Anti-interference connector for automobile electronic system

Abstract

The invention relates to the technical field of signal data processing, in particular to an anti-interference connector for an automobile electronic system.The anti-interference connector is characterized in that firstly, characteristic performance of an original signal in a frequency spectrum within a time period with arc stroboscopic interference is analyzed, and an arc stroboscopic frequency band and an arc stroboscopic influence coefficient are obtained; on the basis of the arc strobe influence coefficient, the baseline drift condition and the signal fluctuation condition on the time sequence are combined, and the influence of the electromagnetic interference, namely the arc strobe interference, is more accurately quantified through the determined electromagnetic interference characteristic value; further determining a sensitivity weight representing the influence caused by aging accumulation of the anti-interference connector; the to-be-processed analog signal is corrected according to the sensitivity weight representing the interference component and the electromagnetic interference characteristic value, so that the obtained corrected analog signal is more accurate, and the accuracy of abnormal monitoring of the automobile electronic system according to the corrected analog signal is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of signal data processing, and in particular to an anti-interference connector for automotive electronic systems. Background Art

[0002] Anti-interference connectors are specifically designed to reduce or eliminate the effects of electromagnetic interference (EMI). Through their specific design and material selection, they protect signals from external interference during transmission, ensuring stable and accurate data. They are widely used in various scenarios requiring high-precision, high-reliability signal transmission.

[0003] Components like the motor controller and high-voltage battery system generate high-frequency electromagnetic fields, requiring shielding and filtering to suppress radiated interference. Existing technologies typically use frequency-domain filtering to process the transmission signals of automotive electronic systems to suppress external noise interference.

[0004] However, due to the changes in scenarios encountered during vehicle driving, the connectors in the chassis need to cope with high temperatures or extreme cold, which can lead to material aging or insulation failure. The shielding effectiveness of the connector will be significantly reduced due to insulation failure or changes in contact impedance caused by thermal expansion and contraction of the material, and the corresponding signal baseline drift phenomenon will be aggravated. At this time, signal processing through frequency filtering will lose actual monitoring information due to excessive smoothing, resulting in poor suppression of external noise interference, and low accuracy of abnormal monitoring of automotive electronic systems based on the smoothed signal. Summary of the Invention

[0005] In order to solve the technical problem that signal processing through frequency filtering loses actual monitoring information due to excessive smoothing, resulting in poor suppression of external noise interference, the purpose of this application is to provide an anti-interference connector for automotive electronic systems. The technical solution adopted is as follows:

[0006] In a first aspect, the present application provides an anti-interference connector for an automotive electronic system, comprising a connector, a photoelectric receiver, and an anti-interference device; the connector is configured to receive an analog signal to be processed from the automotive electronic system; the photoelectric receiver is configured to detect arc strobe moments; the photoelectric receiver and the connector are both signal-connected to the anti-interference device; the anti-interference device obtains the analog signal to be processed from the automotive electronic system during vehicle driving and all arc strobe moments at which arc strobes occur; and the arc strobe frequency segment is determined based on the amplitude distribution corresponding to the spectrum of neighboring signal segments at each arc strobe moment in the analog signal to be processed after time-frequency conversion.

[0007] Performing empirical mode decomposition on the analog signal to be processed to obtain at least two IMF component signals; determining the arc stroboscopic influence coefficient at each sampling moment in each IMF component signal based on the overall frequency amplitude of the arc stroboscopic frequency segment and the frequency overlap between the frequency amplitude and each IMF component signal;

[0008] In each IMF component signal, the corresponding electromagnetic interference characteristic value is determined based on the arc stroboscopic influence coefficient and the baseline drift and signal fluctuation within the time series neighborhood of each sampling moment; and the sensitivity weight of each IMF component signal during the vehicle driving process is determined based on the change of the corresponding electromagnetic interference characteristic value during the vehicle driving process;

[0009] The acquisition process of each IMF component signal is corrected one by one according to the sensitivity weight and the electromagnetic interference characteristic value to determine the electromagnetic interference signal; the analog signal to be processed is corrected according to the electromagnetic interference signal to determine the corrected analog signal; and the abnormality monitoring of the automotive electronic system is performed according to the corrected analog signal.

[0010] Furthermore, the process of obtaining the arc stroboscopic frequency range includes:

[0011] On the analog signal to be processed, a short-time Fourier transform is performed on a local signal segment within a preset neighborhood time period of each arc strobe moment to obtain a corresponding spectrum signal; the amplitudes of all frequencies in the spectrum signal are clustered to obtain at least two amplitude clusters; the amplitude cluster with the largest mean of all corresponding amplitudes is used as the arc strobe cluster; and a reference frequency interval is determined based on the continuity of the frequency distribution in the arc strobe cluster;

[0012] The average of the maximum frequencies of all reference frequency intervals corresponding to all arc strobe moments is used as the upper limit of the arc strobe frequency segment; the average of the minimum frequencies of all reference frequency intervals corresponding to all arc strobe moments is used as the lower limit of the arc strobe frequency segment;

[0013] The arc strobe frequency segment is determined according to the arc strobe frequency segment upper limit value and the arc strobe frequency segment lower limit value.

