input the physical parameters and magnetic field parameters into the dynamic hysteresis model. The dynamic hysteresis model outputs the predicted magnetic field strength corresponding to the static hysteresis loss of the soft magnetic material, the predicted magnetic field strength corresponding to the eddy current loss under high frequency excitation, and the predicted magnetic field strength corresponding to the abnormal loss.

[0059] Among them, the dynamic hysteresis model predicts the magnetic field strength corresponding to static hysteresis loss based on the Preisach model, predicts the magnetic field strength corresponding to eddy current loss under high frequency excitation based on the constructed Maxwell equations, and predicts the magnetic field strength corresponding to abnormal loss based on magnetic domain theory.

[0060] Specifically, the dynamic hysteresis model can identify the model parameters of the Preisach model based on the quasi-static hysteresis loop cluster, and then calculate the static hysteresis loss and the corresponding magnetic field strength based on the Preisach model.

[0061] In one embodiment of the present invention, the magnetic field strength H corresponding to the static hysteresis loss is calculated using the Preisach model and a first preset formula, namely the following formula (1). hy (B):

[0062]

[0063] Where B is the instantaneous magnetic flux density that varies with time; E(B0, b0) corresponds to the value of the inverse Everett function at positive saturation; m(t) is the sequence of rising and falling magnetic field strengths; E(B j b j-1 ) and E(B j b j ) is the inverse Everett function value corresponding to the local extrema of the ascending and descending branches when j = 1, 2, ... m.

[0064] Meanwhile, the dynamic hysteresis model predicts the magnetic field strength corresponding to eddy current losses under high-frequency excitation based on the constructed Maxwell's equations.

[0065] Specifically, regarding such as Figure 2 The soft magnetic material shown is constructed using Maxwell's equations as follows:

[0066]

[0067] Where σ and d are the electrical conductivity and thickness of the material, respectively, and H a (t) represents the alternating magnetic field applied externally.

[0068] Furthermore, starting from Maxwell's equations and considering the eddy current field distribution under different magnetization states, the magnetic field strength H corresponding to the eddy current loss can be derived. cl The expression, i.e., the pre-defined second formula, is:

[0069] H cl (t)=H a (t)-H(t)(3)

[0070] Where H(t) is the average magnetic field strength of the soft magnetic material.

[0071] Furthermore, according to such Figure 3 The linear BH relationship of the soft magnetic material in the unsaturated magnetization state is shown. The dynamic hysteresis model can predict the magnetic field strength corresponding to the eddy current loss of the soft magnetic material in the unsaturated magnetization state by using a preset third formula, that is:

[0072]

[0073] The expressions for each parameter can be represented by the following formula 5, namely:

[0074]

[0075] Among them, H m It is the amplitude of the magnetic field strength; B m ζ is the magnetic flux density amplitude; K is the skin coefficient; ζ is related to the skin depth δ d The relevant initial phase angle; ω is the angular frequency; t is time; α is the lag angle.

[0076] According to such Figure 4 The BH relationship of the oblique step response of the soft magnetic material in the saturated magnetization state is shown. The dynamic hysteresis model can also predict the magnetic field strength corresponding to the eddy current loss of the soft magnetic material in the saturated magnetization state through a preset fourth formula, namely:

[0077]

[0078] More specifically, the dynamic hysteresis model can predict the magnetic field strength corresponding to abnormal losses based on a pre-defined fifth formula, namely:

[0079]

[0080] Where S is the cross-sectional area of ​​the material; G is a dimensionless coefficient; δ is ±1, related to the sign of dB / dt; V is the statistical parameter of abnormal loss, related to the magnetic flux density amplitude B. m It is related to the excitation frequency f.

