A method for monitoring the operating status of a new energy vehicle charging pile transformer

Abstract

The present application relates to the technical field of new energy charging piles, and specifically to a method for monitoring the operating status of a new energy vehicle charging pile transformer, the method comprising: performing detrending fluctuation analysis on current data and voltage data in each time period to determine the local change trend of each time period; performing mutation point detection on voltage data in each time period to extract mutation voltage, and determining the local discharge intensity of each time period by the difference between the average level of all mutation voltages in each time period and the average level of all voltage data, combined with the local change trend of each time period; determining the efficiency loss of each time period based on the first-order difference of the power factor of each time period; obtaining the imbalance degree of the operating status of the charging pile transformer in each time period in combination with the local discharge intensity and efficiency loss of each time period, and monitoring the operating status of the new energy vehicle charging pile transformer. The present application can improve the accuracy of monitoring the operating status of the new energy vehicle charging pile transformer.

Description

Technical Field

[0001] The present application relates to the technical field of new energy charging piles, and in particular to a method for monitoring the operating status of a transformer in a new energy vehicle charging pile. Background Art

[0002] At present, the use of new energy charging piles in major cities is showing a rapid growth trend. They are mainly installed near parking stations in public buildings or residential areas. Affected by the fluctuations in charging prices at night, the vast majority of new energy vehicle owners choose to charge at night, which easily causes the charging pile transformer to overload for a long time at night.

[0003] As charging pile transformers age, the insulation within them ages, which can easily cause partial discharge (PD). This can prevent the charging pile from providing stable voltage to new energy vehicles, significantly reducing the charging power. Monitoring the balanced operation of the charging pile transformer can identify any signs of severe insulation aging early, allowing for prompt maintenance of the transformer to ensure stable and safe charging.

[0004] However, the operating status of the charging pile transformer is affected by peak charging periods and is prone to change. Therefore, monitoring the operating status of the charging pile transformer when insulation aging occurs is prone to misjudgment, resulting in poor monitoring accuracy. Therefore, how to accurately monitor the operating status of the charging pile transformer when insulation aging occurs has become an urgent problem to be solved. Summary of the Invention

[0005] In order to solve the above technical problems, the present application provides a method for monitoring the operating status of a new energy vehicle charging pile transformer to solve the existing problems.

[0006] The present invention discloses a method for monitoring the operating status of a new energy vehicle charging pile transformer using the following technical solutions:

[0007] An embodiment of the present application provides a method for monitoring the operating status of a new energy vehicle charging pile transformer, the method comprising the following steps:

[0008] Obtain current data, voltage data and power factor at each collection moment of the charging pile transformer end;

[0009] Detrended fluctuation analysis was performed on the current data and voltage data in each time period. Based on the differences between the current data and the detrended fluctuation analysis results, as well as the differences between the voltage data and the detrended fluctuation analysis results, the local change trend of each time period was determined.

[0010] Perform mutation point detection on the voltage data in each time period to extract the mutation voltage. The local discharge intensity of each time period is determined by the difference between the average level of all mutation voltages in each time period and the average level of all voltage data, combined with the local change trend of each time period.

[0011] Based on the difference between positive and negative numbers in the first-order difference results of the power factor in each time period, the efficiency loss degree of each time period is determined;

[0012] The imbalance degree of the operating status of the charging pile transformer in each period is obtained by combining the partial discharge intensity and efficiency loss degree in each period, and the operating status of the new energy vehicle charging pile transformer is monitored.

[0013] Furthermore, the method for determining the local change trend of each time period is:

[0014] Based on all the current data of each period, the current time series of each period is constructed, and the series obtained by detrending the current time series through fluctuation analysis is recorded as the current detrended time series;

[0015] The difference between the current time series of each period and all the elements in the same position in the current detrended time series is used to form the current trend difference sequence of each period. Correspondingly, for the voltage data of each period, the voltage trend difference sequence of each period is obtained;

[0016] Based on the differences of elements in the current trend difference sequence and the differences of elements in the voltage trend difference sequence, the local change trend of each time period is determined.

