Method and system for online evaluation of charging pile metrological performance based on correlation test

Abstract

The method and system for online evaluation of charging pile metering performance based on correlation test, the method first acquires the cumulative electric energy metering data of the charging pile in actual operation to form a preliminary data set; then, based on the preliminary data set, the bias electric energy and loss electric energy of the charging pile are considered to establish the metering performance evaluation parameters of the charging pile group; finally, based on the metering performance evaluation parameters of the charging pile group, the method of correlation test is used to online evaluate the metering performance of the charging pile. The application online evaluates the metering performance of the charging pile based on the cumulative electric energy metering data of the charging pile in actual operation, considers the bias electric energy and loss electric energy of the charging pile, timely locates the metering inaccurate charging pile without increasing the hardware modification cost, realizes the state evaluation and monitoring of the metering performance of the operating charging facility, effectively improves the intelligent operation and maintenance level of the electric vehicle charging facility, and ensures the accuracy and reliability of the electric energy metering of the charging pile.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of charging piles, and particularly relates to a charging pile metering performance online evaluation method and system based on correlation test. BACKGROUND

[0002] As the core support of new energy vehicles, the charging infrastructure system construction has developed rapidly. By the end of January 2025, the number of charging piles in China has exceeded 13 million. Nowadays, as the current emerging electric energy transaction terminal, the metering accuracy of charging piles involves the interests of the general public and public service companies. Therefore, in order to ensure the fairness of electric energy transactions, the metering performance of charging piles needs to be obtained in time, and the operation and maintenance of charging piles with abnormal metering performance need to be carried out.

[0003] With the rapid construction of charging piles, the layout of charging piles presents the characteristics of distribution and large quantity. The traditional charging pile metering performance detection method mainly relies on professional testers carrying multiple testing devices to carry out charging pile metering performance test experiments on site at regular intervals. This method has the disadvantages of large testing loss, poor real-time performance, high cost, etc. Once the charging pile with metering performance exceeding the specified threshold continues to operate, it will destroy the fairness of the electric energy transaction market and damage the interests of users and public service companies. Therefore, the traditional detection method cannot completely meet the needs of the regular charging pile metering performance detection in the existing testing regulations. SUMMARY

[0004] The purpose of the present application is to solve the above problems existing in the prior art, and to provide a charging pile metering performance online evaluation method and system based on correlation test.

[0005] To achieve the above purpose, the technical scheme of the present application is as follows:

[0006] In a first aspect, the present application provides a charging pile metering performance online evaluation method based on correlation test, which comprises:

[0007] S1, obtaining the electric energy metering data accumulated by the charging pile during actual operation to form a preliminary data set ;

[0008] S2, based on the preliminary data set, considering the deviation electric energy and loss electric energy of the charging pile, establishing the metering performance evaluation parameter of the charging pile group;

[0009] S3, based on the metering performance evaluation parameter of the charging pile group, using the correlation test method to perform online evaluation on the metering performance of the charging pile.

[0010] In the S2, the metering performance evaluation parameter of the charging pile group is calculated by using the following formula:

[0011] ;

[0012] ;

[0013] In the above formula, For a moment Metering performance evaluation parameters for charging pile groups For a moment The electricity metering data of the total hourly electricity meter. This is the number representing the time of electricity metering. This represents the number of charging stations currently in operation. For a moment charging pile Electricity metering data, This represents the loss coefficient of the charging pile. For charging piles The measurement deviation coefficient.

[0014] S3 includes:

[0015] S31. The metering performance evaluation parameters of the charging pile group at each moment are calculated according to the commissioning combination. The data are categorized to form evaluation parameter datasets for different deployment combinations. ;

[0016] S32. Based on the evaluation parameter datasets of different investment combinations, calculate the correlation test statistic for all investment combinations, and determine the corresponding correlation test statistic for each investment combination. value;