[0081] Figure 5 This is a schematic diagram of the dynamic hysteresis model used in the high-frequency hysteresis characteristic prediction method for soft magnetic materials provided in this embodiment of the invention. Figure 6 The high-frequency hysteresis characteristic prediction method for soft magnetic materials provided in the above embodiments is presented, along with a comparison of the simulated and measured hysteresis loop results. Figure 6 As can be seen, the simulation results of the hysteresis loop obtained by the high-frequency hysteresis characteristic prediction method for soft magnetic materials provided in the embodiments of the present invention are basically consistent with the measurement results, thus fully verifying the accuracy of the high-frequency hysteresis characteristic prediction method for soft magnetic materials provided in the embodiments of the present invention.

[0082] In summary, the high-frequency hysteresis characteristic prediction method for soft magnetic materials provided in the above embodiments of this invention accurately identifies the Preisach model by using quasi-static hysteresis loop clusters, and proposes a method for calculating eddy current losses in soft magnetic materials under saturated and unsaturated magnetization states based on the spatiotemporal distribution law of the electromagnetic field within the soft magnetic material under alternating magnetic field excitation. By deriving the corresponding magnetic field strength expressions for eddy current losses and saturated and unsaturated magnetization, a physically meaningful high-frequency dynamic hysteresis model is established. Therefore, not only is the distribution of the internal magnetic field of the material under different magnetization states under high-frequency excitation analyzed, but a high-frequency dynamic hysteresis model considering the spatiotemporal distribution of the magnetic field is also presented, effectively improving the accuracy of the simulation results and making the simulation analysis of hysteresis characteristics more accurate and diverse.

[0083] Based on the same general inventive concept, this invention also protects a high-frequency hysteresis characteristic prediction system for soft magnetic materials. The high-frequency hysteresis characteristic prediction system for soft magnetic materials provided by this invention will be described below. The high-frequency hysteresis characteristic prediction system for soft magnetic materials described below can be referred to in correspondence with the high-frequency hysteresis characteristic prediction method for soft magnetic materials described above.

[0084] Figure 7 This is a schematic diagram of the high-frequency hysteresis characteristic prediction system for soft magnetic materials provided by the present invention. Figure 7 As shown, it includes: an acquisition module 710 and a processing module 720; wherein,

[0085] The acquisition module 710 is used to acquire the physical parameters of the soft magnetic material and the magnetic field parameters of the magnetic field where the soft magnetic material is located;

[0086] The processing module 720 is used to input physical parameters and magnetic field parameters into the dynamic hysteresis model, and output the predicted value of the magnetic field strength corresponding to the static hysteresis loss of the soft magnetic material, the predicted value of the magnetic field strength corresponding to the eddy current loss under high frequency excitation, and the predicted value of the magnetic field strength corresponding to the abnormal loss.

[0087] Among them, the dynamic hysteresis model predicts the magnetic field strength corresponding to static hysteresis loss based on the Preisach model, predicts the magnetic field strength corresponding to eddy current loss under high frequency excitation based on the constructed Maxwell equations, and predicts the magnetic field strength corresponding to abnormal loss based on magnetic domain theory.

[0088] The high-frequency hysteresis characteristic prediction system for soft magnetic materials provided in this invention acquires the physical parameters of the soft magnetic material and the magnetic field parameters of the magnetic field in which the soft magnetic material is located. Then, the physical and magnetic field parameters are input into a dynamic hysteresis model, which outputs predicted values ​​for the magnetic field strength corresponding to static hysteresis loss, eddy current loss under high-frequency excitation, and abnormal loss. Specifically, the dynamic hysteresis model predicts the magnetic field strength corresponding to static hysteresis loss based on the Preisach model, predicts the magnetic field strength corresponding to eddy current loss under high-frequency excitation based on a constructed Maxwell's equations, and predicts the magnetic field strength corresponding to abnormal loss based on magnetic domain theory. Therefore, based on the dynamic hysteresis model, accurate analysis of the spatiotemporal distribution of the internal magnetic field of the soft magnetic material under high-frequency excitation is achieved, as well as accurate calculation of the soft magnetic material loss under high-frequency excitation.

