Working error determination method and device and nonvolatile storage medium

Abstract

The invention discloses a working error determination method and device and a nonvolatile storage medium. The method comprises the steps that the total electric energy amount of a charging station and electric energy metering values corresponding to a plurality of charging piles in a plurality of time intervals are acquired respectively; respectively calculating a difference value between the total electric energy in the plurality of time intervals and the sum of the electric energy metering values corresponding to the plurality of charging piles, and taking the difference value as an electric energy metering difference value corresponding to the plurality of time intervals; based on a function relationship between the electric energy metering difference value and electric energy metering values corresponding to the plurality of charging piles, determining equations comprising to-be-estimated parameters corresponding to the plurality of time intervals; on the basis of equations corresponding to the multiple time intervals, estimated values of change rates corresponding to the multiple charging piles are determined; and based on the estimated values of the change rates corresponding to the plurality of charging piles, determining working errors corresponding to the plurality of charging piles. According to the invention, the technical problem of low efficiency of on-site verification of the working error of the charging pile at present is solved.

Description

Technical Field

[0001] The present invention relates to the field of measurement technology, and in particular to a method and device for determining a working error and a non-volatile storage medium. Background Art

[0002] Charging piles are important infrastructure to support the development of the electric vehicle industry, and their electricity metering value is the basis for power grid companies and electric vehicle users to trade electricity. At present, with the rapid development of the domestic electric vehicle industry, the volume of electricity trading behind charging piles continues to rise, and the fairness of electricity trading has gradually become one of the key issues of concern to power grid companies and electric vehicle users. The accuracy of charging pile electricity metering is the cornerstone of ensuring fair electricity trading in the electric vehicle industry.

[0003] Due to the complex operating environment of charging piles, after long-term operation, the energy metering module of the charging pile may have working errors, resulting in inaccurate energy metering values ​​and unnecessary disputes. In view of this, it is necessary to calibrate the metering performance of the charging pile. At present, the calibration method for the energy metering performance of charging piles is mainly based on the on-site calibration method, and a single on-site calibration can take up to 1 hour. By the end of 2023, the number of public AC charging piles in the country will be about 1.6 million, so it is difficult to complete the calibration of all public AC charging pile energy metering through on-site calibration. In view of the difficulties faced by the comprehensive calibration of AC charging piles, it is urgent to explore an efficient charging pile energy metering performance monitoring method to complete the pre-calibration of the charging pile energy metering performance, thereby reducing the workload of on-site calibration.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present invention provide a method, device and non-volatile storage medium for determining a working error, so as to at least solve the technical problem of low efficiency in current on-site verification of working errors of charging piles.

[0006] According to one aspect of an embodiment of the present invention, a method for determining a working error is provided, comprising: respectively obtaining the total amount of electric energy of a charging station and the electric energy metering values ​​corresponding to each of a plurality of charging piles within a plurality of time intervals, wherein the plurality of charging piles are located in the charging station, and the working states of the plurality of charging piles within any one of the plurality of time intervals are the same as those within the remaining time intervals, and the working states include a charging state and an idle state; respectively calculating the difference between the total amount of electric energy within the plurality of time intervals and the sum of the electric energy metering values ​​corresponding to each of the plurality of charging piles as the electric energy metering difference corresponding to each of the plurality of time intervals; determining equations including parameters to be estimated corresponding to each of the plurality of time intervals based on a functional relationship between the electric energy metering difference and the electric energy metering values ​​corresponding to each of the plurality of charging piles, wherein the parameters to be estimated include the change rates corresponding to each of the plurality of charging piles; determining estimated values ​​of the change rates corresponding to each of the plurality of charging piles based on the equations corresponding to each of the plurality of time intervals; determining the working errors corresponding to each of the plurality of charging piles based on the estimated values ​​of the change rates corresponding to each of the plurality of charging piles and a functional relationship with the working errors corresponding to each of the plurality of charging piles.

[0007] Optionally, the difference between the total amount of electric energy in multiple time intervals and the sum of the electric energy metering values ​​corresponding to multiple charging piles is calculated as the electric energy metering difference corresponding to each of the multiple time intervals, including: acquiring the transmission network structure in the charging station; determining the line electric energy loss value in the charging station based on the transmission network structure; calculating the difference between the total amount of electric energy in multiple time intervals and the sum of the electric energy metering values ​​corresponding to each of the multiple charging piles as the initial electric energy metering difference corresponding to each of the multiple time intervals; calculating the difference between the initial electric energy metering difference corresponding to each of the multiple time intervals and the line electric energy loss value in the charging station as the electric energy metering difference corresponding to each of the multiple time intervals.

[0008] Optionally, the expression corresponding to the functional relationship between the electric energy metering difference and the electric energy metering values ​​corresponding to the multiple charging piles is as follows:

[0009] ΔE=a1E1+a2E2+…a n E n +b

[0010] Among them, ΔE is the energy measurement difference, E1 to E n are the electric energy measurement values ​​corresponding to multiple charging piles, a1 to a n are the change rates corresponding to multiple charging piles respectively, and b is the other power loss value in the charging station.

[0011] Optionally, an expression corresponding to the functional relationship between the estimated value of the change rate corresponding to any one of the multiple charging piles and the working error is as follows:

[0012]

[0013] Among them, γ i is the working error of the i-th charging pile, is the estimated value of the change rate corresponding to the i-th charging pile.

[0014] Optionally, continue to obtain multiple groups of total electric energy of the charging station within multiple time intervals and the electric energy measurement values ​​corresponding to each of the multiple charging piles; determine multiple working errors corresponding to each of the multiple charging piles based on the multiple groups of total electric energy of the charging station within multiple time intervals and the electric energy measurement values ​​corresponding to each of the multiple charging piles; calculate the confidence levels corresponding to each of the multiple working errors based on the confidence calculation formula; select the working error with the largest confidence level among the multiple working errors as the target working error of the corresponding charging pile.

[0015] Optionally, the confidence calculation formula is as follows:

[0016]

[0017] Among them, C i is the confidence level of the working error corresponding to the i-th charging pile, R is the correlation index corresponding to the fitting process of determining the working error, is the correlation coefficient between the electric energy measurement value and the electric energy measurement difference corresponding to the i-th charging pile.

