Digital micro-grid mobile battery swap station charging and swapping data control system and method

Abstract

The application discloses a kind of digital micro-grid mobile battery swap station charge-discharge data control system and method, it is related to micro-grid technical field, and the present method includes the following steps: step 1, for battery label, collect the available power of each battery and charge-discharge rate;Step 2, collect the power required for operation, detect whether there is power grid power supply;Step 3, when there is no power grid power supply, mobile battery swap station uses independent power supply mode, judges whether the available power meets the power demand of battery swap vehicle;Step 4, when the available power meets the power demand of battery swap vehicle, formulate charge-discharge strategy;When the available power does not meet the power demand of battery swap vehicle, formulate charge-discharge strategy and feedback information;Step 5, in power grid power supply mode, formulate corresponding battery swap strategy according to different situations.The present method can effectively improve the situation that existing technology is difficult to quickly and reasonably adjust strategy according to actual power supply condition.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of micro-grid, in particular to a digital micro-grid mobile battery swap station charging and swapping data control system and method. BACKGROUND

[0002] With the rapid development of new energy vehicles, the construction of charging and swapping infrastructure has become critical. Mobile battery swap stations, as a flexible charging and swapping solution, are gradually gaining attention. In this field, battery management technology is one of the cores, through the monitoring and management of battery capacity, charging and discharging rate and other parameters, to ensure the safe and efficient use of batteries. Internet of Things technology realizes data interaction between devices. In addition, power system technology ensures the stable operation of mobile battery swap stations under different power supply modes, and data analysis and prediction technology provides data support for the formulation of charging and swapping strategies.

[0003] In the existing mobile battery swap station charging and swapping technology, there are many problems to be solved. First, the battery management is not accurate enough, and the charging and swapping strategy lacks flexibility and intelligence. In the independent power supply and grid power supply modes, it is difficult to quickly and reasonably adjust the strategy according to the actual situation, and it is difficult to achieve the optimal allocation of resources and the shortest charging time. In addition, in the face of insufficient power, the existing technology cannot effectively balance the relationship between meeting the needs of battery swap vehicles and completing charging in the shortest time. SUMMARY

[0004] The purpose of the present application is to provide a digital micro-grid mobile battery swap station charging and swapping data control system and method to solve the problems in the prior art.

[0005] To achieve the above purpose, the present application provides the following technical scheme: a digital micro-grid mobile battery swap station charging and swapping data control method, the method comprising the following steps:

[0006] Step 1, label the battery, collect the available power of each battery and the charging and discharging rate;

[0007] Step 2, collect the required power for the job, and detect whether there is grid power supply;

[0008] Step 3, when there is no grid power supply, the mobile battery swap station adopts independent power supply mode, and judges whether the available power meets the power demand of the battery swap vehicle;

[0009] Step 4, when the available power meets the power demand of the battery swap vehicle, a charging and swapping strategy is formulated; when the available power does not meet the power demand of the battery swap vehicle, a charging and swapping strategy is formulated and feedback information is fed back;

[0010] Step 5, in the grid power supply mode, different swapping strategies are formulated according to different situations.

[0011] In step 1, each battery of the mobile battery swap station is assigned a unique identifier using RFID tag technology; a high-precision power sensor is integrated inside the battery to collect real-time battery remaining power data; the battery charging and discharging rate is obtained from the battery product specification; the available power refers to the battery remaining power minus the dead zone power that the battery cannot release due to its own factors; the dead zone power is represented by the battery remaining power at the last time when the battery cannot discharge;

[0012] The collected battery data is stored in the form of [battery identifier, available power, charging rate, discharging rate].

[0013] In step 2, after arriving at the battery swap area, the mobile battery swap station establishes a connection with the battery swap vehicle on-board terminal through license plate recognition or vehicle identity recognition; the number of battery swap vehicles, the required charging power of the battery swap vehicles, and the charging rate of the battery swap vehicles are obtained;

[0014] The collected battery swap vehicle data is stored in the form of [vehicle, required power, charging rate];

[0015] By locating the position of the battery swap area, in combination with the power grid system, it is determined whether the battery swap area is within the power grid power supply range, and further whether there is power grid power supply.

[0016] In step 3, when the battery swap area is not within the power grid power supply range, the mobile battery swap station uses independent power supply mode;

[0017] Extract the running data in the independent power supply mode in the recent period of time from the historical data; the data includes the running time of each independent power supply operation, the total power consumption during the operation, the total available power of the mobile battery swap station battery, the average output power of the mobile battery swap station battery, the number of battery swap vehicles, the average charging rate of the battery swap vehicles, and the total required power of the battery swap vehicles;

[0018] Calculate the required power of the mobile battery swap station operation per unit time;

[0019] Build a regression model with the running time as the dependent variable and the total available power of the mobile battery swap station battery, the average output power of the mobile battery swap station battery, the number of battery swap vehicles, the average charging rate of the battery swap vehicles, and the total required power of the battery swap vehicles as independent variables;

[0020] According to the regression model, predict the running time of the mobile battery swap station based on the collected battery data and battery swap vehicle data;

[0021] According to the required power of the mobile battery swap station operation per unit time and the predicted running time of the mobile battery swap station, obtain the estimated required power;

[0022] Select all the batteries from the battery group whose available power is greater than the estimated power required for running, and select the battery with the lowest power as the power source required for running in the independent power supply mode.