[0017] Furthermore, the current time series of each time period is a sequence composed of all current data in each time period arranged in ascending order of time.

[0018] Furthermore, the local change trend of each time period is the product of the difference between the first and last elements in the current trend difference sequence and the difference between the first and last elements in the voltage trend difference sequence.

[0019] Furthermore, the method for determining the partial discharge intensity in each time period is:

[0020] The number of mutation voltages in each time period is counted respectively, and the difference between the mean of the mutation voltage in each time period and the mean of the voltage data in each time period is analyzed, which is recorded as the mutation degree of each time period. The number, mutation degree and local change trend of each time period are integrated to obtain the local discharge intensity of each time period.

[0021] Furthermore, the local discharge intensity is the product of the quantity, the mutation degree and the local change trend.

[0022] Furthermore, the method for determining the efficiency loss degree of each time period is as follows:

[0023] For the power factor in each time period, the current time series construction method is used to obtain the power factor time series of each time period, and the number of negative numbers and positive numbers in the first-order difference series of the power factor time series of each time period are counted respectively;

[0024] The ratio of the number of negative numbers to the number of positive numbers is analyzed, and the ratio of the absolute value of the sum of all negative numbers to the sum of all positive numbers is analyzed, and the two ratios are combined to obtain the energy consumption degree of each time period.

[0025] Furthermore, the energy loss degree is the product of two ratios.

[0026] Furthermore, the imbalance degree of the operating state of the charging pile transformer in each time period is a fusion of the partial discharge intensity and the efficiency loss degree in each time period.

[0027] Furthermore, the monitoring of the operating status of the new energy vehicle charging pile transformer further includes: when the operating status imbalance is greater than a preset threshold, the new energy vehicle charging pile transformer operates abnormally in the corresponding time period.

[0028] This application has at least the following beneficial effects:

[0029] The present application realizes the monitoring of the operating status of the internal circuit of the new energy vehicle charging pile transformer when insulation aging occurs. Since the operating status of the charging pile transformer will be affected by the charging peak period, the operating status of the charging pile transformer will also change. Therefore, the monitoring of the operating status of the internal circuit of the charging pile transformer when insulation aging occurs is subject to interference caused by the charging peak period. Based on the local discharge characteristics caused by the aging of the circuit inside the charging pile transformer, the present application analyzes the electric pulse effect caused by local discharge, and combines the energy loss characteristics caused by the aging of the circuit inside the charging pile transformer to construct an operating status imbalance. The insulation aging degree of the internal circuit of the charging pile transformer is obtained through the operating status imbalance, which solves the problem of interference caused by the charging peak period when monitoring the operating status of the internal circuit of the charging pile transformer when insulation aging occurs, and improves the accuracy of monitoring the operating status of the internal circuit of the charging pile transformer when insulation aging occurs. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0031] Figure 1A flowchart of the steps of a method for monitoring the operating status of a new energy vehicle charging pile transformer provided in this application;

[0032] Figure 2 A schematic diagram of the process flow for constructing local change trends for each time period provided for this application. DETAILED DESCRIPTION

[0033] In order to further illustrate the technical means and effects adopted by this application to achieve the predetermined invention purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the specific implementation method, structure, features and effects of a new energy vehicle charging pile transformer operating status monitoring method proposed in this application. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics of one or more embodiments may be combined in any suitable form.

[0034] Unless otherwise defined, terms such as "comprises," "comprising," or any other variants thereof are intended to encompass non-exclusive inclusion, such that a circuit structure, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such article or device. In the absence of further restrictions, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the article or device comprising the element. In addition, the term "and\or" as used herein includes any and all combinations of one or more related listed items. All technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application pertains.

[0035] The following describes in detail a method for monitoring the operating status of a new energy vehicle charging pile transformer provided by this application with reference to the accompanying drawings.

[0036] An embodiment of the present application provides a method for monitoring the operating status of a new energy vehicle charging pile transformer. For details, please refer to Figure 1 , the method comprises the following steps:

[0037] Step 1: Collect the current, voltage, and power factor at the charging pile transformer end, and perform preprocessing to obtain the current time series, voltage time series, and power factor time series.

