Performance parameter acquisition method and device based on temperature change and storage medium

Abstract

The application discloses a kind of based on temperature change's performance parameter acquisition method, device and storage medium.The method comprises the following steps: collecting the initial performance parameter of the core in high-frequency transformer;Based on the first temperature function of initial saturation magnetization in initial performance parameter, initial saturation magnetization is mapped and handled, and target saturation magnetization is obtained;Based on target saturation magnetization, the hysteresis loss coefficient and total eddy current loss coefficient of core are determined;Initial performance parameter, hysteresis loss coefficient and total eddy current loss coefficient are input into magnetostrictive model and analyzed, and target performance parameter is obtained, wherein, magnetostrictive model is established by the initial performance parameter of different high-frequency transformer, historical hysteresis loss coefficient and historical total eddy current loss coefficient.The application solves the technical problem that the performance parameter of the core in high-frequency transformer cannot be accurately obtained.

Description

Technical Field

[0001] The present invention relates to the technical field of high-frequency transformers, and in particular to a method, device and storage medium for obtaining performance parameters based on temperature changes. Background Art

[0002] High-frequency transformers play a crucial role in power electronic transformers and are widely used in applications such as flexible direct current (DC) distribution networks and locomotive traction. The vibrations generated by high-frequency transformers during operation are primarily due to the electromagnetic force acting on the core, and the intensity of the vibrations is related to the magnetic properties of the soft magnetic material. Different core materials produce varying magnetic properties, which affect the vibration pattern and frequency. This can loosen components, shorten equipment life, and lead to technical difficulties in accurately obtaining the core's performance parameters.

[0003] Currently, no effective solution has been proposed to the above-mentioned technical problem of being unable to accurately obtain the performance parameters of the iron core in the high-frequency transformer. Summary of the Invention

[0004] The embodiments of the present invention provide a method, device and storage medium for obtaining performance parameters based on temperature changes, which at least solve the technical problem of being unable to accurately obtain the performance parameters of the iron core in a high-frequency transformer.

[0005] According to one aspect of an embodiment of the invention, a method for obtaining performance parameters based on temperature changes is provided. The method includes: collecting initial performance parameters of an iron core in a high-frequency transformer, wherein the initial performance parameters are used to characterize the magnetic properties of the iron core under different temperature conditions; mapping the initial saturation magnetization based on a first temperature function of the initial saturation magnetization in the initial performance parameters to obtain a target saturation magnetization, wherein the first temperature function is used to characterize the correspondence between the initial saturation magnetization and temperature; determining the hysteresis loss coefficient and total eddy current loss coefficient of the iron core based on the target saturation magnetization, wherein the hysteresis loss coefficient is the relationship coefficient between the energy loss generated by the iron core during the demagnetization process and the magnetic field intensity, and the total eddy current loss coefficient is used to characterize the power loss occurring after the eddy current generated by the alternating current passing through the iron core; and inputting the initial performance parameters, the hysteresis loss coefficient, and the total eddy current loss coefficient into a magnetostrictive model for analysis to obtain the target performance parameters, wherein the magnetostrictive model is established using the initial performance parameters, historical hysteresis loss coefficients, and historical total eddy current loss coefficients of different high-frequency transformers.

[0006] Optionally, collecting initial performance parameters of the iron core in the high-frequency transformer includes: measuring the iron core using a measurement platform of the high-frequency transformer to obtain a magnetic characteristic curve; and determining the initial performance parameters based on the magnetic characteristic curve.

[0007] Optionally, the measuring platform comprises a signal generator, a high-voltage power amplifier, a direct-current blocking capacitor, a voltage probe, a current probe, and an oscilloscope. The measuring platform uses a high-frequency transformer to measure the magnetic core and obtain a magnetic characteristic curve. The method comprises the following steps: generating an original excitation signal by using the signal generator; amplifying the original excitation signal by using the high-voltage power amplifier to obtain an initial excitation signal; filtering the initial excitation signal by using the direct-current blocking capacitor to obtain a target excitation signal; determining a voltage signal and a current signal by using the voltage probe and the current probe based on the target excitation signal; and generating the magnetic characteristic curve by using the oscilloscope based on the voltage signal and the current signal.

[0008] Optionally, the magnetic characteristic curve comprises a magnetic hysteresis single-value curve and a magnetic hysteresis loop. The magnetic hysteresis single-value curve is used to represent the magnetization characteristic of the magnetic core under the action of an external magnetic field, and the magnetic hysteresis loop is used to represent the relationship between the magnetization intensity of the magnetic core and the magnetic field.

[0009] Optionally, the initial performance parameter, the magnetic hysteresis loss coefficient, and the total eddy current loss coefficient are input into the magnetostriction model for analysis to obtain a target performance parameter. The method comprises the following steps: obtaining magnetostriction data of the magnetic core and target magnetostriction data corresponding to the magnetostriction data; constructing a fitness function based on the magnetostriction data and the target magnetostriction data; and inputting the initial performance parameter, the magnetic hysteresis loss coefficient, and the total eddy current loss coefficient into the magnetostriction model for analysis based on the fitness function to obtain the target performance parameter.

[0010] Optionally, the fitness function is constructed based on the magnetostriction data and the target magnetostriction data. The method comprises the following steps: performing a difference operation on the magnetostriction data and the target magnetostriction data to obtain a target difference value; and determining the fitness function based on the target difference value.

[0011] Optionally, the initial performance parameter comprises an initial magnetic permeability, an initial coercive force, an initial magnetic permeability of a coercive force point, an initial remanence, an initial top point magnetic permeability of a magnetic hysteresis loop, and an initial top point value of the magnetic hysteresis loop.

[0012] According to an aspect of the embodiments of the present application, there is provided a temperature change based performance parameter obtaining device, the device further comprises: a collecting unit configured to collect initial performance parameters of a core of a high frequency transformer, wherein the initial performance parameters are used to represent magnetic properties of the core at different temperature conditions respectively; a mapping unit configured to perform mapping processing on initial saturation magnetization in the initial performance parameters based on a first temperature function of the initial saturation magnetization, to obtain target saturation magnetization, wherein the first temperature function is used to represent a corresponding relationship between the initial saturation magnetization and temperature; a determining unit configured to determine a magnetic hysteresis loss coefficient and a total eddy current loss coefficient of the core based on the target saturation magnetization, wherein the magnetic hysteresis loss coefficient is a relationship coefficient between energy loss generated in a demagnetization process of the core and magnetic field strength, and the total eddy current loss coefficient is used to represent power loss after eddy current generated by alternating current passing through the core; and an obtaining unit configured to input the initial performance parameters, the magnetic hysteresis loss coefficient and the total eddy current loss coefficient into a magnetostriction model for analysis, to obtain target performance parameters, wherein the magnetostriction model is established by initial performance parameters, historical magnetic hysteresis loss coefficients and historical total eddy current loss coefficients of different high frequency transformers.

