Electric vehicle charging management method and system based on smart community platform

Abstract

The present application relates to an electric vehicle charging management method and system based on a smart community platform, and to the field of vehicle charging technology. The method includes obtaining a user who scans a code to log in; establishing a detection interval with the current time point as the rear end point and a width of a preset detection duration on a preset time axis, and determining the charging start time point and charging end time point according to the user who scans the code to log in in the detection interval; determining a single charging time according to adjacent charging start time points and charging end time points, and calculating a single charging efficiency according to the single charging time and the preset charging starting power; calculating the overall charging efficiency according to all single charging efficiencies, and determining a time-power correspondence plan according to the overall charging efficiency. The present application has the effect of improving the overall experience of users when charging electric vehicles.

Description

Technical Field

[0001] The present application relates to the field of vehicle charging technology, and in particular to an electric vehicle charging management method and system based on a smart community platform. Background Art

[0002] The smart community platform is a community management and service system that integrates information technology means such as big data, cloud computing, and artificial intelligence. At present, the charging of electric vehicles in the community is generally achieved through charging stations, that is, when the user needs to charge the electric vehicle, the electric vehicle charger is inserted into the socket of the charging station, and then the socket is powered by scanning the QR code on the charging station and paying the fee.

[0003] In the related art, when scanning the code to pay at the charging station, you can generally choose the specifications, such as "3 hours", "6 hours", "9 hours". At this time, the user can choose different specifications of charging time according to the remaining power of their electric vehicle to realize the charging of the electric vehicle.

[0004] In the above-mentioned related technologies, when users need to charge electric vehicles, some users will not calculate the theoretical charging time even if they know the charging power. At this time, if the charging time selected by the user is less than the required charging time, the electric vehicle will not be fully charged. If the charging time selected by the user is longer than the required charging time, the socket connected to the electric vehicle will be occupied, making it inconvenient for other electric vehicles to charge. Therefore, it is urgent to design a method that is convenient for users to charge electric vehicles. Summary of the invention

[0005] In order to improve the overall user experience when charging an electric vehicle, the present application provides an electric vehicle charging management method and system based on a smart community platform.

[0006] In the first aspect, the present application provides an electric vehicle charging management method based on a smart community platform, which adopts the following technical solutions:

[0007] A method for managing electric vehicle charging based on a smart community platform, comprising:

[0008] Get the user who scans the QR code to log in;

[0009] A detection interval with the current time point as the end point and a width of the preset detection duration is established on the preset time axis, and the charging start time point and the charging end time point are determined according to the user who scans the code to log in in the detection interval;

[0010] Determine a single charging time according to adjacent charging start time points and charging end time points, and calculate a single charging efficiency according to the single charging time and a preset charging starting power;

[0011] The overall charging efficiency is determined by calculating all single charging efficiencies, and the duration-capacity correspondence scheme is determined based on the overall charging efficiency.

[0012] Optionally, after the scan code is scanned and the user is confirmed to log in, the electric vehicle charging management method based on the smart community platform also includes:

[0013] Obtain the user's registered vehicle based on the scanned code login user;

[0014] Counting the vehicles registered by the users to determine the number of the users' vehicles;

[0015] Determine whether the number of user vehicles is one;

[0016] If the number of the user's vehicles is one, the charging start time and charging end time are determined according to the user's registered vehicle;

[0017] If the number of the user's vehicles is not one, the scanned location point is obtained, and the charging vehicle image is obtained according to the scanned location point;

[0018] Image recognition analysis is performed on the charging vehicle image to determine the currently used vehicle, and the charging start time point and the charging end time point are determined in the detection interval according to the currently used vehicle.

[0019] Optionally, after the currently used vehicle is determined, the electric vehicle charging management method based on the smart community platform also includes:

[0020] Compare the currently used vehicles with the user's registered vehicles one by one to determine the vehicle similarity value;

[0021] Determining whether the maximum vehicle similarity value is greater than a preset benchmark similarity value;

[0022] If the maximum vehicle similarity value is greater than the reference similarity value, the charging start time point and the charging end time point are determined according to the user registered vehicle corresponding to the maximum vehicle similarity value;

[0023] If the maximum vehicle similarity value is not greater than the reference similarity value, a vehicle selection window is generated and outputted according to the vehicle registered by the user.