[0038] The purpose of this solution is to improve the accuracy of monitoring the operating status of the internal circuit of the charging pile transformer when insulation aging occurs, so as to timely repair the charging pile transformer and ensure the stability and safety of charging of the charging pile.

[0039] In the process of using a charging pile to charge a new energy vehicle, the charging pile includes a power module, a communication module, a status monitoring module, and a charging interface, and the charging pile is connected to the device and the terminal respectively;

[0040] The power module includes a protection module and a transformer module. The transformer module specifically uses the charging pile transformer to safely convert voltage and current, thereby realizing the circuit control function and providing safe voltage for charging new energy vehicles.

[0041] The status monitoring module collects the current, voltage, and power factor of the charging pile transformer in real time through the terminal sensing device, which includes but is not limited to a smart meter. In this embodiment, the collection interval is 10 seconds and the collection time is 24 hours;

[0042] The current, voltage and power factor collected every hour are respectively arranged in ascending time order as the current time series, voltage time series and power factor time series of each hour.

[0043] Step 2: Analyze the detrended fluctuation analysis results of the current data and voltage data of each time period separately. Based on the difference between the current data of each time period and its detrended fluctuation analysis results, as well as the difference between the voltage data and its detrended fluctuation analysis results, determine the local change trend of each time period.

[0044] Furthermore, under normal circumstances, if insulation aging occurs in the internal circuit of the charging pile transformer, as the degree of insulation aging deepens, a higher amount of partial discharge will be generated, which will continuously affect the current and voltage of the internal circuit of the charging pile transformer. That is, the characteristics of the degree of insulation aging of the circuit are manifested as a trend change in the current and voltage at the charging pile transformer end.

[0045] To analyze the impact of partial discharge on the internal circuits of the charging pile transformer, the hourly current time series is used as the input for the Detrended Fluctuation Analysis (DFA) method. The sequence obtained by performing a detrended fluctuation analysis on the current time series corresponding to each hour is recorded as the hourly current detrended time series. Correspondingly, the hourly voltage detrended time series is obtained. The DFA detrended fluctuation analysis method is a well-known technology, and the specific process is not repeated here.

[0046] Based on the trend characteristics of the current and voltage changes at the charging pile transformer end, the partial discharge characteristics of the internal circuit of the charging pile transformer are analyzed. Therefore, it is necessary to extract the trend characteristics in the current time series and voltage time series.

[0047] Furthermore, for ease of analysis and description, in this embodiment, one hour is considered as a time period, and the difference between the current time series of each time period and all elements in the same position in the current detrended time series is used to form the current trend difference sequence of each time period. Specifically, the corresponding elements between the current time series and the current detrended time series are subtracted for each hour, and the sequence composed of all the differences is used as the current trend difference sequence for each hour.

[0048] Similarly, the corresponding elements of the voltage time series of each hour are subtracted from the voltage detrended time series, and the sequence composed of all the differences is used as the voltage trend characteristic sequence of each hour;

[0049] Based on the above analysis, the local change trend of the charging pile transformer during each hour of operation is calculated, and the product of the difference between the first and last elements in the current trend difference sequence and the difference between the first and last elements in the voltage trend difference sequence is used as the local change trend of each time period. Specifically, in this embodiment, the calculation formula for the local change trend is: ;

[0050] in, is the local change trend of the charging pile transformer during the operation process of the i-th hour, and They represent the first data and the nth data in the current trend difference sequence in the i-th hour, that is, the last data in the current trend difference sequence. and They are respectively the first data and the mth data in the voltage trend feature sequence in the i-th hour, that is, the last data in the voltage trend feature sequence.

[0051] According to the above process, it can be understood that The bigger and The larger it is, the stronger the trend of the current and voltage changes in the charging pile transformer. Since the aging of the insulation of the charging pile transformer produces a high amount of partial discharge, it will continuously affect the current and voltage of the internal circuit of the charging pile transformer, resulting in a trend of change in current and voltage. That is, the stronger the trend of current and voltage changes, the more it can explain the partial discharge characteristics of line aging, and the greater the trend of local changes.

