Broadband current detection and calibration method and system for AC / DC charging equipment

Abstract

The invention relates to the technical field of electric digital data processing, in particular to a broadband current detection and calibration method and system for alternating current and direct current charging equipment. Comprising the following steps: detecting broadband current, and collecting output current of charging equipment; converting the output current into a digital signal, extracting basic characteristics in the digital signal, and analyzing the digital signal to find out depth characteristics; analyzing the digital signal to obtain a kurtosis value and a nonlinear index of the digital signal; classifying the depth features to obtain classification vectors, and classifying the depth features; based on the depth features of different classifications, performing bias processing on the depth features; generating a calibration instruction according to the processed result, and executing the calibration instruction; and current information before and after calibration is fed back. The method has the advantages that the basic features and the depth features in the current information are obtained, the basic features are processed to obtain the calibration data, the low-precision calibration requirement can be met, the calibration requirement is subjected to bias processing through the depth features, and therefore the high-precision calibration requirement is met.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical digital data processing, and in particular to a broadband current detection and calibration method and system for AC and DC charging equipment. Background Art

[0002] As a key infrastructure, the performance and reliability of charging equipment directly affect the charging efficiency and battery life of the charged devices. Some charged devices have high requirements for the accuracy of the charging current. Accurate monitoring and calibration of the output current have become the core requirements to ensure the performance of charging equipment. Therefore, a system that can detect and calibrate the charging process is needed to meet such requirements.

[0003] Many charging calibration systems have been developed. These systems generally include cloud servers, positioning modules, charging pile management modules, and charging pile calibration modules. After receiving user order information, the user is located via Bluetooth, and the charging pile used by the user is matched according to the location information. The cloud server sends management information to the management module and monitors the voltage and current status during charging in real time. However, this system can only meet the calibration requirements of ordinary requirements, and cannot perform high-precision calibration processing, and is not suitable for high-requirement equipment. Summary of the invention

[0004] In view of the above existing technical problems, the present invention is proposed.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a broadband current detection and calibration method for AC / DC charging equipment, which includes S1, detecting broadband current and collecting output current of the charging equipment;

[0006] S2. Convert the output current into a digital signal

[0007] S3, extracting basic features from the digital signal, and analyzing the digital signal to find out deep features;

[0008] S6, analyzing the digital signal to obtain its kurtosis value and nonlinear index;

[0009] S5, classify the deep features to obtain a classification vector, and classify the deep features;

[0010] S6. Based on the deep features of different classifications, the deep features are processed biasedly;

[0011] S7, generating a calibration instruction according to the processed result, and executing the calibration instruction;

[0012] S8, feedback the current information before and after calibration.

[0013] As a preferred solution of the broadband current detection calibration method of the AC / DC charging device of the present invention, the basic characteristics are the effective value of the current, the current frequency and the harmonic distortion.

[0014] As a preferred solution of the broadband current detection calibration method of the AC / DC charging device of the present invention, wherein: the effective value deviation ΔI R Calculated according to the following formula:

[0015] ΔI R =I R,C -I R，0

[0016] Among them, I R,C is the effective value of current, I R,0 is the effective standard value;

[0017] The frequency deviation value Δf is calculated according to the following formula:

[0018] Δf=f C -f0

[0019] Among them, f c represents the current frequency, f0 represents the standard frequency;

[0020] The distortion deviation value ΔTHD is calculated as follows:

[0021] ΔTHD=THD C -THD0

[0022] Among them, THD C It represents harmonic distortion and THD0 represents standard distortion.

[0023] As a preferred solution of the broadband current detection calibration method of the AC / DC charging device of the present invention, the step of analyzing the digital signal to find the depth feature includes the following steps:

[0024] S1. Calculate the kurtosis value Ks of the digital signal according to the following formula:

[0025]

[0026] Wherein, N is the number of digital signal sampling points, x(i) represents the value of the i-th digital signal sampling point, and μ is the mean value of the digital signal;

[0027] S2. Calculate the nonlinear index NL of the digital signal according to the following formula:

[0028]

[0029] Among them, I i represents the amplitude of the i-th frequency component, FL is the set of nonlinear frequency bands, and m is the maximum frequency.