[0023] In step 4, calculate the total available power of all the batteries and the total power required for the battery swap vehicle, and consider that the available power meets the power demand of the battery swap vehicle when the total available power of all the batteries minus the power of the power source required for running in the independent power supply mode is not less than the total power required for the battery swap vehicle;

[0024] Establish a battery vehicle matching model: remove the batteries used for moving the battery swap station, and establish a matching relationship matrix for each battery and each battery swap vehicle; the element t ij in the matrix represents the time required for the i-th battery to charge the j-th battery swap vehicle; the discharge rate of the battery i is represented as v i , the charging rate of the battery swap vehicle j is represented as v j , and the actual charging rate v ij =min(v i ,v j ); according to the available power q i of the battery and the charging demand power q j of the vehicle, the charging time t ij =min(q i ,q j ) / v ij ; wherein i is a positive integer representing the battery sequence; j is a positive integer representing the battery swap vehicle sequence;

[0025] The objective is to make the overall charging time the shortest, and the objective function F is defined as: wherein x ij represents the decision variable, indicating whether the i-th battery is charged for the j-th battery swap vehicle; x ij =1 means yes, and x ij =0 means no;

[0026] Constraint conditions are set: power constraint: after each battery is allocated to a vehicle for charging, if there is remaining power, the remaining power is not negative; vehicle charging power constraint: the charging power obtained by each vehicle is less than or equal to its demand power; charging starts at the beginning and ends when the required power of the battery swap vehicle is reached or the battery power is exhausted without reaching the required power; decision variable constraint: x ij takes 0 or 1; battery use constraint: each battery is charged for only one battery swap vehicle at the same time;

[0027] The classical integer programming solution methods such as branch and bound method and cut plane method can be used to find the x ijvalue combination; when the battery swap vehicle charging is completed, the remaining battery power is calculated; for the battery swap vehicles that do not reach the required power, the required power is recalculated, and the matching model is re-established to update the matching relationship matrix; the iteration is stopped when all the battery swap vehicles reach the required power; the goal of the shortest charging time is achieved;

[0028] When the total available battery power minus the power required by the power supply running in the independent power supply mode is less than the total power required by the battery swap vehicles, it is considered that the available power does not meet the power demand of the battery swap vehicles; the power shortage information is fed back to the mobile battery swap station; at the same time, the battery swap vehicles are sorted in descending order according to the power required by different battery swap vehicles, and the total power required by the battery swap vehicles is gradually reduced by the power required by the highest ranked battery swap vehicle until the result is less than or equal to the total available battery power; a battery vehicle matching model is established for the battery swap vehicles that are not subtracted, so that the power demand of the most battery swap vehicles is met in the shortest time.

[0029] In step 5, when the location of the battery swap area is within the power supply range of the power grid, the mobile battery swap station uses the power grid power supply mode; in the power grid power supply mode, the power grid directly supports the operation of the mobile battery swap station;

[0030] When the total available battery power is not less than the total power required by the battery swap vehicles, it is considered that the available power meets the power demand of the battery swap vehicles; a battery vehicle matching model is established for all the batteries and battery swap vehicles, and the battery swap task is completed according to the matching result;

[0031] When the total available battery power is less than the total power required by the battery swap vehicles, it is considered that the available power does not meet the power demand of the battery swap vehicles; the power gap is obtained by subtracting the total available battery power from the total power required by the battery swap vehicles;

[0032] The discharge rate of the power grid is obtained from the power grid system; in combination with the discharge rate of the power grid, the number of chargeable batteries of the mobile battery swap station, and the battery charging rate, the charging battery group is selected: from the batteries, the batteries with a charging rate greater than or equal to the discharge rate of the power grid are selected, and the battery group with the lowest available power and equivalent to the number of chargeable batteries of the mobile battery swap station is selected as the charging battery group; for the remaining batteries and battery swap vehicles, a battery vehicle matching model is constructed to minimize the task time for charging and battery swap tasks;

[0033] When the charging battery group has a battery charged to the maximum available power, and the total charging capacity of the battery group is less than the power gap, the charging and battery swap task is ended, the charging battery group is reselected from the batteries with a charging rate greater than or equal to the discharge rate of the power grid, the battery group with the lowest available power and equivalent to the number of chargeable batteries of the mobile battery swap station is selected, and the remaining batteries with available power not equal to 0 and the battery swap vehicles with power demand not equal to 0 are constructed into a battery vehicle matching model to minimize the task time for charging and battery swap tasks; until the total charging capacity of the charging battery group is greater than or equal to the power gap;

[0034] When the total charging capacity of the charging battery pack is greater than or equal to the power gap, the charging is stopped, and a battery vehicle matching model is re-established for all available batteries with a power of 0 and the battery swap vehicle with a power demand of 0 according to the battery discharge condition and the battery swap vehicle charging condition, and the charging and battery swap task is performed to minimize the task time.

