Charging control methods, devices, equipment and media for charging piles

Abstract

This application relates to a charging control method, apparatus, equipment, and medium for charging piles, applied in the field of charging pile technology. The method includes: acquiring information about a vehicle to be charged and power supply information, wherein the power supply information includes current power grid supply information, power generation information of the charging pile, and power storage capacity; analyzing the information about the vehicle to be charged to determine the charging level of the vehicle; determining a charging strategy based on the power supply information, the information about the vehicle to be charged, and the charging level; and controlling the charging pile to charge the vehicle to be charged based on the charging strategy. This application improves the reliability of charging pile control.

Description

Technical Field

[0001] This application relates to the technical field of charging pile charging, and in particular to a charging pile charging control method, device, equipment and medium. Background Technology

[0002] Charging control at charging stations is a crucial aspect of the widespread adoption of electric vehicles. With the rapid development of electric vehicles globally, the number and distribution of charging stations are also increasing. Charging stations not only need to provide basic charging functionality but also require efficient and intelligent management capabilities to meet the diverse needs of different users. This efficient charging management can significantly improve user experience, reduce waiting time, and increase overall energy efficiency, which is of great significance for promoting the development of the electric vehicle industry.

[0003] Currently, common technical methods for controlling charging piles mainly include: 1) Static configuration, which pre-sets the maximum output power and other parameters of each charging pile without considering real-time changes in power supply and demand; 2) Simple dynamic adjustment, which adjusts the output power of the charging pile by monitoring the current grid load, but still lacks precise matching for users' personalized needs. While these traditional methods can alleviate charging pressure to some extent, they still have many shortcomings when facing complex and ever-changing real-world application scenarios. Summary of the Invention

[0004] To improve the reliability of charging pile charging control, this application provides a charging pile charging control method, device, equipment, and medium.

[0005] Firstly, this application provides a charging control method for a charging pile, which adopts the following technical solution:

[0006] A charging control method for a charging pile includes:

[0007] Obtain information about the vehicle to be charged and power supply information, including the current power supply information of the power grid, the power production information of the charging pile, and the amount of stored power.

[0008] The information of the vehicles to be charged is analyzed to determine the charging level of the vehicles to be charged.

[0009] A charging strategy is determined based on the power supply information, the information of the vehicle to be charged, and the charging level.

[0010] Based on the charging strategy, the charging pile is controlled to charge the vehicle to be charged.

[0011] By adopting the above technical solution, when determining the charging strategy, not only the current power supply information of the power grid, the power production information of the charging pile, and the amount of power storage are taken into account, but also the charging level of the vehicle to be charged is taken into account. That is, not only is the power supply of the charging pile under various conditions taken into account, but also the power supply of the vehicle to be charged with a higher charging level is improved, thereby improving the reliability of the charging control of the charging pile.

[0012] Optionally, analyzing the information of the vehicle to be charged to determine the charging level of the vehicle to be charged includes:

[0013] The charging information of the vehicle to be charged is determined based on the vehicle information to be charged. The charging information includes the rated charging power, current power level, target power level, and required charging time period. The required charging time period includes the start time of the demand and the end time of the demand.

[0014] If the demand end time does not exist for the vehicle to be charged, then the target queue vehicle and the demand start time of the target queue vehicle are determined based on the information of the vehicle to be charged. The target queue vehicle is the first queue vehicle that corresponds to the same charging interface as the vehicle to be charged.

[0015] The start time of the demand of the target queued vehicles is determined as the end time of the demand of the vehicles waiting to be charged.

[0016] The charging duration is determined based on the end time of the demand and the start time of the demand.

[0017] Calculate the required power based on the target power level and the current power level;

[0018] The shortest charging time is calculated based on the rated charging power and the required power.

[0019] The expandable charging time is calculated based on the shortest charging time and the required charging time.

[0020] The charging level of the vehicle to be charged is determined based on the scalable charging time, the required power, the target power, and the required charging time period.