[0030] As a preferred solution of the broadband current detection calibration method of the AC / DC charging device of the present invention, the classification vector (x, y) is obtained by classifying the deep features according to the following formula:

[0031]

[0032] Among them, a1 and a2 are the two dividing points of the kurtosis value, and b1 and b2 are the two dividing points of the nonlinear index.

[0033] As a preferred solution of the broadband current detection calibration method of the AC / DC charging device of the present invention, the bias coefficient η is calculated according to the following formula:

[0034] η=(1+s) x +(1+s) y -1-s

[0035] Among them, s is the basic offset;

[0036] The calibration data is biased according to the following formula:

[0037] V=V′·(1+η)

[0038] Wherein, V′ represents the calibration data before bias, and V represents the calibration data after bias.

[0039] Another object of the present invention is to provide a broadband current detection and calibration system for AC and DC charging equipment, comprising a current detection module, a signal processing module and a calibration control module;

[0040] The current detection module detects the output current of the charging device, and the signal processing module processes the detected signal to obtain processable characteristic information, and finally the calibration control module performs a calibration operation on the output current;

[0041] The current detection module includes a sensing detection unit, a filtering processing unit and a signal amplification unit, the signal processing module includes an analog-to-digital conversion unit, a feature extraction unit and a data storage unit, and the calibration control module includes an error analysis unit, a calibration instruction generation unit and an execution control unit;

[0042] The feature extraction unit includes a basic extraction processor, a depth extraction processor and a feature classification processor. The basic extraction processor is used to extract basic features from digital signals, the depth extraction processor is used to analyze digital signals to obtain depth features, and the feature classification processor is used to classify the depth features.

[0043] As a preferred solution of the wide-band current detection calibration system of the AC / DC charging equipment of the present invention, the calibration instruction generation unit includes a basic calibration processor, a feature bias processor and an instruction generation processor. The basic calibration processor generates calibration data based on deviation information, the feature bias processor performs bias processing on the calibration data based on a classification vector, and the instruction generation processor generates corresponding calibration instructions based on the calibration data.

[0044] As a preferred solution of the broadband current detection and calibration system for AC and DC charging devices of the present invention, the system further includes a display monitoring module, and the display monitoring module is used to display charging information.

[0045] As a preferred solution of the broadband current detection and calibration system of the AC / DC charging device of the present invention, wherein: the display monitoring module includes an information display unit, an interactive processing unit and an alarm prompt unit;

[0046] The information display unit is used to display current information, the interaction processing unit is used to detect and receive interaction information, and the alarm prompt unit is used to issue a prompt warning when a calibration error occurs.

[0047] The beneficial effects of the broadband current detection calibration method and system for AC / DC charging equipment of the present invention are as follows: by acquiring the basic features and deep features in the current information, calibration data is obtained by processing the basic features, so as to achieve low-precision calibration requirements, and then the calibration requirements are biased by deep features to achieve high-precision calibration requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0049] Figure 1 It is an overall schematic diagram of the broadband current detection and calibration system of the AC / DC charging device in the present invention.

[0050] Figure 2 Schematic diagram of the current detection module in the present invention.

[0051] Figure 3 It is a schematic diagram of the signal processing module in the present invention.

[0052] Figure 4 It is a schematic diagram of the calibration control module in the present invention.

[0053] Figure 5 It is a schematic diagram of the display monitoring module in the present invention.

[0054] Figure 6 This is a comparison chart of the actual test calibration effect in the present invention. DETAILED DESCRIPTION

[0055] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0056] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0057] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0058] Example 1, reference Figure 1 , which is the first embodiment of the present invention, and provides a broadband current detection and calibration method for an AC / DC charging device, including S1, detecting broadband current and collecting output current of the charging device;

[0059] S2, convert the output current into a digital signal

[0060] S3, extract basic features from digital signals, analyze digital signals to find deep features;

[0061] S6, analyzing the digital signal to obtain its kurtosis value and nonlinear index;

[0062] S5, classify the deep features to obtain a classification vector, and classify the deep features;

[0063] S6. Based on the deep features of different classifications, the deep features are processed biasedly;

[0064] S7, generating a calibration instruction according to the processed result, and executing the calibration instruction;

[0065] S8, feedback the current information before and after calibration.

[0066] Preferably, the system collects the output current of the charging device through the current detection module, including AC and DC current. The filter processing unit is used to filter the AC current to reduce noise and interference. The signal amplification unit performs signal amplification processing on the output AC current to improve the signal-to-noise ratio of the signal.

