CN-120891279-B - Charging pile load radiation disturbance background noise monitoring method

CN120891279BCN 120891279 BCN120891279 BCN 120891279BCN-120891279-B

Abstract

The application provides a charging pile load radiation disturbance noise floor monitoring method which comprises the steps of obtaining real-time current data and magnetic core internal magnetic flux density values in the operation of a charging pile, determining an initial current threshold value of the saturation degree of the magnetic core, calculating deviation values of the magnetic flux density and a preset saturation threshold value to obtain the saturation deviation values, identifying the magnetic field distribution intensity of the magnetic core under the current load according to the saturation deviation values by adopting a finite element analysis method, judging the radiation suppression attenuation degree to obtain radiation attenuation multiples, processing real-time waveform data of noise floor signals generated by an internal circuit of the charging pile and detected and received by the magnetic core according to the radiation attenuation multiples, determining triggering points of electromagnetic instability circulation, adjusting the magnetic core configuration values according to the deviation amplitude prediction values to recover radiation intensity control, identifying real-time calibration noise floor fluctuation levels, and monitoring attenuation effects of the electromagnetic instability circulation in the calibration process to obtain optimized compatible performance values.

Inventors

ZHU JIANHUA
You Shuifu
YAO SHU
CHEN XIANGU
LUO YONGSHU
CAO JIANBIAO
Qiu Rongdao
ZHONG XIANG

Assignees

深检集团(东莞)质量技术服务有限公司

Dates

Publication Date: 20260512
Application Date: 20250928

Claims (6)

