An energy distribution control method and system for electrical modules

Abstract

This invention provides an energy distribution control method and system for electrical modules, relating to the field of energy distribution control technology for electrical modules. By acquiring the operating characteristics of high and low power paths and determining whether electromagnetic crosstalk exists based on these characteristics, the energy compensation strategy is intelligently adjusted according to the judgment result. This effectively solves the problem of miscompensation caused by the inability to accurately distinguish between electromagnetic crosstalk and actual load demand in the prior art. Thus, it has the advantages of accurately identifying and distinguishing interference caused by electromagnetic crosstalk from actual load demand, avoiding overcompensation or erroneous compensation caused by misjudgment in the prior art, thereby effectively suppressing the occurrence of vicious cycles and significantly improving the energy distribution accuracy of electrical modules and the stability of system operation.

Description

Technical Field

[0001] This application relates to the field of energy distribution control technology for electrical modules, and more specifically, to an energy distribution control method and system for electrical modules. Background Technology

[0002] Modern automated equipment, especially systems with stringent power quality requirements, such as automated optical inspection equipment, commonly employs highly integrated electrical modules to provide power to multiple internal functional units.

[0003] When a servo motor driver controls a motor using high-frequency pulse width modulation (PWM), the current in its high-power supply path experiences drastic and periodic instantaneous changes. These rapidly changing currents generate varying local electromagnetic fields around the high-power path. These fields may penetrate the circuit board dielectric and induce weak currents in adjacent low-power supply paths, causing periodic fluctuations in the low-power path's supply voltage synchronized with the high-power path's operating frequency. When the energy distribution controller of the electrical module detects these periodic voltage fluctuations in the low-power path, its built-in control logic may incorrectly interpret them as genuine energy demands from sensitive units connected to the low-power path performing some kind of periodic operation. Based on this erroneous judgment, the controller performs compensation operations, such as increasing the duty cycle of the switching transistor at the front end of the low-power path to quickly "fill" each fluctuation identified as a "voltage drop." This additional, unnecessary high-frequency adjustment increases the switching losses of the main power conversion switching devices inside the electrical module, leading to an increase in the module's operating temperature. The electrical characteristics of power semiconductor components are temperature-sensitive. Increased operating temperature alters their switching characteristics, generating additional, higher-frequency harmonic components during switching. This newly generated electromagnetic noise is conducted to all power supply paths via the module's internal power bus and further amplifies the supply voltage of low-power paths through the original physical crosstalk path, making voltage fluctuations more complex and severe. The controller continues to monitor this worsening fluctuation and attempts to compensate, further increasing the module temperature and generating more harmonics. The system thus enters a vicious cycle: "interference caused by physical layout → controller misinterpretation → compensation actions generating new interference sources → new interference sources exacerbating initial interference." This vicious cycle can ultimately lead to a severe deterioration in the power supply quality of highly noise-sensitive units, affecting their normal function and even causing a performance bottleneck for the entire system. This is not due to a fault in any single component, but rather stems from the energy control system's inability to accurately identify and distinguish between interference caused by physical crosstalk and actual load demand, resulting in counterproductive adjustments.

[0004] To address the aforementioned issues, existing technologies urgently need improvement. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this application provides an energy distribution control method and system for electrical modules. This method and system can accurately identify and distinguish between interference caused by electromagnetic crosstalk and actual load demand, avoiding over- or erroneous compensation caused by misjudgment in existing technologies. This effectively suppresses the occurrence of vicious cycles and significantly improves the energy distribution accuracy of electrical modules and the stability of system operation.

[0006] This application provides an energy distribution control method for an electrical module, the key technical points of which are:

[0007] The electrical module includes a high-power path and a low-power path; the method includes:

[0008] The first operating characteristic of the high-power path and the second operating characteristic of the low-power path are obtained; the first operating characteristic includes current change information; the second operating characteristic includes voltage change information.

[0009] The first characteristic information and the second characteristic information are determined based on the first operating characteristic and the second operating characteristic, respectively; the first characteristic information includes the transient time and transient period information of the high-power path current; the second characteristic information includes the transient time and transient period information of the low-power path voltage.

[0010] Based on the first and second feature information, determine whether there is electromagnetic crosstalk correlation between the high-power path and the low-power path;

[0011] Based on the results of the electromagnetic crosstalk correlation assessment, energy compensation is performed on the low-power path.

[0012] Furthermore, the first characteristic information and the second characteristic information are determined based on the first operational characteristic and the second operational characteristic, respectively, including:

[0013] Determine the period of the first operating feature, and perform synchronous superposition processing on the first operating feature according to the period of the first operating feature; extract the first feature information from the superimposed first operating feature;

[0014] Based on the cycle of the first operating feature, the second operating feature is synchronously superimposed; the second feature information is extracted from the superimposed second operating feature.

[0015] Furthermore, to obtain the first operating characteristics of the high-power path and the second operating characteristics of the low-power path, the method previously included:

[0016] While triggering a transient change in the high-power path that produces a preset characteristic, the low-power path is simultaneously triggered to produce a transient change in the preset characteristic.

[0017] The first response time point of the transient change in the high-power path and the second response time point of the transient change in the low-power path were measured.

[0018] A response time difference is determined based on the first response time point and the second response time point; when subsequently acquiring the first operating characteristics of the high-power path and the second operating characteristics of the low-power path, the first operating characteristics and the second operating characteristics are time-aligned based on the response time difference.

[0019] Furthermore, based on the first and second feature information, it is determined whether there is electromagnetic crosstalk correlation between the high-power path and the low-power path, including:

[0020] Identify current transient events from the first feature information and obtain the time point and waveform characteristics of the current transient events; identify voltage transient events from the second feature information and obtain the time point and waveform characteristics of the voltage transient events; current transient events include rapid rise or fall edges of the current; voltage transient events include rapid rise or fall edges of the voltage.

[0021] For each voltage transient event identified in the second feature information, search for current transient events identified in the first feature information within a preset time window before its time point;

[0022] If a current transient event in the first feature information is found within the time window, the waveform characteristics of the voltage transient event in the second feature information are compared with the waveform characteristics of the current transient event in the first feature information.

[0023] Based on the search results and comparison results, determine whether there is a correlation between high-power and low-power pathways.

[0024] Furthermore, the waveform characteristics of voltage transient events in the second feature information are compared with the waveform characteristics of current transient events in the first feature information, including:

[0025] The peak value, duration, and slope of the rising or falling edge of the current transient are extracted from the first feature information to obtain the first feature parameter;

[0026] Extract the corresponding peak value, duration, and slope of the rising or falling edge of the voltage transient from the second feature information to obtain the second feature parameters;

[0027] Based on the first feature parameter and the second feature parameter, compare the waveform characteristics of voltage transients in the second feature information with the waveform characteristics of current transients in the first feature information to determine whether the first feature parameter and the second feature parameter satisfy a correspondence or proportional relationship.

[0028] Furthermore, based on the search results and comparison results, it is determined whether there is a correlation between high-power and low-power paths, including:

[0029] The timestamp difference between current transient events and voltage transient events is calculated. If the difference is less than a preset microsecond tolerance range, they are considered to be highly overlapping in time. Furthermore, the periodic characteristics of current transient events and voltage transient events are compared. If the period of voltage transient events is consistent with the period of current transient events within a certain error range, a strong correlation is determined.

[0030] Furthermore, based on the results of the electromagnetic crosstalk correlation assessment, energy compensation is performed on the low-power path, including:

[0031] In response to the electromagnetic crosstalk between the high-power and low-power paths, the proportional gain and integral gain in the PID controller controlling the voltage regulation loop of the low-power path are temporarily set to minimum values; or fast-response PID control is disabled, and only a slow average voltage sustaining loop is retained.

[0032] Furthermore, based on the results of the electromagnetic crosstalk correlation assessment, energy compensation is performed on the low-power path, including:

[0033] Since there is no electromagnetic crosstalk correlation between the high-power path and the low-power path, the proportional, integral and / or derivative gain in the feedback loop of the low-power path power supply unit is adjusted according to the load change characteristics of the low-power path, thereby adjusting the feedback control parameters of the low-power path power supply unit to limit the transient rate of change of the output voltage or current of the power supply unit.