[0017] S33. Based on the correlation test statistic of all operational combinations... The value is used to determine whether there are significant differences in the distribution of the evaluation parameter datasets for different operation combinations. If there are no significant differences, the metering performance of all charging piles is considered normal. If there are significant differences, all operation combinations are evaluated based on the mean of their evaluation parameter datasets. of size Sort in descending order, and select the group with the largest mean. The commissioning combination refers to the commissioning combination with suspected metering abnormalities of charging piles;

[0018] S34. Calculate the comprehensive metering performance evaluation score of the charging piles in operation among all the charging piles with suspected metering anomalies, and compare the comprehensive metering performance evaluation score of the charging pile with the metering performance evaluation score threshold. In contrast, if the comprehensive score of the charging pile's measurement performance evaluation does not exceed the threshold value, it is determined that the measurement performance of the charging pile is normal, if the comprehensive score of the measurement performance evaluation of the charging pile exceeds the threshold value, the charging pile is identified as a charging pile with abnormal measurement performance, and the online evaluation of the measurement performance of the charging pile is completed.

[0019] In the S32, the correlation test statistics of all the operating combinations are calculated by the following formula:

[0020] ;

[0021] ;

[0022] ;

[0023] In the above formula, is the correlation test statistics of all the operating combinations, is the inter-group mean square value of the evaluation parameter data set of all the operating combinations, is the intra-group mean square value of the evaluation parameter data set of all the operating combinations, is the number of data contained in is the mean variance of different ; is the total number of charging piles, is the variance of ; is the mean value of ;

[0024] In the S34, the comprehensive score of the measurement performance evaluation of the charging pile in the working state is calculated by the following formula:

[0025] ;

[0026] ;

[0027] ;

[0028] In the above formula, is the comprehensive score of the measurement performance evaluation of the charging pile in the working state, is the working frequency of the charging pile ; is the total evaluation score of the charging pile in all operating combinations, is the total number of charging piles, is the evaluation score of the charging pile in the operating combination ; is The mean, For investment portfolio Zhongdian Charging Pile The work status.

[0029] Secondly, this invention proposes an online evaluation system for the metering performance of charging piles based on correlation testing, including a data acquisition module, an evaluation parameter establishment module, and a performance evaluation module.

[0030] The data acquisition module is used to acquire the accumulated electricity metering data of the charging pile during actual operation, forming a preliminary dataset. ;

[0031] The evaluation parameter establishment module is used to establish metering performance evaluation parameters for the charging pile group based on the pre-set dataset, taking into account the deviation energy and loss energy of the charging piles.

[0032] The performance evaluation module is used to evaluate the metering performance of charging piles based on the metering performance parameters of the charging pile group, and uses the correlation test method to evaluate the metering performance of the charging piles online.

[0033] In the evaluation parameter establishment module, the metering performance evaluation parameters of the charging pile group are calculated using the following formula:

[0034] ;

[0035] ;

[0036] In the above formula, For a moment Metering performance evaluation parameters for charging pile groups For a moment The electricity metering data of the total hourly electricity meter. This is the number representing the time of electricity metering. This represents the number of charging stations currently in operation. For a moment charging pile Electricity metering data, This represents the loss coefficient of the charging pile. For charging piles The measurement deviation coefficient.

[0037] The performance evaluation module includes a dataset formation unit, a statistical calculation unit, a dataset difference judgment unit, and an evaluation score comparison unit.

[0038] The dataset forming unit is used to process the metering performance evaluation parameters of the charging pile group at various times according to the commissioning combination. The data are categorized to form evaluation parameter datasets for different deployment combinations. ;

[0039] The statistical calculation unit is used to calculate the correlation test statistics for all investment combinations based on the evaluation parameter datasets of different investment combinations, and to determine the corresponding correlation test statistics for all investment combinations. value;

[0040] The dataset difference judgment unit is used to determine the correlation test statistic of all investment combinations. The value is used to determine whether there are significant differences in the distribution of the evaluation parameter datasets for different operation combinations. If there are no significant differences, the metering performance of all charging piles is considered normal. If there are significant differences, all operation combinations are evaluated based on the mean of their evaluation parameter datasets. of size Sort in descending order, and select the group with the largest mean. The commissioning combination refers to the commissioning combination with suspected metering abnormalities of charging piles;

[0041] The evaluation score comparison unit is used to calculate the comprehensive evaluation score of the metering performance of the charging piles in operation among all the charging piles with suspected metering anomalies, and compare the comprehensive evaluation score of the charging pile with the metering performance evaluation score threshold. In comparison, if the overall score of the metering performance evaluation of the charging pile does not exceed the threshold, the metering performance of the charging pile is judged to be normal. If the overall score of the metering performance evaluation of the charging pile exceeds the threshold, the charging pile is identified as a charging pile with abnormal metering performance, and the online evaluation of the metering performance of the charging pile is completed.