[0013] According to another aspect of the embodiments of the present application, there is also provided a computer readable storage medium comprising a stored program, wherein the program, when executed by a processor, controls a device in which the storage medium is located to perform the method in the embodiments of the present application.

[0014] According to another aspect of the embodiments of the present application, there is also provided a processor configured to execute a program, wherein the program, when executed, performs the method in the embodiments of the present application.

[0015] According to another aspect of the embodiments of the present application, there is also provided a computer program product comprising a computer program, the computer program being executed by a processor to implement the method in the embodiments of the present application.

[0016] According to another aspect of the embodiments of the present application, there is also provided an electronic device comprising a processor and a memory configured to store processor executable instructions, wherein the processor is configured to execute the instructions to implement the method in the embodiments of the present application.

[0017] In the embodiment of the present application, the initial performance parameters of the core in the high-frequency transformer are collected, wherein the initial performance parameters are used to represent the magnetic properties of the core under different temperature conditions; the initial saturation magnetization is mapped based on the first temperature function of the initial saturation magnetization in the initial performance parameters, to obtain the target saturation magnetization, wherein the first temperature function is used to represent the corresponding relationship between the initial saturation magnetization and the temperature; the hysteresis loss coefficient and the total eddy current loss coefficient of the core are determined based on the target saturation magnetization, wherein the hysteresis loss coefficient is the relationship coefficient between the energy loss generated in the demagnetization process of the core and the magnetic field strength, and the total eddy current loss coefficient is used to represent the power loss after the eddy current generated by the alternating current passing through the core; the initial performance parameters, the hysteresis loss coefficient and the total eddy current loss coefficient are input into the magnetostriction model for analysis to obtain the target performance parameters, wherein the magnetostriction model is established by the initial performance parameters, the historical hysteresis loss coefficient and the historical total eddy current loss coefficient of different high-frequency transformers. That is, the initial performance parameters of the core in the high-frequency transformer can be collected first, then the initial saturation magnetization is mapped according to the first temperature function of the initial saturation magnetization in the initial performance parameters, so as to obtain the target saturation magnetization, and then the hysteresis loss coefficient and the total eddy current loss coefficient of the core are determined according to the target saturation magnetization obtained above, and finally the initial performance parameters, the hysteresis loss coefficient and the total eddy current loss coefficient are input into the magnetostriction model for analysis to achieve the purpose of obtaining the target performance parameters. Since the initial saturation magnetization is mapped according to the first temperature function of the initial saturation magnetization in the initial performance parameters after the initial performance parameters are obtained, the target saturation magnetization is obtained, and then the hysteresis loss coefficient and the total eddy current loss coefficient of the core are determined according to the target saturation magnetization obtained above, and the initial performance parameters, the hysteresis loss coefficient and the total eddy current loss coefficient are input into the magnetostriction model, so that the target performance parameters can be obtained, thereby solving the technical problem that the performance parameters of the core in the high-frequency transformer cannot be accurately obtained, and achieving the technical effect that the performance parameters of the core in the high-frequency transformer can be accurately obtained. BRIEF DESCRIPTION OF DRAWINGS

[0018] The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application. In the drawings:

[0019] Figure 1 FIG. 1 is a flowchart of a performance parameter acquisition method based on temperature change according to an embodiment of the present application;

[0020] Figure 2 FIG. 2 is a schematic diagram of a measurement platform according to an embodiment of the present application;

[0021] Figure 3 is a flow chart of a magnetostriction model parameter optimization method according to an embodiment of the present application;

[0022] Figure 4 is a schematic diagram of a performance parameter acquisition device based on temperature change according to an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to make the personnel in the art better understand the present application scheme, the technical scheme in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should belong to the scope of protection of the present application.

[0024] It should be noted that the terms "first", "second" and the like in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or a chronological sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0025] According to an embodiment of the present application, a performance parameter acquisition method based on temperature change is provided. It should be noted that the steps shown in the flow chart of the drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical sequence is shown in the flow chart, in some cases, the steps shown or described herein can be executed in an order different from that described herein.

[0026] The performance parameter acquisition method based on temperature change of the embodiments of the present application will be introduced below.

[0027] Figure 1 is a flow chart of a performance parameter acquisition method based on temperature change according to an embodiment of the present application, as shown in the figure, the performance parameter acquisition method based on temperature change can include the following steps: Figure 1

[0028] Step S101, collecting the initial performance parameters of the core in the high-frequency transformer.

[0029] ​In the technical solution provided in the step S101 of the present application, the initial performance parameters of the core in the high-frequency transformer can be collected by using the measuring platform. The initial performance parameters are used to represent the magnetic properties of the core at different temperatures. The core can be made of amorphous alloy, which is also called amorphous alloy core.

[0030] Optionally, the magnetic characteristic curves of the core at different temperatures are generated by using the measuring platform, and the initial performance parameters are obtained according to the magnetic characteristic curves. For example, the magnetic characteristic curves of the amorphous alloy core in the high-frequency transformer at different temperatures are measured, so as to obtain the magnetic characteristic parameters (such as saturation magnetization, coercive force, residual magnetism, etc.) at different temperatures.

[0031] It should be noted that the above is only one preferred embodiment of collecting the initial performance parameters of the core in the high-frequency transformer, and the process and method of collecting the initial performance parameters of the core in the high-frequency transformer are not limited.

[0032] In step S102, the initial saturation magnetization is mapped based on a first temperature function of the initial saturation magnetization in the initial performance parameters, so as to obtain a target saturation magnetization.

[0033] In the technical solution provided in the step S102 of the present application, after obtaining the initial performance parameters, the first temperature function of the initial saturation magnetization in the initial performance parameters is obtained by using the linear interpolation method. According to the first temperature function, the initial saturation magnetization can be mapped, so as to obtain the target saturation magnetization. The first temperature function is used to represent the corresponding relationship between the initial saturation magnetization and the temperature.

[0034] Optionally, the initial saturation magnetization can be represented by M s . The target saturation magnetization can be called the saturation magnetization of the unit e, and is represented by M se (T), wherein T represents the temperature.

[0035] For example, considering the influence of the temperature on the saturation magnetization M s , the linear interpolation method is used to obtain the function of M s with respect to the temperature based on the obtained initial performance parameters, so as to obtain the saturation magnetization M se (T) of the unit e. The function of M s with respect to the temperature can be represented by the following formula:

[0036]

[0037] In the above formula, T i represents the temperature at the i th moment. T i+1for representing the temperature at the i+1 time.

[0038] It should be noted that the above is only one preferred embodiment of obtaining the target saturation magnetization, and the process and method of obtaining the target saturation magnetization are not specifically limited, as long as the method and process of mapping the initial saturation magnetization according to the first temperature function of the initial saturation magnetization in the initial performance parameter to obtain the target saturation magnetization are within the protection scope of the present application, and will not be listed here.

[0039] In step S103, the hysteresis loss coefficient and the total eddy current loss coefficient of the iron core are determined based on the target saturation magnetization.