1. The method for monitoring the load radiation disturbance noise of the charging pile is characterized by comprising the steps of acquiring real-time current data and magnetic flux density data inside a magnetic core in the operation of the charging pile, determining an initial threshold value of the saturation degree of the magnetic core, and calculating the deviation between the magnetic flux density data and a preset saturation threshold value to obtain saturation deviation data; analyzing the magnetic field distribution intensity of a magnetic core under the current load according to the saturation deviation data, comparing the quantized value of the radiation suppression capacity with a preset suppression threshold value, determining the attenuation multiple of the radiation suppression, processing the bottom noise signal waveform data generated by an internal circuit of a charging pile according to the attenuation multiple of the radiation suppression, determining the trigger point of the electromagnetic unstable circulation, including determining the sampling frequency according to the attenuation multiple of the radiation suppression, acquiring the bottom noise signal waveform data generated by a charging pile switching power supply, performing frequency domain transformation on the bottom noise signal waveform data, extracting each frequency component amplitude, performing difference calculation on the current cycle amplitude and the previous cycle amplitude, recording the difference as the bottom noise fluctuation amplitude, forming a time sequence according to the bottom noise fluctuation amplitude, identifying a time period continuously exceeding the preset threshold value, determining the trigger point of the electromagnetic unstable circulation at the starting moment, monitoring the transmission data flow between the charging pile and an electric automobile according to the trigger point of the electromagnetic unstable circulation, acquiring the interference duration data, analyzing the load fluctuation of the charging process according to the interference duration data, identifying the working point offset track, calculating the offset amplitude in the working point offset track and the load current variation, acquiring the predicted current offset window according to the interference duration window, setting the continuous data, acquiring the continuous interference data window, calculating a current change rate sequence, extracting periodic change characteristics as a load fluctuation rule, mapping a current value in the load fluctuation rule to a magnetic core characteristic curve, determining working point coordinates, connecting all working points to form an offset track, extracting displacement of the working point offset track as offset amplitude, calculating correlation coefficients of the offset amplitude and load current change as matching degree, establishing a function relation between the offset amplitude and load current according to the matching degree, substituting expected current values to obtain offset amplitude prediction data, calculating a magnetic conductivity compensation value according to the offset amplitude prediction data, adjusting magnetic core configuration parameters, adjusting a noise fluctuation level according to deviation of a noise floor signal amplitude and a reference value, outputting a control quantity to adjust signal amplification multiple, updating a frequency response parameter, calibrating the noise floor fluctuation level, continuously collecting electromagnetic interference signal amplitude, calculating adjacent sampling point amplitude ratio, judging electromagnetic unstable cyclic attenuation when the continuous ratio is smaller than a preset threshold, counting attenuation duration, comprehensively obtaining compatible performance data according to the attenuation duration and noise floor amplitude reduction ratio, dividing load power intervals according to the compatible performance data, recording radiation disturbance intensity values of each interval to form a corresponding relation table, extracting the corresponding relation between the noise floor signal amplitude and the reference value, calculating the noise floor fluctuation average value, continuously collecting noise floor signal amplitude and the noise floor fluctuation trend, and weighting the noise floor fluctuation trend data according to the noise floor fluctuation average value, and weighting trend monitoring noise floor fluctuation average value, and weighting the noise floor fluctuation trend data is calculated, and the noise floor fluctuation trend is obtained.
2. The method for monitoring the radiation disturbance noise of the charging pile load according to claim 1 is characterized by comprising the steps of obtaining real-time current data and magnetic core internal magnetic flux density data in the operation of the charging pile, determining an initial threshold value of the saturation degree of the magnetic core, calculating the deviation between the magnetic flux density data and a preset saturation threshold value to obtain saturation deviation data, obtaining the operation current transient data of a main loop of the charging pile through a current transformer, measuring the magnetic flux density data on the cross section of the magnetic core through a sensor, determining a saturation critical value of the magnetic flux density data according to a magnetic core material characteristic curve, setting the current value as the initial threshold value of the saturation degree of the magnetic core when the operation current transient data reaches a current value corresponding to the saturation critical value, extracting a maximum value from the magnetic flux density data, and performing difference calculation with the saturation critical value to obtain the saturation deviation data.
3. The method for monitoring the radiation disturbance noise of the charging pile load according to claim 1 is characterized by comprising the steps of analyzing the magnetic field distribution intensity of a magnetic core under the current load according to the saturation deviation data, comparing a radiation suppression capacity quantification value with a preset suppression threshold value, determining a radiation suppression weakening factor, constructing a magnetic core three-dimensional grid model according to the saturation deviation data, converting the saturation deviation data into a magnetic permeability correction coefficient, endowing grid node corrected magnetic permeability values, iteratively solving a magnetic field distribution equation to obtain magnetic flux density distribution data and a magnetic field intensity distribution diagram, extracting surface normal magnetic flux components from the magnetic flux density distribution data, calculating the space radiation field intensity, comparing the space radiation field intensity with a reference radiation field intensity to obtain the radiation suppression factor, comparing the radiation suppression factor with the preset suppression threshold value, calculating a difference ratio, and determining the radiation suppression weakening factor.
4. The method for monitoring radiation disturbance noise of the charging pile load according to claim 1 is characterized in that the method for determining the trigger point of the electromagnetic instability loop comprises the steps of adjusting signal receiving sensitivity according to the radiation inhibition weakening multiple, collecting noise signal voltage data when a switching tube is conducted, comparing the noise signal voltage data with a reference voltage value to obtain voltage deviation data, recording duration time when the voltage deviation data is exceeded, simultaneously measuring the frequency offset of waveform data of the noise signal, and determining the trigger point of the electromagnetic instability loop at the current moment if the voltage deviation data and the frequency offset meet preset conditions at the same time and reach a threshold value.
5. The method for monitoring the radiation disturbance noise of the charging pile load according to claim 1 is characterized by monitoring the transmission data flow between the charging pile and the electric automobile according to the triggering point of the electromagnetic unstable cycle, obtaining the disturbance duration time data, comprising the steps of extracting carrier signal power and background noise power from a communication link according to the triggering point of the electromagnetic unstable cycle, calculating signal-to-noise ratio data, comparing the signal-to-noise ratio data with a preset disturbance threshold value, recording the disturbance starting moment, continuously monitoring the signal-to-noise ratio data until the signal-to-noise ratio data is recovered to be above the threshold value, recording the recovery moment, and calculating the difference between the recovery moment and the starting moment to obtain the disturbance duration time data.
6. A method for monitoring radiation disturbance noise of a charging pile load according to claim 1 is characterized in that the method comprises the steps of setting a sampling time window according to disturbance duration data, collecting instantaneous data of the output current of the charging pile, calculating current variation to form a current variation data chain, restoring an actual current value according to the current variation data chain, calculating working point coordinates, connecting the working point coordinates to form a moving path, calculating path segment length and a deviation angle, and marking the path segment length or the deviation angle as the working point deviation track if the path segment length or the deviation angle exceeds a preset range.

