A mean- range test-based charging pile group error characteristic control method, device, equipment and medium

Abstract

The application provides a charging pile group error characteristic control method and device based on mean-variation range inspection, equipment and medium in the technical field of charging pile inspection, comprising: S101, calculating the virtual verification standard value in the charging pile group measurement guarantee scheme; S102, calculating the 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: monitoring the error characteristics of the charging pile group, monitoring the error of each pile in the charging pile group, ensuring the effectiveness of the virtual verification standard, and greatly improving the efficiency of the charging pile inspection.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of charging pile verification, and in particular relates to a charging pile group error characteristic control method and device based on mean-range inspection, equipment and 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's 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, using error calculation algorithms as virtual measuring instruments, 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 provide a charging pile group error characteristic control method, device, equipment and medium based on mean-range inspection, realize monitoring the error characteristics of the charging pile group, monitor the error of each pile in the charging pile group, and guarantee the effectiveness of the virtual verification standard, greatly improve the efficiency of the charging pile verification, 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 mean-range testing. This is implemented based on a metering assurance scheme system. 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 within the station, establishes a virtual verification standard value based on energy conservation, and then calculates the virtual verification standard process parameters, including the within-group mean. Aj c Range Rj c Between-group mean A c Range and average R c A virtual verification standard model is formed to control the error characteristics of the charging pile group. The control process of the charging pile group in the metering assurance scheme system is updated by using a sampling scheme for manual verification or a 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 the mean-range test, comprising the following steps:

[0011] S101. Calculate the virtual verification standard value in the metering guarantee scheme for charging pile groups.

[0012] The calculation method for the virtual verification standard value in the charging pile group metering guarantee scheme is as follows: ;

[0013] 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: ;

[0014] In the formula, superscript T Indicates matrix transpose; matrix E and E t They are respectively: , ;

[0015] 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 Exi the reading of the first i th charging pile at the x th time point; η i the AC / DC conversion efficiency of the first i th charging pile, if it is an AC pile, then η i = 1; one measurement contains N time points, x = 1, 2,... N; and the data of n charging piles are measured at each time point i = 1, 2,... n ; wherein, the number of time points N > the number of charging piles n;

[0016] S102, based on the virtual verification standard value, calculate the process parameters of the virtual verification standard in the charging pile group measurement assurance scheme.

[0017] 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 measurement assurance scheme include the within-group mean , the range , the between-group mean A c , and the average range R c ;

[0018] The calculation method of the within-group mean of the jth group is: ;

[0019] In the formula, M is the number of within-group measurements; is the verification standard approved value obtained by the jth group in the kth measurement, and the calculation method is: ;

[0020] The calculation method of the within-group range of the jth group is: ;

[0021] In the formula, max and min represent the maximum and minimum values respectively;

[0022] The calculation method of the between-group mean A c is: ;

[0023] In the formula, J is the number of measurement groups;

[0024] The calculation method of the average range R c is: ;

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

[0026] The method for controlling the error characteristics of the charging pile group by the process parameter of the virtual verification standard is:

[0027] (1) When a new measurement is added, it is recorded as the first measurement of the first group, l the first measurement of the first group, k l> P, P is the total number of measurement groups, 1≤ k ≤M, calculate the virtual verification standard value : ;

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

[0029] (2) Calculate the mean value and the range : ; ;

[0030] In the formula, max and min represent the maximum and minimum values respectively;

[0031] When and only when the following two formulas are satisfied, it is considered that the error of all piles in the charging pile group does not exceed the control limit, that is, it meets the normal use demand; otherwise, it is considered that the error of at least one pile in the charging pile group appears out of tolerance, triggering the correction process: ; ;

[0032] In the formula, A2(M) and D4(M) are given by querying the control limit factor table.

[0033] The correction process includes:

[0034] Manually calibrate or install a standard electric energy module in T piles in the charging pile group, and perform M times of measurement on the T piles to obtain error calibration values d yz of the T piles, y=1,2,…,T, 1≤T<N; z=1,2,…,M,

[0035] Calculate the mean value A c and the standard deviation S c : ; ;

[0036] 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 ';in, S c Acceptable value of standard deviation ， The calculation method is as follows: .

