Electric vehicle charging identification method, system and device, and storage medium

Abstract

The embodiment of the application discloses a kind of electric vehicle charging recognition method, system, device and storage medium, belong to electric vehicle charging identification technical field, its method includes obtaining to be identified sampling data;Extract a plurality of types of to be identified electrical parameters in the to-be-identified sampling data;Each to-be-identified electrical parameter is compared with the corresponding type of electrical threshold, and the comparison result is obtained;When the comparison result meets the input determination condition, the electric vehicle charging is identified.The identification process relies on to-be-identified sampling data, without human intervention, and to-be-identified sampling data can be directly obtained, reduces the labor cost, improves the identification efficiency and accuracy.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electric vehicle charging identification, and in particular to an electric vehicle charging identification method, system, device and storage medium. BACKGROUND

[0002] In recent years, safety accidents occur frequently in electric vehicle charging. Since electric vehicles are widely used, manual investigation of electric vehicle illegal charging is time-consuming and labor-intensive, and the effect is not obvious. How to efficiently identify electric vehicle charging has become a problem to be solved at present. SUMMARY

[0003] Therefore, the present application provides an electric vehicle charging identification method, system, device and storage medium to solve the problem that it is difficult to efficiently identify electric vehicle charging in the prior art. In order to achieve one or part or all of the above purposes or other purposes, the present application provides an electric vehicle charging identification method, system, device and storage medium. The first aspect is:

[0004] An electric vehicle charging identification method, comprising:

[0005] Obtaining to-be-identified sampling data;

[0006] Extracting a plurality of types of to-be-identified electrical parameters in the to-be-identified sampling data;

[0007] Comparing each to-be-identified electrical parameter with a corresponding type of electrical threshold to obtain a comparison result;

[0008] When the comparison result meets the input determination condition, identifying that the electric vehicle is charging.

[0009] Preferably, before the comparison of each to-be-identified electrical parameter with a corresponding type of electrical threshold to obtain a comparison result, the method further comprises:

[0010] Obtaining simulation recording data; the simulation recording data contains a plurality of groups of to-be-input electrical data and input electrical data; each group corresponds to different number of times of electric vehicle network access, and each group includes a plurality of types of to-be-input electrical data and input electrical data; each type of to-be-input electrical data and input electrical data includes different number of electric vehicle network access;

[0011] Performing relationship operation on the to-be-input electrical data and the input electrical data of the same group, the same type and the same number of electric vehicle network access to obtain an operation result;

[0012] Linearly fitting the operation results of the same type in each group to obtain the electrical threshold of the corresponding type.

[0013] Preferably, the step of performing relational operation on the to-be-input electrical data and the already-input electrical data of the same group, the same type and the same number of the electric vehicles comprises:

[0014] performing difference operation on the to-be-input electrical data and the already-input electrical data of the same type, the same number of the electric vehicles and the same number of times of entering the network, to obtain corresponding operation sub-results;

[0015] integrating the operation sub-results of the same type in the same group to obtain the operation result of the corresponding type in the corresponding group.

[0016] Preferably, the step of performing linear fitting on the operation results of the same type in each group to obtain the electrical threshold of the corresponding type comprises:

[0017] performing the linear fitting on the operation results of the same type in all groups to obtain a fitting result;

[0018] determining the slope of a linear function according to the fitting result, updating the intercept of the linear function to obtain two threshold straight lines;

[0019] when the fitting result in the two threshold straight lines meets a threshold condition, determining the range covered by the two threshold straight lines as the electrical threshold of the corresponding type.

[0020] Preferably, the types of the to-be-input electrical data and the already-input electrical data include at least three of active power, reactive power, power factor and effective value of harmonic current.

[0021] Preferably, the step of comparing each to-be-identified electrical parameter with the electrical threshold of the corresponding type to obtain a comparison result comprises:

[0022] judging whether the to-be-identified electrical parameter is located within the electrical threshold of the corresponding type;

[0023] if located within the electrical threshold of the corresponding type, obtaining a comparison sub-result of the corresponding type as having entered the network;

[0024] if not located within the electrical threshold of the corresponding type, obtaining a comparison sub-result of the corresponding type as not having entered the network;

[0025] integrating the comparison sub-results of all types to obtain the comparison result.