Description

Charging pile load radiation disturbance background noise monitoring method Technical Field The invention relates to the technical field of information, in particular to a charging pile load radiation disturbance noise monitoring method. Background In the age that electric automobile popularizes fast, charging infrastructure has become the core pillar of guarantee energy conversion and carbon emission reduction, and fills electric pile and as its key node, directly influences electric wire netting stability and user experience. Any minor electromagnetic interference can be amplified to system level faults, and the whole ecology safe operation is threatened, so that the research on the electromagnetic compatibility of the charging pile is particularly urgent. Traditional charging pile designs rely on static magnetic core configurations to suppress radiation disturbance, but these approaches ignore the interaction effects under dynamic loads, resulting in core operating conditions and noise performance disjoint. Especially in high-power charging scenes, the existing scheme cannot capture linkage influence of internal changes of the magnetic core on external radiation, so that the background noise monitoring precision repeatedly fluctuates in practical application. This is because when the charging power is suddenly increased from 60kW to 120kW, millisecond-level sudden changes in the magnetic flux density of the magnetic core can generate high-frequency harmonics to directly radiate through the shielding layer, and the static monitoring system cannot track such transient processes in real time, so that 5% -15% deviation of the monitoring data occurs between different charging periods, and reliable real-time intervention cannot be realized. There is a close interaction between the core saturation level and the communication signal noise level, which results from the magnetic flux density variations of the charging pile core as the load fluctuates. Specifically, when the charging pile processes sudden peak current, the magnetic flux density of the magnetic core is rapidly increased, the radiation emission intensity breaks through a threshold value, once the magnetic flux density of the magnetic core of the charging pile approaches a saturation limit, the magnetic permeability is rapidly reduced to obviously weaken the inhibiting effect of the magnetic core on high-frequency radiation, the weakening of the inhibiting capability amplifies the fluctuation amplitude of a noise signal, and an electromagnetic unstable state with increased circulation is formed, for example, when 3 350kW super-charging piles in a certain high-speed service area work simultaneously, the chain reaction caused by the saturation of the magnetic core causes communication abnormality to all 6 charging piles of the whole charging station. The increase of the radiation emission intensity can directly interfere with the signal acquisition precision of the background noise monitoring circuit, so that the background noise signal amplitude is increased instantaneously, and further stable transmission of the communication module is interfered, and vehicle charging interruption or data loss is caused, so that the background noise monitoring circuit becomes a common pain point of on-site operation and maintenance. Disclosure of Invention The invention provides a charging pile load radiation disturbance background noise monitoring method, which mainly comprises the following steps: The method comprises the steps of obtaining real-time current data and magnetic flux density data in a magnetic core in the operation of a charging pile, determining an initial threshold value of the saturation degree of the magnetic core, calculating the deviation of the magnetic flux density data and a preset saturation threshold value to obtain saturation deviation data, analyzing the magnetic field distribution intensity of the magnetic core under the current load according to the saturation deviation data, comparing a quantized value of radiation inhibition capacity with the preset inhibition threshold value to determine a radiation inhibition weakening multiple, processing noise signal waveform data generated by an internal circuit of the charging pile according to the radiation inhibition weakening multiple to determine a trigger point of electromagnetic unstable circulation, monitoring the transmission data flow between the charging pile and an electric automobile according to the trigger point of the electromagnetic unstable circulation to obtain interference duration data, analyzing the load fluctuation law of the charging process according to the interference duration data, identifying the deviation track of a working point, calculating the matching degree of the deviation amplitude and the load current change in the deviation track of the working point to obtain deviation amplitude prediction data, adjusting the magnetic core configuration parameter according t