[0021] By adopting the above technical solution, when there is no demand end time for the vehicle to be charged, the demand end time is determined by the first vehicle in the queue charging through the same charging interface. When determining the charging level, not only the scalable charging time, the required power, and the target power are considered, but also the demand charging time period is considered, which improves the reliability of the charging level.

[0022] Optionally, determining the charging strategy based on the power supply information, the vehicle information to be charged, and the charging level includes:

[0023] Obtain historical power supply information from the power grid and historical power generation information from the charging pile;

[0024] A preset machine learning model is trained based on the historical power supply information of the power grid to obtain a power grid power supply prediction model;

[0025] Predict the power supply of the power grid based on the current power supply information of the power grid and the power grid power supply prediction model;

[0026] The preset machine learning model is trained based on the historical power production information to obtain a power production prediction model;

[0027] Based on the power production information and the power production prediction model, predict the power production volume;

[0028] The total power supply of the charging pile is calculated based on the power grid supply, the power generation, and the power storage.

[0029] The charging strategy is determined based on the total available power, the information of the vehicles to be charged, and the charging level.

[0030] By adopting the above technical solution, the preset machine learning model is trained with historical power supply information and historical power production information of the power grid to obtain a power grid power supply prediction model and a power production prediction model. The two models can more accurately predict the power supply and power production of the power grid, thereby calculating a more accurate total power supply of the charging pile. The charging strategy is determined based on the total power supply, which improves the reliability of the charging strategy.

[0031] Optionally, determining the charging strategy based on the total available power, the information of the vehicle to be charged, and the charging level includes:

[0032] Calculate the total electricity demand of the vehicle to be charged corresponding to each of the charging piles;

[0033] If the total power demand is greater than the total power supply, then the minimum power demand for each of the vehicles to be charged is calculated based on the information of the vehicles to be charged and the preset driving distance.

[0034] Calculate the first minimum power requirement for each of the charging piles corresponding to the vehicle to be charged;

[0035] If the sum of the first minimum required power is greater than the total supplied power, then calculate the sum of the second minimum required power for the vehicle to be charged corresponding to each charging level;

[0036] If the second minimum power requirement is greater than the total power supply, then the vehicles to be charged corresponding to the same charging level are sorted in ascending order of minimum power requirement to obtain a first sorting result.

[0037] The vehicles to be charged are selected sequentially from the first sorting results, and the selected vehicles to be charged are determined as the first vehicles to be charged, until the third minimum power requirement of the selected first vehicles to be charged meets the preset conditions. The preset conditions include that the third minimum power requirement is not greater than the total power supply, and the sum of the third minimum power requirement and the minimum power requirement of the next vehicle to be charged in the first sorting results is greater than the total power supply.

[0038] The charging power is determined based on the power supply from the grid and the electricity production.

[0039] The charging strategy is determined based on the charging power, the first vehicle to be charged, and the minimum required power.

[0040] By adopting the above technical solution, when determining the charging strategy, the total power demand, the first minimum power demand, and the second minimum power demand can be considered in sequence, making the charging strategy more reasonable.

[0041] Optionally, if the total electricity demand is greater than the total electricity supply, and the sum of the first minimum electricity demand and the total electricity supply is less than the total electricity supply, then the method further includes:

[0042] Calculate the first remaining available power supply based on the first minimum power demand and the total power supply;

[0043] Obtain the historical temporary power demand and historical reserved power demand of the charging pile;

[0044] The temporary demand ratio is calculated based on the historical temporary electricity demand and the historical reserved electricity demand.

[0045] The estimated temporary electricity demand is calculated based on the aforementioned temporary demand ratio and the total electricity demand.

[0046] If the power supply from the grid is 0, the power generation is 0, and the first remaining available power is greater than the expected temporary demand power, then the second remaining available power is calculated based on the first remaining available power and the expected temporary demand power.

[0047] The charging strategy is determined based on the second remaining available power, the minimum required power, the information of the vehicle to be charged, and the charging level.