[0035] A digital micro-grid mobile battery swap station charging and swapping data control system, the system comprising a data acquisition and processing module, an independent power supply mode module and a power grid power supply mode module;

[0036] The data acquisition and processing module is used to acquire and record the battery information, the battery swap vehicle information, the power grid information and the power supply mode according to the power grid information; the independent power supply mode module is used to formulate a corresponding charging and swapping task strategy when the mobile battery swap station is in an independent power supply mode; and the power grid power supply mode module is used to formulate a corresponding charging and swapping task strategy when the mobile battery swap station is in a power grid power supply mode.

[0037] The data acquisition and processing module comprises a battery information acquisition unit, a battery swap vehicle information acquisition unit, a power grid information acquisition unit and a power supply mode judgment unit.

[0038] The battery information acquisition unit is used to acquire and store the battery identification, the power, and the charging and discharging rate of the mobile battery swap station; the battery swap vehicle information acquisition unit is used to acquire and record the number of battery swap vehicles, the power demand and the charging rate; the power grid information acquisition unit is used to acquire the power grid discharging rate and the location information; and the power supply mode judgment unit is used to determine the working mode of the mobile battery swap station according to the location information.

[0039] The independent power supply mode module comprises a regression model unit, a first power judgment unit, a first strategy formulation unit and a second strategy formulation unit.

[0040] The regression model unit is used to construct a regression model to predict the independent power supply task duration to determine the required batteries for the operation of the mobile power supply station; the first power judgment unit is used to determine whether the battery power, excluding the power required for operation, under the independent power supply mode, meets the power demand of the battery swap vehicle; the first strategy formulation unit is used to formulate a charging and swapping task strategy when the power meets the power demand; and the second strategy formulation unit is used to formulate a charging and swapping task strategy when the power does not meet the power demand.

[0041] The power grid power supply mode module comprises a second power judgment unit, a third strategy formulation unit and a fourth strategy formulation unit.

[0042] The second power judgment unit is used to judge whether the total available power of the battery in the grid power supply mode meets the power demand of the battery swapping vehicle; the third strategy formulation unit is used to formulate a charging and swapping task strategy when the power supply meets the power demand; the fourth strategy formulation unit is used to formulate a charging and swapping task strategy when the power supply does not meet the power demand.

[0043] Compared with the existing technology, the beneficial effects of the present invention are: the present invention can flexibly switch the power supply mode of the mobile battery swap station according to whether there is power grid power supply; the present invention establishes a battery-vehicle matching model with the goal of minimizing the overall charging time, and sets multiple constraints, and uses methods such as branch and bound method to solve it, which can achieve optimal allocation of resources, improve charging and swapping efficiency, and reduce user waiting time; the present invention collects data from multiple aspects of batteries and battery swapping vehicles, and conducts comprehensive analysis and processing, providing a rich and accurate information basis for charging and swapping data control, which helps to improve the intelligence level and operating performance of the entire mobile battery swap station system, and can better cope with complex charging and swapping scenarios compared with the control method with a single data source. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Fig. 1 This is a schematic diagram of the steps of a digital microgrid mobile battery swapping station charging and swapping data control method of the present invention;

[0045] Fig. 2 The figure is a flow chart of a charging and battery swapping data control system for a digital microgrid mobile battery swapping station according to the present invention. DETAILED DESCRIPTION

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0047] Example: Figs. 1-2 As shown, the present invention provides a technical solution, a digital microgrid mobile battery swapping station charging and swapping data control method, the method comprising the following steps:

[0048] Step 1: Label the batteries and collect the available power and charge and discharge rates of each battery;

[0049] Step 2: Collect the power required for the operation and check whether there is power supply from the grid;

[0050] Step 3: When there is no power supply from the grid, the mobile battery swap station uses an independent power supply mode to determine whether the available power can meet the power demand of the battery swap vehicle;

[0051] Step 4, when the available power meets the power demand of the battery swap vehicle, develop a charging and battery swap strategy; when the available power does not meet the power demand of the battery swap vehicle, develop a charging and battery swap strategy and feedback information;

[0052] Step 5, in the power grid power supply mode, develop a corresponding battery swap strategy according to different situations.

[0053] In step 1, use RFID tag technology to assign a unique identifier to each battery of the mobile battery swap station; integrate a high-precision power sensor inside the battery to collect real-time battery remaining power data; the battery charging and discharging rate is obtained from the battery product specification; the available power refers to the battery remaining power minus the dead zone power that cannot be released due to the battery's own factors; the dead zone power is represented by the remaining power when the battery cannot discharge last time;

[0054] Store the collected battery data in the form of [battery identifier, available power, charging rate, discharging rate].

