Charging pile metering performance online evaluation method and system based on correlation test

Abstract

The invention discloses a charging pile metering performance online evaluation method and system based on correlation test, and the method comprises the steps: firstly obtaining electric energy metering data accumulated during actual operation of a charging pile, and forming a preparation data set; based on the preparation data set, considering deviation electric energy and loss electric energy of the charging piles, and establishing metering performance evaluation parameters of the charging pile group; and finally, based on the metering performance evaluation parameters of the charging pile group, carrying out online evaluation on the metering performance of the charging piles by adopting a correlation test method. On the basis of the electric energy metering data accumulated during actual operation of the charging pile, the deviation electric energy and the loss electric energy of the charging pile are considered, the metering performance of the charging pile is evaluated online, the charging pile with metering misalignment is positioned in time on the basis of not increasing hardware transformation cost, state evaluation and monitoring of the metering performance of the charging facility in operation are achieved, and the reliability of the charging facility is improved. The intelligent operation and maintenance level of electric vehicle charging facilities is effectively improved, and the accuracy and reliability of electric energy metering of the charging pile are ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of charging piles, and in particular relates to a method and system for online evaluation of charging pile metering performance based on correlation testing. Background Art

[0002] As a core support for new energy vehicles, the construction of charging infrastructure is rapidly developing. By the end of January 2025, the number of charging piles nationwide had exceeded 13 million. As emerging terminals for electricity trading, the metering accuracy of charging piles affects the interests of both users and public service companies. Therefore, to ensure fair and equitable electricity trading, it is necessary to timely monitor the metering performance of charging piles and conduct maintenance on those with abnormal metering.

[0003] With the rapid construction of charging piles, their layout has become scattered and numerous. Traditional charging pile metering performance testing methods rely primarily on professional calibration personnel carrying multiple calibration devices to conduct on-site power outages to test the metering performance of charging piles. These methods suffer from large calibration losses, poor real-time performance, and high costs. If charging piles with metering performance exceeding the specified threshold continue to operate, it will undermine the fairness and justice of the electricity trading market and harm the interests of users and public service companies. Therefore, traditional testing methods can no longer fully meet the requirements of regular charging pile metering performance testing in existing calibration procedures. Summary of the Invention

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

[0005] To achieve the above objectives, the technical solutions of the present invention are as follows:

[0006] In a first aspect, the present invention proposes an online evaluation method for charging pile metering performance based on correlation testing, comprising:

[0007] S1. Obtain the accumulated energy metering data of the charging pile during actual operation to form a preliminary data set ;

[0008] S2. Based on the prepared data set, considering the deviation power and loss power of the charging piles, establish the metering performance evaluation parameters of the charging pile group;

[0009] S3. Based on the metering performance evaluation parameters of the charging pile group, the correlation test method is used to conduct online evaluation of the metering performance of the charging piles.

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

[0011] ;

[0012] ;

[0013] In the above formula, For the moment The metering performance evaluation parameters of the charging pile group are: For the moment The electric energy metering data of the total electric energy meter is is the number of the energy metering moment, is the number of charging piles in operation, For the moment Charging pile Electricity metering data, is the loss coefficient of the charging pile, For charging piles The measurement deviation coefficient.

[0014] The S3 includes:

[0015] S31, the metering performance evaluation parameters of the charging pile group at each moment are calculated according to the operation combination Classify and form evaluation parameter data sets for different commissioning combinations ;

[0016] S32. Based on the evaluation parameter data sets of different operation combinations, calculate the correlation test statistics of all operation combinations and determine the corresponding correlation test statistics of all operation combinations. value;

[0017] S33, according to the correlation test statistics of all operational combinations The distribution of evaluation parameter data sets of different operation combinations is judged to be significant different. If there is no significant difference, the metering performance of all charging piles is judged to be normal. If there is a significant difference, all operation combinations are judged to be normal according to the mean value of their evaluation parameter data sets. of size Sort in descending order, with the largest mean first The operation combination is the operation combination of charging piles with suspected abnormal metering;

[0018] S34. Calculate the comprehensive metering performance evaluation score of the charging piles in working state in all the operation combinations of 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. By comparison, if the comprehensive 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 comprehensive 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.