[0014] Furthermore, the process of obtaining the reference frequency interval includes:

[0015] Acquire all continuous frequency intervals in the arc strobe cluster; the previous frequency and the next frequency of the continuous frequency interval do not belong to the arc strobe cluster, and all frequencies in the reference frequency interval are continuous and belong to the arc strobe cluster; and use the continuous frequency interval with the largest number of frequencies as the reference frequency interval.

[0016] Furthermore, the process of obtaining the arc stroboscopic influence coefficient includes:

[0017] Normalizing the length of the frequency segment that overlaps the frequency segment corresponding to the frequency range of each IMF component signal and the arc strobe frequency segment to determine the arc strobe impact probability of each IMF component signal; and taking the average amplitude of all frequencies in the arc strobe frequency segment as the arc strobe impact amplitude;

[0018] A positive correlation mapping is performed on the product of the arc strobe influence amplitude and the arc strobe influence probability to determine the arc strobe influence coefficient at the sampling moment belonging to the arc strobe moment; and the arc strobe influence coefficient at the sampling moment not belonging to the arc strobe moment is set to a preset influence coefficient.

[0019] Furthermore, the process of obtaining the electromagnetic interference characteristic value includes:

[0020] In each IMF component signal, all sampling moments within the preset neighborhood window of each sampling moment are taken as neighborhood window moments; the signal value ranges of all neighborhood window moments corresponding to each sampling moment are normalized to determine the local fluctuation amplitude of each sampling moment;

[0021] The degree of local baseline drift at each sampling moment is determined based on the overall deviation between the mean envelope and the baseline at all neighborhood window moments;

[0022] The product of the arc flicker influence coefficient, the local fluctuation amplitude and the local baseline drift degree at each sampling moment is normalized to determine the corresponding electromagnetic interference characteristic value.

[0023] Furthermore, the process of obtaining the degree of local baseline drift includes:

[0024] The difference between the value of the mean envelope corresponding to each neighborhood window moment and the value of the baseline is taken as the corresponding instantaneous drift degree; the local baseline drift degree at each sampling moment is determined based on the mean value of the instantaneous drift degrees of all neighborhood window moments.

[0025] Furthermore, the process of obtaining the sensitivity weight includes:

[0026] Under each IMF component signal, the electromagnetic interference characteristic values ​​at all sampling moments are arranged in time series and then curve fitting is performed to determine the electromagnetic interference characteristic value curve; the aging accumulation amplitude is determined based on the change trend of the electromagnetic interference characteristic values ​​on the electromagnetic interference characteristic value curve; the sensitivity weight of each IMF component signal is determined based on the aging accumulation amplitude and the initial intercept of the electromagnetic interference characteristic value curve; wherein the aging accumulation amplitude and the initial intercept are both positively correlated with the sensitivity weight.

[0027] Furthermore, the process of obtaining the aging accumulation amplitude includes:

[0028] The average of the tangent slope values ​​at all sampling moments on the electromagnetic interference characteristic value curve is used as the aging accumulation amplitude.

[0029] Furthermore, the process of acquiring the electromagnetic interference signal includes:

[0030] In each IMF component signal, a positive correlation mapping is performed on the product of the electromagnetic interference characteristic value at each sampling moment and the sensitivity weight to determine the electromagnetic interference degree of each IMF component signal; the mean envelope function of each IMF component signal is weighted by the electromagnetic interference degree to determine the corresponding weighted envelope function;

[0031] In the process of obtaining each IMF component signal and residual signal by the empirical mode decomposition algorithm, the weighted envelope function of each IMF component signal replaces the original mean envelope function for empirical mode decomposition, and the final residual signal is used as the electromagnetic interference signal.

[0032] Furthermore, the process of obtaining the corrected analog signal includes:

[0033] The electromagnetic interference signal is subtracted from the analog signal to be processed to obtain a corrected analog signal.