[0018] Optionally, the number of the multiple time intervals is not less than 2(n+1), where n is the number of charging piles in a charging state among the multiple charging piles.

[0019] According to another aspect of an embodiment of the present invention, a working error determination device is further provided, comprising: an acquisition module, for respectively acquiring the total amount of electric energy of a charging station and the electric energy metering values ​​corresponding to each of the multiple charging piles in multiple time intervals, wherein the multiple charging piles are located in the charging station, and the working states of the multiple charging piles in any time interval of the multiple time intervals are the same as those in the other time intervals, and the working states include a charging state and an idle state; a calculation module, for respectively calculating the difference between the total amount of electric energy in the multiple time intervals and the sum of the electric energy metering values ​​corresponding to each of the multiple charging piles, as the electric energy metering difference corresponding to each of the multiple time intervals; a first determination module, for determining the equations including the parameters to be estimated corresponding to each of the multiple time intervals based on the functional relationship between the electric energy metering difference and the electric energy metering values ​​corresponding to each of the multiple charging piles, wherein the parameters to be estimated include the change rates corresponding to each of the multiple charging piles; a second determination module, for determining the estimated values ​​of the change rates corresponding to each of the multiple charging piles based on the equations corresponding to each of the multiple time intervals; and a third determination module, for determining the working errors corresponding to each of the multiple charging piles based on the estimated values ​​of the change rates corresponding to each of the multiple charging piles and the functional relationship with the working errors corresponding to each of the multiple charging piles.

[0020] According to another aspect of an embodiment of the present invention, a non-volatile storage medium is provided, the non-volatile storage medium including a stored program, wherein when the program is running, the device where the non-volatile storage medium is located is controlled to execute any one of the above working error determination methods.

[0021] According to yet another aspect of an embodiment of the present invention, a computer device is provided. The computer device includes a processor, and the processor is used to run a program. When the program is run, any one of the above working error determination methods is executed.

[0022] According to another aspect of the embodiments of the present invention, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, any one of the above working error determination methods is implemented.

[0023] In an embodiment of the present invention, a working error determination method is adopted, by respectively obtaining the total amount of electric energy of the charging station and the electric energy metering values ​​corresponding to each of the multiple charging piles in multiple time intervals, wherein the multiple charging piles are located in the charging station, and the working states of the multiple charging piles in any time interval of the multiple time intervals are the same as those in the other time intervals, and the working states include charging states and idle states; respectively calculating the difference between the total amount of electric energy in the multiple time intervals and the sum of the electric energy metering values ​​corresponding to each of the multiple charging piles as the electric energy metering difference corresponding to each of the multiple time intervals; based on the functional relationship between the electric energy metering difference and the electric energy metering values ​​corresponding to each of the multiple charging piles , determine equations including parameters to be estimated corresponding to multiple time intervals, wherein the parameters to be estimated include the change rates corresponding to multiple charging piles; based on the equations corresponding to the multiple time intervals, determine the estimated values ​​of the change rates corresponding to the multiple charging piles; based on the estimated values ​​of the change rates corresponding to the multiple charging piles and the functional relationship with the corresponding working errors, determine the working errors corresponding to the multiple charging piles, so as to achieve the purpose of efficiently detecting the working errors of the charging piles, thereby realizing the technical effect of reducing the cost and workload of the charging pile calibration work and improving the efficiency, and further solving the technical problem of low efficiency in the on-site calibration of the working errors of the charging piles. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0025] Figure 1 A hardware structure block diagram of a computer terminal for implementing a working error determination method is shown;

[0026] Figure 2 is a flow chart of a method for determining a working error according to an embodiment of the present invention;

[0027] Figure 3 is a flow chart of a charging pile electric energy metering performance evaluation process provided according to an optional embodiment of the present invention;

[0028] Figure 4 is a wiring diagram of a charging pile and a main meter provided according to an optional embodiment of the present invention;

[0029] Figure 5 4 is a structural block diagram of a working error determination device provided according to an embodiment of the present invention. DETAILED DESCRIPTION

[0030] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0031] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0032] According to an embodiment of the present invention, an embodiment of a working error determination method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0033] The method embodiment provided in the first embodiment of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Figure 1 FIG. 1 shows a hardware structure block diagram of a computer terminal for implementing a method for determining a working error. Figure 1As shown, the computer terminal 10 may include one or more (102a, 102b, ..., 102n are used to illustrate) processors (the processor may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 104 for storing data. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown.

[0034] It should be noted that the one or more processors and / or other data processing circuits described above may generally be referred to herein as "data processing circuits". The data processing circuits may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuit may be a single independent processing module, or may be incorporated in whole or in part into any of the other components in the computer terminal 10. As described in the embodiments of the present application, the data processing circuit acts as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0035] The memory 104 can be used to store software programs and modules of application software, such as program instructions / data storage devices corresponding to the working error determination method in the embodiment of the present invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, the working error determination method of the above-mentioned application program is realized. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the computer terminal 10 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0036] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the computer terminal 10 .

[0037] Figure 2 FIG. 1 is a flow chart of a method for determining a working error according to an embodiment of the present invention. Figure 2 As shown, the method comprises the following steps:

[0038] Step S201, respectively obtaining the total amount of electric energy of the charging station and the electric energy metering values ​​corresponding to the multiple charging piles in multiple time intervals, wherein the multiple charging piles are located in the charging station, and the working states of the multiple charging piles in any time interval of the multiple time intervals are the same as those in the other time intervals, and the working states include charging state and idle state.