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

[0020] ;

[0021] ;

[0022] ;

[0023] In the above formula, is the correlation test statistic of all operation combinations, is the inter-group mean square value of the evaluation parameter data set of all operational combinations, is the mean square value within the group of the evaluation parameter data set of all operational combinations, for The number of data contained in For different The mean variance of is the total number of charging piles, for The variance of for The mean of

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

[0025] ;

[0026] ;

[0027] ;

[0028] In the above formula, Charging pile in working state The comprehensive score of the metrological performance evaluation, For charging piles Number of jobs, For all charging piles in the operational combination The total evaluation score of is the total number of charging piles, For the commissioning combination Medium charging pile The evaluation score of for The mean of For the commissioning combination Medium charging pile working status.

[0029] In a second aspect, the present invention proposes an online evaluation system for charging pile metering performance based on correlation testing, comprising a data acquisition module, an evaluation parameter establishment module, and a performance evaluation module;

[0030] The data acquisition module is used to obtain the electric energy metering data accumulated during the actual operation of the charging pile to form a preliminary data set ;

[0031] The evaluation parameter establishment module is used to establish the metering performance evaluation parameters of the charging pile group based on the prepared data set and taking into account the deviation power and loss power of the charging pile;

[0032] The performance evaluation module is used to perform online evaluation of the metering performance of the charging piles based on the metering performance evaluation parameters of the charging pile group using a correlation test method.

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

[0034] ;

[0035] ;

[0036] In the above formula, For the moment The metering performance evaluation parameters of the charging pile group are: For the moment The electric energy metering data of the total electric energy meter is is the number of the energy metering moment, is the number of charging piles in operation, For the moment Charging pile Electricity metering data, is the loss coefficient of the charging pile, For charging piles The measurement deviation coefficient.

[0037] The performance evaluation module includes a data set forming unit, a statistics calculating unit, a data set difference judging unit, and an evaluation score comparing unit;

[0038] The data set forming unit is used to calculate the metering performance evaluation parameters of the charging pile group at each moment according to the operation combination Classify and form evaluation parameter data sets for different commissioning combinations ;

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

[0040] The data set difference judgment unit is used to determine the corresponding correlation test statistics of all operational combinations. The distribution of evaluation parameter data sets of different operation combinations is judged to be significant different. If there is no significant difference, the metering performance of all charging piles is judged to be normal. If there is a significant difference, all operation combinations are judged to be normal according to the mean value of their evaluation parameter data sets. of size Sort in descending order, with the largest mean first The operation combination is the operation combination of charging piles with suspected abnormal metering;

[0041] The evaluation score comparison unit is used to calculate the comprehensive metering performance evaluation score of the charging piles in working state in all the operation combinations of charging piles with suspected metering abnormalities, and compare the comprehensive metering performance evaluation score of the charging pile with the metering performance evaluation score threshold. By comparison, if the comprehensive 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 comprehensive 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 statistics calculation unit, the correlation test statistics of all operation combinations are calculated using the following formula:

[0043] ;

[0044] ;

[0045] ;

[0046] In the above formula, is the correlation test statistic of all operation combinations, is the inter-group mean square value of the evaluation parameter data set of all operational combinations, is the mean square value within the group of the evaluation parameter data set of all operational combinations, for The number of data contained in For different The mean variance of is the total number of charging piles, for The variance of for The mean of

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

[0048] ;

[0049] ;

[0050] ;

[0051] In the above formula, Charging pile in working state The comprehensive score of the metrological performance evaluation, For charging piles Number of jobs, For all charging piles in the operational combination The total evaluation score of is the total number of charging piles, For the commissioning combination Medium charging pile The evaluation score of for The mean of For the commissioning combination Medium charging pile working status.

