Method, device, equipment, medium and program for optimizing magnetic yoke of magnetic saturation compensation

Abstract

The application relates to the technical field of electromagnetic equipment, in particular to a magnetic yoke optimization method and device for magnetic saturation compensation, equipment, medium and program, wherein the method comprises the following steps: identifying a potential magnetic saturation area, configuring at least one compensation magnet in the potential magnetic saturation area; calculating the internal magnetic induction intensity of the magnetic yoke near the compensation magnet, and judging whether the plurality of characteristic parameters of the compensation magnet and the compensation effect satisfy a preset correlation condition; if yes, obtaining key parameters related to the compensation effect; determining a preliminary magnetic saturation compensation scheme, and iteratively optimizing the preliminary magnetic saturation compensation scheme until a preset iteration stop condition is satisfied, so that an optimized magnetic saturation scheme is obtained. Thus, the problems in the related art that the volume of the permanent magnet system is large, the system is difficult to assemble and disassemble, the magnetic field uniformity is limited, the integration and portability of the system are reduced, the maintenance cost is increased, the measurement accuracy and repeatability are affected, and the detection reliability is reduced are solved.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of electromagnetic equipment, and in particular to a magnetic yoke optimization method and device for magnetic saturation compensation, equipment, medium and program. BACKGROUND

[0002] The design of a magnet system has been a hotspot and difficulty in the development of a power balance. In the related art, the magnet system in the power balance can be divided into an electromagnet system and a permanent magnet system. The electromagnet system mainly generates a magnetic field through a coil, has the advantage of adjustable magnetic field direction, but the generated magnetic field is weak and generates a large amount of heat during operation. The permanent magnet system generates a strong magnetic field, does not generate heat during operation, and has small coil magnetic field coupling. Therefore, most institutions currently develop a power balance mainly using the permanent magnet system.

[0003] However, in the related art, the permanent magnet system has a large volume, which may affect the integration and portability of the system, the system assembly and disassembly are difficult, which increases the complexity of daily maintenance and future upgrade, increases the maintenance cost, affects the normal operation of the system, and the magnetic field uniformity is small, which cannot meet the strict requirement on the magnetic field uniformity, may affect the accuracy and repeatability of the measurement, increases the data error, and affects the reliability of the detection result, which needs to be improved. SUMMARY

[0004] The application provides a magnetic yoke optimization method for magnetic saturation compensation to solve the problems in the related art that the large volume of the permanent magnet system, the difficulty in system assembly and disassembly, and the limitation of the magnetic field uniformity may reduce the integration and portability of the system, increase the maintenance cost, and affect the measurement accuracy and repeatability, and reduce the detection reliability.

[0005] The first aspect of the application provides a magnetic yoke optimization method for magnetic saturation compensation, including the following steps: identifying a potential magnetic saturation region according to the magnetic flux distribution in an original magnet system, to configure at least one compensation magnet in the potential magnetic saturation region; calculating the internal magnetic induction intensity of the magnetic yoke near the compensation magnet based on a pre-established magnetic circuit model after magnetic saturation compensation, and combining the internal magnetic induction intensity to determine whether a plurality of characteristic parameters of the compensation magnet and a compensation effect meet a preset related condition, if the plurality of characteristic parameters of the compensation magnet and the compensation effect meet the preset related condition, obtaining a key parameter related to the compensation effect; determining a preliminary magnetic saturation compensation scheme according to the magnetic circuit model and the key parameter, and iteratively optimizing the preliminary magnetic saturation compensation scheme by using a finite element simulation technology until a preset iteration stop condition is met, to obtain an optimized magnetic saturation scheme.

[0006] Optionally, in an embodiment of the present application, the calculating the internal magnetic induction intensity of the magnetic yoke near the compensation magnet comprises: calculating a magnetic induction intensity generated by the main magnet in the magnetic yoke and a compensation magnetic induction intensity generated by the compensation magnet in the magnetic yoke; and calculating a difference between the magnetic induction intensity and the compensation magnetic induction intensity to obtain the internal magnetic induction intensity of the magnetic yoke near the compensation magnet.

[0007] Optionally, in an embodiment of the present application, the internal magnetic induction intensity of the magnetic yoke is expressed as:

[0008]

[0009] wherein B is the internal magnetic induction intensity of the magnetic yoke, B1 is the magnetic induction intensity generated by the main magnet in the magnetic yoke, B2 is the compensation magnetic induction intensity generated by the compensation magnet in the magnetic yoke, μ0 is the magnetic permeability of vacuum, H C is the residual coercivity of the samarium-cobalt material, S is the cross-sectional area size of the magnetic yoke perpendicular to the magnetic flux direction, A1 is the cross-sectional area of the main magnet perpendicular to the polarization direction, h is the cross-sectional area of the air gap perpendicular to the magnetic flux direction, l1 is the thickness of the main magnet along the polarization direction, a is the leakage magnetic coefficient, δ1 is the length of the air gap along the magnetic flux direction, A1 is the cross-sectional area of the main magnet perpendicular to the polarization direction, and A2 is the cross-sectional area of the compensation magnet perpendicular to the polarization direction.

[0010] Optionally, in an embodiment of the present application, before determining the preliminary magnetic saturation compensation scheme according to the magnetic circuit model and the key parameter, the method further comprises: performing effectiveness verification on the magnetic circuit model based on a pre-established finite element simulation model to obtain a verification result; and analyzing the adjustment effect of the key parameter on the compensation effect based on the verification result.