[0037] Secondly, the present invention provides a charging pile group calibration device, comprising:

[0038] The virtual verification standard calculation module calculates 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: ;

[0039] 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: ;

[0040] In the formula, superscript T Indicates matrix transpose; matrix E and E t They are respectively: , ;

[0041] 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 ηi =1; one measurement contains N time points, x = 1, 2,... N; measure data of each time point n of n charging piles i = 1, 2,... n ; wherein, N> n;

[0042] a process parameter calculation module, based on the virtual verification standard value, calculates the process parameter of the virtual verification standard in the charging pile group metrological assurance scheme, the charging pile group is divided into J charging pile groups, for the jth charging pile group, 1≤j≤J; the process parameter of the virtual verification standard in the charging pile group metrological assurance scheme includes the within-group mean , range , between-group mean A c , range average R c ;

[0043] The calculation method of the within-group mean of the jth group is: ;

[0044] In the formula, M is the number of within-group measurements; is the verification standard approved value obtained by the jth group kth measurement, and the calculation method is: ;

[0045] The calculation method of the within-group range of the jth group is: ;

[0046] In the formula, max and min represent the maximum and minimum values respectively;

[0047] The calculation method of the between-group mean A c is: ;

[0048] In the formula, J is the number of measurement groups;

[0049] The calculation method of the range average R c is: ;

[0050] An error characteristic control and correction module controls the error characteristics of the charging pile group according to the process parameter of the virtual verification standard; during the control process, if it is found that the error of all piles of the charging pile group exceeds the control limit, the process parameter of the virtual verification standard in the charging pile group metrological assurance scheme is corrected, and the method for controlling the error characteristics of the charging pile group by the process parameter of the virtual verification standard is:

[0051] (1) When a new measurement is added, it is recorded as the lThe first measurement of the group k , l> P, P is the total number of measurement groups, 1≤ k ≤M, calculate the virtual verification standard value : ;

[0052] Until the cumulative M times of measurement is carried out, and a group of measurement data is formed;

[0053] (2) Calculate the mean value and the range : ; ;

[0054] In the formula, max and min represent the maximum and minimum values respectively;

[0055] If the following two formulas are satisfied, it is considered that the error of all piles in the charging pile group does not exceed the control limit, that is, it meets the normal use demand; otherwise, it is considered that at least one pile in the charging pile group has an error that exceeds the limit, triggering the correction process: ; ;

[0056] In the formula, A2(M) and D4(M) are given by querying the control limit factor table.

[0057] The correction process includes:

[0058] The T piles in the charging pile group are artificially calibrated or installed with standard electric energy modules, and M times of measurement are performed on the T piles to obtain the error calibration value d yz of the T piles, y=1, 2,…, T, 1≤T<N; z=1, 2,…, M,

[0059] Calculate the mean value A c and the standard deviation S c : ; ;

[0060] If the t-statistic , and S c ’≤ S c , the process parameters of the virtual verification standard are controlled, and no correction is needed; otherwise, correct A c to A c ; wherein, S c is the standard deviation of the recognized value ， The calculation method is: .

[0061] 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 implements the method of the first aspect when executing the program.

[0062] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method of the first aspect.

[0063] The one or more technical solutions provided by the present application have at least the following technical effects or advantages: the idea of the measurement assurance scheme is introduced into the measurement verification of the charging pile group, the total meter electric energy measurement data of the charging station and the electric energy measurement data of each pile in the pile group in the station are used, a virtual verification standard value is established based on energy conservation, process parameters are calculated, a virtual verification standard model is formed to monitor the error characteristics of the charging pile group, the errors of each pile in the pile group are continuously monitored through closed-loop control, the control process of the measurement assurance scheme system of the charging pile group is updated through manual verification or installation of a standard module through a sampling scheme, the effectiveness of the virtual verification standard is ensured, and the efficiency of the charging pile verification is improved.

