Six-phase common-mode inductor structure based on single magnetic ring and preparation method thereof

Abstract

The application is suitable for the field of power electronics, and provides a six-phase common-mode inductor structure based on a single magnetic ring and a preparation method thereof, a single and integrally formed magnetic ring body, six-phase windings which are wound on the outer periphery of the magnetic ring body in sequence, in the same direction and with equal number of turns, and keep a fixed angular interval between each phase winding, and a sensing network which is arranged inside the magnetic ring body, the sensing network comprises multiple sensing channels which are distributed along the radial direction and the axial direction of the magnetic ring body, and multiple Hall sensors which are respectively accommodated in the sensing channels, the Hall sensors are used for collecting discrete magnetic flux density values of multiple preset grid point positions inside the magnetic ring body, the application actively avoids the occurrence of magnetic core saturation through real-time monitoring and prediction, ensures the continuous and effective filtering capability of the inductor under complex working conditions, and greatly improves the stability and reliability of the power system.

Description

Technical Field

[0001] This invention belongs to the field of power electronics technology, and particularly relates to a six-phase common-mode inductor structure based on a single magnetic ring and its preparation method. Background Technology

[0002] In fields such as new energy vehicles, multiphase motor drives, and high-density server power supplies, six-phase power systems are widely used due to their ability to provide higher power density and lower current ripple. Common-mode inductors are key components for suppressing electromagnetic interference in systems. In existing technologies, six-phase common-mode inductors are often constructed using six independent magnetic rings wound separately, or using E-type, U-type, or other combined magnetic cores to form complex multi-magnetic circuit structures. These solutions generally suffer from large size, heavy weight, and high cost. More importantly, it is difficult to guarantee the consistency of magnetic coupling between the phase windings, and the magnetic flux distribution within the magnetic core is an unobservable black box. When the system experiences load imbalance or broadband harmonic interference, the magnetic core may prematurely enter a saturation state, leading to a sharp drop in inductance, severe deterioration of filtering performance, and even system failure. Summary of the Invention

[0003] This invention provides a six-phase common-mode inductor structure based on a single magnetic ring and its fabrication method, aiming to address the aforementioned problems.

[0004] This invention is implemented as follows, including:

[0005] A single, one-piece molded magnetic ring body;

[0006] The six-phase windings are wound sequentially, in the same direction, and with an equal number of turns around the outer circumference of the magnetic ring body, and the windings of each phase maintain a fixed angular interval.

[0007] A sensing network is disposed inside the magnetic ring body. The sensing network includes multiple sensing channels distributed along the radial and axial directions of the magnetic ring body, and multiple Hall sensors respectively housed in the sensing channels. The Hall sensors are used to collect discrete magnetic flux density values ​​at multiple preset grid positions inside the magnetic ring body.

[0008] A non-magnetic shielding shell covers the magnetic ring body and the six-phase winding. The shielding shell is provided with inlet and outlet ports for leading out the six-phase winding and a data interface for uniformly transmitting all the Hall sensor signals.

[0009] Preferably, the plurality of sensing channels include radial sensing channels and axial sensing channels. Both the radial sensing channels and the axial sensing channels are non-through blind holes terminating inside the magnetic ring body, together forming a three-dimensional sensor implantation grid network.

[0010] Preferably, it also includes an auxiliary circuit module, which is fixed inside the shielding shell by an insulating bracket and electrically connected to preset compensation current injection taps on the six-phase windings.

[0011] Preferably, each Hall sensor is fixed in its corresponding sensing channel by an insulating sleeve made of high-temperature resistant polytetrafluoroethylene material, the insulating sleeve being used to achieve electrical isolation between the Hall sensor and the magnetic ring body.

[0012] The method for fabricating a six-phase common-mode inductor based on a single magnetic ring includes the following steps:

[0013] The real-time magnetic flux spatial distribution reconstruction step is used to set the discrete magnetic flux density dataset composed of the magnetic flux density values ​​output by all the Hall sensors and the real-time current dataset composed of the real-time current values ​​of the six-phase windings collected simultaneously as input at the first time node, and process them by a preset magnetic flux spatial reconstruction model to generate a global magnetic flux cloud map data that characterizes the complete magnetic field distribution inside the magnetic ring body.