[0052] For a detailed diagram of the process of constructing local change trends in each period, please refer to Figure 2 .

[0053] Step 3: Perform mutation point detection on the voltage data in each time period to extract the mutation voltage. The local discharge intensity of each time period is determined by the difference between the average level of all mutation voltages in each time period and the average level of all voltage data, combined with the local change trend of each time period.

[0054] Furthermore, when a significant partial discharge (PD) signal occurs within the charging pile transformer, it generates significant electromagnetic waves, which in turn causes the voltage at the charging pile transformer to exhibit an electric pulse effect—a sudden change in voltage over a short period of time. Furthermore, the larger the PD signal, the stronger the electric pulse effect generated during operation.

[0055] In order to reflect the characteristics of sudden changes in the voltage at the charging pile transformer terminal, the voltage time series of each hour is used as the input of the Pettitt mutation point detection algorithm, and the output of the Pettitt mutation point detection algorithm is used as all the mutation points in the voltage time series. The Pettitt mutation point detection algorithm is a well-known technology, and the specific process is not repeated here.

[0056] The more mutation points appear in the voltage time series and the greater the voltage change at the mutation points, the stronger the electric pulse effect generated by the charging pile transformer during operation.

[0057] Based on the above analysis, the partial discharge intensity of the charging pile transformer during operation per hour is calculated:

[0058] , where is the partial discharge intensity of the charging pile transformer during the i-th hour of operation, is the local change trend of the charging pile transformer during the operation process of the i-th hour, is the number of mutation points in the voltage time series in the i-th hour, is the mean value of the voltage at all mutation points in the voltage time series of the i-th hour, is the mean value of all voltages in the voltage time series of the ith hour, It is recorded as the mutation degree in the i-th hour.

[0059] It is understandable that the number of mutation points The larger the value, the greater the difference between the voltage mean at the mutation point and the voltage mean in the voltage time series. The larger the value, the more times the electric pulses are and the higher the electric pulse intensity is. At the same time, the local change trend The larger it is, the stronger the characteristics of local discharge in the charging pile transformer are. The stronger the electric pulse generated at this time is, the greater the intensity of local discharge is.

[0060] Step 4: Based on the first-order difference of the power factor in each time period, determine the efficiency loss in each time period.

[0061] Furthermore, when the insulation of the internal circuits of the charging pile transformer ages, local discharge characteristics will occur, which will greatly affect the working efficiency of the charging pile transformer. At this time, the change in the power factor inside the charging pile transformer will show a continuous decline, which will have a greater impact on the operating balance state of the charging pile transformer.

[0062] Calculate the first-order difference sequence of the power factor time series for each hour, and count the number of all positive values ​​and the number of all negative values ​​in the first-order difference sequence;

[0063] Calculate the efficiency loss of the charging pile transformer during each hour of operation, construct the power factor time series of each time period with all power factors of each time period, and count the number of negative numbers and positive numbers in the first-order difference sequence of the power factor time series of each time period respectively; analyze the ratio of the number of negative numbers to the number of positive numbers, and analyze the ratio of the absolute value of the sum of all the negative numbers to the sum of all the positive numbers, and combine the two ratios to obtain the energy loss of each time period. Preferably, in this embodiment, the calculation process of the efficiency loss is:

[0064] , where is the efficiency loss of the charging pile transformer during the operation of the i-th hour, and are the number of negative and positive numbers in the first-order difference sequence of the power factor time series in the i-th hour, and The sum of all negative numbers and the sum of all positive numbers in the first-order difference sequence of the power factor time series at the i-th hour are respectively. The higher the ratio, the greater the absolute value of the sum of all negative numbers. The higher it is, to a certain extent, it shows that the characteristics of the power factor change decrease in the charging pile transformer are more obvious, that is, the more serious the efficiency loss of the charging pile transformer when it is working, the greater the efficiency loss.

[0065] Step 5: Combine the partial discharge intensity and efficiency loss of each time period to obtain the imbalance degree of the operating state of the charging pile transformer at each moment, and monitor the operating state of the new energy vehicle charging pile transformer.