[0064] The above description is only a summary of the technical solutions of the present application. In order to more clearly understand the technical means of the present application, the content of the specification can be implemented, and in order to make the above and other purposes, characteristics and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application are described below. BRIEF DESCRIPTION OF DRAWINGS

[0065] The present application will be further described below with reference to the accompanying drawings and in conjunction with the embodiments.

[0066] Figure 1 The flowchart of the method of the present application is shown;

[0067] Figure 2 The schematic diagram of the device module of the present application is shown;

[0068] Figure 3 The schematic diagram of the device of the present application is shown;

[0069] Figure 4 The schematic diagram of the medium of the present application is shown. DETAILED DESCRIPTION

[0070] The present application provides a charging pile group error characteristic control method, device, equipment and medium based on mean- range verification, and the overall idea is as follows: based on the measurement assurance scheme system, the total meter electric energy measurement data of the charging station and the electric energy measurement data of each pile in the pile group in the station are used, a virtual verification standard value is established based on energy conservation, and then the virtual verification standard process parameters are calculated, including the group mean and range Between-group mean A c Range and mean R c A virtual verification standard model is formed to control the error characteristics of the charging pile group. The control process of the charging pile group in the metering assurance scheme system is updated by using a sampling scheme for manual verification or a built-in standard module.

[0071] Example 1

[0072] This embodiment provides a method for controlling the error characteristics of charging pile groups based on the mean-range test, such as... Figure 1 As shown, it includes the following steps:

[0073] S101. Based on the law of conservation of energy, calculate the virtual verification standard value in the metering guarantee scheme for charging pile groups. The calculation method is as follows: ;

[0074] 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: ;

[0075] In the formula, superscript T Indicates matrix transpose; matrix E and E t They are respectively: , ;

[0076] 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;

[0077] By dynamically capturing the overall error characteristics of the charging pile group through matrix operations, the reliance on data from a single moment is avoided, significantly improving the robustness of the error model.

[0078] S102. Based on the virtual verification standard value, calculate the process parameters of the virtual verification standard in the charging pile group metering guarantee scheme.

[0079] The charging pile group is divided into J charging pile groups, where 1 ≤ j ≤ J for the j-th group of charging piles; the process parameters of the virtual verification standard in the metering guarantee scheme for the charging pile group include the mean value within the j-th group. Range Between-group mean A c Range and average R c ;

[0080] Where the within-group mean of group j The calculation method is as follows: ;

[0081] In the formula, M is the number of measurements within the group; The verification standard acceptance value obtained from the k-th measurement of the j-th group is calculated as follows: ;

[0082] Within-group range of group j The calculation method is as follows: ;

[0083] In the formula, max and min represent finding the maximum and minimum values, respectively;

[0084] Between-group means A c The calculation method is as follows: ;

[0085] In the formula, J is the number of measurement groups;

[0086] Range and average R c The calculation method is as follows: ;

[0087] S103. 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, then the process parameters of the virtual verification standard in the metering guarantee scheme of the charging pile group are corrected.

[0088] The method for process control of error characteristics of the charging pile group by the process parameter of the virtual verification standard is:

[0089] (1) When a new measurement is added, it is recorded as the first l measurement of the k measurement group, l> P, P is the total number of measurement groups, 1≤ k ≤M, and the virtual verification standard value of this time is calculated: ;

[0090] Until M measurements are accumulated to perform gross error detection and form a group of measurement data;

[0091] (2) Calculate the mean and the range : ; ;

[0092] In the formula, max and min represent the maximum and minimum values, respectively;

[0093] When and only when the following two formulas are satisfied, it is considered that the error of all piles in the charging pile group does not exceed the control limit, i.e. it meets 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: ; ;

[0094] In the formula, A2(M) and D4(M) are given by the query control limit factor table.

[0095] A2(M) and D4(M) are key factors in statistical process control (SPC) for calculating control limits, and their meanings and effects are as follows:

[0096] A2(M) is used to determine whether the relative error of a single charging pile is within the allowed range. In SPC, the A2 factor is related to the subgroup size M (i.e. the sample size), and is used to calculate the control limit of the mean chart (X-bar chart), which means that the error of a single charging pile needs to be less than the threshold value limited by A2(M).

