A charging station management method and system based on a smart box

Abstract

The application relates to a charging station management method and system based on an intelligent box, and relates to the field of vehicle charging technology.The method comprises the following steps: acquiring overall power of a power grid and charging demand power of each charging pile at present; determining overall demand power according to the charging demand power, and determining available power of the power grid according to the overall power of the power grid and a disturbance resistance coefficient; when the overall demand power is greater than the available power of the power grid, acquiring the battery power percentage, the remaining charging time and the vehicle priority coefficient of each vehicle according to each charging pile; calculating the vehicle basic weight according to the battery power percentage, the remaining charging time and the vehicle priority coefficient; calculating the effective distribution power according to the available power of the power grid, the vehicle basic weight and the charging demand power, and controlling each charging pile to work at the corresponding effective distribution power.The application has the effect of improving the charging experience of vehicles when the vehicles use the charging station to charge.

Description

Technical Field

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

[0002] With the rapid popularization of electric vehicles, the scale of charging station construction continues to expand. Traditional charging pile management methods can no longer meet the needs of efficient and intelligent charging. In order to improve the operating efficiency of charging stations and the stability of the power grid, charging station management systems based on smart boxes have emerged in existing technologies, which realize remote monitoring and load scheduling of charging piles through Internet of Things technology.

[0003] In related technologies, a smart box can dynamically adjust power distribution based on the grid capacity and the operating status of the charging piles. For example, if 10 120kW fast charging piles work at the same time, the total demand reaches 1200kW, but the grid only supports 800kW. At this time, the smart box can dynamically adjust the output power of each charging pile from 120kW to 80kW to reduce overload when charging with multiple piles.

[0004] Among the above-mentioned related technologies, in the process of power scheduling and allocation, the strategy currently commonly used is simple average distribution, that is, the available power is evenly distributed among all charging vehicles. Although this can realize the charging operation of the vehicle, the charging operation requirements of each vehicle are different, resulting in a poor charging experience when the vehicle uses the current charging station to charge, and there is still room for improvement. Summary of the Invention

[0005] In order to improve the charging experience when a vehicle is charged at a charging station, the present application provides a charging station management method and system based on a smart box.

[0006] In a first aspect, the present application provides a charging station management method based on a smart box, which adopts the following technical solutions:

[0007] A charging station management method based on a smart box, comprising:

[0008] Obtain the overall power of the power grid and the current charging power demand of each charging pile;

[0009] Calculate the overall power demand based on the power requirements of each charging station, and calculate the available power of the grid based on the overall power of the grid and the preset anti-disturbance coefficient;

[0010] Determine whether the overall required power is greater than the available power of the grid;

[0011] If the overall required power is not greater than the available power of the grid, each charging pile is controlled to operate at the corresponding required charging power;

[0012] If the overall power demand is greater than the available power of the grid, the battery power percentage, remaining charging time, and vehicle priority coefficient of each vehicle are obtained based on each charging pile;

[0013] The vehicle base weight is determined by calculating the battery power percentage, the remaining charging time, and the vehicle priority factor;

[0014] The effective allocated power is determined based on the available power of the grid, the basic weight of the vehicle, and the charging demand power, and each charging pile is controlled to operate with the corresponding effective allocated power.

[0015] Optionally, the method further includes a step of obtaining the remaining charging time, which includes:

[0016] Get user input status;

[0017] Determine whether the user input state is consistent with the preset valid input state;

[0018] If the user input status is consistent with the valid input status, the input end time is obtained according to the valid input status, and the remaining charging time is determined according to the input end time and the current time point;

[0019] If the user input status is inconsistent with the valid input status, the charging operation account and the user start time period are obtained;

[0020] Constructing a historical interval with the current time point as the end point and a width of a preset historical length on a preset time axis, and determining a single starting time period and a corresponding single moving time period based on the charging operation account in the historical interval;

[0021] An analysis is performed based on each single start period, single move period, and user start period to determine a predicted move period, and the remaining charging time is determined based on the predicted move period and the current time point.

