Method and system for controlling low inductive reactance and low transient impulse voltage

Abstract

The invention belongs to the technical field of low-voltage power distribution, and particularly relates to a control method and system for low inductive reactance and low transient impulse voltage, the magnetic flux density and the change rate of a magnetic core are collected in real time through a sensor, a dynamic threshold value is calculated based on the magnetic flux density, and the critical point of the magnetic core entering a nonlinear magnetization area is accurately identified. And comparing the magnetic flux density monitored in real time with a dynamic threshold value, generating a deviation signal and judging the state of the magnetic core. Once it is confirmed that the magnetic core is in a non-linear magnetization state, an adjustment mechanism is triggered immediately, winding current distribution is adjusted to change the magnetic flux path length of the magnetic core, and periodic pulse signals are applied to prevent depth saturation of the magnetic core. In addition, by monitoring the adjusted magnetic core magnetic flux density recovery rate, demagnetization processing parameters and pulse signal strategies are optimized, and continuous and efficient operation of the system is ensured. According to the method, the transient voltage suppression capability and stability of the system are remarkably improved, and the overall performance and reliability are enhanced.

Description

Technical Field

[0001] The present invention belongs to the technical field of low-voltage power distribution, and in particular relates to a control method and system for low-inductance and low-transient impulse voltage. Background Art

[0002] In existing low-voltage power distribution systems, the nonlinear magnetization characteristics of magnetic core materials often lead to a sudden decrease in transient voltage suppression capabilities, posing a serious threat to system stability and safety. Traditional methods typically rely on current transformers (CTs) to detect residual current in the system and implement leakage protection using fixed thresholds. However, this approach has significant limitations: when the magnetic core enters saturation, its nonlinear magnetization leads to decreased detection accuracy and delayed response, making it impossible to effectively suppress transient voltage surges, increasing the risk of damage to electrical equipment and safety accidents.

[0003] Specifically, existing technologies lack effective monitoring and adaptive adjustment mechanisms for the real-time state of the magnetic core when faced with dynamic changes in complex electromagnetic environments. For example, in the presence of sudden load changes or high-harmonic interference, traditional fixed-threshold methods struggle to accurately capture changes in the core's state, thus affecting the stability of the entire system. Furthermore, traditional methods typically utilize mechanical relays or simple electronic components for control, which have slow response speeds and are unable to adapt to rapidly changing operating conditions, further exacerbating these issues.

[0004] Therefore, how to ensure that the system's transient voltage suppression capability does not suddenly decay when the magnetic core is in a nonlinear magnetization state is an urgent problem that needs to be solved. Summary of the Invention

[0005] The purpose of the present invention is to provide a control method and system for low inductance and low transient impulse voltage, which realizes accurate monitoring and adaptive adjustment of the core state, effectively solves the problem of sudden attenuation of transient voltage suppression capability of traditional methods under complex working conditions, and improves the overall performance and reliability of the system.

[0006] To achieve the above object, the present invention adopts the following technical solution: a method for controlling low inductive reactance and low transient impulse voltage, comprising the following steps: The magnetic flux density and its change rate of the magnetic core are collected by a sensor, and a dynamic threshold is calculated based on the change rate of the magnetic flux density. The dynamic threshold is used to represent the critical point at which the magnetic core enters the nonlinear magnetization region; Comparing the real-time monitored magnetic flux density with the dynamic threshold to generate a deviation signal; Determining whether the magnetic core is in a nonlinear magnetization state based on the deviation signal, and triggering an adjustment mechanism if it is, including: changing the magnetic flux path length of the magnetic core by adjusting the winding current distribution; applying a periodic pulse signal to the winding; The recovery rate of the magnetic flux density of the adjusted magnetic core is monitored to verify whether the suppression capability is improved, and the demagnetization processing parameters of the magnetic core are adjusted according to the recovery rate to optimize the pulse signal application strategy.

