A charging pile group error characteristic control method and device based on statistical testing, equipment and medium

Abstract

The application provides a charging pile group error characteristic control method and device based on statistical testing, equipment and a medium, comprising: S101, calculating a virtual verification standard value in a charging pile group measurement guarantee scheme; S102, calculating process parameters of the virtual verification standard in the charging pile group measurement guarantee scheme based on the virtual verification standard value; S103, controlling the error characteristics of the charging pile group according to the process parameters of the virtual verification standard; in the control process, if it is found that the error of all piles in the charging pile group exceeds the control limit, the process parameters of the virtual verification standard in the charging pile group measurement guarantee scheme are modified. The advantage lies in: the error characteristics of the charging pile group are monitored, the errors of each pile in the charging pile group are monitored, the effectiveness of the virtual verification standard is ensured, and the efficiency of the charging pile determination is greatly improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of charging pile verification process control, and particularly relates to a charging pile group error characteristic control method and device, equipment and a medium. BACKGROUND

[0002] At present, the number of new energy electric vehicles is growing, and the operation and service of electric vehicle charging facilities are increasingly concerned, mainly reflected in the measurement accuracy and charging safety of charging facilities, and the accuracy of charging facility measurement directly determines the fairness and reliability of charging trade settlement, and ultimately determines whether the electric vehicle industry can develop healthily.

[0003] The measurement assurance program (MAP) refers to the quality assurance program of the measurement process. This program can quantitatively determine the total measurement uncertainty (including random error and systematic error components) of the measurement process relative to the national benchmark or other specified standards, and verify whether the total uncertainty meets the user requirements. The measurement assurance program system refers to a management system that ensures the quality of the measurement process through a series of planned and systematic activities, so that the measurement results can meet the predetermined requirements. Its advantages are:

[0004] Improve measurement quality: through a closed-loop feedback mechanism, the entire measurement process is comprehensively evaluated to ensure the accuracy and consistency of value transmission.

[0005] Reduce costs: simplifying the application of the measurement assurance program can reduce implementation costs while ensuring measurement quality.

[0006] Enhance traceability: establish a complete measurement chain to ensure that measurement results can be traced back to national or international standards.

[0007] However, the existing charging pile verification is divided into manual verification and data-driven verification methods. Manual verification faces problems such as high cost, low efficiency, heavy workload, and personnel shortage, and is not suitable for massive charging pile verification. Using data-driven verification is an effective way to improve the efficiency of massive charging pile verification. The current data-driven verification methods include methods based on energy conservation and methods based on vehicle-pile data interaction, but these methods still follow the traditional single verification idea, and the error calculation algorithm is used as a virtual measuring instrument, which cannot continuously monitor the error change trend of the charging pile group, and it is difficult to effectively guarantee the continuous control of the error characteristics of the charging pile in daily use.

[0008] Therefore, how to monitor the error characteristics of the charging pile group, monitor the error of each pile in the charging pile group, ensure the effectiveness of the virtual verification standard, and improve the efficiency of charging pile verification has become a technical problem to be solved. SUMMARY

[0009] The technical problem to be solved by this invention is to provide a method, device, equipment, and medium for controlling the error characteristics of charging pile groups. Based on a metering assurance scheme, it utilizes the total energy measurement data of the charging station's main meter and the energy measurement data of each pile in the charging pile group to establish a virtual verification standard value based on energy conservation, and then calculates process parameters, including the group mean. Within-group standard deviation Between-group mean A c Between-group standard deviation S B Combined standard deviation S P This forms a virtual verification standard model; by calculating the mean within the group... within-group standard deviation The t-test and F-test are performed to control the error characteristics of the charging pile group, determine whether manual verification and calibration of the charging piles are required, and update the control process of the charging pile group in the metrology assurance scheme system through manual verification of the sampling plan or the built-in standard module.

