Charging pile performance evaluation method and device, and electronic equipment
By constructing an interactive information matrix and correcting the working errors of charging piles, the problem of low efficiency in charging pile performance evaluation was solved, and more efficient performance evaluation was achieved.
Patent Information
- Application Number
- CN202411628820.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-14
- Publication Date
- 2025-11-21
- Estimated Expiration
- 2044-11-14
AI Technical Summary
Existing technologies for evaluating the performance of charging piles are inefficient and cannot meet the testing needs of the rapidly growing number of electric vehicles. They also suffer from problems such as high testing losses, low efficiency, and high costs.
By establishing an interactive information matrix and utilizing the charging data of multiple electric vehicles at reference and evaluated charging stations, the initial operating error of the evaluated charging station is corrected based on the modified interactive information matrix, and its target operating error is determined, thereby evaluating the performance of the charging station.
This improves the efficiency of charging pile performance evaluation, avoids the inefficiency of on-site verification, and achieves more efficient performance evaluation.
Smart Images

Figure CN119599266B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of charging piles, in particular to a charging pile performance evaluation method and device and electronic equipment. BACKGROUND
[0002] At present, the charging and discharging facilities (for example, charging piles) in operation need to be periodically calibrated to ensure the safety of the charging and discharging facilities. In related technologies, the measurement and calibration method adopted for the charging and discharging facilities is mainly that professional measurement and calibration personnel carry multiple charging and discharging facility on-site calibration devices to the site where the charging and discharging facilities are installed, and the measurement performance of all the charging and discharging facilities in operation is calibrated one by one by using the actual load calibration method. This method has the disadvantages of large calibration loss, low efficiency, high cost, etc. Moreover, the charging and discharging facilities in operation are from many manufacturers, and have the characteristics of being scattered, wide, large in quantity, and uneven in quality. With the rapid growth of the number of electric vehicles, the existing calibration method cannot meet the needs of periodic calibration, and it is extremely difficult to implement performance calibration.
[0003] At present, no effective solution has been proposed for the above problems. SUMMARY
[0004] The embodiments of the present application provide a charging pile performance evaluation method and device and electronic equipment to at least solve the technical problem of low evaluation efficiency in related technologies that the performance of the charging pile is evaluated by using the on-site calibration method.
[0005] According to an aspect of an embodiment of the present application, a charging pile performance evaluation method is provided, including: establishing an interaction information matrix, wherein the interaction information matrix includes: a charging data based on multiple electric vehicles charging on multiple reference piles and a charging data of multiple electric vehicles charging on an evaluated pile, a constructed matrix, the reference piles include charging piles whose performance has been evaluated by using the on-site calibration method, and the evaluated pile includes a charging pile to be evaluated; based on the working error of multiple reference piles and the initial working error of the evaluated pile, the interaction information matrix is corrected to obtain a corrected interaction information matrix, wherein the initial working error of the evaluated pile includes the working error obtained by the last performance evaluation of the evaluated pile; based on the corrected interaction information matrix, the initial working error of the evaluated pile is corrected to obtain a corrected initial working error; based on the corrected initial working error, the target working error of the evaluated pile is determined, wherein the target working error of the evaluated pile is used to represent the evaluation result of the performance evaluation of the evaluated pile this time.
[0006] Further, based on the corrected interaction information matrix, the initial working error of the evaluated pile is corrected to obtain a corrected initial working error, including: based on the corrected interaction information matrix, determining a virtual standard energy estimation value of each electric vehicle, wherein the virtual standard energy estimation value of each electric vehicle is used to represent an estimation value of electric energy corresponding to a unit state of charge of the electric vehicle; based on the virtual standard energy estimation value of each electric vehicle and the corrected interaction information matrix, the initial working error of the evaluated pile is corrected to obtain the corrected initial working error.
[0007] Further, based on the corrected interaction information matrix, a virtual standard energy estimation value of each electric vehicle is determined, including: based on the corrected interaction information matrix, a confidence degree of electric energy metering of a plurality of reference piles is calculated to obtain electric energy metering confidence degrees of the plurality of reference piles; based on the electric energy metering confidence degrees of the plurality of reference piles and the corrected interaction information matrix, the virtual standard energy estimation value of each electric vehicle is determined.
[0008] Further, based on the virtual standard energy estimation value of each electric vehicle and the corrected interaction information matrix, the initial working error of the evaluated pile is corrected to obtain the corrected initial working error, including: based on the electric energy metering confidence degrees of the plurality of reference piles and the corrected interaction information matrix, a confidence degree of electric energy metering of the evaluated pile is calculated to obtain an electric energy metering confidence degree of the evaluated pile; based on the electric energy metering confidence degrees of the plurality of reference piles, the electric energy metering confidence degree of the evaluated pile and the corrected interaction information matrix, the virtual standard energy estimation value of each electric vehicle is updated to obtain an updated virtual standard energy estimation value of each electric vehicle; based on the updated virtual standard energy estimation value of each electric vehicle, the corrected interaction information matrix, the initial working error of the evaluated pile is corrected to obtain the corrected initial working error.
[0009] Further, after the target working error of the evaluated pile is determined based on the corrected initial working error, it further includes: based on the corrected initial working error, the corrected interaction information matrix is updated to obtain an updated interaction information matrix; based on the corrected initial working error, the electric energy metering confidence degrees of the plurality of reference piles and the electric energy metering confidence degree of the evaluated pile are updated to obtain updated electric energy metering confidence degrees.
[0010] Further, based on the corrected initial working error, the target working error of the evaluated pile is determined, including: based on the corrected initial working error and the initial working error, judging whether to correct the corrected initial working error again to obtain a judgment result; in the case that the judgment result indicates that the corrected initial working error is corrected again, based on the corrected initial working error, the updated interaction information matrix and the updated electric energy measurement confidence, the corrected initial working error is corrected again to obtain a correction result, and the target working error of the evaluated pile is determined based on the correction result; in the case that the judgment result indicates that the corrected initial working error does not need to be corrected again, the corrected initial working error is determined as the target working error of the evaluated pile.
[0011] Further, the interaction information matrix is established, including: obtaining charging data of multiple electric vehicles charging at multiple reference piles and charging data of multiple electric vehicles charging at the evaluated pile to obtain charging interaction data, wherein the charging data at least includes: the identity of the reference pile, the identity of the evaluated pile, the identity of the electric vehicle, the measurement value of the electric energy of each electric vehicle charging at the reference pile and the evaluated pile, and the change amount of the state of charge of each electric vehicle charging at the reference pile and the evaluated pile; based on the charging interaction data, a virtual electric energy matrix is established, wherein the elements in the virtual electric energy matrix are used to represent the calculation value of the electric energy corresponding to the unit state of charge; based on the virtual electric energy matrix and the charging interaction data, a standard deviation matrix is established, wherein the elements in the standard deviation matrix include: the standard deviation determined based on the elements in the virtual electric energy matrix; based on the virtual electric energy matrix and the standard deviation matrix, the interaction information matrix is determined.
[0012] Further, at least one of the electric vehicles has charged at the reference pile and the evaluated pile, and the number of multiple reference piles is less than a preset number threshold.
[0013] According to another aspect of the embodiments of the present application, there is also provided a charging pile performance evaluation device, comprising: a establishing unit configured to establish an interaction information matrix, wherein the interaction information matrix comprises: charging data based on charging of a plurality of electric vehicles on a plurality of reference piles and charging data based on charging of the plurality of electric vehicles on an evaluated pile, the reference piles comprising charging piles that have been evaluated in performance by means of on-site inspection, and the evaluated pile comprising a charging pile to be evaluated in performance; a first correction unit configured to correct the interaction information matrix based on working errors of the plurality of reference piles and an initial working error of the evaluated pile to obtain a corrected interaction information matrix, wherein the initial working error of the evaluated pile comprises a working error obtained by a previous performance evaluation of the evaluated pile; a second correction unit configured to correct the initial working error of the evaluated pile based on the corrected interaction information matrix to obtain a corrected initial working error; and a determining unit configured to determine a target working error of the evaluated pile based on the corrected initial working error, wherein the target working error of the evaluated pile is used to represent an evaluation result of the performance evaluation of the evaluated pile.