[0007] Preferably, collecting the magnetic flux density and its change rate of the magnetic core by a sensor includes: At least two Hall effect sensors are installed around the magnetic core to measure the magnetic field strength at different positions respectively, and based on the magnetic field strength, an average magnetic field strength is calculated and converted into magnetic flux density; Performing a time series analysis on the magnetic flux density, recording magnetic flux density values ​​at consecutive time points, and forming a magnetic flux density curve; The magnetic flux density change rate is calculated between adjacent time points using the magnetic flux density curve.

[0008] Preferably, calculating the dynamic threshold based on the rate of change of magnetic flux density comprises the following steps: Obtain continuous measurements of the rate of change of magnetic flux density and arrange them in time order as a sequence, Normalizing each magnetic flux density change rate value in the sequence to generate a standardized sequence; Based on the standardized sequence, the baseline change rate is calculated, and the dynamic threshold is set as the baseline change rate multiplied by the safety factor to represent the critical point when the magnetic core enters the nonlinear magnetization region.

[0009] Preferably, comparing the real-time monitored magnetic flux density with the dynamic threshold to generate a deviation signal comprises: In each sampling period, the magnetic flux density at the current moment is obtained and the dynamic threshold is recorded; Calculating the difference between the magnetic flux density and the dynamic threshold; Based on the difference, a scaling factor is determined, and an error signal is generated according to the scaling factor.

[0010] Preferably, judging whether the magnetic core is in a nonlinear magnetization state according to the deviation signal includes: Acquire the deviation signal and set a predefined threshold range; Comparing the deviation signal with a threshold range, if the deviation signal exceeds the threshold range, it is considered that the magnetic core may have entered a nonlinear magnetization state, and a current state mark is recorded; if the deviation signal is within the threshold range, it is considered that the magnetic core is in a normal working state, and a state mark is set; Based on the state mark, calculating an average value of the state mark in a plurality of consecutive sampling periods; If the average value of the state flag exceeds a predetermined critical value, it is confirmed that the magnetic core is indeed in a nonlinear magnetization state, and an adjustment measure is triggered.

[0011] Preferably, the length of the magnetic flux path of the magnetic core is changed by adjusting the winding current distribution, comprising: Determining a target distribution ratio of current in each section of the winding, and setting an initial value based on the deviation signal and the current load condition; Calculate the actual current of each winding section based on the total current and the current distribution ratio; By adjusting the current distribution ratio of the winding segments, the magnetic field distribution inside the magnetic core is changed, thereby indirectly changing the length of the magnetic flux path.

[0012] Preferably, applying a periodic pulse signal to the winding includes: Determine the basic parameters of the pulse signal, including pulse amplitude, pulse width and pulse interval; Adjusting the pulse amplitude or pulse width based on the total energy so that the total energy remains within a preset safety threshold; According to the current state of the magnetic core and the basic parameters of the determined pulse signal, a periodic pulse sequence is generated and applied to the winding.

[0013] Preferably, monitoring the recovery rate of the magnetic flux density of the magnetic core after adjustment to verify whether the suppression capability is improved includes: After applying the periodic pulse signal, the magnetic flux density values ​​at multiple consecutive time points are recorded to form an adjusted magnetic flux density sequence; Based on the magnetic flux density sequence, calculating the change in magnetic flux density between each adjacent time point and calculating the average change rate; The average rate of change is compared with the magnetic flux density recovery rate before adjustment to quantify the improvement in suppression capability.

[0014] Preferably, adjusting the core demagnetization processing parameters according to the recovery rate and optimizing the pulse signal application strategy include: Based on the recovery rate of the magnetic flux density, determining the initial demagnetization processing parameter set, including demagnetization current, demagnetization time and demagnetization frequency; calculating a difference between the recovery rate and an ideal recovery rate, and adjusting the demagnetization current based on the difference; Recalculate the demagnetization time and demagnetization frequency according to the adjusted demagnetization current; Apply the adjusted demagnetization processing parameters to demagnetize the core and monitor the new magnetic flux density recovery rate.