[0039] In this step, a high-precision electric energy meter can be installed at the incoming line end of the AC charging station to obtain the total amount of electric energy of the entire charging station. This electric energy meter is called a total meter. For the time interval for uploading the electric energy metering data of multiple charging piles, it is first necessary to ensure that in each time interval, the electric energy consumed by a single charging pile is greater than the electric energy value corresponding to the minimum division value of the electric energy meter. In addition, in order to increase the diversity of the data and improve the accuracy of the linear fit, the size of each time interval can be different. For example, the time interval can start from 5 minutes and gradually increase to 115 minutes, forming an arithmetic progression to ensure data diversity and improve the accuracy of the linear fit. Then, monitor and record the working status of each charging pile within the set time interval, including the charging state and the idle state. Among all the recorded data, the time interval data with the same working state of all charging piles are screened out to form a data set for subsequent calculation of the working error. For example, in a certain data set, in each time interval, the 2nd, 3rd, and 4th charging piles are in the charging state, while the 1st and 5th charging piles are in the idle state.

[0040] Step S202, respectively calculating the difference between the total amount of electric energy in multiple time intervals and the sum of the electric energy measurement values ​​corresponding to the multiple charging piles as the electric energy measurement difference corresponding to the multiple time intervals.

[0041] In this step, for each time interval in the acquired data set, the difference between the total amount of electric energy in the total meter and the sum of the electric energy metering values ​​of all charging piles in the charging state is calculated. This difference is the electric energy metering difference, which reflects the deviation between the total meter and the electric energy metering module of the charging pile. Ideally, it should be equal to the line loss in the charging station and other non-charging pile electric energy consumption. However, in actual applications, the charging pile electric energy metering module has working errors. Therefore, the working error can be estimated by this difference.

[0042] Step S203, based on the functional relationship between the electric energy metering difference and the electric energy metering values ​​corresponding to the plurality of charging piles, determine equations including parameters to be estimated corresponding to the plurality of time intervals, wherein the parameters to be estimated include the change rates corresponding to the plurality of charging piles.

[0043] In this step, according to the principle of energy conservation, the total amount of electric energy of the charging station should be equal to the sum of the electric energy consumption of all charging piles plus other electric energy losses in the charging station (such as line losses). However, when there is an error in the electric energy metering of the charging piles, there will be a deviation between the actual observed total amount of electric energy and the sum of the electric energy metering values ​​of the charging piles. Therefore, a functional relationship can be established to describe this deviation. Substituting the data corresponding to each of the multiple time intervals into this functional relationship, an equation corresponding to each of the multiple time intervals can be obtained. The equation contains parameters to be estimated, including the change rate corresponding to each of the multiple charging piles. The corresponding working error of each charging pile can be calculated through the change rate.

[0044] Step S204: determining estimated values ​​of the change rates corresponding to the plurality of charging posts based on equations corresponding to the plurality of time intervals.

[0045] In this step, based on the equations corresponding to the multiple time intervals, the least squares method can be used to estimate the parameters in the equations, that is, the values ​​of the change rates corresponding to the multiple charging piles. The basic idea of ​​the least squares method is to find a set of parameters that minimizes the sum of the square errors between the energy metering differences and the model prediction values ​​in all time intervals, and to find the optimal set of values ​​of the parameters to be estimated by fitting, including the estimated values ​​of the change rates corresponding to the multiple charging piles and other energy loss values ​​in the charging station.

[0046] Step S205: determining the operating errors corresponding to the plurality of charging piles respectively based on the estimated values ​​of the rates of change corresponding to the plurality of charging piles and the functional relationship with the operating errors corresponding to the plurality of charging piles respectively.

[0047] In this step, according to the law of conservation of energy, the relationship between the change rate and the working error corresponding to each of the multiple charging piles can be obtained. The change rate reflects the relationship between the charging pile electric energy metering value and the total meter electric energy metering value. The degree to which its value deviates from 1 represents the working error of the charging pile electric energy metering module. The greater the difference from 1, the greater the working error. For example, the parameter estimation results obtained for three different charging piles are a2 = -0.00031, a3 = -0.013, a4 = -0.046, and the corresponding working errors are calculated, respectively, and it can be obtained that γ2 = 0.0003, γ3 = 0.0135, γ4 = 0.0486, and the change rate of charging pile No. 3 deviates from 1 the least, so the corresponding working error is also smaller.

[0048] Through the above steps, the purpose of efficiently detecting the working errors of charging piles is achieved, thereby realizing the technical effect of reducing the cost and workload of charging pile calibration work and improving efficiency, thereby solving the current technical problem of low efficiency in on-site calibration of charging pile working errors.

[0049] As an optional embodiment, the difference between the total amount of electric energy in multiple time intervals and the sum of the electric energy metering values ​​corresponding to multiple charging piles is calculated as the electric energy metering difference corresponding to each of the multiple time intervals, including: obtaining the transmission network structure in the charging station; determining the line electric energy loss value in the charging station based on the transmission network structure; calculating the difference between the total amount of electric energy in multiple time intervals and the sum of the electric energy metering values ​​corresponding to each of the multiple charging piles, as the initial electric energy metering difference corresponding to each of the multiple time intervals; calculating the difference between the initial electric energy metering difference corresponding to each of the multiple time intervals and the line electric energy loss value in the charging station, as the electric energy metering difference corresponding to each of the multiple time intervals.

[0050] Optionally, when the topology of the power transmission network in the charging station is known, the line power loss value in the power transmission network can be calculated based on the node voltage and load current values ​​measured by the charging piles, and this part of the loss value can be subtracted from the initial power metering difference, thereby avoiding the impact of line loss fluctuations on the evaluation results. The power transmission network structure in the charging station includes the connection relationship between the charging piles, the main meter, and the lines, as well as the resistance, reactance and other parameters of the lines. This information is crucial for accurately calculating the line power loss value, because different network structures will result in different line losses.

[0051] As an optional embodiment, the expression corresponding to the functional relationship between the electric energy metering difference and the electric energy metering values ​​corresponding to the multiple charging piles is as follows:

[0052] ΔE=a1E1+a2E2+…a n E n +b

[0053] Among them, ΔE is the energy measurement difference, E1 to E n are the electric energy measurement values ​​corresponding to multiple charging piles, a1 to a n are the change rates corresponding to multiple charging piles respectively, and b is the other power loss value in the charging station.