[0010] In a first aspect, the present invention provides a method for controlling the error characteristics of charging pile groups based on statistical testing, comprising the following steps:

[0011] S101. Calculate the virtual verification standard value in the charging pile group metering guarantee scheme. The calculation method is as follows: ;

[0012] In the formula, the subscript k represents the kth calculation, where k≥2; A i It is a matrix β The i Each element represents the solution error coefficient for the i-th charging pile; the matrix... β This refers to the solution error coefficient matrix of each charging station in the charging station group. β The calculation formula is: ;

[0013] In the formula, superscript T Indicates matrix transpose; matrix E and E t They are respectively: , ;

[0014] Among them, matrix E t medium elements E tx The total power meter of the charging station is on the first x Readings at each moment; ε 0 represents fixed losses within the charging station; 1 represents fixed losses within the charging station. N×1is a N-row 1-column all-1 matrix; matrix E middle element E xi is the reading of the i th pile at the x th time point; η i is the AC-DC conversion efficiency of the i th pile, if it is an AC pile, then η i =1; one measurement contains N time points, x = 1, 2,... N; at each time point, the data of n piles are measured i = 1, 2,... n ; wherein, the number of time points N>the number of charging piles n;

[0015] S102, based on the virtual verification standard value, calculate the process parameter of the virtual verification standard in the charging pile group measurement guarantee scheme, the charging pile group is divided into J charging pile groups, for the jth charging pile group, 1≤j≤J, then the process parameter of the virtual verification standard in the charging pile group measurement guarantee scheme includes the group mean , the group standard deviation , the inter-group mean A c , the inter-group standard deviation S B , the combined standard deviation S P；

[0016] The calculation method of the group mean of the jth charging pile group is: ;

[0017] In the formula, M is the number of measurements in the group, 2≤M≤k; is the verification standard recognized value obtained by the jth charging pile group in the kth measurement, and the calculation method is: ;

[0018] The calculation method of the group standard deviation of the jth charging pile group is: ;

[0019] The coarse error detection formula for each verification standard recognized value is: ;

[0020] In the formula, is the Grubbs criterion critical value; if the coarse error detection formula is established, a set of measurement data is formed, otherwise, the data should be rejected and measured again;

[0021] The calculation method of the inter-group mean A c is: ;

[0022] J is the number of measurement groups;

[0023] Inter-group standard deviation S B The calculation method is: ;

[0024] Combined standard deviation S P The calculation method is: ;

[0025] S103, control the error characteristics of the charging pile group according to the process parameters of the virtual verification standard; in the control process, if it is found that the error of all piles of the charging pile group exceeds the control limit, the process parameters of the virtual verification standard in the measurement assurance scheme of the charging pile group are modified;

[0026] The charging pile group is divided into J charging pile groups, for the jth charging pile group, 1≤j≤J, the method for process control of the error characteristics of the charging pile group by the process parameters of the virtual verification standard includes:

[0027] (1) When a new measurement is added, it is recorded as the mth measurement of the jth group, 1≤m≤M, calculate the virtual verification standard value of this time ; k ; , 1≤m≤M, calculate the virtual verification standard value of this time k ; ; ;

[0028] Until M measurements are accumulated to perform gross error detection and form a group of measurement data;

[0029] (2) Calculate the group mean and the group standard deviation : ; ;

[0030] (3) Perform t-test and F-test: ; ;

[0031] Where t p (P-1) represents the t distribution critical value with a confidence probability P and a degree of freedom of P-1;

[0032] F (P-1) represents the F distribution critical value with a significance level α and degrees of freedom of P-1 and P-2, respectively;

[0033] If and only if both of the above conditions in (3) are met, it is considered that the error of all charging piles in the charging pile group has not exceeded the control limit, that is, the normal use requirement is met; otherwise, it is considered that the error of at least one pile in the charging pile group has exceeded the tolerance, triggering the correction process: ; ;

[0034] In the formula, A2(M) and D4(M) are given by querying the control limit factor table.

[0035] Furthermore, the correction process includes:

[0036] For T charging piles in the charging pile group, manual verification or installation of standard power modules is performed. M measurements are then taken on these T piles to obtain the error verification value d for each of the T piles. yz y = 1, 2, ..., T, 1 ≤ T <N;z=1,2,…,M,

[0037] Calculate its mean A c 'and standard deviation S c ': ; ;

[0038] If the t-statistic ,and S c '≤ S c If the process parameters of the virtual verification standard are controlled, no modification is needed; otherwise, modification is required. A c for A c '.