[0011] An embodiment of the second aspect of the present application provides a magnetic yoke optimization device for magnetic saturation compensation, comprising: a configuration module configured to identify a potential magnetic saturation area according to a magnetic flux distribution in a primary magnet system, so as to configure at least one compensation magnet in the potential magnetic saturation area; an acquisition module configured to calculate an internal magnetic induction intensity of a magnetic yoke near the compensation magnet based on a pre-established magnetic circuit model after magnetic saturation compensation, and to determine whether a plurality of characteristic parameters of the compensation magnet and a compensation effect satisfy a preset related condition in combination with the internal magnetic induction intensity, and to acquire a key parameter related to the compensation effect when the preset related condition is satisfied; and an optimization module configured to determine a preliminary magnetic saturation compensation scheme according to the magnetic circuit model and the key parameter, and to perform iterative optimization on the preliminary magnetic saturation compensation scheme by using a finite element simulation technology until a preset iteration stop condition is satisfied, so as to obtain an optimized magnetic saturation scheme.

[0012] Optionally, in an embodiment of the present application, the obtaining module comprises: a first calculating unit configured to calculate a magnetic induction intensity generated by the main magnet in the magnetic yoke and a compensation magnetic induction intensity generated by the compensation magnet in the magnetic yoke; and a second calculating unit configured to calculate a difference between the magnetic induction intensity and the compensation magnetic induction intensity, to obtain the internal magnetic induction intensity of the magnetic yoke near the compensation magnet.

[0013] Optionally, in an embodiment of the present application, the internal magnetic induction intensity of the magnetic yoke is expressed as:

[0014]

[0015] wherein B is the internal magnetic induction intensity of the magnetic yoke, B1 is the magnetic induction intensity generated by the main magnet in the magnetic yoke, B2 is the compensation magnetic induction intensity generated by the compensation magnet in the magnetic yoke, μ0 is the magnetic permeability of vacuum, H C is the residual coercivity of the samarium-cobalt material, S is the cross-sectional area size of the magnetic yoke perpendicular to the magnetic flux direction, A1 is the cross-sectional area of the main magnet perpendicular to the polarization direction, h is the cross-sectional area of the air gap perpendicular to the magnetic flux direction, l1 is the thickness of the main magnet along the polarization direction, α is the leakage coefficient, δ1 is the length of the air gap along the magnetic flux direction, A1 is the cross-sectional area of the main magnet perpendicular to the polarization direction, and A2 is the cross-sectional area of the compensation magnet perpendicular to the polarization direction.

[0016] Optionally, in an embodiment of the present application, the method further comprises: a first verifying module configured to verify the effectiveness of the magnetic circuit model based on a pre-established finite element simulation model before determining the preliminary magnetic saturation compensation scheme according to the magnetic circuit model and the key parameters, to obtain a verification result; and a second verifying module configured to analyze the adjusting effect of the key parameters on the compensation effect based on the verification result.

[0017] An electronic device is provided in a third aspect of the present application, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the program to implement the magnetic saturation compensation magnetic yoke optimization method as described in the above embodiments.

[0018] A computer readable storage medium is provided in a fourth aspect of the present application, which stores a computer program executable by a processor to implement the magnetic saturation compensation magnetic yoke optimization method as described above.

[0019] A computer program product is provided in a fifth aspect of the present application, which is executable to implement the magnetic saturation compensation magnetic yoke optimization method as described above.

[0020] The embodiment of the application can identify potential magnetic saturation areas by analyzing the magnetic flux distribution in the original magnet system, and configure a compensation magnet to calculate the internal magnetic induction intensity of the magnetic yoke near the compensation magnet based on the established magnetic circuit model, evaluate whether the characteristic parameters of the compensation magnet and the compensation effect meet the preset conditions, if the conditions are met, extract the key parameters related to the compensation effect, formulate a preliminary magnetic saturation compensation scheme, and use finite element simulation technology to iteratively optimize the scheme until the preset iteration stopping condition is reached, so as to obtain an optimized magnetic saturation compensation scheme, which can greatly reduce the magnetic flux and magnetic induction intensity in the magnetic yoke of the magnet system, avoid large-area saturation in the magnetic yoke, and effectively improve the performance and efficiency of the magnet system. Thus, the problems in the related art that the integration and portability of the system are reduced, the maintenance cost is increased, the measurement accuracy and repeatability are affected, and the detection reliability is reduced due to the large volume of the permanent magnet system, the difficulty of system assembly and disassembly, and the limitation of magnetic field uniformity are solved.

[0021] Additional aspects and advantages of the application will be set forth in part in the description which follows, and in part will become apparent to those skilled in the art upon examination of the following and / or can be learned by practice of the application. BRIEF DESCRIPTION OF DRAWINGS

[0022] The above and / or additional aspects and advantages of the application will become apparent and be readily understood by considering the following detailed description, including the accompanying drawings, in which:

[0023] Figure 1 A flowchart of a magnetic saturation compensation magnetic yoke optimization method according to an embodiment of the application;

[0024] Figure 2 A BIPM-type magnet magnetic induction intensity distribution diagram according to an embodiment of the application;

[0025] Figure 3 A schematic diagram of a quarter-section magnetic saturation compensation principle of a magnet system according to an embodiment of the application;

[0026] Figure 4 A schematic diagram of a main magnet magnetic circuit model according to an embodiment of the application;

[0027] Figure 5 A schematic diagram of a compensation magnet magnetic circuit model according to an embodiment of the application;

[0028] Figure 6 A curve diagram of air gap magnetic field magnetic induction intensity under different compensation magnet section width conditions according to an embodiment of the application;

[0029] Figure 7 A magnetic induction intensity cloud map simulation result diagram of different compensation magnet setting schemes according to an embodiment of the application;

[0030] Figure 8 Fig. 8 is a schematic diagram of a magnetic induction intensity distribution curve in an outer magnetic yoke of different thicknesses according to an embodiment of the present application;

[0031] Figure 9 Fig. 9 is a schematic diagram of a magnetic induction intensity distribution curve in an upper magnetic yoke of different thicknesses according to an embodiment of the present application;

[0032] Figure 10 Fig. 10 is a block diagram of a magnetic yoke optimization device for magnetic saturation compensation according to an embodiment of the present application;

[0033] Figure 11 Fig. 11 is a structural diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0034] Embodiments of the present application are described in detail below with reference to the accompanying drawings, in which the same or similar elements or elements having the same or similar functions are denoted by the same reference numerals throughout. The embodiments described below by reference to the accompanying drawings are exemplary and are intended to explain the present application, and cannot be understood as limiting the present application.