[0055] In step 2, after arriving at the battery swap area, the mobile battery swap station establishes a connection with the battery swap vehicle on-board terminal through license plate recognition or vehicle identity recognition; obtains the number of battery swap vehicles, the required charging power of the battery swap vehicles, and the charging rate of the battery swap vehicles;

[0056] Store the collected battery swap vehicle data in the form of [vehicle, required power, charging rate];

[0057] By locating the position of the battery swap area, combined with the power grid system, determine whether the battery swap area is within the power grid power supply range, and further determine whether there is power grid power supply.

[0058] In step 3, when the battery swap area is not within the power grid power supply range, the mobile battery swap station uses independent power supply mode;

[0059] Extract the running data in the independent power supply mode in the recent period of historical data; the data includes the running time of each independent power supply operation, the total power consumption during operation, the total available power of the mobile battery swap station, the average output power of the mobile battery swap station, the number of battery swap vehicles, the average charging rate of the battery swap vehicles, and the total required power of the battery swap vehicles;

[0060] Calculate the required power of the mobile battery swap station per unit time;

[0061] Build a regression model with the running time as the dependent variable and the total available power of the mobile battery swap station, the average output power of the mobile battery swap station, the number of battery swap vehicles, the average charging rate of the battery swap vehicles, and the total required power of the battery swap vehicles as independent variables.

[0062] According to the regression model, the running time of the mobile battery swap station is predicted based on the collected battery data and the battery swap vehicle data;

[0063] According to the power required for the mobile battery swap station to run in a unit time and the predicted running time of the mobile battery swap station, the estimated power required for running is obtained;

[0064] All batteries with available power greater than the estimated power required for running are selected from the batteries, and the battery with the lowest power is selected again as the power required for running in the independent power supply mode.

[0065] In step 4, the total available power of all batteries and the total power required for the battery swap vehicle are calculated. When the total available power of the batteries minus the power of the power required for running in the independent power supply mode is not less than the total power required for the battery swap vehicle, it is considered that the available power meets the power demand of the battery swap vehicle;

[0066] A battery vehicle matching model is established: excluding the batteries used for the mobile battery swap station, a matching relationship matrix is established for each battery and each battery swap vehicle; The element t ij in the matrix represents the time required for the i-th battery to charge the j-th battery swap vehicle; The discharge rate of battery i is represented as v i , the charging rate of battery swap vehicle j is represented as v j , the actual charging rate v ij =min(v i ,v j ); According to the available power q i of the battery and the charging demand power q j of the vehicle, the charging time t ij =min(q i ,q j ) / v ij ; Wherein, i is a positive integer, representing the battery sequence; j is a positive integer, representing the battery swap vehicle sequence;

[0067] The goal is to make the overall charging time the shortest, and the objective function F is defined as: Wherein, x ij represents the decision variable, indicating whether the i-th battery is charged for the j-th battery swap vehicle; x ij =1 means yes, x ij =0 means no;

[0068] Constraint condition setting: power constraint: after each battery is allocated to the vehicle for charging, if there is remaining power, the remaining power is not negative; Vehicle charging capacity constraint: the charging capacity of each vehicle is less than or equal to its demand power; The charging starts until the battery swap vehicle required power is reached or the battery power is exhausted without reaching the required power; Decision variable constraint: x ijTake 0 or 1; battery usage constraints: each battery only charges one battery swap vehicle at the same time;

[0069] The classical integer programming solution method such as branch and bound method, cut plane method, etc. can be used to find the x that minimizes the objective function F ij The value combination of x; when the battery swap vehicle charging is completed, the remaining battery capacity is calculated; for the battery swap vehicle that does not reach the demand capacity, the demand capacity is recalculated, and the matching model is re-established to update the matching relationship matrix; when all battery swap vehicles reach the demand capacity, the iteration is stopped; the goal of the shortest charging time is achieved;

[0070] When the total available battery capacity minus the power required for running in independent power supply mode is less than the total required capacity of the battery swap vehicle, it is considered that the available capacity does not meet the power demand of the battery swap vehicle; feedback the insufficient power information to the mobile battery swap station; at the same time, according to the required capacity of different battery swap vehicles from large to small, the total required capacity of the battery swap vehicle is gradually reduced by the required capacity of the highest ranked battery swap vehicle, until the result is less than or equal to the total available battery capacity; for the battery swap vehicle that is not subtracted, a battery vehicle matching model is established, so that the most battery swap vehicle power demand is met in the shortest time.