[0054] Optionally, the expression corresponding to the functional relationship between the electric energy metering difference and the electric energy metering values ​​corresponding to each of the multiple charging piles can be determined based on the law of conservation of energy. According to the principle of conservation of energy, within a period of time, the electric energy metering value of the charging pile and the total amount of electric energy in the total meter should satisfy the following relationship:

[0055]

[0056] Among them, E sum is the total amount of electric energy in the total meter, E i is the electric energy measurement value of the i-th charging pile, E additionis other power loss values, including line loss in the charging station, etc. Therefore, based on the above relationship, the functional relationship between the power metering difference and the power metering values ​​corresponding to the multiple charging piles can be obtained. That is, ΔE, That is, the rate of change a i , E addition That is, the other power loss value b. In addition, if there are other loads connected to the total meter, when obtaining power data, the other loads in the charging station must remain constant to ensure the constancy of other power loss values ​​and avoid affecting parameter estimation. Through this functional relationship, the working errors of charging piles can be more accurately identified and evaluated to ensure the accuracy and fairness of power trading. The least squares method can find the best parameter estimate, thereby more accurately reflecting the metering performance of the charging pile. By calculating the rate of change parameter of each charging pile separately, the actual working error of the charging pile can be more accurately reflected, rather than just the overall deviation or average deviation.

[0057] As an optional embodiment, the expression corresponding to the functional relationship between the estimated value of the change rate corresponding to any one of the multiple charging piles and the working error is as follows:

[0058]

[0059] Among them, γ i is the working error of the i-th charging pile, is the estimated value of the change rate corresponding to the i-th charging pile.

[0060] Optionally, according to the energy conservation principle formula, the relationship between the working error and the rate of change can be obtained as follows:

[0061]

[0062] Among them, a i is the rate of change of the i-th charging pile, γ i is the working error corresponding to the i-th charging pile. Therefore, when the estimated value of the change rate is determined, the expression of the working error based on the estimated value of the change rate can be obtained, and the working error corresponding to the charging pile can be obtained by calculation.

[0063] As an optional embodiment, continue to obtain multiple groups of total electric energy of charging stations within multiple time intervals and electric energy metering values ​​corresponding to multiple charging piles; determine multiple working errors corresponding to the multiple charging piles based on multiple groups of total electric energy of charging stations within multiple time intervals and electric energy metering values ​​corresponding to multiple charging piles; calculate the confidence corresponding to each of the multiple working errors based on the confidence calculation formula; select the working error with the largest confidence among the multiple working errors as the target working error of the corresponding charging pile.

[0064] Optionally, multiple groups of data can be acquired. It is only necessary to ensure that the working status of all charging piles is the same within multiple time intervals of each group of data, so that the working error can be calculated for each group of data. After performing the above calculation steps to determine the working error for each group of data, a variety of possible working errors corresponding to each charging pile can be obtained, and it is necessary to select the most practical value from them as the final result. Based on the correlation index in the least squares fitting process and the correlation coefficient between the electric energy metering value of the charging pile and the electric energy metering difference, a specific calculation formula can be used to evaluate the confidence of each working error. The confidence index is an important quantitative standard for the reliability of the evaluation results, which can help determine which evaluation results are more credible. After obtaining the working errors and their confidence levels of multiple charging piles, the working error with the highest confidence level is selected as the target working error of the charging pile.

[0065] As an optional embodiment, the confidence calculation formula is as follows:

[0066]

[0067] Among them, C i is the confidence level of the working error corresponding to the i-th charging pile, R is the correlation index corresponding to the fitting process of determining the working error, is the correlation coefficient between the electric energy measurement value and the electric energy measurement difference corresponding to the i-th charging pile.

[0068] Optionally, confidence is an important indicator for measuring the reliability of the results of the performance evaluation of electric energy metering. It is based on the principles of mathematical statistics and provides a quantitative standard to judge the credibility of the evaluation results by analyzing the correlation index in the fitting process and the correlation between the data. In the confidence calculation formula of the present invention, R is the correlation index corresponding to the fitting process for determining the working error, which indicates the degree of match between the fitting line and the actual data points, and its value range is usually between -1 and 1. R close to 1 means that the data points are closely distributed along the fitting line, the model has a good fitting effect, and the reliability of the evaluation results is high; conversely, R is close to 0 or farther, which means that the data points are scattered, the fitting effect is poor, and the reliability of the evaluation results is low. The calculation formula of R is as follows:

[0069]

[0070] Wherein, the subscript k represents the electric energy metering data in the kth time interval, is the average value of ΔE.

[0071] In the confidence calculation formula of the present invention, is the correlation coefficient between the electric energy measurement value and the electric energy measurement difference corresponding to the i-th charging pile, which describes the linear correlation between the electric energy measurement value and the electric energy measurement difference of the i-th charging pile. Its calculation is based on the covariance and variance of the two sets of data. If If the value of is close to 1 or -1, it indicates that there is a strong linear relationship between the two sets of data, that is, the working state of the charging pile has a significant impact on the change of the electric energy metering difference, and the confidence of the evaluation result is high; if If it is close to 0, it means that the correlation between the two sets of data is weak, the relationship between the working status and the change in the electric energy metering difference is unclear, and the confidence level of the evaluation result is low. The calculation formula is as follows:

[0072]

[0073] Among them, Cov(E i ,ΔE) is E i and the covariance of ΔE, and Var ΔE E i and the variance of ΔE.

[0074] As an optional embodiment, the number of the multiple time intervals is not less than 2(n+1), where n is the number of charging piles in a charging state among the multiple charging piles.

[0075] Optionally, during the fitting process, the number of data obtained for multiple time intervals is at least 2 (n + 1), where n represents the number of charging piles in the charging state. For example, if there are 3 charging piles in the charging state within a certain time interval, then the other data sets used together with the above time interval to calculate the working error of the charging pile should also ensure that the same 3 charging piles are in the charging state, and the number of these time intervals is at least 8 (i.e., 2 (3 + 1) = 8). This requirement is based on the principle of least squares in statistics, and sufficient data points can be used for model fitting, thereby improving the accuracy of the least squares method for estimating the working error parameters. More data points can better reflect the electric energy metering characteristics of the charging pile under different conditions, and reduce the deviation of the model fitting and the influence of random errors. If the number of collected data time intervals is less than 2 (n + 1), the least squares model fitting based on these data may be affected, resulting in a decrease in the accuracy of the working error assessment. In this case, the evaluation results may be affected by random errors or uneven data distribution, and the reliability is not high.