[0034] Furthermore, based on the load variation characteristics of the low-power path, including:

[0035] Monitor the current or voltage information of the low-power path; extract features from the current or voltage information to obtain the load change characteristics of the low-power path.

[0036] Furthermore, this application proposes an electrical module energy distribution control system, which includes:

[0037] The acquisition module is used to acquire the first operating characteristics of the high-power path and the second operating characteristics of the low-power path; the first operating characteristics include current change information; the second operating characteristics include voltage change information.

[0038] The determination module is used to determine the first feature information and the second feature information based on the first operating feature and the second operating feature, respectively; the first feature information includes the high-power path current transient time and current transient period information; the second feature information includes the low-power path voltage transient time and voltage transient period information.

[0039] The judgment module is used to determine whether there is electromagnetic crosstalk correlation between the high-power path and the low-power path based on the first feature information and the second feature information.

[0040] The energy compensation module is used to control the low-power path to perform energy compensation based on the judgment result of electromagnetic crosstalk correlation.

[0041] In summary, the energy distribution control method and system for electrical modules provided in this application acquire the operating characteristics of high and low power paths, determine the existence of electromagnetic crosstalk correlation based on these characteristics, and then intelligently adjust the energy compensation strategy according to the judgment result. This effectively solves the problem of miscompensation caused by the inability to accurately distinguish between electromagnetic crosstalk and actual load demand in the prior art. Thus, it has the advantages of being able to accurately identify and distinguish the interference caused by electromagnetic crosstalk from the actual load demand, avoiding overcompensation or erroneous compensation caused by misjudgment in the prior art, thereby effectively suppressing the occurrence of vicious cycles and significantly improving the energy distribution accuracy of electrical modules and the stability of system operation. Attached Figure Description

[0042] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0043] Figure 1 This is a flowchart illustrating the steps of the electrical module energy distribution control method disclosed in an embodiment of the present invention;

[0044] Figure 2 This is a schematic diagram of the electrical module energy distribution control system disclosed in an embodiment of the present invention. Detailed Implementation

[0045] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this application, and not all embodiments. The components of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0046] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0047] This application proposes an energy distribution control method for an electrical module, wherein the electrical module includes a high-power path and a low-power path;

[0048] like Figure 1 As shown, the method includes:

[0049] S101, acquire the first operating characteristics of the high-power path and the second operating characteristics of the low-power path; the first operating characteristics include current change information; the second operating characteristics include voltage change information;

[0050] S102, determine the first feature information and the second feature information based on the first operating feature and the second operating feature respectively; the first feature information includes the high-power path current transient time and current transient period information; the second feature information includes the low-power path voltage transient time and voltage transient period information.

[0051] S103, Based on the first feature information and the second feature information, determine whether there is electromagnetic crosstalk correlation between the high-power path and the low-power path;

[0052] S104, based on the judgment result of electromagnetic crosstalk correlation, controls the low-power path to perform energy compensation.

[0053] High-power paths refer to energy transmission paths within electrical modules that carry significant power or current. These paths can power drive motors, high-power LED arrays, or high-performance computing units, aiming to meet the energy demands of high-power loads. Low-power paths, on the other hand, refer to energy transmission paths within electrical modules that carry less power or current. These are typically used to power sensitive electronic components requiring high power purity, such as precision sensors, analog signal processing circuits, or low-power microcontrollers, ensuring the operation of these sensitive loads. The first operating characteristic refers to the electrical characteristics exhibited by the high-power path during operation, specifically current variation information. This can include instantaneous values, average values, peak values, rates of change, or frequency components of the current. Its purpose is to capture the dynamic characteristics of electromagnetic interference sources that may be generated by the high-power path. The second operating characteristic refers to the electrical characteristics exhibited by the low-power path during operation, specifically voltage variation information. This can include instantaneous values, average values, peak values, fluctuation amplitude, or frequency components of the voltage. Its purpose is to reflect the performance of the low-power path under electromagnetic interference or changes in its own load. The first characteristic information refers to the key data extracted from the first operating characteristic of the high-power path, specifically including the current transient time and current transient period information of the high-power path. This can be a record of the occurrence of rapid current rise or fall edges, and a statistical analysis of the frequency or time interval of these transient events. Its purpose is to quantify the time-domain and frequency-domain characteristics of the electromagnetic interference source in the high-power path. The second characteristic information refers to the key data extracted from the second operating characteristic of the low-power path, specifically including the voltage transient time and voltage transient period information of the low-power path. This can be a record of the occurrence of rapid voltage rise or fall edges, and a statistical analysis of the frequency or time interval of these transient events. Its purpose is to quantify the voltage fluctuations experienced by the low-power path in the time and frequency domains. Electromagnetic crosstalk correlation refers to whether there is a mutual influence relationship between the high-power and low-power paths caused by electromagnetic induction or conduction. Specifically, it refers to whether the voltage fluctuations in the low-power path are synchronous or causally related to the current changes in the high-power path in terms of time, frequency, or waveform. Its purpose is to distinguish whether the voltage fluctuations in the low-power path originate from crosstalk in the high-power path or from actual changes in its own load.

[0054] The core innovation of this application lies in the fact that by performing a correlation analysis between the first operating characteristics of the high-power path and the second operating characteristics of the low-power path, it is possible to determine whether there is an electromagnetic crosstalk correlation between the two, and adjust the energy compensation strategy of the low-power path based on the judgment result, thereby achieving the effect of avoiding misjudging electromagnetic crosstalk as real load demand and suppressing interference deterioration cycle.

[0055] This application's solution involves in-depth analysis of the operating states of high-power and low-power paths within an electrical module to distinguish between electromagnetic crosstalk caused by physical layout and the actual load changes of the low-power path itself. First, the system acquires the first operating characteristic of the high-power path, specifically its current variation information, as rapid current changes in the high-power path are the primary source of electromagnetic interference. Simultaneously, the system acquires the second operating characteristic of the low-power path, specifically its voltage variation information, because low-power paths typically exhibit voltage fluctuations when subjected to electromagnetic crosstalk. This simultaneous acquisition of both types of information lays the data foundation for subsequent correlation analysis. Based on this, the system extracts key feature information from the acquired first and second operating characteristics. Specifically, the first feature information, including the current transient time and current transient period information, is determined from the first operating characteristic of the high-power path. This information characterizes the intensity and frequency characteristics of the electromagnetic interference source in the high-power path. Similarly, the second feature information, including the voltage transient time and voltage transient period information, is determined from the second operating characteristic of the low-power path. This information reflects the time and frequency characteristics of the low-power path under interference or its own load changes. In this way, the raw operating data is transformed into easily comparable and analyzable quantitative indicators. Further, based on the extracted first and second feature information, the system performs a core judgment step: determining whether there is electromagnetic crosstalk correlation between the high-power and low-power paths. This judgment process is crucial to the scheme; it identifies whether voltage fluctuations on the low-power path are indeed caused by electromagnetic activity in the high-power path by comparing the synchronicity or causal relationship of the feature information of the high and low power paths in time, frequency, or waveform. It is precisely this correlation judgment that enables the system to accurately distinguish crosstalk signals from the actual load signals. Finally, the system controls the energy compensation strategy for the low-power path based on the electromagnetic crosstalk correlation judgment result. If electromagnetic crosstalk correlation is determined to exist, it means that voltage fluctuations on the low-power path are not entirely caused by its own load. In this case, traditional rapid compensation may be counterproductive, so a specific compensation strategy is needed to avoid exacerbating the interference. Conversely, if electromagnetic crosstalk correlation is determined not to exist, it indicates that voltage fluctuations on the low-power path are more likely caused by changes in its own load. In this case, a conventional, fast-responding energy compensation strategy can be used. This differential compensation based on correlation judgment can avoid misjudging crosstalk as real load demand, thereby breaking the vicious cycle of "interference-misjudgment-compensation-new interference" and ensuring the purity and stability of power supply in low-power paths.