[0035] The magnetic saturation compensation magnetic yoke optimization method, device, equipment, medium and program of the embodiments of the present application are described below with reference to the accompanying drawings.

[0036] Before introducing the magnetic saturation compensation magnetic yoke optimization method of the embodiments of the present application, the related art is introduced in detail below. In the modern society, various production and economic activities cannot be separated from a unified, stable and reliable measurement system. At the 26th International Measurement Conference, the International Bureau of Weights and Measures announced that seven basic physical quantities would be defined by physical constants, thereby fully realizing the quantization of the International System of Units. According to the latest definition of the International Bureau of Weights and Measures, the mass unit kilogram is defined by the Planck constant h. Currently, the mainstream kilogram reproduction scheme includes the silicon ball method and the power balance method. Since the silicon ball used in the silicon ball method is difficult to process, standard measurement units in various countries, such as the United States NIST and the United Kingdom NPL, have successively launched research on the power balance.

[0037] In addition, the power balance can realize the correlation between the mass unit and the electromagnetic energy, and is a key instrument for realizing the quantumization of the mass standard. Its working modes include the force mode and the motion mode. In the force mode, an electric current is passed through a coil in a uniform magnetic field, and according to Ampere's law, the coil will be subjected to a force in the magnetic field. When the Ampere force of the coil is balanced with the gravity of the measured weight, the following equation is obtained:

[0038] mg = BLI

[0039] Wherein, m is the mass of the weight, g is the acceleration of gravity; B represents the magnetic flux density, I is the coil current, L is the coil width. In the motion mode, the coil does the cutting magnetic induction line motion, generates an induced voltage, according to the law of electromagnetic induction:

[0040] U = BLv

[0041] Wherein, U is the voltage across the coil, v is the speed of the coil relative to the magnetic field. If the product BL of the magnetic field and the coil is exactly the same in the two modes, it can be eliminated, and the mathematical model expression of the power balance is as follows:

[0042] mgv = UI

[0043] From the derivation process, it is not difficult to find that the key condition to ensure the accuracy and reliability of the measurement results of the power balance is that BL remains unchanged in the two modes. Therefore, the design of the magnet system has always been a hot and difficult point in the development of the power balance.

[0044] In view of the above related technologies, due to the large volume of the permanent magnet system, the difficulty of system assembly and disassembly, and the limitation of magnetic field uniformity, the integration and portability of the system may be reduced, the maintenance cost may be increased, and the measurement accuracy and repeatability may be affected, and the detection reliability may be reduced. The present application provides a magnetic saturation compensation magnetic yoke optimization method. In the method, the potential magnetic saturation area in the original magnet system can be identified by analyzing the magnetic flux distribution, and the compensation magnet can be configured. The internal magnetic induction intensity of the magnetic yoke near the compensation magnet is calculated based on the established magnetic circuit model, the characteristic parameters of the compensation magnet and the compensation effect are evaluated whether they meet the preset conditions, if the conditions are met, the key parameters related to the compensation effect are extracted, a preliminary magnetic saturation compensation scheme is formulated, and the scheme is iteratively optimized using finite element simulation technology until the preset iteration stopping condition is reached, thereby obtaining an optimized magnetic saturation compensation scheme. The magnetic flux and magnetic induction intensity in the magnetic yoke of the magnet system can be greatly reduced, the large-area saturation in the magnetic yoke can be avoided, and the performance and efficiency of the magnet system can be effectively improved. Thus, the problems of related technologies, such as the large volume of the permanent magnet system, the difficulty of system assembly and disassembly, and the limitation of magnetic field uniformity, which may reduce the integration and portability of the system, increase the maintenance cost, and affect the measurement accuracy and repeatability, and reduce the detection reliability, are solved.

[0045] Specifically, Figure 1 A flowchart of a magnetic saturation compensation magnetic yoke optimization method provided by an embodiment of the present application.

[0046] As Figure 1 shown, the magnetic saturation compensation magnetic yoke optimization method includes the following steps:

[0047] In step S101, a potential magnetic saturation region is identified according to a magnetic flux distribution in the original magnet system, and at least one compensation magnet is configured in the potential magnetic saturation region.

[0048] In actual implementation, the embodiment of the present application can analyze positions prone to magnetic saturation in the original magnet system, and configure compensation magnets at the positions. Specifically, the embodiment of the present application can analyze positions prone to magnetic saturation in the original magnet system by using finite element simulation software Ansoft Maxwell, and obtain a magnetic induction intensity distribution nephogram as shown in FIG. 2 by simulation. Figure 2 Figure 2 It can be known from FIG. 2 that magnetic saturation is prone to occur at positions where the cross-sectional area of the magnetic yoke is small (such as the portions of the outer magnetic yoke close to the bottom and the top), and local saturation points are also prone to occur at each corner.

[0049] It is worth noting that the embodiment of the present application places compensation magnets at positions where the cross-sectional area of the outer magnetic yoke is small. In order to minimize the influence of the compensation magnets on the air gap magnetic field and obtain the maximum compensation magnetic flux, the compensation magnets can be selected to be in contact with the magnetic yoke at both ends.

[0050] Optionally, the calculation formula of the volume V of the magnet system is as follows.

[0051]

[0052] wherein H is the height of the magnet system, and r is the radius of the magnet system. out

[0053] In summary, the radius of the magnet system is in a square relationship with the volume, and is in a linear relationship with the height. Therefore, compared with reducing the height of the magnet system, reducing the radius of the magnet system can more greatly reduce the volume of the magnet system, and thus, the magnetic saturation compensation of the outer magnetic yoke can be prioritized, that is, the compensation magnets are prioritized to be placed on the edge of the outer magnetic yoke.