[0026] Preferably, before the electric vehicle is identified to be input for charging when the comparison result meets an input determination condition, the method further comprises:

[0027] determining whether the number of the networked devices contained in the comparison result exceeds three;

[0028] if yes, determining that the comparison result meets the input determination condition;

[0029] if no, determining that the comparison result does not meet the input determination condition.

[0030] The second aspect is:

[0031] An electric vehicle input charging identification system comprises an acquisition module for acquiring to-be-identified sampling data;

[0032] An extraction module is configured to extract a plurality of types of to-be-identified electrical parameters in the to-be-identified sampling data.

[0033] A comparison module is configured to compare each to-be-identified electrical parameter with a corresponding type of electrical threshold to obtain a comparison result.

[0034] An identification module is configured to identify electric vehicle input charging when the comparison result meets an input determination condition.

[0035] Preferably, the system further comprises a recording module configured to acquire simulation recording data before the comparison of each to-be-identified electrical parameter with a corresponding type of electrical threshold to obtain a comparison result. The simulation recording data contains a plurality of groups of to-be-input electrical data and input electrical data. Each group corresponds to a different number of times of electric vehicle network entry, and each group includes a plurality of types of to-be-input electrical data and input electrical data. Each type of to-be-input electrical data and input electrical data contains a different number of times of electric vehicle network entry.

[0036] An operation module is configured to perform a relationship operation on the to-be-input electrical data and the input electrical data of the same group, the same type, and the same number of times of electric vehicle network entry to obtain an operation result.

[0037] A fitting module is configured to perform linear fitting on the operation results of the same type in each group to obtain the electrical threshold of the corresponding type.

[0038] Preferably, the operation module comprises an operation unit configured to perform a difference operation on the to-be-input electrical data and the input electrical data of the same number of times of electric vehicle network entry, the same type, and the same number of times of electric vehicle network entry to obtain a corresponding operation sub-result.

[0039] An integration unit is configured to integrate the operation sub-results of the same type in the same group to obtain the operation result of the corresponding type in the corresponding group.

[0040] Preferably, the fitting module comprises a fitting unit configured to perform the linear fitting on the operation results of the same type in all groups to obtain fitting results.

[0041] a function unit configured to determine a slope of a linear function according to the fitting results, update an intercept of the linear function, and obtain two threshold straight lines;

[0042] a threshold unit configured to determine a range covered by the two threshold straight lines as the electrical threshold of the corresponding type when the fitting results in the two threshold straight lines meet a threshold condition.

[0043] Preferably, the types of the to-be-input electrical data and the input electrical data include at least three of active power, reactive power, power factor, and harmonic current effective value.

[0044] Preferably, the comparison module comprises a judgment unit configured to judge whether the to-be-identified electrical parameter is located within the electrical threshold of the corresponding type;

[0045] If located within the electrical threshold of the corresponding type, a comparison sub-result of the corresponding type is obtained as having been connected to the network.

[0046] If not located within the electrical threshold of the corresponding type, a comparison sub-result of the corresponding type is obtained as not having been connected to the network.

[0047] a comparison unit configured to integrate the comparison sub-results of all types to obtain the comparison result.

[0048] Preferably, the system further comprises a judgment module configured to judge whether the number of the having been connected to the network contained in the comparison result exceeds three before the electric vehicle is input to be charged when the comparison result meets an input judgment condition.

[0049] If yes, it is determined that the comparison result meets the input judgment condition.

[0050] If no, it is determined that the comparison result does not meet the input judgment condition.

[0051] Third aspect:

[0052] An electric vehicle input charging identification device, comprising a memory and a processor, the memory stores an electric vehicle input charging identification method, and the processor is configured to execute the electric vehicle input charging identification method.

[0053] Fourth aspect:

[0054] A storage medium storing a computer program capable of being loaded and executed by a processor to perform the above-mentioned method.