[0014] The core local saturation state prediction step is used to scan and identify saturation risk areas where the magnetic flux density value reaches a preset saturation magnetic flux density threshold based on the global magnetic flux cloud map data, and to identify the target winding that plays a dominant role in the saturation risk area from the six-phase windings.

[0015] The adaptive filtering step based on the compensating magnetomotive force is used to first determine the target winding that plays a dominant role in the saturation of the saturation risk area when the saturation risk area is identified. Then, based on a preset maximum allowable induced voltage threshold and a preset mutual inductance parameter matrix between windings, a compensating current pulse waveform is derived for the physically adjacent windings of the target winding. Finally, the compensating current pulse waveform is injected into the physically adjacent windings through the auxiliary circuit module.

[0016] Preferably, the magnetic flux space reconstruction model is an algorithm model based on a deep neural network, which is pre-trained using a training dataset generated by electromagnetic field simulation to establish a nonlinear mapping relationship between the discrete magnetic flux density dataset, the real-time current dataset, and the global magnetic flux cloud map data.

[0017] Preferably, the step of predicting the local saturation state of the magnetic core further includes analyzing the rate of change of the magnetic flux density value within the saturation risk zone over time, and confirming the saturation risk when the rate of change over time exceeds a preset rate of change threshold.

[0018] Preferably, the maximum permissible induced voltage threshold is a safety value preset based on the rated voltage specifications of the downstream electronic components connected to the six-phase common-mode inductor; the inter-winding mutual inductance parameter matrix is ​​fixed data predetermined through electromagnetic field simulation or actual measurement calibration.

[0019] Compared with the prior art, the embodiments of this application have the following main advantages:

[0020] By integrating six phases on a single magnetic ring and incorporating a built-in sensor network, the size, weight, and cost are significantly reduced compared to traditional separate or combined solutions. From passive filtering to active regulation, the system stability is improved: This invention actively avoids core saturation through real-time monitoring and prediction, ensuring the inductor's continuous and effective filtering capability under complex operating conditions, and greatly improving the stability and reliability of the power system.

[0021] Achieving status visualization and enabling predictive maintenance: Through the magnetic flux reconstruction algorithm, the magnetic field distribution state inside the inductor is presented in a visual form for the first time, providing unprecedented data support for system status monitoring, fault diagnosis and predictive maintenance; Improving dynamic performance and adapting to complex operating conditions: Based on the adaptive filtering method of compensating magnetomotive force, the inductor can intelligently cope with dynamic changes such as load imbalance and harmonic impact, and always maintain the best working state, with filtering performance far exceeding that of traditional passive inductors. Attached Figure Description

[0022] Figure 1 This is a schematic diagram of the shielding shell structure;

[0023] Figure 2 This is a schematic diagram of the connection positions of the six-phase windings;

[0024] Figure 3 This is a schematic diagram of the connection structure between the magnetic ring body and the low-power auxiliary circuit;

[0025] Figure 4 This is a schematic diagram of the sensor channel structure;

[0026] Figure 5 This is a flowchart of the preparation method of the present invention;

[0027] In the diagram: 1. Magnetic ring body; 2. Radial sensing channel; 3. Axial sensing channel; 4. Insulating sleeve; 5. Hall sensor; 6. Six-phase winding; 7. Shielding shell; 8. Inlet and outlet ports; 9. Data interface; 10. Auxiliary circuit module; 11. Insulating support; 12. Compensation current injection tap. Detailed Implementation

[0028] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein in the specification of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having," and any variations thereof, in the specification, claims, and foregoing drawings of this application are intended to cover non-exclusive inclusion. The terms "first," "second," etc., in the specification, claims, or foregoing drawings of this application are used to distinguish different objects, not to describe a particular order.

[0029] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0030] Example 1

[0031] This invention provides a six-phase common-mode inductor structure based on a single magnetic ring, see [link to relevant documentation]. Figures 1 to 4 ,include:

[0032] A single, one-piece molded magnetic ring body 1;

[0033] The six-phase winding 6 is wound sequentially, in the same direction, and with an equal number of turns around the outer circumference of the magnetic ring body 1, and the windings of each phase maintain a fixed angular interval.