[0024] Optionally, the step of calculating the overall charging efficiency based on all single charging efficiencies includes:

[0025] A single charging efficiency is randomly selected from all the single charging efficiencies and defined as the original charging efficiency, and the remaining single charging efficiencies are defined as the comparison charging efficiencies;

[0026] Performing a difference calculation based on the original charging efficiency and the comparison charging efficiency to determine the difference charging efficiency, and performing an average calculation based on all the difference charging efficiencies to determine the average difference efficiency;

[0027] The original charging efficiency whose average difference efficiency is less than the preset reference difference efficiency is defined as the effective charging efficiency;

[0028] The overall charging efficiency is determined by averaging all the available charging efficiencies.

[0029] Optionally, after the effective charging efficiency is defined, the electric vehicle charging management method based on the smart community platform also includes:

[0030] The mean difference efficiency corresponding to the effective charging efficiency is defined as the cutoff difference efficiency;

[0031] Arrange all the difference charging efficiencies on both sides of the boundary difference efficiency according to their numerical values, and count the difference charging efficiencies on one side to determine the number of difference efficiencies;

[0032] The total difference efficiency is determined by summing up the two difference efficiency quantities, and the single-side efficiency ratio is determined by calculating the difference efficiency quantity and the total difference efficiency;

[0033] Determine whether the unilateral efficiency ratio is greater than the preset demand efficiency ratio;

[0034] If the single-side efficiency ratio is greater than the required efficiency ratio, the defined effective charging efficiency is maintained;

[0035] If the single-side efficiency ratio is not greater than the demand efficiency ratio, the defined effective charging efficiency will be cancelled.

[0036] Optionally, after the duration-power correspondence plan is determined, the electric vehicle charging management method based on the smart community platform also includes:

[0037] Get the most recent charging time of the current vehicle;

[0038] Determine the vehicle usage time based on the most recent charging time and the current time point;

[0039] Calculate based on the vehicle usage time and the preset similar time to determine the similar time interval;

[0040] Determine the historical usage time according to adjacent charging end time points and charging start time points in the detection interval;

[0041] The corresponding charging start time point when the historical usage time is in a similar range is defined as the effective time point, and the corresponding single charging time is defined as the reference charging time;

[0042] The average of all reference charging times is calculated to determine the average reference time, and a reference mark is made according to the average reference time in the time-capacity correspondence scheme.

[0043] Optionally, the step of performing reference marking according to the average reference duration in the duration-power correspondence scheme includes:

[0044] The durations on both sides of the mean reference duration in the duration-power correspondence solution are defined as feasible reference durations;

[0045] The difference between the feasible reference duration and each reference charging duration is calculated to determine the single deviation duration, and the average of all single deviation durations is calculated to determine the average deviation duration;

[0046] The mean deviation duration with the smallest value is determined according to the preset sorting rules, and the feasible reference duration corresponding to the mean deviation duration is marked as a reference.

[0047] In the second aspect, the present application provides an electric vehicle charging management system based on a smart community platform, which adopts the following technical solutions:

[0048] An electric vehicle charging management system based on a smart community platform, comprising:

[0049] The acquisition module is used to obtain the user who scans the code to log in;

[0050] A processing module, connected to the acquisition module, for storing and processing information;

[0051] The processing module establishes a detection interval with the current time point as the end point and a width of the preset detection time on the preset time axis, and determines the charging start time point and the charging end time point according to the user who scans the code to log in in the detection interval;

[0052] The processing module determines a single charging time according to adjacent charging start time points and charging end time points, and calculates a single charging efficiency according to the single charging time and a preset charging start power;

[0053] The processing module calculates the overall charging efficiency based on all the single charging efficiencies, and determines the duration-power correspondence plan based on the overall charging efficiency.

[0054] In summary, the present application includes at least one of the following beneficial technical effects:

[0055] When charging an electric vehicle, a suitable charging plan can be generated for the user to choose based on the historical charging status of the electric vehicle, thereby improving the overall experience of the user when charging the electric vehicle;

[0056] When a user has multiple electric vehicles, the electric vehicle that needs to be charged can be determined to produce a more appropriate charging plan;

[0057] When a charging plan is produced, the remaining power of the current electric vehicle can be estimated based on the historical charging status of the electric vehicle, so that the most suitable charging plan can be marked for users to choose and refer to. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is a flow chart of the electric vehicle charging management method based on the smart community platform.