[0048] By adopting the above technical solution, the charging strategy is determined by considering not only the vehicles currently waiting to be charged and those in the queue, but also temporary charging needs, thus improving the reliability of the charging strategy.

[0049] Optionally, determining the charging strategy based on the second remaining available power, the minimum required power, the vehicle information to be charged, and the charging level includes:

[0050] The remaining required power is calculated based on the information of the vehicle to be charged and the minimum required power.

[0051] The vehicles to be charged are sorted based on the charging level, the end time of the demand, and the remaining demand for electricity to obtain a second sorting result;

[0052] Based on the second sorting result, the second remaining available power supply, and the remaining demand power, a remaining power allocation strategy is determined.

[0053] The charging power is determined based on the power supply from the grid and the electricity production.

[0054] The charging strategy is determined based on the remaining power allocation strategy and the charging power.

[0055] By adopting the above technical solution, when there is a second remaining available power, the remaining power allocation strategy is determined according to the second sorting result, which improves the reliability of the remaining power allocation strategy and thus improves the reliability of the charging strategy.

[0056] Optionally, the step of sorting the vehicles to be charged based on the charging level, the end time of the demand, and the remaining required battery power to obtain a second sorting result includes:

[0057] The vehicles to be charged are divided according to the charging level to obtain multiple combinations of vehicles to be charged.

[0058] Calculate the time interval between every two demand termination times in each of the said vehicle combinations to be charged;

[0059] If the interval is less than the preset interval, the vehicles to be charged will be sorted according to their remaining battery power requirements.

[0060] If the interval duration is greater than or equal to the preset interval duration, the vehicles to be charged are sorted according to the end time of the demand.

[0061] The various combinations of vehicles to be charged are sorted based on the charging level to obtain the second sorting result.

[0062] By adopting the above technical solution, the second ranking result is determined by fully considering the charging level of the vehicle to be charged, the end time of demand, and the remaining demand for electricity, making the second ranking result more reasonable.

[0063] Secondly, this application provides a charging pile charging control device, which adopts the following technical solution:

[0064] A charging control device for a charging pile includes:

[0065] The information acquisition module is used to acquire information about the vehicle to be charged and power supply information, including the current power supply information of the power grid, the power production information of the charging pile, and the amount of stored power.

[0066] The charging level determination module is used to analyze the information of the vehicle to be charged and determine the charging level of the vehicle to be charged.

[0067] The strategy determination module is used to determine a charging strategy based on the power supply information, the information of the vehicle to be charged, and the charging level.

[0068] The charging control module is used to control the charging pile to charge the vehicle to be charged based on the charging strategy.

[0069] By adopting the above technical solution, when determining the charging strategy, not only the current power supply information of the power grid, the power production information of the charging pile, and the amount of power storage are taken into account, but also the charging level of the vehicle to be charged is taken into account. That is, not only is the power supply of the charging pile under various conditions taken into account, but also the power supply of the vehicle to be charged with a higher charging level is improved, thereby improving the reliability of the charging control of the charging pile.

[0070] Thirdly, this application provides an electronic device that adopts the following technical solution:

[0071] An electronic device includes a processor coupled to a memory;

[0072] The memory stores a computer program that can be loaded by a processor and executed by the charging pile charging control method described in any of the first aspects.

[0073] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution:

[0074] A computer-readable storage medium storing a computer program capable of being loaded by a processor and executing the charging pile charging control method according to any one of the first aspects. Attached Figure Description

[0075] Figure 1This is a flowchart illustrating a charging control method for a charging pile provided in an embodiment of this application.

[0076] Figure 2 This is a structural block diagram of a charging pile charging control device provided in an embodiment of this application.

[0077] Figure 3 This is a structural block diagram of the electronic device provided in the embodiments of this application. Detailed Implementation

[0078] The present application will be further described in detail below with reference to the accompanying drawings.

[0079] This application provides a charging pile charging control method, which can be executed by an electronic device. The electronic device can be a server or a terminal device. The server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet computer, desktop computer, etc., but is not limited to these.