[0056] In some preferred embodiments, this application is implemented as follows. In the electrical module of an automated optical inspection device, the high-power path provides 12V power to the servo motor driver, while the low-power path provides 3.3V power to the high-resolution linear image sensor unit. To obtain operational characteristics, a high-speed data acquisition card or an analog-to-digital converter in an embedded microcontroller can be used to monitor the current sensor output on the high-power path in real time to obtain current change information as the first operational characteristic; simultaneously, the voltage sensor output on the low-power path is monitored to obtain voltage change information as the second operational characteristic. Specifically, to determine the characteristic information, digital signal processing can be performed on the acquired current change information and voltage change information. For example, a peak detection algorithm or a transient event recognition algorithm can be used to identify current transient events from the current waveform of the high-power path and record the time point and period of their occurrence to form the first characteristic information. Similarly, voltage transient events are identified from the voltage waveform of the low-power path, and the time point and period of their occurrence are recorded to form the second characteristic information. These processes can be completed on a dedicated digital signal processor or a high-performance microcontroller. When determining electromagnetic crosstalk correlation, the digital signal processor or microcontroller can execute a correlation analysis algorithm. For example, it compares the time points of current transient events in the first feature information with the time points of voltage transient events in the second feature information. If the two highly overlap within a preset microsecond time window and their periodic characteristics also show consistency, then electromagnetic crosstalk correlation can be determined. Based on the determination result, the energy compensation module adjusts the power supply strategy of the low-power path. For example, if electromagnetic crosstalk correlation is determined to exist, the proportional gain and integral gain in the voltage regulation loop of the low-power path power supply unit can be temporarily set to minimum values, or the fast-response PID control can be temporarily disabled, retaining only a slow average voltage maintenance loop to avoid over- or erroneous compensation for crosstalk signals. Conversely, if electromagnetic crosstalk correlation is determined not to exist, the low-power path can perform regular, rapid-response voltage or current regulation according to its normal load variation characteristics through the feedback loop of its power supply unit to ensure power supply quality.

[0057] This application further proposes a method for determining the first feature information and the second feature information based on the first operational feature and the second operational feature, respectively, including:

[0058] Determine the period of the first operating feature, and perform synchronous superposition processing on the first operating feature according to the period of the first operating feature; extract the first feature information from the superimposed first operating feature;

[0059] Based on the cycle of the first operating feature, the second operating feature is synchronously superimposed; the second feature information is extracted from the superimposed second operating feature.

[0060] Synchronous superposition processing is a signal processing technique that involves aligning multiple periodic or quasi-periodic signal segments according to a common trigger point or period, and then accumulating these aligned signal segments. The purpose is to enhance the effective periodic components of the signal through this accumulation effect, while effectively suppressing or averaging random noise and aperiodic interference, thereby improving the signal-to-noise ratio and making subsequent feature extraction more accurate.

[0061] This application's solution introduces synchronous superposition processing to address the problem of inaccurate feature information extraction due to noise and interference when directly analyzing raw operational feature data. Specifically, after acquiring the first operational feature of the high-power path and the second operational feature of the low-power path, the period of the first operational feature is first determined. This period is a key benchmark for subsequent synchronous superposition processing, ensuring accurate alignment of signal waveforms with similar time relationships during data superposition, thus laying the foundation for enhancing the effective signal and suppressing random noise. Next, based on the determined period of the first operational feature, synchronous superposition processing is performed on the first operational feature itself. This process, through multiple accumulations of periodic signals, significantly amplifies the periodic effective components in the first operational feature, such as the transient waveform of the high-power path current. Simultaneously, since random noise cancels out during superposition, its impact is greatly reduced. After this processing, the accuracy and reliability of extracting first feature information such as the transient time and period of the high-power path current from the superimposed first operational feature are significantly improved. Similarly, this solution also performs synchronous superposition processing on the second operational feature of the low-power path based on the period of the first operational feature. Choosing the period of the first operating feature as the benchmark for superimposing the second operating feature is based on the physical characteristics of electromagnetic crosstalk: typically, crosstalk signals on the low-power path are induced by periodic transient changes in the high-power path. Therefore, superimposing based on the period of the high-power path can more effectively capture and enhance voltage fluctuation signals in the low-power path caused by crosstalk and synchronized with the high-power path, while suppressing random noise or non-crosstalk-related interference that may exist in the low-power path itself. Subsequently, second feature information, such as the voltage transient time and voltage transient period information of the low-power path, is extracted from the superimposed second operating feature. This information is also more accurate due to the effective suppression of noise. Through the above synchronous superposition processing of the first and second operating features, this scheme significantly improves the extraction accuracy of the first and second feature information. This high-precision feature information provides a more reliable data foundation for subsequent determination of whether there is an electromagnetic crosstalk correlation between the high-power and low-power paths. When the judgment module receives this purified and accurate characteristic information, it can more accurately identify the time and period correlation between high-power path current transients and low-power path voltage transients, thereby avoiding misjudging fluctuations caused by noise or non-crosstalk factors as electromagnetic crosstalk. This accurate judgment result then guides the energy compensation module to execute appropriate energy compensation strategies, effectively avoiding over- or erroneous compensation caused by misjudged crosstalk, thus breaking the vicious cycle of "interference-misjudgment-compensation-new interference" and ensuring the stable operation of the electrical module and the power supply quality of sensitive units.

[0062] In some preferred embodiments, this application is implemented as follows:

[0063] First, to determine the period of the first operating characteristic, current waveform data acquired by a high-power path current sensor can be used. For example, peak detection or zero-crossing detection algorithms can be employed to identify repetitive patterns in the current waveform. When multiple consecutive periodic events (such as rising or falling edges of the current) are detected, the average period of the first operating characteristic can be accurately determined by calculating the time interval between these events. For example, if the high-power path is the output of a switching power supply, its current waveform will exhibit periodic changes synchronized with the switching frequency. In this case, the dominant frequency component can be identified by analyzing the Fourier transform of the current waveform, thereby determining its period. Once the period of the first operating characteristic is determined, it can be synchronously superimposed. Specifically, a data acquisition window with a length of one or more periods can be set. When a periodic event of the high-power path current occurs (e.g., the rising edge of the current reaches a preset threshold), this serves as a trigger point to begin acquiring a data segment of the first operating characteristic with a period length. This process is repeated multiple times, for example, acquiring data segments of hundreds or thousands of periods. Then, these acquired data segments are precisely aligned in time and arithmetically averaged point by point. For example, if N data segments are acquired over N periods, the value of each data point is divided by the sum of the data points from the corresponding N periods. This averaging operation amplifies periodic current transients while significantly reducing random noise. From this averaged waveform, the timing of high-power path current transients and their precise periodicity can be clearly identified, for example, by identifying steep changes in the waveform or specific threshold crossovers. Similarly, the second operating characteristic of the low-power path can be synchronously superimposed based on the period of the first operating characteristic. This means that even if the original waveform of the second operating characteristic does not have the exact same periodicity as the first operating characteristic, or its periodicity is severely masked by noise, we still use the period of the first operating characteristic as the reference for synchronous superposition. For example, when a periodic triggering event of the high-power path current occurs, a data segment of one period length of the low-power path voltage is synchronously acquired. These voltage data segments are repeatedly acquired and aligned, and then averaged point by point. This method effectively reveals weak crosstalk signals in the low-power path voltage that are associated with periodic transients in the high-power path, as these crosstalk signals are synchronized with the high-power path. From this superimposed and averaged second operating characteristic waveform, the timing and periodicity of low-power path voltage transients can be extracted, even if these transients may be obscured by noise in the original signal. For example, voltage dips or rises synchronized with high-power path current transients can be identified, and their occurrence time can be accurately measured.