[0071] In step 5, when the location of the battery swap area is within the power grid power supply range, the mobile battery swap station uses the power grid power supply mode; in the power grid power supply mode, the power grid directly supports the operation of the mobile battery swap station;

[0072] When the total available battery capacity is not less than the total required capacity of the battery swap vehicle, it is considered that the available capacity meets the power demand of the battery swap vehicle; a battery vehicle matching model is established for all batteries and battery swap vehicles, and the battery swap task is completed according to the matching result;

[0073] When the total available battery capacity is less than the total required capacity of the battery swap vehicle, it is considered that the available capacity does not meet the power demand of the battery swap vehicle; according to the total required capacity of the battery swap vehicle minus the total available battery capacity, the power gap is obtained;

[0074] Get the discharge rate of the power grid from the power grid system; combined with the discharge rate of the power grid, the number of chargeable mobile battery swap stations, and the battery charging rate, select the charging battery group: select the battery with a charging rate greater than or equal to the discharge rate of the power grid from the battery, and select the battery group with the lowest available capacity and equivalent to the number of chargeable mobile battery swap stations as the charging battery group; for the remaining batteries and battery swap vehicles, construct a battery vehicle matching model to minimize the task time for charging and battery swap tasks;

[0075] When the total charging capacity of the charging battery pack is greater than or equal to the power gap, the charging is stopped, and a battery vehicle matching model is constructed again for all the batteries with available power not being 0 and the power exchange vehicles with power demand not being 0 according to the battery discharge condition and the charging condition of the power exchange vehicle, and the charging and discharging task is performed with minimized task time.

[0076] When the total charging capacity of the charging battery pack is greater than or equal to the power gap, the charging is stopped, and a battery vehicle matching model is constructed again for all the batteries with available power not being 0 and the power exchange vehicles with power demand not being 0 according to the battery discharge condition and the charging condition of the power exchange vehicle, and the charging and discharging task is performed with minimized task time.

[0077] A digital micro-grid mobile battery swap station charging and discharging data control system, the system comprises a data acquisition and processing module, an independent power supply mode module and a power grid power supply mode module;

[0078] The data acquisition and processing module is used for acquiring and recording the battery information of the mobile battery swap station, the information of the power exchange vehicle, the power grid information and determining the power supply mode according to the power grid information; the independent power supply mode module is used for formulating a corresponding charging and discharging task strategy when the mobile battery swap station is in the independent power supply mode; and the power grid power supply mode module is used for formulating a corresponding charging and discharging task strategy when the mobile battery swap station is in the power grid power supply mode.

[0079] The data acquisition and processing module comprises a battery information acquisition unit, a power exchange vehicle information acquisition unit, a power grid information acquisition unit and a power supply mode determination unit;

[0080] The battery information acquisition unit is used for acquiring and storing the battery identification, power and charging and discharging rate of the mobile battery swap station; the power exchange vehicle information acquisition unit is used for acquiring and recording the number of power exchange vehicles, power demand and charging rate; the power grid information acquisition unit is used for acquiring the power grid discharge rate and position information; and the power supply mode determination unit is used for determining the working mode of the mobile battery swap station according to the position information to determine whether there is power grid power supply.

[0081] The independent power supply mode module comprises a regression model unit, a first power determination unit, a first strategy formulation unit and a second strategy formulation unit;

[0082] The regression model unit is configured to construct a regression model to predict the duration of the independent power supply task to determine the required battery for the operation of the mobile power supply station; the first power determination unit is configured to determine whether the battery power, excluding the power required for operation, in the independent power supply mode meets the power demand of the battery swap vehicle; the first strategy formulation unit is configured to formulate a charging and battery swap task strategy when the power meets the power demand; and the second strategy formulation unit is configured to formulate a charging and battery swap task strategy when the power does not meet the power demand.

[0083] The grid power supply mode module includes a second power determination unit, a third strategy formulation unit, and a fourth strategy formulation unit.

[0084] The second power determination unit is configured to determine whether the total available battery power in the grid power supply mode meets the power demand of the battery swap vehicle; the third strategy formulation unit is configured to formulate a charging and battery swap task strategy when the power meets the power demand; and the fourth strategy formulation unit is configured to formulate a charging and battery swap task strategy when the power does not meet the power demand.

[0085] In this embodiment, there is a digital micro-grid mobile battery swap station located in a temporary activity site in the suburbs, and the regional power grid coverage is unstable, often relying on the independent power supply mode of the mobile battery swap station;

[0086] Step 1: Battery data collection

[0087] There are a total of 5 batteries in the mobile battery swap station, and each battery is assigned a unique identifier using RFID tag technology; a high-precision power sensor is integrated inside the battery to collect real-time battery remaining power data; the charging and discharging rates are obtained through the battery product specification, and the dead zone power of the battery caused by its own factors can be ignored; [battery identifier, available power, charging rate, discharging rate]: [B001, 50, 8, 10], [B002, 45, 7, 9], [B003, 40, 6, 8], [B004, 35, 5, 7], [B005, 30, 4, 6];

[0088] Step 2: Battery swap vehicle and grid information collection

[0089] There are 3 battery swap vehicles arriving at the battery swap area; the mobile battery swap station establishes a connection with the vehicle on-board terminal through license plate recognition and obtains the following information: [vehicle, required power, charging rate]: [V001, 20, 5], [V002, 30, 6], [V003, 25, 7];

[0090] By positioning the location of the battery swap area, combined with the grid system, it is determined that there is no grid power supply in the area at present;

[0091] Step 3: Power selection in independent power supply mode

[0092] The mobile battery swap station uses an independent power supply mode; extract the operation data of the independent power supply mode in the last week in the historical data, and the data is as follows:

[0093] [running time, total power consumption during operation, total available power of mobile battery swap station battery, average output power of mobile battery swap station battery, number of battery swap vehicles, average charging rate of battery swap vehicles, total required power of battery swap vehicles]: [5, 10, 200, 2, 2, 5, 25], [4, 8, 180, 2, 1, 6, 15], [6, 12, 220, 2, 3, 4, 30];

[0094] Calculate the required power of the mobile battery swap station in unit time, for the first data, unit time required power = 10 ÷ 5 = 2, similarly calculate other data, take the average value to get the required power of the mobile battery swap station in unit time is about 2;

[0095] Take the running time as the dependent variable y, and the total available power of the mobile battery swap station battery x1, the average output power of the mobile battery swap station battery x2, the number of battery swap vehicles x3, the average charging rate of the battery swap vehicles x4 and the total required power of the battery swap vehicles x5 as the independent variables, and construct a regression model; use the least squares method to fit the above historical data to obtain the regression model;

[0096] Combine the collected battery data and battery swap vehicle data, and substitute the current x1-x5 values into the regression model to predict the running time of the mobile battery swap station, and the predicted running time is 8; according to the required power of the mobile battery swap station in unit time 2 and the predicted running time 8, the estimated required power is 2x8 = 16;

[0097] Select all batteries with available power greater than 16 from the battery, i.e. B001, B002, B003, B004, B005, and again select the battery with the lowest power B005 (available power 30) as the required power source for the independent power supply mode;

[0098] Step 4: charging and battery swap strategy in independent power supply mode;

[0099] Calculate the total available power of all batteries as 50+45+40+35+30=200, and the total required power of the battery swap vehicles as 20+30+25=75; the total available power of the battery minus the power of the battery B005 (200-30=170) is greater than the total required power of the battery swap vehicles, and it is considered that the available power meets the power demand of the battery swap vehicles;

[0100] Establish a battery vehicle matching model: remove the battery B005, and establish a matching relationship matrix for each battery and each battery swap vehicle;

[0101] For battery B001 and vehicle V001, v001=10, v001=5, v001,001=5, q001=20, t001,001=20÷5=4;

[0102] For battery B001 and vehicle V002, v001=10, v002=6, v001,002=6, q002=30, t001,002=30÷6=5;

[0103] For battery B001 and vehicle V003, v001=10, v003=7, v001,003=7, q003=25, t001,003=25÷7≈3.57;

[0104] The goal is to make the overall charging time shortest;

[0105] Constraint setting:

[0106] Electricity constraint: after each battery is allocated to charge a vehicle, if there is still remaining electricity, the remaining electricity should not be negative;

[0107] Vehicle charging capacity constraint: the charging capacity obtained by each vehicle is less than or equal to its demand capacity; charging starts at the beginning and ends when the required capacity of the battery swap vehicle is reached or when the battery capacity is exhausted without reaching the required capacity;

[0108] Decision variable constraint: xij takes 0 or 1;

[0109] Battery usage constraint: each battery can only charge one battery swap vehicle at the same time;

[0110] Use integer programming solution method (such as branch and bound method) to find the value combination of xij that makes the objective function minimum; the specific solving process is as follows: first, without considering the integer constraint, relax the problem into a linear programming problem, and use the simplex method to solve and get a non-integer solution; based on the non-integer solution, select a non-integer variable for branching, for example, x001,001 takes 0.5, and respectively let x001,001=0 and x001,001=1, forming two sub-problems; relax each sub-problem into a linear programming problem again and solve, if the obtained solution still has non-integer variables, continue branching until all sub-problems have integer solutions;

[0111] Compare the objective function values corresponding to all integer solutions, and take the solution corresponding to the minimum objective function value as the final xij value combination;

[0112] When the battery swap vehicle charging is completed, the remaining battery power is calculated; for the battery swap vehicles that do not reach the required power, the required power is recalculated, and the matching model is re-established to update the matching relationship matrix; for example, after the vehicle V001 is charged, the remaining battery power B001 = 50-5x4 = 30, the vehicles V002 and V003 are not charged, their required power is recalculated, and then the matching model is re-established to update the matching relationship matrix, when all battery swap vehicles reach the required power, the iteration is stopped, and the goal of the shortest charging time is achieved.

[0113] It will be obvious to a person skilled in the art that the application is not limited to the details of the foregoing exemplary embodiments and can be implemented in other concrete forms without departing from the spirit or essential characteristics of the application. Consequently, the embodiments are to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and therefore all changes coming within the meaning and equivalency range of the essential elements of the claims are intended to be embraced therein. Any reference signs in the claims should not be construed as limiting the claims concerned.