[0055] Implementing the embodiments of the present application will have the following beneficial effects:

[0056] When it is needed to determine whether the electric vehicle is put into charging, a plurality of types of to-be-identified electrical parameters are extracted from the to-be-identified sampling data. Then, the to-be-identified electrical parameters are compared with corresponding electrical thresholds according to the types of the to-be-identified electrical parameters, and comparison results corresponding to all types are obtained. When the comparison results meet the input determination condition, the electric vehicle is identified to be put into charging. The whole process is automatically completed without human intervention, and the to-be-identified sampling data is electrical data which can be directly obtained, thereby reducing the labor cost and improving the identification efficiency and accuracy. BRIEF DESCRIPTION OF DRAWINGS

[0057] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort on the basis of these drawings.

[0058] Among them:

[0059] Figure 1 It is a whole flow chart of the electric vehicle charging recognition method in an embodiment.

[0060] Figure 2 It is a harmonic current effective value scatter plot when the electric vehicle is charged for one time in an embodiment.

[0061] Figure 3 It is a harmonic current effective value scatter plot when the electric vehicle is charged for three times in an embodiment.

[0062] Figure 4 It is a harmonic current effective value scatter plot when the electric vehicle is charged for five times in an embodiment.

[0063] Figure 5 It is a schematic diagram of determining a threshold straight line in the electric vehicle charging recognition method in an embodiment.

[0064] Figure 6 It is a structure block diagram of the electric vehicle charging recognition system in an embodiment.

[0065] Figure 7 It is a structure schematic diagram of the electric vehicle charging recognition device in an embodiment. DETAILED DESCRIPTION

[0066] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described, obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments of the present application, all the other embodiments obtained by those skilled in the art without creative work belong to the protection scope of the present application.

[0067] In the following description, "some embodiments" are related to a subset of all possible embodiments, but it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict.

[0068] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application, and are not intended to limit the present application.

[0069] The embodiments of the present application provide a safe power perception method. In the prior art, in order to perceive the safe power problem, it is usually necessary to detect the household, which is inefficient and difficult to monitor in real time.

[0070] In order to overcome the above problems, the embodiments of the present application provide an electric vehicle charging identification method, which comprises the steps of Figure 1 As described above, the method comprises the steps of

[0071] 101, obtaining to-be-identified sampling data.

[0072] In an embodiment, when it is necessary to identify whether the target object charges the electric vehicle, the input electric signal and / or the output electric signal of the target object are obtained. The input electric signal and / or the output electric signal are to-be-identified sampling data. It should be noted that the to-be-identified sampling data are data obtained continuously in a period of time. That is, in an embodiment, the to-be-identified sampling data refer to data that can judge whether the electric vehicle is connected to the power grid to charge, which can be electric signal data or feature data that can identify the charging grid connection characteristics of the electric vehicle, and the embodiments are not limited in this regard.

[0073] 102, extracting a plurality of types of to-be-identified electrical parameters in the to-be-identified sampling data.

[0074] The to-be-identified electrical parameters include a plurality of types, wherein the type refers to the category of the to-be-identified electrical parameters, such as power, current, voltage, etc.

[0075] 103, comparing each to-be-identified electrical parameter with an electrical threshold of a corresponding type to obtain a comparison result.

[0076] The various types of to-be-identified electrical parameters are compared with the corresponding types of electrical thresholds to obtain a total comparison result. In an embodiment, the comparison result includes a comparison sub-result corresponding to each type, i.e., the comparison result is composed of multiple comparison sub-results.

[0077] 104. When the comparison result meets the input determination condition, it is identified that the electric vehicle is input for charging.

[0078] The comparison result is matched with the input determination condition. When the matching is successful, it is proved that the electric vehicle is input for charging, so that the electric vehicle is input for charging.