[0015] On the other hand, the present invention provides a control system with low inductance and low transient impulse voltage, comprising: A dynamic threshold calculation module is used to collect the magnetic flux density and its change rate of the magnetic core through a sensor, and calculate a dynamic threshold based on the change rate of the magnetic flux density. The dynamic threshold is used to represent the critical point at which the magnetic core enters the nonlinear magnetization region; a deviation signal generating module, configured to compare the magnetic flux density monitored in real time with the dynamic threshold value to generate a deviation signal; An adjustment mechanism triggering and execution module is used to determine whether the magnetic core is in a nonlinear magnetization state based on the deviation signal, and if so, trigger the adjustment mechanism, including: changing the magnetic flux path length of the magnetic core by adjusting the winding current distribution; applying a periodic pulse signal to the winding; The recovery rate monitoring and optimization module is used to monitor the recovery rate of the magnetic flux density of the adjusted magnetic core, verify whether the suppression capability is improved, adjust the magnetic core demagnetization processing parameters according to the recovery rate, and optimize the pulse signal application strategy.

[0016] Technical effects and advantages of the present invention: The low-inductance low-transient impulse voltage control method and system proposed in the present invention have the following advantages over the prior art: The present invention uses a sensor to collect the magnetic flux density and its rate of change of the magnetic core in real time, and based on this, calculates a dynamic threshold value to accurately identify the critical point at which the magnetic core enters the nonlinear magnetization zone. The real-time monitored magnetic flux density is compared with the dynamic threshold value to generate a deviation signal and judge the state of the magnetic core. Once it is confirmed that the magnetic core is in a nonlinear magnetization state, the adjustment mechanism is immediately triggered to adjust the winding current distribution to change the magnetic flux path length of the magnetic core, and a periodic pulse signal is applied to prevent deep saturation of the magnetic core. In addition, by monitoring the recovery rate of the adjusted magnetic flux density of the magnetic core, the demagnetization processing parameters and pulse signal strategy are optimized to ensure the continuous and efficient operation of the system. This method significantly improves the transient voltage suppression capability and stability of the system, and enhances the overall performance and reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a flow chart of the method for controlling low inductance and low transient impulse voltage of the present invention; Figure 2 This is a block diagram of the control system with low inductance and low transient impulse voltage of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. The specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0019] The present invention provides Figure 1The low-inductance, low-transient impulse voltage control method shown in the figure achieves precise monitoring and adaptive adjustment of the core state, effectively solving the problem of sudden attenuation of transient voltage suppression capability in traditional methods under complex working conditions, and improving the overall performance and reliability of the system. The details are as follows: In this embodiment, the above-mentioned low-inductance low transient impulse voltage control method includes the following steps: Step 1: Collect the magnetic flux density and its rate of change of the magnetic core through the sensor; including the following steps: Install at least two Hall effect sensors around the magnetic core to measure the magnetic field strength at different locations and ;based on and , calculate the average magnetic field strength , and convert it into magnetic flux density B, using the formula B=μ* , where μ is the magnetic permeability of the core material; this formula reflects the linear relationship between the magnetic field and magnetic induction inside the core (valid in the linear magnetization region) and is the core basis for electromagnetic measurement.

[0020] Perform time series analysis on the magnetic flux density B and record the continuous time points The B value on the graph forms the B(t) curve; t represents the time point; this process provides a time series basis for dynamic monitoring and helps to identify sudden changes or trend deviations.

[0021] Using the B(t) curve, calculate the rate of change of magnetic flux density between adjacent time points , and continuously updates this value to reflect real-time changes. ΔB: The difference in magnetic flux density between adjacent moments; Δt: The sampling interval. By continuously updating ΔB / Δt, the system can dynamically perceive the working status of the core and promptly warn of potential nonlinear magnetization risks.