[0064] This application further proposes an energy distribution control method for an electrical module, which further includes the following steps before obtaining the first operating characteristics of the high-power path and the second operating characteristics of the low-power path:

[0065] While triggering a transient change in the high-power path to produce a preset characteristic, the low-power path is simultaneously triggered to produce a transient change in the preset characteristic. The first response time point of the transient change in the high-power path and the second response time point of the transient change in the low-power path are measured. A response time difference is determined based on the first response time point and the second response time point. When subsequently acquiring the first operating characteristic of the high-power path and the second operating characteristic of the low-power path, the first operating characteristic and the second operating characteristic are time-aligned based on the response time difference.

[0066] The simultaneous triggering of a preset transient change in the high-power path and a preset transient change in the low-power path, triggered by a control signal or excitation source, refers to causing predictable, transient, and non-steady-state changes in the electrical parameters of both the high-power and low-power paths at the same moment or within a very short time interval. The preset transient change can be a step signal, a pulse signal, or a square wave signal of a specific frequency, its purpose being to provide a common starting reference for measuring the inherent response delay of the paths. Measuring the first response time point of the high-power path transient change and the second response time point of the low-power path transient change refers to accurately recording the time when the electrical parameters of each path first reach or exceed a preset threshold, or the time when they reach a specific percentage of their steady-state response, after the aforementioned synchronous triggering. This can be accomplished using a high-precision timer, oscilloscope, or high-speed data acquisition system, with the aim of quantifying the difference in response delay between the two paths to the same excitation signal. Determining a response time difference based on the first and second response time points involves calculating the time difference between them to obtain a numerical value characterizing the inherent response delay difference between the high-power and low-power paths. This time difference can be positive or negative, and its purpose is to provide a precise offset for subsequent data calibration. When subsequently acquiring the first operating characteristics of the high-power path and the second operating characteristics of the low-power path, time alignment processing is performed on the first and second operating characteristics based on the response time difference. This means that after acquiring the actual operating characteristic data of the high-power and low-power paths, the data of one of the paths is shifted or interpolated in time using the previously determined response time difference to keep the data of the two paths synchronized on the time axis. For example, if the high-power path responds faster, the data of the low-power path can be shifted forward by the response time difference; if the low-power path responds faster, the data of the high-power path can be shifted forward by the response time difference. The purpose is to eliminate data time misalignment caused by inherent response differences between the paths, ensuring that subsequent correlation judgments are based on accurately synchronized data.

[0067] This application further proposes steps for determining whether there is electromagnetic crosstalk correlation between high-power paths and low-power paths, including:

[0068] Identify current transient events from the first feature information and obtain the time point and waveform characteristics of the current transient events; identify voltage transient events from the second feature information and obtain the time point and waveform characteristics of the voltage transient events; current transient events include rapid rise or fall edges of the current; voltage transient events include rapid rise or fall edges of the voltage.

[0069] For each voltage transient event identified in the second feature information, search for current transient events identified in the first feature information within a preset time window before its time point;

[0070] If a current transient event in the first feature information is found within the time window, the waveform characteristics of the voltage transient event in the second feature information are compared with the waveform characteristics of the current transient event in the first feature information.

[0071] Based on the search results and comparison results, determine whether there is a correlation between high-power and low-power pathways.

[0072] Identifying current and voltage transient events involves analyzing the first characteristic information of the high-power path and the second characteristic information of the low-power path to detect and locate rapid changes in current or voltage signals. For example, differential algorithms, threshold detection, or machine learning-based pattern recognition methods can be used to determine the rising or falling edge of the signal. The aim is to accurately capture transient phenomena that may be caused by electromagnetic crosstalk. Waveform features refer to a set of attributes describing the shape and dynamic changes of current or voltage transient events. For example, they may include the amplitude, duration, frequency components, phase information, or specific patterns of the transient signal in the time or frequency domain. The purpose is to provide a quantitative basis for subsequent waveform similarity comparison. A preset time window is a specific time interval set before the occurrence of a voltage transient event. The length of this time window can be empirically set or determined through experimental calibration based on factors such as the propagation delay characteristics of the electromagnetic signal within the electrical module, the system response speed, and the physical distance to potential crosstalk sources. Its purpose is to limit the search... The search scope ensures that potential current transient events that could cause voltage transients are found within a reasonable timeframe. The search involves systematically identifying and matching current transient events that meet certain criteria within a preset time window. This can be achieved using timestamp indexing, event queue traversal, or database-based queries, aiming to establish a preliminary temporal correlation between voltage transients and potential current transients. The comparison involves performing similarity or correlation analysis between the waveform characteristics of identified voltage transient events and those of searched current transient events. For example, methods such as cross-correlation functions, Euclidean distance, dynamic time warping (DTW) algorithms, or feature vector matching can be used to quantify the degree of similarity. This aims to further verify the causal relationship of time-correlated events and eliminate voltage fluctuations not caused by crosstalk. The correlation analysis involves comprehensively analyzing the degree of temporal matching and the similarity of waveform characteristics to determine whether there is mutual influence between high-power and low-power paths caused by electromagnetic coupling. This aims to provide an accurate basis for subsequent energy compensation strategies.

[0073] In some preferred embodiments, this application is implemented as follows:

[0074] First, to identify current transient events and obtain their time points and waveform characteristics from the first feature information, and to identify voltage transient events and obtain their time points and waveform characteristics from the second feature information, a high-speed data acquisition unit can be used to synchronously sample the current and voltage signals of the high-power and low-power paths. For the identification of current and voltage transient events, the sampled data can be digitally filtered, and then the first or second derivative of the signal can be calculated. When the derivative exceeds a preset dynamic threshold, a rapid rising or falling edge is detected, thus marking it as a transient event. The time point of this transient event can be recorded as the timestamp of the derivative peak, while the waveform characteristics can be extracted from the original sampled data sequence within a certain time window before and after the transient event. For example, a current transient event can be defined as an event where the current changes by more than 20% of its steady-state value within 10 microseconds, and a voltage transient event can be defined as an event where the voltage changes by more than 5% of its nominal value within 5 microseconds. Next, for each voltage transient event identified in the second feature information, the system traces back a preset time window based on its time point. For example, this window can be set to a range of 500 nanoseconds to 2 microseconds, taking into account the propagation delay of electromagnetic signals on the circuit board. Within this time window, the system searches the first feature information for any identified current transient events. The search process can employ timestamp-based index lookup or a sliding window algorithm to match the current transient event list. If a current transient event from the first feature information is found within the time window, the system further compares the waveform characteristics of the voltage transient event in the second feature information with those in the first feature information. Specifically, the peak value, duration, and rise or fall slope of the current transient event can be extracted as the first feature parameter; simultaneously, the corresponding peak value, duration, and rise or fall slope of the voltage transient event can be extracted as the second feature parameter. Subsequently, the similarity of waveform features is quantified by calculating the correlation coefficient between the first and second characteristic parameters, or by determining whether they satisfy a preset proportional or corresponding relationship. For example, there may be an approximate proportional coefficient between the peak voltage transient and the peak current transient, or their durations may be consistent within an allowable error range. Finally, based on the search results and comparison results, the system comprehensively determines whether there is a correlation between high-power and low-power paths. For example, if a current transient event is found within the time window of a voltage transient event, and the similarity of their waveform features (e.g., a correlation coefficient greater than 0.8) meets a preset condition, then an electromagnetic crosstalk correlation is determined to exist. Conversely, if no relevant current transient event is found, or the waveform feature similarity does not meet the condition, then an electromagnetic crosstalk correlation is determined to exist.

[0075] This application further proposes comparing the waveform characteristics of voltage transient events in the second feature information with the waveform characteristics of current transient events in the first feature information, including:

[0076] The peak value, duration, and slope of the rising or falling edge of the current transient are extracted from the first feature information to obtain the first feature parameter;

[0077] Extract the corresponding peak value, duration, and slope of the rising or falling edge of the voltage transient from the second feature information to obtain the second feature parameters;

[0078] Based on the first feature parameter and the second feature parameter, compare the waveform characteristics of voltage transients in the second feature information with the waveform characteristics of current transients in the first feature information to determine whether the first feature parameter and the second feature parameter satisfy a correspondence or proportional relationship.