[0079] When it is necessary to determine whether the electric vehicle is input for charging, multiple types of to-be-identified electrical parameters are extracted from the to-be-identified sampling data. Then, the to-be-identified electrical parameters are compared with the corresponding electrical thresholds according to the types of the to-be-identified electrical parameters to obtain comparison results corresponding to all types. When the comparison result meets the input determination condition, it is identified that the electric vehicle is input for charging. The whole process is automatically completed without human intervention, and the to-be-identified sampling data is electrical data which can be directly obtained, thereby reducing the labor cost and improving the identification efficiency and accuracy.

[0080] In another embodiment of the present application, before the comparison of each to-be-identified electrical parameter with the corresponding type of electrical threshold to obtain the comparison result, the method further includes:

[0081] 201. Obtain simulation recording data.

[0082] In an embodiment, the simulation recording data includes multiple groups of to-be-input electrical data and input electrical data. Each group corresponds to different numbers of electric vehicle network inputs, and each group includes multiple types of to-be-input electrical data and input electrical data. Each type of to-be-input electrical data and input electrical data includes different numbers of electric vehicle network inputs.

[0083] Specifically, the simulation recording data is obtained by using a preset simulation circuit. The simulation circuit includes an electric vehicle charger simulation circuit.

[0084] In an application scenario, different numbers of electric vehicles are set to enter the network. For example, 0, 10, 20, 30, 40, 50, 60 and 70 electric vehicles are set to enter the network respectively. When performing simulation experiments, one-time charging of 0, 10, 20, 30, 40, 50, 60 and 70 electric vehicles is performed respectively to obtain corresponding simulation recording data. In the simulation recording data, there are to-be-put electric data and put electric data of 0 electric vehicles, to-be-put electric data and put electric data of 10 electric vehicles, and to-be-put electric data and put electric data of more electric vehicles. The to-be-put electric data and the put electric data both include a plurality of types of electric parameters, for example, the to-be-put electric data and the put electric data both include power type, current type and voltage type electric parameters, which are not limited in this embodiment.

[0085] In an application scenario, when performing simulation experiments, a multiple-entry mode is used to obtain a plurality of groups of simulation experimental data. The simulation recording data is obtained by integrating the plurality of groups of simulation experimental data. Specifically, the simulation recording data includes to-be-put electric data and put electric data corresponding to one-time charging of electric vehicles, to-be-put electric data and put electric data corresponding to three-time charging of electric vehicles, and to-be-put electric data and put electric data corresponding to five-time charging of electric vehicles.

[0086] For ease of understanding, as Figure 2 described, when the type is determined to be a harmonic current effective value, a harmonic current effective value scatter plot when the electric vehicle is charged once is obtained. As Figure 3 described, a harmonic current effective value scatter plot when the electric vehicle is charged three times. As Figure 4 described, a harmonic current effective value scatter plot when the electric vehicle is charged five times. In Figures 2 to 4 , there are data corresponding to 0, 10, 20, 30, 40, 50, 60 and 70 electric vehicles.

[0087] 202, relationship operation is performed on the to-be-put electric data and the put electric data of the same group, the same type and the same number of electric vehicles entering the network to obtain an operation result.

[0088] The to-be-put electric data refers to the electric data when the electric vehicle is not in the network for charging, and the put electric data refers to the electric data after the electric vehicle is in the network for charging. Relationship operation is performed on the two to obtain an operation result.

[0089] 203, linear fitting is performed on the operation results of the same type in each group to obtain the electric threshold value of the corresponding type.

[0090] In an embodiment, since the number of times of network entry corresponding to each group is different, the operation results of network entry once and three times are fitted, the operation results of network entry three times and five times are fitted, and the operation results of network entry five times and seven times are fitted, and finally the electrical threshold value corresponding to the type is determined.

[0091] The electrical threshold value of each type is calculated by simulation, which helps to improve the scientificity and rationality of the electrical threshold value, thereby improving the recognition accuracy.

[0092] In another embodiment of the present application, the step of performing relationship operation on the to-be-input electrical data and the already-input electrical data of the same group, the same type and the same number of network entry of the electric vehicle to obtain operation results comprises:

[0093] 301, difference is performed on the to-be-input electrical data and the already-input electrical data of the electric vehicle with the same number of network entry, the same type and the same number of network entry to obtain corresponding operation sub-results.