[0034] A sensing network is disposed inside the magnetic ring body 1. The sensing network includes multiple sensing channels distributed along the radial and axial directions of the magnetic ring body 1, and multiple Hall sensors 5 respectively housed in the sensing channels. The Hall sensors 5 are used to collect discrete magnetic flux density values ​​at multiple preset grid positions inside the magnetic ring body 1.

[0035] A non-magnetic shielding shell 7 covers the magnetic ring body 1 and the six-phase winding 6. The shielding shell 7 is provided with an inlet / outlet port 8 for leading out the six-phase winding 6 and a data interface 9 for uniformly transmitting the signals of all Hall sensors 5.

[0036] The six-phase common-mode inductor structure based on a single magnetic ring utilizes a single, integrally molded magnetic ring body 1 to support the six-phase windings 6. Compared to existing technologies that employ multiple independent magnetic rings or combined magnetic cores, this structure is more compact, helping to reduce the overall inductor's volume and weight, and improving the problem of uneven magnetic coupling between phase windings caused by inconsistent magnetic circuits of multiple magnetic cores. Based on this structure, a sensing network located inside the magnetic ring body 1 solves the technical challenge of unobservable internal magnetic field states in traditional inductors. This sensing network, through its internal path along a specific path... Multiple Hall sensors 5 distributed along the diameter can directly acquire discrete magnetic flux density values ​​at multiple preset grid points inside the magnetic ring body 1. These values ​​provide direct, physical-level data input for subsequent accurate evaluation of the overall working status of the magnetic core. The non-magnetic shielding shell 7 completely covers the magnetic ring body 1, the six-phase winding 6, and the sensing network, providing not only physical protection and electromagnetic shielding for the internal components, but also making the power connection and signal transmission of the inductor more regular and convenient, forming a highly integrated whole.

[0037] Multiple sensing channels include radial sensing channel 2 and axial sensing channel 3. Both radial sensing channel 2 and axial sensing channel 3 are non-through blind holes terminating inside the magnetic ring body 1, together forming a three-dimensional sensor implantation grid network.

[0038] The principles for determining the grid point locations are as follows: In the radial direction, sensing channels are arranged axially at least at the inner diameter, average radius, and outer diameter of the magnetic ring to capture the non-uniformity of radial magnetic flux distribution; in the axial direction, sensors are arranged at least at the top, middle, and bottom planes of the magnetic ring to monitor axial leakage flux and edge effects; in the circumferential direction, sensing channels are preferentially arranged directly below each phase winding and between two phase windings, as these are the locations where the magnetic field strength gradient changes most significantly. By pre-analyzing the magnetic field distribution under no-load, full-load, and unbalanced loads through finite element electromagnetic simulation, the peak points of magnetic flux density and high-rate-of-change regions can be located more accurately, thus ultimately determining the three-dimensional coordinates of the grid points.

[0039] Radial sensing channel 2 and axial sensing channel 3 are designed as non-through blind holes terminating inside the magnetic ring body 1. The main purpose is to provide space for the implantation of Hall sensor 5 without compromising the magnetic circuit integrity of the magnetic ring body 1. This design maintains the structural continuity of the magnetic ring body 1 and avoids abrupt changes in magnetic reluctance and increased magnetic leakage caused by slotting or through holes. These radial and axial non-through blind holes together form a three-dimensional sensor implantation grid network. The grid positions in this network are analyzed and selected to cover the key areas of magnetic flux density variation in the cross-section of the magnetic ring. By arranging Hall sensor 5 on this three-dimensional grid network, the collected discrete magnetic flux density values ​​have spatial representativeness, providing an effective data foundation for subsequent algorithmic reconstruction of the complete magnetic field distribution inside the entire magnetic ring.

[0040] It also includes an auxiliary circuit module 10, which is fixed inside the shielded housing 7 by an insulating bracket 11 and electrically connected to the preset compensation current injection taps 12 on the six-phase winding 6.