[0054] The reasonable arrangement of the compensation magnets by the embodiment of the present application helps to improve the magnetic field uniformity, and the compensation magnets can specifically enhance the local magnetic field without increasing the burden of the main magnet, thereby improving the overall magnetic field strength of the system.

[0055] In step S102, the internal magnetic induction intensity of the magnetic yoke near the compensation magnet is calculated based on a pre-established magnetic saturation compensation magnetic circuit model, and whether the multiple characteristic parameters of the compensation magnet and the compensation effect satisfy a preset related condition is judged in combination with the internal magnetic induction intensity. If the preset related condition is satisfied, a key parameter related to the compensation effect is obtained.

[0056] In some embodiments, the internal magnetic induction intensity of the magnetic yoke near the compensation magnet can be calculated based on the magnetic circuit theory, and whether the multiple characteristic parameters of the compensation magnet and the compensation effect satisfy a preset related condition is judged in combination with the internal magnetic induction intensity. Figure 3 ​​As shown, the magnetic circuit analysis modeling can be performed on the quarter section of the BIPM type magnet, and the specific steps are as follows:

[0057] First, the magnetic flux generated by the main magnet in the yoke is calculated.

[0058] Combining Figure 4 As shown, the magnetic flux generated by the main magnet passes through the yoke and the air gap from the N pole to the S pole of the main magnet. According to the magnetic flux continuity theorem and the magnetic circuit Ohm's law, the following equation can be obtained:

[0059] H C1 l1=φ1(R yoke +R air +R m1 )

[0060] Where H C1 is the residual coercivity of the main magnet, l1 is the thickness of the main magnet along the polarization direction, φ1 is the main magnetic flux generated by the main magnet, R yoke , R air , R m1 are the magnetic resistance of the yoke, the air gap resistance and the internal resistance of the main magnet, respectively.

[0061] Since the yoke is made of high permeability ferromagnetic material, the magnetic resistance of the yoke is much smaller than the internal resistance of the main magnet and the air gap resistance, so it can be ignored. The internal resistance of the main magnet and the air gap resistance can be calculated by the following formula:

[0062]

[0063] Where A1 is the cross-sectional area of the main magnet perpendicular to the polarization direction, h is the cross-sectional area of the air gap perpendicular to the magnetic flux direction, δ1 is the length of the air gap along the magnetic flux direction, μ r1 and μ0 are the permeability of the samarium-cobalt magnet and vacuum, respectively, and α is the leakage coefficient, which is related to the shape of the air gap, the material and structure of the yoke.

[0064] Combining the above analysis, the magnetic induction intensity b1 generated by the main magnet in the yoke can be obtained as follows:

[0065]

[0066] Where S is the cross-sectional area of the yoke perpendicular to the magnetic flux direction.

[0067] Further, combining Figure 5 As shown, the compensation magnetic induction intensity generated by the compensation magnet in the yoke can be calculated according to the same steps as follows:

[0068]

[0069] Where H C2To compensate the residual coercivity of the magnet, φ2 is the main magnetic flux generated by the compensation magnet, R m2 To compensate the internal resistance of the magnet, A2 is the cross-sectional area of the compensation magnet perpendicular to the polarization direction, and l2 is the thickness of the compensation magnet along the polarization direction, μ r2 To compensate the permeability of the magnet.

[0070] In addition, the magnetic induction intensity B inside the magnetic yoke can be obtained as follows:

[0071]

[0072] It is worth noting that the compensation magnet and the main magnet are both made of samarium-cobalt material, so their residual coercivity and permeability are the same; since the permeability of samarium-cobalt material is very close to the vacuum permeability, they can be considered equal. According to the above analysis, the magnetic induction intensity B of the magnetic yoke can be simplified.

[0073] Optionally, in an embodiment of the present application, the expression of the internal magnetic induction intensity of the magnetic yoke is as follows:

[0074]

[0075] wherein B is the internal magnetic induction intensity of the magnetic yoke, B1 is the magnetic induction intensity generated by the main magnet in the magnetic yoke, B2 is the compensation magnetic induction intensity generated by the compensation magnet in the magnetic yoke, μ0 is the vacuum permeability, H C is the residual coercivity of the samarium-cobalt material, S is the cross-sectional area of the magnetic yoke perpendicular to the magnetic flux direction, A1 is the cross-sectional area of the main magnet perpendicular to the polarization direction, h is the cross-sectional area of the air gap perpendicular to the magnetic flux direction, l1 is the thickness of the main magnet along the polarization direction, δ1 is the length of the air gap along the magnetic flux direction, A1 is the cross-sectional area of the main magnet perpendicular to the polarization direction, A2 is the cross-sectional area of the compensation magnet perpendicular to the polarization direction, and α is the leakage coefficient, which can be calculated according to the relevant empirical formula or determined by comparison with the finite element simulation results. In the embodiment of the present application, the leakage coefficient α can be taken as 1.3 by comparing the calculation results of the magnetic circuit model and the finite element model.

[0076] Of course, in other embodiments, the embodiment of the present application can analyze the influence of the shape and material properties of the compensation magnet on the compensation effect based on the magnetic circuit model, and determine whether the multiple characteristic parameters of the compensation magnet and the compensation effect meet the preset related conditions according to the internal magnetic induction intensity. According to the magnetic circuit model, the compensation effect of the compensation magnet is only related to the cross-sectional area A2 of the compensation magnet perpendicular to the polarization direction. When , the magnetic induction intensity inside the magnetic yoke decreases with the increase of A2; in particular, when , the magnetic induction intensity is 0, and theoretically the magnetic yoke can be infinitely thin; when The magnetic induction intensity increases with the increase of A2. The preset related conditions include, but are not limited to, magnetic field intensity and distribution, magnetic field direction, and size, etc.