[0052] In a third aspect, the present invention proposes an online evaluation device for charging pile metering performance based on correlation testing, comprising a processor and a memory;

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

[0054] The processor is configured to execute the aforementioned online evaluation method for charging pile metering performance based on correlation testing according to instructions in the computer program code.

[0055] In a fourth aspect, the present invention provides a computer storage medium having a computer program stored thereon;

[0056] When the computer program is executed by the processor, the steps of the aforementioned method for online evaluation of charging pile metering performance based on correlation test are implemented.

[0057] Compared with the prior art, the present invention has the following beneficial effects:

[0058] The present invention proposes a method and system for online evaluation of charging pile metering performance based on correlation test. The method first obtains the electric energy metering data accumulated during the actual operation of the charging pile to form a preliminary data set. Then, based on the prepared data set, the metering performance evaluation parameters of the charging pile group are established by taking into account the deviation and loss of electric energy of the charging piles. Finally, based on the metering performance evaluation parameters of the charging pile group, the correlation test method is used to conduct an online evaluation of the metering performance of the charging piles. This method is based on the accumulated electric energy metering data of the charging piles during actual operation, taking into account the deviation and loss of electric energy of the charging piles, and conducts an online evaluation of the metering performance of the charging piles. Without increasing the cost of hardware modification, it can timely locate charging piles with inaccurate metering, realize the status evaluation and monitoring of the metering performance of operating charging facilities, effectively improve the intelligent operation and maintenance level of electric vehicle charging facilities, and ensure the accuracy and reliability of charging pile electric energy metering. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 The figure is an overall flow chart of the method of the present invention.

[0060] Figure 2 This is a diagram of the electrical connection topology of the charging station described in Example 1.

[0061] Figure 3 2 is a structural diagram of the system of the present invention.

[0062] Figure 4 This is a structural diagram of the device described in the present invention. DETAILED DESCRIPTION

[0063] The present invention will be further described in detail below with reference to specific embodiments and the accompanying drawings.

[0064] The present invention proposes an online evaluation method and system for the metering performance of charging piles based on correlation test, which obtains the electric energy metering data of the charging piles during operation, eliminates the data with light charging load, and forms a preliminary data set that can be used for the metering performance evaluation of the charging piles; considers the deviation electric energy and loss electric energy of the charging piles, and establishes the metering performance evaluation parameters of the charging pile group; adopts binary coding to construct the mathematical expression of the commissioning combination of the charging piles, and classifies the metering performance evaluation parameters of the charging pile group at each moment according to the commissioning combination, to form an evaluation parameter data set of different commissioning combinations; based on the evaluation parameter data set of different commissioning combinations of the charging pile group, combined with significance test and mean comparison, a correlation test of the commissioning combination evaluation parameter data is carried out, and the metering performance of the charging piles is evaluated online, which can not only greatly improve the verification efficiency and reduce the supervision cost, but also solve the problem that the traditional charging pile metering performance evaluation has time error, resulting in the continuous operation of charging piles with inaccurate metering.

[0065] Example 1:

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

[0067] 1. Obtain the energy metering data accumulated during the actual operation of the charging pile, eliminate the energy metering data with light charging load, and form a preliminary data set that can be used for charging pile metering performance evaluation ;

[0068] The electrical connection topology of the total energy meter and charging pile in the charging station is as follows: Figure 2 As shown in the figure, a charging pile refers to a charging pile with a transformer-mounted energy meter at the charging station. The transformer-mounted energy meter and the charging pile both have energy metering functions, and the power supply line radiates power from the energy meter to all charging piles.