[0041] The auxiliary circuit module 10, serving as the physical carrier for performing active control functions, can be a programmable current source PCBA module with rapid response, built upon high-speed switching devices. This auxiliary circuit module 10 is fixed inside the shielded housing 7 via an insulating bracket 11. This connection method ensures structural stability and utilizes the shielded housing 7 to achieve good electromagnetic compatibility. The connection between the auxiliary circuit module 10 and the six-phase winding 6 is achieved through an electrical connection with a pre-installed compensation current injection tap 12 on the winding. The purpose of this connection is to establish an independent and precisely controllable current injection path, separated from the main power circuit of the six-phase winding 6. Through this path, the auxiliary circuit module 10 can inject compensation current into specific windings according to control commands to adjust the local magnetic field within the magnetic ring body 1, thereby providing the necessary hardware execution capability for achieving adaptive filtering. For example, multiple output terminals of the auxiliary circuit module 10 can be connected to the compensation taps of the six windings via independent wires, or through an integrated connector, as long as the accuracy and reliability of the current injection are ensured.

[0042] Each Hall sensor 5 is fixed in its corresponding sensing channel by an insulating sleeve 4 made of high-temperature resistant polytetrafluoroethylene material. The insulating sleeve 4 is used to achieve electrical isolation between the Hall sensor 5 and the magnetic ring body 1.

[0043] Each Hall sensor 5 is fixed within the sensing channel by an insulating sleeve 4. The insulating sleeve 4 is made of high-temperature resistant polytetrafluoroethylene (PTFE), chosen for its excellent electrical insulation and thermal stability. The core function of the insulating sleeve 4 is to achieve electrical isolation between the Hall sensor 5 and the magnetic ring body 1, preventing the potential of the magnetic ring body 1 from interfering with the signal output of the Hall sensor 5 and ensuring the purity of the acquired signal. At the same time, the insulating sleeve 4 also plays a precise mechanical positioning role, firmly fixing the Hall sensor 5 at a preset depth and position within the sensing channel, ensuring the constant coordinates of each sensing point in the three-dimensional sensor implantation grid network. This is the physical guarantee for the accuracy of the subsequent magnetic flux reconstruction algorithm.

[0044] Example 2

[0045] Methods for fabricating six-phase common-mode inductors based on a single magnetic ring, such as Figure 5 As shown, it includes the following steps:

[0046] The real-time magnetic flux spatial distribution reconstruction step is used to set the discrete magnetic flux density dataset composed of the magnetic flux density values ​​output by all Hall sensors 5 and the real-time current dataset composed of the real-time current values ​​of the six-phase windings 6 collected simultaneously as input at the first time node, and process them by a preset magnetic flux spatial reconstruction model to generate a global magnetic flux cloud map data that characterizes the complete magnetic field distribution inside the magnetic ring body 1.

[0047] The core local saturation state prediction step is used to scan and identify the saturation risk area where the magnetic flux density value reaches the preset saturation magnetic flux density threshold based on global magnetic flux cloud map data, and to identify the target winding that plays a dominant role in the saturation risk area from the six-phase winding 6.

[0048] The adaptive filtering step based on the compensating magnetomotive force is used to first determine the target winding that plays a dominant role in the saturation of the region when a saturation risk area is identified. Then, based on a preset maximum allowable induced voltage threshold and a preset mutual inductance parameter matrix between windings, a compensating current pulse waveform is derived for the physically adjacent windings of the target winding. Finally, the compensating current pulse waveform is injected into the physically adjacent windings through the auxiliary circuit module 10.

[0049] The derivation process of the compensation current pulse waveform is as follows:

[0050] Determine the compensation magnetomotive force: when in the target winding A saturation risk has been identified in the vicinity, requiring the generation of a compensating magnetomotive force. The size is related to the magnetic flux exceeding the saturation magnetic flux density threshold in this region. Proportional, that is

[0051]

[0052] in The effective magnetic reluctance of this region is determined; a compensation current is allocated: this compensation magnetomotive force is generated by the target winding. Two physically adjacent windings, for example and They are generated together; let the compensation currents be respectively and The number of turns of the winding is Since the number of turns is equal, the following condition is satisfied: To simplify control, the compensation task can be evenly distributed, i.e.:

[0053]

[0054] in, Injected into the target winding A physical adjacent winding The compensation current; Injected into the target winding Another physically adjacent winding The compensation current; The target winding that plays a dominant role in regional saturation;