[0059] Figure 2 is a flow chart of a multi-vehicle selection method.

[0060] Figure 3 It is a flow chart of the vehicle similarity situation analysis method.

[0061] Figure 4 is a flow chart of a method for determining overall charging efficiency.

[0062] Figure 5 It is a flow chart of the effective charging efficiency analysis method.

[0063] Figure 6 It is a flow chart of the charging scheme marking method.

[0064] Figure 7 It is a flowchart of the precise method of scheme marking.

[0065] Figure 8 It is a module flow chart of the electric vehicle charging management method based on the smart community platform. DETAILED DESCRIPTION

[0066] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-Figure 8 It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0067] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0068] The embodiment of the present application discloses an electric vehicle charging management method based on a smart community platform. When a user charges an electric vehicle, the electric vehicle to be charged is identified, and the charging status of the electric vehicle in historical situations is obtained, thereby generating a charging plan for the user to choose, so as to reduce the situation where the user cannot know the charging status and chooses a relatively inappropriate charging time, thereby improving the overall experience of the user when charging the electric vehicle.

[0069] Reference Figure 1 The method flow of the electric vehicle charging management method based on the smart community platform includes the following steps:

[0070] Step S100: Get the user who scans the code to log in.

[0071] The user who scans the code to log in is the user who is currently logged in to the APP or mini program corresponding to the charging station and needs to unlock the socket.

[0072] Step S101: establishing a detection interval with the current time point as the end point and a width of the preset detection duration on the preset time axis, and determining the charging start time point and the charging end time point according to the user who scans the code to log in in the detection interval.

[0073] The time axis is a coordinate axis formed by the combination of various time points. The coordinate axis points from the time points that have passed to the time points that have not yet arrived. The detection duration is the duration for which the user's historical charging data can be obtained, for example 1 year. A detection interval is established to facilitate the acquisition and analysis of data within the detection duration; the charging start time point is the time point when the user completes the scan code payment each time he charges the electric vehicle, and the charging end time point is the time point when the user's electric vehicle battery is fully charged.

[0074] Step S102: determining a single charging duration according to adjacent charging start time points and charging end time points, and performing calculation according to the single charging duration and a preset charging start power to determine a single charging efficiency.

[0075] The duration of a single charge is the interval between the charging end time point and the charging start time point that is before and adjacent to the charging end time point on the timeline, that is, the duration of a single charging of the electric vehicle by the charging station; the charging starting power is the starting power when the electric vehicle is charged. The specific value of the power can be manually input by the staff by checking the percentage of the power monitoring device on the electric vehicle. When the staff does not enter a specific value, the preset default value is used as the charging starting power, for example 5%; the single charging efficiency is the effectiveness of charging the electric vehicle. The total power of the charge is obtained by subtracting the charging starting power from the full load power of the electric vehicle, and the charging efficiency is obtained by dividing the total power by the single charging duration.

[0076] Step S103: Calculate the overall charging efficiency based on all single charging efficiencies, and determine a duration-power correspondence plan based on the overall charging efficiency.

[0077] The overall charging efficiency is a value that can reflect the specific charging efficiency of the vehicle. For example, the overall charging efficiency can be obtained by averaging all single charging efficiencies, or determined by the method of steps S400-S403. The overall charging efficiency can be used to know the amount of electricity that can be charged to the electric vehicle within the corresponding duration, that is, the duration-electricity correspondence plan, such as 1 hour-15% electricity; 2 hours-30% electricity, etc. At this time, the user can select the corresponding duration according to the amount of electricity required to be charged for the electric vehicle, so that the user can choose a more appropriate charging duration.

[0078] Reference Figure 2 After the user is confirmed by scanning the code to log in, the electric vehicle charging management method based on the smart community platform also includes:

[0079] Step S200: Obtain the user's registered vehicle based on the scanned code logged in user.

[0080] When a user registers a vehicle, he or she scans the code to log in to the vehicle registered by the user that can be charged.

[0081] Step S201: Count the number of vehicles registered by the user to determine the number of the user's vehicles.

[0082] The number of user vehicles is the total number of vehicles registered by the user, and can be obtained by counting the vehicles registered by the user one by one.

[0083] Step S202: Determine whether the number of the user's vehicles is one.

[0084] The purpose of the judgment is to find out whether the user's vehicle is unique, so as to obtain the historical charging status of the vehicle.