[0077] The embodiment of the present application can accurately evaluate the compensation effect by accurately calculating the internal magnetic induction intensity of the magnetic yoke near the compensation magnet, improve the efficiency of design and optimization, and quickly identify the key parameters affecting the compensation effect by combining the analysis results of the internal magnetic induction intensity, thereby effectively improving the performance of the magnetic circuit system and reducing resource waste and production cost.

[0078] Optionally, in an embodiment of the present application, calculating the internal magnetic induction intensity of the magnetic yoke near the compensation magnet comprises: calculating the magnetic induction intensity generated by the main magnet in the magnetic yoke and the compensation magnetic induction intensity generated by the compensation magnet in the magnetic yoke; and calculating the difference between the magnetic induction intensity and the compensation magnetic induction intensity to obtain the internal magnetic induction intensity of the magnetic yoke near the compensation magnet.

[0079] The embodiment of the present application is beneficial to accurately control the magnetic field distribution by calculating the magnetic induction intensity generated by the main magnet and the compensation magnet in the magnetic yoke respectively and further obtaining the difference between the two to determine the actual magnetic induction intensity inside the magnetic yoke after compensation. The difference calculation directly reflects the effect of the compensation magnet, which is helpful for quickly adjusting the compensation strategy, realizing more accurate magnetic field compensation, effectively reducing unnecessary magnetic field fluctuation or non-uniformity, and enhancing the adaptability and flexibility of the system.

[0080] In step S103, a preliminary magnetic saturation compensation scheme is determined according to the magnetic circuit model and the key parameters, and the finite element simulation technology is used to iteratively optimize the preliminary magnetic saturation compensation scheme until the preset iteration stopping condition is met, to obtain an optimized magnetic saturation scheme.

[0081] Specifically, the embodiment of the present application can preliminarily determine a magnetic saturation compensation scheme according to the magnetic circuit model, and further optimize it based on the finite element simulation to obtain the best magnetic saturation scheme. In order to reduce the volume of the magnet system as much as possible, the embodiment of the present application prioritizes the magnetic saturation compensation of the outer magnetic yoke, and then the upper and lower magnetic yokes, thereby combining the Figure 6 and Figure 7 As shown in the figures, the embodiment of the present application can select the scheme shown in the rightmost figure which can reduce the magnetic induction intensity of the outer magnetic yoke to the greatest extent by comparing the configuration schemes of four different compensation magnets. Figure 7 As shown in the rightmost figure.

[0082] Further, the embodiment of the present application can optimize the size of the magnetic yoke of the magnet system to reduce the volume and mass of the magnet system, and combine the Figure 8 and Table 1 to compare the internal magnetic induction intensity of the outer magnetic yoke at different thicknesses. Table 1 is a simulation result table of the magnetic induction intensity of the outer magnetic yoke.

[0083] Table 1

[0084] Outer yoke thinnest thickness / mm Average magnetic induction (uncompensated) / T Average magnetic induction (after compensation) / T 17.5 0.705 0.424 12.5 1.009 0.607 7.5 1.724 1.036 5 2.617 1.572

[0085] In an embodiment of the present application, the magnetic yoke material is electrical pure iron, and the saturation magnetic induction thereof is generally about 1.5-2T, so that the thinnest thickness of the optimized outer magnetic yoke is 7.5mm. In the same way, the sizes of the upper and lower magnetic yokes are optimized, and the optimized sizes of the upper and lower magnetic yokes can be as follows: Figure 9 The magnetic induction inside the upper and lower magnetic yokes at different thicknesses is obtained as shown in Table 2 and Table 3.

[0086] Table 2

[0087] Upper yoke thickness / mm Average magnetic induction (uncompensated) / T Average magnetic induction (after compensation) / T 30 0.685 0.506 25 0.822 0.607 20 1.024 0.758 15 1.365 1.011

[0088] In addition, based on the finite element simulation analysis, the optimized sizes of the magnetic yokes can be obtained as shown in Table 3, and Table 3 is a comparison table of key geometric parameters of related art and the present application.

[0089] Table 3

[0090] Geometric parameters Related art The present application Outer yoke thinnest thickness (mm) 17.5 7.5 Upper and lower yoke thickness (mm) 30 15 Overall outer diameter (mm) 220 200 Overall height (mm) 180 150

[0091] Compared with related art, the volume of the optimized magnetic system is reduced by 31.13%, and the mass is reduced by 14.16kg.

[0092] In summary, from the simulation results and the finally obtained optimization scheme, it can be seen that the magnetic yoke optimization method of the BIPM type magnetic system based on the magnetic saturation compensation principle proposed in the present application can reduce the size of the external magnetic yoke without changing the internal structure of the magnetic system, reduce the mass of the magnetic system, and the reduced magnetic yoke is still in an unsaturated state. In addition, under the condition that the compensation magnetic cross-section width is appropriate, the method basically has no effect on the properties of the air gap magnetic field, can effectively reduce the volume and mass of the BIPM type magnetic system in the power balance, and has important guiding significance for the miniaturization and light weight of the power balance.

[0093] Optionally, in an embodiment of the present application, before determining the preliminary magnetic saturation compensation scheme according to the magnetic circuit model and the key parameters, it further includes: verifying the effectiveness of the magnetic circuit model based on a pre-established finite element simulation model to obtain a verification result; and analyzing the adjusting effect of the key parameters on the compensation effect based on the verification result.

[0094] Specifically, the embodiment of the present application can verify the effectiveness of the magnetic circuit model through finite element simulation, and verify and analyze the influence of key parameters. By building a BIPM type magnet system simulation model with an added compensation magnet in Ansoft Maxwell software, changing the cross-sectional area of the compensation magnet, recording the data of the magnetic induction intensity in the yoke, and observing the changes of the air gap magnetic field. As shown in Table 4, by analyzing the calculation results of the magnetic circuit model and the finite element model, it can be known that the results obtained by the two are similar, and the change trend is the same, verifying the effectiveness of the obtained magnetic circuit model. Table 4 is a comparison table of the calculation results of the magnetic circuit model and the finite element model.