[0039] Secondly, the present invention provides a charging pile group error characteristic control device based on statistical testing, comprising:

[0040] The simulated verification standard value calculation module is used to calculate the virtual verification standard value in the charging pile group metering guarantee scheme. The calculation method for the virtual verification standard value in the charging pile group metering guarantee scheme is as follows: ;

[0041] In the formula, the subscript k represents the kth calculation, where k≥2; A i It is a matrix β The i Each element represents the solution error coefficient for the i-th charging pile; the matrix... β This refers to the solution error coefficient matrix of each charging station in the charging station group. β The calculation formula is: ;

[0042] In the formula, superscript T Indicates matrix transpose; matrix E and E t They are respectively: , ;

[0043] Among them, matrix E t medium elements E tx The total power meter of the charging station is on the first x Readings at each moment; ε 0 represents fixed losses within the charging station; 1 represents fixed losses within the charging station. N×1 It is an N x 1 matrix consisting entirely of 1s; E medium elements E xi For the first in the charging station i The first pile x Readings at each moment; η i For the first i The AC / DC conversion efficiency of each pile, if it is an AC pile, then η i =1; A single measurement contains N time points. x = 1, 2,... N; A total of measurements were taken at each time point. n Data for individual piles i = 1, 2,... n Where the number of time points N > the number of charging piles n;

[0044] The process parameter calculation module is used to calculate the process parameters of the virtual verification standard in the charging pile group metering guarantee scheme based on the virtual verification standard value. The charging pile group is divided into J charging pile groups. For the j-th group of charging piles, 1≤j≤J. Then, the process parameters of the virtual verification standard in the charging pile group metering guarantee scheme include the mean value within the group. Within-group standard deviation Between-group mean A c Between-group standard deviation S B Combined standard deviation S P ;

[0045] The mean value within the j-th group of charging piles The calculation method is as follows: ;

[0046] In the formula, M is the number of measurements within the group, and 2≤M≤k; The verification standard acceptance value obtained from the k-th measurement of the j-th group of charging piles is calculated as follows: ;

[0047] Within-group standard deviation of charging piles in group j The calculation method is as follows: ;

[0048] Gross error testing is performed on the acceptable values ​​of each verification standard. The gross error testing formula is as follows: ;

[0049] In the formula, This is the critical value of the Grubbs criterion; if the gross error test formula holds, a set of measurement data is formed; otherwise, it should be discarded and supplemented with new data.

[0050] Between-group means A c The calculation method is as follows: ;

[0051] In the formula, J is the number of measurement groups;

[0052] Between-group standard deviation S B The calculation method is as follows: ;

[0053] The error characteristic control and correction module is used to control the error characteristics of the charging pile group according to the process parameters of the virtual verification standard. During the control process, if it is found that the error of all piles in the charging pile group exceeds the control limit, the process parameters of the virtual verification standard in the metering guarantee scheme of the charging pile group are corrected.

[0054] The method for controlling the error characteristics of charging pile groups using the process parameters of the virtual verification standard includes:

[0055] (1) When a new measurement is added, it is recorded as the first measurement. Group 1 k Second measurement, ,1≤ k ≤M, calculate the standard value for this virtual verification. ; ;

[0056] Gross error checks are performed and a set of measurement data is formed after a cumulative total of M measurements.

[0057] (2) Calculate the mean within the group within-group standard deviation : ; ;

[0058] (3) Perform t-test and F-test: ; ;

[0059] In the formula, t p (P-1) represents the critical value of the t-distribution with P-1 degrees of freedom under confidence probability P;

[0060] representing the critical value of F distribution at the significance level α, and the degrees of freedom are

[0061] The charging pile group is considered to have no error exceeding the control limit, i.e., to meet the normal use requirements, only when the two formulas in (3) are satisfied; otherwise, it is considered that at least one pile in the charging pile group has error exceeding the control limit, and the correction process is triggered:

[0062] In the formula, A2(M) and D4(M) are given by the query calculation control limit factor table.

[0063] Further, the correction process includes:

[0064] The T piles in the charging pile group are artificially calibrated or installed with standard electric energy modules, and the error calibration values of the T piles are obtained by measuring the T piles M times, and the error calibration values of the T piles are d yz , y=1, 2, …, T, 1≤T<N; z=1, 2, …, M,

[0065] Calculate the mean A c and the standard deviation S c :

[0066] If the t-statistic , and S c ≤ S c , the process parameters of the virtual verification standard are controlled, and do not need to be corrected; otherwise, correct A c to A c .

[0067] In a third aspect, the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to realize the method of the first aspect.

[0068] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, wherein the program is executed by a processor to realize the method of the first aspect.

[0069] ​​​​​The one or more technical solutions provided by the application have at least the following technical effects or advantages: the idea of a metering guarantee scheme is introduced into the metering verification of a charging pile group, the total metering data of the charging station and the metering data of each pile in the pile group are used, a virtual verification standard value is established based on energy conservation, process parameters of the virtual verification standard are calculated, a virtual verification standard model is formed, the error characteristics of the charging pile group are monitored, the errors of each pile in the pile group are continuously monitored in a closed loop control manner, the control process of the charging pile group in the metering guarantee scheme system is updated through manual verification or installation of a standard module in a sampling scheme, the effectiveness of the virtual verification standard is ensured, and the efficiency of the charging pile verification is improved.