Claims

1. A digital micro-grid mobile battery swapping station charging and swapping data control method, characterized in that: The method comprises the following steps: Step 1, label the battery, collect the available power of each battery and the charging and discharging rate; Step 2, collect the required power for the task, and detect whether there is power grid power supply; Step 3, when there is no power grid power supply, the mobile battery swap station uses independent power supply mode, and judges whether the available power meets the power demand of the battery swap vehicle; Step 4, when the available power meets the power demand of the battery swap vehicle, a charging and battery swap strategy is formulated; when the available power does not meet the power demand of the battery swap vehicle, a charging and battery swap strategy is formulated and feedback information is fed back; Step 5, in the power grid power supply mode, corresponding battery swap strategies are formulated according to different situations; In step 4, the total available power of all batteries and the total required power of the battery swap vehicle are calculated, when the total available power of the batteries minus the power of the power supply required in the independent power supply mode is not less than the total required power of the battery swap vehicle, it is considered that the available power meets the power demand of the battery swap vehicle; a battery vehicle matching model is established to make the overall charging time shortest; When the total available power of the batteries minus the power of the power supply required in the independent power supply mode is less than the total required power of the battery swap vehicle, it is considered that the available power does not meet the power demand of the battery swap vehicle; the information of insufficient power is fed back to the mobile battery swap station; at the same time, the required power of different battery swap vehicles is sorted from large to small, the total required power of the battery swap vehicle is gradually reduced by the required power of the battery swap vehicle with the highest order, until the result is less than or equal to the total available power of the batteries; a battery vehicle matching model is established for the battery swap vehicle which is not reduced, so that the power demand of the most battery swap vehicles is completed in the shortest time; In step 5, when the location of the battery swap area is within the power grid power supply range, the mobile battery swap station uses the power grid power supply mode; in the power grid power supply mode, the power grid directly supports the operation of the mobile battery swap station; When the total available power of the batteries is not less than the total required power of the battery swap vehicle, it is considered that the available power meets the power demand of the battery swap vehicle; a battery vehicle matching model is established for all batteries and battery swap vehicles, and the battery swap task is completed according to the matching result; When the total available power of the batteries is less than the total required power of the battery swap vehicle, it is considered that the available power does not meet the power demand of the battery swap vehicle; the power gap is obtained according to the total required power of the battery swap vehicle minus the total available power of the batteries; The discharge rate of the power grid is obtained from the power grid system; combined with the discharge rate of the power grid, the number of chargeable batteries of the mobile battery swap station and the battery charging rate, the charging battery group is selected: the batteries with charging rate greater than or equal to the discharge rate of the power grid are selected from the batteries, and the battery group with the lowest available power and equivalent to the number of chargeable batteries of the mobile battery swap station is selected as the charging battery group; for the remaining batteries and the battery swap vehicles, a battery vehicle matching model is constructed to minimize the task time for charging and battery swap task.

2. The digital micro-grid mobile battery swapping station charging and swapping data control method of claim 1, wherein: In step 1, RFID tag technology is used to assign a unique identifier to each battery of the mobile battery swap station; a high-precision power sensor is integrated in the battery to collect real-time battery remaining power data; the battery charging and discharging rate is obtained from the battery product specification; the available power refers to the remaining power of the battery minus the dead zone power which cannot be released due to the battery itself; the dead zone power is represented by the remaining power when the battery cannot be discharged last time; The collected battery data is stored in the form of [battery identifier, available power, charging rate, discharging rate].

3. The digital micro-grid mobile battery swapping station charging and swapping data control method of claim 2, characterized in that: In step 2, after reaching the battery swap area, the mobile battery swap station establishes a connection with the battery swap vehicle through license plate recognition or vehicle identity recognition; the number of battery swap vehicles, the required charging amount of the battery swap vehicles, and the charging rate of the battery swap vehicles are obtained; The collected battery swap vehicle data is stored in the form of [vehicle, required power, charging rate]; By positioning the location of the battery swap area, combined with the power grid system, it is determined whether the location of the battery swap area is within the power supply range of the power grid, and further whether there is power supply from the power grid.

4. The digital micro-grid mobile battery swapping station charging and swapping data control method of claim 3, characterized in that: In step 3, when the location of the battery swap area is not within the power supply range of the power grid, the mobile battery swap station uses an independent power supply mode; Extract the running data of the independent power supply mode in the recent period of historical data; the data includes the running time of each independent power supply operation, the total power consumption during the operation, the total available power of the mobile battery swap station battery, the average output power of the mobile battery swap station battery, the number of battery swap vehicles, the average charging rate of the battery swap vehicles, and the total required power of the battery swap vehicles; Calculate the required power of the mobile battery swap station operation per unit time; With the running time as the dependent variable, and the total available power of the mobile battery swap station battery, the average output power of the mobile battery swap station battery, the number of battery swap vehicles, the average charging rate of the battery swap vehicles, and the total required power of the battery swap vehicles as independent variables, a regression model is constructed; Combined with the collected battery data and battery swap vehicle data, the running time of the mobile battery swap station is predicted according to the regression model; According to the required power of the mobile battery swap station operation per unit time and the predicted running time of the mobile battery swap station, the estimated required power is obtained; Select all batteries with available power greater than the estimated required power from the batteries, and select the battery with the lowest power again as the required power source for the independent power supply mode.