[0079] The first characteristic parameter refers to the set of quantitative features extracted from the current transient waveform in the first characteristic information. It may include values ​​such as peak value, duration, and slope of rising or falling edge, which are used to describe the intensity, duration, and rate of change of the current transient.

[0080] The second characteristic parameter refers to the set of quantitative features extracted from the voltage transient waveform in the second characteristic information. It may include values ​​such as the corresponding peak value, duration, and slope of the rising or falling edge, which are used to describe the intensity, duration, and rate of change of the voltage transient.

[0081] The correspondence or proportional relationship refers to a certain mathematical or logical correlation between the first characteristic parameter and the second characteristic parameter. Specifically, it can be determined by a preset threshold range, a linear regression model, a nonlinear mapping function, or a proportional factor based on a physical model. The purpose is to improve the accuracy of electromagnetic crosstalk correlation judgment and avoid misjudgment through quantitative comparison.

[0082] This application's solution overcomes the limitations of traditional qualitative comparison by quantitatively analyzing the waveform characteristics of current and voltage transient events. Specifically, after identifying current transient events in the high-power path and voltage transient events in the low-power path, and initially determining a possible correlation between the two within a time window, this solution further precisely extracts the peak value, duration, and rise or fall slope of the current transient to form a first feature parameter. Simultaneously, for voltage transient events related to the current transient events within the time window, its corresponding peak value, duration, and rise or fall slope are extracted to form a second feature parameter. It is precisely because of this quantitative extraction of waveform features that subsequent accurate comparison becomes possible. Then, by determining whether the first and second feature parameters satisfy a preset correspondence or proportional relationship—for example, whether there is a specific proportionality factor between peak values, or whether the duration is consistent within the allowable error range—it is possible to more accurately identify voltage transients caused by electromagnetic crosstalk, rather than other noise or load changes. This quantitative comparison method transforms the judgment of electromagnetic crosstalk correlation from qualitative observation to quantitative analysis, improving the reliability and accuracy of the judgment, avoiding erroneous energy compensation caused by misjudgment, and thus breaking the cycle of "interference-misjudgment-compensation-new interference".

[0083] In some embodiments, comparing the waveform characteristics of voltage transient events in the second feature information with the waveform characteristics of current transient events in the first feature information can be specifically implemented as follows:

[0084] First, for each current transient event identified from the first feature information, such as a current pulse caused by a high-power path switching action, the current transient waveform can be sampled and analyzed using a digital signal processor or microcontroller. The peak value can be determined by finding the maximum or minimum value in the waveform data; the duration can be determined by calculating the time interval from the start point to the end point of the waveform; and the rise or fall slope can be determined by calculating the ratio of the voltage or current change to the time change within a specific time period. These extracted values, such as a peak current of 5A, a duration of 100ns, and a rise slope of 50A / µs, together constitute the first feature parameters.

[0085] Next, for voltage transient events associated with the aforementioned current transient events within the time window, such as voltage dips induced in low-power paths, their waveforms are also sampled and analyzed using a digital signal processor or microcontroller. The corresponding peak value (e.g., the lowest point of the voltage dip), duration, and the slope of the rising or falling edge can be extracted. For example, a voltage peak of -50mV, a duration of 95ns, and a falling edge slope of -0.5V / µs constitute the second characteristic parameters.

[0086] Subsequently, based on these extracted first and second characteristic parameters, quantitative comparisons can be performed. For example, it can be determined whether there is a preset scaling factor between the peak value of the voltage transient and the peak value of the current transient; for instance, if the peak current value is 100 times the peak voltage value, a correlation may exist. Simultaneously, it can be determined whether the duration of the voltage transient is consistent with the duration of the current transient within the allowable error range; for example, the difference in their durations is less than 5 ns. Furthermore, the slopes of the rising or falling edges can be compared to determine whether their changing trends are consistent or whether a specific proportional relationship exists. If these parameters satisfy a preset correspondence or proportional relationship—for example, the peak ratio is between 0.005 and 0.015, the duration difference is less than 10 ns, and the slope direction is consistent—then it can be determined that the voltage transient event is indeed electromagnetic crosstalk caused by the current transient of a high-power path. This method can distinguish voltage fluctuations caused by crosstalk from voltage fluctuations caused by other factors (such as load variations or random noise), thereby improving the accuracy of the judgment.

[0087] This application further proposes steps for determining whether there is a correlation between high-power paths and low-power paths, including:

[0088] The timestamp difference between current transient events and voltage transient events is calculated. If the difference is less than a preset microsecond tolerance range, they are considered to be highly overlapping in time. Furthermore, the periodic characteristics of current transient events and voltage transient events are compared. If the period of voltage transient events is consistent with the period of current transient events within a certain error range, a strong correlation is determined.

[0089] The timestamp difference refers to the time interval between the occurrence of current transient events and voltage transient events, aiming to quantify the proximity of the two events on the time axis. The microsecond tolerance range refers to an extremely small time threshold, which can be a preset value, such as 5 microseconds or 10 microseconds. Its purpose is to allow for signal transmission delays and measurement errors, while ensuring that only events with high temporal overlap are considered potentially correlated events. Periodicity refers to the regularity of the transient events' recurring occurrences over time, specifically the frequency components extracted through signal processing methods such as Fourier transform or wavelet analysis. Its purpose is to identify repetitive fluctuations caused by periodic interference sources. Consistency within a certain error range means that the numerical difference between two periodic characteristics is within an acceptable deviation range. This can be determined by setting a percentage error or absolute error threshold, aiming to account for minor fluctuations that may exist in actual signal measurement and processing, and to avoid misjudgments due to overly stringent conditions.

[0090] This application optimizes the process of determining whether there is a correlation between high-power and low-power paths by introducing further judgment on the timestamp difference and periodic characteristics of transient events. Based on identifying current transient events and obtaining their time points and waveform characteristics from the first feature information, and identifying voltage transient events and obtaining their time points and waveform characteristics from the second feature information, and after searching for current transient events within a preset time window and comparing their waveform characteristics, this application further calculates the timestamp difference between the current and voltage transient events. This calculation aims to accurately quantify the degree of synchronization between the two events in time. If the timestamp difference is less than a preset microsecond-level tolerance range, the two transient events are considered to be highly overlapping in time, indicating that they may be triggered by the same source, thus initially screening out events with strong time correlation. Furthermore, to further improve the accuracy of the judgment, this application also compares the periodic characteristics of current and voltage transient events. This is because voltage fluctuations caused by crosstalk in high-power paths often maintain consistency with the period of current changes in high-power paths. By comparing the periods of two events and determining whether they are consistent within a certain error range, interference caused by periodic crosstalk can be effectively identified. This dual judgment mechanism, namely high temporal overlap and periodic consistency, can eliminate events that are coincidentally close in time but are essentially unrelated, as well as events with similar waveform characteristics but inconsistent periods. In this way, this scheme can more accurately identify voltage fluctuations caused by crosstalk from high-power paths, avoiding misjudging normal load changes or accidental interference as crosstalk, thus providing a reliable basis for subsequent energy compensation strategies and effectively solving the problem of misjudgment or omission that may occur if only time window search and waveform comparison are used.