[0089] Optionally, the magnetic field parameters include: the instantaneous magnetic flux density B varying with time, the value of the inverse Everett function E(B0, b0) corresponding to positive saturation, the rising and falling sequence m(t) corresponding to the magnetic field strength, and the inverse Everett function value E(B0, b0) corresponding to the local extrema of the rising and falling branches at j = 1, 2, ... m. j b j-1 ) and E(B j b j );

[0090] The dynamic hysteresis model predicts the magnetic field strength corresponding to static hysteresis loss based on the preset first formula provided in the above embodiments.

[0091] Optionally, the physical parameters include: electrical conductivity σ and thickness d; the magnetic field parameters include: the magnetic field strength H of the alternating magnetic field applied outside the soft magnetic material. a (t) and the average magnetic field strength H(t) of the soft magnetic material;

[0092] The Maxwell equations constructed using the dynamic hysteresis model are as follows:

[0093]

[0094] The dynamic hysteresis model predicts the magnetic field strength corresponding to eddy current loss under high-frequency excitation based on the preset second formula provided in the above embodiments.

[0095] Optionally, when the soft magnetic material is in an unsaturated magnetization state, the dynamic hysteresis model outputs the predicted value of the magnetic field strength corresponding to the eddy current loss of the soft magnetic material in the unsaturated magnetization state.

[0096] The dynamic hysteresis model is based on the linear BH relationship of the soft magnetic material in the unsaturated magnetization state. It predicts the magnetic field strength corresponding to the eddy current loss of the soft magnetic material in the unsaturated magnetization state through the preset third formula provided in the above embodiment.

[0097] Optionally, when the soft magnetic material is in a saturated magnetization state, the dynamic hysteresis model outputs the predicted value of the magnetic field strength corresponding to the eddy current loss of the soft magnetic material in the saturated magnetization state;

[0098] Among them, the dynamic hysteresis model is based on the BH relationship of the oblique step response of soft magnetic materials in the saturated magnetization state. Through the preset fourth formula provided in the above embodiment, it predicts the magnetic field strength corresponding to the eddy current loss of soft magnetic materials in the saturated magnetization state.

[0099] Optionally, the material parameters include: cross-sectional area S; the magnetic field parameters include: magnetic flux density amplitude B. m and excitation frequency f;

[0100] The dynamic hysteresis model predicts the magnetic field strength corresponding to abnormal losses based on the preset fifth formula provided in the above embodiments.

[0101] Figure 8 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 8 As shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830, and a communication bus 840. The processor 810, communication interface 820, and memory 830 communicate with each other via the communication bus 840. The processor 810 can call logical instructions in the memory 830 to execute a method for predicting the high-frequency hysteresis characteristics of soft magnetic materials. This method includes: acquiring the physical parameters of the soft magnetic material and the magnetic field parameters of the magnetic field where the soft magnetic material is located; inputting the physical parameters and magnetic field parameters into a dynamic hysteresis model; and outputting predicted values ​​of the magnetic field strength corresponding to the static hysteresis loss, the eddy current loss under high-frequency excitation, and the abnormal loss based on the dynamic hysteresis model. Specifically, the dynamic hysteresis model predicts the magnetic field strength corresponding to the static hysteresis loss based on the Preisach model, predicts the magnetic field strength corresponding to the eddy current loss under high-frequency excitation based on the constructed Maxwell's equations, and predicts the magnetic field strength corresponding to the abnormal loss based on magnetic domain theory.

[0102] Furthermore, the logical instructions in the aforementioned memory 830 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a 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, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0103] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the high-frequency hysteresis characteristic prediction method for soft magnetic materials provided by the above methods. The method includes: acquiring the physical parameters of the soft magnetic material and the magnetic field parameters of the magnetic field where the soft magnetic material is located; inputting the physical parameters and magnetic field parameters into a dynamic hysteresis model, and outputting the predicted value of the magnetic field strength corresponding to the static hysteresis loss of the soft magnetic material, the predicted value of the magnetic field strength corresponding to the eddy current loss under high-frequency excitation, and the predicted value of the magnetic field strength corresponding to the abnormal loss by the dynamic hysteresis model; wherein, the dynamic hysteresis model predicts the magnetic field strength corresponding to the static hysteresis loss based on the Preisach model, predicts the magnetic field strength corresponding to the eddy current loss under high-frequency excitation based on the constructed Maxwell's equations, and predicts the magnetic field strength corresponding to the abnormal loss based on the magnetic domain theory.