[0042] In the statistical calculation unit, the correlation test statistic for all operational combinations is calculated using the following formula:

[0043] ;

[0044] ;

[0045] ;

[0046] In the above formula, This is the correlation test statistic for all investment combinations. The inter-group mean square values ​​of the evaluation parameter dataset for all operational portfolios. The within-group mean square values ​​of the evaluation parameter dataset for all investment portfolios. for The number of data points contained For different The mean and variance This represents the total number of charging stations. for variance for The mean;

[0047] In the evaluation score comparison unit, the comprehensive score for the metering performance evaluation of the charging pile in operation is calculated using the following formula:

[0048] ;

[0049] ;

[0050] ;

[0051] In the above formula, Charging piles that are in operation The comprehensive score for metrological performance evaluation For charging piles Number of times of work, For all charging piles in the operational portfolio The sum of the evaluation scores, This represents the total number of charging stations. For investment portfolio Zhongdian Charging Pile Evaluation score, for The mean, For investment portfolio Zhongdian Charging Pile The work status.

[0052] Thirdly, the present invention proposes an online evaluation device for the metering performance of charging piles based on correlation testing, including a processor and a memory;

[0053] The memory is used to store computer program code and to transmit the computer program code to the processor;

[0054] The processor is used to execute the aforementioned online evaluation method for the metering performance of charging piles based on correlation tests, according to the instructions in the computer program code.

[0055] Fourthly, the present invention provides a computer storage medium on which a computer program is stored;

[0056] When the computer program is executed by the processor, it implements the steps of the aforementioned online evaluation method for the metering performance of charging piles based on correlation testing.

[0057] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0058] The application provides a charging pile metering performance online evaluation method and system based on correlation test ; then, based on the preliminary data set, considering the deviation electric energy and loss electric energy of the charging pile, a metering performance evaluation parameter of the charging pile group is established; and finally, based on the metering performance evaluation parameter of the charging pile group, the metering performance of the charging pile is online evaluated by using the correlation test method. The method online evaluates the metering performance of the charging pile based on the electric energy metering data accumulated by the charging pile in actual operation, considers the deviation electric energy and loss electric energy of the charging pile, timely locates the metering inaccurate charging pile without increasing the hardware modification cost, realizes the state evaluation and monitoring of the metering performance of the charging facility in operation, effectively improves the intelligent operation and maintenance level of the electric vehicle charging facility, and ensures the accuracy and reliability of the electric energy metering of the charging pile. BRIEF DESCRIPTION OF DRAWINGS

[0059] Figure 1 The method is shown in the overall flowchart.

[0060] Figure 2 The electrical connection topology structure diagram of the charging station is shown in Example 1.

[0061] Figure 3 The structure diagram of the system is shown.

[0062] Figure 4 The structure diagram of the device is shown. DETAILED DESCRIPTION

[0063] The application will be further described in detail in combination with specific implementation manners and the drawings.

[0064] The application provides a charging pile metering performance online evaluation method and system based on correlation test, electric energy metering data of the charging pile in operation is obtained, data of light load is removed, a preliminary data set for evaluating the metering performance of the charging pile is formed, the deviation electric energy and loss electric energy of the charging pile are considered, a metering performance evaluation parameter of the charging pile group is established, a binary coding mode is used to construct a mathematical expression form of the operation combination of the charging pile, and the metering performance evaluation parameters of the charging pile group at each moment are classified according to the operation combination to form evaluation parameter data sets of different operation combinations; based on the evaluation parameter data sets of different operation combinations of the charging pile group, in combination with the significance test and mean comparison, the correlation test of the evaluation parameter data of the operation combination is carried out, and the metering performance of the charging pile is online evaluated. The method not only can greatly improve the detection efficiency and reduce the supervision cost, but also solves the problem that the metering inaccurate charging pile is continuously put into operation due to the time error in the traditional charging pile metering performance evaluation.