[0091] In some preferred embodiments, determining whether there is a correlation between high-power and low-power paths can be implemented as follows. After identifying current transient events from first feature information and voltage transient events from second feature information, a digital signal processor (DSP) can receive the time point data of these transient events. The processor first calculates the timestamp difference between the time point of each voltage transient event and the time point of the corresponding current transient event searched within a preset time window. For example, if the time point of the current transient event is T_I and the time point of the voltage transient event is T_V, then |T_V - T_I| is calculated. Subsequently, the processor compares the calculated timestamp difference with a preset microsecond-level tolerance range, for example, setting the tolerance range to 5 microseconds. If the difference is less than or equal to 5 microseconds, the two transient events are considered to be highly overlapping in time, satisfying the time synchronization condition. Furthermore, the processor can perform periodic analysis on the waveform data of the current and voltage transient events that have met the time synchronization condition. For example, a Fast Fourier Transform (FFT) can be performed on the waveform data of current transient events to extract their dominant frequency or period, and similarly, an FFT can be performed on the waveform data of voltage transient events to extract their dominant frequency or period. Assume the period of the current transient event is P_I and the period of the voltage transient event is P_V. The processor then compares P_I and P_V to determine if they are consistent within a certain error range. For example, an error range of ±5% can be set, meaning that if |P_V - P_I| / P_I ≤ 0.05, the periodic characteristics are considered consistent. Only when the timestamp difference meets the microsecond-level tolerance and the periodic characteristics are consistent within a certain error range does the system determine that there is a strong correlation between the high-power path and the low-power path. This method ensures the accuracy of the correlation determination and avoids misjudgments caused by a single-dimensional judgment.

[0092] This application further proposes steps for controlling low-power paths for energy compensation, including:

[0093] In response to the electromagnetic crosstalk between the high-power and low-power paths, the proportional gain and integral gain in the PID controller controlling the voltage regulation loop of the low-power path are temporarily set to minimum values; or fast-response PID control is disabled, and only a slow average voltage sustaining loop is retained.

[0094] To better understand the above scheme, the voltage regulation loop refers to a closed-loop control system used to maintain stable output voltage in the low-power path. It generates an error signal by real-time monitoring of the output voltage and comparing it with the setpoint, thereby driving the actuator to adjust the energy output to offset voltage fluctuations. The PID controller is a feedback controller widely used in industrial control. It calculates the control output based on the proportional, integral, and derivative terms of the error signal to achieve precise control of the system output. The proportional gain is the coefficient of the proportional term in the PID controller, which determines the controller's response strength to the current error; the larger the error, the faster the control output adjusts. The integral gain is the coefficient of the integral term in the PID controller, which determines the controller's response strength to accumulated errors and is mainly used to eliminate steady-state errors in the system. The minimum value is a value very close to zero but usually not zero. Its purpose is to significantly reduce the impact of the corresponding gain on the control output, making its response to error signals extremely slow or weak. Disabling fast-response PID control means suspending or bypassing the control logic in the PID controller used to quickly track voltage changes, for example, by setting all gains to zero or switching to other control modes, thereby avoiding overreaction to high-frequency transient signals. A slow average voltage sustaining loop is a voltage control mechanism with a slow response speed. It typically performs long-term averaging or low-pass filtering on the voltage signal, adjusting only for long-term voltage drift or large, continuous changes, while ignoring short-term, high-frequency fluctuations. It can be implemented using a simple average detection and slow feedback mechanism.

[0095] This application's solution, after determining the electromagnetic crosstalk correlation between the high-power and low-power paths, employs a specific control strategy to suppress the rapid response capability of the low-power path voltage regulation loop, thereby avoiding misinterpreting crosstalk signals as actual load demands. Specifically, when the system analyzes the transient current information of the high-power path and the transient voltage information of the low-power path, and compares their time, period, and waveform characteristics to identify an electromagnetic crosstalk correlation, this indicates that the voltage fluctuation of the low-power path is not caused by its own load changes, but by electromagnetic interference from the high-power path. In this case, if traditional fast-response PID control continues to operate, it will treat this voltage fluctuation caused by crosstalk as a load drop that needs immediate compensation, thus performing unnecessary or even harmful compensation actions. To avoid such misjudgment and incorrect compensation, this solution provides two optional control paths. The first path is to temporarily set the proportional gain and integral gain in the PID controller of the low-power path voltage regulation loop to their minimum values. The proportional gain is responsible for rapidly responding to the current error, and the integral gain is responsible for eliminating steady-state errors. Setting these values ​​to minimum significantly reduces the PID controller's sensitivity and response speed to voltage fluctuations, making it almost ineffective in rapidly adjusting for high-frequency, small-amplitude voltage fluctuations caused by electromagnetic crosstalk. This is equivalent to "passivating" the control loop, preventing it from "chasing" crosstalk signals and thus avoiding erroneous compensation due to oversensitivity. The second approach is to directly disable the fast-response PID control, retaining only a slow average voltage sustaining loop. Disabling the fast-response PID control means abandoning the ability to quickly track transient voltage changes, instead adopting a smoother, more hysteretic control method. The slow average voltage sustaining loop, through long-term voltage averaging, effectively filters out high-frequency crosstalk signals, adjusting only for long-term voltage drift or persistent voltage deviations caused by actual load changes. This approach ensures the overall stability of the low-power path voltage while avoiding erroneous responses to transient crosstalk. Through these two strategies, this scheme can effectively distinguish between voltage fluctuations caused by electromagnetic crosstalk and voltage fluctuations caused by changes in the low-power path's own load. When electromagnetic crosstalk is detected, the system no longer blindly performs rapid compensation, but actively suppresses or adjusts the controller's response characteristics, thereby breaking the vicious cycle of "interference-misjudgment-compensation-new interference" described in the background art. This intelligent control strategy enables the electrical module to adapt to complex electromagnetic environments, ensures the power supply quality of low-power paths, avoids abnormal operation of energy conversion devices and the generation of new harmonic interference caused by incorrect compensation, and thus improves the overall stable operation capability of the electrical module.

[0096] In some preferred embodiments, this application is implemented as follows. When the control unit of the electrical module analyzes the transient current changes in the high-power path and the transient voltage changes in the low-power path, and determines that there is an electromagnetic crosstalk correlation between the two, the control unit will immediately adjust the voltage regulation strategy of the low-power path power supply unit. Specifically, the control unit can send an instruction to the digital PID controller responsible for low-power path voltage regulation, temporarily setting the proportional gain Kp and integral gain Ki in the PID controller to a preset minimum value, for example, adjusting the proportional gain from 0.5 to 0.001 and the integral gain from 0.2 to 0.0005. These minimum values ​​make the PID controller almost unresponsive to the instantaneous fluctuations in the low-power path voltage, thereby effectively suppressing the miscompensation of electromagnetic crosstalk signals. As another specific implementation, the control unit can directly disable the fast-response PID control function of the low-power path power supply unit after detecting the electromagnetic crosstalk correlation. This can be achieved by switching the control mode in the control software, for example, setting the output of the PID controller directly to zero, or transferring its control to an independent slow loop that is only regulated based on the long-term average voltage value. This slow average voltage sustaining loop can be a simple voltage average detector combined with a low-bandwidth feedback mechanism, for example, sampling the voltage and making a small adjustment only every 100 milliseconds to ensure overall voltage stability while completely ignoring microsecond or millisecond-level transient fluctuations caused by crosstalk from high-power paths. This approach ensures that the supply voltage of low-power paths will not generate new interference due to miscompensation when crosstalk is present, thus maintaining the stable operation of sensitive loads.

[0097] This application further proposes controlling the energy compensation of the low-power path based on the judgment result of electromagnetic crosstalk correlation, including:

[0098] Since there is no electromagnetic crosstalk correlation between the high-power path and the low-power path, the proportional, integral and / or derivative gain in the feedback loop of the low-power path power supply unit is adjusted according to the load change characteristics of the low-power path, thereby adjusting the feedback control parameters of the low-power path power supply unit to limit the transient rate of change of the output voltage or current of the power supply unit.

[0099] Among them, the load change characteristics of the low-power path refer to the pattern or trend of the current or voltage demand of the load connected to the low-power path changing over time during operation. This can be achieved by real-time monitoring of the current or voltage information of the low-power path and analyzing and extracting features from this information, such as identifying step changes, periodic changes, or random fluctuations in the load. The purpose is to provide a basis for subsequent adjustment of feedback control parameters. Feedback control parameters refer to the adjustable quantities in the control loop that affect the output stability and response speed of the power supply unit, including but not limited to PID gain, filter coefficients, dead time settings, etc. These can be implemented by configuring the registers inside the digital signal processor (DSP) or microcontroller (MCU). The purpose is to finely control the output behavior of the power supply unit by changing these parameters. Limiting the transient rate of change of the output voltage or current of the power supply unit refers to ensuring, through control strategies, that the rise or fall rate of the output voltage or current of the power supply unit is controlled within a preset range when the load changes, avoiding overshoot, undershoot, or violent fluctuations. This can be achieved by adjusting the PID gain, introducing ramp control, or limiting circuits. The purpose is to improve power quality and system stability and protect sensitive loads.