[0094] Specifically, Figures 2 to 4 The scatter points in the difference result are obtained.

[0095] 302, the operation sub-results corresponding to the same type in the same group are integrated to obtain the operation results of the corresponding type in the corresponding group.

[0096] The operation results of the corresponding type in the corresponding group are obtained by difference, and the calculation process is simple, which helps to save calculation resources, improve calculation efficiency and reduce error probability.

[0097] In another embodiment of the present application, the step of performing linear fitting on the operation results of the same type in each group to obtain the electrical threshold value of the corresponding type comprises:

[0098] 401, the linear fitting is performed on the operation results of the same type in all groups to obtain a fitting result.

[0099] In an embodiment, the fitting result refers to Figures 2 to 4 scatter points.

[0100] Specifically, in an embodiment, four groups including charging once, charging three times, charging five times and charging seven times are included. The operation results of the type of harmonic current effective value in the four groups are linearly fitted to obtain a fitting result. The operation results of the type of active power in the four groups are linearly fitted to obtain corresponding fitting results. The specific type is not limited in this embodiment.

[0101] 402, the slope of the linear function is determined according to the fitting result, and the intercept of the linear function is updated to obtain two threshold straight lines.

[0102] As Figure 5 described above, the slope k of the linear function y=kx+b is determined according to the fitting results, and the intercept b is updated to obtain two threshold straight lines, y1=kx+b1 and y2=kx+b2.

[0103] 403、When the fitting results in the two threshold straight lines meet the threshold condition, the range covered by the two threshold straight lines is determined as the electrical threshold of the corresponding type.

[0104] In an embodiment, the threshold condition is that the number of fitting results between the two threshold straight lines accounts for 90% of the total number of fitting results.

[0105] The electrical threshold is determined by using a linear function, which is convenient and fast, helps to reduce the occupation of computing resources, improve the computing efficiency, and thus improve the identification efficiency.

[0106] In another embodiment of the present application, the types of the to-be-input electrical data and the input electrical data include at least three of active power, reactive power, power factor, and harmonic current effective value.

[0107] In another embodiment of the present application, the step of comparing each of the to-be-identified electrical parameters with the electrical threshold of the corresponding type to obtain a comparison result includes:

[0108] 601、whether the to-be-identified electrical parameter is located within the electrical threshold of the corresponding type;

[0109] If it is located within the electrical threshold of the corresponding type, the comparison sub-result of the corresponding type is obtained as having been input into the network.

[0110] If it is not located within the electrical threshold of the corresponding type, the comparison sub-result of the corresponding type is obtained as not having been input into the network.

[0111] 602、integrating all types of comparison sub-results to obtain the comparison result

[0112] Each type corresponds to a comparison sub-result, and the comparison sub-result includes having been input into the network and not having been input into the network. After integrating all comparison sub-results, the comparison result is obtained.

[0113] In another embodiment of the present application, before the electric vehicle is identified to be input into charging according to the comparison result meeting the input determination condition, the method further includes:

[0114] 701、judging whether the number of having been input into the network contained in the comparison result exceeds three;

[0115] If yes, it is determined that the comparison result meets the input determination condition.

[0116] If not, it is determined that the comparison result does not meet the input determination condition.

[0117] In an embodiment, the number of the networked exceeds three, and it is determined that the comparison result meets the input determination condition. That is, the comparison sub-results corresponding to the three types are all networked, and fall within the corresponding electrical threshold. At this time, it is determined that the electric vehicle is networked for charging, so as to reduce the error rate and improve the accuracy of the identification result.

[0118] When it is needed to determine whether the electric vehicle is input for charging, a plurality of types of to-be-identified electrical parameters are extracted from the to-be-identified sampling data. Then, the to-be-identified electrical parameters are compared with the corresponding electrical threshold according to the type of the to-be-identified electrical parameters, to obtain the comparison result corresponding to all types. When the comparison result meets the input determination condition, the electric vehicle is identified as input for charging. The whole process is automatically completed without human intervention, and the to-be-identified sampling data is electrical data which can be directly obtained, thereby reducing the labor cost and improving the identification efficiency and accuracy.