[0014] Further, the second correction unit comprises: a first determining subunit configured to determine a virtual electric energy standard estimate value of each of the electric vehicles based on the corrected interaction information matrix, wherein the virtual electric energy standard estimate value of each of the electric vehicles is used to represent an estimate value of electric energy corresponding to a unit state of charge of the electric vehicle; and a correction subunit configured to correct the initial working error of the evaluated pile based on the virtual electric energy standard estimate value of each of the electric vehicles and the corrected interaction information matrix to obtain the corrected initial working error.
[0015] Further, the first determining subunit comprises: a first calculation module configured to calculate confidence degrees of electric energy metering of the plurality of reference piles based on the corrected interaction information matrix to obtain the confidence degrees of electric energy metering of the plurality of reference piles; and a determining module configured to determine the virtual electric energy standard estimate value of each of the electric vehicles based on the confidence degrees of electric energy metering of the plurality of reference piles and the corrected interaction information matrix.
[0016] Further, the correction subunit comprises: a second calculation module, configured to calculate a confidence level of the electric energy metering of the evaluated pile based on the confidence levels of the electric energy metering of the reference piles and the corrected interaction information matrix, to obtain the confidence level of the electric energy metering of the evaluated pile; an updating module, configured to update the virtual electric energy standard estimation value of each electric vehicle based on the confidence levels of the electric energy metering of the reference piles, the confidence level of the electric energy metering of the evaluated pile and the corrected interaction information matrix, to obtain the updated virtual electric energy standard estimation value of each electric vehicle; and a correction module, configured to correct the initial working error of the evaluated pile based on the updated virtual electric energy standard estimation value of each electric vehicle and the corrected interaction information matrix, to obtain the corrected initial working error.
[0017] Further, the charging pile performance evaluation device further comprises: a first updating unit, configured to update the corrected interaction information matrix based on the corrected initial working error after determining the target working error of the evaluated pile; a second updating unit, configured to update the confidence levels of the electric energy metering of the reference piles and the confidence level of the electric energy metering of the evaluated pile based on the corrected initial working error, to obtain the updated confidence levels of the electric energy metering.
[0018] Further, the determination unit comprises: a judgment subunit, configured to judge whether the corrected initial working error needs to be corrected again based on the corrected initial working error and the initial working error, to obtain a judgment result; a first processing subunit, configured to correct the corrected initial working error again based on the corrected initial working error, the updated interaction information matrix and the updated confidence levels of the electric energy metering in a case where the judgment result indicates that the corrected initial working error needs to be corrected again, to obtain a correction result, and determine the target working error of the evaluated pile based on the correction result; and a second processing subunit, configured to determine the corrected initial working error as the target working error of the evaluated pile in a case where the judgment result indicates that the corrected initial working error does not need to be corrected again.
[0019] Further, the establishing unit comprises: an obtaining subunit, configured to obtain charging data of a plurality of electric vehicles charging at a plurality of reference piles and charging data of a plurality of electric vehicles charging at an evaluated pile, to obtain charging interaction data, wherein the charging data at least comprises: an identity of the reference pile, an identity of the evaluated pile, an identity of the electric vehicle, a measured value of electric energy of each electric vehicle charging at the reference pile and the evaluated pile, a change amount of state of charge of each electric vehicle charging at the reference pile and the evaluated pile; a first establishing subunit, configured to establish a virtual electric energy matrix based on the charging interaction data, wherein an element in the virtual electric energy matrix is used to represent a calculated value of electric energy corresponding to a unit state of charge; a second establishing subunit, configured to establish a standard deviation matrix based on the virtual electric energy matrix and the charging interaction data, wherein an element in the standard deviation matrix comprises a standard deviation determined based on the element in the virtual electric energy matrix; and a second determining subunit, configured to determine the interaction information matrix based on the virtual electric energy matrix and the standard deviation matrix.
[0020] Further, at least one of the electric vehicles has charged at the reference pile and the evaluated pile, and a number of the reference piles is less than a preset number threshold.
[0021] According to another aspect of the embodiments of the present application, an electronic device is also provided, comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute the charging pile performance evaluation method of any one of the above by executing the executable instructions.
[0022] According to another aspect of the embodiments of the present application, a computer readable storage medium is also provided, which stores a computer program, wherein the computer readable storage medium controls a device where the computer readable storage medium is located to execute the charging pile performance evaluation method of any one of the above when the computer program runs.
[0023] In the present application, an interaction information matrix is established, wherein the interaction information matrix comprises: a charging data based on charging of a plurality of electric vehicles on a plurality of reference piles and charging data based on charging of the plurality of electric vehicles on an evaluated pile, a matrix constructed, the reference pile comprising: a charging pile that has been subjected to performance evaluation in a manner of field inspection, the evaluated pile comprising: a charging pile to be subjected to performance evaluation; the interaction information matrix is corrected based on working errors of the plurality of reference piles and an initial working error of the evaluated pile, to obtain a corrected interaction information matrix, wherein the initial working error of the evaluated pile comprises: a working error obtained by last performance evaluation of the evaluated pile; the initial working error of the evaluated pile is corrected based on the corrected interaction information matrix, to obtain a corrected initial working error; and the target working error of the evaluated pile is determined based on the corrected initial working error, wherein the target working error of the evaluated pile is used to represent an evaluation result of the performance evaluation of the evaluated pile. Thus, the technical problem of low evaluation efficiency of performance evaluation of the charging pile by the manner of field inspection in the related art is solved.
[0024] In the present application, the interaction information matrix is constructed based on the charging data of the electric vehicles on the reference pile and the evaluated pile, and the initial working error of the evaluated pile is corrected by using the interaction information matrix and the working error of the reference pile, to obtain the evaluation result of the performance evaluation of the evaluated pile, thereby avoiding the situation of low evaluation efficiency of performance evaluation of all the evaluated piles by the manner of field inspection in the related art, and achieving the technical effect of improving the performance evaluation efficiency of the charging pile. BRIEF DESCRIPTION OF DRAWINGS
[0025] The accompanying drawings, which are included to provide a further understanding of the present application and are incorporated in and constitute a part of this application, illustrate embodiments of the present application and together with the description serve to explain the present application. In the drawings:
[0026] Figure 1 is a flowchart of an optional charging pile performance evaluation method according to an embodiment of the present application;
[0027] Figure 2 is a flowchart of another optional charging pile performance evaluation method according to an embodiment of the present application;
[0028] Figure 3 is a schematic diagram of an optional charging pile performance evaluation flow and formula according to an embodiment of the present application;
[0029] Figure 4 is a schematic diagram of an optional correspondence relationship of a virtual electric energy matrix, a charging pile and an electric vehicle according to an embodiment of the present application;
[0030] Figure 5is a schematic diagram of a correspondence relationship of an optional standard deviation matrix, charging pile and electric vehicle according to an embodiment of the application;
[0031] Figure 6 is a schematic diagram of an optional charging pile performance evaluation device according to an embodiment of the application;
[0032] Figure 7 is a schematic diagram of an electronic device according to an embodiment of the application. DETAILED DESCRIPTION
[0033] In order to enable persons skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by persons skilled in the art without creative labor should fall within the scope of protection of the present application.