[0040] In the technical solution provided by the above step S103 of the present application, the target saturation magnetization is obtained, and the hysteresis loss coefficient and the total eddy current loss coefficient of the iron core can be determined. The hysteresis loss coefficient is the relationship coefficient between the energy loss generated by the iron core in the demagnetization process and the magnetic field strength, which can be referred to as hysteresis loss, and is represented by k h . The total eddy current loss coefficient is used to represent the power loss after the eddy current generated by the alternating current passing through the iron core, which can be referred to as total eddy current loss, and is represented by k c .

[0041] Optionally, the second temperature function and the third temperature function can be determined according to the target saturation magnetization and the temperature, wherein the second temperature function is used to represent the relationship between the hysteresis loss and the temperature, and the third temperature function is used to represent the relationship between the total eddy current loss and the temperature; the hysteresis loss coefficient is determined based on the second temperature function; and the total eddy current loss coefficient is determined based on the third temperature function.

[0042] For example, considering the influence of temperature effect on magnetic energy loss, the hysteresis loss function and the total eddy current loss function can be determined by the following formula:

[0043] k h (T,B m )=a0+a1B m +a2B m 2 +a3T

[0044] k c (T,f)=b0+b1f+b2f 2 +b3f 3 +b4T

[0045] In the formula, a0 and b0 represent original loss coefficients; a3 and b4 represent linear coefficients of reaction temperature sensitivity; a1 and a2 represent additional magnetic flux density term coefficients. b1, b2 and b3 represent additional frequency term coefficients. For different ferromagnetic materials, the values of the coefficients vary, and the relationship between the temperature variable and the loss coefficient is linear, that is, the relationship between the hysteresis loss coefficient and the temperature variable is linear, and the relationship between the total eddy current loss coefficient and the temperature variable is also linear.

[0046] It should be noted that this is only one preferred embodiment for determining the hysteresis loss coefficient and the total eddy current loss coefficient of the core, and the process and method for determining the hysteresis loss coefficient and the total eddy current loss coefficient of the core are not specifically limited, as long as the process and method for determining the hysteresis loss coefficient and the total eddy current loss coefficient of the core based on the target saturation magnetization are within the protection scope of the present application, which will not be listed here.

[0047] In step S104, the initial performance parameters, the hysteresis loss coefficient and the total eddy current loss coefficient are input into the magnetostriction model for analysis to obtain the target performance parameters.

[0048] In the technical solution provided by the above step S104 of the present application, after obtaining the initial performance parameters, the hysteresis loss coefficient and the total eddy current loss coefficient, the initial performance parameters, the hysteresis loss coefficient and the total eddy current loss coefficient can be input into the magnetostriction model for analysis to achieve the purpose of obtaining the target performance parameters, wherein the magnetostriction model is established by the initial performance parameters, the historical hysteresis loss coefficient and the historical total eddy current loss coefficient of different high-frequency transformers.

[0049] Optionally, the parameters in the magnetostriction model are optimized by using a gray wolf algorithm (Gray Wolf Optimization Algorithm, referred to as GWO) to obtain optimized performance parameters, and based on the optimized performance parameters, an optimized magnetostriction model is obtained. For example, the parameters in the magnetostriction model are optimized by using the gray wolf algorithm, so that the error function value is minimized under the optimal combination of the parameters, so as to obtain the optimized performance parameters.

[0050] Further, after obtaining the optimized magnetostriction model, an improved magnetostriction model considering temperature change can be established in combination with a domain switching model, and each temperature-related parameter is substituted into the model to obtain the target performance parameters.

[0051] It can be understood that this is only a preferred implementation method for obtaining the target performance parameters, and the process and method for obtaining the target performance parameters are not specifically limited. As long as the initial performance parameters, hysteresis loss coefficient and total eddy current loss coefficient are input into the magnetostrictive model for analysis, the process and method for obtaining the target performance parameters are within the scope of protection of the present invention and are not listed here.

[0052] In the above steps S101 to S104 of the present invention, the initial performance parameters of the iron core in the high-frequency transformer can be first collected. Then, the initial saturation magnetization can be mapped based on the first temperature function of the initial saturation magnetization in the initial performance parameters to obtain the target saturation magnetization. Then, based on the above-obtained target saturation magnetization, the hysteresis loss coefficient and the total eddy current loss coefficient of the iron core can be determined. Finally, the obtained initial performance parameters, hysteresis loss coefficient, and total eddy current loss coefficient can be input into the magnetostriction model for analysis to achieve the purpose of obtaining the target performance parameters. Considering that after obtaining the initial performance parameters, the initial saturation magnetization can be mapped according to the first temperature function of the initial saturation magnetization in the initial performance parameters to obtain the target saturation magnetization, and then based on the target saturation magnetization obtained above, the hysteresis loss coefficient and the total eddy current loss coefficient of the iron core can be determined. When the initial performance parameters, the hysteresis loss coefficient and the total eddy current loss coefficient are input into the magnetostrictive model, the target performance parameters can be obtained, thereby solving the technical problem of being unable to accurately obtain the performance parameters of the iron core in the high-frequency transformer and achieving the technical effect of being able to accurately obtain the performance parameters of the iron core in the high-frequency transformer.

[0053] The above method of this embodiment is further introduced below.

[0054] As an optional embodiment, collecting initial performance parameters of the iron core in the high-frequency transformer includes: measuring the iron core using a measurement platform of the high-frequency transformer to obtain a magnetic characteristic curve; and determining the initial performance parameters based on the magnetic characteristic curve.

[0055] In this embodiment, the high-frequency transformer's measurement platform can be used to measure the core to obtain a magnetic characteristic curve, and then, based on the obtained magnetic characteristic curve, the initial performance parameters can be determined. The measurement platform is used to perform no-load testing on the core and can be referred to as a magnetic characteristic measurement platform. For example, a temperature-controllable magnetic characteristic measurement platform for amorphous alloy wound core is required to enable no-load testing of the core.

[0056] As an optional embodiment, the measurement platform comprises a signal generator, a high-voltage power amplifier, a DC blocking capacitor, a voltage probe, a current probe, and an oscilloscope. The measurement platform using a high-frequency transformer measures the core to obtain a magnetic characteristic curve, comprising: using the signal generator to generate an original excitation signal; using the high-voltage power amplifier to amplify the original excitation signal to obtain an initial excitation signal; using the DC blocking capacitor to filter the initial excitation signal to obtain a target excitation signal; based on the target excitation signal, using the voltage probe and the current probe to determine a voltage signal and a current signal, respectively; and using the oscilloscope to generate the magnetic characteristic curve based on the voltage signal and the current signal.

[0057] In this embodiment, the measurement platform comprises a signal generator, a high-voltage power amplifier, a DC blocking capacitor, a voltage probe, a current probe, a measured core, a temperature meter, an oscilloscope, and a host computer, wherein the measured core and the temperature meter constitute a controllable temperature environment. The current probe can be replaced by a current transformer.