[0022] Optionally, the step of analyzing each single start time period, each single move time period, and the user start time period to determine the predicted move time period includes:

[0023] The single movement period corresponding to the single start period that is consistent with the user's start period is defined as a valid reference period;

[0024] Determine the actual time interval based on the specific time point of the valid reference period and the current time point, and determine the effective trust value corresponding to the actual time interval based on the preset trust matching relationship;

[0025] Calculate the effective trust value corresponding to the different effective reference periods in each period to determine the reference quantity of the period;

[0026] Calculate the reference quantity of each time period to determine the reference ratio of the time period, and determine whether the reference ratio of the time period is greater than the preset effective habit ratio;

[0027] If the reference ratio of a time period is greater than the effective habit ratio, the corresponding single movement period is defined as the predicted movement period;

[0028] If there is no case where the time period reference ratio is greater than the effective habit ratio, the predicted movement period is determined based on the user's starting time period and the preset single fixed duration.

[0029] Optionally, after the effective allocated power is determined, the charging station management method based on the smart box further includes:

[0030] Obtaining the baseline required power of each vehicle;

[0031] Determine whether all effectively allocated powers are greater than the corresponding reference required powers;

[0032] If all the effective allocated powers are greater than the corresponding benchmark required powers, each charging pile is controlled to operate according to the effective allocated power;

[0033] If all the effective allocated powers are not greater than the corresponding reference required powers, the charging piles corresponding to the effective allocated powers not greater than the reference required powers are defined as missing piles, and the remaining charging piles are defined as complete piles;

[0034] The difference between each effective allocated power and the benchmark required power is calculated to determine the required difference power, and the total supplementary power is determined by summing up all the required supplementary powers of the missing piles;

[0035] The demand adjustment power is determined based on the overall supplementary power, the vehicle basic weight and the demand difference power of each perfect pile, and the adjusted allocation power is determined based on the demand adjustment power and the effective allocation power;

[0036] The missing piles are controlled to operate at the corresponding benchmark required power, and the complete piles are controlled to operate at the corresponding adjusted allocated power.

[0037] Optionally, after each charging pile is operated, the charging station management method based on the smart box further includes:

[0038] Construct a detection interval on the time axis with the time when the charging pile starts operating as the starting point and the width as the preset detection duration, and obtain the actual operating power of each charging pile at each time point in the detection interval;

[0039] The power of each charging pile is defined as the theoretical operating power, and the power disturbance power is determined by calculation based on the actual operating power and the theoretical operating power;

[0040] The overall disturbance power is determined by summing up the power disturbance powers at the same time point;

[0041] Calculate the anti-disturbance power based on the overall power of the grid and the available power of the grid;

[0042] The overall disturbance power with the largest value is determined according to a preset sorting rule, and the effective disturbance ratio is determined by calculation based on the overall disturbance power and the anti-disturbance power.

[0043] Optionally, after the effective disturbance ratio is determined, the charging station management method based on the smart box further includes:

[0044] The permitted release power is determined based on the anti-disturbance power and the effective proportion of disturbance;

[0045] Performing a sum calculation based on the permitted released power and the grid available power to update the grid available power;

[0046] After the available power of the power grid is updated, the theoretical operating power of each charging pile is recalculated, and the operation of each charging pile is controlled according to the theoretical operating power.

[0047] In a second aspect, the present application provides a charging station management system based on a smart box, which adopts the following technical solutions:

[0048] A charging station management system based on a smart box, comprising:

[0049] The acquisition module is used to obtain the overall power of the power grid and the current charging power demand of each charging pile;

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

[0051] The judgment module is connected with the acquisition module and the processing module and is used for judging the information;

[0052] The processing module calculates the overall required power based on the power requirements of each charging unit, and calculates the available power of the grid based on the overall power of the grid and a preset anti-disturbance coefficient;

[0053] The judgment module judges whether the overall required power is greater than the available power of the power grid;

[0054] If the judgment module determines that the overall required power is not greater than the available power of the grid, the processing module controls each charging pile to operate at the corresponding required charging power;

[0055] If the judgment module determines that the overall required power is greater than the available power of the grid, the acquisition module obtains the battery power percentage, remaining charging time and vehicle priority coefficient of each vehicle based on each charging pile;

[0056] The processing module calculates the vehicle base weight based on the battery power percentage, the remaining charging time, and the vehicle priority coefficient;

[0057] The processing module calculates the effective allocated power based on the available power of the grid, the basic weight of the vehicle and the charging demand power, and controls each charging pile to operate with the corresponding effective allocated power.