[0085] Step S2021: If the number of the user's vehicles is one, the charging start time and the charging end time are determined according to the user's registered vehicle.

[0086] When the number of the user's vehicles is one, it means that the user has only one vehicle that can be charged. At this time, the charging start time point and the charging end time point can be obtained normally.

[0087] Step S2022: If the number of the user's vehicles is not one, obtain the scanned code location point, and obtain the charging vehicle image based on the scanned code location point.

[0088] When the number of vehicles of a user is not one, it means that the user has multiple vehicles that can be charged. At this time, it is necessary to distinguish the charging data of the vehicles in the historical situation in order to obtain the historical charging data of the vehicle that currently needs to be charged; the scanning location point is the location of the QR code scanned by the user, that is, the location of the socket to which the current electric vehicle is connected. The charging vehicle image is the image of the scanning location point obtained by the image acquisition device installed at the charging station that can monitor the charging behavior of the vehicles in the charging station.

[0089] Step S203: performing image recognition analysis on the charging vehicle image to determine the currently used vehicle, and determining the charging start time point and the charging end time point in the detection interval according to the currently used vehicle.

[0090] The currently used vehicle is the vehicle identified in the charging vehicle image. The vehicle identification can be obtained by training and learning different vehicle samples in advance to obtain a vehicle identification library, and then the acquired charging vehicle image is input into the vehicle identification library to determine the currently used vehicle; the currently used vehicle is used to obtain the corresponding fixed charging start time point and charging end time point in the detection interval, so as to accurately determine the vehicle data in advance to reduce the occurrence of inaccurate determination of the overall charging efficiency.

[0091] Reference Figure 3 After the currently used vehicles are determined, the electric vehicle charging management method based on the smart community platform also includes:

[0092] Step S300: Compare the currently used vehicle with the user's registered vehicles one by one to determine the vehicle similarity value.

[0093] The vehicle similarity value is the similarity value of the currently used vehicle after comparing the two vehicles with the registered vehicle of the registered user.

[0094] Step S301: Determine whether the maximum vehicle similarity value is greater than a preset reference similarity value.

[0095] The benchmark similarity value is the minimum vehicle similarity value set by the staff to determine that the currently used vehicle is among the user's registered vehicles. The purpose of the judgment is to find out whether there is a possibility that the currently used vehicle is the user's new, unregistered vehicle.

[0096] Step S3011: If the maximum vehicle similarity value is greater than the reference similarity value, the charging start time point and the charging end time point are determined according to the user registered vehicle corresponding to the maximum vehicle similarity value.

[0097] When the maximum vehicle similarity value is greater than the benchmark similarity value, it indicates that the currently used vehicle, i.e., the user-registered vehicle corresponding to the maximum vehicle similarity value, can be used to determine the charging start time and charging end time based on the user-registered vehicle.

[0098] Step S3012: If the maximum vehicle similarity value is not greater than the reference similarity value, a vehicle selection window is generated and outputted according to the user registered vehicles.

[0099] When the maximum vehicle similarity value is not greater than the baseline similarity value, it means that it is impossible to determine which vehicle is currently in use. At this time, a vehicle selection window is generated based on all user-registered vehicles for the user to manually click and select. At the same time, the vehicle selection window is connected to the vehicle registration window. If the vehicle at this time is a new vehicle, the vehicle registration window can be entered through the vehicle selection window to register the vehicle.

[0100] Reference Figure 4 , the steps of calculating the overall charging efficiency based on all the single charging efficiencies include:

[0101] Step S400: randomly selecting a single charging efficiency from all the single charging efficiencies and defining it as the original charging efficiency, and defining the remaining single charging efficiencies as the comparison charging efficiencies.

[0102] Define the original charging efficiency and compare the charging efficiency to distinguish different single charging efficiencies for subsequent analysis.

[0103] Step S401: performing a difference calculation based on the original charging efficiency and the comparison charging efficiency to determine the difference charging efficiency, and performing an average calculation based on all the difference charging efficiencies to determine the average difference efficiency.

[0104] The difference charging efficiency is the difference between the original charging efficiency and the comparison charging efficiency, which is an absolute value. The mean difference efficiency is the average value of all the difference charging efficiencies.

[0105] Step S402: defining the original charging efficiency whose average difference efficiency is less than the preset reference difference efficiency as the effective charging efficiency.