[0058] In this embodiment, the original excitation signal can be generated by the signal generator, and the high-voltage power amplifier can be used to amplify the original excitation signal to obtain an initial excitation signal. The DC blocking capacitor can be used to filter the initial excitation signal to obtain a target excitation signal. Based on the target excitation signal, the voltage probe and the current probe can be used to determine a voltage signal and a current signal, respectively. Finally, the oscilloscope can be used to generate a magnetic characteristic curve based on the voltage signal and the current signal. The voltage signal can be represented by U2(t). The current signal can be represented by i1(t). The original excitation signal can be referred to as an excitation signal.

[0059] For example, the primary and secondary windings are uniformly wound on the measured core, and an excitation signal is generated by the signal generator. The excitation signal is amplified by the high-voltage power amplifier, and the amplified excitation signal is filtered by the DC blocking capacitor and applied to the primary winding of the core. The secondary winding of the core is open, and the voltage probe can be connected to collect the no-load voltage signal U2(t). The current transformer is used to monitor the current signal i1(t) on the primary excitation winding side. Finally, the collected current signal and voltage signal are recorded by the connected oscilloscope.

[0060] Further, according to the measurement platform, the magnetic field strength in the core can be obtained and represented by the following formula:

[0061]

[0062] In the above formula, N1 is used to represent the number of turns of the primary winding of the amorphous core, and i1 is used to represent the current passing through the primary winding. When the primary winding is energized, the magnetic flux density in the core can be calculated by the open-circuit voltage of the secondary side through the following formula:

[0063]

[0064] After the signal measurement of the measured core from low magnetic density to saturation magnetic density, the corresponding magnetic characteristic curve can be drawn according to the voltage signal and the current signal collected by the oscilloscope, which can be represented by the B-H magnetic characteristic curve, and the magnetic characteristic curve displayed in the B-H magnetic characteristic curve.

[0065] As an optional embodiment, the magnetic characteristic curve includes a magnetic hysteresis single-value curve and a magnetic hysteresis loop, wherein the magnetic hysteresis single-value curve is used to represent the magnetization characteristic of the core under the action of an external magnetic field, and the magnetic hysteresis loop is used to represent the relationship between the magnetization intensity and the magnetic field under the action of an external magnetic field.

[0066] In this embodiment, the magnetic characteristic curve can include a magnetic hysteresis single-value curve and a magnetic hysteresis loop. Using the magnetic hysteresis single-value curve and the magnetic hysteresis loop drawn by the oscilloscope, the initial performance parameters of the core in the high-frequency transformer can be obtained, such as the magnetization intensity, the magnetic permeability, the residual magnetism, the vertex value of the magnetic hysteresis loop, etc.

[0067] As an optional embodiment, the initial performance parameters, the hysteresis loss coefficient and the total eddy current loss coefficient are input into the magnetostriction model for analysis to obtain the target performance parameters, including: obtaining the magnetostriction data of the core and the target magnetostriction data corresponding to the magnetostriction data; based on the magnetostriction data and the target magnetostriction data, constructing a fitness function; based on the fitness function, inputting the initial performance parameters, the hysteresis loss coefficient and the total eddy current loss coefficient into the magnetostriction model for analysis to obtain the target performance parameters.

[0068] In this embodiment, the magnetostriction data of the core and the target magnetostriction data corresponding to the magnetostriction data can be obtained, and then according to the obtained magnetostriction data and the target magnetostriction data, a fitness function can be constructed, and according to the obtained fitness function, the initial performance parameters, the hysteresis loss coefficient and the total eddy current loss coefficient can be input into the magnetostriction model for analysis by using the grey wolf algorithm to obtain the target performance parameters. Wherein, the fitness function can be represented by Fitness.

[0069] Optionally, the grey wolf algorithm is used to optimize and solve the parameters in the magnetostriction model, wherein the magnetostriction model can be represented by the following formula:

[0070]

[0071] In the above formula, M s represents the saturation magnetization. a represents the shape parameter. k h represents the hysteresis loss coefficient. a represents the average field parameter. v represents the loss correction coefficient. k c represents the eddy current loss coefficient. Wherein, the temperature-related information contains the saturation magnetization M s (T), the hysteresis loss function k h (T, B m ) and the eddy current loss function k c (T, f).

[0072] Optionally, the grey wolf algorithm is a swarm intelligence optimization algorithm, which divides the wolf group into four grades, and uses a small number of grey wolves with absolute right of speech to lead a group of grey wolves to prey. The calculation process of the above grey wolf algorithm is: initializing N parameters in the algorithm, including population size N, maximum iteration number MaxIter, particle dimension dim; according to the upper and lower bounds of the variables, the position X of the grey wolf individual is randomly initialized, each grey wolf corresponds to a position X i , that is, corresponds to a set of unknown parameter combinations in the hysteresis expansion model; calculate the target function value corresponding to the position of each wolf, and calculate the fitness value by using the error function, save the position information of the wolf with the optimal fitness function value in the population as X α , save the position information of the wolf with the second optimal fitness function value in the population as X β , save the position information of the wolf with the third optimal fitness function value in the population as X δ ; update the position X i of other grey wolf individuals according to the position of the first three wolves.

[0073] Further, the coefficient vectors A and C of the parameters and the convergence factor a can be updated, wherein the size of the convergence factor decreases with the increase of the iteration number; calculate the fitness value of each grey wolf, and update the best position of the first three wolves; judge whether the maximum iteration number MaxIter is reached, if yes, the algorithm stops, and the value of X α is returned as the final optimal solution, otherwise, according to the position update of the first three wolves, the positions X i of other grey wolf individuals are recalculated; output the optimal solution of the parameter combination, that is, the best position of the grey wolf can be finally obtained by using the algorithm, and the optimized parameters include: the saturation magnetization M s in the magnetostrictive model, the shape parameter a, the hysteresis loss coefficient k h , the average field parameter a, the loss correction coefficient v and the eddy current loss coefficient k c .

[0074] It should be noted that the positions of the other gray wolf individuals are updated according to the positions of the top three gray wolves i The process is as follows:

[0075]

[0076] wherein, respectively represent the distances between the individual and the top three gray wolves, are all expressed as random vectors. A1, A2, and A3 are all expressed as random coefficients related to a convergence factor a.

[0077] As an optional embodiment, a fitness function is constructed based on the magnetostrictive data and the target magnetostrictive data, including: performing a difference operation on the magnetostrictive data and the target magnetostrictive data to obtain a target difference value; determining the fitness function based on the target difference value.

[0078] In this embodiment, the magnetostrictive data is subtracted from the target magnetostrictive data to obtain a target difference value, and then the fitness function can be determined according to the target difference value. The magnetostrictive data can represent the measured magnetostrictive strain variable. The target magnetostrictive data is used to represent the target function value obtained by calculation. For example, the fitness function can be represented by the following formula:

[0079]

[0080] In the above formula, λ e represents the measured magnetostrictive strain variable, and λ m represents the target function value corresponding to the optimal position of the gray wolf calculated by the model.

[0081] It should be noted that this is only one preferred embodiment for determining the fitness function, and the process and method for determining the fitness function are not specifically limited. As long as the process and method for determining the fitness function through the target difference value are within the protection scope of the present application, they will not be described here.