[0070] The above description is only a summary of the technical solutions of the application. In order to enable one skilled in the art to better understand the technical means of the application and implement the same according to the contents of the specification, and in order to make the above and other purposes, characteristics and advantages of the application more apparent and easy to understand, the specific embodiments of the application are described below. BRIEF DESCRIPTION OF DRAWINGS

[0071] The application will be further described below with reference to the embodiments and the accompanying drawings.

[0072] Figure 1 The flowchart of the method of the application is shown in the figure.

[0073] Figure 2 The schematic diagram of the device module of the application is shown in the figure.

[0074] Figure 3 The schematic diagram of the equipment of the application is shown in the figure.

[0075] Figure 4 The schematic diagram of the medium of the application is shown in the figure. DETAILED DESCRIPTION

[0076] The embodiments of the application provide a charging pile group error characteristic control method and device based on statistical verification, equipment and medium, and the general idea is as follows: based on a metering guarantee scheme system, the total metering data of the charging station and the metering data of each pile in the pile group are used, a virtual verification standard value is established based on energy conservation, and then process parameters are calculated, including group mean , group standard deviation , inter-group mean A c , inter-group standard deviation S B , combined standard deviation S P , and a virtual verification standard model is formed; the group mean and the group standard deviation t-tests and F-tests are performed to control the error characteristics of the charging pile group, determine whether manual verification and calibration of the charging piles are required, and update the control process of the charging pile group in the metrology assurance scheme system through manual verification of the sampling plan or the built-in standard module to ensure the continuous effectiveness of error control.

[0077] Example 1

[0078] This embodiment provides a method for controlling the error characteristics of charging pile groups based on statistical tests, such as... Figure 1 As shown, it includes the following steps:

[0079] S101. Based on the law of conservation of energy, calculate the virtual verification standard value in the charging pile group metering guarantee scheme. The calculation method for the virtual verification standard value in the charging pile group metering guarantee scheme is as follows: ;

[0080] In the formula, the subscript k represents the kth calculation, where k≥2; A i It is a matrix β The i Each element represents the solution error coefficient for the i-th charging pile; the matrix... β This refers to the solution error coefficient matrix of each charging station in the charging station group. β The calculation formula is: ;

[0081] In the formula, superscript T Indicates matrix transpose; matrix E and E t They are respectively: , ;

[0082] Among them, matrix E t Middle elements E tx The total power meter of the charging station is on the first x Readings at each moment; ε 0 represents fixed losses within the charging station; 1 represents fixed losses within the charging station. N×1 It is an N x 1 matrix consisting entirely of 1s; E Middle elements E xi For the first in the charging station i The first pile x Readings at each moment; η i For the first i The AC / DC conversion efficiency of each pile, if it is an AC pile, then η i =1; A single measurement contains N time points. x = 1, 2,... N; A total of measurements were taken at each time point.n Data of the pile i = 1, 2,... n ; wherein the number of time points N > the number of charging piles n;

[0083] The overall error characteristics of the charging pile group are dynamically captured through matrix operation, avoiding the dependence on single time point data, and the robustness of the error model is significantly improved.

[0084] In S102, process parameters of the virtual verification standard in the charging pile group metrology guarantee scheme are calculated based on the virtual verification standard value, the charging pile group is divided into J charging pile groups, for the jth charging pile group, 1≤j≤J, the process parameters of the virtual verification standard in the charging pile group metrology guarantee scheme include the group mean , the group standard deviation , the inter-group mean A c , the inter-group standard deviation S B , and the combined standard deviation S P ;

[0085] Wherein the calculation method of the group mean of the jth charging pile group is as follows: ;

[0086] In the formula, M is the number of measurements in the group, 2≤M≤k; is the verification standard recognized value obtained by the jth charging pile group in the kth measurement, and the calculation method is as follows: ;

[0087] The calculation method of the group standard deviation of the jth charging pile group is as follows: ;

[0088] The coarse error test formula for each verification standard recognized value is as follows: ;

[0089] In the formula, is the Grubbs criterion critical value; if the coarse error test formula is established, a set of measurement data is formed, otherwise, the data should be rejected and the data should be supplemented;

[0090] The calculation method of the inter-group mean A c is as follows: ;

[0091] In the formula, J is the number of measurement groups;

[0092] The calculation method of the inter-group standard deviation S B is as follows: ;

[0093] Combined standard deviationS P The calculation method is: ;

[0094] Through the sliding window statistical method, the process parameters are dynamically updated to ensure that the model adapts to the long-term operation changes (such as equipment aging or environmental fluctuations) of the charging pile group.