[0069] The energy metering data at each moment includes the total energy meter and the energy metering data of all charging piles at that moment. According to the actual model and specifications of the charging pile, the energy metering data of the charging load is limited to light load. That is, if the light load factor of a charging pile is 10%, then when the load at the current moment is 10% of the rated power, the load at the current moment is considered to be light load. The total energy meter and the energy metering data of all charging piles at the current moment are deleted, and a preliminary data set that can be used for charging pile metering performance evaluation is obtained. ;

[0070] 2. Based on the prepared data set, considering the deviation and loss of charging piles, establish the metering performance evaluation parameters of the charging pile group;

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

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

[0073] ;

[0074] In the above formula, For the moment The electric energy metering data of the total electric energy meter is is the number of the energy metering moment, is the number of charging piles in operation, For the moment Charging pile Electricity metering data, For the moment Charging pile The deviation energy, For charging piles The measurement deviation coefficient, is the loss coefficient of the charging pile, set , the value is fixed and depends on the model and specifications of the charging pile;

[0075] Based on the electric energy conservation equation, the metering performance evaluation parameters of the charging pile group are calculated using the following formula:

[0076] ;

[0077] In the above formula, For the moment The metering performance evaluation parameters of the charging pile group are: For the moment Charging pile The loss of electrical energy;

[0078] For a DC charging station with 5 charging piles, The energy metering data of the total energy meter is , charging pile The electricity metering data is , assuming the moment There are two charging piles in the DC charging station, numbered 1 and 4, and the corresponding measurement deviation coefficients are 、 The charging piles in the same charging station are all purchased from the same model, so the loss coefficients of charging piles No. 1 and No. 4 are both , the electric energy conservation equation is constructed as follows:

[0079] ;

[0080] The metering performance evaluation parameters for the group consisting of charging piles No. 1 and No. 4 are:

[0081] .

[0082] 3. Use binary coding to construct the mathematical expression of the charging pile operation combination, and classify the metering performance evaluation parameters of the charging pile group at each moment according to the operation combination to form the evaluation parameter data set of different operation combinations ;

[0083] For a specific number of charging piles, In a DC charging station, the operating status of each charging pile is divided into two types: working and standby. Using binary coding, the charging pile in working state is assigned "1" and the charging pile in standby state is assigned "0". The mathematical expression of all charging piles in the DC charging station under different operation combinations is: There should be 31, specifically Taking the No. 1 and No. 4 charging piles as an example, this operation combination is recorded as , the operational combination The measurement performance evaluation parameters corresponding to the operating time are summarized into the evaluation parameter data set of the operation combination In the example, we record the evaluation parameter dataset The number of data contained in .

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

[0085] Based on the correlation between charging pile groups, charging pile metering performance evaluation parameters are proposed, and then the correlation test is used to determine the correlation between the evaluation parameter values ​​and the abnormal charging piles.

[0086] Combined with the significance test and mean comparison, the numerical differences of the evaluation parameter data sets between different operation combinations are analyzed, including: using ANOVA test as the specific execution method of significance test to detect the differences between different operation combinations. Corresponding evaluation parameter dataset Is there a significant difference, that is, whether there is correlation? If there is a significant difference, it means that the different evaluation parameter data sets are correlated, otherwise it means that the different evaluation parameter data sets are not correlated; mean comparison is used to analyze the evaluation parameter data sets of different commissioning combinations The degree of correlation, that is, calculating the mean of the evaluation parameters of each operation combination , an evaluation score is given based on the mean value, and then the abnormal charging pile is located;

[0087] The following formula is used to calculate the correlation test statistics of all the operation combinations, and by looking up the F distribution table, the corresponding correlation test statistics of all the operation combinations are determined. value:

[0088] ;

[0089] ;

[0090] ;

[0091] In the above formula, is the correlation test statistic of all operation combinations, is the inter-group mean square value of the evaluation parameter data set of all operational combinations, is the mean square value within the group of the evaluation parameter data set of all operational combinations, for The number of data contained in For different The mean variance of is the total number of charging piles, for The variance of for The mean of