[0034] It should be noted that the terms "first", "second", and the like in the specification and claims of the present application and the above-described drawings are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units does not have to be limited to only those steps or units clearly listed, but can include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
[0035] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.), collected information and data (including but not limited to data for analysis, stored data, displayed data, charging data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of related data comply with relevant laws, regulations and standards in relevant regions, necessary security measures are taken, do not violate public order and good customs, and provide corresponding operation portal for user to choose authorization or refusal.
[0036] Embodiment one
[0037] According to the embodiment of the present application, an optional charging pile performance evaluation 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 the logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in a different order.
[0038] Figure 1 An optional charging pile performance evaluation method according to the embodiment of the present application is shown in the flowchart as Figure 1 The method comprises the following steps:
[0039] In step S101, an interaction information matrix is established, wherein the interaction information matrix comprises a matrix constructed based on charging data of a plurality of electric vehicles charging at a plurality of reference piles and charging data of the plurality of electric vehicles charging at an evaluated pile, the reference piles include charging piles that have been evaluated in performance by means of on-site inspection, and the evaluated pile includes a charging pile to be evaluated in performance.
[0040] The above-mentioned interaction information matrix comprises a matrix constructed based on charging data of a plurality of electric vehicles charging at a plurality of reference piles and charging data of the plurality of electric vehicles charging at an evaluated pile, and the interaction information matrix can comprise a unit SOC value corresponding electric energy calculation value matrix (referred to as "virtual electric energy matrix") and a standard deviation matrix, which can be used to record the standard deviation of the unit SOC value corresponding electric energy calculation value. In order to improve the data quality and ensure the accuracy of the performance evaluation result of the evaluated pile, only the interaction information of a single charging that makes the SOC value change greater than or equal to 50% can be included in the vehicle-pile interaction information matrix bundle.
[0041] In the present embodiment, the basis for selecting the reference piles can include but is not limited to: (1) all the evaluated piles are associated with the reference charging piles through at least one electric vehicle charging data information, and at least one electric vehicle charges at the reference pile and the evaluated pile; (2) the number of reference piles is as small as possible, and the number of times of charging of the electric vehicle at the reference charging pile is as large as possible.
[0042] In the present embodiment, the electric energy metering interaction information data of the plurality of electric vehicles charging at the charging piles (reference piles and evaluated piles) can be counted to establish a virtual electric energy matrix and a standard deviation matrix, and a vehicle-pile interaction information matrix bundle (corresponding to the interaction information matrix) is obtained.
[0043] The calculation formula of the elements in the virtual electric energy matrix is:
[0044]
[0045] wherein, i is the number of charging piles (including reference charging piles (i.e. reference piles) and evaluated charging piles); j represents the number of electric vehicles; Et represents the electric energy value measured by the charging pile during the tth charging process of the electric vehicle j at the charging pile i; ΔSOC t is the change amount of the SOC value of the electric vehicle during the charging process.
[0046] The calculation formula of the elements in the standard deviation matrix is:
[0047]
[0048] In step S102, the interaction information matrix is corrected based on the working errors of the reference piles and the initial working error of the evaluated pile to obtain a corrected interaction information matrix, wherein the initial working error of the evaluated pile includes the working error obtained by the last performance evaluation of the evaluated pile.
[0049] In this embodiment, the working error of the charging pile can be the ratio of the difference between the actual charging electric energy value of the charging pile to the electric vehicle and the measured charging electric energy value of the charging pile and the actual charging electric energy value.
[0050] In this embodiment, the number of charging piles and electric vehicles can be counted, respectively Ns and Nc; then the reference piles are determined based on the following two criteria: (1) all evaluated piles are associated with reference piles by at least one electric vehicle; (2) the number of reference piles is as small as possible, and the number of charging times of electric vehicles at the reference piles is as large as possible.
[0051] Further, the charging piles and electric vehicles can be numbered, wherein the number of reference piles is 1~N bs ; then the working error of the reference pile is determined based on the specified on-site calibration method, and the last calibration result (performance evaluation result) can be used as the initial working error of the evaluated pile.
[0052] In this embodiment, the interaction information matrix (i.e. the virtual electric energy matrix and the standard deviation matrix) can be corrected by the working error of the reference pile and the initial working error of the evaluated pile to obtain a corrected interaction information matrix.
[0053] The calculation formula for correcting the elements of the virtual electric energy matrix by the working error of the charging pile is:
[0054]
[0055] wherein, k' ij is the correction value; γ iThis represents the operating error of charging pile i (including the reference pile and the charging pile being evaluated). It should be noted that, at this point, the operating error of the evaluated pile is the initial operating error (i.e., the operating error obtained from the previous performance evaluation of the evaluated pile). The formula for calculating the elements of the standard deviation matrix corrected for the charging pile operating error is as follows:
[0056]
[0057] Where, σ' ij This is the correction value (i.e., an element in the corrected standard deviation matrix).
[0058] Step S103: Based on the modified interaction information matrix, the initial working error of the evaluated pile is corrected to obtain the corrected initial working error.
[0059] In this embodiment, the confidence level of the reference pile's energy metering can be determined based on the vehicle-pile interaction information matrix (i.e., the modified interaction information matrix). Using this as a weighting coefficient, an estimated value of the true energy value corresponding to each electric vehicle's unit SOC value is calculated through a weighted average method, i.e., the virtual energy standard estimate. Combining the virtual energy matrix and the standard deviation matrix, the confidence level of the evaluated pile's energy metering is calculated. Furthermore, the energy metering interaction information between all piles (reference piles and evaluated piles) and electric vehicles (corresponding to the modified interaction information matrix) can be used, with the confidence level of the charging pile's energy metering as a weighting coefficient, to update the virtual energy standard estimate. The updated virtual energy standard estimate is then used to correct the initial operating error of the evaluated pile.
[0060] Step S104: Based on the corrected initial working error, determine the target working error of the pile being evaluated, wherein the target working error of the pile being evaluated is used to represent the evaluation result of this evaluation of the performance of the pile being evaluated.
[0061] In this embodiment, after obtaining the corrected initial working error, it can be determined that the working error value of the evaluated pile tends to be stable. If it is not stable, the corrected initial working error can be corrected again until the working error of the evaluated pile tends to be stable, and the working error of the evaluated pile that tends to be stable is taken as the target working error.
[0062] For example, the initial operating error of the charging pile being evaluated is corrected using the latest virtual energy standard estimate. At the same time, the virtual energy matrix and standard deviation matrix are corrected, and the confidence level of the energy metering of all piles is updated. Finally, an iterative calculation method is used until the operating error value of the evaluated pile tends to stabilize, thus completing the large-scale evaluation of the energy metering performance of the charging pile.
[0063] Through the above steps, in this embodiment, based on the interaction data of the electric vehicles charging at the reference piles and the piles to be evaluated, an interaction information matrix is constructed, and the initial working error of the pile to be evaluated is corrected by using the interaction information matrix and the working error of the reference piles, to obtain an evaluation result for performance evaluation of the pile to be evaluated, thereby avoiding the situation that the performance evaluation of all the piles to be evaluated needs to be performed by using the on-site inspection method in the related art, and the evaluation efficiency is low, so that the technical effect of improving the performance evaluation efficiency of the charging piles is achieved. Further, the technical problem that the performance of the charging piles is evaluated by using the on-site inspection method in the related art, and the evaluation efficiency is low is solved.
[0064] Optionally, the initial working error of the pile to be evaluated is corrected based on the corrected interaction information matrix to obtain a corrected initial working error, including: determining a virtual standard estimated value of electric energy of each electric vehicle based on the corrected interaction information matrix, wherein the virtual standard estimated value of electric energy of each electric vehicle is used to represent an estimated value of electric energy corresponding to a unit state of charge of the electric vehicle; and correcting the initial working error of the pile to be evaluated based on the virtual standard estimated value of electric energy of each electric vehicle and the corrected interaction information matrix to obtain the corrected initial working error.