[0076] As an optional embodiment, a charging pile electric energy metering performance evaluation process is also provided. Figure 3 1 is a flow chart of a charging pile electric energy metering performance evaluation process provided according to an optional embodiment of the present invention. Figure 3As shown in the figure, by analyzing the relationship between the total meter and the electric energy metering values ​​of the charging pile, the working error of the charging pile is estimated using the principle of least squares method, and the working error with the largest confidence is taken as the final performance evaluation result of the corresponding charging pile.

[0077] Optionally, a specific embodiment may be provided. For example, the charging station in this embodiment may include 5 charging piles. Figure 4 It is a wiring diagram of a charging pile and a total meter provided according to an optional embodiment of the present invention. The working errors measured on site of the charging pile are: 0.01, 0.02, -0.01, 0.05, -0.04. The original electric energy metering data of the charging pile and the total meter are shown in Tables 1 to 6, respectively, which contain a total of 120 time intervals. Since the power of the charging pile remains basically constant during the charging process, in order to increase the diversity of the data and improve the accuracy of the linear fit, the time span of the time interval in this embodiment starts from 5 minutes and increases to 115 minutes in the form of an arithmetic progression, and the tolerance of the arithmetic progression is 5 minutes.

[0078]

[0079]

[0080] Table 1 Original power metering data of charging pile No. 1

[0081]

[0082]

[0083] Table 2 Original power metering data of charging pile No. 2

[0084]

[0085]

[0086] Table 3 Original power metering data of charging pile No. 3

[0087]

[0088]

[0089] Table 4 Original power metering data of No. 4 charging pile

[0090]

[0091]

[0092] Table 5 Original power metering data of No. 5 charging pile

[0093]

[0094]

[0095] Table 6 Original electric energy metering data table of the total table

[0096] Furthermore, based on the original electric energy metering data, a data set for evaluating the electric energy metering performance of charging piles is screened out. For example, in this embodiment, in the time intervals numbered 3, 4, 5, 6, 7, 20, 84, 95, and 96, the working states of all charging piles are the same, where piles No. 2, 3, and 4 are in the charging pile state, and piles No. 1 and 5 are in the idle state. Since the number of time intervals is 9 and the number of charging piles in the charging state is 3, this data set meets the requirements of the data set for evaluating the electric energy metering of charging piles.

[0097] Furthermore, the difference between the total meter's electric energy metering value and the sum of the charging pile's electric energy metering values ​​(referred to as the electric energy metering difference) is calculated, and based on the principle of least squares, the relationship between the charging pile's electric energy metering value and the electric energy metering difference is fitted. For example, in the above data set, the electric energy metering difference in different intervals is shown in Table 7.

[0098]

[0099]

[0100] Table 7 Data table for evaluating the performance of electric energy metering of a charging pile

[0101] In a single time interval, the energy metering difference and the charging pile energy metering value should satisfy the following relationship:

[0102] ΔE=a2E2+a3E3+a4E4+b

[0103] Using the data in Table 7, based on the principle of least squares method, the parameters in the formula are estimated, and the estimation results are: a2=-0.00031, a3=-0.013, a4=-0.046, b=0.018; then based on the working error calculation formula, the working error evaluation values ​​of the corresponding charging piles are calculated as follows: γ2=0.0003, γ3=0.0135, γ4=0.0486.

[0104] Furthermore, based on the correlation index of the least squares fitting and the correlation coefficient between the electric energy metering values, the confidence of the evaluation results is given. The correlation index of the least squares fitting of the above data set is 0.99, and the correlation coefficients between the electric energy metering data of charging piles 2, 3, and 4 and the electric energy metering difference are -0.79, -0.88, and -0.98, respectively. Therefore, the confidence of the evaluation results of the working errors of charging piles 2, 3, and 4 in this data set are 0.78, 0.87, and 0.97, respectively.

[0105] Furthermore, other data sets are used to complete the evaluation of the working error of the charging pile. When the working error of the same charging pile is evaluated multiple times, the value with the highest confidence is used as the final evaluation result. Finally, the evaluation results of this embodiment are: γ1 = 0.013, γ2 = 0.019, γ3 = -0.009, γ4 = 0.048, γ5 = -0.041, and the confidence levels corresponding to the evaluation results are: 0.32, 0.88, 0.99, 0.97 and 0.55, respectively. It can be seen from the above results that the evaluation results in this example are very close to the actual working error of the charging pile on-site verification.

[0106] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0107] Through the description of the above implementation methods, those skilled in the art can clearly understand that the working error determination method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0108] According to an embodiment of the present invention, a device for implementing the above working error determination method is also provided. Figure 5 is a structural block diagram of a working error determination device provided according to an embodiment of the present invention. Figure 5 As shown, the device includes: an acquisition module 51, a calculation module 52, a first determination module 53, a second determination module 54 and a third determination module 55. The device is described below.

[0109] The acquisition module 51 is used to respectively obtain the total amount of electric energy of the charging station and the electric energy measurement values ​​corresponding to each of the multiple charging piles in multiple time intervals, wherein the multiple charging piles are located in the charging station, and the working status of the multiple charging piles in any time interval among the multiple time intervals is the same as that in the other time intervals, and the working status includes a charging status and an idle status.

[0110] The calculation module 52 is connected to the acquisition module 51 and is used to calculate the difference between the total amount of electric energy in multiple time intervals and the sum of the electric energy measurement values ​​corresponding to multiple charging piles as the electric energy measurement difference corresponding to the multiple time intervals.

[0111] The first determination module 53 is connected to the calculation module 52, and is used to determine equations including parameters to be estimated corresponding to multiple time intervals based on the functional relationship between the electric energy metering difference and the electric energy metering values ​​corresponding to the multiple charging piles, wherein the parameters to be estimated include the change rates corresponding to the multiple charging piles.