[0092] According to the correlation test statistics of all operation combinations The value is used to determine whether there is a significant difference in the distribution of the evaluation parameter data sets of different commissioning combinations. If there is no significant difference, that is, If the value is not less than the significance level of 0.05, it is judged that the metering performance of all charging piles is normal. If there is a significant difference, that is, If the value is less than the significance level of 0.05, all the operation combinations are calculated according to the mean of their evaluation parameter data sets. of size Sort in descending order, with the largest mean first The operation combination is the operation combination of charging piles with suspected abnormal metering;

[0093] A charging pile metering performance scoring system is proposed, and the mean value in the correlation test is As the metering performance evaluation weight of the charging pile in the corresponding operation combination, the operation combination of the No. 1 and No. 4 charging piles is For example, the metering performance evaluation score under this operation combination is:

[0094] ;

[0095] In the above formula, For the commissioning combination The metering performance evaluation score of the No. 1 and No. 4 charging piles in working state at this time corresponds to the evaluation score for , the evaluation scores of the remaining charging piles are 0;

[0096] Further calculate the comprehensive metering performance evaluation scores of all charging piles in operation that are suspected of metering anomalies:

[0097] ;

[0098] ;

[0099] ;

[0100] In the above formula, Charging pile in working state The comprehensive score of the metrological performance evaluation, For charging piles Number of jobs, For all charging piles in the operational combination The total evaluation score of is the total number of charging piles, For the commissioning combination Medium charging pile The evaluation score of for The mean of For the commissioning combination Medium charging pile Working status;

[0101] Based on the historical data set of charging piles with normal metering performance, obtain the metering performance evaluation score threshold of normal charging piles The comprehensive score of the metering performance evaluation of the charging pile is compared with the metering performance evaluation score threshold. By comparison, if the comprehensive 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 comprehensive 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.

[0102] Example 2:

[0103] like Figure 3 As shown in FIG, the online evaluation system for charging pile metering performance 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 obtain the electric energy metering data accumulated during the actual operation of the charging pile to 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 prepared data set and taking into account the deviation power and loss power of the charging pile;

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

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

[0108] ;

[0109] ;

[0110] In the above formula, For the moment The metering performance evaluation parameters of the charging pile group are: For the moment The electric energy metering data of the total electric energy meter is is the number of the energy metering moment, is the number of charging piles in operation, For the moment Charging pile Electricity metering data, is the loss coefficient of the charging pile, For charging piles The measurement deviation coefficient.

[0111] The performance evaluation module includes a data set forming unit, a statistics calculating unit, a data set difference judging unit, and an evaluation score comparing unit;

[0112] The data set forming unit is used to calculate the metering performance evaluation parameters of the charging pile group at each moment according to the operation combination Classify and form evaluation parameter data sets for different commissioning combinations ;

[0113] The statistics calculation unit is used to calculate the correlation test statistics of all the operation combinations based on the evaluation parameter data sets of different operation combinations, and determine the corresponding correlation test statistics of all the operation combinations. value;

[0114] The data set difference judgment unit is used to determine the corresponding correlation test statistics of all operational combinations. The distribution of evaluation parameter data sets of different operation combinations is judged to be significant different. If there is no significant difference, the metering performance of all charging piles is judged to be normal. If there is a significant difference, all operation combinations are judged to be normal according to the mean value of their evaluation parameter data sets. of size Sort in descending order, with the largest mean first The operation combination is the operation combination of charging piles with suspected abnormal metering;

[0115] The evaluation score comparison unit is used to calculate the comprehensive metering performance evaluation score of the charging piles in working state in all the operation combinations of charging piles with suspected metering abnormalities, and compare the comprehensive metering performance evaluation score of the charging pile with the metering performance evaluation score threshold. By comparison, if the comprehensive 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 comprehensive 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.