[0106] The benchmark difference efficiency is the minimum mean difference efficiency that needs to be met when the differences between the original charging efficiency and the other compared charging efficiencies are determined to be small by the staff. The effective charging efficiency is defined to distinguish different original charging efficiencies for subsequent analysis.

[0107] Step S403: Calculate the average value of all effective charging efficiencies to determine the overall charging efficiency.

[0108] The overall charging efficiency is the average value of all effective charging efficiencies. The overall charging efficiency is determined by the effective charging efficiency to exclude single charging efficiencies with large deviations, thereby improving the accuracy of the determined overall charging efficiency.

[0109] Reference Figure 5 After the effective charging efficiency is defined, the electric vehicle charging management method based on the smart community platform also includes:

[0110] Step S500: defining the mean difference efficiency corresponding to the effective charging efficiency as the cutoff difference efficiency.

[0111] The cutoff difference efficiency is defined to distinguish different mean difference efficiencies for subsequent analysis.

[0112] Step S501: Arrange all the difference charging efficiencies on both sides of the boundary difference efficiency according to their numerical values, and count the difference charging efficiencies on one side to determine the number of difference efficiencies.

[0113] The differential efficiency number is the total number of all differential charging efficiencies on one side of the dividing differential efficiency.

[0114] Step S502: performing a sum calculation based on the two difference efficiency quantities to determine the total difference efficiency, and performing a calculation based on the difference efficiency quantity and the total difference efficiency to determine the single-side efficiency ratio.

[0115] The total differential efficiency is the sum of the two differential efficiency quantities, and the single efficiency ratio is the value obtained by dividing the differential efficiency quantity by the total differential efficiency.

[0116] Step S503: determine whether the single-side efficiency ratio is greater than a preset demand efficiency ratio.

[0117] The demand efficiency ratio is the minimum single efficiency ratio that needs to be met when there is relatively concentrated data on one side of the boundary difference efficiency set by the staff. The purpose of the judgment is to know whether the difference charging efficiency on one side is relatively concentrated.

[0118] Step S5031: If the single-side efficiency ratio is greater than the required efficiency ratio, the defined effective charging efficiency is maintained.

[0119] When the single-side efficiency ratio is greater than the demand efficiency ratio, it means that the data on one side is more concentrated, that is, the effective charging efficiency is closer to most of the compared charging efficiencies. At this time, the effective charging efficiency can be maintained normally.

[0120] Step S5032: If the single-side efficiency ratio is not greater than the required efficiency ratio, the defined effective charging efficiency is cancelled.

[0121] When the single-side efficiency ratio is not greater than the demand efficiency ratio, it means that the data on one side is not concentrated. At this time, the determined data may be affected by data with a large deviation value. The effective charging efficiency is canceled to improve the accuracy of the overall charging efficiency determination.

[0122] Reference Figure 6 After the duration-power correspondence plan is determined, the electric vehicle charging management method based on the smart community platform also includes:

[0123] Step S600: Obtain the most recent charging time point of the current vehicle.

[0124] The most recent charging time point is the time point when the vehicle was last charged and fully charged, that is, the charging end time point closest to the current time point.

[0125] Step S601: Determine the vehicle usage time based on the most recent charging time point and the current time point.

[0126] The vehicle usage time refers to the time from the last time the electric vehicle was charged to the time it needs to be charged again, that is, the interval between the last charging time point and the current time point.

[0127] Step S602: Calculate based on the vehicle usage time and the preset similar time to determine the similar time interval.

[0128] The similar duration is the difference between the duration set by the staff and the duration of vehicle usage that is relatively close to the duration of vehicle usage. The similar duration interval is the duration interval that is obtained by taking the duration of vehicle usage minus the similar duration as the lower endpoint and the duration of vehicle usage plus the similar duration as the upper endpoint.

[0129] Step S603: determining the historical usage duration according to adjacent charging end time points and charging start time points in the detection interval.

[0130] The historical usage time is the time interval between the charging end time point of the vehicle and the subsequent charging start time point on the timeline that is closest to the charging end time point.

[0131] Step S604: define the corresponding charging start time point when the historical usage duration is in a similar interval as the effective time point, and define the corresponding single charging duration as the reference charging duration.

[0132] When the historical usage time is in a similar range, it means that the current vehicle usage is similar to the historical usage. At this time, the effective time point and reference charging time are defined to distinguish different data for subsequent analysis.