[0058] In a third aspect, the present application provides a computer storage medium capable of storing corresponding programs, which has the characteristics of improving the charging experience of vehicles when charging at charging stations, and adopts the following technical solutions:

[0059] A computer-readable storage medium stores a computer program that can be loaded by a processor and execute any of the above-mentioned charging station management methods based on a smart box.

[0060] In summary, this application includes at least one of the following beneficial technical effects:

[0061] 1. When the grid power cannot meet the power requirements of all charging piles to operate normally at the same time, the system can analyze the charging needs of vehicles connected to each charging pile to reasonably allocate charging power, thereby improving the charging experience of vehicles at the charging station;

[0062] 2. Analyze the charging habits of each vehicle to better determine the charging needs of each vehicle;

[0063] 3. According to the actual fluctuation of the current power grid, part of the power can be released to better meet the charging needs of various vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 It is a flow chart of the charging station management method based on the smart box.

[0065] Figure 2 It is a module flow chart of the charging station management method based on the smart box. DETAILED DESCRIPTION

[0066] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-Figure 2 It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application.

[0067] The embodiments of the present application are described in further detail below with reference to the accompanying drawings.

[0068] The present application embodiment discloses a charging station management method based on a smart box, referring to Figure 1 The method flow of the charging station management method based on the smart box includes the following steps:

[0069] Step S100: Obtain the overall power of the power grid and the current charging power requirements of each charging pile.

[0070] The overall power of the power grid refers to all the power values ​​currently available in the power grid, and the charging demand power refers to the charging power required for vehicles connected to each charging pile to charge in the set charging mode. Both can be obtained through the smart box on the charging station.

[0071] Step S101: Calculate the overall required power based on the required power of each charging unit, and calculate the available power of the power grid based on the overall power of the power grid and a preset anti-disturbance coefficient.

[0072] The overall power demand is the total power required when all charging piles are charged according to the corresponding mode, which is obtained by adding the power demands of each charging pile. The anti-disturbance coefficient is the power set by the staff to use part of the power to resist power disturbances while the other power can be used normally. The value is between 0-1, for example, 0.9, which means that 10% of the power is reserved for resisting power disturbances. The available power of the grid that can be used by all charging piles can be obtained by multiplying the overall power of the grid by the anti-disturbance coefficient.

[0073] Step S102: Determine whether the overall required power is greater than the available power of the power grid.

[0074] The purpose of the judgment is to know whether the power of the current power grid can meet the charging requirements of each charging pile.

[0075] Step S1021: If the overall required power is not greater than the available power of the grid, each charging pile is controlled to operate at the corresponding required charging power.

[0076] When the overall required power is not greater than the available power of the grid, it means that the power of the grid can meet the charging requirements of each charging pile. At this time, each charging pile can operate at the required charging power.

[0077] Step S1022: If the overall required power is greater than the available power of the grid, the battery power percentage, remaining charging time, and vehicle priority coefficient of each vehicle are obtained according to each charging pile.

[0078] When the overall required power is greater than the available power of the power grid, it means that all charging piles cannot operate at the required charging power, so further analysis is needed; the battery power percentage is the ratio of the current remaining power of the vehicle, that is, the SOC value; the remaining charging time is the remaining time for charging the vehicle. The time point when the vehicle charging ends can be manually set by the staff, or the time can be determined by referring to the method of steps S200-S203; the vehicle priority coefficient is the coefficient value that reflects the priority of the vehicle when performing charging operations, for example, ordinary users have the lowest priority, VIP users have the highest priority, and so on. The priority level of each vehicle is determined in advance by the management personnel, and the vehicle data is obtained through the smart box to determine the specific vehicle priority coefficient.

[0079] Step S103: Calculate the vehicle basic weight based on the battery power percentage, the remaining charging time, and the vehicle priority coefficient.