[0104] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon. When executed by a processor, the computer program implements the high-frequency hysteresis characteristic prediction method for soft magnetic materials provided by the above methods. The method includes: acquiring the physical parameters of the soft magnetic material and the magnetic field parameters of the magnetic field where the soft magnetic material is located; inputting the physical parameters and magnetic field parameters into a dynamic hysteresis model, and outputting the predicted values ​​of the magnetic field strength corresponding to the static hysteresis loss of the soft magnetic material, the predicted values ​​of the magnetic field strength corresponding to the eddy current loss under high-frequency excitation, and the predicted values ​​of the magnetic field strength corresponding to the abnormal loss from the dynamic hysteresis model; wherein the dynamic hysteresis model predicts the magnetic field strength corresponding to the static hysteresis loss based on the Preisach model, predicts the magnetic field strength corresponding to the eddy current loss under high-frequency excitation based on the constructed Maxwell's equations, and predicts the magnetic field strength corresponding to the abnormal loss based on the magnetic domain theory.

[0105] The device embodiments described above are merely illustrative. 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 modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0106] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0107] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for predicting the high-frequency hysteresis characteristics of soft magnetic materials, characterized in that, include: Obtain the physical parameters of the soft magnetic material and the magnetic field parameters of the magnetic field where the soft magnetic material is located; The physical parameters and the magnetic field parameters are input into the dynamic hysteresis model, and the dynamic hysteresis model outputs the predicted value of the magnetic field strength corresponding to the static hysteresis loss of the soft magnetic material, the predicted value of the magnetic field strength corresponding to the eddy current loss under high frequency excitation, and the predicted value of the magnetic field strength corresponding to the abnormal loss. The dynamic hysteresis model predicts the magnetic field strength corresponding to the static hysteresis loss based on the Preisach model, predicts the magnetic field strength corresponding to the eddy current loss under high-frequency excitation based on the constructed Maxwell equations, and predicts the magnetic field strength corresponding to the abnormal loss based on the magnetic domain theory. The physical parameters include: electrical conductivity σ and thickness d; the magnetic field parameters include: the magnetic field strength H of the alternating magnetic field applied outside the soft magnetic material. a (t) and the average magnetic field strength H(t) of the soft magnetic material; The Maxwell equations constructed by the dynamic hysteresis model are as follows: The dynamic hysteresis model, based on a preset second formula, predicts the magnetic field strength H corresponding to the eddy current loss under the high-frequency excitation. cl (t); The preset second formula is: H cl (t)=H a (t)-H(t); The method further includes: When the soft magnetic material is in an unsaturated magnetization state, the dynamic hysteresis model outputs the predicted value of the magnetic field strength corresponding to the eddy current loss of the soft magnetic material in the unsaturated magnetization state. The dynamic hysteresis model is based on the linear BH relationship of the soft magnetic material in the unsaturated magnetization state. It predicts the magnetic field strength corresponding to the eddy current loss of the soft magnetic material in the unsaturated magnetization state by using a preset third formula. The preset third formula is: in, Among them, H m It is the amplitude of the magnetic field strength; B m ζ is the magnetic flux density amplitude; K is the skin coefficient; ζ is related to the skin depth δ d The relevant initial phase angle; ω is the angular frequency; t is time; α is the lag angle.