[0055] Verify the induced voltage: Calculate the compensation current pulse in other uncompensated windings. Induced voltage generated on According to the preset inter-winding mutual inductance parameter matrix ,flow through winding Compensation current change rate In the winding The induced voltage generated above is:

[0056]

[0057] in, : Inter-winding mutual inductance parameter matrix One of the elements, representing the flow through the winding. Current changes in the winding The mutual inductance coefficient that generates the induced voltage; :flow through winding This refers to the compensation current of the physically adjacent windings that are being compensated. :time; : The number of the uncompensated winding; : The winding number to which the compensation current is injected;

[0058] Calculate the total induced voltage generated by the compensation current injected into all adjacent windings, and ensure its peak value. Not exceeding the preset maximum allowable induced voltage threshold ;

[0059] Generate pulse waveform: If the induced voltage does not exceed the limit, the auxiliary circuit module 10 generates a pulse waveform with the calculated amplitude. and preset pulse width The current pulse; if the induced voltage exceeds the limit, then according to Rate of change of reverse limiting current Accordingly, the rise time of the pulse is lengthened, or the current amplitude is reduced and the pulse width is increased, so as to inject sufficient compensating magnetic flux while satisfying the voltage constraint.

[0060] The fabrication method of a six-phase common-mode inductor based on a single magnetic ring transforms the inductor structure from a static component into a dynamically adjustable system through a series of interconnected steps. The real-time magnetic flux spatial distribution reconstruction step takes discrete magnetic flux density datasets collected by a sensor network and real-time current datasets from the six-phase winding 6 as inputs. After processing by the magnetic flux spatial reconstruction model, the aim is to obtain global magnetic flux cloud map data. This cloud map data transforms the previously invisible internal magnetic field state of the magnetic ring into analyzable, continuous digital information. The core local saturation state prediction step then scans the generated global magnetic flux cloud map data in real time to identify saturation risk zones where the magnetic flux density approaches the saturation threshold, thereby providing early warning of potential performance degradation issues. The adaptive filtering step based on the compensating magnetomotive force is an active intervention measure taken after the saturation risk is predicted. After identifying the target winding that causes the saturation risk, this step derives a compensation current pulse waveform for the physically adjacent windings of the target winding. This derivation process takes into account the voltage impact limitation on downstream components and the coupling effect between windings. Its purpose is to generate an effective and safe compensation scheme. The injection of compensation current is performed through the auxiliary circuit module 10. This method can actively and controllably eliminate local magnetic saturation and maintain the filtering performance of the inductor under complex operating conditions.

[0061] The magnetic flux space reconstruction model is an algorithm model based on deep neural networks. It is pre-trained using a training dataset generated by electromagnetic field simulation to establish a nonlinear mapping relationship between discrete magnetic flux density datasets, real-time current datasets and global magnetic flux cloud map data.

[0062] The magnetic flux spatial reconstruction model is an algorithm based on a deep neural network. The purpose of this model is to handle the complex nonlinear relationship between discrete magnetic flux density datasets, real-time current datasets, and global magnetic flux cloud map data, which is difficult to accurately describe using traditional analytical methods. The model's establishment relies on pre-training, which uses a large training dataset generated through electromagnetic field simulation. In the simulation, various loads and disturbance conditions are simulated to obtain multiple sets of input data, sensor readings and current values, and corresponding true output values, resulting in a complete magnetic field distribution cloud map. This pre-training method allows the deep neural network algorithm model to learn and master the measurement data from a few physical points and known magnetic field source information to accurately infer the laws governing the magnetic field distribution in the entire three-dimensional space, thus establishing a nonlinear mapping relationship between the two and enabling real-time and accurate reconstruction of the magnetic flux cloud map.

[0063] The step of predicting the local saturation state of the magnetic core also includes analyzing the rate of change of the magnetic flux density value over time in the saturation risk zone. When the rate of change over time exceeds a preset rate of change threshold, the saturation risk is confirmed.