[0080] The vehicle basic weight is a parameter that reflects the degree of demand for charging operations for each vehicle. The larger the value, the more it needs to be charged. The calculation formula is:

[0081]

[0082] Where W i is the vehicle basic weight of the i-th vehicle, SOC i is the battery charge percentage of the i-th vehicle, T i is the remaining charging time of the i-th vehicle, U i is the vehicle priority coefficient of the i-th vehicle, α, β, and γ are adjustment coefficients set by the staff according to the actual situation, and it is necessary to ensure that α+β+γ=1.

[0083] Step S104: Calculate and determine the effective allocated power according to the available power of the grid, the basic weight of the vehicle, and the charging demand power, and control each charging pile to operate with the corresponding effective allocated power.

[0084] The effective distributed power is the power allocated to each charging pile to enable the charging pile to operate. The calculation formula is:

[0085]

[0086] Among them, P i is the effective allocated power of the charging pile corresponding to the i-th vehicle, P max is the charging power required by the corresponding charging pile, P grid is the available power of the grid, and n is the number of charging piles required.

[0087] The method also includes a step of obtaining the remaining charging time, which includes:

[0088] Step S200: Obtain user input status.

[0089] The user input status refers to whether the user inputs the time point when charging is to be ended when using the charging pile.

[0090] Step S201: Determine whether the user input state is consistent with a preset valid input state.

[0091] The valid input state is the user input state when the user has input the charging end time point. The purpose of the judgment is to know whether the remaining charging time can be directly determined.

[0092] Step S2011: If the user input state is consistent with the valid input state, the input end time is obtained according to the valid input state, and the remaining charging time is determined according to the input end time and the current time point.

[0093] When the user input status is consistent with the valid input status, it means that the user has input the time point for charging to end. At this time, the input end time is obtained, and the interval between the input end time and the current time point is the remaining charging time for the vehicle to be charged.

[0094] Step S2012: If the user input status is inconsistent with the valid input status, the charging operation account and the user start time period are obtained.

[0095] When the user input status is inconsistent with the valid input status, it means that the time point when the current user needs to end charging cannot be directly known, so further analysis is required; the charging operation account is the user account currently using the charging pile, and the user start time period is the time period when the current user uses the charging pile. In order to facilitate data analysis, the specific time point is not analyzed, only the time period is analyzed, for example, the time period is divided into hours.

[0096] Step S202: constructing a history interval with the current time point as the end point and a width of a preset historical length on a preset time axis, and determining a single start time period and a corresponding single move time period in the history interval according to the charging operation account.

[0097] The time axis is a coordinate axis formed by combining each time point, which is pointed from the time point that has passed to the time point that has not arrived, wherein the time point that has passed is on the left side of the coordinate axis, and the left side of the coordinate axis is defined as the front side of the time axis; the historical length is a length set by the staff to obtain the historical charging data of each user, which is generally the interval length between the time when the charging station is put into use and the current time point, and the historical interval is constructed to facilitate the acquisition and analysis of data in the historical length; the single starting time period is the time period in which the current user charges in the historical interval, which is only distinguished by the time period and does not count the year, month and day, and the single moving time period is the time period when the vehicle corresponding to the current user is disconnected from the charging pile.

[0098] Step S203: analyzing according to each single starting time period, single moving time period and user starting time period to determine the predicted moving time period, and determining the remaining charging length according to the predicted moving time period and the current time point.

[0099] The predicted moving time period is the time period in which the user will end the current charging process after data analysis, and the specific analysis process is referred to steps S300-S3032, and the interval length between the predicted moving time period and the current time point is the remaining charging length.

[0100] The step of analyzing according to each single starting time period, single moving time period and user starting time period to determine the predicted moving time period comprises:

[0101] Step S300: defining the single moving time period corresponding to the single starting time period consistent with the user starting time period as the effective reference time period.

[0102] When the single starting time period is consistent with the user starting time period, it means that the habit of this charging in the historical interval may be similar to the current one, and therefore has reference significance, so as to define it as the effective reference time period to distinguish different single moving time periods and facilitate subsequent analysis.