[0095] Table 4

[0096] Outer yoke thinnest thickness / mm Calculated magnetic induction / T Simulated magnetic induction / T 17.5 0.425 0.424 12.5 0.595 0.607 7.5 0.992 1.036 5 1.489 1.572

[0097] Therefore, the finite element simulation results show that when the cross-sectional area of the compensation magnet is larger and exceeds the inner surface of the yoke, it will have a greater impact on the uniform region of the air gap magnetic field, and at the same time, the magnetic induction intensity in the air gap is reduced; when the cross-sectional area is small, a new saturation point will be generated at the place where the compensation magnet contacts the inner surface of the yoke. Therefore, it should be ensured that the inside of the yoke remains flat after the compensation magnet is configured. That is, if the thickness difference between the thicker and thinner regions of the outer yoke is denoted as Δx, then the cross-sectional width of the compensation magnet should be:

[0098]

[0099] The embodiment of the present application verifies the effectiveness of the magnetic circuit model based on the pre-established finite element simulation model, analyzes the adjusting effect of key parameters on the compensation effect, is conducive to reducing the risk and cost of failure, can systematically optimize the compensation scheme, ensures the optimal compensation effect, achieves the required magnetic field uniformity and strength, and effectively enhances the reliability and accuracy of the design.

[0100] The magnetic yoke optimization method for magnetic saturation compensation provided in the embodiments of the present application can identify potential magnetic saturation areas by analyzing the magnetic flux distribution in the original magnet system, configure compensation magnets, calculate the internal magnetic induction intensity of the magnetic yoke near the compensation magnets based on the established magnetic circuit model, evaluate whether the characteristic parameters of the compensation magnets and the compensation effect meet the preset conditions, extract the key parameters related to the compensation effect if the conditions are met, formulate a preliminary magnetic saturation compensation scheme, and iteratively optimize the scheme using finite element simulation technology until the preset iteration stopping condition is met, so as to obtain an optimized magnetic saturation compensation scheme, which can greatly reduce the magnetic flux and magnetic induction intensity in the magnetic yoke of the magnet system, avoid large-area saturation in the magnetic yoke, and effectively improve the performance and efficiency of the magnet system. In this way, the problems in the related art that the integration and portability of the system are reduced, the maintenance cost is increased, the measurement accuracy and repeatability are affected, and the detection reliability is reduced due to the large volume of the permanent magnet system, the difficulty in system assembly and disassembly, and the limitation of magnetic field uniformity are solved.

[0101] Secondly, the magnetic yoke optimization device for magnetic saturation compensation provided in the embodiments of the present application is described with reference to the accompanying drawings.

[0102] Figure 10 FIG. 1 is a block schematic diagram of the magnetic yoke optimization device for magnetic saturation compensation in the embodiments of the present application.

[0103] As shown in FIG. 1, the magnetic yoke optimization device 10 for magnetic saturation compensation includes a configuration module 100, an acquisition module 200, and an optimization module 300. Figure 10

[0104] Specifically, the configuration module 100 is configured to identify potential magnetic saturation areas according to the magnetic flux distribution in the original magnet system, so as to configure at least one compensation magnet in the potential magnetic saturation areas.

[0105] The acquisition module 200 is configured to calculate the internal magnetic induction intensity of the magnetic yoke near the compensation magnets based on the pre-established magnetic circuit model after magnetic saturation compensation, and determine whether the multiple characteristic parameters of the compensation magnets and the compensation effect meet the preset related conditions in combination with the internal magnetic induction intensity, and acquire the key parameters related to the compensation effect when the preset related conditions are met.

[0106] The optimization module 300 is configured to determine a preliminary magnetic saturation compensation scheme according to the magnetic circuit model and the key parameters, iteratively optimize the preliminary magnetic saturation compensation scheme using finite element simulation technology until the preset iteration stopping condition is met, and obtain an optimized magnetic saturation scheme.

[0107] Optionally, in an embodiment of the present application, the acquisition module 200 includes a first calculation unit and a second calculation unit.

[0108] ​The first calculation unit is configured to calculate a magnetic induction intensity generated by the main magnet in the magnetic yoke and a compensation magnetic induction intensity generated by the compensation magnet in the magnetic yoke.

[0109] The second calculation unit is configured to calculate a difference between the magnetic induction intensity and the compensation magnetic induction intensity, to obtain an internal magnetic induction intensity of the magnetic yoke near the compensation magnet.

[0110] Optionally, in an embodiment of the present application, an expression of the internal magnetic induction intensity of the magnetic yoke is as follows:

[0111]

[0112] wherein B is the internal magnetic induction intensity of the magnetic yoke, B1 is the magnetic induction intensity generated by the main magnet in the magnetic yoke, B2 is the compensation magnetic induction intensity generated by the compensation magnet in the magnetic yoke, μ0 is a magnetic permeability of vacuum, H C is a residual coercivity of the samarium-cobalt material, S is a cross-sectional area size of the magnetic yoke perpendicular to a magnetic flux direction, A1 is a cross-sectional area of the main magnet perpendicular to a polarization direction, h is a cross-sectional area of the air gap perpendicular to the magnetic flux direction, l1 is a thickness of the main magnet along the polarization direction, α is a leakage magnetic coefficient, δ1 is a length of the air gap along the magnetic flux direction, A1 is the cross-sectional area of the main magnet perpendicular to the polarization direction, and A2 is a cross-sectional area of the compensation magnet perpendicular to the polarization direction.

[0113] Optionally, in an embodiment of the present application, the method further comprises a first verification module and a second verification module.