[0067] Furthermore, the signal processing module converts the collected analog signal into a digital signal. The feature extraction unit extracts basic features and deep features from the digital signal, including the effective value, frequency, harmonic distortion, kurtosis value and nonlinear index of the current.

[0068] Preferably, the deep extraction processor performs an in-depth analysis of the digital signal to calculate kurtosis values ​​and nonlinearity indices, which are parameters that help identify the complex characteristics of the signal.

[0069] Preferably, the feature classification processor classifies the deep features according to the cutoff point of the kurtosis value and the nonlinear index to obtain a classification vector.

[0070] The calibration instruction generation unit generates calibration data based on the deviation information, and performs bias processing on the calibration data in combination with the classification vector to adapt to different calibration requirements.

[0071] The characteristic bias processor calculates the bias coefficient and performs bias processing on the calibration data to compensate for the systematic error and improve the calibration accuracy.

[0072] The execution control unit adjusts the output current according to the calibration instruction to reduce the deviation and improve the output current accuracy of the charging device.

[0073] The display monitoring module shows the current information before and after calibration, provides interactive processing and alarm prompts, and ensures the transparency and security of the calibration process.

[0074] Embodiment 2 is the second embodiment of the present invention, and this embodiment further provides a wide-band current detection and calibration method for an AC / DC charging device.

[0075] The basic characteristics are the current effective value, current frequency and harmonic distortion.

[0076] Effective value deviation ΔI R Calculated according to the following formula:

[0077] ΔI R =I R,C -I R，0

[0078] Among them, I R,C is the effective value of current, I R,0 is the effective standard value;

[0079] Preferably, the effective value is a measure of the ability of AC to generate heat in a resistive load and is an important indicator of the size of AC. In charging equipment, accurate measurement of the effective value is essential to ensure charging efficiency and safety. By calculating the effective value, the actual size of the current can be determined and compared with the standard value for necessary calibration. The current frequency determines the periodicity of the AC and is very important for the synchronization and stability of the charging equipment. Harmonic distortion reflects the purity of the current waveform, and high harmonic distortion may indicate a problem with the equipment. By measuring these parameters, it can be ensured that the current meets the technical specifications, thereby improving charging efficiency and equipment life.

[0080] The frequency deviation value Δf is calculated according to the following formula:

[0081] Δf=f C -f0

[0082] Among them, f c represents the current frequency, f0 represents the standard frequency;

[0083] The frequency deviation value indicates the difference between the actual frequency and the preset standard frequency. This is very important for calibrating the system to adjust the frequency to the standard value to ensure that the charging equipment works as expected and avoid reduced charging efficiency or equipment damage caused by frequency deviation.

[0084] The distortion deviation value ΔTHD is calculated as follows:

[0085] ΔTHD=THD C -THD0

[0086] Among them, THD C It represents harmonic distortion and THD0 represents standard distortion.

[0087] The frequency of the current determines the periodicity of the alternating current and is very important for the synchronization and stability of the charging equipment. Harmonic distortion reflects the purity of the current waveform, and high harmonic distortion may indicate a problem with the equipment. By measuring these parameters, it is possible to ensure that the current meets technical specifications, thereby improving charging efficiency and equipment life.

[0088] Analyzing digital signals to find deep features includes the following steps:

[0089] S1. Calculate the kurtosis value Ks of the digital signal according to the following formula:

[0090]

[0091] Wherein, N is the number of digital signal sampling points, x(i) represents the value of the i-th digital signal sampling point, and μ is the mean value of the digital signal;

[0092] The kurtosis value is a statistical parameter that measures the sharpness of a signal waveform and is used to detect abnormal peaks or extreme values ​​in a signal. In charging equipment, the kurtosis value helps to identify and correct abnormal behavior in the signal and improve the accuracy of signal processing.

[0093] S2. Calculate the nonlinear index NL of the digital signal according to the following formula:

[0094]

[0095] Among them, I i represents the amplitude of the i-th frequency component, FL is the set of nonlinear frequency bands, and m is the maximum frequency.

[0096] The nonlinear index reflects the nonlinear characteristics of the signal, which is very important for analyzing and correcting nonlinear distortion in the signal. In charging devices, nonlinear distortion may lead to reduced charging efficiency and device damage, so calculating the nonlinear index is crucial to maintaining signal integrity.