[0034] This application has the following beneficial effects:

[0035] The present application analyzes the characteristic performance of the spectrum in the time period when arc flicker interference exists in the original signal, obtains the arc flicker frequency segment that is mainly affected when arc flicker exists and the arc flicker influence coefficient corresponding to the IMF component signal, and on the basis of the arc flicker influence coefficient, combines the baseline drift and signal fluctuation in the timing, and more accurately quantifies the influence of electromagnetic interference, that is, arc flicker interference, through the determined electromagnetic interference characteristic value. On this basis, the sensitivity weight that characterizes the influence caused by the cumulative aging of the anti-interference connector is determined according to the change of the electromagnetic interference characteristic value; further, the acquisition process of the IMF component signal is corrected one by one according to the sensitivity weight characterizing the interference component and the electromagnetic interference characteristic value, so that the obtained electromagnetic interference signal can more accurately characterize the influence of baseline drift; finally, the analog signal to be processed is corrected based on the electromagnetic interference signal, so that the obtained corrected analog signal is more accurate, thereby improving the accuracy of abnormal monitoring of automotive electronic systems based on the corrected analog signal. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0037] Figure 1 A schematic diagram of the hardware structure of an anti-interference connector for automotive electronic systems provided by one embodiment of the present invention;

[0038] Figure 2 A flow chart of a data processing process of an anti-interference connector for an automotive electronic system provided by one embodiment of the present invention;

[0039] exist Figure 1 Among them, 1-connection port; 2-integrated resistor; 3-shielding shell; 4-photoelectric receiver; 5-signal amplifier converter; 6-transmission line; 7-anti-interference device; 8-signal filter compensator. DETAILED DESCRIPTION

[0040] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the specific implementation method, structure, features and effects of an anti-interference connector for automotive electronic systems proposed in accordance with the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment, and the specific features, structures or characteristics in one or more embodiments may be combined in any suitable form. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as implying or suggesting relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of such features.

[0041] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0042] The specific solution of an anti-interference connector for an automotive electronic system provided by the present invention will be described in detail below with reference to the accompanying drawings.

[0043] The present application provides an anti-interference connector for automotive electronic systems. Figure 1, which shows a hardware structure diagram of an anti-interference connector for an automotive electronic system provided by an embodiment of the present invention, including: a connection port 1, an integrated resistor 2, a shielding shell 3, a photoelectric receiver 4, a signal amplifier converter 5, a transmission line 6, an anti-interference device 7 and a signal filter compensator 8.

[0044] Connector 1 is enclosed in a shielding shell 3, secured securely by a locking mechanism, forming a 360° shield. The shielding material undergoes electroplating and corrosion protection treatments for enhanced durability, protecting against direct signal interference from temperature, humidity, electromagnetic interference, and transient arcing. An integrated resistor 2 monitors the vehicle's electronic system for overheating and external temperature and humidity interference. A photoelectric receiver 4, located between the signal amplifier 5 and the shielding shell 3, detects transient arcing. Arcing is unavoidable in dry air, motor startup and shutdown, and excessive voltage. Arcing is a high-frequency electromagnetic interference source. The broadband electromagnetic waves it generates can affect peripheral devices through radiation or conduction through wires, potentially eroding connector contacts or insulation. Even with existing arc suppression or extinguishing designs to mitigate arcing hazards, transmission performance can still be compromised. For example, the electromagnetic radiation from the arc can interfere with signal processing in the ECU (electronic control unit). The shielding mesh on the transmission line 6 is electrically connected to the shielding shell 3 by crimping or welding, ensuring continuous coverage of the shielding layer and reducing radiation leakage. The signal sent by the automotive electronic system is received through the connection port 1 and then passes through the transmission line 6 to reach the anti-interference device 7. The anti-interference device 7 processes the received analog signal to be processed and the arc strobe moment of the automotive electronic system according to a predetermined data processing process to obtain a corrected analog signal; finally, the corrected analog signal is filtered and compensated by the signal filter compensator 8; wherein, for the predetermined data processing process, please refer to Figure 2 , which shows a data processing process flow chart of an anti-interference connector for an automotive electronic system provided by one embodiment of the present invention, including the following steps:

[0045] Step S201: Acquire an analog signal to be processed from an automotive electronic system during vehicle driving and all arc strobe moments at which arc strobe occurs; determine an arc strobe frequency segment based on the amplitude distribution corresponding to the frequency spectrum of a neighborhood signal segment at each arc strobe moment in the analog signal to be processed after time-frequency conversion.

[0046] In one specific implementation of the present invention, the moment when the photoelectric receiver 4 detects instantaneous arc strobe is used as the arc strobe moment, and the position of the arc strobe moment in the analog signal to be processed is determined. The interference caused by arc strobe typically manifests as a sharp increase in amplitude within a concentrated frequency range in the spectrum. Therefore, to determine the arc strobe frequency range, it is necessary to convert the frequency spectrum into a spectrum for analysis.