[0119] The embodiment of the present application also provides an electric vehicle input for charging identification system, which comprises Figure 6 The acquisition module 1 is used to acquire to-be-identified sampling data.

[0120] The extraction module 2 is used to extract a plurality of types of to-be-identified electrical parameters in the to-be-identified sampling data.

[0121] The comparison module 3 is used to compare each to-be-identified electrical parameter with the corresponding type of electrical threshold, to obtain a comparison result.

[0122] The identification module 4 is used to identify the electric vehicle as input for charging when the comparison result meets the input determination condition.

[0123] Preferably, the system further comprises a recording module, which is used to acquire simulation recording data before the comparison of each to-be-identified electrical parameter with the corresponding type of electrical threshold to obtain the comparison result. The simulation recording data contains a plurality of groups of to-be-input electrical data and input electrical data. Each group corresponds to different networked times of the electric vehicle, and each group includes a plurality of types of to-be-input electrical data and input electrical data. Each type of to-be-input electrical data and input electrical data contains different networked quantities of the electric vehicle.

[0124] The operation module is used to perform a relationship operation on the to-be-input electrical data and the input electrical data of the same type and the same group and having the same networked quantity of the electric vehicle, to obtain an operation result.

[0125] The fitting module is used to perform linear fitting on the operation results of the same type in each group, to obtain the electrical threshold of the corresponding type.

[0126] Preferably, the operation module comprises an operation unit configured to subtract the to-be-input electrical data and the already-input electrical data of the same type and the same number of times of network entry of the electric vehicle to obtain corresponding operation sub-results.

[0127] The integration unit is configured to integrate the operation sub-results of the same type in the same group to obtain the operation result of the corresponding type in the corresponding group.

[0128] Preferably, the fitting module comprises a fitting unit configured to perform the linear fitting on the operation results of the same type in all groups to obtain a fitting result.

[0129] The function unit is configured to determine the slope of the linear function according to the fitting result, update the intercept of the linear function, and obtain two threshold straight lines.

[0130] The threshold unit is configured to determine the range covered by the two threshold straight lines as the electrical threshold of the corresponding type when the fitting result in the two threshold straight lines meets a threshold condition.

[0131] Preferably, the types of the to-be-input electrical data and the already-input electrical data include at least three of active power, reactive power, power factor, and harmonic current effective value.

[0132] Preferably, the comparison module 3 comprises a judgment unit configured to judge whether the to-be-identified electrical parameter is located within the electrical threshold of the corresponding type.

[0133] If the to-be-identified electrical parameter is located within the electrical threshold of the corresponding type, the comparison sub-result of the corresponding type is already entered.

[0134] If the to-be-identified electrical parameter is not located within the electrical threshold of the corresponding type, the comparison sub-result of the corresponding type is not entered.

[0135] The comparison unit is configured to integrate the comparison sub-results of all types to obtain the comparison result.

[0136] Preferably, the system further comprises a judgment module configured to, when the comparison result meets an input judgment condition, judge whether the number of already entered network entries included in the comparison result exceeds three before the electric vehicle is input for charging.

[0137] If yes, it is determined that the comparison result meets the input judgment condition.

[0138] If no, it is determined that the comparison result does not meet the input judgment condition.

[0139] It should be noted that the above description of the application applied to the electric vehicle charging recognition system embodiment is similar to the above method description, and has the same beneficial effects as the method embodiment. For technical details not disclosed in the electric vehicle charging recognition system embodiment of the application, those skilled in the art can refer to the description of the method embodiment of the application for understanding.

[0140] It should be noted that in the embodiments of the present application, if the above method is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application can be embodied in the form of a software product, and 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 methods described in the embodiments of the present application. The foregoing storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read Only Memory), magnetic disk or optical disk, and various program codes that can be stored in the medium. Therefore, the embodiments of the present application are not limited to any specific hardware and software combination.