[0097] Kurtosis value and nonlinear index are two deep features in digital signals. The classification vector is determined based on the value range of these two deep features, and then the bias coefficient is determined based on the classification vector. The bias coefficient is used to adjust the generated current. In contrast to the deep features are three basic features, including current effective value, current frequency and harmonic distortion. Basic features are used for coarse adjustment, and deep features are used for fine adjustment.

[0098] The classification vector (x, y) is obtained by classifying the deep features according to the following formula:

[0099]

[0100] Among them, a1 and a2 are the two dividing points of the kurtosis value, and b1 and b2 are the two dividing points of the nonlinear index.

[0101] The classification vector is used to classify signal features based on the kurtosis value and nonlinear index. This helps the system adopt different calibration strategies according to different feature categories and achieve more refined calibration control.

[0102] The bias coefficient η is calculated according to the following formula:

[0103] η=(1+s) x +(1+s) y -1-s

[0104] Among them, s is the basic offset;

[0105] The bias coefficient is used to adjust the calibration data to compensate for system errors and environmental changes. By calculating the bias coefficient, the system can dynamically adjust the calibration instructions to improve the accuracy and adaptability of the calibration.

[0106] The calibration data is biased according to the following formula:

[0107] V=V′·(1+η)

[0108] Wherein, V′ represents the calibration data before bias, and V represents the calibration data after bias.

[0109] The calibration data V' before bias is the original calibration data without compensation, while the calibration data V after bias is the data after bias processing. By comparing the two, the effect of bias processing can be evaluated and the accuracy of the calibration results can be ensured. This is crucial to achieve high-precision current output and meet the performance requirements of charging equipment.

[0110] In summary, the output current is adjusted through the final calibration data V.

[0111] Example 3, reference Figure 1 to Figure 6 , which is the third embodiment of the present invention, provides a system for a wide-band current detection and calibration method using an AC / DC charging device. It includes a current detection module, a signal processing module and a calibration control module;

[0112] The current detection module detects the output current of the charging device, and the signal processing module processes the detected signal to obtain processable characteristic information, and finally the calibration control module calibrates the output current;

[0113] Reference Figure 1 The current detection module is used to detect the output current of the charging device, the signal processing module is used to process the detection signal to obtain characteristic information, the calibration control module calibrates the output current based on the characteristic information, and the display monitoring module is used to display the charging information.

[0114] The current detection module includes a sensor detection unit, a filtering processing unit and a signal amplification unit. The sensor detection unit is used to collect the output current and determine the current properties. The filtering processing unit is used to filter the output AC current. The signal amplification unit is used to amplify the signal of the output AC current.

[0115] The signal processing module includes an analog-to-digital conversion unit, a feature extraction unit and a data storage unit. The analog-to-digital conversion unit is used to convert the collected AC analog signal into a digital signal. The feature extraction unit is used to extract feature information from the digital signal. The data storage unit is used to store feature information, calibration operations and calibration result data in the calibration case.

[0116] The calibration control module includes an error analysis unit, a calibration instruction generation unit and an execution control unit. The error analysis unit is used to calculate the error between the characteristic information and the preset standard. The calibration instruction generation unit generates a calibration instruction based on the error result. The execution control unit is used to execute the calibration instruction to adjust the output current.

[0117] Preferably, the system also includes a display monitoring module, and the display monitoring module is used to display charging information.

[0118] The display monitoring module includes an information display unit, an interaction processing unit and an alarm prompt unit. The information display unit is used to display current information, the interaction processing unit is used to detect and receive interaction information, and the alarm prompt unit is used to give a prompt warning when a calibration error occurs.

[0119] Reference Figure 2 The sensing detection unit includes a signal detection processor, an attribute judgment processor and a transmission control processor. The signal detection processor is used to collect the output current signal of the charging device. The attribute judgment processor is used to judge whether the collected signal belongs to AC or DC. The transmission control processor transmits the collected signal to different units based on the signal attributes.

[0120] The transmission control processor transmits the direct current signal to the error analysis unit and transmits the alternating current signal to the filtering processing unit.

[0121] The filtering processing unit includes a low-pass filtering processor, a high-pass filtering processor and a band-stop filtering processor. The low-pass filtering processor is used to retain low-frequency signals, the high-pass filtering processor is used to retain high-frequency signals, and the band-stop filtering processor is used to filter specific interference frequency signals.