[0116] In the statistics calculation unit, the correlation test statistics of all operation combinations are calculated using the following formula:

[0117] ;

[0118] ;

[0119] ;

[0120] In the above formula, is the correlation test statistic of all operation combinations, is the inter-group mean square value of the evaluation parameter data set of all operational combinations, is the mean square value within the group of the evaluation parameter data set of all operational combinations, for The number of data contained in For different The mean variance of is the total number of charging piles, for The variance of for The mean of

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

[0122] ;

[0123] ;

[0124] ;

[0125] In the above formula, Charging pile in working state The comprehensive score of the metrological performance evaluation, For charging piles Number of jobs, For all charging piles in the operational combination The total evaluation score of is the total number of charging piles, For the commissioning combination Medium charging pile The evaluation score of for The mean of For the commissioning combination Medium charging pile working status.

[0126] Example 3:

[0127] like Figure 4 As shown, the online evaluation device for charging pile metering performance based on correlation test includes a processor and a memory;

[0128] The memory is used to store computer program code and transmit the computer program code to the processor;

[0129] The processor is configured to execute the online evaluation method for charging pile metering performance based on correlation testing described in Example 1 according to the instructions in the computer program code.

[0130] Example 4:

[0131] A computer storage medium having a computer program stored thereon;

[0132] When the computer program is executed by the processor, the steps of the online evaluation method of charging pile metering performance based on correlation test described in this solution are implemented.

Claims

1. An online evaluation method for charging pile metering performance based on correlation test, characterized in that: The method comprises: S1. Obtain the accumulated energy metering data of the charging pile during actual operation to form a preliminary data set ; S2. Based on the prepared data set, considering the deviation power and loss power of the charging piles, establish the metering performance evaluation parameters of the charging pile group; S3. Based on the metering performance evaluation parameters of the charging pile group, the correlation test method is used to conduct online evaluation of the metering performance of the charging piles.

2. The online evaluation method for charging pile metering performance based on correlation test according to claim 1 is characterized in that: In S2, the metering performance evaluation parameter of the charging pile group is calculated using the following formula: ； ； In the above formula, For the moment The metering performance evaluation parameters of the charging pile group are: For the moment The electric energy metering data of the total electric energy meter is is the number of the energy metering moment, is the number of charging piles in operation, For the moment Charging pile Electricity metering data, is the loss coefficient of the charging pile, For charging piles The measurement deviation coefficient.

3. The online evaluation method for charging pile metering performance based on correlation test according to claim 1 is characterized in that: The S3 includes: S31, the metering performance evaluation parameters of the charging pile group at each moment are calculated according to the operation combination Classify and form evaluation parameter data sets for different commissioning combinations ; S32. Based on the evaluation parameter data sets of different operation combinations, calculate the correlation test statistics of all operation combinations and determine the corresponding correlation test statistics of all operation combinations. value; S33, according to the correlation test statistics of all operational combinations The distribution of evaluation parameter data sets of different operation combinations is judged to be significant different. If there is no significant difference, the metering performance of all charging piles is judged to be normal. If there is a significant difference, all operation combinations are judged to be normal according to the mean value of their evaluation parameter data sets. of size Sort in descending order, with the largest mean first The operation combination is the operation combination of charging piles with suspected abnormal metering; S34. Calculate the comprehensive metering performance evaluation score of the charging piles in working state in all the operation combinations of 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. By comparison, if the comprehensive 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 comprehensive 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.

4. The online evaluation method for charging pile metering performance based on correlation test according to claim 3 is characterized in that: In S32, the correlation test statistics of all the operational combinations are calculated using the following formula: ； ； ； In the above formula, is the correlation test statistic of all operation combinations, is the inter-group mean square value of the evaluation parameter data set of all operational combinations, is the mean square value within the group of the evaluation parameter data set of all operational combinations, for The number of data contained in For different The mean variance of is the total number of charging piles, for The variance of for The mean of In S34, the comprehensive score of the metering performance evaluation of the charging pile in working state is calculated using the following formula: ； ； ； In the above formula, Charging pile in working state The comprehensive score of the metrological performance evaluation, For charging piles Number of jobs, For all charging piles in the operational combination The total evaluation score of is the total number of charging piles, For the commissioning combination Medium charging pile The evaluation score of for The mean of For the commissioning combination Medium charging pile working status.