[0141] Correspondingly, the embodiments of the present application also disclose a storage medium, which stores a computer program capable of being loaded by a processor and executing the above method.

[0142] The embodiments of the present application also disclose an electric vehicle charging recognition device, such as Figure 7 As described above, the device includes a processor 100, at least one communication bus 200, a user interface 300, at least one external communication interface 400, and a memory 500. The communication bus 200 is configured to realize the connection and communication between the components. The user interface 300 can include a display screen, and the external communication interface 400 can include a standard wired interface and a wireless interface. The memory 500 stores an electric vehicle charging recognition method. The processor 100 is configured to execute the electric vehicle charging recognition method stored in the memory 500 using the above method.

[0143] The above description of the application applied to the electric vehicle charging recognition device and the storage medium embodiment is similar to the above method embodiment description, and has the same beneficial effects as the method embodiment. For technical details not disclosed in the electric vehicle charging recognition device and the storage medium embodiment of the present application, please refer to the description of the method embodiment of the present application for understanding.

[0144] It should be understood that every feature, structure, or characteristic described above that is recited in means-plus-function or other functional claim is implemented by a method described herein and is not a signal per se. It should be further understood that the functions recited in the claims can be implemented by one or more processors or processing units that execute one or more computer program instructions, code, or logic.

[0145] It should be noted that, as used herein, the terms "includes," "including," "has," "having" or the like are intended to be open-ended: namely, the foregoing terms are intended to mean that the processes, methods, articles, or apparatuses disclosed include, but are not limited to, those expressly listed, and thus can include other similar structures as well or like

[0146] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the units is only a logical function division, and actual implementation can have another division manner, for example, multiple units or components can be combined, or can be 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 components can be through some interfaces, indirect coupling or communication connection between devices or units, which can be electrical, mechanical or other forms.

[0147] The units described above as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units; they can be located in one place or distributed on multiple network units; and some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0148] In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, or each unit can be a separate unit, 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 hardware plus software functional unit.

[0149] Those skilled in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by program instruction related hardware, the above-mentioned program can be stored in a computer readable storage medium, and the program executes the steps of the above-mentioned method embodiments when executed; and the above-mentioned storage medium includes various storage medium capable of storing program codes such as mobile storage device, ROM, magnetic disc or optical disc.

[0150] Alternatively, the above-mentioned integrated unit of the present application can be stored in a computer readable storage medium if it is realized in the form of software function module and sold or used as an independent product. Based on such understanding, the technical solutions of the embodiments of the present application can be embodied in the form of software product, and the computer software product is stored in a storage medium, including a plurality of instructions for causing an apparatus to execute all or part of the method described in the embodiments of the present application. The above-mentioned storage medium includes various storage medium capable of storing program codes such as mobile storage device, ROM, magnetic disc or optical disc.

[0151] The above disclosure is only the preferred embodiments of the present application, and of course cannot limit the scope of the right of the present application, so the equivalent changes made according to the claims of the present application still belong to the scope covered by the present application.