[0065] The virtual standard estimated value of electric energy corresponding to each electric vehicle is obtained by weighted average calculation of the interaction data of the electric vehicle and all the charging piles. In this embodiment, the confidence of the electric energy metering of the reference piles can also be determined based on the corrected interaction information matrix, and the confidence is used as a weight coefficient to calculate the estimated value of the true value of electric energy corresponding to a unit SOC value of each electric vehicle, that is, the virtual standard estimated value of electric energy, by using the weighted average method; the confidence of the electric energy metering of the pile to be evaluated is calculated in combination with the corrected interaction information matrix (that is, the corrected virtual electric energy matrix and the standard deviation matrix); further, the virtual standard estimated value of electric energy can be updated by using the electric energy metering interaction information of all the piles (the reference piles and the pile to be evaluated) and the electric vehicles (that is, the corrected interaction information matrix), and the confidence of the electric energy metering of the charging piles is used as a weight coefficient, the initial working error of the pile to be evaluated is corrected by using the latest estimated value of the virtual standard estimated value of electric energy, and the corrected initial working error is obtained.
[0066] Optionally, the virtual standard estimated value of electric energy of each electric vehicle is determined based on the corrected interaction information matrix, including: calculating the confidence of the electric energy metering of the multiple reference piles based on the corrected interaction information matrix to obtain the confidence of the electric energy metering of the multiple reference piles; and determining the virtual standard estimated value of electric energy of each electric vehicle based on the confidence of the electric energy metering of the multiple reference piles and the corrected interaction information matrix.
[0067] In an optional example, the calculation formula of the confidence of the electric energy metering of the charging pile can be:
[0068]
[0069] wherein, Ci represents the confidence of the electric energy measurement of the charging pile i; Xj represents the virtual electric energy standard estimated value corresponding to the electric vehicle j.
[0070] The calculation formula of the virtual electric energy standard estimated value corresponding to the electric vehicle j can be:
[0071]
[0072] In another optional example, the confidence of the reference pile electric energy measurement is:
[0073]
[0074] wherein, Ci is the confidence of the electric energy measurement of the charging pile. Then, based on the confidence of the reference pile electric energy measurement, the virtual electric energy standard estimated value corresponding to each electric vehicle is calculated based on the following formula:
[0075]
[0076] wherein, i:1-N bs represents that the value range of i is 1-N bs .
[0077] Optionally, based on the virtual electric energy standard estimated value of each electric vehicle and the corrected interaction information matrix, the initial working error of the evaluated pile is corrected to obtain a corrected initial working error, including: based on the electric energy measurement confidence of the plurality of reference piles and the corrected interaction information matrix, the confidence of the electric energy measurement of the evaluated pile is calculated to obtain the electric energy measurement confidence of the evaluated pile; based on the electric energy measurement confidence of the plurality of reference piles, the electric energy measurement confidence of the evaluated pile and the corrected interaction information matrix, the virtual electric energy standard estimated value of each electric vehicle is updated to obtain the updated virtual electric energy standard estimated value of each electric vehicle; based on the updated virtual electric energy standard estimated value of each electric vehicle, the corrected interaction information matrix, the initial working error of the evaluated pile is corrected to obtain the corrected initial working error.
[0078] For example, the confidence of the reference pile electric energy measurement can be calculated based on the following formula:
[0079]
[0080] wherein, Ci is the confidence of the electric energy measurement of the charging pile. Then, based on the confidence of the reference pile electric energy measurement, the virtual electric energy standard estimated value corresponding to each electric vehicle is calculated as:
[0081]
[0082] Xj is a virtual electric energy standard estimation value corresponding to the jth electric vehicle.
[0083] Further, the formula for evaluating the confidence of the evaluated pile is:
[0084]
[0085] In this embodiment, the evaluation value of the working error of the charging pile can also be made to tend to be stable through iterative calculation. Specifically, the virtual electric energy standard estimation value is first updated based on the following formula:
[0086]
[0087] Then, the initial working error of the evaluated pile can also be corrected using the updated virtual electric energy standard estimation value, wherein the formula for correcting the initial working error of the evaluated pile is:
[0088]
[0089] Optionally, after determining the target working error of the evaluated pile based on the corrected initial working error, the method further includes: updating the corrected interactive information matrix based on the corrected initial working error to obtain an updated interactive information matrix; and updating the electric energy metering confidence of the reference piles and the electric energy metering confidence of the evaluated pile based on the corrected initial working error to obtain updated electric energy metering confidences.
[0090] For example, the interactive information matrix bundle can be corrected based on the calculation formula of the virtual electric energy matrix and the standard deviation matrix. The formula for updating the confidence of all pile electric energy metering is:
[0091]
[0092] By updating the corrected interactive information matrix and updating the electric energy metering confidences of the reference piles and the evaluated pile, the corrected initial working error of the evaluated pile can be further corrected before the working error of the evaluated pile tends to be stable, until the working error of the evaluated pile tends to be stable, and the working error of the evaluated pile in the performance detection is obtained.
[0093] Optionally, based on the corrected initial working error, the target working error of the evaluated pile is determined, including: based on the corrected initial working error and the initial working error, determining whether to correct the corrected initial working error again to obtain a judgment result; in the case that the judgment result indicates that the corrected initial working error is corrected again, the corrected initial working error, the updated interaction information matrix and the updated electric energy metering confidence are used to correct the corrected initial working error again to obtain a correction result, and the target working error of the evaluated pile is determined based on the correction result; in the case that the judgment result indicates that the corrected initial working error does not need to be corrected again, the corrected initial working error is determined as the target working error of the evaluated pile.
[0094] In the embodiment, based on the corrected initial working error and the initial working error, it can be determined whether the corrected initial working error tends to be stable, in the case that it tends to be stable, it can not be corrected again, if it does not tend to be stable, the corrected initial working error can be corrected again to obtain a judgment result, and the formula for determining whether the evaluation value of the working error tends to be stable can be:
[0095]
[0096] wherein, is the working error of the charging pile numbered i after the lth correction, ε is a preset threshold, when the working error after the lth correction tends to be stable can be determined.
[0097] In the case that the judgment result indicates that the corrected initial working error is corrected again, the corrected initial working error, the updated interaction information matrix and the updated electric energy metering confidence are used to correct the corrected initial working error again to obtain a correction result, and the target working error of the evaluated pile is determined based on the correction result, wherein the principle of correcting the corrected initial working error again is the same as the method of correcting the initial working error, and only the corrected initial working error is used as the initial working error, therefore, the correction process of correcting the corrected initial working error again is not described in detail.
[0098] In the case that the judgment result indicates that the corrected initial working error does not need to be corrected again, the corrected initial working error is determined as the target working error of the evaluated pile.
[0099] Optionally, the interaction information matrix is established by: obtaining charging data of the plurality of electric vehicles charging at the plurality of reference piles and charging data of the plurality of electric vehicles charging at the evaluated pile, to obtain charging interaction data, wherein the charging data at least includes: an identifier of the reference pile, an identifier of the evaluated pile, an identifier of the electric vehicle, a measured value of electric energy of each electric vehicle charging at the reference pile and the evaluated pile, and a change amount of state of charge of each electric vehicle charging at the reference pile and the evaluated pile; based on the charging interaction data, a virtual electric energy matrix is established, wherein an element in the virtual electric energy matrix is used to represent a calculated value of electric energy corresponding to a unit state of charge; based on the virtual electric energy matrix and the charging interaction data, a standard deviation matrix is established, wherein an element in the standard deviation matrix includes a standard deviation determined based on the element in the virtual electric energy matrix; and based on the virtual electric energy matrix and the standard deviation matrix, the interaction information matrix is determined.