[0066] Furthermore, based on the electric pulse effect caused by partial discharge during the operation of the charging pile transformer and the efficiency loss characteristics of the charging pile transformer, the operating state imbalance of the charging pile transformer is constructed, and the operating balance state of the charging pile transformer is evaluated. Among them, the stronger the electric pulse effect and the greater the efficiency loss characteristics of the charging pile transformer, the worse the operating balance state of the charging pile transformer, and the higher the corresponding operating state imbalance. Therefore, the operating state imbalance of the charging pile transformer in each time period is the fusion of the local discharge intensity and the efficiency loss degree of each time period. It should be noted that the fusion is determined by itself according to the specific application scenario, and is intended to evaluate the operating state imbalance of the charging pile transformer in each time period by combining the local discharge intensity and efficiency loss degree of each time period. The greater the local discharge intensity and efficiency loss degree of each time period, the greater the operating state imbalance of the charging pile transformer in the corresponding time period. Preferably, this embodiment will calculate the operating state imbalance of the charging pile transformer during each hour's operation:

[0067] , where is the operating state imbalance degree of the charging pile transformer during the i-th hour operation process, is the normalization function, is the partial discharge intensity of the charging pile transformer during the i-th hour of operation, is the efficiency loss degree of the charging pile transformer during the i-th hour of operation. It should be noted that, in actual applications, implementers may use the normalized sum of the partial discharge intensity during the i-th hour of operation and the efficiency loss degree during the i-th hour of operation as the operating state imbalance degree of the charging pile transformer during the i-th hour of operation. This embodiment does not impose any specific restrictions on this.

[0068] It is understandable that the partial discharge intensity The larger the performance, the greater the loss The larger it is, to a certain extent, it means that the electric pulse effect generated by partial discharge during the operation of the charging pile transformer is stronger, and the greater the efficiency loss characteristics of the charging pile transformer, the worse the operating balance state of the charging pile transformer, and the greater the imbalance of the operating state.

[0069] At this point, this embodiment constructs the operating status imbalance based on the electric pulse effect caused by partial discharge during the operation of the charging pile transformer and the efficiency loss characteristics of the charging pile transformer, avoiding the imbalance effect caused by the peak charging period, and making the operating status monitoring of the charging pile transformer internal insulation aging more accurate.

[0070] Furthermore, this embodiment accurately monitors the degree of insulation aging within the charging pile transformer's internal wiring based on the operating state imbalance during each hour's operation. A greater operating state imbalance indicates a greater electrical pulse effect within the charging pile transformer and greater transformer efficiency loss, reflecting more pronounced signs of partial discharge in the charging pile transformer and a higher degree of insulation aging within the charging pile transformer.

[0071] Preferably, in this embodiment, when the operating state imbalance is greater than a preset threshold, the new energy vehicle charging pile transformer is operating abnormally during the corresponding period. Specifically, when the operating state imbalance is less than or equal to 0.5, it is determined that the internal circuit of the charging pile transformer is normal and the operating state of the charging pile transformer is normal; when the operating state imbalance is greater than 0.5, it is determined that the insulation aging of the internal circuit of the charging pile transformer is relatively serious and the operating state of the charging pile transformer is abnormal.

[0072] It can be understood that the greater the operating status imbalance, the more serious the aging of the internal circuit insulation of the charging pile transformer, and the more abnormal the operating status of the charging pile transformer. At this point, the monitoring of the operating status of the charging pile transformer is completed based on the operating status imbalance.

[0073] It is understood that references to "one embodiment" or "some embodiments" in the present specification mean that one or more embodiments of the present application include a particular feature, structure, or characteristic described in conjunction with that embodiment. Thus, if "in one embodiment," "in some embodiments," "in other embodiments," or "in other embodiments" appear in different places in this specification, they do not necessarily refer to the same embodiment, but rather mean "one or more but not all embodiments," unless otherwise specifically emphasized. The terms "including," "comprising," "having," and their variations all mean "including but not limited to," unless otherwise specifically emphasized.