[0095] S103, controlling the error characteristics of the charging pile group according to the process parameters of the virtual verification standard; during the control process, if it is found that the errors of all piles in the charging pile group exceed the control limit, the process parameters of the virtual verification standard in the measurement assurance scheme of the charging pile group are modified.

[0096] The charging pile group is divided into J charging pile groups, for the jth charging pile group, 1≤j≤J, the method for controlling the error characteristics of the charging pile group by the process parameters of the virtual verification standard is:

[0097] (1) When a new measurement is added, the measurement range is all groups, denoted as the first measurement of the k th group, , 1≤ k ≤M, calculate the virtual verification standard value ; ;

[0098] Until M measurements are accumulated to perform gross error detection and form a group of measurement data;

[0099] (2) Calculate the group mean and the group standard deviation : ; ;

[0100] (3) Perform t-test and F-test: ; ;

[0101] In the formula, t p (P-1) represents the t distribution critical value with a confidence probability P and a degree of freedom of P-1;

[0102] F (P-1) represents the F distribution critical value with a significance level α and degrees of freedom

[0103] When and only when the two formulas in (3) are satisfied, it is considered that the errors of all piles in the charging pile group do not exceed the control limit, i.e. meet the normal use requirements; otherwise, it is considered that the error of at least one pile in the charging pile group exceeds the limit, triggering the correction process: ; ;

[0104] In the formula, A2(M) and D4(M) are given by querying the control limit factor table.

[0105] The correction process includes:

[0106] For T charging piles in the charging pile group, manual verification or installation of standard power modules is performed. M measurements are then taken on these T piles to obtain the error verification value d for each of the T piles. yz y = 1, 2, ..., T, 1 ≤ T <N;z=1,2,…,M,

[0107] Calculate its mean A c 'and standard deviation S c ': ; ;

[0108] If the t-statistic ,and S c '≤ S c If the process parameters of the virtual verification standard are controlled, no modification is needed; otherwise, modification is required. A c for A c '.

[0109] By correcting the model parameters in real time through closed-loop feedback, the error rate of error control can be reduced to less than 0.5%.

[0110] Example 2

[0111] Based on the same inventive concept, this application also provides an apparatus corresponding to the method in Embodiment 1, as detailed in Embodiment 2. Figure 2 As shown, this embodiment provides a charging pile group error characteristic control device based on statistical testing, including:

[0112] The simulated verification standard value calculation module is used to calculate the virtual verification standard value in the charging pile group metering guarantee scheme. The calculation method for the virtual verification standard value in the charging pile group metering guarantee scheme is as follows: ;

[0113] In the formula, the subscript k represents the kth calculation, where k≥2; A i It is a matrix β The i Each element represents the solution error coefficient for the i-th charging pile; the matrix... β This refers to the solution error coefficient matrix of each charging station in the charging station group. β The calculation formula is: ;

[0114] In the formula, superscript T Indicates matrix transpose; matrix E and E t They are respectively: , ;

[0115] Among them, matrix E t medium elements E tx The total power meter of the charging station is on the first x Readings at each moment; ε 0 represents fixed losses within the charging station; 1 represents fixed losses within the charging station. N×1 It is an N x 1 matrix consisting entirely of 1s; E medium elements E xi For the first in the charging station i The first pile x Readings at each moment; η i For the first i The AC / DC conversion efficiency of each pile, if it is an AC pile, then η i =1; A single measurement contains N time points. x = 1, 2,... N; A total of measurements were taken at each time point. n Data for individual piles i = 1, 2,... n Where the number of time points N > the number of charging piles n;

[0116] The process parameter calculation module is used to calculate the process parameters of the virtual verification standard in the charging pile group metering guarantee scheme based on the virtual verification standard value. The charging pile group is divided into J charging pile groups. For the j-th group of charging piles, 1≤j≤J. Then, the process parameters of the virtual verification standard in the charging pile group metering guarantee scheme include the mean value within the group. Within-group standard deviation Between-group mean A c Between-group standard deviation S B Combined standard deviation S P ;