[0022] Step 2: Calculating a dynamic threshold based on the rate of change of the magnetic flux density, wherein the dynamic threshold is used to characterize the critical point at which the magnetic core enters the nonlinear magnetization region; comprising the following steps: Obtain the continuous measurement values ​​of the rate of change of magnetic flux density ΔB / Δt and arrange them in time order as a sequence { }; : Change in magnetic flux density at the i-th sampling moment : The time interval of the i-th sampling period.

[0023] Each ΔB / Δt value in the sequence is normalized to generate a normalized sequence { },in , ensuring that the series has uniform standard deviation and mean; It represents the normalized rate of change of magnetic flux density. By normalizing the sequence, the interference caused by fluctuations in working conditions is eliminated, making the data in different time periods comparable.

[0024] Based on the normalized sequence { }, calculate a baseline rate of change , defined as all The sum of the absolute values ​​of divided by n, that is ; represents the baseline change rate; n is the number of sampling points.

[0025] Setting dynamic thresholds Baseline change rate Multiply by a safety factor k, that is , used to characterize the critical point where the core enters the nonlinear magnetization region, Represents the dynamic threshold. The safety factor k is introduced to provide a certain margin above the baseline value, preventing false triggering while still allowing for timely detection of abnormal changes in the core state. The value of k is slightly greater than 1, such as 1.2-1.5.

[0026] Step 3: Comparing the real-time monitored magnetic flux density with the dynamic threshold to generate a deviation signal; including the following steps: In each sampling period, the magnetic flux density at the current moment is obtained , and record the dynamic threshold ; Calculate magnetic flux density With dynamic threshold The difference D between them is calculated using the formula ,The difference is used to quantify the degree of deviation of the current state of the core from the critical point; Based on the difference D, a proportional factor P is determined, which is defined as The proportional factor P reflects the degree to which the current magnetic flux density deviates from the dynamic threshold. Based on the proportional factor P, a deviation signal S is generated. When D > 0, S = +1*P; when D < 0, S = -1*P; and when D = 0, S = 0. The deviation signal S not only indicates the direction of the deviation (positive or negative) but also the relative magnitude of the deviation.

[0027] Step 4: Determine whether the magnetic core is in a nonlinear magnetization state according to the deviation signal, and trigger an adjustment mechanism if it is, including the following steps: Obtaining the deviation signal S and setting a predefined threshold range [-T, +T], where T is a positive number, to define the boundary between normal operation and nonlinear magnetization state; Compare the deviation signal S with the threshold range. If S>+T or S<-T, it is considered that the core may have entered the nonlinear magnetization state, and the current state flag F=1 is recorded. If -S<=T and S>=-T, it is considered that the core is in normal working state, and the state flag F=0 is set. Based on the status flag F, calculate the average value of the status flag within n consecutive sampling periods , to filter out the impact of instantaneous fluctuations on the judgment results; like If the value exceeds a predetermined critical value C (e.g., C=0.5), it is confirmed that the core is indeed in a nonlinear magnetization state and subsequent adjustment measures are triggered. Otherwise, the existing operation mode remains unchanged.

[0028] Specifically, the triggering adjustment mechanism includes: changing the magnetic flux path length of the magnetic core by adjusting the winding current distribution; and applying a periodic pulse signal to the winding.

[0029] The method of changing the magnetic flux path length of the magnetic core by adjusting the winding current distribution includes the following steps: Determine the target distribution ratio of each section of the winding current , set an initial value based on the deviation signal S and the current load situation ; Calculate the actual current in each winding segment , using the formula ,in is the total current, is the current distribution ratio of the i-th winding, based on Make adjustments; By adjusting the current distribution ratio of the winding segments , changing the magnetic field distribution inside the core, thereby indirectly changing the length of the magnetic flux path. Specifically, by increasing the current ratio of some winding segments and reducing the ratio of other segments, the magnetic flux is more likely to pass through a specific path, thereby reducing the local magnetic induction intensity; Monitor the magnetic flux density of the core after adjustment and the magnetic flux density before adjustment Compare and calculate the change If ΔB is in line with expectations (i.e. the magnetic flux density is reduced), the winding current distribution adjustment is confirmed to be effective and the current is fixed. set up.