[0065] Example 1

[0066] As Figure 1 shown, the charging pile metering performance online evaluation method based on correlation test is performed in the following steps:

[0067] 1. Obtain the cumulative electric energy metering data of the charging pile in actual operation, eliminate the electric energy metering data of light load, and form a preliminary data set for charging pile metering performance evaluation ;

[0068] The electric energy total meter and the electrical connection topology structure of the charging pile in the charging station are as Figure 2 shown, the charging pile refers to the charging pile of the electric energy total meter under the configuration transformer of the charging station, wherein the electric energy total meter and the charging pile under the transformer both have electric energy metering function, and the power supply line supplies power to all charging piles in a radial form from the electric energy total meter;

[0069] The electric energy metering data at each time includes the electric energy metering data of the electric energy total meter and all charging piles at that time, and the electric energy metering data of light load is limited according to the actual charging pile model specification; That is, if the light load coefficient of a charging pile is 10%, then when the current load is 10% of the rated power, it is considered that the current load is light load, and the electric energy metering data of the electric energy total meter and all charging piles at the current time is deleted, to obtain a preliminary data set for charging pile metering performance evaluation ;

[0070] 2. Based on the preliminary data set, considering the deviation electric energy and loss electric energy of the charging pile, the metering performance evaluation parameters of the charging pile group are established;

[0071] Since the accuracy level of the electric energy total meter is high, the metering performance is stable, so the electric energy metering data of the electric energy total meter is regarded as the true value, and there is no deviation electric energy;

[0072] According to the law of conservation of energy, the electric energy conservation equation of the charging pile including the deviation electric energy and the loss electric energy is established:

[0073] ;

[0074] In the above formula, is the electric energy metering data of the electric energy total meter at time , is the number of electric energy metering time, is the number of charging piles in operation, is the electric energy metering data of the charging pile at time , is the deviation electric energy of the charging pile at time , is the loss electric energy of the charging pile a metering deviation coefficient of the charging pile, is a loss coefficient of the charging pile, which is set , and is a constant value and depends on the model specification of the charging pile;

[0075] Based on the electrical energy conservation equation, the metering performance evaluation parameter of the charging pile group is calculated by the following formula:

[0076] ;

[0077] In the above formula, is the metering performance evaluation parameter of the charging pile group at time ; is the loss electrical energy of the charging pile at time ;

[0078] For a DC charging station with a specific charging pile number configuration of 5, the electrical energy metering data of the total metering table at time is , and the electrical energy metering data of the charging pile is Assuming that there are 2 charging piles participating in charging in the DC charging station at time , numbered 1 and 4, the corresponding metering deviation coefficients are , , and the loss coefficients of the charging piles 1 and 4 are , as the charging piles in the same charging station are all products of the same model. At this time, the electrical energy conservation equation is constructed as:

[0079] ;

[0080] The metering performance evaluation parameter of the group composed of the charging piles 1 and 4 is:

[0081] .

[0082] 3. A binary coding method is used to construct the mathematical expression form of the operation combination of the charging piles, and the metering performance evaluation parameters of the charging pile group at each time are classified according to the operation combination to form the evaluation parameter data set of different operation combinations ;

[0083] For a DC charging station with a specific charging pile number configuration of , the operating state of each charging pile is divided into two states: working and standby. By using the binary coding method, the charging pile in the working state is assigned “1”, and the charging pile in the standby state is assigned “0”. The mathematical expression form of all charging piles in the DC charging station under different operation combinations is There should be 31, specifically: Taking charging piles No. 1 and No. 4 as an example, this type of operation combination is denoted as... The operational combination The metering performance evaluation parameters corresponding to the operating time are summarized into the evaluation parameter dataset of this commissioning combination. In the middle, the evaluation parameter dataset is recorded. The number of data contained therein is .