[0122] The signal amplification unit includes a differential amplifier processor, a variable gain amplifier processor and a circuit protection processor. The differential amplifier processor is used to extract the effective part of the signal, the variable gain amplifier processor is used to dynamically adjust the gain of the effective signal, and the circuit protection processor is used to protect the amplifier circuit.

[0123] Reference Figure 3 The signal processing module includes an analog-to-digital conversion unit, a feature extraction unit and a data storage unit. The analog-to-digital conversion unit is used to convert the collected AC analog signal into a digital signal. The feature extraction unit is used to extract feature information from the digital signal. The data storage unit is used to store feature information, calibration operations and calibration result data in the calibration case.

[0124] The analog-to-digital conversion unit includes a signal sampling processor, a signal quantization processor and a signal encoding processor. The signal sampling processor is used to perform high-frequency sampling on the analog signal, the signal quantization processor is used to convert the sampled signal into a discrete digital level, and the signal encoding processor is used to perform binary encoding on the quantized signal to obtain a digital signal.

[0125] The feature extraction unit includes a basic extraction processor, a deep extraction processor and a feature classification processor. The basic extraction processor is used to extract basic features from digital signals, the deep extraction processor is used to analyze digital signals to obtain deep features, and the feature classification processor is used to classify the deep features.

[0126] Preferably, the basic features extracted by the basic extraction processor are current effective value, current frequency and harmonic distortion.

[0127] Effective value deviation ΔI R Calculated according to the following formula:

[0128] ΔI R =I R,C -I R，0

[0129] Among them, I R,C is the effective value of current, I R,0 is a valid standard value.

[0130] Furthermore, the process of analyzing the digital signal by the deep extraction processor includes the following steps:

[0131] S1. Calculate the kurtosis value Ks of the digital signal according to the following formula:

[0132]

[0133] Wherein, N is the number of digital signal sampling points, x(i) represents the value of the i-th digital signal sampling point, and μ is the mean value of the digital signal;

[0134] S2. Calculate the nonlinear index NL of the digital signal according to the following formula:

[0135]

[0136] Among them, I i represents the amplitude of the i-th frequency component, FL is the set of nonlinear frequency bands, and m is the maximum frequency.

[0137] Preferably, the feature classification processor classifies the deep features according to the following formula to obtain a classification vector (x, y):

[0138]

[0139] Among them, a1 and a2 are the two dividing points of the kurtosis value, and b1 and b2 are the two dividing points of the nonlinear index.

[0140] The data storage unit includes a case management processor and a data information register. The case management processor is used to manage basic information of the case, and the data information register is used to store calibration related information of each case.

[0141] Reference Figure 4 The error analysis unit includes an effective value error calculation processor, a frequency error calculation processor and a harmonic error calculation processor. The effective value error calculation processor is used to calculate the deviation value of the effective value of the current, the frequency error calculation processor is used to calculate the frequency error of the alternating current, and the harmonic error calculation processor is used to calculate the harmonic error of the alternating current.

[0142] The calibration instruction generation unit includes a basic calibration processor, a feature bias processor and an instruction generation processor. The basic calibration processor generates calibration data based on deviation information, the feature bias processor performs bias processing on the calibration data based on a classification vector, and the instruction generation processor generates corresponding calibration instructions based on the calibration data.

[0143] Preferably, the feature bias processor calculates the bias coefficient η according to the following formula:

[0144] η=(1+s) x +(1+s) y -1-s

[0145] Among them, s is the basic offset;

[0146] Furthermore, the feature offset processor also performs offset processing on the calibration data according to the following formula:

[0147] V=V′·(1+η)

[0148] Wherein, V′ represents the calibration data before bias, and V represents the calibration data after bias.

[0149] The execution control unit includes an instruction receiving management processor and a current adjustment processor. The instruction receiving management processor is used to receive and manage calibration instructions, and the current adjustment processor adjusts the output current based on the calibration instructions.

[0150] Reference Figure 5 The information display unit includes a pre-calibration display processor, a post-calibration display processor and a standard display processor. The pre-calibration display processor is used to display the current signal before calibration, the post-calibration display processor is used to display the calibrated current signal, and the standard display processor is used to display the standard current signal.