[0047] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the arc strobe frequency segment includes: performing a short-time Fourier transform on the local signal segment within a preset neighborhood time period of each arc strobe moment on the analog signal to be processed to obtain a corresponding spectrum signal; performing cluster analysis on the amplitudes of all frequencies in the spectrum signal to obtain at least two amplitude clusters; taking the amplitude cluster with the largest mean of all corresponding amplitudes as the arc strobe cluster; and determining the reference frequency interval based on the continuity of the frequency distribution in the arc strobe cluster. The process of obtaining the reference frequency interval includes: obtaining all continuous frequency intervals in the arc strobe cluster; the previous frequency and the next frequency of the continuous frequency interval do not belong to the arc strobe cluster, and all frequencies in the reference frequency interval are continuous and belong to the arc strobe cluster; and taking the continuous frequency interval with the largest number of frequencies as the reference frequency interval.

[0048] In a specific implementation of an embodiment of the present invention, the preset neighborhood time period is set to 200ms, the cluster analysis method adopts the K-means clustering algorithm, and the optimal k value is obtained by the elbow method, which can be adjusted according to the specific implementation environment. It should be noted that short-time Fourier transform, K-means clustering algorithm, and elbow method are technical means well known to those skilled in the art, and are not further defined or elaborated here. Since the interference caused by arc flicker is manifested in the spectrum as a sharp increase in amplitude within the frequency interval where the frequency is concentrated, the amplitude of the frequency corresponding to the arc flicker interference is usually large; therefore, after obtaining the amplitude cluster cluster through cluster analysis, the amplitude cluster cluster with the largest amplitude mean is taken as the arc flicker cluster cluster; on the basis of the arc flicker cluster cluster, combined with the characteristic that the interference caused by arc flicker is manifested as frequency concentration in the spectrum, the continuous frequency interval with the largest number of continuous amplitude distributions in the arc flicker cluster cluster is further used as the reference frequency interval for characterizing the arc flicker interference.

[0049] Since each arc strobe moment corresponds to a reference frequency interval, in order to more accurately determine the arc strobe frequency segment, the arc strobe frequency segment is comprehensively determined by further combining all the reference frequency intervals corresponding to each arc strobe moment. Specifically: the average of the maximum frequency values ​​of all reference frequency intervals corresponding to all arc strobe moments is used as the upper limit value of the arc strobe frequency segment; the average of the minimum frequency values ​​of all reference frequency intervals corresponding to all arc strobe moments is used as the lower limit value of the arc strobe frequency segment; the arc strobe frequency segment is determined based on the upper limit value and the lower limit value of the arc strobe frequency segment. That is, after determining the upper and lower limits of the arc strobe frequency segment by the mean method, the arc strobe frequency segment is determined using the upper limit value and the lower limit value of the arc strobe frequency segment as the frequency boundaries.

[0050] Step S202: Perform empirical mode decomposition on the analog signal to be processed to obtain at least two IMF component signals; determine the arc flicker influence coefficient at each sampling moment in each IMF component signal based on the overall frequency amplitude of the arc flicker frequency segment and the frequency overlap between the frequency amplitude and each IMF component signal.

[0051] For each arc flicker frequency segment, the larger the overall value of the amplitude of all frequencies, the greater the interference impact of the arc flicker. Therefore, when determining the arc flicker influence coefficient, it is necessary to analyze it in combination with the overall size of the frequency amplitude of the arc flicker frequency segment; in addition, each IMF component signal usually corresponds to a certain frequency range, so based on the overall size of the frequency amplitude of the arc flicker frequency segment, it is also necessary to analyze the frequency overlap between the arc flicker frequency segment and each IMF component signal. It should be noted that empirical mode decomposition is a technical means well known to those skilled in the art and will not be further elaborated here.

[0052] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the arc strobe influence coefficient includes:

[0053] The length of the overlapping frequency segment between the frequency segment corresponding to the frequency range of each IMF component signal and the arc strobe frequency segment is normalized to determine the arc strobe impact probability of each IMF component signal; the average amplitude of all frequencies in the arc strobe frequency segment is used as the arc strobe impact amplitude; in a specific implementation of an embodiment of the present invention, the method for normalizing the length of the overlapping frequency segment includes: taking the length of the frequency segment corresponding to the frequency range of each IMF component signal as a reference length; and taking the ratio between the length of the overlapping frequency segment and the corresponding reference length as the normalized value, that is, the corresponding arc strobe impact probability.

[0054] Based on the properties of the IMF component signal, each IMF component signal corresponds to a certain frequency range. Therefore, for each IMF component signal, the greater the overlap between its corresponding frequency range and the arc flicker frequency segment, that is, the greater the probability of arc flicker influence, the greater the degree of interference it receives. The overall amplitude value of the arc flicker frequency segment also represents the interference influence amplitude. Therefore, the greater the arc flicker influence amplitude, the greater the interference influence degree. Further, the arc flicker influence coefficient is determined comprehensively based on the arc flicker influence probability and the arc flicker influence amplitude, so that the greater the arc flicker influence coefficient, the greater the interference influence of the corresponding IMF component signal.