[0100] The calculation formula of the element in the virtual electric energy matrix is:
[0101]
[0102] wherein i is the number of the charging pile (including the reference charging pile and the evaluated charging pile) (i.e., the identifier of the reference pile and the identifier of the evaluated pile); j represents the number of the electric vehicle (i.e., the identifier of the electric vehicle); Et represents the electric energy value measured by the charging pile during the tth charging process of the electric vehicle j at the charging pile i (i.e., the measured value of the electric energy of the electric vehicle j charging at the charging pile i (reference pile or evaluated pile)); and ΔSOC t is the change amount of the SOC value of the electric vehicle during the charging process (i.e., the change amount of the state of charge of the electric vehicle charging at the reference pile or the evaluated pile).
[0103] The calculation formula of the element in the standard deviation matrix is:
[0104]
[0105] Optionally, at least one electric vehicle has charged at the reference pile and the evaluated pile, and the number of the plurality of reference piles is less than a preset number threshold.
[0106] In the embodiment, the selection rule of the reference pile can be: (1) at least one electric vehicle is used to associate the evaluated pile with the reference pile, for example, at least one electric vehicle has charged at the evaluated pile and the reference pile; and (2) the number of the reference piles is as small as possible, and the number of charging times of the electric vehicle at the reference pile is as large as possible, for example, the number of the plurality of reference piles is less than a preset number threshold.
[0107] In the embodiment, according to the charging behavior of electric vehicles in a certain area, part of the charging piles can be selected as reference piles, the working error of the reference piles is determined by the method of on-site inspection, and the result of the last inspection is taken as the initial working error of the evaluated pile. The electric energy measurement information data of all electric vehicles interacting with the charging piles in the charging process is counted, and a vehicle-pile interaction information matrix bundle is established, including a virtual electric energy matrix and a standard deviation matrix. The working error of the reference pile is used to correct the vehicle-pile interaction information matrix bundle, and the confidence of the electric energy measurement of the reference pile is further determined. The virtual electric energy standard estimated value corresponding to each electric vehicle is calculated by taking the confidence as a weight coefficient. Further, the confidence of the evaluated pile is calculated by combining the vehicle-pile interaction information matrix bundle. The virtual electric energy standard estimated value is updated by using the electric energy measurement interaction information of all piles. The working error of the evaluated charging pile is corrected by using the latest virtual electric energy standard estimated value, and the virtual electric energy matrix and the standard deviation matrix are corrected, and the confidence of the electric energy measurement of all piles is updated. Finally, the iterative calculation method is used until the working error value of the evaluated pile tends to be stable, and the large-scale evaluation of the electric energy measurement performance of the charging pile is completed.
[0108] Based on the concept of big data measurement, the vehicle-mounted SOC data is taken as a medium to establish a pile-pile comparison chain, realize efficient transfer of electric energy physical benchmarks, reduce the manpower, material resources and time cost under the traditional on-site inspection mode, effectively improve the efficiency of the evaluation of the electric energy measurement performance of the charging pile, and further meet the demand of periodic and comprehensive inspection and evaluation of the electric energy measurement performance of the charging pile.
[0109] Embodiment two
[0110] Another optional charging pile performance evaluation method is provided in the embodiment, which can evaluate the working error of the charging pile by using the digital virtual electric energy standard value, and the digital virtual electric energy standard value comes from the reference pile. The working error of the reference pile is determined by the on-site inspection method. Therefore, the essence of the application is to take the vehicle-mounted SOC as a medium to realize efficient transfer of electric energy physical benchmarks.
[0111] In the embodiment, since the resolution of the vehicle-mounted SOC estimated value is 1%, in order to avoid large deviation of the unit electric energy value caused by the quantization error of the SOC, the interaction data of the vehicle-mounted SOC value change amount less than 50% after single charging can be deleted. When the same electric vehicle has multiple charging behaviors on the same charging pile, the multiple charging data can be weighted and averaged when calculating the elements of the corresponding position of the vehicle-pile interaction information matrix. Since the larger the change amount of the SOC value is, the smaller the error of the unit electric energy value caused by the low accuracy of the SOC is, the weight coefficient is:
[0112]
[0113] wherein, W iis the weight value corresponding to the i-th charging data, and t is the charging times.
[0114] In the implementation of the present application, the working error of the charging pile can be distinguished as positive and negative errors, the confidence of the charging pile energy metering is related to the standard deviation of the unit SOC value corresponding energy calculation value and the difference between the unit SOC value corresponding energy calculation value and the virtual energy standard value, the greater the standard deviation of the unit SOC value corresponding energy calculation value or the greater the difference between the unit SOC value corresponding energy calculation value and the virtual energy standard value, the lower the confidence of the charging pile energy metering, therefore, the confidence calculation formula of the charging pile energy metering can be:
[0115]
[0116] wherein, k i ' j and σ i ' j are the correction values of the virtual energy matrix and the standard deviation matrix elements respectively, and X j is the estimated value of the virtual energy standard value.
[0117] In the present embodiment, the virtual energy standard estimate value corresponding to each electric vehicle can be calculated by the weighted average of the interaction data of the electric vehicle and all charging piles, and the weight coefficient can be the confidence of the charging pile energy metering.
[0118] The charging pile performance evaluation method provided by the present embodiment can realize the evaluation of the charging pile energy metering performance through the big data metering method. Compared with the traditional on-site verification method, the consumption of manpower, material resources and financial resources is greatly reduced, and the period of comprehensive verification of the charging pile is shortened.
[0119] Figure 2 is a flowchart of another optional charging pile performance evaluation method according to an embodiment of the present application, Figure 3 is a schematic diagram of an optional charging pile performance evaluation flow and formula according to an embodiment of the present application, as shown in Figure 2 and Figure 3 The charging pile performance evaluation method provided by the present embodiment comprises the following steps:
[0120] In step S201, first, the number of charging piles and electric vehicles is counted, which are Ns and Nc respectively; then the reference pile is determined based on the following two criteria: (1) all the evaluated piles are associated with the reference pile through at least one electric vehicle; (2) the number of reference piles is as small as possible, and the charging times of electric vehicles at the reference pile is as many as possible;
[0121] Further, the charging piles and electric vehicles are numbered, wherein the number of reference piles is 1~N bsThen, based on the prescribed on-site verification method, the working error of the reference pile is determined, and the previous verification result is used as the initial working error of the pile to be evaluated, and the convergence condition ε is set.
[0122] In step S202, firstly, interactive data where the change in vehicle SOC value after a single charge is less than 50% is deleted. Using the vehicle-charging station interactive data, based on formulas (3) and (4), a virtual energy matrix and a standard deviation matrix are established respectively:
[0123]
[0124] Where, k ij In the virtual power matrix, i represents the charging station number, j represents the electric vehicle number, and E represents the electric vehicle number. t During the t-th charging of electric vehicle j at charging station i, the measured electrical energy value of the charging station, ΔSOC t σ represents the change in the SOC value of an electric vehicle during charging. ij represents an element in the standard deviation matrix.
[0125] Furthermore, formulas (5) and (6) are used to correct the original virtual energy matrix and standard deviation matrix, respectively:
[0126]
[0127] Where k i ' j and σ i ' j As a correction value, γ i This represents the operating error of the charging pile numbered i.
[0128] In step S203, firstly, the confidence level of the reference pile's electrical energy metering is calculated based on formula (7):
[0129]
[0130] Where Ci is the confidence level of the charging pile's energy metering. Then, based on the confidence level of the reference charging pile's energy metering, the virtual energy standard estimate for each electric vehicle can be calculated using formula (8):
[0131]
[0132] Where Xj is the estimated virtual energy standard value corresponding to the j-th electric vehicle.