[0084] 4. Based on the evaluation parameter dataset of different commissioning combinations of charging pile groups, the correlation test method is used to conduct online evaluation of the metering performance of charging piles;

[0085] Based on the correlation of charging pile groups, a parameter for evaluating the metering performance of charging piles is proposed, and then a correlation test is used to determine the correlation between the value of the evaluation parameter and the charging piles with metering abnormalities.

[0086] By combining significance tests and mean comparisons, this study analyzes the numerical differences in the evaluation parameter datasets among different investment combinations. This includes using ANOVA as the specific method for significance testing to examine the differences between different investment combinations. Corresponding evaluation parameter dataset The presence of significant differences, i.e., correlation, indicates that the different evaluation parameter datasets are correlated; conversely, the absence of significant differences indicates that the different evaluation parameter datasets are not correlated. Mean comparison is used to analyze the evaluation parameter datasets of different investment portfolios. The degree of correlation, i.e., calculating the mean of the evaluation parameters for each operational combination. The evaluation score is given based on the average value, and then the abnormal charging piles are located.

[0087] The correlation test statistic for all investment combinations is calculated using the following formula, and the corresponding F-distribution table is used to determine the correlation test statistic for each investment combination. value:

[0088] ;

[0089] ;

[0090] ;

[0091] In the above formula, This is the correlation test statistic for all investment combinations. The inter-group mean square values ​​of the evaluation parameter dataset for all operational portfolios. The within-group mean square values ​​of the evaluation parameter dataset for all investment portfolios. for The number of data points contained For different The mean and variance This represents the total number of charging stations. for variance for The mean;

[0092] Based on the correlation test statistic of all operational combinations The value is used to determine whether there are significant differences in the distribution of evaluation parameter datasets for different investment combinations. If there are no significant differences, then... If the value is not less than the significance level of 0.05, then the metering performance of all charging piles is considered normal. If there is a significant difference, then... If the value is less than the significance level of 0.05, then all investment portfolios are evaluated based on the mean of their respective evaluation parameter datasets. of size Sort in descending order, and select the group with the largest mean. The commissioning combination refers to the commissioning combination with suspected metering abnormalities of charging piles;

[0093] A performance evaluation system for charging pile metering is proposed, which incorporates the mean value from correlation tests. As the weight for evaluating the metering performance of charging piles in the corresponding commissioning combination, the commissioning combination of charging piles No. 1 and No. 4 is used. For example, the metering performance evaluation score for this commissioning combination is:

[0094] ;

[0095] In the above formula, For investment portfolio The metering performance evaluation score, and the evaluation scores corresponding to charging piles No. 1 and No. 4 that are currently in operation. for The remaining charging piles received a score of 0.

[0096] Further calculations were made of the comprehensive metering performance evaluation scores of the charging piles in operation among all the operational combinations with suspected metering anomalies:

[0097] ;

[0098] ;

[0099] ;

[0100] In the above formula, Charging piles that are in operation a comprehensive score of the metering performance evaluation of the charging pile, the working times of the charging pile, the total sum of the evaluation scores of the charging piles in all operating combinations, the total number of the charging piles, the evaluation score of the charging pile in the operating combination, the average value of the evaluation score of the charging pile, the working state of the charging pile in the operating combination;

[0101] According to the historical data set of the charging pile with normal metering performance, the threshold value of the metering performance evaluation score of the normal charging pile is obtained , and the comprehensive score of the metering performance evaluation of the charging pile is compared with the threshold value of the metering performance evaluation score . If the comprehensive score of the metering performance evaluation of the charging pile does not exceed the threshold value, it is judged that the metering performance of the charging pile is normal, and if the comprehensive score of the metering performance evaluation of the charging pile exceeds the threshold value, the charging pile is identified as a charging pile with abnormal metering performance, and the online evaluation of the metering performance of the charging pile is completed.