[0133] Step S605: Calculate the average value of all reference charging durations to determine the average reference duration, and make a reference mark in the duration-electricity correspondence scheme according to the average reference duration.

[0134] The mean reference time is the average of all reference charging times, that is, the mean reference time is the most appropriate time for users to choose for charging. At this time, the mean reference time is used as a reference mark in the time-power correspondence scheme to facilitate user selection.

[0135] Reference Figure 7 The step of making a reference mark according to the average reference duration in the duration-power correspondence scheme includes:

[0136] Step S700: define the durations on both sides of the mean reference duration in the duration-power correspondence solution as feasible reference durations.

[0137] Since the duration-power correspondence plan does not determine a plan for each duration, the plan corresponding to the average reference duration may not exist. For example, the determined average reference duration is 3.6 hours, but the duration-power correspondence plan only has plans for whole hours, such as 1 hour, 2 hours, 3 hours, 4 hours, etc. At this time, the feasible reference durations are 3 hours and 4 hours.

[0138] Step S701: performing a difference calculation based on the feasible reference duration and each reference charging duration to determine a single cell deviation duration, and performing an average calculation based on all single cell deviation durations to determine an average deviation duration.

[0139] The single cell deviation duration is the difference between the feasible reference duration and the reference charging duration. The difference is an absolute value. The mean deviation duration is the average value of all single cell deviation durations.

[0140] Step S702: Determine the mean deviation duration with the smallest value according to a preset sorting rule, and mark the feasible reference duration corresponding to the mean deviation duration as a reference.

[0141] The sorting rule is a method set by the staff to sort the size of values, such as the bubble method. The sorting rule can be used to determine the mean deviation time with the smallest value, that is, the feasible reference time corresponding to the mean deviation time is closer to the other reference charging times, and it is most appropriate to mark it at this time.

[0142] Reference Figure 8 Based on the same inventive concept, an embodiment of the present invention provides an electric vehicle charging management system based on a smart community platform, including:

[0143] The acquisition module is used to obtain the user who scans the code to log in;

[0144] A processing module, connected to the acquisition module, for storing and processing information;

[0145] The processing module establishes a detection interval with the current time point as the end point and a width of the preset detection time on the preset time axis, and determines the charging start time point and the charging end time point according to the user who scans the code to log in in the detection interval;

[0146] The processing module determines a single charging time according to adjacent charging start time points and charging end time points, and calculates a single charging efficiency according to the single charging time and a preset charging start power;

[0147] The processing module calculates the overall charging efficiency based on all the single charging efficiencies, and determines the duration-power correspondence plan based on the overall charging efficiency;

[0148] The multi-vehicle selection module is used to select vehicles when there are multiple vehicles for the same customer;

[0149] The vehicle similarity analysis module is used to analyze and process the specific situations of vehicle similarity;

[0150] An overall charging efficiency determination module is used to more accurately determine the overall charging efficiency;

[0151] An effective charging efficiency analysis module, used for analyzing and processing the defined effective charging efficiency to maintain or cancel the defined effective charging efficiency;

[0152] A charging scheme marking module is used to mark the charging scheme that best meets the needs of the current user;

[0153] The scheme marking precision module is used to mark the charging scheme that is most suitable in theory.