[0055] In a specific implementation of an embodiment of the present invention, in combination with the correlation, the product between the arc flicker impact amplitude and the arc flicker impact probability is positively mapped to determine the arc flicker impact coefficient at the sampling moment belonging to the arc flicker moment; the arc flicker impact coefficient at the sampling moment not belonging to the arc flicker moment is set to a preset impact coefficient. In a specific implementation of an embodiment of the present invention, the preset impact coefficient is set to 1, which can be adjusted according to the specific implementation environment. Among them, the positive correlation mapping method includes: adding the real number 1 to the product between the arc flicker impact amplitude and the arc flicker impact probability to determine the arc flicker impact coefficient; making the interference effect of the IMF component signal that does not overlap with the arc flicker frequency segment frequency also 1. Because arc flicker usually only significantly affects the signal data at the arc flicker moment, this application only performs correlation calculation and analysis on the flicker impact coefficient at the arc flicker moment.

[0056] Step S203: In each IMF component signal, the corresponding electromagnetic interference characteristic value is determined based on the arc flicker influence coefficient and the baseline drift and signal fluctuation within the timing neighborhood of each sampling moment; and the sensitivity weight of each IMF component signal during the vehicle driving process is determined based on the change of the corresponding electromagnetic interference characteristic value during the vehicle driving process.

[0057] The arc flicker influence coefficient characterizes the interference impact through the influence size and frequency distribution of the arc itself. For the IMF component signal itself, when there is instantaneous interference, it usually also shows certain instantaneous fluctuations and baseline drift. Therefore, each IMF component signal can be further analyzed to further characterize the interference situation.

[0058] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the electromagnetic interference characteristic value includes:

[0059] In each IMF component signal, all sampling moments within the preset neighborhood window of each sampling moment are taken as neighborhood window moments; the signal value ranges of all neighborhood window moments corresponding to each sampling moment are normalized to determine the local fluctuation amplitude of each sampling moment. In a specific implementation of an embodiment of the present invention, the method for normalizing the signal value ranges of all neighborhood window moments corresponding to each sampling moment adopts: the signal value ranges of all sampling moments in each IMF component signal are taken as reference ranges; the ratio between the signal value ranges of all neighborhood window moments corresponding to each sampling moment and the reference range is taken as the normalized value, i.e., the local fluctuation amplitude; the implementer may also adopt other normalization methods according to the specific implementation environment, which will not be further elaborated here. The range characterizes the fluctuation range of a set of data, so when the signal value range is larger, the fluctuation range of the signal value within the preset neighborhood window is larger, the corresponding local fluctuation amplitude is larger, the more consistent with the local fluctuation characteristics of the electromagnetic interference caused by arc flicker, and the greater the impact of electromagnetic interference. In a specific implementation of the embodiment of the present invention, the preset neighborhood window is set to a window of 200 ms centered at each sampling moment.

[0060] According to the overall deviation between the mean envelope and the baseline at all neighborhood window moments, the degree of local baseline drift at each sampling moment is determined; in a specific implementation of an embodiment of the present invention, the process of obtaining the degree of local baseline drift includes: taking the difference between the value of the mean envelope corresponding to each neighborhood window moment and the value of the baseline as the corresponding instantaneous drift degree; determining the degree of local baseline drift at each sampling moment according to the mean of the instantaneous drift degrees of all neighborhood window moments. First, for the IMF component signal, the greater the difference in the values ​​of the mean envelope and the baseline at a certain sampling moment, the more obvious the phenomenon of baseline drift is, and the greater the overall impact amplitude of the instantaneous interference of the corresponding IMF component signal; therefore, for each sampling moment, the greater the mean of the instantaneous drift degrees of all corresponding neighborhood window moments, the greater the corresponding degree of local baseline drift, and the greater the influence of the electromagnetic interference caused by the arc flicker on the signal value at the sampling moment. It should be noted that the difference represents the absolute value of the difference, which will not be further elaborated later.

[0061] The arc flicker influence coefficient, local fluctuation amplitude, and local baseline drift, all of which represent interference effects, are further combined to comprehensively determine an electromagnetic interference characteristic value that reflects the magnitude of the interference effect. In one specific implementation of this embodiment of the present invention, the product of the arc flicker influence coefficient, local fluctuation amplitude, and local baseline drift at each sampling moment is normalized to determine the corresponding electromagnetic interference characteristic value. This normalization method utilizes linear normalization, which can be adjusted based on the specific implementation environment.