[0133] Furthermore, the confidence level of the evaluated pile can be assessed using formula (9):
[0134]
[0135] In step S204, the evaluation value of the working error of the charging pile can be made to tend to be stable through iterative calculation. Specifically, the virtual energy standard estimation value is first updated based on the following formula:
[0136]
[0137] Then, the working error of the pile being evaluated can be corrected based on formula (11) using the updated virtual energy standard estimation value:
[0138]
[0139] Further, the interaction information matrix bundle is corrected based on formula (3), and the confidence of the energy metering of all charging piles (multiple reference piles and charging piles) is updated based on formula (12):
[0140]
[0141] Finally, step S204 is repeated until the evaluation value of the working error tends to be stable, that is:
[0142]
[0143] To further clarify the calculation process of the method, an example is provided. Figure 4 is a schematic diagram of the correspondence between an optional virtual energy matrix, a charging pile and an electric vehicle according to an embodiment of the application; Figure 5 is a schematic diagram of the correspondence between an optional standard deviation matrix, a charging pile and an electric vehicle according to an embodiment of the application; as Figure 4 and Figure 5 As shown in the figures, this embodiment includes 5 charging piles (of which Nos. 1 and 2 are reference piles with a working error of 1%, and Nos. 3, 4 and 5 are piles being evaluated with working errors of 2%, -1% and 1% respectively) and 10 electric vehicles, and Tables 1 to 10 are the charging information statistics of the electric vehicles. The condition for terminating iteration is Further, the calculation process of k 11 is taken as an example to illustrate the establishment process of the virtual energy matrix:
[0144]
[0145] The other elements in the virtual energy matrix are calculated in turn, and the virtual energy matrix is:
[0146]
[0147] In particular, when an electric vehicle has no charging record at a pile, the corresponding element in the virtual matrix should be recorded as 0. Further, the calculation process of σ 11 is taken as an example to illustrate the establishment process of the standard deviation matrix:
[0148]
[0149] All elements in the standard deviation matrix are calculated in turn, and the standard deviation matrix is:
[0150]
[0151] In particular, when there is no charging record for an electric vehicle at a certain post, the corresponding element in the standard deviation matrix should be recorded as 0.
[0152] Further, it is assumed that the working errors of charging posts No. 1 and No. 2 are γ1=0.01 and γ2=0.01 respectively by on-site verification method, and the initial values of the working errors of the evaluated posts are Then the corrected unit energy matrix and the standard deviation matrix are respectively:
[0153]
[0154] Further, the confidence levels C1 and C2 of the reference post energy measurement are respectively:
[0155]
[0156] Further, the virtual energy standard estimates corresponding to 10 electric vehicles determined by the reference post are respectively:
[0157]
[0158] Further, the confidence levels of the evaluated posts determined by the virtual energy standard estimates are respectively:
[0159]
[0160] Further, enter the iterative operation, let l=1, first, the initial confidence levels of all charging post energy measurements can be used to update the virtual energy standard estimates, and the updated virtual energy standard estimates are respectively:
[0161]
[0162] X2=0.1796, X3=0.1892, X4=0.2302, X5=0.2102, X6=0.1991 (31)
[0163] X7=0.1704, X8=0.2398, X9=0.2485, X 10 =0.2108 (32)
[0164] Further, the working error of the evaluated pile is corrected by using the new virtual electric energy standard estimate value (the working error of the reference pile is not corrected), and the corrected working errors are respectively:
[0165]
[0166]
[0167]
[0168] Further, the confidence of all pile electric energy measurement is updated based on the formula (37) in a manner of using the corrected virtual electric energy matrix and standard deviation matrix:
[0169] C1=0.9871,C2=0.9859,C3=0.9856,C4=0.9872,C5=0.9855 (37)
[0170] Further, it is judged whether the iteration is terminated:
[0171]
[0172] The termination condition is not reached, further, the next iteration calculation is entered, and the formula (27)-(38) is repeatedly calculated by using the updated parameters until the termination condition is met. The verification results of the working error of the evaluated pile are respectively:
[0173] γ3=0.0204,γ4=-0.0087,γ5=0.0094 (39)
[0174] The verification result is very close to the actual working error of the charging pile, which verifies the rationality of the method.
[0175] Table 1
[0176]
[0177] Table 2
[0178]
[0179] Table 3
[0180]
[0181]
[0182] Table 4
[0183]
[0184] Table 5
[0185]
[0186]
[0187] Table 6
[0188]
[0189] Table 7
[0190]
[0191] Table 8
[0192]
[0193] Table 9
[0194]
[0195] Table 10
[0196]
[0197]
[0198] In the embodiment, the charging capacity of the electric vehicle battery pack is reacted by the on-board SOC value, and a pile-pile comparison chain is established by the capacity as a link, and the transmission of the working error of the charging pile is realized, and a theoretical basis for the large-scale evaluation of the electric energy metering performance of the charging pile is provided. The specific steps include: selecting a reference pile, determining the working error of the reference pile by the on-site detection method, taking the last detection result as the initial working error of the evaluated charging pile; establishing a vehicle-pile interaction information matrix, and correcting by the working error; calculating the initial confidence of the electric energy metering of all piles and the estimated value of the virtual electric energy standard; updating the estimated value of the virtual electric energy standard value, correcting the working error of the evaluated charging pile, the interaction information matrix bundle, and updating the confidence; using the iterative calculation method until the evaluation value of the working error tends to be stable, and finally completing the large-scale evaluation of the electric energy metering performance of the charging pile, and realizing the technical effect of reducing the human, material and financial consumption caused by the on-site detection method and improving the performance evaluation efficiency of the charging pile.
[0199] Embodiment three
[0200] The embodiment three of the present application provides a kind of optional charging pile performance evaluation device, each implementation unit in the charging pile performance evaluation device corresponds to each implementation step in embodiment one.
[0201] Figure 6 It is a schematic diagram of the optional charging pile performance evaluation device according to the embodiment of the present application, as Figure 6As shown, the device includes: a establishing unit 61, a first correction unit 62, a second correction unit 63, and a determining unit 64.
[0202] The establishing unit 61 is configured to establish an interaction information matrix, wherein the interaction information matrix is constructed based on charging data of a plurality of electric vehicles charging at a plurality of reference piles and charging data of the plurality of electric vehicles charging at an evaluated pile, the reference piles include charging piles that have been evaluated for performance by means of field testing, and the evaluated pile includes a charging pile to be evaluated for performance.
[0203] The first correction unit 62 is configured to correct the interaction information matrix based on working errors of the plurality of reference piles and an initial working error of the evaluated pile to obtain a corrected interaction information matrix, wherein the initial working error of the evaluated pile includes a working error obtained from a previous performance evaluation of the evaluated pile.
[0204] The second correction unit 63 is configured to correct the initial working error of the evaluated pile based on the corrected interaction information matrix to obtain a corrected initial working error.
[0205] The determining unit 64 is configured to determine a target working error of the evaluated pile based on the corrected initial working error, wherein the target working error of the evaluated pile is used to represent an evaluation result of the performance evaluation of the evaluated pile.
[0206] In the charging pile performance evaluation device of the third embodiment, the establishing unit 61 is configured to establish an interaction information matrix, wherein the interaction information matrix is constructed based on charging data of a plurality of electric vehicles charging at a plurality of reference piles and charging data of the plurality of electric vehicles charging at an evaluated pile, the reference piles include charging piles that have been evaluated for performance by means of field testing, and the evaluated pile includes a charging pile to be evaluated for performance, the first correction unit 62 is configured to correct the interaction information matrix based on working errors of the plurality of reference piles and an initial working error of the evaluated pile to obtain a corrected interaction information matrix, wherein the initial working error of the evaluated pile includes a working error obtained from a previous performance evaluation of the evaluated pile, the second correction unit 63 is configured to correct the initial working error of the evaluated pile based on the corrected interaction information matrix to obtain a corrected initial working error, and the determining unit 64 is configured to determine a target working error of the evaluated pile based on the corrected initial working error, wherein the target working error of the evaluated pile is used to represent an evaluation result of the performance evaluation of the evaluated pile. Thus, the technical problem of low evaluation efficiency in the related art that the performance of the charging pile is evaluated by means of field testing is solved.