2. The method for predicting the high-frequency hysteresis characteristics of soft magnetic materials according to claim 1, characterized in that, The magnetic field parameters include: the instantaneous magnetic flux density B varying with time, the inverse Everett function value E(B0, b0) corresponding to positive saturation, the rising and falling sequence m(t) of the magnetic field strength, and the inverse Everett function value E(B0, b0) corresponding to the local extrema of the rising and falling branches at j = 1, 2, ... m. j b j-1 ) and E(B j b j ); The dynamic hysteresis model predicts the magnetic field strength H corresponding to the static hysteresis loss based on a preset first formula. hy (B); The preset first formula is:

3. The method for predicting the high-frequency hysteresis characteristics of soft magnetic materials as described in claim 1, characterized in that, Also includes: When the soft magnetic material is in a saturated magnetization state, the dynamic hysteresis model outputs the predicted value of the magnetic field strength corresponding to the eddy current loss of the soft magnetic material in the saturated magnetization state; The dynamic hysteresis model is based on the BH relationship of the oblique step response of the soft magnetic material in the saturated magnetization state. It predicts the magnetic field strength corresponding to the eddy current loss of the soft magnetic material in the saturated magnetization state by using a preset fourth formula. The preset fourth formula is:

4. The method for predicting the high-frequency hysteresis characteristics of soft magnetic materials as described in claim 1, characterized in that, The material parameters include: cross-sectional area S; the magnetic field parameters include: magnetic flux density amplitude B. m and excitation frequency f; The dynamic hysteresis model predicts the magnetic field strength corresponding to the abnormal loss based on a preset fifth formula. The preset fifth formula is: Where G is a dimensionless coefficient; δ is ±1 and is related to the sign of dB / dt; V is the statistical parameter of abnormal loss and is related to B. m It is related to f.

5. A high-frequency hysteresis characteristic prediction system for soft magnetic materials, characterized in that, include: The acquisition module is used to acquire the physical parameters of the soft magnetic material and the magnetic field parameters of the magnetic field where the soft magnetic material is located; The processing module is used to input the physical parameters and the magnetic field parameters into the dynamic hysteresis model, and output the predicted value of the magnetic field strength corresponding to the static hysteresis loss of the soft magnetic material, the predicted value of the magnetic field strength corresponding to the eddy current loss under high frequency excitation, and the predicted value of the magnetic field strength corresponding to the abnormal loss from the dynamic hysteresis model. The dynamic hysteresis model predicts the magnetic field strength corresponding to the static hysteresis loss based on the Preisach model, predicts the magnetic field strength corresponding to the eddy current loss under high-frequency excitation based on the constructed Maxwell equations, and predicts the magnetic field strength corresponding to the abnormal loss based on the magnetic domain theory. The physical parameters include: electrical conductivity σ and thickness d; the magnetic field parameters include: the magnetic field strength H of the alternating magnetic field applied outside the soft magnetic material. a (t) and the average magnetic field strength H(t) of the soft magnetic material; The Maxwell equations constructed by the dynamic hysteresis model are as follows: The dynamic hysteresis model, based on a preset second formula, predicts the magnetic field strength H corresponding to the eddy current loss under the high-frequency excitation. cl (t); The preset second formula is: H cl (t)=H a (t)-H(t); When the soft magnetic material is in an unsaturated magnetization state, the dynamic hysteresis model outputs the predicted value of the magnetic field strength corresponding to the eddy current loss of the soft magnetic material in the unsaturated magnetization state. The dynamic hysteresis model is based on the linear BH relationship of the soft magnetic material in the unsaturated magnetization state. It predicts the magnetic field strength corresponding to the eddy current loss of the soft magnetic material in the unsaturated magnetization state by using a preset third formula. The preset third formula is: in, Among them, H m It is the amplitude of the magnetic field strength; B m ζ is the magnetic flux density amplitude; K is the skin coefficient; ζ is related to the skin depth δ d The relevant initial phase angle; ω is the angular frequency; t is time; α is the lag angle.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the high-frequency hysteresis characteristic prediction method for soft magnetic materials as described in any one of claims 1 to 4.

7. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the high-frequency hysteresis characteristic prediction method for soft magnetic materials as described in any one of claims 1 to 4.

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