[0062] In addition to external interference, the aging of the anti-interference connector itself must also be considered. Over extended use, the anti-interference connector will inevitably age, weakening its ability to suppress interference and increasing the impact of electromagnetic interference. The aging of the anti-interference connector manifests itself as an overall increase in the level of interference during vehicle operation. Accumulating aging leads to a certain degree of inherent interference, making the vehicle more sensitive to interference. Therefore, embodiments of the present invention characterize the aging of the anti-interference connector by calculating a sensitivity weight, thereby further characterizing the degree of electromagnetic interference.

[0063] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the sensitivity weight includes:

[0064] Under each IMF component signal, the electromagnetic interference characteristic values ​​at all sampling moments are arranged in time series and then curve fitting is performed to determine the electromagnetic interference characteristic value curve; the aging accumulation amplitude is determined based on the change trend of the electromagnetic interference characteristic values ​​on the electromagnetic interference characteristic value curve.

[0065] The aging accumulation amplitude is obtained by taking the average of the tangent slope values ​​at all sampling moments on the electromagnetic interference characteristic value curve as the aging accumulation amplitude. A larger average of the tangent slopes indicates an overall increasing trend in the electromagnetic interference characteristic value interference level during vehicle operation. Therefore, a larger aging accumulation amplitude indicates a more severe aging condition of the anti-interference connector and a greater impact from interference. The initial intercept represents the accumulated material fatigue of the anti-interference connector during historical aging. A larger initial intercept indicates a more severe aging accumulation, a greater degree of aging, and a greater impact from interference. Therefore, the sensitivity weight of each IMF component signal is further determined based on the aging accumulation amplitude and the initial intercept of the electromagnetic interference characteristic value curve. Both the aging accumulation amplitude and the initial intercept are positively correlated with the sensitivity weight. In one specific implementation of this embodiment of the present invention, the arithmetic square root of the sum of the square of the aging accumulation amplitude and the square of the initial intercept of the electromagnetic interference characteristic value curve is used as the sensitivity weight for each IMF component signal. Those skilled in the art may use other basic mathematical methods to implement this method, which will not be limited or elaborated upon herein.

[0066] Step S204: Correct the acquisition process of each IMF component signal one by one according to the sensitivity weight and the electromagnetic interference characteristic value to determine the electromagnetic interference signal; correct the analog signal to be processed according to the electromagnetic interference signal to determine the corrected analog signal; and perform abnormal monitoring of the automotive electronic system according to the corrected analog signal.

[0067] According to the empirical mode decomposition algorithm, when decomposing the analog signal to be processed, a mean envelope function is constructed based on the previous-level IMF component signal. The mean envelope function is then subtracted from the previous-level IMF component signal to obtain the next-level IMF component signal. When arc strobe interference is present at a certain sampling moment, the arc strobe interference component in the current component signal can be removed so that it eventually appears in the signal residual. Finally, the residual corresponding to the arc strobe interference is subtracted from the analog signal to be processed to remove the baseline drift caused by the arc strobe. Therefore, for each IMF component signal, the more severe the interference it is subjected to, the fewer components of the previous-level component signal should be retained when obtaining the next-level component signal, that is, the larger the coefficient of the mean envelope function should be.

[0068] Preferably, in some possible implementations of the embodiments of the present invention, the process of acquiring the electromagnetic interference signal includes:

[0069] In each IMF component signal, the product of the electromagnetic interference characteristic value and the sensitivity weight at each sampling moment is positively correlated and mapped to determine the electromagnetic interference degree of each IMF component signal; in a specific implementation of an embodiment of the present invention, the positive correlation mapping method herein adopts: the sum of the value obtained by linearly normalizing the product of the electromagnetic interference characteristic value and the sensitivity weight at each sampling moment and the real number 0.5 is used as the value after positive correlation mapping, that is, the electromagnetic interference degree, wherein the value of the real number can be adjusted according to the specific implementation environment and is not further elaborated here. Through positive correlation mapping, the value of the electromagnetic interference degree is uniformly distributed between 0.5 and 1.5, so that when the electromagnetic interference degree is large, the mean of the subsequent mean envelope function is larger, the component retained in the previous level component signal is smaller, and the suppression effect on baseline drift is better. The mean envelope function of each IMF component signal is further weighted by the degree of electromagnetic interference to determine a corresponding weighted envelope function. In a specific implementation of an embodiment of the present invention, the specific process of weighting the mean envelope function of each IMF component signal by the degree of electromagnetic interference includes: multiplying each function value on the mean envelope function of each IMF component signal by the degree of electromagnetic interference as the optimized function value of each function value; and replacing each function value in the mean envelope function with the corresponding optimized function value to obtain a weighted envelope function.