[0117] The mean value within the j-th group of charging piles The calculation method is as follows: ;

[0118] In the formula, M is the number of measurements within the group, and 2≤M≤k; The verification standard acceptance value obtained from the k-th measurement of the j-th group of charging piles is calculated as follows: ;

[0119] The group standard deviation of the jth group of charging piles The calculation method is: ;

[0120] The coarse error test formula for each verification standard recognition value is: ;

[0121] In the formula, is the Grubbs criterion critical value; if the coarse error test formula is established, a set of measurement data is formed, otherwise, the data should be rejected and the data should be measured again;

[0122] The inter-group mean A c The calculation method is: ;

[0123] In the formula, J is the number of measurement groups;

[0124] The inter-group standard deviation S B The calculation method is: ;

[0125] The combined standard deviation S P The calculation method is: ;

[0126] The error characteristic control and correction module is used to control the error characteristics of the charging pile group according to the process parameters of the virtual verification standard; during the control process, if it is found that the error of all piles in the charging pile group exceeds the control limit, the process parameters of the virtual verification standard in the measurement assurance scheme of the charging pile group are corrected.

[0127] The method for controlling the error characteristics of the charging pile group by the process parameters of the virtual verification standard is:

[0128] (1) When a new measurement is added, it is recorded as the first measurement of the k th group, , 1≤ k ≤M, calculate the virtual verification standard value ; ;

[0129] Until M measurements are accumulated to perform coarse error test and form a set of measurement data;

[0130] (2) Calculate the group mean and the group standard deviation : ; ;

[0131] (3) Perform t-test and F-test: ; ;

[0132] In the formula, t p (P-1) represents a t distribution critical value with a confidence probability P and a degree of freedom P-1;

[0133] F represents an F distribution critical value with a significance level α and degrees of freedom ;

[0134] If the two formulas in the (3) are satisfied, it is considered that the error of all piles in the charging pile group does not exceed the control limit, that is, the normal use demand is met; otherwise, it is considered that the error of at least one pile in the charging pile group exceeds the limit and triggers the correction process: ; ;

[0135] In the formula, A2(M) and D4(M) are given by querying the control limit factor table.

[0136] The correction process includes:

[0137] The T piles in the charging pile group are artificially calibrated or installed with standard electric energy modules, and the error calibration values of the T piles are obtained by measuring the T piles M times as d yz , y=1, 2, …, T, 1≤T<N; z=1, 2, …, M,

[0138] Calculate the mean value A c ’ and the standard deviation S c ’: ; ;

[0139] If the t statistic , and S c ’≤ S c , the process parameters of the virtual verification standard are controlled, and do not need to be corrected; otherwise, correct A c to A c ’.

[0140] Thus, by real-time correction of the model parameters through closed-loop feedback, the error control error rate can be reduced to within 0.5%.

[0141] Embodiment Three

[0142] Based on the same inventive concept, the present application provides electronic device embodiments corresponding to embodiment one, which are described in detail in embodiment three. As Figure 3As shown, this embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it can implement any of the implementation methods in Embodiment 1.

[0143] Since the electronic device described in this embodiment is the device used to implement the method in Embodiment 1 of this application, those skilled in the art can understand the specific implementation method and various variations of the electronic device in this embodiment based on the method described in Embodiment 1 of this application. Therefore, how the electronic device implements the method in the embodiment of this application will not be described in detail here. Any device used by those skilled in the art to implement the method in the embodiment of this application falls within the scope of protection of this application.

[0144] Example 4

[0145] Based on the same inventive concept, this application provides a storage medium corresponding to Embodiment 1, as detailed in Embodiment 4. For example... Figure 4 As shown, this embodiment provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, it can implement any of the implementation methods in Embodiment 1.

[0146] The technical solution provided in this application embodiment has at least the following technical effects or advantages: It introduces the concept of a metering assurance scheme into the metering verification of charging pile groups. Utilizing the total energy measurement data of the charging station's main meter and the energy measurement data of each pile in the charging pile group, it establishes a virtual verification standard value based on energy conservation, calculates the process parameters of the virtual verification standard, forms a virtual verification standard model, monitors the error characteristics of the charging pile group, continuously monitors the error of each pile in the group through closed-loop control, and updates the control process of the charging pile group under the metering assurance scheme system through manual verification using a sampling scheme or by installing standard modules, ensuring the effectiveness of the virtual verification standard and improving the efficiency of charging pile verification.