[0097] D4(M) is used to determine whether the range of the charging pile exceeds the control upper limit. In SPC, the D4 factor is used to calculate the upper control limit (UCL) of the range chart (R chart), which means that the range of a single charging pile relative to the reference range needs to be less than the threshold value D4(M).

[0098] The calculation of the control limit factor table is a standard reference table that provides corresponding control limit factor values according to the subgroup size M (i.e. the sample size). An example of the table content is as follows:

[0099]

[0100] Query method: according to the sub-group size M (for example, the number of charging piles detected each time) in the charging pile group, find the corresponding A2 and D4 values from the table. For example, if the sub-group size M = 5, then A2 = 0.577 and D4 = 2.114.

[0101] The correction process includes:

[0102] Manually calibrate or install standard electric energy modules in the T piles in the charging pile group, and measure the T piles M times to obtain the error calibration value d yz , y = 1, 2, …, T, 1 ≤ T < N; z = 1, 2, …, M,

[0103] Calculate the mean value A c ’ and the standard deviation S c ’: ; ;

[0104] 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 ’; wherein, S c is the standard deviation of the recognized value ， The calculation method is: .

[0105] Thus, by real-time correction of model parameters through closed-loop feedback, the error control error rate can be reduced to within 0.5%.

[0106] Wherein, the table is a Q value table used in Q test, and the Q value table is mainly used to determine whether the suspicious value in the data should be excluded, and the specific steps of the Q test are as follows:

[0107] S101, data sorting: arrange each data in ascending order, denoted as X1, X2, X3, …, X n−1 , X n ;

[0108] S102, calculate the range: calculate the difference between the maximum value and the minimum value, that is, the range ;

[0109] S103. Calculate the difference: Find the absolute value of the difference between the suspicious value and its nearest neighbor.

[0110] S104. Calculate the Q value: Divide the difference by the range to obtain the Q value;

[0111] S105. Look up the Q-value table: Based on the number of measurements n and the required confidence level, look up the Q-value table to determine whether to accept or reject any suspicious values.

[0112] Example 2

[0113] Based on the same inventive concept, this application also provides an apparatus corresponding to the method in Embodiment 1, as detailed in Embodiment 2.

[0114] like Figure 2 As shown, this embodiment provides a charging pile group error characteristic control device based on mean-range test, including:

[0115] The virtual verification standard calculation module calculates 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: ;

[0116] 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: ;

[0117] In the formula, superscript T Indicates matrix transpose; matrix E and E t They are respectively: , ;

[0118] 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;

[0119] The process parameter calculation module calculates 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, where 1 ≤ j ≤ J for the j-th group of charging piles. The process parameters of the virtual verification standard in the charging pile group metering guarantee scheme include the mean value within the j-th group. Range Between-group mean A c Range and average R c ;

[0120] Where the within-group mean of group j The calculation method is as follows: ;

[0121] In the formula, M is the number of measurements within the group; The verification standard acceptance value obtained from the k-th measurement of the j-th group is calculated as follows: ;

[0122] Within-group range of group j The calculation method is as follows: ;

[0123] In the formula, max and min represent finding the maximum and minimum values, respectively;

[0124] Between-group means A c The calculation method is as follows: ;

[0125] In the formula, J is the number of measurement groups;

[0126] Range and average R c The calculation method is as follows: ;

[0127] The error characteristic control and correction module controls 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.

[0128] The method for process control of error characteristics of the charging pile group by the process parameter of the virtual verification standard is:

[0129] (1) When a new measurement is added, it is recorded as the first l measurement of the first k measurement group, l> P, P is the total number of measurement groups, 1≤ k ≤M, calculate the virtual verification standard value : ;

[0130] Until M times of measurement are accumulated to perform gross error detection and form a group of measurement data;

[0131] (2) Calculate the mean value and the range : ; ;

[0132] In the formula, max and min represent the maximum and minimum values, respectively;

[0133] If the following two formulas are satisfied, it is considered that the error of all piles in the charging pile group does not exceed the control limit, i.e. it meets 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: ; ;

[0134] In the formula, A2(M) and D4(M) are given by the query control limit factor table.