[0100] In some preferred embodiments, this application is implemented as follows. When the control unit of the electrical module determines, by analyzing the operating characteristics of the high-power path and the low-power path, that there is no electromagnetic crosstalk correlation between them, the system immediately switches to an adaptive energy distribution control mode. Specifically, the control unit continuously monitors the output current and output voltage information of the low-power path, for example, by real-time sampling using current and voltage sensors. This sampled data is sent to a digital signal processor (DSP) or microcontroller (MCU). The processor runs a load characteristic analysis algorithm, for example, by calculating the instantaneous rate of change, average value, root mean square value of current or voltage, and performing spectral analysis to identify the load change characteristics of the low-power path. For example, if a large step change in current is detected in a short period of time, it is judged as a fast transient load; if the current or voltage exhibits periodic fluctuations, it is judged as a periodic load; if the change is slow and the amplitude is small, it is judged as a steady-state or slow-changing load. Based on the identified load change characteristics, the control unit dynamically adjusts the PID controller parameters of the low-power path power supply unit. For example, for fast transient loads, the system can increase the proportional gain (Kp) and derivative gain (Kd) to improve the power supply unit's response speed to load changes, quickly suppress voltage drops or overshoots, and thus limit the transient rate of change of the output voltage. For slow-changing loads or scenarios requiring high steady-state accuracy, the system can appropriately increase the integral gain (Ki) to eliminate steady-state errors and ensure the long-term stability of the output voltage or current. This adjustment can be achieved through a preset lookup table, i.e., pre-storing a set of optimized PID gain parameters for different load change characteristics; or through an adaptive algorithm, such as adaptive PID control based on fuzzy logic or neural networks, which dynamically calculates the optimal gain combination based on real-time load characteristics. In this way, the feedback control parameters of the power supply unit are optimized, enabling it to provide accurate energy compensation and respond quickly according to the actual needs of the low-power path itself, thereby effectively limiting the transient rate of change of the output voltage or current and ensuring power quality.

[0101] This application further proposes a method based on the load change characteristics of a low-power path, including: monitoring the current or voltage information of the low-power path; and extracting features from the current or voltage information to obtain the load change characteristics of the low-power path.

[0102] Among them, current or voltage information refers to real-time data reflecting the electrical state of the low-power path, which can be obtained using current sensors, voltage sensors, or voltage divider resistor networks, and its purpose is to provide basic data on the load state. Feature extraction refers to processing the raw current or voltage data to identify and quantify the specific patterns or trends contained therein. It can be achieved using statistical analysis methods (such as mean, variance, peak value, and slope calculation), frequency domain analysis methods (such as Fourier transform), or time domain transient analysis methods, and its purpose is to extract meaningful load change indicators from the raw data. Load change characteristics refer to quantitative indicators obtained through feature extraction that can describe the dynamic behavior of the low-power path load. These can include the transient change amplitude, duration, rate of change, periodicity, or average power consumption of the load, and their purpose is to provide a precise basis for subsequent adjustment of feedback control parameters.

[0103] This application's solution monitors the current or voltage information of the low-power path and extracts features from this information to obtain the load change characteristics of the low-power path. This provides a precise basis for adjusting the proportional, integral, and / or derivative gain of the feedback loop of the low-power path power supply unit. Because features are extracted from the current or voltage information, rather than relying solely on instantaneous values, the system can more comprehensively and accurately understand the dynamic behavior of the load, such as distinguishing between instantaneous spikes, periodic fluctuations, or continuous changes. This in-depth understanding of load change characteristics allows subsequent adjustments to the feedback control parameters to more accurately match actual load requirements, avoiding overcompensation or undercompensation problems caused by insufficient information in traditional methods. Based on this, when it is determined that there is no electromagnetic crosstalk correlation between the high-power and low-power paths, this solution can adaptively adjust the feedback control parameters of the low-power path power supply unit based on these precisely acquired load change characteristics. This adjustment is based on the identification of actual load changes, rather than misjudging crosstalk interference. Therefore, this solution ensures that the energy compensation action is performed based on the actual needs of the low-power path itself, thereby effectively limiting the transient rate of change of the output voltage or current of the power supply unit and maintaining the stability and purity of the power supply. This mechanism avoids a vicious cycle caused by incorrect compensation, that is, it prevents unnecessary compensation actions from causing changes in the module's thermal conditions and generating new harmonic interference, ultimately ensuring the power supply quality and stable operation of high noise-sensitive units.

[0104] In some preferred embodiments, to perform accurate energy compensation based on the load variation characteristics of the low-power path, the following specific steps can be taken: First, monitor the current or voltage information of the low-power path. For example, a high-precision current sampling resistor can be connected in series at the output of the low-power path, and the current information can be obtained by measuring the voltage drop across the resistor; simultaneously, a high-impedance voltage probe or voltage divider network can be connected in parallel to obtain voltage information. These analog signals can be fed into a high-speed analog-to-digital converter (ADC) to convert them into digital signals for subsequent digital processing. Next, feature extraction is performed on these digitized current or voltage information. Specifically, a digital signal processor (DSP) or microcontroller (MCU) can perform the following operations: For current information, its root mean square (RMS) value within a specific time window can be calculated to reflect the average power variation of the load; simultaneously, the slope of the rising and falling edges of the current waveform, as well as the instantaneous peak value, can be detected to identify transient impacts on the load. For voltage information, its frequency components can be analyzed, for example, by using a fast Fourier transform (FFT) to detect the presence of specific harmonic components, or by calculating the variance of the voltage to assess its stability. Furthermore, algorithms such as sliding window averaging and exponential smoothing can be used to filter out high-frequency noise, thereby more clearly identifying the slow change trend of the load. Through the above feature extraction process, the load change characteristics of the low-power path can be obtained. For example, if a continuous increase in the current RMS value is detected, accompanied by periodic voltage drops, this may indicate that the load is performing periodic high-power operation; if a rapid and large instantaneous spike in current is detected, followed by a brief voltage drop, this may indicate that the load has experienced a transient impact. These extracted load change characteristics, such as the amplitude, duration, rate of change, and periodicity of load changes, will be used as the basis for adjusting the proportional, integral, and / or differential gain of the feedback loop of the low-power path power supply unit, thereby achieving accurate energy compensation for the low-power path.

[0105] Furthermore, this example proposes an electrical module energy distribution control system, wherein the electrical module includes a high-power path and a low-power path; such as Figure 2 As shown, the system includes:

[0106] The acquisition module 201 is used to acquire a first operating characteristic of the high-power path and a second operating characteristic of the low-power path; the first operating characteristic includes current change information; the second operating characteristic includes voltage change information.

[0107] The determining module 202 is used to determine first feature information and second feature information based on the first operating feature and the second operating feature, respectively; the first feature information includes the high-power path current transient time and current transient period information; the second feature information includes the low-power path voltage transient time and voltage transient period information.

[0108] The judgment module 203 is used to determine whether there is electromagnetic crosstalk correlation between the high-power path and the low-power path based on the first feature information and the second feature information.

[0109] The energy compensation module 204 is used to control the low-power path to perform energy compensation based on the judgment result of electromagnetic crosstalk correlation.