[0070] In the process of obtaining each IMF component signal and residual signal by the empirical mode decomposition algorithm, the weighted envelope function of each IMF component signal replaces the original mean envelope function for empirical mode decomposition, and the residual signal finally obtained is used as the electromagnetic interference signal. In a specific implementation method of an embodiment of the present invention, the analysis starts with the first IMF component signal, and after subtracting the corresponding weighted envelope function from the first IMF component signal, a second IMF component signal is obtained; the second IMF component signal is further calculated and analyzed to obtain the corresponding weighted envelope function, and the second IMF component signal is subtracted from the corresponding weighted envelope function to obtain a third IMF component signal; the subsequent analysis is continued in the same way until the final residual signal is obtained; the corresponding residual signal is the electromagnetic interference signal that characterizes the interference component. Therefore, in order to correct the analog signal to be processed, the electromagnetic interference signal that characterizes the interference component is subtracted from the analog signal to be processed to obtain an optimized and more accurately corrected analog signal.

[0071] After determining the corrected analog signal, the corrected analog signal is input into the signal filter compensator 8 for conventional filtering operations, and fault monitoring of the automotive electronic system is performed based on the filtered corrected analog signal. In a specific implementation of an embodiment of the present invention, the filtered corrected analog signal is input into a trained convolutional neural network to output whether there is a system fault. The method of performing fault monitoring of the automotive electronic system based on the filtered corrected analog signal can be adjusted according to the specific implementation environment, for example, by setting a fixed threshold for monitoring, which will not be further elaborated here.

[0072] In summary, the present application analyzes the characteristic performance of the spectrum in the time period when arc flicker interference exists in the original signal, obtains the arc flicker frequency segment that is mainly affected when arc flicker exists, and the arc flicker influence coefficient corresponding to the IMF component signal, and on the basis of the arc flicker influence coefficient, combines the baseline drift and signal fluctuation in the timing, and uses the determined electromagnetic interference characteristic value to more accurately quantify the influence of electromagnetic interference, that is, arc flicker interference, and on this basis, determines the sensitivity weight that characterizes the influence caused by the cumulative aging of the anti-interference connector according to the change of the electromagnetic interference characteristic value; further, according to the sensitivity weight characterizing the interference component and the electromagnetic interference characteristic value, the acquisition process of the IMF component signal is corrected one by one, so that the obtained electromagnetic interference signal can more accurately characterize the influence of baseline drift, and finally, based on the electromagnetic interference signal, the analog signal to be processed is corrected, so that the obtained corrected analog signal is more accurate, thereby improving the accuracy of abnormal monitoring of automotive electronic systems based on the corrected analog signal.

[0073] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0074] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. An anti-interference connector for automotive electronic systems, characterized in that: It includes a connection port, a photoelectric receiver and an anti-interference device; the connection port is used to receive the analog signal to be processed by the automotive electronic system; the photoelectric receiver is used to detect the arc strobe moment; the photoelectric receiver and the connection port are both connected to the anti-interference device; Acquire, using the anti-interference device, an analog signal to be processed from the automotive electronic system during vehicle driving and all arc strobe moments at which arc strobes occur; determine an arc strobe frequency segment based on an amplitude distribution corresponding to a frequency spectrum of a neighborhood signal segment at each arc strobe moment in the analog signal to be processed after time-frequency conversion; Performing empirical mode decomposition on the analog signal to be processed to obtain at least two IMF component signals; determining the arc stroboscopic influence coefficient at each sampling moment in each IMF component signal based on the overall frequency amplitude of the arc stroboscopic frequency segment and the frequency overlap between the frequency amplitude and each IMF component signal; In each IMF component signal, the corresponding electromagnetic interference characteristic value is determined based on the arc stroboscopic influence coefficient and the baseline drift and signal fluctuation within the time series neighborhood of each sampling moment; and the sensitivity weight of each IMF component signal during the vehicle driving process is determined based on the change of the corresponding electromagnetic interference characteristic value during the vehicle driving process; The acquisition process of each IMF component signal is corrected one by one according to the sensitivity weight and the electromagnetic interference characteristic value to determine the electromagnetic interference signal; the analog signal to be processed is corrected according to the electromagnetic interference signal to determine the corrected analog signal; and the abnormality monitoring of the automotive electronic system is performed according to the corrected analog signal.