[0082] As an optional embodiment, the initial performance parameters include: initial permeability, initial coercivity, initial permeability of coercivity point, initial remanence, initial vertex permeability of hysteresis loop, and initial vertex value of hysteresis loop.

[0083] In this embodiment, the initial performance parameters can include: initial permeability, initial coercivity, initial permeability of coercivity point, initial remanence, initial vertex permeability of hysteresis loop, and initial vertex value of hysteresis loop. The initial permeability can be represented by χ in The initial coercivity can be referred to as coercivity, and represented by H cis denoted. The initial permeability of the coercivity point can be referred to as the permeability of the coercivity point, and is denoted by χ Hc is denoted. The initial remanence can be referred to simply as remanence, and is denoted by M r is denoted. The initial vertex permeability of the hysteresis loop can be referred to simply as the hysteresis loop vertex permeability, and is denoted by χ m is denoted. The initial vertex value of the hysteresis loop can be referred to simply as the hysteresis loop vertex value, and is denoted by (M m , H m ) is denoted.

[0084] In this embodiment, the initial performance parameters of the core in the high-frequency transformer can be collected first, and then the initial saturation magnetization is mapped according to the first temperature function of the initial saturation magnetization in the initial performance parameters, so as to obtain the target saturation magnetization, and then the hysteresis loss coefficient and the total eddy current loss coefficient of the core are determined according to the target saturation magnetization obtained above. Finally, the initial performance parameters, the hysteresis loss coefficient and the total eddy current loss coefficient are input into the magnetostriction model for analysis, so as to achieve the purpose of obtaining the target performance parameters. Since the initial saturation magnetization is mapped according to the first temperature function of the initial saturation magnetization in the initial performance parameters after the initial performance parameters are obtained, the target saturation magnetization is obtained, and then the hysteresis loss coefficient and the total eddy current loss coefficient of the core are determined according to the target saturation magnetization obtained above. The initial performance parameters, the hysteresis loss coefficient and the total eddy current loss coefficient are input into the magnetostriction model, so as to obtain the target performance parameters, thereby solving the technical problem that the performance parameters of the core in the high-frequency transformer cannot be accurately obtained, and realizing the technical effect that the performance parameters of the core in the high-frequency transformer can be accurately obtained.

[0085] The technical solutions of the embodiments of the present application will be illustrated below in conjunction with preferred embodiments.

[0086] The high-frequency transformer plays a crucial role in power electronic transformers and is widely used in flexible direct current (VSC) distribution networks, locomotive traction and other scenarios. The material of the core in the high-frequency transformer is usually selected from amorphous alloy, nanocrystalline, ferrite and the like. These soft magnetic materials have the advantages of low hysteresis loss and high permeability, and are very suitable for high-frequency operation. Among them, amorphous alloy is a commonly used material for the core of the high-frequency transformer, which has the characteristic of large magnetostriction coefficient.

[0087] The vibration generated by the high-frequency transformer during operation is mainly caused by the electromagnetic force received by the core, and the strength of the vibration is related to the magnetic properties of the soft magnetic material. Because the materials used to make the core are different, the magnetic properties exhibited by the core are also different, thereby affecting the vibration mode and frequency, causing the components of the high-frequency transformer to loosen, reducing the service life of the equipment, and leading to the technical problem that the performance parameters of the core in the high-frequency transformer cannot be accurately obtained.

[0088] In an implementable embodiment, for magnetostriction of the iron core, various models have been developed to simulate the magnetic properties and vibration behavior of the iron core in the high-frequency transformer, such as hydraulic amplification type, nonlinear model, etc., the main structure is that the driving coil is enclosed in the steel shell, and the magnetostrictive material is placed in the center of the structure, when the magnetic field generated by the current of the driving coil, the magnetostrictive material forms a driver under the action of the magnetic field, and the magnetostrictive calculation model is used to test the magnetostriction of the iron core, wherein the magnetostrictive calculation model mainly includes a model based on magnetostrictive deformation and a model based on magnetostrictive force established by using elastic mechanics. However, the above-mentioned method still has the technical problem that the performance parameters of the iron core in the high-frequency transformer cannot be accurately obtained.

[0089] Therefore, in order to solve the above problems, the present application proposes a performance parameter acquisition method based on temperature change, which can first collect the initial performance parameters of the iron core in the high-frequency transformer, then map the initial saturation magnetization according to the first temperature function of the initial saturation magnetization in the initial performance parameters, so as to obtain the target saturation magnetization, and then determine the magnetic hysteresis loss coefficient and the total eddy current loss coefficient of the iron core according to the target saturation magnetization obtained above, finally input the initial performance parameters, the magnetic hysteresis loss coefficient and the total eddy current loss coefficient into the magnetostrictive model for analysis, so as to achieve the purpose of obtaining the target performance parameters. Since the initial performance parameters are obtained, the initial saturation magnetization can be mapped according to the first temperature function of the initial saturation magnetization in the initial performance parameters, the target saturation magnetization is obtained, and then the magnetic hysteresis loss coefficient and the total eddy current loss coefficient of the iron core are determined according to the target saturation magnetization obtained above, and the initial performance parameters, the magnetic hysteresis loss coefficient and the total eddy current loss coefficient are input into the magnetostrictive model, so as to obtain the target performance parameters, thereby solving the technical problem that the performance parameters of the iron core in the high-frequency transformer cannot be accurately obtained, and realizing the technical effect that the performance parameters of the iron core in the high-frequency transformer can be accurately obtained.

[0090] In the embodiment of the present application, a vibration modeling method of amorphous alloy iron core in high-frequency transformer considering temperature influence can be proposed, which can estimate the strength of vibration signals that may be generated under different operating temperatures when the high-frequency transformer is optimized and designed, so as to further optimize the vibration reduction structure of the transformer, thereby maintaining the working performance of the transformer and prolonging the working life of the transformer.

[0091] In this embodiment, the implementation process of the vibration modeling method of the amorphous alloy iron core is as follows: first, the magnetic property curve of the amorphous alloy wound iron core in the high-frequency transformer under different temperatures is measured by using a measurement platform, so as to obtain the magnetic property parameters under different temperature conditions, such as saturation magnetization, coercive force, residual magnetism and other parameters.Figure 2 is a schematic diagram of a measuring platform according to an embodiment of the present application, as shown, the measuring platform comprises a signal generator 201, a high-voltage power amplifier 202, a direct-current blocking capacitor 203, a voltage probe 204, a current probe 205, a measured core 206, a temperature meter 207, an oscilloscope 208 and a host computer 209. Figure 2

[0092] Optionally, the primary winding and the secondary winding are uniformly wound on the measured core, an excitation signal is generated by the signal generator, the excitation signal is amplified by the high-voltage power amplifier, and the amplified excitation signal is filtered by the direct-current blocking capacitor and then applied to the primary winding of the core. The secondary winding of the core is open-circuited, and the voltage probe can be connected to collect the no-load voltage signal U2(t) of the secondary winding. The current signal i1(t) on the primary excitation winding side is monitored by the current transformer, and finally the collected current signal and voltage signal are recorded by the connected oscilloscope.