[0103] Step S301: determining the actual interval length according to the specific time point of the effective reference time period and the current time point, and determining the effective trust value corresponding to the actual interval length according to the preset trust matching relationship.

[0104] The specific time point of the effective reference time period includes the specific time after the year, month and day, the actual interval length is the length value of the interval since the corresponding data is generated, the effective trust value is the parameter value reflecting the reliability of the data, and the smaller the actual interval length is, the more consistent it is with the behavior habit of the current user, and the stronger the reliability of the corresponding data is. The trust matching relationship between them is determined by the staff through multiple tests in advance, and the range is controlled between 0.5-1.5.

[0105] Step S302: Calculate the valid trust values ​​corresponding to different valid reference time periods in each time period to determine the time period reference quantity.

[0106] The reference quantity for a period is the sum of the corresponding valid trust values ​​under the same valid reference period.

[0107] Step S303: Calculate the reference quantity of each time period to determine the time period reference ratio, and determine whether the time period reference ratio is greater than the preset effective habit ratio.

[0108] The time period reference ratio is the ratio of the number of time period references in a single valid reference period to the number of all time period references. The effective habit ratio is the minimum time period reference ratio set by the staff to better reflect the minimum time period reference ratio that needs to be met when a single user has a certain charging habit. The purpose of the judgment is to find out whether the user has a charging habit.

[0109] Step S3031: If there is a situation where the reference period ratio is greater than the effective habit ratio, the corresponding single movement period is defined as the predicted movement period.

[0110] When the reference proportion of a time period is greater than the effective habit proportion, it indicates that the user has a certain charging habit, that is, the user has a high probability of disconnecting the vehicle from the charging pile during a single move period. At this time, the corresponding single move period can be defined as the predicted move period. This method can meet the charging status prediction needs of people going to work every day and improve the accuracy of data analysis.

[0111] Step S3032: If there is no case where the time period reference ratio is greater than the effective habit ratio, a calculation is performed based on the user's starting time period and a preset single fixed duration to determine a predicted movement time period.

[0112] When there is no situation where the reference proportion of time periods is greater than the effective habit proportion, it means that the user does not have a fixed charging habit. At this time, the user's starting time period can be used to extend the single fixed duration backward to determine the predicted moving time period, where the single fixed duration is a fixed duration set by the staff.

[0113] After the effective allocated power is determined, the charging station management method based on the smart box also includes:

[0114] Step S400: Obtain the baseline required power of each vehicle.

[0115] The baseline required power is the most basic charging power that a single vehicle needs to achieve during the charging process. Different vehicles require different baseline required power.

[0116] Step S401: Determine whether all effectively allocated powers are greater than the corresponding reference required powers.

[0117] The purpose of the judgment is to find out whether each charging pile can meet the minimum charging power requirement.

[0118] Step S4011: If all the effectively allocated powers are greater than the corresponding reference required powers, each charging pile is controlled to operate according to the effectively allocated powers.

[0119] When all effective allocated powers are greater than the corresponding benchmark required powers, it means that all charging piles can meet the minimum charging power requirements, and now the operation can be carried out with the set effective allocated power.

[0120] Step S4012: If all the effective allocated powers are not greater than the corresponding reference required powers, the charging piles corresponding to the effective allocated powers not greater than the reference required powers are defined as missing piles, and the remaining charging piles are defined as complete piles.

[0121] When all available allocated powers are not greater than the corresponding baseline required powers, it indicates that some charging piles cannot meet the minimum charging power requirement, and further analysis is needed. Missing piles and complete piles are defined to distinguish different charging piles for subsequent analysis.

[0122] Step S402: performing difference calculation based on each effective allocated power and the reference required power to determine the required difference power, and performing sum calculation based on all required supplementary powers of the missing piles to determine the overall supplementary power.

[0123] The demand difference power is the difference between the effective allocated power of the charging pile and the benchmark demand power. The difference is an absolute value. The overall supplementary power is the power that needs to be called from the perfect pile for the missing pile, which is determined by adding the demand supplementary power of all missing piles.

[0124] Step S403: Calculate the demand adjustment power according to the overall supplementary power, the vehicle basic weight and the demand difference power of each perfect pile, and calculate the adjusted distribution power according to the demand adjustment power and the effective distribution power.