[0207] In the embodiment, based on the interaction data of the electric vehicles charging at the reference piles and the evaluated piles, an interaction information matrix is constructed, and the initial working error of the evaluated pile is corrected by using the interaction information matrix and the working error of the reference pile, so that an evaluation result of the performance evaluation of the evaluated pile is obtained, and the situation that the performance evaluation of all the evaluated piles needs to be performed by using the on-site inspection in the related art is avoided, and the evaluation efficiency is improved, thereby achieving the technical effect of improving the performance evaluation efficiency of the charging piles.
[0208] Optionally, the second correction unit comprises: a first determination subunit, configured to determine a virtual standard estimated value of electric energy of each electric vehicle based on the corrected interaction information matrix, wherein the virtual standard estimated value of electric energy of each electric vehicle is used to represent an estimated value of electric energy corresponding to a unit state of charge of the electric vehicle; and a correction subunit, configured to correct the initial working error of the evaluated pile based on the virtual standard estimated value of electric energy of each electric vehicle and the corrected interaction information matrix, to obtain a corrected initial working error.
[0209] Optionally, the first determination subunit comprises: a first calculation module, configured to calculate a confidence degree of electric energy metering of the plurality of reference piles based on the corrected interaction information matrix, to obtain the confidence degrees of electric energy metering of the plurality of reference piles; and a determination module, configured to determine the virtual standard estimated value of electric energy of each electric vehicle based on the confidence degrees of electric energy metering of the plurality of reference piles and the corrected interaction information matrix.
[0210] Optionally, the correction subunit comprises: a second calculation module, configured to calculate a confidence degree of electric energy metering of the evaluated pile based on the confidence degrees of electric energy metering of the plurality of reference piles and the corrected interaction information matrix, to obtain the confidence degree of electric energy metering of the evaluated pile; an update module, configured to update the virtual standard estimated value of electric energy of each electric vehicle based on the confidence degrees of electric energy metering of the plurality of reference piles, the confidence degree of electric energy metering of the evaluated pile and the corrected interaction information matrix, to obtain an updated virtual standard estimated value of electric energy of each electric vehicle; and a correction module, configured to correct the initial working error of the evaluated pile based on the updated virtual standard estimated value of electric energy of each electric vehicle and the corrected interaction information matrix, to obtain a corrected initial working error.
[0211] Optionally, the charging pile performance evaluation device further comprises: a first update unit, configured to update the target working error of the evaluated pile based on the corrected initial working error; a second update unit, configured to update the corrected interaction information matrix based on the corrected initial working error, to obtain an updated interaction information matrix; and a third update unit, configured to update the confidence degrees of electric energy metering of the plurality of reference piles and the confidence degree of electric energy metering of the evaluated pile based on the corrected initial working error, to obtain updated confidence degrees of electric energy metering.
[0212] Optionally, the determining unit comprises: a judging subunit, configured to judge whether the modified initial working error needs to be modified again based on the modified initial working error and the initial working error, and obtain a judgment result; a first processing subunit, configured to, in a case where the judgment result indicates that the modified initial working error needs to be modified again, modify the modified initial working error again based on the modified initial working error, the updated interaction information matrix and the updated electric energy metering confidence, obtain a modified result, and determine the target working error of the evaluated pile based on the modified result; and a second processing subunit, configured to, in a case where the judgment result indicates that the modified initial working error does not need to be modified again, determine the modified initial working error as the target working error of the evaluated pile.
[0213] Optionally, the establishing unit comprises: an obtaining subunit, configured to obtain charging data of a plurality of electric vehicles charging at a plurality of reference piles and charging data of the plurality of electric vehicles charging at the evaluated pile, and obtain charging interaction data, wherein the charging data at least comprises: an identifier of the reference pile, an identifier of the evaluated pile, an identifier of the electric vehicle, a measured value of electric energy of each electric vehicle charging at the reference pile and the evaluated pile, and a change amount of state of charge of each electric vehicle charging at the reference pile and the evaluated pile; a first establishing subunit, configured to establish a virtual electric energy matrix based on the charging interaction data, wherein an element in the virtual electric energy matrix is used to represent a calculated value of electric energy corresponding to a unit state of charge; a second establishing subunit, configured to establish a standard deviation matrix based on the virtual electric energy matrix and the charging interaction data, wherein an element in the standard deviation matrix comprises a standard deviation determined based on the element in the virtual electric energy matrix; and a second determining subunit, configured to determine the interaction information matrix based on the virtual electric energy matrix and the standard deviation matrix.
[0214] Optionally, at least one electric vehicle has charged at both the reference pile and the evaluated pile, and the number of the plurality of reference piles is less than a preset number threshold.
[0215] The charging pile performance evaluation device described above can further comprise a processor and a memory, and the establishing unit 61, the first modifying unit 62, the second modifying unit 63 and the determining unit 64 described above are all stored in the memory as program units, and the processor executes the program units stored in the memory to realize the corresponding functions.
[0216] The processor includes a core, and the core calls corresponding program units in the memory. The core can be set to one or more, and based on the interaction data of the electric vehicle charging at the reference pile and the pile to be evaluated, an interaction information matrix is constructed by adjusting the core parameters. The initial working error of the pile to be evaluated is corrected by using the interaction information matrix and the working error of the reference pile, and an evaluation result of the performance evaluation of the pile to be evaluated is obtained. The performance evaluation of the pile to be evaluated is avoided in the related art by using the field detection method, and the evaluation efficiency is low. Therefore, the technical effect of improving the performance evaluation efficiency of the charging pile is achieved.
[0217] The memory can include a non-permanent memory in a computer readable medium, a random access memory (RAM) and / or a non-volatile memory such as a read-only memory (ROM) or a flash memory (flash RAM), and the memory includes at least one memory chip.
[0218] According to another aspect of the embodiment of the present application, an electronic device is also provided, which includes a processor and a memory for storing executable instructions of the processor, wherein the processor is configured to execute the charging pile performance evaluation method of any one of the above by executing the executable instructions.
[0219] According to another aspect of the embodiment of the present application, a computer readable storage medium is also provided, which stores a computer program, wherein the computer readable storage medium controls the device where the computer readable storage medium is located to execute the charging pile performance evaluation method of any one of the above when the computer program is running.
[0220] Figure 7 is a schematic diagram of an electronic device according to an embodiment of the present application, as Figure 7 shown, the embodiment of the present application provides an electronic device 70, which includes a processor, a memory and a program stored in the memory and executable on the processor. When the processor executes the program, the charging pile performance evaluation method of any one of the above is implemented.
[0221] The above-mentioned serial numbers of the embodiments of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments.
[0222] In the above-mentioned embodiments of the present application, the description of each embodiment has its own emphasis, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.
[0223] In several embodiments provided in the present application, it should be understood that the disclosed technology can be implemented by other means. Among them, the above-mentioned device embodiments are only schematic, for example, the division of the units can be a logical function division, and actual implementation can have another division mode, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed each other can be through some interface, indirect coupling or communication connection between units or modules, which can be electrical or other forms.
[0224] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or they can be distributed to multiple units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.
[0225] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically, or two or more units can be integrated into one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.