[0114] The first verification module is configured to, before determining the preliminary magnetic saturation compensation scheme according to the magnetic circuit model and the key parameters, perform effectiveness verification on the magnetic circuit model based on a pre-established finite element simulation model, to obtain a verification result.

[0115] The second verification module is configured to, based on the verification result, analyze an adjusting effect of the key parameters on the compensation effect.

[0116] It should be noted that the foregoing explanation and description of the magnetic yoke optimization method embodiment for magnetic saturation compensation also apply to the magnetic yoke optimization device for magnetic saturation compensation, and thus will not be described herein again.

[0117] The magnetic yoke optimization device for magnetic saturation compensation provided by the embodiment of the present application can identify potential magnetic saturation areas by analyzing the magnetic flux distribution in the original magnet system, and configure compensation magnets to calculate the internal magnetic induction intensity of the magnetic yoke near the compensation magnets based on the established magnetic circuit model, evaluate whether the characteristic parameters of the compensation magnets and the compensation effect meet the preset conditions, if the conditions are met, extract the key parameters related to the compensation effect, formulate a preliminary magnetic saturation compensation scheme, and use finite element simulation technology to iteratively optimize the scheme until the preset iteration stopping condition is reached, so as to obtain an optimized magnetic saturation compensation scheme, which can greatly reduce the magnetic flux and magnetic induction intensity in the magnetic yoke of the magnet system, avoid the occurrence of large-area saturation in the magnetic yoke, and effectively improve the performance and efficiency of the magnet system. Thus, the problems in the related art that the integration and portability of the system are reduced, the maintenance cost is increased, the measurement accuracy and repeatability are affected, and the detection reliability is reduced due to the large volume of the permanent magnet system, the difficulty of system assembly and disassembly, and the limitation of magnetic field uniformity are solved.

[0118] Figure 11 The structure schematic diagram of the electronic device provided by the embodiment of the present application is provided. The electronic device can include:

[0119] The memory 1101, the processor 1102, and the computer program stored in the memory 1101 and executable on the processor 1102.

[0120] The processor 1102 implements the magnetic yoke optimization method for magnetic saturation compensation provided in the above embodiment when executing the program.

[0121] Further, the electronic device further includes:

[0122] The communication interface 1103 is used for communication between the memory 1101 and the processor 1102.

[0123] The memory 1101 is used to store the computer program executable on the processor 1102.

[0124] The memory 1101 can include a high-speed RAM memory, and can also include a non-volatile memory, for example, at least one disk memory.

[0125] If the memory 1101, the processor 1102 and the communication interface 1103 are implemented independently, the communication interface 1103, the memory 1101 and the processor 1102 can be connected with each other through a bus and complete communication between each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For convenience of representation, Figure 11 Only one thick line is used to represent the bus in the figure, but it does not mean that there is only one bus or only one type of bus.

[0126] Optionally, in a specific implementation, if the memory 1101, the processor 1102 and the communication interface 1103 are integrated on a chip, the memory 1101, the processor 1102 and the communication interface 1103 can complete communication between each other through an internal interface.

[0127] The processor 1102 can be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0128] The embodiments of the present application further provide a computer readable storage medium, which stores a computer program, and the program is executed by a processor to implement the magnetic yoke optimization method for magnetic saturation compensation as above.

[0129] The embodiments of the present application further provide a computer program product, which can run computer instructions, and the computer instructions are executed by a processor to implement the magnetic yoke optimization method for magnetic saturation compensation as above.

[0130] In the description of the application, reference to "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" means that a particular feature, structure, material, or characteristic being described is included in at least one embodiment or example of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment or example. Furthermore, the described specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples. In addition, the usage of "N" means at least two, for example, two, three or the like, unless explicitly stated otherwise.

[0131] Furthermore, the terms "first", "second", or the like, are used merely as a designation of certain elements or features, and do not imply or connote relative importance or a specific order of categorization of the indicated features. Accordingly, features described as "first" or "second" can be explicitly or implicitly included in at least one of the features. In the description of the application, the term "N" means at least two, for example, two, three, etc., unless explicitly stated otherwise.

[0132] Any process or method descriptions or blocks in flow charts or otherwise described herein represent embodiments which can be managed as one or more modules, segments, or portions of code which include one or more executable instructions for implementing specific logic functions or steps, and alternate implementations are possible. In some embodiments, the processes and methods described can be executably encoded on a machine- readable medium in a data signal embodied in an electromagnetic signal, a wireless signal, or a propagated signal.

[0133] The logic and / or steps represented in the flowcharts and / or described herein, for example, can be considered as a sequence of executable instructions, and can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor- containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For purposes of this specification, a "computer-readable medium" can be any apparatus that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. The computer-readable medium can be a product of the manufacturing and / or processing. The computer-readable medium can include, but is not limited to, the following: an electronic connection (an electronic device with one or N wires), a portable computer diskette (a magnetic device), a RAM (random access memory), a ROM (read-only memory), an EPROM (erasable programmable ROM) or a Flash memory, an optical fiber, and a portable CD ROM. In addition, the computer-readable medium can even be paper or other suitable medium upon which the program can be printed, because the program can be electronically captured, via the optically scanning of the paper or other medium, then compiled, interpreted, or otherwise processed in an electronic manner into a computer storage medium, and then stored in the computer storage medium.

[0134] It should be understood that aspects of the application can be implemented in hardware, software, firmware or combinations thereof. In the above embodiments, the N steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware and in another embodiment, the hardware can be implemented using any or a combination of the following technologies, which are all well known in the art: a discrete logic circuit having logic gates for implementing logic functions upon data signals, an application specific integrated circuit having appropriate combinational logic gates, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0135] Those of skill in the art would understand that the steps carried out in the above-mentioned embodiments can be implemented by programs instructing relevant hardware to complete all or part of the steps, and the programs can be stored in a computer-readable storage medium. When the programs are executed, the programs include one of the steps of the method embodiments or a combination thereof.