[0093] Further, according to the measuring platform, the magnetic field strength in the core can be obtained and represented by the following formula:

[0094]

[0095] In the above formula, N1 represents the number of turns of the primary winding of the amorphous ring core, and i1 represents the current through the primary winding. When the primary winding is excited, the magnetic flux density in the core can be calculated and obtained by the open-circuit voltage of the secondary winding through the following formula:

[0096]

[0097] After the signal measurement of the measured core from the low magnetic density to the saturation magnetic density at equal intervals, the corresponding magnetic characteristic curve can be plotted according to the voltage signal and the current signal collected by the oscilloscope, which can be represented by the B-H magnetic characteristic curve, and the magnetic characteristic curve displayed in the B-H magnetic characteristic curve.

[0098] It should be noted that the plotted magnetic characteristic curve includes the magnetic hysteresis single-value curve and the magnetic hysteresis loop, and the following parameters can be obtained from the magnetic characteristic curve: saturation magnetization M s ; initial permeability χ in ; coercive force H c ; permeability χ Hc of the coercive force point; remanence M r ; permeability χ m of the top point of the hysteresis loop; and the top point value (M m , H m ) of the hysteresis loop.

[0099] ​Optionally, after obtaining the core parameters by using the magnetic characteristic curve, considering the influence of temperature on the saturation magnetization M s , the initial performance parameters obtained are subjected to linear interpolation to obtain a function of M s about temperature, so as to obtain the saturation magnetization M se (T) of the unit e, wherein the function of M s about temperature can be expressed by the following formula:

[0100]

[0101] In the above formula, T i is used to represent the temperature at the i th moment. T i+1 is used to represent the temperature at the i+1 th moment. Then, considering the influence of temperature effect on the magnetic energy loss, the hysteresis loss function and the total eddy current loss function can be determined by the following formula:

[0102]

[0103] k c (T,f) = b0+b1f+b2f 2 +b3f 3 +b4T

[0104] In the above formula, a0 and b0 are both used to represent the original loss coefficient; a3 and b4 are both used to represent the linear coefficient of temperature sensitivity; a1 and a2 are both used to represent the additional magnetic flux density term coefficient. b1, b2 and b3 are all used to represent the additional frequency term coefficient. For different ferromagnetic materials, the values of the coefficients vary, and the relationship between the temperature variable and the loss coefficient is linear, that is, the relationship between the hysteresis loss coefficient and the temperature variable is linear, and the relationship between the total eddy current loss coefficient and the temperature variable is also linear.

[0105] Further, the parameters in the magnetostriction model are optimized by using the grey wolf algorithm, so that the error function value is minimized under the optimal combination of the parameters, so as to obtain the optimized performance parameters. The magnetostriction model can be expressed by the following formula:

[0106]

[0107] In the above formula, M s is used to represent the saturation magnetization. a is used to represent the shape parameter. k h is used to represent the hysteresis loss coefficient. a is used to represent the average field parameter. v is used to represent the loss correction coefficient. k c is used to represent the eddy current loss coefficient. The information related to temperature includes the saturation magnetization M s (T), the hysteresis loss function k h(T,B m ) and eddy current loss function k c (T,f).

[0108] Optionally, the grey wolf algorithm is a swarm intelligence optimization algorithm, which divides a wolf group into four grades, and uses a small number of grey wolves with absolute right to lead a group of grey wolves to prey. Figure 3 is a flow chart of a parameter optimization method of a magnetostrictive model according to an embodiment of the application, as Figure 3 shown, the method uses the grey wolf algorithm to realize, and the specific implementation steps are as follows:

[0109] Step S301, the position and parameters of the grey wolf population are initialized.

[0110] In this embodiment, the position and parameters of the grey wolf population can be initialized. For example, N parameters in the initialization algorithm are initialized, including the population size N, the maximum iteration number MaxIter, and the particle dimension dim.

[0111] Step S302, the fitness function of the grey wolf individual is calculated, and the parameters of the top three wolves with the best fitness are saved.

[0112] In this embodiment, the fitness function of the grey wolf individual can be calculated, and the parameters of the top three wolves with the best fitness are saved. The fitness function can be represented by the following formula:

[0113]

[0114] In the above formula, λ e is used to represent the measured magnetostrictive strain variable, λ m is used to represent the target function value corresponding to the optimal position of the grey wolf calculated by the model.

[0115] For example, according to the upper and lower bounds of the variable, the position X of the grey wolf individual is randomly initialized, and each grey wolf corresponds to a position X i , that is, a set of unknown parameter combinations in the hysteresis magnetostrictive model; the target function value corresponding to the position of each wolf is calculated, and the fitness value is calculated using the error function, the position information of the wolf with the optimal fitness function value in the population is saved as X α , the position information of the wolf with the second optimal fitness function value in the population is saved as X β , and the position information of the wolf with the third optimal fitness function value in the population is saved as X δ .

[0116] Step S303, the position of the current grey wolf is updated.

[0117] In this embodiment, the positions X of other grey wolf individuals are calculated according to the positions of the top three wolves. i.

[0118] Step S304, update each parameter in the model.

[0119] Step S305, recalculate the fitness of all gray wolves.

[0120] Step S306, update the parameters of the top three wolves.

[0121] In this embodiment, the coefficient vectors A and C of the parameters and the convergence factor a can be updated again, wherein the size of the convergence factor decreases with the increase of the number of iterations; the fitness value of each gray wolf is calculated, and the best position of the top three wolves is updated.

[0122] Step S307, determine whether the number of iterations at this time is greater than the maximum number of iterations.

[0123] In this embodiment, it can be determined whether the number of iterations at this time is greater than the maximum number of iterations, if yes, step S308 is executed, and if no, step S303 is executed.

[0124] For example, it is determined whether the maximum number of iterations MaxIter is reached, if yes, the algorithm stops and returns the value of X α , and the value is taken as the final optimal solution, otherwise, the positions of other gray wolf individuals X i are recalculated according to the position update of the top three wolves.

[0125] Step S308, output the position of the optimal gray wolf.

[0126] Step S309, output the objective function value of the optimal gray wolf.

[0127] In this embodiment, the combined optimal solution of the parameters is output, that is, the best position of the gray wolf can be finally obtained by using the algorithm, and the optimized parameters include: the saturation magnetization M s in the magnetostrictive model, the shape parameter a, the hysteresis loss coefficient k h , the mean field parameter a, the loss correction coefficient v and the eddy current loss coefficient k c .

[0128] It should be noted that the process of updating and calculating the positions of other gray wolf individuals X i according to the positions of the top three wolves is as follows:

[0129]

[0130] wherein, respectively represent the distance between the individual and the top three wolves, All are expressed as random vectors. A1, A2, A3 are all expressed as random coefficients related to the convergence factor a. Finally, after obtaining the optimized magnetostriction model, the improved magnetostriction model considering temperature change can be established by combining the domain switching model, and each temperature-related parameter is substituted into the model to obtain the target performance parameter.