[0112] The second determination module 54 is connected to the first determination module 53, and is used to determine the estimated values ​​of the change rates corresponding to the plurality of charging piles based on the equations corresponding to the plurality of time intervals.

[0113] The third determination module 55 is connected to the second determination module 54, and is used to determine the working errors corresponding to the multiple charging piles based on the estimated values ​​of the change rates corresponding to the multiple charging piles and the functional relationship with the working errors corresponding to the multiple charging piles.

[0114] It should be noted that the acquisition module 51, the calculation module 52, the first determination module 53, the second determination module 54 and the third determination module 55 correspond to steps S201 to S205 in the embodiment, and the examples and application scenarios implemented by the multiple modules and the corresponding steps are the same, but are not limited to the contents disclosed in the above embodiment. It should be noted that the above modules, as part of the device, can be run in the computer terminal 10 provided in the embodiment.

[0115] An embodiment of the present invention may provide a computer device. Optionally, in this embodiment, the computer device may be located in at least one network device among multiple network devices of a computer network. The computer device includes a memory and a processor.

[0116] Among them, the memory can be used to store software programs and modules, such as program instructions / modules corresponding to the working error determination method and device in the embodiment of the present invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, the working error determination method described above is realized. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0117] The processor can call the information and application program stored in the memory through the transmission device to perform the following steps: respectively obtain the total amount of electric energy of the charging station and the electric energy metering values ​​corresponding to each of the multiple charging piles in multiple time intervals, wherein the multiple charging piles are located in the charging station, and the working state of the multiple charging piles in any time interval among the multiple time intervals is the same as that in the other time intervals, and the working state includes a charging state and an idle state; respectively calculate the difference between the total amount of electric energy in the multiple time intervals and the sum of the electric energy metering values ​​corresponding to each of the multiple charging piles as the electric energy metering difference corresponding to each of the multiple time intervals; based on the functional relationship between the electric energy metering difference and the electric energy metering values ​​corresponding to each of the multiple charging piles, determine the equations including the parameters to be estimated corresponding to each of the multiple time intervals, wherein the parameters to be estimated include the change rates corresponding to each of the multiple charging piles; based on the equations corresponding to each of the multiple time intervals, determine the estimated values ​​of the change rates corresponding to each of the multiple charging piles; based on the estimated values ​​of the change rates corresponding to each of the multiple charging piles and the functional relationship with the corresponding working errors, determine the working errors corresponding to each of the multiple charging piles.

[0118] Optionally, the processor may also execute the program code of the following steps: respectively calculating the difference between the total amount of electric energy in multiple time intervals and the sum of the electric energy metering values ​​corresponding to each of the multiple charging piles, as the electric energy metering difference corresponding to each of the multiple time intervals, including: obtaining the transmission network structure in the charging station; determining the line electric energy loss value in the charging station based on the transmission network structure; respectively calculating the difference between the total amount of electric energy in multiple time intervals and the sum of the electric energy metering values ​​corresponding to each of the multiple charging piles, as the initial electric energy metering difference corresponding to each of the multiple time intervals; respectively calculating the difference between the initial electric energy metering difference corresponding to each of the multiple time intervals and the line electric energy loss value in the charging station, as the electric energy metering difference corresponding to each of the multiple time intervals.

[0119] Optionally, the processor may further execute the program code of the following steps: the expression corresponding to the functional relationship between the electric energy measurement difference and the electric energy measurement values ​​corresponding to the multiple charging piles is as follows:

[0120] ΔE=a1E1+a2E2+…a n E n +b

[0121] Among them, ΔE is the energy measurement difference, E1 to E n are the electric energy measurement values ​​corresponding to multiple charging piles, a1 to a n are the change rates corresponding to multiple charging piles respectively, and b is the other power loss value in the charging station.

[0122] Optionally, the processor may further execute the program code of the following steps: the expression corresponding to the functional relationship between the estimated value of the change rate corresponding to any one of the multiple charging piles and the working error is as follows:

[0123]

[0124] Among them, γ i is the working error of the i-th charging pile, is the estimated value of the change rate corresponding to the i-th charging pile.

[0125] Optionally, the processor may also execute the program code of the following steps: continue to obtain multiple groups of total electric energy of the charging station within multiple time intervals and the electric energy measurement values ​​corresponding to each of the multiple charging piles; determine multiple working errors corresponding to each of the multiple charging piles based on multiple groups of total electric energy of the charging station within multiple time intervals and the electric energy measurement values ​​corresponding to each of the multiple charging piles; calculate the confidence corresponding to each of the multiple working errors based on the confidence calculation formula; select the working error with the largest confidence among the multiple working errors as the target working error of the corresponding charging pile.

[0126] Optionally, the processor may further execute the program code of the following steps: The confidence calculation formula is as follows:

[0127]

[0128] Among them, C i is the confidence level of the working error corresponding to the i-th charging pile, R is the correlation index corresponding to the fitting process of determining the working error, is the correlation coefficient between the electric energy measurement value and the electric energy measurement difference corresponding to the i-th charging pile.

[0129] Optionally, the processor may also execute program code of the following steps: the number of the multiple time intervals is not less than 2(n+1), where n is the number of charging piles in a charging state among the multiple charging piles.

[0130] According to an embodiment of the present invention, a method for determining a working error is provided. By respectively obtaining the total amount of electric energy of the charging station and the electric energy metering values ​​corresponding to each of the multiple charging piles in multiple time intervals, wherein the multiple charging piles are located in the charging station, and the working states of the multiple charging piles in any time interval among the multiple time intervals are the same as those in the other time intervals, and the working states include a charging state and an idle state; respectively calculating the difference between the total amount of electric energy in the multiple time intervals and the sum of the electric energy metering values ​​corresponding to each of the multiple charging piles as the electric energy metering difference corresponding to each of the multiple time intervals; based on the functional relationship between the electric energy metering difference and the electric energy metering values ​​corresponding to each of the multiple charging piles, determining the equations including the parameters to be estimated corresponding to each of the multiple time intervals, wherein the parameters to be estimated include the change rates corresponding to each of the multiple charging piles; based on the equations corresponding to each of the multiple time intervals, determining the estimated values ​​of the change rates corresponding to each of the multiple charging piles; based on the estimated values ​​of the change rates corresponding to each of the multiple charging piles and the functional relationship with the corresponding working errors, determining the working errors corresponding to each of the multiple charging piles, the purpose of efficiently detecting the working errors of the charging piles is achieved, thereby achieving the technical effect of reducing the cost and workload of the charging pile calibration work and improving the efficiency, thereby solving the technical problem of low efficiency in the current on-site calibration of the working errors of the charging piles.