[0102] Embodiment 2:

[0103] As shown in Figure 3 , the online evaluation system of the metering performance of the charging pile based on correlation test includes a data acquisition module, an evaluation parameter establishment module and a performance evaluation module.

[0104] The data acquisition module is used to acquire the electric energy metering data accumulated by the charging pile during actual operation, and form a preliminary data set .

[0105] The evaluation parameter establishment module is used to establish the metering performance evaluation parameters of the charging pile group based on the preliminary data set, considering the deviation electric energy and the loss electric energy of the charging pile.

[0106] The performance evaluation module is used to perform online evaluation of the metering performance of the charging pile by using the method of correlation test based on the metering performance evaluation parameters of the charging pile group.

[0107] In the evaluation parameter establishment module, the metering performance evaluation parameters of the charging pile group are calculated by using the following formula:

[0108] ;

[0109] ;

[0110] In the above formula,​​​​​​​ is a time is a performance evaluation parameter of the charging pile group at the time is a time is the electric energy measurement data of the total meter at the time is a number of the electric energy measurement time is a number of the charging piles in operation is a time is the electric energy measurement data of the charging pile at the time is a loss coefficient of the charging pile is a measurement deviation coefficient of the charging pile at the time

[0111] The performance evaluation module comprises a data set forming unit, a statistical quantity calculation unit, a data set difference judgment unit and an evaluation score comparison unit.

[0112] The data set forming unit is configured to classify the performance evaluation parameters of the charging pile group at each time according to the combination of the charging piles in operation, and form evaluation parameter data sets of different combinations of the charging piles in operation. The statistical quantity calculation unit is configured to calculate the correlation test statistical quantities of all combinations of the charging piles in operation based on the evaluation parameter data sets of different combinations of the charging piles in operation, and determine the p values corresponding to the correlation test statistical quantities of all combinations of the charging piles in operation.

[0113] The data set difference judgment unit is configured to judge whether there is a significant difference in the distribution of the evaluation parameter data sets of different combinations of the charging piles in operation according to the p values corresponding to the correlation test statistical quantities of all combinations of the charging piles in operation. If there is no significant difference, it is judged that the measurement performance of all charging piles is normal.If there is a significant difference, all combinations of the charging piles in operation are sorted in descending order according to the values of the mean values of the evaluation parameter data sets of the combinations.The first combinations with the largest mean values are the combinations of the charging piles in operation with suspected measurement abnormalities.

[0114] The evaluation score comparison unit is configured to calculate the measurement performance evaluation comprehensive scores of the charging piles in operation in all combinations of the charging piles in operation with suspected measurement abnormalities, and compare the measurement performance evaluation comprehensive scores of the charging piles with a measurement performance evaluation score threshold value. If the measurement performance evaluation comprehensive score of the charging pile is less than the measurement performance evaluation score threshold value, it is judged that the charging pile has a measurement abnormality.

[0115] ​​​​In contrast, if the comprehensive score of the charging pile's measurement performance evaluation does not exceed the threshold value, it is judged that the measurement performance of the charging pile is normal, if the comprehensive score of the measurement performance evaluation of the charging pile exceeds the threshold value, the charging pile is identified as a charging pile with abnormal measurement performance, and the online evaluation of the measurement performance of the charging pile is completed.

[0116] In the statistical quantity calculation unit, the correlation test statistical quantity of all operating combinations is calculated by the following formula:

[0117] ;

[0118] ;

[0119] ;

[0120] In the above formula, is the correlation test statistical quantity of all operating combinations, is the inter-group mean square value of the evaluation parameter data set of all operating combinations, is the intra-group mean square value of the evaluation parameter data set of all operating combinations, is the number of data contained in is the mean square deviation of different , is the total number of charging piles, is the variance of , is the mean value of ;

[0121] In the evaluation score comparison unit, the comprehensive score of the measurement performance evaluation of the charging pile in the working state is calculated by the following formula:

[0122] ;

[0123] ;

[0124] ;

[0125] In the above formula, is the comprehensive score of the measurement performance evaluation of the charging pile in the working state, is the working frequency of the charging pile , is the total evaluation score of the charging pile in all operating combinations, is the total number of charging piles, is the evaluation score of the charging pile in the operating combination , is the mean value of the number of times of being put into operation the charging pile in the charging pile working state.