[0151] The interactive processing unit includes a standard input processor, a precision input processor and a receiving verification processor. The standard input processor is used to input standard current information, the precision input processor is used to input information on current precision requirements, and the receiving verification processor is used to verify the format of the input information.

[0152] The alarm prompt unit includes an accuracy judgment processor, a prompt processor and an interrupt processor. The accuracy judgment processor is used to judge whether the calibrated current meets the accuracy requirements. The prompt processor is used to issue an alarm prompt after the output current does not meet the accuracy requirements. The interrupt processor is used to interrupt the current output when an alarm is issued.

[0153] Reference Figure 6 , now 10 standard currents are input into the system, and the effective value deviations before and after calibration are tested respectively. The blue bar graph represents the effective value deviation before calibration, and the orange bar graph represents the effective value deviation after calibration; it can be seen from the figure that the deviation value before calibration (blue) is larger than the deviation value after calibration (orange) at most test points, which indicates that the calibration process effectively reduces the deviation. The effectiveness of the calibration system of the present invention is intuitively demonstrated, and by comparing the deviation values ​​before and after calibration, the high accuracy and reliability of the system in calibrating AC and DC charging equipment are proved.

[0154] Some code information of this system is as follows:

[0155]

[0156] #Signal processing module

[0157] class SignalProcessingModule:

[0158] def __init__(self):

[0159] self.data_storage = []

[0160] def convert_to_digital(self,analog_signal):

[0161] #Simulate analog-to-digital conversion (return directly as a digital signal)

[0162] return analog_signal

[0163] def extract_features(self,digital_signal):

[0164] # Extract feature values

[0165] rms=np.sqrt(np.mean(digital_signal**2))

[0166] fft_spectrum=np.fft.fft(digital_signal)

[0167] return{"rms":rms,"fft":fft_spectrum}

[0168] def store_data(self,features):

[0169] #Store feature data

[0170] self.data_storage.append(features)

[0171] #Calibrate the control module

[0172] classCalibrationControlModule:

[0173] def __init__(self):

[0174] self.standard_rms = 50.0 # Assume standard effective value

[0175] self.gain = 1.0

[0176] def analyze_error(self,measured_rms):

[0177] # Calculate error

[0178] error=measured_rms-self.standard_rms

[0179] return error

[0180] def generate_calibration_command(self,error):

[0181] #Generate calibration instructions

[0182] adjustment=-error*0.1#calibration step ratio

[0183] return adjustment

[0184] def execute_calibration(self,adjustment):

[0185] #Perform calibration

[0186] self.gain+=adjustment

[0187] print(f"Calibration executed.New gain:{self.gain}")

[0188] def display_info(self,features,error):

[0189] #Display information

[0190] print(f"Current RMS:{features['rms']:.2f}")

[0191] print(f"Error:{error:.2f}").

[0192] Importantly, it should be noted that the construction and arrangement of the present application shown in a plurality of different exemplary embodiments are only exemplary. Although only a few embodiments are described in detail in this disclosure, it should be readily understood by those who refer to this disclosure that many modifications are possible (e.g., the size, scale, structure, shape and proportion of various elements, and parameter values ​​(e.g., temperature, pressure, etc.), installation arrangement, use of materials, color, directional changes, etc.) without substantially departing from the novel teachings and advantages of the subject matter described in the application. For example, the element shown as integrally formed can be composed of multiple parts or elements, the position of the element can be inverted or otherwise changed, and the nature or number or position of the discrete element can be changed or changed. Therefore, all such modifications are intended to be included in the scope of the present invention. The order or sequence of any process or method steps can be changed or reordered according to alternative embodiments. In the claims, any "device plus function" clause is intended to cover the structure of performing the function described herein, and is not only structurally equivalent but also equivalent structure. Without departing from the scope of the present invention, other replacements, modifications, changes and omissions can be made in the design, operating conditions and arrangement of the exemplary embodiments. Therefore, the invention is not limited to a specific embodiment, but extends to numerous modifications still falling within the scope of the appended claims.

[0193] Additionally, in order to provide a concise description of exemplary embodiments, all features of an actual embodiment may not be described (ie, those features that are not relevant to the best mode presently contemplated for carrying out the invention or those that are not relevant to implementing the invention).

[0194] It will be appreciated that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but will be a routine task of design, fabrication, and production for those of ordinary skill having the benefit of this disclosure without undue experimentation.