[0074] It should be noted that the above-mentioned sequence of the embodiments of the present application is for description only and does not represent the advantages and disadvantages of the embodiments. The above description is of a specific embodiment of this specification. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-tasking and parallel processing are also possible or may be advantageous. At the same time, the size of the sequence number of each step in the embodiment does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments in this specification.

[0075] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A method for monitoring the operating status of a new energy vehicle charging pile transformer, characterized in that: The method comprises the following steps: Obtain the current data, voltage data and power factor at each collection moment of the charging pile transformer end; Based on all current data in each time period, the current time series of each time period is constructed; the current data and voltage data in each time period are subjected to detrended fluctuation analysis respectively, and the local change trend of each time period is determined based on the difference between the current data of each time period and the detrended fluctuation analysis results, as well as the difference between the voltage data and the detrended fluctuation analysis results; The voltage data in each period is subjected to mutation point detection to extract mutation voltage. The local discharge intensity in each period is determined by the difference between the average level of all mutation voltages in each period and the average level of all voltage data, combined with the local change trend of each period. Based on the difference between positive and negative numbers in the first-order difference results of the power factor in each time period, determine the efficiency loss degree of each time period; Combined with the local discharge intensity and efficiency loss of each period, the imbalance degree of the operating state of the charging pile transformer in each period is obtained to monitor the operating state of the new energy vehicle charging pile transformer; The method for determining the partial discharge intensity in each time period is: The number of mutation voltages in each time period is counted respectively, and the difference between the mean of the mutation voltage in each time period and the mean of the voltage data in each time period is analyzed, which is recorded as the mutation degree in each time period, and the number, mutation degree and local change trend of each time period are integrated to obtain the local discharge intensity in each time period; The method for determining the efficiency loss of each time period is as follows: For the power factor in each time period, the current time series construction method is used to obtain the power factor time series of each time period, and the number of negative numbers and positive numbers in the first-order difference sequence of the power factor time series of each time period are counted respectively; The ratio of the number of negative numbers to the number of positive numbers is analyzed, and the ratio of the absolute value of the sum of all the negative numbers to the sum of all the positive numbers is analyzed, and the two ratios are combined to obtain the energy consumption degree of each time period.

2. A method for monitoring the operating status of a new energy vehicle charging pile transformer as claimed in claim 1, characterized in that: The method for determining the local change trend of each time period is as follows: The sequence obtained by performing detrended fluctuation analysis on the current time series is recorded as the current detrended time series; The difference between the current time series of each period and all the elements in the same position in the current detrended time series is used to form the current trend difference sequence of each period. Correspondingly, for the voltage data of each period, the voltage trend difference sequence of each period is obtained; Based on the differences in the elements in the current trend difference sequence and the differences in the elements in the voltage trend difference sequence, the local change trend of each time period is determined.

3. A method for monitoring the operating status of a new energy vehicle charging pile transformer as claimed in claim 1, characterized in that: The current time series of each time period is a sequence consisting of all current data in each time period arranged in ascending order of time.

4. A method for monitoring the operating status of a new energy vehicle charging pile transformer as claimed in claim 2, characterized in that: The local change trend of each time period is the product of the difference between the first and last elements in the current trend difference sequence and the difference between the first and last elements in the voltage trend difference sequence.

5. A method for monitoring the operating status of a new energy vehicle charging pile transformer as claimed in claim 1, characterized in that: The local discharge intensity is the product of the quantity, the mutation degree and the local change trend.

6. A method for monitoring the operating status of a new energy vehicle charging pile transformer as claimed in claim 1, characterized in that: The energy loss degree is the product of the two ratios.

7. A method for monitoring the operating status of a new energy vehicle charging pile transformer as claimed in claim 1, characterized in that: The imbalance degree of the operating state of the charging pile transformer in each time period is a fusion of the local discharge intensity and the efficiency loss degree in each time period.

8. A method for monitoring the operating status of a new energy vehicle charging pile transformer as claimed in claim 1, characterized in that: The monitoring of the operating status of the new energy vehicle charging pile transformer further includes: when the operating status imbalance is greater than a preset threshold, the new energy vehicle charging pile transformer operates abnormally in the corresponding time period.

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