[0064] The core local saturation prediction step, after determining whether the magnetic flux density value has reached a threshold, further incorporates an analysis of the time-varying rate of change of the magnetic flux density value within that region. This analysis aims to improve the accuracy and foresight of the prediction; a rapidly increasing time-varying rate of change, even if the current absolute value of the magnetic flux density has not yet reached the saturation threshold, indicates that the magnetic field in that region is rapidly increasing and is about to enter a saturation state. Therefore, when the monitored time-varying rate exceeds a preset threshold, the system confirms the existence of a saturation risk. This dual criterion of combining the absolute value and the rate of change of magnetic flux density allows the system to identify truly threatening saturation trends earlier, providing more sufficient response time for subsequent adaptive filtering steps.

[0065] The maximum permissible induced voltage threshold is a safety value pre-set based on the rated voltage specifications of the downstream electronic components connected to the six-phase common-mode inductor; the inter-winding mutual inductance parameter matrix is ​​fixed data pre-determined through electromagnetic field simulation or actual measurement calibration.

[0066] In deriving the compensation current pulse waveform, the maximum allowable induced voltage threshold and the inter-winding mutual inductance parameter matrix are two key constraints. The maximum allowable induced voltage threshold is set to ensure that the compensation action itself does not cause secondary damage to the power system. This threshold is a safe value determined based on the rated voltage specifications of downstream electronic components connected to the inductor. For example, by analyzing the technical manuals of all downstream components, the component with the lowest withstand voltage is identified, and a discount value of its specification is taken as the final threshold. This ensures that the voltage induced in other windings when the compensation current is injected will not exceed the safe operating range of any downstream component. The inter-winding mutual inductance parameter matrix serves to provide a physical basis for accurately calculating the impact of the compensation current on other windings. This matrix is ​​a fixed dataset describing the magnetic coupling strength between each phase winding. It can be modeled and calculated using high-precision electromagnetic field simulation software, or obtained through a one-time experimental calibration using specialized instruments after the inductor sample is manufactured. Pre-determining these two parameters allows the controller to quickly and accurately calculate a compensation current waveform that effectively suppresses saturation without causing overvoltage risks when compensation is required.

[0067] To enable those skilled in the art to better implement this invention, the method for determining the key preset threshold in the solution is now described in detail:

[0068] Regarding the preset saturation magnetic flux density threshold: This threshold is a safe operating point determined based on the BH magnetization curve of the magnetic material used in the magnetic ring body 1, such as ferrite, amorphous or nanocrystalline alloy. This threshold is usually set between 80% and 95% of the material's saturation magnetic flux density Bs. For example, if the saturation magnetic flux density Bs of the selected magnetic ring material is 0.5 Tesla T, then the preset saturation magnetic flux density threshold can be set to 0.45 T. The purpose of this setting is to ensure that when the magnetic flux density reaches this threshold, the permeability of the magnetic core has not dropped sharply, and sufficient margin is still maintained, so that subsequent compensation measures can be effectively implemented and the magnetic core can be prevented from becoming completely saturated.

[0069] Regarding the preset rate of change threshold: This threshold refers to the maximum allowable increment of magnetic flux density per unit time, typically measured in Tesla / second (T / s). Determining this threshold requires comprehensive consideration of the normal operating conditions of the power system connected to the inductor. One method is to analyze the maximum load step or the most severe current surge that may occur during normal system operation, and measure or simulate the maximum rate of change of magnetic flux density inside the magnetic ring under these conditions. Multiply this rate of change by a safety factor of 1.2 to 1.5 to obtain the final preset rate of change threshold. When the real-time monitored rate of change of magnetic flux density exceeds this threshold, it indicates that the system has experienced an abnormal current disturbance that may lead to rapid saturation, requiring immediate activation of the adaptive filtering program.

[0070] It should be noted that, for the sake of simplicity, the foregoing embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to the present invention. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0071] It should be understood that the disclosed apparatus can be implemented in other ways, given the several embodiments provided in this application. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of units described above may be implemented in other ways in practice. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or communication connections shown or discussed may be through some interfaces; indirect coupling or communication connections between devices or units may be telecommunications or other forms.

[0072] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0073] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit the scope of protection of the invention. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on these embodiments, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art can still combine, add, delete, or otherwise adjust the features of the various embodiments of the present invention according to the circumstances without conflict or creative effort, thereby obtaining different technical solutions that do not fundamentally depart from the concept of the present invention. These technical solutions also fall within the scope of protection of the present invention.