[0126] Embodiment 3:

[0127] As shown in Figure 4 the charging pile metrological performance online evaluation device based on correlation test, comprising a processor and a memory;

[0128] The memory is used for storing computer program code and transmitting the computer program code to the processor;

[0129] The processor is used for executing the charging pile metrological performance online evaluation method based on correlation test according to the instructions in the computer program code.

[0130] Embodiment 4:

[0131] A computer storage medium, which stores a computer program;

[0132] The computer program is executed by the processor to realize the steps of the charging pile metrological performance online evaluation method based on correlation test.

Claims

1.A method for online evaluation of charging pile metrological performance based on correlation test, characterized in that, the method comprises: S1, obtaining accumulated electric energy measurement data of the charging pile in actual operation to form a preliminary data set; S2, based on the preliminary data set, considering the deviation electric energy and loss electric energy of the charging pile, establishing a metrological performance evaluation parameter of the charging pile group; S3, based on the metrological performance evaluation parameter of the charging pile group, using the method of correlation test to online evaluate the metrological performance of the charging pile, including: S31, the evaluation parameters of the metering performance of the charging pile group at each moment are classified according to the operation combination to form evaluation parameter data sets of different operation combinations ; S32、based on the evaluation parameter data set of different operation combinations, calculating the correlation test statistics of all operation combinations, and determining the correlation test statistics corresponding to all operation combinations values; the correlation test statistic of all operating combinations is calculated by the following formula: ； ； ； In the above formula, is the correlation test statistic for all operating combinations, is the inter-group mean square of the evaluation parameter data set for all operating combinations, is the intra-group mean square of the evaluation parameter data set for all operating combinations, is the number of data contained in is the variance of different is the mean variance of is the total number of charging piles, is the variance of is the mean of S33, judging whether there is a significant difference in the distribution of the evaluation parameter data set of different operation combinations according to the corresponding value of the correlation test statistic of all operation combinations If there is no significant difference, it is judged that the measurement performance of all charging piles is normal, and if there is a significant difference, all operation combinations are sorted in descending order according to the size of the mean value of the evaluation parameter data set of the operation combination, and the first operation combination with the largest mean value is the operation combination with a suspected abnormal charging pile. S34, calculate the comprehensive score of the measurement performance evaluation of the charging pile in the working state in all the put-in operation combinations of the suspected abnormal charging pile, and compare the comprehensive score of the measurement performance evaluation of the charging pile with the threshold value of the measurement performance evaluation score By contrast, if the comprehensive score of the measurement performance evaluation of the charging pile does not exceed the threshold value, it is determined that the measurement performance of the charging pile is normal, if the comprehensive score of the measurement performance evaluation of the charging pile exceeds the threshold value, the charging pile is identified as an abnormal charging pile in measurement performance, and the online evaluation of the measurement performance of the charging pile is completed. the comprehensive score of the metrological performance evaluation of the charging pile in working state is calculated by the following formula: ； ； ； In the above formula, the comprehensive score of the charging pile in the working state, the working frequency of the charging pile, the total evaluation score of the charging pile in all operating combinations, the total number of charging piles, the evaluation score of the charging pile in the operating combination, the average value, the working state of the charging pile in the operating combination, the working state of the charging pile in the operating combination.​​​​​​​ 2.The method for online evaluation of charging pile metrological performance based on correlation test according to claim 1, characterized in that, in S2, the metrological performance evaluation parameter of the charging pile group is calculated by the following formula: ； ； In the above formula, is the time is the evaluation parameter of the metering performance of the charging pile group at the time, is the time is the electric energy metering data of the total metering table at the time, is the number of electric energy metering times, is the number of charging piles in operation, is the time is the electric energy metering data of the charging pile at the time, is the loss coefficient of the charging pile, is the metering deviation coefficient of the charging pile . 