[0030] The step of applying a periodic pulse signal to the winding includes the following steps: Determine the basic parameters of the pulse signal, including pulse amplitude A, pulse width W, and pulse interval T. The initial values ​​can be set based on the core material properties and current working conditions, and are recorded as ; Calculate the total energy in each pulse period , ensuring that the total energy is within a safe range to avoid damage to the core. Adjust the pulse amplitude A or pulse width W so that Maintain a preset safety threshold Inside, if > , then adjust A or W to make <= ; Generate a periodic pulse sequence based on the core's current state and the pulse parameters (A, W, T) determined in the previous step and apply it to the winding. Specifically, apply a pulse current I(t) = A* (1 if t is within the pulse width W, 0 otherwise) at each time point t, and repeat this process at a pulse interval T. Monitor the core's response after applying the pulse, especially the change in magnetic flux density B. If the change in B fails to achieve the desired effect (for example, the linear magnetization characteristic is not effectively maintained), adjust the pulse interval T or pulse amplitude A based on the change in magnetic flux density and optimize the application strategy of subsequent pulse sequences until the ideal core response is achieved.

[0031] Step 5: Monitor the recovery rate of the magnetic flux density of the adjusted core to verify whether the suppression capability has been improved. This includes the following steps: After applying a periodic pulse signal, record n ​​consecutive time points The magnetic flux density value on , forming the adjusted magnetic flux density sequence {B(t)}; Based on the magnetic flux density sequence {B(t)}, calculate the change in magnetic flux density between each adjacent time point , and further calculate the average rate of change , where i=1 to n-1. Used to characterize the magnetic flux density recovery rate of the adjusted core.

[0032] Will The magnetic flux density recovery rate before adjustment Compare and calculate the relative improvement rate , to quantify the improvement of the suppression ability. If it is >0, it indicates that the suppression ability has been improved; otherwise, further optimization and adjustment measures may be needed.

[0033] According to the relative improvement rate , decide whether you need to adjust the current pulse parameters (A, W, T) or the winding current distribution ratio If the Improvement is lower than the preset target value, then according to the trend of the magnetic flux density recovery rate, appropriately increase the pulse amplitude A or shorten the pulse interval T, and repeat the above process until the desired suppression effect is achieved.

[0034] Step 6: adjusting the core demagnetization processing parameters according to the recovery rate and optimizing the pulse signal application strategy; including the following steps: Based on recovery rate , determine an initial demagnetization parameter set , including demagnetization current , demagnetization time and demagnetization frequency The initial value can be set based on historical data or preset rules. ; Calculating recovery rate Ideal recovery rate The gap between ΔR= - If ΔR is greater than zero, it indicates that the current recovery rate is lower than the ideal level and the demagnetization effect needs to be enhanced; otherwise, the demagnetization intensity may need to be weakened to save energy. Adjust the demagnetization current based on ΔR , using the formula , where k is the adjustment coefficient; According to the adjusted demagnetization current , recalculate the demagnetization time and demagnetization frequency. Specifically, increase the demagnetization current When the demagnetization time is reduced To keep the total demagnetization energy constant, use the formula ; At the same time, adjust the demagnetization frequency , making , ensuring proper cooling intervals at higher currents; Apply the adjusted demagnetization process parameters Demagnetize the core and monitor the new flux density recovery rate .like approach or reach , then confirm that the current parameter settings are valid; otherwise, repeat the above steps and optimize step by step until the best suppression effect is obtained.