[0147] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0148] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart Figure 1 one or more functions specified in the flowchart or multiple flows and / or blocks. Figure 1 one or more functions specified in the flowchart or multiple flows and / or blocks.

[0149] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart Figure 1 one or more functions specified in the flowchart or multiple flows and / or blocks. Figure 1 one or more functions specified in the flowchart or multiple flows and / or blocks.

[0150] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart Figure 1 one or more functions specified in the flowchart or multiple flows and / or blocks. Figure 1 one or more functions specified in the flowchart or multiple flows and / or blocks.

[0151] While the present application has been described with reference to specific implementations thereof, it should be understood that the specific implementations are merely illustrative of the general principles of the application and that the application is to be limited only by the scope of the claims.

Claims

1. A method for error characteristic control of a group of charging piles based on statistical test, characterized in that: Comprising the following steps: In S101, a virtual check standard value in the charging pile group metering guarantee scheme is calculated, and the calculation method is as follows: ; In the formula, subscript k represents the kth calculation, wherein k≥2; A i is the matrix β is the i th element of the matrix i represents the solution error coefficient of the i th charging pile. Matrix β Refers to the solution error coefficient matrix of each charging pile of the charging pile group, the matrix β The calculation formula is: ; wherein the superscripts T denote matrix transposition; matrices E and E t are respectively: , ; wherein the matrix E t the middle element E tx is the reading of the total power of the charging station at the x th moment; ε 0 is the fixed loss in the charging station; 1 N×1 is an all-ones matrix of N rows and 1 column; the matrix E the middle element E xi is the reading of the i th pile in the charging station at the x th moment; η i is the AC-DC conversion efficiency of the i th pile, and if it is an AC pile, η i = 1; one measurement contains N moments, x = 1, 2, … N; and at each moment, the data n of i = 1, 2, … n piles are measured; wherein the number of moments N > the number of charging piles n; S102、based on the virtual check standard value, calculate the process parameter of the virtual check standard in the charging pile group measurement guarantee scheme, the charging pile group is divided into J charging pile groups, for the jth charging pile group, 1≤j≤J, then the process parameter of the virtual check standard in the charging pile group measurement guarantee scheme includes the group mean value , the group standard deviation , the inter-group mean value A c , the inter-group standard deviation S B , the combined standard deviation S P ; the group mean of the jth group of charging piles The calculation method of the group mean of the jth group of charging piles is as follows: ; In the formula, M is the number of measurements in the group, 2≤M≤k; The verification standard recognition value of the jth group of charging piles for the kth measurement is calculated as follows: ; Intra-group standard deviation of the jth group of charging piles The calculation method is: ; The coarse error inspection formula for each checking standard recognition value is: ; In the formula, is the critical value of Grubbs criterion; if the gross error detection formula is established, a set of measurement data is formed, otherwise, it should be rejected and the data should be supplemented. Mean between groups A c The calculation method is: ; In the formula, J is the number of measurement groups; Interclass standard deviation S B The calculation method is: ; Combined standard deviation S P The calculation method is: ; S103, controlling the error characteristics of the charging pile group according to the process parameters of the virtual verification standard; in the control process, if it is found that the error of all piles of the charging pile group exceeds the control limit, the process parameters of the virtual verification standard in the measurement assurance scheme of the charging pile group are modified; The method for controlling the error characteristics of the charging pile group according to the process parameters of the virtual verification standard comprises: (1) When a new measurement is added, it is recorded as the first measurement of the group k , , 1≤ k ≤M, calculate the virtual verification standard value of this time ; Until the coarse error test is performed when the measurement is accumulated M times and a group of measurement data is formed; (2) Calculate the mean within the group and the standard deviation within the group : ; ; (3) t-test and F-test were performed: ; ; In the formula, t p (P-1) represents a t distribution critical value at a confidence probability P with a degree of freedom of P-1; denote the F-distribution critical value at the significance level a with degrees of freedom respectively. Only when the two formulas in the (3) are satisfied, it is considered that the error of all piles of the charging pile group does not exceed the control limit, that is, the normal use demand is met; otherwise, it is considered that the error of at least one pile in the charging pile group is out of tolerance, triggering the modification process.

2. The method of claim 1, wherein: The modification process in the step S103 comprises: The T piles in the charging pile group are artificially calibrated or installed with standard electric energy modules, and the error calibration values of the T piles are obtained by measuring the T piles M times yz , y = 1, 2, …, T, 1≤T<N; z = 1, 2, …, M, Computing their mean A c ’ and standard deviation S c ’: ; ; If the t-statistic , and S c ’≤ S c , the process parameters of the virtual audit criteria are controlled and no correction is necessary; otherwise, correction A c is A c ’.