[0154] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

Claims

1. A method for managing electric vehicle charging based on a smart community platform, characterized in that: include: Get the user who scans the QR code to log in; A detection interval with the current time point as the end point and a width of the preset detection duration is established on the preset time axis, and the charging start time point and the charging end time point are determined according to the user who scans the code to log in in the detection interval; Determine a single charging time according to adjacent charging start time points and charging end time points, and calculate a single charging efficiency according to the single charging time and a preset charging starting power; The overall charging efficiency is determined by calculating all the single charging efficiencies, and the duration-capacity correspondence scheme is determined based on the overall charging efficiency; After the user is confirmed by scanning the code to log in, the electric vehicle charging management method based on the smart community platform also includes: Obtain the user's registered vehicle based on the scanned code login user; Counting the vehicles registered by the users to determine the number of the users' vehicles; Determine whether the number of user vehicles is one; If the number of the user's vehicles is one, the charging start time and charging end time are determined according to the user's registered vehicle; If the number of the user's vehicles is not one, the scanned location point is obtained, and the charging vehicle image is obtained according to the scanned location point; Perform image recognition analysis on the charging vehicle image to determine the currently used vehicle, and determine the charging start time and charging end time in the detection interval based on the currently used vehicle; After the duration-power correspondence plan is determined, the electric vehicle charging management method based on the smart community platform also includes: Get the most recent charging time of the current vehicle; Determine the vehicle usage time based on the most recent charging time and the current time point; Calculate based on the vehicle usage time and the preset similar time to determine the similar time interval; Determine the historical usage time according to adjacent charging end time points and charging start time points in the detection interval; The corresponding charging start time point when the historical usage time is in a similar range is defined as the effective time point, and the corresponding single charging time is defined as the reference charging time; Calculate the average of all reference charging times to determine the average reference time, and mark the reference according to the average reference time in the time-capacity correspondence scheme; The step of performing reference marking according to the average reference duration in the duration-power correspondence scheme includes: The durations on both sides of the mean reference duration in the duration-power correspondence solution are defined as feasible reference durations; The difference between the feasible reference duration and each reference charging duration is calculated to determine the single deviation duration, and the average of all single deviation durations is calculated to determine the average deviation duration; The mean deviation duration with the smallest value is determined according to the preset sorting rules, and the feasible reference duration corresponding to the mean deviation duration is marked as a reference.

2. The electric vehicle charging management method based on the smart community platform according to claim 1 is characterized in that: After the currently used vehicles are determined, the electric vehicle charging management method based on the smart community platform also includes: Compare the currently used vehicles with the user's registered vehicles one by one to determine the vehicle similarity value; Determining whether the maximum vehicle similarity value is greater than a preset benchmark similarity value; If the maximum vehicle similarity value is greater than the reference similarity value, the charging start time point and the charging end time point are determined according to the user registered vehicle corresponding to the maximum vehicle similarity value; If the maximum vehicle similarity value is not greater than the reference similarity value, a vehicle selection window is generated and outputted according to the user registered vehicles.

3. The electric vehicle charging management method based on the smart community platform according to claim 1 is characterized in that: The steps to calculate the overall charging efficiency based on all the single charging efficiencies include: A single charging efficiency is randomly selected from all the single charging efficiencies and defined as the original charging efficiency, and the remaining single charging efficiencies are defined as the comparison charging efficiencies; Performing a difference calculation based on the original charging efficiency and the comparison charging efficiency to determine the difference charging efficiency, and performing an average calculation based on all the difference charging efficiencies to determine the average difference efficiency; The original charging efficiency whose average difference efficiency is less than the preset reference difference efficiency is defined as the effective charging efficiency; The overall charging efficiency is determined by averaging all the available charging efficiencies.

4. The electric vehicle charging management method based on the smart community platform according to claim 3 is characterized in that: After the effective charging efficiency is defined, the electric vehicle charging management method based on the smart community platform also includes: The mean difference efficiency corresponding to the effective charging efficiency is defined as the cutoff difference efficiency; Arrange all the difference charging efficiencies on both sides of the boundary difference efficiency according to their numerical values, and count the difference charging efficiencies on one side to determine the number of difference efficiencies; The total difference efficiency is determined by summing up the two difference efficiency quantities, and the single-side efficiency ratio is determined by calculating the difference efficiency quantity and the total difference efficiency; Determine whether the unilateral efficiency ratio is greater than the preset demand efficiency ratio; If the single-side efficiency ratio is greater than the required efficiency ratio, the defined effective charging efficiency is maintained; If the single-side efficiency ratio is not greater than the demand efficiency ratio, the defined effective charging efficiency will be cancelled.

5. An electric vehicle charging management system based on a smart community platform, which is used to implement the electric vehicle charging management method based on a smart community platform as described in any one of claims 1 to 4, characterized in that: include: The acquisition module is used to obtain the user who scans the code to log in; A processing module, connected to the acquisition module, for storing and processing information; The processing module establishes a detection interval with the current time point as the end point and a width of the preset detection time on the preset time axis, and determines the charging start time point and the charging end time point according to the user who scans the code to log in in the detection interval; The processing module determines a single charging time according to adjacent charging start time points and charging end time points, and calculates a single charging efficiency according to the single charging time and a preset charging start power; The processing module calculates the overall charging efficiency based on all the single charging efficiencies, and determines the duration-power correspondence plan based on the overall charging efficiency.

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