[0195] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A broadband current detection and calibration method for AC / DC charging equipment, characterized in that: S1, detect broadband current and collect output current of charging equipment; S2. Convert the output current into a digital signal S3, extracting basic features from the digital signal, and analyzing the digital signal to find out deep features; S6, analyzing the digital signal to obtain its kurtosis value and nonlinear index; S5, classify the deep features to obtain a classification vector, and classify the deep features; S6. Based on the deep features of different classifications, the deep features are processed biasedly; S7, generating a calibration instruction according to the processed result, and executing the calibration instruction; S8, feedback the current information before and after calibration.

2. The broadband current detection and calibration method for AC / DC charging equipment according to claim 1, characterized in that: The basic characteristics are current effective value, current frequency and harmonic distortion. The effective value deviation ΔI R Calculated according to the following formula: ΔI R =I R,C -I R，0 Among them, I R,C is the effective value of current, I R,0 is the effective standard value; The frequency deviation value Δf is calculated according to the following formula: Δf=f C -f0 Among them, f c represents the current frequency, f0 represents the standard frequency; The distortion deviation value ΔTHD is calculated as follows: ΔTHD=THD C -THD0 Among them, THD C It represents harmonic distortion and THD0 represents standard distortion.

3. The broadband current detection and calibration method for AC / DC charging equipment according to claim 2, characterized in that: The step of analyzing the digital signal to find the depth feature comprises the following steps: S1. Calculate the kurtosis value Ks of the digital signal according to the following formula: Wherein, N is the number of digital signal sampling points, x(i) represents the value of the i-th digital signal sampling point, and μ is the mean value of the digital signal; S2. Calculate the nonlinear index NL of the digital signal according to the following formula: Among them, I i represents the amplitude of the i-th frequency component, FL is the set of nonlinear frequency bands, and m is the maximum frequency.

4. The broadband current detection and calibration method for AC / DC charging equipment according to claim 3, characterized in that: The classification vector (x, y) is obtained by classifying the deep features according to the following formula: Among them, a1 and a2 are the two dividing points of the kurtosis value, and b1 and b2 are the two dividing points of the nonlinear index.

5. The broadband current detection and calibration method for AC / DC charging equipment according to claim 4, characterized in that: The bias coefficient η is calculated according to the following formula: n=(1+s) x +(1+s) y -1-s Among them, s is the basic offset; The calibration data is biased according to the following formula: V=V′·(1+η) Wherein, V′ represents the calibration data before bias, and V represents the calibration data after bias.

6. A system using the broadband current detection and calibration method of an AC / DC charging device as claimed in any one of claims 1 to 5, characterized in that: It includes a current detection module, a signal processing module and a calibration control module; The current detection module detects the output current of the charging device, and the signal processing module processes the detected signal to obtain processable characteristic information, and finally the calibration control module performs a calibration operation on the output current; The current detection module includes a sensing detection unit, a filtering processing unit and a signal amplification unit; the signal processing module includes an analog-to-digital conversion unit, a feature extraction unit and a data storage unit; and the calibration control module includes an error analysis unit, a calibration instruction generation unit and an execution control unit.

7. The wideband current detection and calibration system for AC / DC charging equipment according to claim 6, characterized in that: The feature extraction unit includes a basic extraction processor, a depth extraction processor and a feature classification processor. The basic extraction processor is used to extract basic features from digital signals, the depth extraction processor is used to analyze digital signals to obtain depth features, and the feature classification processor is used to classify the depth features.

8. The wideband current detection and calibration system for AC / DC charging equipment according to claim 7, characterized in that: The calibration instruction generation unit includes a basic calibration processor, a feature bias processor and an instruction generation processor. The basic calibration processor generates calibration data based on deviation information, the feature bias processor performs bias processing on the calibration data based on a classification vector, and the instruction generation processor generates corresponding calibration instructions based on the calibration data.

9. The wideband current detection and calibration system for AC / DC charging equipment according to claim 8, characterized in that: The system also includes a display monitoring module, and the display monitoring module is used to display charging information.

10. The wideband current detection and calibration system for AC / DC charging equipment according to claim 9, characterized in that: The display monitoring module includes an information display unit, an interaction processing unit and an alarm prompt unit; The information display unit is used to display current information, the interaction processing unit is used to detect and receive interaction information, and the alarm prompt unit is used to issue a prompt warning when a calibration error occurs.

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