3. A statistical test based charging pile group error characteristic control device, characterized in that: Comprising: The simulation verification standard value calculation module is configured to calculate a virtual verification standard value in a charging pile group metrology guarantee scheme, and the calculation method of the virtual verification standard value in the charging pile group metrology guarantee scheme is: ; In the formula, subscript k represents the kth calculation, wherein k≥2; A i is the matrix β is the i th element of the matrix i represents the solution error coefficient of the i th charging pile. Matrix β Refers to the solution error coefficient matrix of each charging pile of the charging pile group, the matrix β The calculation formula is: ; wherein the superscripts T denote matrix transposition; matrices E and E t are respectively: , ; wherein the matrix E t the middle element E tx is the reading of the total power of the charging station at the x th time; ε 0 is the fixed loss in the charging station; 1 N×1 is an all-ones matrix of N rows and 1 column; the matrix E the middle element E xi is the reading of the i th pile in the charging station at the x th time; η i is the AC-DC conversion efficiency of the i th pile, and if it is an AC pile, η i = 1; one measurement contains N times, x = 1, 2, … N; and at each time, the data n of i = 1, 2, … n piles are measured; wherein the number of times N > the number of charging piles n; A process parameter calculation module is configured to calculate process parameters of the virtual verification standard in the charging pile group metrological assurance scheme based on the virtual verification standard value, the charging pile group is divided into J charging pile groups, for the jth charging pile group, 1≤j≤J, the process parameters of the virtual verification standard in the charging pile group metrological assurance scheme include the in-group mean value , the in-group standard deviation , the inter-group mean value A c , the inter-group standard deviation S B , the combined standard deviation S P ; the group mean of the jth group of charging piles The calculation method of the group mean of the jth group of charging piles is as follows: ; In the formula, M is the number of measurements in the group, 2≤M≤k; The verification standard recognized value of the jth group of charging piles for the kth measurement is calculated as follows: ; Intra-group standard deviation of the jth group of charging piles The calculation method is: ; The coarse error inspection formula for each checking standard recognition value is: ; In the formula, is the critical value of Grubbs criterion; if the gross error detection formula is established, a set of measurement data is formed, otherwise, the data should be rejected and the data should be supplemented. Mean between groups A c The calculation method is: ; In the formula, J is the number of measurement groups; Interclass standard deviation S B The calculation method is: ; Combined standard deviation S P The calculation method is: ; The error characteristic control and modification module is used for controlling the error characteristics of the charging pile group according to the process parameters of the virtual verification standard; in the control process, if it is found that the error of all piles of the charging pile group exceeds the control limit, the process parameters of the virtual verification standard in the measurement assurance scheme of the charging pile group are modified; The method for controlling the error characteristics of the charging pile group according to the process parameters of the virtual verification standard comprises: (1) When a new measurement is added, it is recorded as the th measurement of the k th group, , 1≤ k ≤M, and the virtual verification standard value of this measurement is calculated; ; Until the coarse error test is performed when the measurement is accumulated M times and a group of measurement data is formed; (2) Calculate the mean within the group and the standard deviation within the group : ; ; (3) t-test and F-test were performed: ; ; In the formula, t p (P-1) represents a t distribution critical value at a confidence probability P with a degree of freedom of P-1; denote the F-distribution critical value at the significance level a with degrees of freedom respectively. Only when the two formulas in the (3) are satisfied, it is considered that the error of all piles of the charging pile group does not exceed the control limit, that is, the normal use demand is met; otherwise, it is considered that the error of at least one pile in the charging pile group is out of tolerance, triggering the modification process.

4. The apparatus of claim 3, wherein: The modification process comprises: The T piles in the charging pile group are artificially calibrated or installed with standard electric energy modules, and the error calibration values of the T piles are obtained by measuring the T piles M times yz , y = 1, 2, …, T, 1≤T<N; z = 1, 2, …, M, Computing the mean value thereof A c ' and the standard deviation S c ': ; ; If the t-statistic , and S c ’≤ S c , then the process parameters of the virtual audit criteria are controlled and no correction is necessary; otherwise, correction A c is A c ’ 5. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the program to realize the method of claim 1 or 2.

6. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to realize the method of claim 1 or 2.

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