[0125] The required adjustment power is the power value that each perfect pile needs to adjust, and the calculation formula is:

[0126]

[0127] Among them, P out Adjust power to demand, P needis the overall supplementary power, and m is the number of all perfect piles. When the demand-adjusted power of each perfect pile is greater than the demand-difference power of the perfect pile, the demand-adjusted power is marked with the demand-difference power of the perfect pile to reduce the situation where the perfect pile cannot meet the minimum charging requirement after power adjustment. At this time, the insufficient power value of the perfect pile is recalculated by the remaining perfect piles to recalculate the overall supplementary power to update the demand-adjusted power of each pile. The adjusted distribution power required for the perfect pile operation can be obtained by subtracting the corresponding demand-adjusted power from the effective distribution power of the perfect pile.

[0128] Step S404: Control the missing piles to operate at the corresponding reference required power, and control the complete piles to operate at the corresponding adjusted allocated power.

[0129] By controlling each charging pile to operate at the corresponding power, each vehicle can be charged well.

[0130] After each charging pile is in operation, the charging station management method based on the smart box also includes:

[0131] Step S500: constructing a detection interval on the time axis with the time point when the charging pile starts operating as the starting point and the width being the preset detection duration, and obtaining the actual operating power of each charging pile at each time point in the detection interval.

[0132] The detection time is a fixed time set by the staff, such as half an hour. The detection interval is constructed to facilitate the acquisition and analysis of data during the detection time; the actual operating power is the charging power of the charging pile during actual operation.

[0133] Step S501: The operating power of each charging pile is defined as the theoretical operating power, and the power disturbance power is determined by calculation based on the actual operating power and the theoretical operating power.

[0134] The theoretical operating power refers to the output power of the charging pile set under theoretical conditions, that is, the baseline required power of the missing pile when there is a missing pile, the adjusted allocated power of the complete pile, and the effective allocated power when there is no missing pile; the power disturbance power is the deviation power caused by the power disturbance, which is determined by calculating the difference between the actual operating power and the theoretical operating power.

[0135] Step S502: performing summation calculation based on the power disturbance power at the same time point to determine the overall disturbance power.

[0136] The overall disturbance power is the power disturbance power borne by the power grid at the same time point, which is determined by adding up all the power disturbance powers at the same time point.

[0137] Step S503: performing calculations based on the overall power of the grid and the available power of the grid to determine the anti-disturbance power.

[0138] The anti-disturbance power is the power value reserved by the power grid for anti-disturbance, which is determined by subtracting the available power of the power grid from the overall power of the power grid.

[0139] Step S504: determining the overall disturbance power with the largest value according to a preset sorting rule, and performing calculation based on the overall disturbance power and the anti-disturbance power to determine the effective disturbance ratio.

[0140] Sorting rules are methods set by staff to sort numerical values, such as the bubble method. The sorting rules can be used to determine the overall disturbance power with the largest value, that is, the maximum disturbance that will occur in the power grid under the current circumstances. At this time, by dividing the overall disturbance power with the largest value by the anti-disturbance power, the effective proportion of disturbance that reflects the use of reserved power can be obtained, so that managers can know the specific usage of the current power grid.

[0141] After the effective disturbance ratio is determined, the charging station management method based on the smart box also includes:

[0142] Step S600: determining the permitted release power according to the anti-disturbance power and the effective disturbance ratio.

[0143] The permitted release power is the power value at which the reserved power can be released for use by the charging pile. It is obtained by subtracting the maximum overall disturbance power from the anti-disturbance power and multiplying it by a set multiple. The multiple is set to be less than 1, generally between 0.7 and 0.9.

[0144] Step S601: performing a sum calculation based on the permitted released power and the grid available power to update the grid available power.

[0145] By adding the permitted released power and the available power of the grid, the available power of the grid can be updated, so that more electricity can serve the charging piles while ensuring the security of the grid.

[0146] Step S602: recalculating the theoretical operating power of each charging pile after the available power of the grid is updated, and performing operation control on each charging pile according to the theoretical operating power.