[0131] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the hardware related to the terminal device through a program, and the program can be stored in a non-volatile storage medium, and the storage medium may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0132] The embodiment of the present invention further provides a non-volatile storage medium. Optionally, in this embodiment, the non-volatile storage medium can be used to store the program code executed by the working error determination method provided in the embodiment.

[0133] Optionally, in this embodiment, the non-volatile storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group.

[0134] Optionally, in this embodiment, the non-volatile storage medium is configured to store program codes for executing the following steps: respectively obtaining the total amount of electric energy of the charging station and the electric energy metering values ​​corresponding to each of the multiple charging piles in multiple time intervals, wherein the multiple charging piles are located in the charging station, and the working states of the multiple charging piles in any time interval of the multiple time intervals are the same as those in the other time intervals, and the working states include charging states and idle states; respectively calculating the difference between the total amount of electric energy in the multiple time intervals and the sum of the electric energy metering values ​​corresponding to each of the multiple charging piles as the electric energy metering difference corresponding to each of the multiple time intervals; determining equations including parameters to be estimated corresponding to each of the multiple time intervals based on a functional relationship between the electric energy metering difference and the electric energy metering values ​​corresponding to each of the multiple charging piles, wherein the parameters to be estimated include the change rates corresponding to each of the multiple charging piles; determining estimated values ​​of the change rates corresponding to each of the multiple charging piles based on the equations corresponding to each of the multiple time intervals; determining working errors corresponding to each of the multiple charging piles based on the estimated values ​​of the change rates corresponding to each of the multiple charging piles and a functional relationship with the working errors corresponding to each of the multiple charging piles.

[0135] Optionally, in this embodiment, the non-volatile storage medium is configured to store program codes for executing the following steps: respectively calculating the difference between the total amount of electric energy in multiple time intervals and the sum of the electric energy metering values ​​corresponding to each of the multiple charging piles, as the electric energy metering difference corresponding to each of the multiple time intervals, including: obtaining the transmission network structure in the charging station; determining the line electric energy loss value in the charging station based on the transmission network structure; respectively calculating the difference between the total amount of electric energy in multiple time intervals and the sum of the electric energy metering values ​​corresponding to each of the multiple charging piles, as the initial electric energy metering difference corresponding to each of the multiple time intervals; respectively calculating the difference between the initial electric energy metering difference corresponding to each of the multiple time intervals and the line electric energy loss value in the charging station, as the electric energy metering difference corresponding to each of the multiple time intervals.

[0136] Optionally, in this embodiment, the non-volatile storage medium is configured to store program codes for executing the following steps: the expression corresponding to the functional relationship between the electric energy metering difference and the electric energy metering values ​​corresponding to each of the plurality of charging piles is as follows:

[0137] ΔE=a1E1+a2E2+…a n E n +b

[0138] Among them, ΔE is the energy measurement difference, E1 to E n are the electric energy measurement values ​​corresponding to multiple charging piles, a1 to a n are the change rates corresponding to multiple charging piles respectively, and b is the other power loss value in the charging station.

[0139] Optionally, in this embodiment, the non-volatile storage medium is configured to store program codes for executing the following steps: the expression corresponding to the functional relationship between the estimated value of the rate of change corresponding to any one of the plurality of charging piles and the working error is as follows:

[0140]

[0141] Among them, γ i is the working error of the i-th charging pile, is the estimated value of the change rate corresponding to the i-th charging pile.

[0142] Optionally, in this embodiment, the non-volatile storage medium is configured to store program codes for executing the following steps: continue to obtain multiple groups of total electric energy of charging stations within multiple time intervals and electric energy metering values ​​corresponding to each of the multiple charging piles; determine multiple working errors corresponding to each of the multiple charging piles based on multiple groups of total electric energy of charging stations within multiple time intervals and electric energy metering values ​​corresponding to each of the multiple charging piles; calculate the confidence levels corresponding to each of the multiple working errors based on a confidence calculation formula; and select the working error with the largest confidence level among the multiple working errors as the target working error of the corresponding charging pile.

[0143] Optionally, in this embodiment, the non-volatile storage medium is configured to store program codes for executing the following steps: The confidence calculation formula is as follows:

[0144]

[0145] Among them, C i is the confidence level of the working error corresponding to the i-th charging pile, R is the correlation index corresponding to the fitting process of determining the working error, is the correlation coefficient between the electric energy measurement value and the electric energy measurement difference corresponding to the i-th charging pile.

[0146] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for executing the following steps: the number of multiple time intervals is not less than 2(n+1), where n is the number of charging piles in a charging state among the multiple charging piles.

[0147] An embodiment of the present invention further provides a computer program product, including a computer program. Optionally, in this embodiment, when the computer program is executed by a processor, it can achieve: respectively obtaining the total amount of electric energy of a charging station and the electric energy metering values ​​corresponding to each of the multiple charging piles in multiple time intervals, wherein the multiple charging piles are located in the charging station, and the working states of the multiple charging piles in any time interval of the multiple time intervals are the same as those in the other time intervals, and the working states include charging states and idle states; respectively calculating the difference between the total amount of electric energy in the multiple time intervals and the sum of the electric energy metering values ​​corresponding to each of the multiple charging piles as the electric energy metering difference corresponding to each of the multiple time intervals; based on the functional relationship between the electric energy metering difference and the electric energy metering values ​​corresponding to each of the multiple charging piles, determining equations including parameters to be estimated corresponding to each of the multiple time intervals, wherein the parameters to be estimated include the change rates corresponding to each of the multiple charging piles; based on the equations corresponding to each of the multiple time intervals, determining the estimated values ​​of the change rates corresponding to each of the multiple charging piles; based on the estimated values ​​of the change rates corresponding to each of the multiple charging piles and the functional relationship with the corresponding working errors, determining the working errors corresponding to each of the multiple charging piles.