[0035] On the other hand, the present invention proposes a control system with low inductance and low transient impulse voltage, such as Figure 2 As shown, including: A dynamic threshold calculation module is used to collect the magnetic flux density and its change rate of the magnetic core through a sensor, and calculate a dynamic threshold based on the change rate of the magnetic flux density. The dynamic threshold is used to represent the critical point at which the magnetic core enters the nonlinear magnetization region; a deviation signal generating module, configured to compare the magnetic flux density monitored in real time with the dynamic threshold value to generate a deviation signal; An adjustment mechanism triggering and execution module is used to determine whether the magnetic core is in a nonlinear magnetization state based on the deviation signal, and if so, trigger the adjustment mechanism, including: changing the magnetic flux path length of the magnetic core by adjusting the winding current distribution; applying a periodic pulse signal to the winding; The recovery rate monitoring and optimization module is used to monitor the recovery rate of the magnetic flux density of the adjusted magnetic core, verify whether the suppression capability is improved, adjust the magnetic core demagnetization processing parameters according to the recovery rate, and optimize the pulse signal application strategy.

[0036] In addition, the above modules are also used to implement other steps of the above-mentioned low inductance and low transient impulse voltage control method when executed, as shown below: 1. System configuration and initial parameter setting: Core material: ferrite (μ=1000×μ0, where ); Install two Hall sensors and measure the magnetic field strengths: ; Initial load current ; Initial winding current distribution ratio =[0.5,0.5]; Initial parameters of pulse signal: Amplitude =1A; width =0.001s; interval =0.01s; Safety energy threshold 0.1J.

[0037] 2. Execution steps Step 1: Collect magnetic flux density and its rate of change Calculate the average magnetic field strength: (50+60) / 2=55A / m.

[0038] Converted to magnetic flux density: B=μ* =1000*4π×1e-7*55=0.0691T.

[0039] Perform time series sampling and record the B values ​​at consecutive time points, for example: ; ... Calculate the rate of change of magnetic flux density: =(0.0685-0.0691) / (0.001-0.000)=-0.0006 / 0.001=-0.6T / s; Continuously update ΔB / Δt to reflect real-time changing trends.

[0040] Step 2: Calculate the dynamic threshold T_d Get a sequence of ΔB / Δt measurements over a period of time, for example: { }={-0.6,-0.55,-0.5,-0.48,-0.45,...}; Standardization: Mean avg(ΔB / Δt)=-0.5; Standard deviation std(ΔB / Δt)=0.05; The first point is normalized to: =(-0.6-(-0.5)) / 0.05=-2; Calculate the baseline rate of change: =(2+1.5+1+...) / 10=1.2; Set dynamic threshold (k=1.3): =1.2*1.3=1.56; Step 3: Generate deviation signal S The current magnetic flux density is detected in real time (Units are normalized); Calculate the difference: =0.0665-1.56=-1.4935 Calculate the scale factor: 1.4935 / 1.56=0.957; Generate a deviation signal: S=-1*P=-0.957.

[0041] Step 4: Determine whether it has entered the nonlinear magnetization state Set the judgment threshold range [-T, +T] = [-1, +1]; The current S=-0.957, which is within the range, is marked as F=0 (normal). If F was 1 6 times in the past 10 times, then =0.6>C=0.5, confirming the entry into the nonlinear region and triggering the adjustment mechanism.

[0042] Step 5: Trigger the adjustment mechanism Adjusting the winding current distribution: New distribution ratio =[0.6,0.4]; Current in each section: After adjustment, the magnetic flux density is reduced from 0.0691T to 0.0675T, ΔB=-0.0016T, which is effective.

[0043] Apply a periodic pulse signal: Parameter adjustment: A=1A, W=0.001s, T=0.01s; =1*0.001 / 0.01=0.1J≤ , meet the requirements; After applying the pulse, it was monitored that B recovered faster, indicating that the suppression ability was improved.