[0136] In addition, each of the functional units in the various embodiments of the present application can be integrated in one processing module, or each of the units can be physically present separately, or two or more units can be integrated in one module. The integrated module can be realized in the form of hardware or in the form of a software functional module. When the integrated module is realized in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer readable storage medium.

[0137] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it should be understood that the above embodiments are exemplary and should not be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above embodiments within the scope of the present application.

Claims

1. A method for optimizing a magnetic yoke with magnetic saturation compensation, characterized in that, Includes the following steps: Based on the magnetic flux distribution in the original magnet system, potential magnetic saturation regions are identified, and at least one compensating magnet is configured in the potential magnetic saturation regions. Based on the pre-established magnetic circuit model after magnetic saturation compensation, the internal magnetic induction intensity of the yoke near the compensation magnet is calculated, and the internal magnetic induction intensity is combined to determine whether multiple characteristic parameters of the compensation magnet and the compensation effect meet the preset related conditions. If the preset related conditions are met, the key parameters related to the compensation effect are obtained. Based on the magnetic circuit model and the key parameters, a preliminary magnetic saturation compensation scheme is determined, and the preliminary magnetic saturation compensation scheme is iteratively optimized using finite element simulation technology until the preset iteration stop condition is met, thus obtaining the optimized magnetic saturation scheme. The calculation of the internal magnetic flux density of the yoke near the compensating magnet includes: calculating the magnetic flux density generated by the main magnet in the yoke and the compensating magnetic flux density generated by the compensating magnet in the yoke; calculating the difference between the magnetic flux density and the compensating magnetic flux density to obtain the internal magnetic flux density of the yoke near the compensating magnet. The expression for the internal magnetic induction intensity of the magnetic yoke is as follows: in, The internal magnetic flux density of the yoke. The magnetic flux density generated by the main magnet in the yoke. To compensate for the compensating magnetic induction intensity generated by the magnet in the yoke. The permeability of vacuum. For the residual coercivity of samarium cobalt materials, S Let be the cross-sectional area of ​​the yoke perpendicular to the direction of the magnetic flux. The cross-sectional area of ​​the main magnet perpendicular to the polarization direction. h Let be the cross-sectional area of ​​the air gap perpendicular to the direction of magnetic flux. The thickness of the main magnet along the polarization direction. The leakage coefficient is... The length of the air gap along the magnetic flux direction. The cross-sectional area of ​​the main magnet perpendicular to the polarization direction. To compensate for the cross-sectional area of ​​the magnet perpendicular to the polarization direction.

2. The method according to claim 1, characterized in that, Before determining the preliminary magnetic saturation compensation scheme based on the magnetic circuit model and the key parameters, the following steps are also included: The effectiveness of the magnetic circuit model was verified based on a pre-established finite element simulation model, and the verification results were obtained. Based on the verification results, the regulatory effect of the key parameters on the compensation effect is analyzed.

3. A magnetic yoke optimization device for magnetic saturation compensation, characterized in that, include: A configuration module is used to identify potential magnetic saturation regions based on the magnetic flux distribution in the original magnet system, so as to configure at least one compensating magnet in the potential magnetic saturation regions. The acquisition module is used to calculate the internal magnetic induction intensity of the magnetic yoke near the compensation magnet based on the pre-established magnetic circuit model after magnetic saturation compensation, and to determine whether multiple characteristic parameters of the compensation magnet and the compensation effect meet preset related conditions in combination with the internal magnetic induction intensity. When the preset related conditions are met, the key parameters related to the compensation effect are acquired. The optimization module is used to determine a preliminary magnetic saturation compensation scheme based on the magnetic circuit model and the key parameters, and to iteratively optimize the preliminary magnetic saturation compensation scheme using finite element simulation technology until a preset iteration stop condition is met, thereby obtaining the optimized magnetic saturation scheme. The acquisition module includes: a first calculation unit for calculating the magnetic induction intensity generated by the main magnet in the yoke and the compensation magnetic induction intensity generated by the compensation magnet in the yoke; and a second calculation unit for calculating the difference between the magnetic induction intensity and the compensation magnetic induction intensity to obtain the internal magnetic induction intensity of the yoke near the compensation magnet. The expression for the internal magnetic induction intensity of the magnetic yoke is as follows: in, The internal magnetic flux density of the yoke. The magnetic flux density generated by the main magnet in the yoke. To compensate for the compensating magnetic induction intensity generated by the magnet in the yoke. The permeability of vacuum. For the residual coercivity of samarium cobalt materials, S Let be the cross-sectional area of ​​the yoke perpendicular to the direction of the magnetic flux. The cross-sectional area of ​​the main magnet perpendicular to the polarization direction. h Let be the cross-sectional area of ​​the air gap perpendicular to the direction of magnetic flux. The thickness of the main magnet along the polarization direction. The leakage coefficient is... The length of the air gap along the magnetic flux direction. The cross-sectional area of ​​the main magnet perpendicular to the polarization direction. To compensate for the cross-sectional area of ​​the magnet perpendicular to the polarization direction.

4. The apparatus according to claim 3, characterized in that, Also includes: The first verification module is used to verify the effectiveness of the magnetic circuit model based on a pre-established finite element simulation model before determining the preliminary magnetic saturation compensation scheme according to the magnetic circuit model and the key parameters, and to obtain the verification results. The second verification module is used to analyze the regulatory effect of the key parameters on the compensation effect based on the verification results.

5. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the program to implement the magnetic yoke optimization method for magnetic saturation compensation as described in any one of claims 1-2.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the magnetic yoke optimization method for magnetic saturation compensation as described in any one of claims 1-2.

7. A computer program product, comprising a computer program, characterized in that, The computer program is executed to implement the magnetic yoke optimization method for magnetic saturation compensation as described in any one of claims 1-2.

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