[0148] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0149] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0150] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0151] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0152] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0153] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a non-volatile storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0154] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for determining a working error, characterized in that: include: Respectively obtaining the total amount of electric energy of the charging station and the electric energy measurement values ​​corresponding to each of the multiple charging piles in multiple time intervals, wherein the multiple charging piles are located in the charging station, and the working states of the multiple charging piles in any time interval of the multiple time intervals are the same as those in the other time intervals, and the working states include charging state and idle state; Calculate the difference between the total amount of electric energy in the multiple time intervals and the sum of the electric energy measurement values ​​corresponding to the multiple charging piles respectively as the electric energy measurement difference corresponding to the multiple time intervals; Based on the functional relationship between the electric energy metering difference and the electric energy metering values ​​corresponding to each of the plurality of charging piles, determining equations including parameters to be estimated corresponding to each of the plurality of time intervals, wherein the parameters to be estimated include the change rates corresponding to each of the plurality of charging piles; Determine, based on equations corresponding to the multiple time intervals, estimated values ​​of the rates of change corresponding to the multiple charging posts; Based on the estimated values ​​of the change rates corresponding to the multiple charging piles and the functional relationship with the corresponding working errors, the working errors corresponding to the multiple charging piles are determined.

2. The method according to claim 1, characterized in that The respectively calculating the difference between the total amount of electric energy in the multiple time intervals and the sum of the electric energy measurement values ​​corresponding to the multiple charging piles as the electric energy measurement difference corresponding to the multiple time intervals, includes: Acquiring a power transmission network structure within the charging station; Based on the power transmission network structure, determining a line power loss value within the charging station; Calculate the difference between the total amount of electric energy in the multiple time intervals and the sum of the electric energy measurement values ​​corresponding to the multiple charging piles respectively as the initial electric energy measurement difference corresponding to the multiple time intervals; Differences between initial electric energy measurement differences corresponding to each of the multiple time intervals and a line electric energy loss value in the charging station are calculated respectively as electric energy measurement differences corresponding to each of the multiple time intervals.

3. The method according to claim 1, characterized in that The expression corresponding to the functional relationship between the electric energy measurement difference and the electric energy measurement values ​​corresponding to each of the plurality of charging piles is as follows: ΔE=a1E1+a2E2+…a n AND n +b Wherein, ΔE is the electric energy measurement difference, E1 to E n are the electric energy measurement values ​​corresponding to the multiple charging piles, a1 to a n are the change rates corresponding to the multiple charging piles respectively, and b is other power loss values ​​in the charging station.

4. The method according to claim 1, characterized in that The expression corresponding to the functional relationship between the estimated value of the change rate corresponding to any one of the multiple charging piles and the working error is as follows: Among them, γ i is the working error of the i-th charging pile, is the estimated value of the change rate corresponding to the i-th charging pile.

5. The method according to claim 1, characterized in that: Also includes: Continue to obtain multiple groups of total electric energy of the charging station and electric energy metering values ​​corresponding to each of the multiple charging piles in multiple time intervals; Determine a plurality of working errors corresponding to the plurality of charging piles based on the plurality of groups of total electric energy of the charging station in the plurality of time intervals and the electric energy metering values ​​corresponding to the plurality of charging piles; Based on the confidence calculation formula, respectively calculate the confidence corresponding to each of the multiple working errors; The working error with the highest confidence among the multiple working errors is selected as the target working error of the corresponding charging pile.

6. The method according to claim 5, characterized in that The confidence calculation formula is as follows: Among them, C i is the confidence level of the working error corresponding to the i-th charging pile, R is the correlation index corresponding to the fitting process for determining the working error, is the correlation coefficient between the electric energy measurement value and the electric energy measurement difference corresponding to the i-th charging pile.

7. The method according to claim 1, characterized in that The number of the multiple time intervals is not less than 2(n+1), where n is the number of charging piles in a charging state among the multiple charging piles.

8. A working error determination device, characterized in that: include: an acquisition module, used to respectively acquire the total amount of electric energy of the charging station and the electric energy measurement values ​​corresponding to each of the plurality of charging piles in a plurality of time intervals, wherein the plurality of charging piles are located in the charging station, and the working states of the plurality of charging piles in any one of the plurality of time intervals are the same as those in the remaining time intervals, and the working states include a charging state and an idle state; A calculation module, used to calculate the difference between the total amount of electric energy in the multiple time intervals and the sum of the electric energy measurement values ​​corresponding to the multiple charging piles, as the electric energy measurement difference corresponding to the multiple time intervals; A first determination module is used to determine equations including parameters to be estimated corresponding to each of the multiple time intervals based on a functional relationship between the electric energy metering difference and the electric energy metering values ​​corresponding to each of the multiple charging piles, wherein the parameters to be estimated include the change rates corresponding to each of the multiple charging piles; A second determination module, configured to determine an estimated value of a change rate corresponding to each of the plurality of charging piles based on an equation corresponding to each of the plurality of time intervals; The third determination module is used to determine the working errors corresponding to each of the plurality of charging piles based on the estimated values ​​of the change rates corresponding to each of the plurality of charging piles and the functional relationship with the working errors corresponding to each of the plurality of charging piles.

9. A non-volatile storage medium, characterized in that: The non-volatile storage medium includes a stored program, wherein when the program is executed, the device where the non-volatile storage medium is located is controlled to execute the working error determination method according to any one of claims 1 to 7.

10. A computer device, characterized in that: include: Memory and processor, The memory stores a computer program; The processor is used to execute the computer program stored in the memory, and when the computer program is run, the processor executes the working error determination method according to any one of claims 1 to 7.

11. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the working error determination method according to any one of claims 1 to 7 is implemented.

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