[0226] The integrated unit, if realized in the form of a software functional unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: a U disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.
[0227] The above is only the preferred embodiment of the present application, and it should be pointed out that for ordinary skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, and these improvements and refinements should be considered as the protection scope of the present application.
Claims
1. A method for evaluating performance of a charging pile, characterized in that, The method comprises the following steps: establishing an interaction information matrix, wherein the interaction information matrix comprises: charging data of a plurality of electric vehicles charging at a plurality of reference piles and charging data of a plurality of electric vehicles charging at an evaluated pile, and a matrix constructed by the charging data; the reference piles comprise charging piles that have been evaluated in performance by means of on-site inspection; and the evaluated pile comprises a charging pile to be evaluated in performance; correcting the interaction information matrix based on working errors of the plurality of reference piles and an initial working error of the evaluated pile, to obtain a corrected interaction information matrix, wherein the initial working error of the evaluated pile comprises a working error obtained by a previous performance evaluation of the evaluated pile; correcting the initial working error of the evaluated pile based on the corrected interaction information matrix, to obtain a corrected initial working error; determining a target working error of the evaluated pile based on the corrected initial working error, wherein the target working error of the evaluated pile is used to represent an evaluation result of the performance evaluation of the evaluated pile this time; wherein the step of correcting the initial working error of the evaluated pile based on the corrected interaction information matrix to obtain a corrected initial working error comprises: determining a virtual standard energy estimation value of each electric vehicle based on the corrected interaction information matrix, wherein the virtual standard energy estimation value of each electric vehicle is used to represent an estimation value of the electric energy corresponding to a unit state of charge of the electric vehicle; and correcting the initial working error of the evaluated pile based on the virtual standard energy estimation value of each electric vehicle and the corrected interaction information matrix to obtain the corrected initial working error; determining a virtual standard energy estimation value of each electric vehicle based on the corrected interaction information matrix comprises: calculating a confidence degree of energy metering of a plurality of reference piles based on the corrected interaction information matrix to obtain energy metering confidence degrees of the plurality of reference piles; and determining a virtual standard energy estimation value of each electric vehicle based on the energy metering confidence degrees of the plurality of reference piles and the corrected interaction information matrix; correcting the initial working error of the evaluated pile based on the virtual standard energy estimation value of each electric vehicle and the corrected interaction information matrix to obtain the corrected initial working error comprises: calculating a confidence degree of energy metering of the evaluated pile based on the energy metering confidence degrees of the plurality of reference piles and the corrected interaction information matrix to obtain an energy metering confidence degree of the evaluated pile; updating the virtual standard energy estimation value of each electric vehicle based on the energy metering confidence degrees of the plurality of reference piles, the energy metering confidence degree of the evaluated pile, and the corrected interaction information matrix to obtain an updated virtual standard energy estimation value of each electric vehicle; and correcting the initial working error of the evaluated pile based on the updated virtual standard energy estimation value of each electric vehicle, the corrected interaction information matrix, to obtain the corrected initial working error.
2. The performance evaluation method of claim 1, wherein, determining a target working error of the evaluated pile based on the corrected initial working error, further comprises: updating the corrected interaction information matrix based on the corrected initial working error to obtain an updated interaction information matrix; updating the electric energy metering confidence of the plurality of reference piles and the electric energy metering confidence of the evaluated pile based on the corrected initial working error to obtain updated electric energy metering confidence.
3. The performance evaluation method of claim 2, wherein, determining a target working error of the evaluated pile based on the corrected initial working error, further comprises: judging whether to correct the corrected initial working error again based on the corrected initial working error and the initial working error to obtain a judgment result; in a case where the judgment result indicates that the corrected initial working error is to be corrected again, correcting the corrected initial working error again based on the corrected initial working error, the updated interaction information matrix and the updated electric energy metering confidence to obtain a correction result, and determining the target working error of the evaluated pile based on the correction result; in a case where the judgment result indicates that the corrected initial working error does not need to be corrected again, determining the corrected initial working error as the target working error of the evaluated pile.
4. The performance evaluation method of claim 1, wherein, establishing an interaction information matrix, comprising: obtaining charging data of a plurality of the electric vehicles charging at a plurality of the reference piles and charging data of a plurality of the electric vehicles charging at the evaluated pile to obtain charging interaction data, wherein the charging data at least includes: an identifier of the reference pile, an identifier of the evaluated pile, an identifier of the electric vehicle, a measured value of electric energy of each electric vehicle charging at the reference pile and the evaluated pile, and a change amount of state of charge of each electric vehicle charging at the reference pile and the evaluated pile; based on the charging interaction data, a virtual electric energy matrix is established, wherein an element in the virtual electric energy matrix is used to represent a calculated value of electric energy corresponding to a unit state of charge; based on the virtual electric energy matrix and the charging interaction data, a standard deviation matrix is established, wherein an element in the standard deviation matrix includes a standard deviation determined based on an element in the virtual electric energy matrix; based on the virtual electric energy matrix and the standard deviation matrix, the interaction information matrix is determined.
5. The performance evaluation method of claim 1, wherein, At least one of the electric vehicles has charged at both the reference pile and the evaluated pile, and the number of the plurality of reference piles is less than a preset number threshold.
6. A charging pile performance evaluation device, characterized in that, comprising: an establishing unit configured to establish an interaction information matrix, wherein the interaction information matrix comprises a matrix constructed based on charging data of a plurality of electric vehicles charging at a plurality of reference piles and charging data of a plurality of the electric vehicles charging at an evaluated pile, the reference piles include charging piles that have been evaluated in performance by means of on-site inspection, and the evaluated pile includes a charging pile to be evaluated in performance; The first correction unit is configured to correct the interaction information matrix based on the working errors of the reference piles and the initial working error of the evaluated pile to obtain a corrected interaction information matrix, wherein the initial working error of the evaluated pile comprises a working error obtained by performing performance evaluation on the evaluated pile last time. The second correction unit is configured to correct the initial working error of the evaluated pile based on the corrected interaction information matrix to obtain a corrected initial working error. The determination unit is configured to determine a target working error of the evaluated pile based on the corrected initial working error, wherein the target working error of the evaluated pile is used to represent an evaluation result of the performance evaluation on the evaluated pile. The method further comprises: determining a virtual standard energy estimation value of each electric vehicle based on the corrected interaction information matrix, wherein the virtual standard energy estimation value of each electric vehicle is used to represent an estimation value of electric energy corresponding to a unit state of charge of the electric vehicle; and correcting the initial working error of the evaluated pile based on the virtual standard energy estimation value of each electric vehicle and the corrected interaction information matrix to obtain the corrected initial working error. The method further comprises: calculating a confidence degree of electric energy metering of the reference piles based on the corrected interaction information matrix to obtain confidence degrees of electric energy metering of the reference piles; and determining the virtual standard energy estimation value of each electric vehicle based on the confidence degrees of electric energy metering of the reference piles and the corrected interaction information matrix. The method further comprises: calculating a confidence degree of electric energy metering of the evaluated pile based on the confidence degrees of electric energy metering of the reference piles and the corrected interaction information matrix to obtain a confidence degree of electric energy metering of the evaluated pile; updating the virtual standard energy estimation value of each electric vehicle based on the confidence degrees of electric energy metering of the reference piles, the confidence degree of electric energy metering of the evaluated pile and the corrected interaction information matrix to obtain an updated virtual standard energy estimation value of each electric vehicle; and correcting the initial working error of the evaluated pile based on the updated virtual standard energy estimation value of each electric vehicle and the corrected interaction information matrix to obtain the corrected initial working error.
7. An electronic device, comprising: The one or more processors and the memory are configured to implement the method of any one of claims 1 to 5 when the one or more programs are executed by the one or more processors.
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