[0044] Step 6: Optimize demagnetization strategy Calculating recovery rate =0.0012T / s (after adjustment), =0.0008T / s; Improvement rate: Improvement = (0.0012-0.0008) / 0.0008*100%=50%; If the standard is not met, adjust the demagnetization parameters: Initial demagnetization current =0.5A; Current recovery rate =0.0012, ideal =0.0015; The gap ΔR=0.0015-0.0012=0.0003; Adjustment coefficient k=1000; New demagnetization current: =0.5+1000*0.0003=0.8A; Update demagnetization time and frequency: =1s*(0.5 / 0.8)=0.625s; = =2.56Hz; After applying the new parameters, the recovery rate reaches the target value, confirming that the optimization is successful.

[0045] This example fully simulates the entire process from acquiring core state, identifying nonlinear magnetization, triggering winding adjustments, applying pulse excitation, and optimizing the demagnetization strategy. Through sensor acquisition, dynamic threshold setting, deviation analysis, and feedback adjustment, it achieves rapid response and effective suppression of the core's nonlinear magnetization state, significantly improving the system's stability and transient interference resistance. The entire process demonstrates clear logic, authentic data, and operational feasibility, demonstrating practical engineering application value.

[0046] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for controlling low inductance and low transient impulse voltage, characterized in that: The following steps are involved: The magnetic flux density and its change rate of the magnetic core are collected by a sensor, and a dynamic threshold is calculated based on the change rate of the magnetic flux density. The dynamic threshold is used to represent the critical point at which the magnetic core enters the nonlinear magnetization region; Comparing the real-time monitored magnetic flux density with the dynamic threshold to generate a deviation signal; Determining whether the magnetic core is in a nonlinear magnetization state based on the deviation signal, and triggering an adjustment mechanism if it is, including: changing the magnetic flux path length of the magnetic core by adjusting the winding current distribution; applying a periodic pulse signal to the winding; The recovery rate of the magnetic flux density of the adjusted magnetic core is monitored to verify whether the suppression capability is improved, and the demagnetization processing parameters of the magnetic core are adjusted according to the recovery rate to optimize the pulse signal application strategy.

2. The method for controlling low inductance and low transient impulse voltage according to claim 1, wherein: The collecting of the magnetic flux density and its changing rate of the magnetic core by the sensor includes: At least two Hall effect sensors are installed around the magnetic core to measure the magnetic field strength at different positions respectively, and based on the magnetic field strength, an average magnetic field strength is calculated and converted into magnetic flux density; Performing a time series analysis on the magnetic flux density, recording magnetic flux density values ​​at consecutive time points, and forming a magnetic flux density curve; The magnetic flux density change rate is calculated between adjacent time points using the magnetic flux density curve.

3. The low inductance and low transient impulse voltage control method according to claim 1, characterized in that: The dynamic threshold is calculated based on the rate of change of magnetic flux density, including the following steps: Obtain continuous measurements of the rate of change of magnetic flux density and arrange them in time order as a sequence, Normalizing each magnetic flux density change rate value in the sequence to generate a standardized sequence; Based on the standardized sequence, the baseline change rate is calculated, and the dynamic threshold is set as the baseline change rate multiplied by the safety factor to represent the critical point when the magnetic core enters the nonlinear magnetization region.

4. The method for controlling low inductance and low transient impulse voltage according to claim 1, wherein: The real-time monitored magnetic flux density is compared with the dynamic threshold value to generate a deviation signal, including: In each sampling period, the magnetic flux density at the current moment is obtained and the dynamic threshold is recorded; Calculating the difference between the magnetic flux density and the dynamic threshold; Based on the difference, a scaling factor is determined, and an error signal is generated according to the scaling factor.