[0147] By recalculating the theoretical operating power of each charging pile, the operation of each charging pile can be updated and controlled, so that each charging pile can operate better.

[0148] Reference Figure 2 Based on the same inventive concept, an embodiment of the present invention provides a charging station management system based on a smart box, comprising:

[0149] The acquisition module is used to obtain the overall power of the power grid and the current charging power demand of each charging pile;

[0150] A processing module, connected to the acquisition module and the judgment module, for storing and processing information;

[0151] The judgment module is connected with the acquisition module and the processing module and is used for judging the information;

[0152] The processing module calculates the overall required power based on the power requirements of each charging unit, and calculates the available power of the grid based on the overall power of the grid and a preset anti-disturbance coefficient;

[0153] The judgment module judges whether the overall required power is greater than the available power of the power grid;

[0154] If the judgment module determines that the overall required power is not greater than the available power of the grid, the processing module controls each charging pile to operate at the corresponding required charging power;

[0155] If the judgment module determines that the overall required power is greater than the available power of the grid, the acquisition module obtains the battery power percentage, remaining charging time and vehicle priority coefficient of each vehicle based on each charging pile;

[0156] The processing module calculates the vehicle base weight based on the battery power percentage, the remaining charging time, and the vehicle priority coefficient;

[0157] The processing module calculates the effective allocated power based on the available power of the grid, the basic weight of the vehicle, and the charging demand power, and controls each charging pile to operate with the corresponding effective allocated power;

[0158] A remaining charging time determination module is used to determine and obtain the remaining charging time of the vehicle;

[0159] A module for determining a predicted movement period, used to determine the predicted movement period more accurately;

[0160] A baseline demand determination module, configured to determine the baseline charging demand of each vehicle;

[0161] Power disturbance analysis module, used to analyze and process power disturbance after charging pile operation;

[0162] The power release module is used to release excess power.

[0163] Those skilled in the art will clearly understand that for the sake of convenience and brevity, the division of the above-mentioned functional modules is only used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working processes of the above-mentioned systems, devices, and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0164] An embodiment of the present invention provides a computer-readable storage medium storing a computer program that can be loaded and executed by a processor for a charging station management method based on a smart box.

[0165] Computer storage media include, for example, various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

Claims

1. A charging station management method based on a smart box, characterized in that: include: Obtain the overall power of the power grid and the current charging power demand of each charging pile; Calculate the overall power demand based on the power requirements of each charging station, and calculate the available power of the grid based on the overall power of the grid and the preset anti-disturbance coefficient; Determine whether the overall required power is greater than the available power of the grid; If the overall required power is not greater than the available power of the grid, each charging pile is controlled to operate at the corresponding required charging power; If the overall power demand is greater than the available power of the grid, the battery power percentage, remaining charging time, and vehicle priority coefficient of each vehicle are obtained based on each charging pile; The vehicle base weight is determined by calculating the battery power percentage, the remaining charging time, and the vehicle priority factor; Calculate the effective power allocation based on the available power of the grid, the basic weight of the vehicle, and the charging demand power, and control each charging pile to operate with the corresponding effective power allocation; The method also includes a step of obtaining the remaining charging time, which includes: Get user input status; Determine whether the user input state is consistent with the preset valid input state; If the user input status is consistent with the valid input status, the input end time is obtained according to the valid input status, and the remaining charging time is determined according to the input end time and the current time point; If the user input status is inconsistent with the valid input status, the charging operation account and the user start time period are obtained; Constructing a historical interval with the current time point as the end point and a width of a preset historical length on a preset time axis, and determining a single starting time period and a corresponding single moving time period based on the charging operation account in the historical interval; An analysis is performed based on each single start period, single move period, and user start period to determine a predicted move period, and the remaining charging time is determined based on the predicted move period and the current time point.