2. The anti-interference connector for automotive electronic systems according to claim 1, characterized in that: The process of obtaining the arc stroboscopic frequency range includes: On the analog signal to be processed, a short-time Fourier transform is performed on a local signal segment within a preset neighborhood time period of each arc strobe moment to obtain a corresponding spectrum signal; the amplitudes of all frequencies in the spectrum signal are clustered to obtain at least two amplitude clusters; the amplitude cluster with the largest mean of all corresponding amplitudes is used as the arc strobe cluster; and a reference frequency interval is determined based on the continuity of the frequency distribution in the arc strobe cluster; The average of the maximum frequencies of all reference frequency intervals corresponding to all arc strobe moments is used as the upper limit of the arc strobe frequency segment; the average of the minimum frequencies of all reference frequency intervals corresponding to all arc strobe moments is used as the lower limit of the arc strobe frequency segment; The arc strobe frequency segment is determined according to the arc strobe frequency segment upper limit value and the arc strobe frequency segment lower limit value.

3. The anti-interference connector for automotive electronic systems according to claim 2, characterized in that: The process of obtaining the reference frequency interval includes: Acquire all continuous frequency intervals in the arc strobe cluster; the previous frequency and the next frequency of the continuous frequency interval do not belong to the arc strobe cluster, and all frequencies in the reference frequency interval are continuous and belong to the arc strobe cluster; and use the continuous frequency interval with the largest number of frequencies as the reference frequency interval.

4. The anti-interference connector for automotive electronic systems according to claim 1, characterized in that: The process of obtaining the arc stroboscopic influence coefficient includes: Normalizing the length of the frequency segment that overlaps the frequency segment corresponding to the frequency range of each IMF component signal and the arc strobe frequency segment to determine the arc strobe impact probability of each IMF component signal; and taking the average amplitude of all frequencies in the arc strobe frequency segment as the arc strobe impact amplitude; A positive correlation mapping is performed on the product of the arc strobe influence amplitude and the arc strobe influence probability to determine the arc strobe influence coefficient at the sampling moment belonging to the arc strobe moment; and the arc strobe influence coefficient at the sampling moment not belonging to the arc strobe moment is set to a preset influence coefficient.

5. The anti-interference connector for automotive electronic systems according to claim 1, characterized in that: The process of obtaining the electromagnetic interference characteristic value includes: In each IMF component signal, all sampling moments within the preset neighborhood window of each sampling moment are taken as neighborhood window moments; the signal value ranges of all neighborhood window moments corresponding to each sampling moment are normalized to determine the local fluctuation amplitude of each sampling moment; The degree of local baseline drift at each sampling moment is determined based on the overall deviation between the mean envelope and the baseline at all neighborhood window moments; The product of the arc flicker influence coefficient, the local fluctuation amplitude and the local baseline drift degree at each sampling moment is normalized to determine the corresponding electromagnetic interference characteristic value.

6. The anti-interference connector for automotive electronic systems according to claim 5, characterized in that: The process of obtaining the local baseline drift degree includes: The difference between the value of the mean envelope corresponding to each neighborhood window moment and the value of the baseline is taken as the corresponding instantaneous drift degree; the local baseline drift degree at each sampling moment is determined based on the mean value of the instantaneous drift degrees of all neighborhood window moments.

7. The anti-interference connector for automotive electronic systems according to claim 1, characterized in that: The process of obtaining the sensitivity weight includes: Under each IMF component signal, the electromagnetic interference characteristic values ​​at all sampling moments are arranged in time series and then curve fitting is performed to determine the electromagnetic interference characteristic value curve; the aging accumulation amplitude is determined based on the change trend of the electromagnetic interference characteristic values ​​on the electromagnetic interference characteristic value curve; the sensitivity weight of each IMF component signal is determined based on the aging accumulation amplitude and the initial intercept of the electromagnetic interference characteristic value curve; wherein the aging accumulation amplitude and the initial intercept are both positively correlated with the sensitivity weight.

8. The anti-interference connector for automotive electronic systems according to claim 7, characterized in that: The process of obtaining the aging accumulation amplitude includes: The average of the tangent slope values ​​at all sampling moments on the electromagnetic interference characteristic value curve is used as the aging accumulation amplitude.

9. The anti-interference connector for automotive electronic systems according to claim 1, characterized in that: The process of acquiring the electromagnetic interference signal includes: In each IMF component signal, a positive correlation mapping is performed on the product of the electromagnetic interference characteristic value at each sampling moment and the sensitivity weight to determine the electromagnetic interference degree of each IMF component signal; the mean envelope function of each IMF component signal is weighted by the electromagnetic interference degree to determine the corresponding weighted envelope function; In the process of obtaining each IMF component signal and residual signal by the empirical mode decomposition algorithm, the weighted envelope function of each IMF component signal replaces the original mean envelope function for empirical mode decomposition, and the final residual signal is used as the electromagnetic interference signal.

10. The anti-interference connector for automotive electronic systems according to claim 1, characterized in that: The acquisition process of the modified analog signal includes: The electromagnetic interference signal is subtracted from the analog signal to be processed to obtain a corrected analog signal.

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