5. The digital micro-grid mobile battery swapping station charging and swapping data control method of claim 4, wherein: In step 4, a battery vehicle matching model is established: a matching relationship matrix is established for each battery and each battery swap vehicle, except for the batteries used for moving the battery swap station; the element t ij in the matrix represents the time required for the i-th battery to charge the j-th battery swap vehicle; the discharge rate of the battery i is represented as v i , the charging rate of the battery swap vehicle j is represented as v j , the actual charging rate v ij =min(v i ,v j ); according to the available power q i of the battery and the charging demand power q j of the vehicle, the charging time t ij =min(q i ,q j ) / v ij ; wherein i is a positive integer, representing the battery sequence; j is a positive integer, representing the battery swap vehicle sequence; The objective is to minimize the overall charging time, and the objective function F is defined as: where x ij represents the decision variable, and x ij =1 means yes, and x ij =0 means no. Constraint setting: power constraint: if there is still power left after each battery is allocated to the vehicle charging, the remaining power cannot be negative; vehicle charging power constraint: the charging power obtained by each vehicle is less than or equal to its required power; charging starts at the beginning and ends when the required power of the battery swap vehicle is reached or when the required power is not reached but the battery power is exhausted; decision variable constraint: x ij Take 0 or 1; battery usage constraint: each battery can only charge one battery swap vehicle at the same time; Using integer programming solution method, find the value combination of x that makes the objective function F minimum ij The value combination of x that makes the objective function F minimum is found by using an integer programming solution method; when the battery swap vehicle charging is completed, the remaining battery capacity is calculated; for the battery swap vehicles that do not reach the required power, the required power is recalculated, and the matching model is re-established to update the matching relationship matrix; the iteration is stopped when all battery swap vehicles reach the required power; the goal of the shortest charging time is achieved.

6. The digital micro-grid mobile battery swapping station charging and swapping data control method of claim 5, characterized in that: In step 5, when the charging battery group has a battery charged to the maximum available power, and the total charging amount of the battery group is less than the power gap, the charging and battery swapping task is ended, and the charging battery group is selected from the batteries with a charging rate greater than or equal to the power grid discharging rate, with the lowest available power and the number of chargeable batteries of the mobile battery swap station as the charging battery group. The remaining batteries with available power greater than 0 and the battery swap vehicles with power demand greater than 0 are used to construct a battery vehicle matching model to minimize the task time for charging and battery swapping; Until the total charging amount of the charging battery group is greater than or equal to the power gap; When the total charging amount of the charging battery group is greater than or equal to the power gap, stop charging, and re-construct a battery vehicle matching model for all batteries with available power greater than 0 and battery swap vehicles with power demand greater than 0 according to the battery discharging condition and the battery swap vehicle charging condition to minimize the task time for charging and battery swapping.

7. A digital micro-grid mobile battery swap station charging and swapping data control system applied to the digital micro-grid mobile battery swap station charging and swapping data control method of any one of claims 1-6, characterized in that: The system includes a data acquisition and processing module, an independent power supply mode module, and a power grid power supply mode module; The data acquisition and processing module is used to collect and record mobile battery swap station battery information, battery swap vehicle information, power grid information, and determine the power supply mode according to the power grid information; The independent power supply mode module is used to develop a corresponding charging and battery swapping task strategy when the mobile battery swap station is in an independent power supply mode; The grid power supply mode module is configured to formulate a corresponding battery charging and replacing task strategy when the mobile battery swap station is in a grid power supply mode. 8.The digital micro-grid mobile battery swap station charging and swapping data control system of claim 7, wherein: The data acquisition and processing module includes a battery information acquisition unit, a battery swap vehicle information acquisition unit, a grid information acquisition unit, and a power supply mode judgment unit. The battery information acquisition unit is configured to acquire and store battery identification, power, and charging and discharging rates of the mobile battery swap station. The grid information acquisition unit is configured to acquire grid discharging rates and location information. 9.The digitalized micro-grid mobile battery swapping station battery swapping data control system of claim 8, wherein: The power supply mode judgment unit is configured to determine the working mode of the mobile battery swap station according to the location information and whether there is grid power supply. The independent power supply mode module includes a regression model unit, a first power judgment unit, a first strategy formulation unit, and a second strategy formulation unit. The regression model unit is configured to construct a regression model to predict the duration of independent power supply tasks and determine the required batteries for the operation of the mobile power supply station.

10. The digital micro-grid mobile battery swapping station charging and swapping data control system of claim 9, wherein: The first power judgment unit is configured to determine whether the battery power, excluding the power required for operation, in the independent power supply mode meets the power demand of the battery swap vehicle. The second strategy formulation unit is configured to formulate a battery charging and replacing task strategy when the power does not meet the power demand. The grid power supply mode module includes a second power judgment unit, a third strategy formulation unit, and a fourth strategy formulation unit. The second power judgment unit is configured to determine whether the total available battery power in the grid power supply mode meets the power demand of the battery swap vehicle. The third strategy formulation unit is configured to formulate a battery charging and replacing task strategy when the power meets the power demand. The fourth strategy formulation unit is configured to formulate a battery charging and replacing task strategy when the power does not meet the power demand.

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