5. The online evaluation system of charging pile metering performance based on correlation test is characterized by: The system includes a data acquisition module, an evaluation parameter establishment module, and a performance evaluation module; The data acquisition module is used to obtain the electric energy metering data accumulated during the actual operation of the charging pile to form a preliminary data set ; The evaluation parameter establishment module is used to establish the metering performance evaluation parameters of the charging pile group based on the prepared data set and taking into account the deviation power and loss power of the charging pile; The performance evaluation module is used to perform online evaluation of the metering performance of the charging piles based on the metering performance evaluation parameters of the charging pile group using a correlation test method.

6. The online evaluation system for charging pile metering performance based on correlation test according to claim 5 is characterized in that: In the evaluation parameter establishment module, the metering performance evaluation parameter of the charging pile group is calculated using the following formula: ； ； In the above formula, For the moment The metering performance evaluation parameters of the charging pile group are: For the moment The electric energy metering data of the total electric energy meter is is the number of the energy metering moment, is the number of charging piles in operation, For the moment Charging pile Electricity metering data, is the loss coefficient of the charging pile, For charging piles The measurement deviation coefficient.

7. The online evaluation system for charging pile metering performance based on correlation test according to claim 5 is characterized in that: The performance evaluation module includes a data set forming unit, a statistics calculating unit, a data set difference judging unit, and an evaluation score comparing unit; The data set forming unit is used to calculate the metering performance evaluation parameters of the charging pile group at each moment according to the operation combination Classify and form evaluation parameter data sets for different commissioning combinations ; The statistics calculation unit is used to calculate the correlation test statistics of all the operation combinations based on the evaluation parameter data sets of different operation combinations, and determine the corresponding correlation test statistics of all the operation combinations. value; The data set difference judgment unit is used to determine the corresponding correlation test statistics of all operational combinations. The distribution of evaluation parameter data sets of different operation combinations is judged to be significant different. If there is no significant difference, the metering performance of all charging piles is judged to be normal. If there is a significant difference, all operation combinations are judged to be normal according to the mean value of their evaluation parameter data sets. of size Sort in descending order, with the largest mean first The operation combination is the operation combination of charging piles with suspected abnormal metering; The evaluation score comparison unit is used to calculate the comprehensive metering performance evaluation score of the charging piles in working state in all the operation combinations of charging piles with suspected metering abnormalities, and compare the comprehensive metering performance evaluation score of the charging pile with the metering performance evaluation score threshold. By comparison, if the comprehensive 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 comprehensive 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.

8. The online evaluation system for charging pile metering performance based on correlation test according to claim 7 is characterized in that: In the statistics calculation unit, the correlation test statistics of all operation combinations are calculated using the following formula: ； ； ； In the above formula, is the correlation test statistic of all operation combinations, is the inter-group mean square value of the evaluation parameter data set of all operational combinations, is the mean square value within the group of the evaluation parameter data set of all operational combinations, for The number of data contained in For different The mean variance of is the total number of charging piles, for The variance of for The mean of In the evaluation score comparison unit, the comprehensive score of the metering performance evaluation of the charging pile in working state is calculated using the following formula: ； ； ； In the above formula, Charging pile in working state The comprehensive score of the metrological performance evaluation, For charging piles Number of jobs, For all charging piles in the operational combination The total evaluation score of is the total number of charging piles, For the commissioning combination Medium charging pile The evaluation score of for The mean of For the commissioning combination Medium charging pile working status.

9. Charging pile metering performance online evaluation equipment based on correlation test, characterized by: including 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 configured to execute the online evaluation method for charging pile metering performance based on correlation testing according to any one of claims 1 to 4 according to the instructions in the computer program code.

10. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the online evaluation method for charging pile metering performance based on correlation test according to any one of claims 1 to 4 are implemented.

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