[0135] A2(M) and D4(M) are key factors for calculating control limits in statistical process control (SPC), and their meanings and effects are as follows:

[0136] A2(M) is used to determine whether the relative error of a single charging pile is within the allowed range. In SPC, the A2 factor is related to the subgroup size M (i.e. the sample size), and is used to calculate the control limit of the mean value chart (X-bar chart), which means that the error of a single charging pile needs to be less than the threshold value defined by A2(M).

[0137] D4(M) is used to determine whether the range of the charging pile exceeds the control upper limit. In SPC, the D4 factor is used to calculate the upper control limit (UCL) of the range chart (R chart), which means that the range of a single charging pile relative to the reference range needs to be less than the threshold value D4(M).

[0138] The calculation of the control limit factor table is a standard reference table that provides corresponding control limit factor values according to the subgroup size M (i.e. the sample size). An example of the table content is as follows:

[0139]

[0140] Query method: according to the sub-group size M (for example, the number of charging piles detected each time) in the charging pile group, the corresponding A2 and D4 values are found from the table. For example, if the sub-group size M = 5, then A2 = 0.577 and D4 = 2.114.

[0141] The correction process includes:

[0142] 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,

[0143] Calculate the mean value A c ’ and the standard deviation S c ’: ; ;

[0144] 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 ’; wherein, S c is the standard deviation of the recognized value ， The calculation method is: .

[0145] 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%.

[0146] Since the device introduced in embodiment two is the device used to implement the method of embodiment one, the specific structure and modifications of the device can be understood by those skilled in the art based on the method introduced in embodiment one, and therefore will not be described here. Any device used by the method of embodiment one belongs to the scope of protection of the present application.

[0147] Embodiment three

[0148] 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. For example, Figure 3As shown in the embodiment, the electronic device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor can implement any of the embodiments of the first aspect when executing the computer program.

[0149] Since the electronic device introduced in the embodiment is the device used to implement the method in the first aspect of the application, the specific implementation of the electronic device in the embodiment and its various forms can be understood by those skilled in the art based on the method introduced in the first aspect of the application, and therefore, how the electronic device implements the method in the first aspect of the application will not be described in detail here. As long as the device used to implement the method in the first aspect of the application is implemented by those skilled in the art, it belongs to the scope of the application.

[0150] Embodiment Four

[0151] Based on the same inventive concept, the application provides a storage medium corresponding to the first aspect, which is described in detail in Embodiment Four. Figure 4 As shown in the embodiment, the electronic device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor can implement any of the embodiments of the first aspect when executing the computer program.

[0152] The technical solutions provided in the embodiments of the application have at least the following technical effects or advantages: the idea of the measurement assurance scheme is introduced into the measurement verification of the charging pile group, the total meter electric energy measurement data of the charging station and the electric energy measurement data of each pile in the pile group are used, a virtual verification standard value is established based on the energy conservation, process parameters are calculated, a virtual verification standard model is formed to monitor the error characteristics of the charging pile group, the errors of each pile in the pile group are continuously monitored through closed-loop control, the control process of the measurement assurance scheme system of the charging pile group is updated through manual verification or installation of a standard module through a sampling scheme, the effectiveness of the virtual verification standard is ensured, and the efficiency of the charging pile verification is improved.

[0153] Those skilled in the art should understand that the embodiments of the application can be provided as a method, a system, or a computer program product. Therefore, the application can be in the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the application can be in the form of a computer program product implemented 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.

[0154] 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.

[0155] 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.

[0156] 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.

[0157] While the present application has been described with reference to the specific implementations thereof, it should be understood by those skilled in the art that the more specific embodiments described are merely illustrative and not limiting of the scope of the present application, as various modifications, equivalents and alternatives to the more specific embodiments described can be intended to be encompassed within the scope of the present application.