[0131] In this embodiment, the initial performance parameters of the core in the high-frequency transformer can be collected first, and then the initial saturation magnetization is mapped according to the first temperature function of the initial saturation magnetization in the initial performance parameters to obtain the target saturation magnetization, and then the hysteresis loss coefficient and the total eddy current loss coefficient of the core are determined according to the target saturation magnetization obtained above. Finally, the initial performance parameters, the hysteresis loss coefficient and the total eddy current loss coefficient are input into the magnetostriction model for analysis to achieve the purpose of obtaining the target performance parameter. Since the initial saturation magnetization is mapped according to the first temperature function of the initial saturation magnetization in the initial performance parameters after obtaining the initial performance parameters, the target saturation magnetization is obtained, and then the hysteresis loss coefficient and the total eddy current loss coefficient of the core are determined according to the target saturation magnetization obtained above. The initial performance parameters, the hysteresis loss coefficient and the total eddy current loss coefficient are input into the magnetostriction model, and the target performance parameter can be obtained, thereby solving the technical problem that the performance parameters of the core in the high-frequency transformer cannot be accurately obtained, and realizing the technical effect that the performance parameters of the core in the high-frequency transformer can be accurately obtained.

[0132] According to the embodiment of the present application, a performance parameter acquisition device based on temperature change is provided. It should be noted that the performance parameter acquisition device based on temperature change can be used to execute the performance parameter acquisition method based on temperature change in the embodiment.

[0133] Figure 4 is a schematic diagram of a performance parameter acquisition device based on temperature change according to an embodiment of the present application, as shown in Figure 4 The performance parameter acquisition device 400 based on temperature change can include a collection unit 401, a mapping unit 402, a determination unit 403 and an acquisition unit 404.

[0134] The collection unit 401 is configured to collect initial performance parameters of a core in a high-frequency transformer, wherein the initial performance parameters are used to represent the magnetic properties of the core at different temperature conditions.

[0135] The mapping unit 402 is configured to map the initial saturation magnetization based on a first temperature function of the initial saturation magnetization in the initial performance parameters to obtain a target saturation magnetization, wherein the first temperature function is used to represent the corresponding relationship between the initial saturation magnetization and the temperature.

[0136] The determination unit 403 is configured to determine a magnetic hysteresis loss coefficient and a total eddy current loss coefficient of the iron core based on the target saturation magnetization, wherein the magnetic hysteresis loss coefficient is a relationship coefficient of energy loss generated by the iron core in the demagnetization process and the magnetic field strength, and the total eddy current loss coefficient is used to represent the power loss after the eddy current generated by the alternating current passing through the iron core.

[0137] The acquisition unit 404 is configured to input the initial performance parameter, the magnetic hysteresis loss coefficient and the total eddy current loss coefficient into a magnetostriction model for analysis to obtain the target performance parameter, wherein the magnetostriction model is established by the initial performance parameter, the historical magnetic hysteresis loss coefficient and the historical total eddy current loss coefficient of different high-frequency transformers.

[0138] Optionally, the acquisition unit 401 can include a measurement module configured to measure the iron core by using a measurement platform of the high-frequency transformer to obtain a magnetic characteristic curve; and a determination module configured to determine the initial performance parameter based on the magnetic characteristic curve.

[0139] Optionally, the measurement platform includes a signal generator, a high-voltage power amplifier, a direct-current blocking capacitor, a voltage probe, a current probe and an oscilloscope, and the measurement module can include a first generation sub-module configured to generate an original excitation signal by using the signal generator; a first acquisition sub-module configured to amplify the original excitation signal by using the high-voltage power amplifier to obtain an initial excitation signal; a second acquisition sub-module configured to filter the initial excitation signal by using the direct-current blocking capacitor to obtain a target excitation signal; a first determination sub-module configured to determine a voltage signal and a current signal based on the target excitation signal by using the voltage probe and the current probe respectively; and a second generation sub-module configured to generate the magnetic characteristic curve by using the oscilloscope based on the voltage signal and the current signal.

[0140] Optionally, the magnetic characteristic curve includes a magnetic hysteresis single-value curve and a magnetic hysteresis loop, wherein the magnetic hysteresis single-value curve is used to represent the magnetization characteristic of the iron core under the action of an external magnetic field, and the magnetic hysteresis loop is used to represent the relationship between the magnetization strength and the magnetic field of the iron core under the action of an external magnetic field.

[0141] Optionally, the acquisition unit 404 can include an acquisition module configured to acquire magnetostriction data of the iron core and target magnetostriction data corresponding to the magnetostriction data; a construction module configured to construct a fitness function based on the magnetostriction data and the target magnetostriction data; and an analysis module configured to input the initial performance parameter, the magnetic hysteresis loss coefficient and the total eddy current loss coefficient into the magnetostriction model for analysis based on the fitness function to obtain the target performance parameter.

[0142] Optionally, the constructing module can comprise: a third acquisition submodule, configured to perform difference operation on the magnetostriction data and the target magnetostriction data to obtain a target difference value; and a second determination submodule, configured to determine the fitness function based on the target difference value.

[0143] Optionally, the initial performance parameters comprise: initial magnetic permeability, initial coercivity, initial magnetic permeability of coercivity point, initial remanence, initial top point magnetic permeability of hysteresis loop, and initial top point value of hysteresis loop.

[0144] In the embodiment, the initial performance parameters of the core in the high-frequency transformer are collected by the collection unit, wherein the initial performance parameters are used to represent the magnetic properties of the core under different temperature conditions; the initial saturation magnetization is mapped based on a first temperature function of the initial saturation magnetization in the initial performance parameters by the mapping unit to obtain a target saturation magnetization, wherein the first temperature function is used to represent the corresponding relationship between the initial saturation magnetization and the temperature; the hysteresis loss coefficient and the total eddy current loss coefficient of the core are determined based on the target saturation magnetization by the determination unit, wherein the hysteresis loss coefficient is the relationship coefficient between the energy loss generated in the demagnetization process of the core and the magnetic field strength, and the total eddy current loss coefficient is used to represent the power loss after the eddy current generated by the alternating current passing through the core; the initial performance parameters, the hysteresis loss coefficient and the total eddy current loss coefficient are input into the magnetostriction model for analysis by the acquisition unit to obtain the target performance parameters, wherein the magnetostriction model is established by the initial performance parameters, the historical hysteresis loss coefficient and the historical total eddy current loss coefficient of different high-frequency transformers, thereby solving the technical problem that the performance parameters of the core in the high-frequency transformer cannot be accurately obtained, and realizing the technical effect that the performance parameters of the core in the high-frequency transformer can be accurately obtained.

[0145] According to the embodiment of the present application, a computer readable storage medium is also provided, which comprises a stored program, wherein the program, when executed by a processor, controls the device where the readable storage medium is located to perform the performance parameter acquisition method based on temperature change in the embodiment.