[0110] Through the above technical solution, this system effectively solves the problem of periodic voltage disturbances introduced by physical crosstalk in high-power paths within compact electrical modules. The system's modular design enables precise acquisition and analysis of the operating characteristics of both high-power and low-power paths, accurately identifying and distinguishing voltage fluctuations caused by electromagnetic crosstalk from the actual load changes of the low-power path itself. This prevents the control system from misinterpreting crosstalk as load demand and executing incorrect compensation actions, thus breaking the vicious cycle of "interference-misinterpretation-compensation-new interference." Ultimately, this system ensures the power supply quality and stable operation of the low-power path supplying power to high-noise-sensitive units, improving the reliability and performance of the entire electrical module. Furthermore, its modular system design simplifies and facilitates implementation, reducing the complexity of deployment and maintenance.

[0111] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. An electrical module energy distribution control method, characterized by, The electrical module includes a high-power path and a low-power path; the method includes: obtaining a first operating characteristic of the high-power path and a second operating characteristic of the low-power path; the first operating characteristic includes current change information; the second operating characteristic includes voltage change information; determining first characteristic information and second characteristic information according to the first operating characteristic and the second operating characteristic respectively; the first characteristic information includes high-power path current transient time and current transient period information; the second characteristic information includes low-power path voltage transient time and voltage transient period information; determining whether there is electromagnetic crosstalk correlation between the high-power path and the low-power path according to the first characteristic information and the second characteristic information; controlling energy compensation of the low-power path according to the determination result of the electromagnetic crosstalk correlation; the determination of whether there is electromagnetic crosstalk correlation between the high-power path and the low-power path according to the first characteristic information and the second characteristic information includes: identifying a current transient event from the first characteristic information and obtaining a time point and waveform characteristics of the current transient event; identifying a voltage transient event from the second characteristic information and obtaining a time point and waveform characteristics of the voltage transient event; the current transient event includes a rapid rising or falling edge of current; the voltage transient event includes a rapid rising or falling edge of voltage; for each voltage transient event identified in the second characteristic information, searching for a current transient event identified in the first characteristic information within a preset time window before the time point of the voltage transient event; if a current transient event in the first characteristic information is searched within the time window, comparing the waveform characteristics of the voltage transient event in the second characteristic information with the waveform characteristics of the current transient event in the first characteristic information; determining whether there is correlation between the high-power path and the low-power path according to the search result and the comparison result; the determination of whether there is correlation between the high-power path and the low-power path according to the search result and the comparison result includes: calculating the time stamp difference of the current transient event and the voltage transient event, and if the difference is less than a preset microsecond tolerance range, considering that the time is highly coincident; further, comparing the periodic characteristics of the current transient event and the voltage transient event, and if the period of the voltage transient event and the period of the current transient event are consistent within a certain error range, it is determined that there is strong correlation; the control of the energy compensation of the low-power path according to the determination result of the electromagnetic crosstalk correlation includes: in response to the existence of electromagnetic crosstalk correlation between the high-power path and the low-power path, temporarily setting the proportional gain and integral gain in the PID controller of the voltage regulation loop of the low-power path to a minimum value; or disabling the fast response PID control and only retaining a slow average voltage maintenance loop. In response to the absence of electromagnetic crosstalk correlation between the high-power channel and the low-power channel, according to the load variation characteristics of the low-power channel, the proportional, integral and / or differential gains in the low-power channel power supply unit feedback loop are adjusted, so as to adjust the feedback control parameters of the low-power channel power supply unit, so as to limit the transient change rate of the output voltage or current of the power supply unit.

2. An electrical modular energy distribution control method according to claim 1, characterized in that, According to the first operation characteristic and the second operation characteristic, first characteristic information and second characteristic information are determined, including: The period of the first operation characteristic is determined, and the first operation characteristic is synchronously superimposed according to the period of the first operation characteristic; the first characteristic information is extracted from the superimposed first operation characteristic; The second operation characteristic is synchronously superimposed according to the period of the first operation characteristic; the second characteristic information is extracted from the superimposed second operation characteristic.

3. The electrical modular energy distribution control method of claim 1, wherein, Before obtaining the first operation characteristic of the high-power channel and the second operation characteristic of the low-power channel, the method further comprises: Synchronously triggering the low-power channel to generate a transient change of a preset characteristic while triggering the high-power channel to generate a transient change of a preset characteristic; Measuring a first response time point of the high-power channel transient change and a second response time point of the low-power channel transient change; According to the first response time point and the second response time point, a response time difference is determined; when obtaining the first operation characteristic of the high-power channel and the second operation characteristic of the low-power channel subsequently, the first operation characteristic and the second operation characteristic are time-aligned according to the response time difference.

4. The electrical modular energy distribution control method of claim 1, wherein, The comparison of the waveform characteristics of the voltage transient event in the second characteristic information and the waveform characteristics of the current transient event in the first characteristic information comprises: Extracting the peak value, duration and rising or falling edge slope of the current transient in the first characteristic information to obtain first characteristic parameters; Extracting the corresponding peak value, duration and rising or falling edge slope of the voltage transient in the second characteristic information to obtain second characteristic parameters; According to the first characteristic parameters and the second characteristic parameters, the waveform characteristics of the voltage transient event in the second characteristic information and the waveform characteristics of the current transient event in the first characteristic information are compared to determine whether the first characteristic parameters and the second characteristic parameters satisfy a corresponding relationship or a proportional relationship.

5. The electrical modular energy distribution control method of claim 1, wherein, According to the load variation characteristics of the low-power channel, including: Monitoring the current or voltage information of the low-power channel; and extracting the characteristics of the current or voltage information to obtain the load variation characteristics of the low-power channel.

6. An electrical modular energy distribution control system, characterized by, The electrical module comprises a high-power channel and a low-power channel; the system comprises: An acquisition module is configured to obtain a first operation characteristic of a high-power channel and a second operation characteristic of a low-power channel; the first operation characteristic comprises current variation information; and the second operation characteristic comprises voltage variation information. The determining module is configured to determine first feature information and second feature information according to the first operation feature and the second operation feature respectively; the first feature information comprises high-power path current transient time and current transient period information; and the second feature information comprises low-power path voltage transient time and voltage transient period information. The judging module is configured to judge whether there is electromagnetic crosstalk correlation between the high-power path and the low-power path according to the first feature information and the second feature information. The energy compensation module is configured to control the low-power path to perform energy compensation according to the judgment result of the electromagnetic crosstalk correlation. The judging module is further configured to: identify a current transient event from the first feature information and obtain a time point and waveform feature of the current transient event; identify a voltage transient event from the second feature information and obtain a time point and waveform feature of the voltage transient event; the current transient event comprises a rapid rising or falling edge of current; and the voltage transient event comprises a rapid rising or falling edge of voltage. For each voltage transient event identified from the second feature information, search for a current transient event identified from the first feature information within a preset time window before the time point of the voltage transient event. If a current transient event in the first feature information is searched for within the time window, compare the waveform feature of the voltage transient event in the second feature information with the waveform feature of the current transient event in the first feature information. According to the search result and the comparison result, judge whether there is correlation between the high-power path and the low-power path. The judging whether there is correlation between the high-power path and the low-power path according to the search result and the comparison result comprises: calculating a time stamp difference value of the current transient event and the voltage transient event, and if the difference value is less than a preset microsecond tolerance range, considering that the time is highly coincident; further, comparing the periodicity features of the current transient event and the voltage transient event, and if the period of the voltage transient event and the period of the current transient event are consistent within a certain error range, determining that there is strong correlation. The controlling the low-power path to perform energy compensation according to the judgment result of the electromagnetic crosstalk correlation comprises: in response to the existence of electromagnetic crosstalk correlation between the high-power path and the low-power path, temporarily setting the proportional gain and the integral gain in the PID controller of the voltage regulation loop of the low-power path to be extremely small values; or disabling the fast response PID control and only retaining a slow average voltage maintenance loop; in response to the non-existence of electromagnetic crosstalk correlation between the high-power path and the low-power path, adjusting the proportional gain, the integral gain and / or the differential gain in the feedback loop of the low-power path power supply unit according to the load change feature of the low-power path, so as to adjust the feedback control parameters of the low-power path power supply unit, so as to limit the transient change rate of the output voltage or current of the power supply unit.

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