Claims

1. A method for identifying when an electric vehicle is in the charging phase, characterized in that, include: Acquire the sampled data to be identified; Extract multiple types of electrical parameters to be identified from the sampled data to be identified; Each of the electrical parameters to be identified is compared with the corresponding electrical threshold to obtain the comparison result; When the comparison result meets the input determination criteria, the electric vehicle is identified as being put into charging. Before comparing each of the electrical parameters to be identified with the corresponding electrical threshold to obtain the comparison result, the method further includes: Acquire simulation waveform data; the simulation waveform data contains multiple sets of electrical data to be put into operation and electrical data already put into operation; each set corresponds to a different number of electric vehicles entering the network, and each set includes multiple types of electrical data to be put into operation and electrical data already put into operation; each type of electrical data to be put into operation and electrical data already put into operation contains a different number of electric vehicles entering the network; Perform relational operations on the electrical data to be deployed and the electrical data already deployed for electric vehicles in the same group, of the same type, and with the same number of electric vehicles connected to the network, and obtain the operation results; Linear fitting is performed on the same type of operation results in each group to obtain the corresponding type of electrical threshold; The step of performing relational calculations on the electrical data to be deployed and the electrical data already deployed, which are in the same group, of the same type, and have the same number of electric vehicles registered in the network, to obtain the calculation results includes: The difference between the electrical data to be put into operation and the electrical data already put into operation for electric vehicles with the same number of times they have entered the network, the same type, and the same number of electric vehicles entering the network is calculated to obtain the corresponding sub-result. The sub-results of the same type in the same group are integrated to obtain the operation result of the corresponding type in the corresponding group; The step of linearly fitting the calculation results of the same type in each group to obtain the electrical threshold of the corresponding type includes: Perform linear fitting on the same type of operation results in all groups to obtain the fitting result; Based on the fitting results, the slope of the linear function is determined, the intercept of the linear function is updated, and two threshold lines are obtained. When the fitting result of the two threshold lines meets the threshold condition, the range covered by the two threshold lines is determined as the electrical threshold of the corresponding type.

2. The electric vehicle charging identification method as described in claim 1, characterized in that, The types of electrical data to be input and electrical data already input include at least three of the following: active power, reactive power, power factor, and effective value of harmonic current.

3. The electric vehicle charging identification method as described in claim 1, characterized in that, The step of comparing each of the electrical parameters to be identified with the corresponding electrical threshold to obtain the comparison result includes: Determine whether the electrical parameter to be identified is within the electrical threshold of the corresponding type; If it is within the electrical threshold of the corresponding type, the corresponding comparison result is "already connected to the network". If it is not within the electrical threshold of the corresponding type, the comparison result of the corresponding type is "not connected to the network". The alignment result is obtained by integrating all types of alignment sub-results.

4. The electric vehicle charging identification method as described in claim 3, characterized in that, Before identifying the electric vehicle as being put into charging when the comparison result meets the input determination criteria, the method further includes: Determine whether the number of already networked entities included in the comparison result exceeds three; If so, the comparison result is determined to meet the input determination condition; If not, the comparison result is determined to be inconsistent with the input determination condition.

5. An electric vehicle charging identification system, characterized in that, Includes an acquisition module for acquiring the sampled data to be identified; The extraction module is used to extract multiple types of electrical parameters to be identified from the sampled data to be identified; The comparison module is used to compare each of the electrical parameters to be identified with the corresponding electrical threshold to obtain the comparison result; The identification module is used to identify that the electric vehicle is put into charging when the comparison result meets the input determination conditions; The system is also used for: Before comparing each of the electrical parameters to be identified with the corresponding electrical threshold to obtain the comparison result, the method further includes: Acquire simulation waveform data; the simulation waveform data contains multiple sets of electrical data to be put into operation and electrical data already put into operation; each set corresponds to a different number of electric vehicles entering the network, and each set includes multiple types of electrical data to be put into operation and electrical data already put into operation; each type of electrical data to be put into operation and electrical data already put into operation contains a different number of electric vehicles entering the network; The difference between the electrical data to be put into operation and the electrical data already put into operation for electric vehicles with the same number of times they have entered the network, the same type, and the same number of electric vehicles entering the network is calculated to obtain the corresponding sub-result. Integrate the sub-results of the same type in the same group to obtain the operation result of the corresponding type in the corresponding group; Perform linear fitting on the same type of operation results in all groups to obtain the fitting result; Based on the fitting results, the slope of the linear function is determined, the intercept of the linear function is updated, and two threshold lines are obtained. When the fitting result of the two threshold lines meets the threshold condition, the range covered by the two threshold lines is determined as the electrical threshold of the corresponding type.

6. An electric vehicle charging identification device, comprising a memory and a processor, characterized in that, The memory stores a method for identifying electric vehicles that are engaged in charging, and the processor is used to employ the method for identifying electric vehicles engaged in charging as described in any one of claims 1-4 when executing the method.

7. A storage medium, characterized in that, The computer program is stored that can be loaded by a processor and executed as described in any one of claims 1-4.

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