[0146] According to the embodiment of the present application, a processor is also provided, which is used to execute a program, wherein the program, when executed, performs the performance parameter acquisition method based on temperature change in the embodiment.

[0147] According to the embodiment of the present application, a computer program product is also provided, which comprises a computer program, and the computer program, when executed by a processor, implements the performance parameter acquisition method based on temperature change in the embodiment of the present application.

[0148] According to the embodiment of the present application, an electronic device is also provided, which includes a processor and a memory for storing processor-executable instructions. The processor is configured to execute the instructions to implement the temperature change based performance parameter obtaining method in the embodiment of the present application.

[0149] The above-mentioned embodiment numbers of the present application are only for description, and do not represent the advantages or disadvantages of the embodiments.

[0150] In the above-mentioned embodiments of the present application, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0151] In the several embodiments of the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-mentioned device embodiments are only illustrative, for example, the division of units can be a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, units or modules, which can be electrical or other forms.

[0152] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple units. Part or all of the units can be selected according to actual needs to achieve the purpose of the present embodiment.

[0153] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0154] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application, essentially or in other words, the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a plurality of instructions to make a computer device (which can be a personal computer, a server or a network device, etc.) execute all or part of the steps of the embodiments of the present application. The aforementioned storage medium includes: a U disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0155] The above is only the preferred embodiment of the present application, and it should be pointed out that for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, and these improvements and refinements should be considered as the protection scope of the present application.

Claims

1. A method for obtaining performance parameters based on temperature change, characterized in that: include: Collecting initial performance parameters of the iron core in the high-frequency transformer, wherein the initial performance parameters are used to characterize the magnetic properties of the iron core under different temperature conditions; performing mapping processing on the initial saturation magnetization based on a first temperature function of the initial performance parameter to obtain a target saturation magnetization, wherein the first temperature function is used to characterize a corresponding relationship between the initial saturation magnetization and temperature; Determining a hysteresis loss coefficient and a total eddy current loss coefficient of the iron core based on the target saturation magnetization, wherein the hysteresis loss coefficient is a coefficient representing a relationship between energy loss generated by the iron core during a demagnetization process and magnetic field strength, and the total eddy current loss coefficient is used to characterize power loss occurring after eddy currents are generated by an alternating current passing through the iron core; Inputting the initial performance parameters, the hysteresis loss coefficient, and the total eddy current loss coefficient into a magnetostrictive model for analysis to obtain target performance parameters, wherein the magnetostrictive model is established using the initial performance parameters, historical hysteresis loss coefficients, and historical total eddy current loss coefficients of different high-frequency transformers; The step of inputting the initial performance parameters, the hysteresis loss coefficient, and the total eddy current loss coefficient into a magnetostriction model for analysis to obtain target performance parameters includes: obtaining magnetostriction data of the iron core and target magnetostriction data corresponding to the magnetostriction data; constructing a fitness function based on the magnetostriction data and the target magnetostriction data; and inputting the initial performance parameters, the hysteresis loss coefficient, and the total eddy current loss coefficient into a magnetostriction model for analysis based on the fitness function to obtain the target performance parameters. Constructing a fitness function based on the magnetostrictive data and the target magnetostrictive data includes: performing a difference operation on the magnetostrictive data and the target magnetostrictive data to obtain a target difference value; and determining the fitness function based on the target difference value.

2. The method according to claim 1, characterized in that Collect the initial performance parameters of the core in the high-frequency transformer, including: Measuring the iron core using a measurement platform of the high-frequency transformer to obtain a magnetic characteristic curve; Based on the magnetic characteristic curve, the initial performance parameters are determined.

3. The method according to claim 2, characterized in that The measurement platform includes: a signal generator, a high-voltage power amplifier, a DC blocking capacitor, a voltage probe, a current probe and an oscilloscope. The iron core is measured using the measurement platform of the high-frequency transformer to obtain a magnetic characteristic curve, including: Using the signal generator, generating an original excitation signal; Amplifying the original excitation signal using the high-voltage power amplifier to obtain an initial excitation signal; Using the DC blocking capacitor, filtering the initial excitation signal to obtain a target excitation signal; Based on the target excitation signal, a voltage probe and a current probe are used to determine a voltage signal and a current signal respectively; The magnetic characteristic curve is generated using the oscilloscope based on the voltage signal and the current signal.

4. The method according to claim 3, characterized in that The magnetic characteristic curve includes: a single-value hysteresis curve and a hysteresis loop, wherein the single-value hysteresis curve is used to characterize the magnetization characteristics of the iron core under the action of an external magnetic field, and the hysteresis loop is used to characterize the relationship between the magnetization intensity of the iron core under the action of the external magnetic field and the change of the magnetic field.

5. The method according to claim 1, wherein The initial performance parameters include: initial magnetic permeability, initial coercive force, initial magnetic permeability at the coercive force point, initial remanence, initial vertex magnetic permeability of the hysteresis loop, and initial vertex value of the hysteresis loop.

6. A device for obtaining performance parameters based on temperature changes, characterized in that: include: A collection unit, used to collect initial performance parameters of the iron core in the high-frequency transformer, wherein the initial performance parameters are used to characterize the magnetic properties of the iron core under different temperature conditions; a mapping unit, configured to perform mapping processing on the initial saturation magnetization based on a first temperature function of the initial saturation magnetization in the initial performance parameter to obtain a target saturation magnetization, wherein the first temperature function is used to characterize a correspondence between the initial saturation magnetization and temperature; a determining unit, configured to determine a hysteresis loss coefficient and a total eddy current loss coefficient of the iron core based on the target saturation magnetization, wherein the hysteresis loss coefficient is a coefficient representing a relationship between energy loss generated by the iron core during a demagnetization process and magnetic field intensity, and the total eddy current loss coefficient is used to characterize power loss occurring after eddy currents are generated by an alternating current passing through the iron core; an acquisition unit, configured to input the initial performance parameters, the hysteresis loss coefficient, and the total eddy current loss coefficient into a magnetostrictive model for analysis to obtain target performance parameters, wherein the magnetostrictive model is established using the initial performance parameters, historical hysteresis loss coefficients, and historical total eddy current loss coefficients of different high-frequency transformers; The acquisition unit is further configured to acquire magnetostrictive data of the iron core and target magnetostrictive data corresponding to the magnetostrictive data; construct a fitness function based on the magnetostrictive data and the target magnetostrictive data; and input the initial performance parameters, the hysteresis loss coefficient, and the total eddy current loss coefficient into a magnetostrictive model for analysis based on the fitness function to obtain the target performance parameters. The acquisition unit is further configured to perform a difference operation on the magnetostrictive data and the target magnetostrictive data to obtain a target difference value; and determine the fitness function based on the target difference value.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored program, wherein when the program is executed by a processor, the device where the storage medium is located is controlled to execute the method according to any one of claims 1 to 5.

8. An electronic device, characterized in that: The method comprises one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 5.

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