5. The method for controlling low inductance and low transient impulse voltage according to claim 1, wherein: Determining whether the magnetic core is in a nonlinear magnetization state according to the deviation signal includes: Acquire the deviation signal and set a predefined threshold range; Comparing the deviation signal with a threshold range, if the deviation signal exceeds the threshold range, it is considered that the magnetic core may have entered a nonlinear magnetization state, and a current state mark is recorded; if the deviation signal is within the threshold range, it is considered that the magnetic core is in a normal working state, and a state mark is set; Based on the state mark, calculating an average value of the state mark in a plurality of consecutive sampling periods; If the average value of the state flag exceeds a predetermined critical value, it is confirmed that the magnetic core is indeed in a nonlinear magnetization state, and an adjustment measure is triggered.

6. The low inductance and low transient impulse voltage control method according to claim 1, characterized in that: By adjusting the winding current distribution, the magnetic flux path length of the magnetic core is changed, including: Determining a target distribution ratio of current in each section of the winding, and setting an initial value based on the deviation signal and the current load condition; Calculate the actual current of each winding section based on the total current and the current distribution ratio; By adjusting the current distribution ratio of the winding segments, the magnetic field distribution inside the magnetic core is changed, thereby indirectly changing the length of the magnetic flux path.

7. The low inductance and low transient impulse voltage control method according to claim 1, characterized in that: Apply a periodic pulse signal to the winding, including: Determine the basic parameters of the pulse signal, including pulse amplitude, pulse width and pulse interval; Adjusting the pulse amplitude or pulse width based on the total energy so that the total energy remains within a preset safety threshold; According to the current state of the magnetic core and the basic parameters of the determined pulse signal, a periodic pulse sequence is generated and applied to the winding.

8. The low inductance and low transient impulse voltage control method according to claim 1, characterized in that: Monitor the recovery rate of the magnetic flux density of the adjusted core to verify whether the suppression capability is improved, including: After applying the periodic pulse signal, the magnetic flux density values ​​at multiple consecutive time points are recorded to form an adjusted magnetic flux density sequence; Based on the magnetic flux density sequence, calculating the change in magnetic flux density between each adjacent time point and calculating the average change rate; The average rate of change is compared with the magnetic flux density recovery rate before adjustment to quantify the improvement in suppression capability.

9. The low inductance and low transient impulse voltage control method according to claim 1, characterized in that: Adjusting the core demagnetization processing parameters according to the recovery rate and optimizing the pulse signal application strategy include: Based on the recovery rate of the magnetic flux density, determining the initial demagnetization processing parameter set, including demagnetization current, demagnetization time and demagnetization frequency; calculating a difference between the recovery rate and an ideal recovery rate, and adjusting the demagnetization current based on the difference; Recalculate the demagnetization time and demagnetization frequency according to the adjusted demagnetization current; Apply the adjusted demagnetization processing parameters to demagnetize the core and monitor the new magnetic flux density recovery rate.

10. A control system for low inductance and low transient impulse voltage for implementing the method according to any one of claims 1 to 9, characterized in that: include: A dynamic threshold calculation module is used to collect the magnetic flux density and its change rate of the magnetic core through a sensor, and calculate a dynamic threshold based on the change rate of the magnetic flux density. The dynamic threshold is used to represent the critical point at which the magnetic core enters the nonlinear magnetization region; a deviation signal generating module, configured to compare the magnetic flux density monitored in real time with the dynamic threshold value to generate a deviation signal; An adjustment mechanism triggering and execution module is used to determine whether the magnetic core is in a nonlinear magnetization state based on the deviation signal, and if so, trigger the adjustment mechanism, including: changing the magnetic flux path length of the magnetic core by adjusting the winding current distribution; applying a periodic pulse signal to the winding; The recovery rate monitoring and optimization module is used to monitor the recovery rate of the magnetic flux density of the adjusted magnetic core, verify whether the suppression capability is improved, adjust the magnetic core demagnetization processing parameters according to the recovery rate, and optimize the pulse signal application strategy.

Images