2. The charging station management method based on the smart box according to claim 1 is characterized in that: The steps of analyzing each single start time period, each single move time period, and the user start time period to determine the predicted move time period include: The single movement period corresponding to the single start period that is consistent with the user's start period is defined as a valid reference period; Determine the actual time interval based on the specific time point of the valid reference period and the current time point, and determine the effective trust value corresponding to the actual time interval based on the preset trust matching relationship; Calculate the effective trust value corresponding to the different effective reference periods in each period to determine the reference quantity of the period; Calculate the reference quantity of each time period to determine the reference ratio of the time period, and determine whether the reference ratio of the time period is greater than the preset effective habit ratio; If the reference ratio of a time period is greater than the effective habit ratio, the corresponding single movement period is defined as the predicted movement period; If there is no case where the time period reference ratio is greater than the effective habit ratio, the predicted movement period is determined based on the user's starting time period and the preset single fixed duration.

3. The charging station management method based on the smart box according to claim 1 is characterized in that: After the effective allocated power is determined, the charging station management method based on the smart box also includes: Obtaining the baseline required power of each vehicle; Determine whether all effectively allocated powers are greater than the corresponding reference required powers; If all the effective allocated powers are greater than the corresponding benchmark required powers, each charging pile is controlled to operate according to the effective allocated power; If all the effective allocated powers are not greater than the corresponding reference required powers, the charging piles corresponding to the effective allocated powers not greater than the reference required powers are defined as missing piles, and the remaining charging piles are defined as complete piles; The difference between each effective allocated power and the benchmark required power is calculated to determine the required difference power, and the total supplementary power is determined by summing up all the required supplementary powers of the missing piles; The demand adjustment power is determined based on the overall supplementary power, the vehicle basic weight and the demand difference power of each perfect pile, and the adjusted allocation power is determined based on the demand adjustment power and the effective allocation power; The missing piles are controlled to operate at the corresponding benchmark required power, and the complete piles are controlled to operate at the corresponding adjusted allocated power.

4. The charging station management method based on the smart box according to claim 3 is characterized in that: After each charging pile is in operation, the charging station management method based on the smart box also includes: On the time axis, a detection interval is constructed with the time when the charging pile starts operating as the starting point and the width as the preset detection duration, and the actual operating power of each charging pile is obtained at each time point in the detection interval; The power of each charging pile is defined as the theoretical operating power, and the power disturbance power is determined by calculation based on the actual operating power and the theoretical operating power; The overall disturbance power is determined by summing up the power disturbance powers at the same time point; Calculate the anti-disturbance power based on the overall power of the grid and the available power of the grid; The overall disturbance power with the largest value is determined according to a preset sorting rule, and the effective disturbance ratio is determined by calculation based on the overall disturbance power and the anti-disturbance power.

5. The charging station management method based on the smart box according to claim 4 is characterized in that: After the effective disturbance ratio is determined, the charging station management method based on the smart box also includes: The permitted release power is determined based on the anti-disturbance power and the effective proportion of disturbance; Performing a sum calculation based on the permitted released power and the grid available power to update the grid available power; After the available power of the power grid is updated, the theoretical operating power of each charging pile is recalculated, and the operation of each charging pile is controlled according to the theoretical operating power.

6. A charging station management system based on a smart box, used to execute the charging station management method based on a smart box according to any one of claims 1 to 5, characterized in that: include: The acquisition module is used to obtain the overall power of the power grid and the current charging power demand of each charging pile; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; The judgment module is connected with the acquisition module and the processing module and is used for judging the information; The processing module calculates the overall required power based on the power requirements of each charging unit, and calculates the available power of the grid based on the overall power of the grid and a preset anti-disturbance coefficient; The judgment module judges whether the overall required power is greater than the available power of the power grid; If the judgment module determines that the overall required power is not greater than the available power of the grid, the processing module controls each charging pile to operate at the corresponding required charging power; If the judgment module determines that the overall required power is greater than the available power of the grid, the acquisition module obtains the battery power percentage, remaining charging time and vehicle priority coefficient of each vehicle based on each charging pile; The processing module calculates the vehicle base weight based on the battery power percentage, the remaining charging time, and the vehicle priority coefficient; The processing module calculates the effective allocated power based on the available power of the grid, the basic weight of the vehicle and the charging demand power, and controls each charging pile to operate with the corresponding effective allocated power.

7. A computer-readable storage medium, characterized in that The device stores a computer program that can be loaded by a processor and execute the charging station management method based on the smart box according to any one of claims 1 to 5.

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