Claims

1. A single magnetic ring based six-phase common-mode inductance structure, characterized in that, The application relates to a single magnetic ring body (1) and a six-phase common-mode inductor. The six-phase winding (6) is sequentially, synchronously and equally wound around the outer periphery of the magnetic ring body (1) and is kept at a fixed angular interval. A sensing network is arranged inside the magnetic ring body (1), the sensing network comprises a plurality of sensing channels distributed along the radial direction and the axial direction of the magnetic ring body (1), and a plurality of Hall sensors (5) are arranged in the sensing channels respectively, the Hall sensors (5) are used for collecting discrete magnetic flux density values of a plurality of preset grid points inside the magnetic ring body (1). A non-magnetic shielding shell (7) is arranged outside the magnetic ring body (1) and the six-phase winding (6), the shielding shell (7) is provided with an inlet and outlet port (8) for leading out the six-phase winding (6) and a data interface (9) for uniformly transmitting signals of all the Hall sensors (5). The application further discloses a preparation method of the six-phase common-mode inductor applied to the single magnetic ring. The magnetic flux space distribution real-time reconstruction step is used for setting the discrete magnetic flux density data set composed of the magnetic flux density values output by all the Hall sensors (5) and the real-time current data set composed of the real-time current values of the six-phase winding (6) as inputs at a first time node, and processing the inputs by a preset magnetic flux space reconstruction model to generate a global magnetic flux cloud picture data representing the complete magnetic field distribution inside the magnetic ring body (1). The magnetic core local saturation state prediction step is used for scanning and identifying a saturation risk area with a magnetic flux density value reaching a preset saturation magnetic flux density threshold based on the global magnetic flux cloud picture data, and identifying a target winding having a leading role on the saturation risk area from the six-phase winding (6). The adaptive filtering step based on the compensation magnetic potential is used for determining the target winding having the leading role on the saturation risk area when the saturation risk area is identified, deriving a compensation current pulse waveform for physically adjacent windings of the target winding according to a preset maximum allowed induction voltage threshold and a preset winding mutual inductance parameter matrix, and finally injecting the compensation current pulse waveform into the physically adjacent windings through an auxiliary circuit module (10). The plurality of sensing channels comprise radial sensing channels (2) and axial sensing channels (3), the radial sensing channels (2) and the axial sensing channels (3) are both non-through blind holes terminated inside the magnetic ring body (1) and jointly form a three-dimensional sensor implantation grid network.

2. The single magnetic ring based six-phase common-mode inductance structure of claim 1, wherein, The application further discloses an auxiliary circuit module (10), the auxiliary circuit module (10) is fixed in the inside of the shielding shell (7) through an insulating support (11) and is electrically connected to preset compensation current injection taps (12) of the six-phase winding (6).

3. The single magnetic ring based six-phase common-mode inductance structure according to claim 2, characterized in that, ​ 4. The single magnetic ring based six-phase common-mode inductance structure of claim 1, wherein, Each of the Hall sensors (5) is fixed in its corresponding sensing channel by an insulating sleeve (4) made of high-temperature-resistant polytetrafluoroethylene material, which is used to achieve electrical isolation of the Hall sensor (5) from the magnetic ring body (1).

5. The single magnetic ring based six-phase common-mode inductance structure of claim 1, wherein, The magnetic flux space reconstruction model is an algorithm model based on a deep neural network, which is pre-trained by a training data set generated by electromagnetic field simulation to establish a nonlinear mapping relationship between the discrete magnetic flux density data set and the real-time current data set and the global magnetic flux cloud data.

6. The single magnetic ring based six-phase common-mode inductance structure of claim 1, wherein, The magnetic core local saturation state prediction step further includes analyzing the time rate of change of the magnetic flux density value in the saturation risk area, and confirming saturation risk when the time rate of change exceeds a preset change rate threshold.

7. The single magnetic ring based six-phase common-mode inductance structure of claim 1, wherein, The maximum allowable induced voltage threshold is a safety value pre-set according to the rated voltage specification of a downstream electronic component connected to the six-phase common-mode inductor; and the inter-winding mutual inductance parameter matrix is a fixed data pre-determined by electromagnetic field simulation or actual measurement calibration.

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