3.A system for online evaluation of charging pile metrological performance based on correlation test, characterized in that, the system comprises a data acquisition module, an evaluation parameter establishment module and a performance evaluation module; the data acquisition module is used to obtain accumulated electric energy measurement data of the charging pile in actual operation to form a preliminary data set; the evaluation parameter establishment module is used to, based on the preliminary data set, considering the deviation electric energy and loss electric energy of the charging pile, establish a metrological performance evaluation parameter of the charging pile group; the performance evaluation module is used to, based on the metrological performance evaluation parameter of the charging pile group, using the method of correlation test to online evaluate the metrological performance of the charging pile, including a data set forming unit, a statistic calculation unit, a data set difference judgment unit and an evaluation score comparison unit; The data set forming unit is configured to form the evaluation parameter data set of the charging pile group at each time according to the operation combination The evaluation parameter data set of the charging pile group at each time is formed according to the operation combination ; The statistical quantity calculation unit is configured to calculate the correlation test statistical quantity of all the operation combinations based on the evaluation parameter data sets of different operation combinations, and determine the correlation test statistical quantity corresponding to all the operation combinations values. the correlation test statistic of all operating combinations is calculated by the following formula: ； ； ； In the above formula, is the correlation test statistic for all operating combinations, is the inter-group mean square of the evaluation parameter data set for all operating combinations, is the intra-group mean square of the evaluation parameter data set for all operating combinations, is the number of data contained in is the mean square of is the total number of charging piles, is the variance of is the mean of​ The dataset difference judgment unit is used to determine the correlation test statistic of all investment combinations. The value is used to determine whether there are significant differences in the distribution of the evaluation parameter datasets for different operation combinations. If there are no significant differences, the metering performance of all charging piles is considered normal. If there are significant differences, all operation combinations are evaluated based on the mean of their evaluation parameter datasets. Sort the values ​​in descending order, and select the ones with the largest mean. The commissioning combination refers to the commissioning combination with suspected metering abnormalities of charging piles; The evaluation score comparison unit is configured to calculate the comprehensive evaluation score of the metering performance of the charging pile in the working state in all the put-into-operation combinations in which the suspected metering abnormal charging pile exists, and compare the comprehensive evaluation score of the metering performance of the charging pile with a metering performance evaluation score threshold In comparison, if the comprehensive evaluation score of the metering performance of the charging pile does not exceed the threshold, it is determined that the metering performance of the charging pile is normal, if the comprehensive evaluation score of the metering performance of the charging pile exceeds the threshold, the charging pile is identified as a charging pile with abnormal metering performance, and the online evaluation of the metering performance of the charging pile is completed. the comprehensive score of the metrological performance evaluation of the charging pile in working state is calculated by the following formula: ； ； ； In the above formula, the evaluation comprehensive score of the charging pile in the working state, the working frequency of the charging pile, the total sum of the evaluation scores of the charging pile in all operating combinations, the total number of charging piles, the evaluation score of the charging pile in the operating combination, the average value, the working state of the charging pile in the operating combination, the working state of the charging pile in the operating combination.​​​​​​​ 4.The system for online evaluation of charging pile metrological performance based on correlation test according to claim 3, characterized in that, in the evaluation parameter establishment module, the metrological performance evaluation parameter of the charging pile group is calculated by the following formula: ； ； In the above formula, is the time is the metering performance evaluation parameter of the charging pile group at time is the time is the electric energy metering data of the electric energy total meter at time is the number of electric energy metering times, is the number of charging piles in operation, is the time is the electric energy metering data of the charging pile at time is the loss coefficient of the charging pile, is the metering deviation coefficient of the charging pile . 5.A device for online evaluation of charging pile metrological performance based on correlation test, characterized in that, it comprises a processor and a memory; the memory is used to store computer program code and transmit the computer program code to the processor; the processor is used to execute the method for online evaluation of charging pile metrological performance based on correlation test according to any one of claims 1-2 according to the instructions in the computer program code. 6.A computer storage medium having a computer program stored thereon, characterized in that: the computer program is executed by the processor to realize the steps of the method for online evaluation of charging pile metrological performance based on correlation test according to any one of claims 1-2.

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