Claims

1. A mean-range test based charging pile group error characteristic control method, 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, where 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 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 time of the x th pile in the charging station; 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 times, x = 1, 2, … N; 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; 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;The process parameter of the virtual check standard in the charging pile group measurement guarantee scheme includes the intra-group mean of the jth group , the range , the inter-group mean A c , the range average R c ; wherein the within-group mean of the jth group The method of calculating the within-group mean of the jth group is: ; In the formula, M is the number of measurements in the group; The verification standard recognition value obtained for the jth group and the kth measurement is calculated as follows: ; the intra-group range of the jth group The calculation method is: ; In the formula, max and min represent maximum and minimum values respectively; Mean between groups A c The calculation method is: ; In the formula, J is the number of measurement groups; range average R c The calculation method is: ; S103, controlling 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 error characteristics of the charging pile group according to the process parameters of the virtual verification standard is: (1) When a new measurement is added, it is recorded as the l th measurement of the k th measurement group, l> P, P is the total number of measurement groups, 1≤ k ≤M, calculate the virtual verification standard value of this time: ; Until M times of measurement are accumulated to perform gross error detection and constitute a group of measurement data; (2) Calculate the mean within the group and the range : ; ; In the formula, max and min represent maximum and minimum values respectively; The error of all the piles in the charging pile group is considered to not exceed the control limit, i.e. to meet the normal use requirement, only when the following two formulas are met; otherwise, it is considered that the error of at least one pile in the charging pile group exceeds the limit, triggering the correction process: ; ; In the formula, A2(M) and D4(M) are given by a query calculation control limit factor table.

2. The method of claim 1, wherein: The modification process includes: 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 parameter of the virtual audit criteria is controlled and does not need to be corrected; otherwise, it is corrected A c = 3 A c ’; wherein, S c is the standard deviation acceptance value ， The calculation method is: .

3. A mean-range test based charging pile group error characteristic control device, characterized in that: Comprising: The virtual verification standard calculation module calculates 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 time; ε 0 is the fixed loss in the charging station; 1 N×1 is an all-1 matrix of N rows and 1 column; the matrix E the middle element E xi is the reading of the i th pile at the x time; η i is the AC-DC conversion efficiency of the i th pile, and if it is an AC pile, then η i = 1; one measurement contains N times, x = 1, 2, … N; and at each time, the data n of n piles are measured i = 1, 2, … n ; wherein the number of times N > the number of charging piles n; A process parameter calculation module calculates process parameters of the virtual verification standard in the charging pile group measurement 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 measurement assurance scheme include the intra-group mean of the jth group , the range , the inter-group mean A c , the range average R c ; wherein the within-group mean of the jth group The calculation method is: ; In the formula, M is the number of measurements in the group; The verification standard recognized value obtained by the jth group and the kth measurement is calculated as follows: ; the intra-group range of the jth group The calculation method is: ; In the formula, max and min represent maximum and minimum values respectively; Mean between groups A c The calculation method is: ; In the formula, J is the number of measurement groups; range average R c The calculation method is: ; The error characteristic control and modification module controls 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, and the method for controlling error characteristics of the charging pile group according to the process parameters of the virtual verification standard is: (1) When a new measurement is added, it is recorded as the l group's k measurement, l> P, P is the total number of measurement groups, 1≤ k ≤M, calculate the virtual verification standard value : ; Until M times of measurement are accumulated to perform gross error detection and constitute a group of measurement data; (2) Calculate the mean within the group and the range : ; ; In the formula, max and min represent maximum and minimum values respectively; 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 following two formulas are met; otherwise, it is considered that at least one error of the pile in the charging pile group exceeds the limit, triggering the correction process: ; ; In the formula, A2(M) and D4(M) are given by a query calculation control limit factor table.

4. The apparatus of claim 3, wherein: The modification process includes: 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 parameter of the virtual audit criteria is controlled and no correction is necessary; otherwise correction A c is A c ’; where, S c is the standard deviation acceptance value ， The calculation method is: .

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 implements the method of claim 1 or 2 when executing the program.

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

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