[0080] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0081] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0082] like Figure 1 As shown, a charging control method for a charging pile is described in the following steps (S101-S104):

[0083] Step S101: Obtain information about the vehicle to be charged and the power supply information.

[0084] The information includes: vehicle information for vehicles that have reserved charging stations; basic information for vehicles including license plate number and vehicle model; charging information including rated charging power, current battery level, target battery level, desired charging time period, charging station number, and charging interface; desired charging time period including start time (mandatory, meaning there must be a start time) and end time (optional, meaning there may not be an end time); and power supply information including current grid power supply, charging station power generation information, and energy storage. Current grid power supply information refers to the power supply from the grid to the charging station; power generation information refers to the energy generated by the charging station using its own power generation equipment (such as solar panels); and energy storage refers to the amount of energy stored in the charging station's energy storage equipment. The information for vehicles to be charged and the power supply information are obtained from the charging station.

[0085] Step S102: Analyze the information of the vehicle to be charged and determine the charging level of the vehicle to be charged.

[0086] Specifically, the process involves analyzing the information of the vehicle to be charged to determine its charging level, including: determining the charging information of the vehicle to be charged based on its information; if the vehicle to be charged does not have a demand end time, determining the target queue vehicle and its demand start time based on its information, wherein the target queue vehicle is the first vehicle in the queue corresponding to the same charging interface as the vehicle to be charged; setting the demand start time of the target queue vehicle as the demand end time of the vehicle to be charged; determining the required charging duration based on the demand end time and demand start time; calculating the required power based on the target power and current power; calculating the shortest charging duration based on the rated charging power and the required power; calculating the expandable charging duration based on the shortest charging duration and the required charging duration; and determining the charging level of the vehicle to be charged based on the expandable charging duration, the required power, the target power, and the required charging time period.

[0087] In this embodiment, the charging information of the vehicle to be charged is searched from the information of vehicles to be charged. If the charging information of the vehicle to be charged does not contain a demand end time, the target queue vehicle and the demand start time of the target queue vehicle are searched from all the information of vehicles to be charged. The demand start time of the target queue vehicle is determined as the demand end time of the vehicle to be charged. The demand charging duration = demand end time - demand start time, and the demand power = target power - current power. A preset calculation formula is obtained from the database. The shortest charging duration is calculated according to the preset calculation formula, rated charging power and demand power. The extended charging duration = demand charging duration - shortest charging duration. The total overlap time is calculated based on the demand charging time period and the overlap time between each vehicle to be charged and other vehicles to be charged at the same charging pile.

[0088] The charging level of a vehicle waiting to be charged is relative to other vehicles waiting to be charged at the same charging station. The method for determining the charging level of a vehicle waiting to be charged is as follows:

[0089] 1. If charging pile 1 corresponds to n vehicles waiting to be charged, for the i-th vehicle (i=1, 2, ..., n), its extended charging time is: The required electricity is The target power is The total overlap duration is ;

[0090] 2. The formula for calculating the normalized value of the scalable charging time is: ,in, This is a normalized value for scalable charging time. This represents the maximum extendable charging time among all vehicles waiting to be charged for a given charging station. It represents the minimum scalable charging time among all vehicles waiting to be charged for a given charging station.

[0091] The formula for calculating the normalized value of electricity demand is: ,in, This is the normalized value of the electricity demand. This represents the maximum electricity demand among all vehicles waiting to be charged for a given charging station. It represents the minimum power demand among all vehicles waiting to be charged for a given charging station.

[0092] The formula for calculating the normalized value of the target energy is: ,in, The normalized value of the target energy level. This represents the maximum target battery capacity among all vehicles waiting to be charged for a given charging station. It represents the minimum target battery level among all vehicles waiting to be charged for a given charging station.

[0093] The formula for calculating the normalized value of the total overlap duration is: ,in, This is the normalized value of the total overlap duration. This represents the maximum total overlap time among all vehicles waiting to be charged for a given charging station. It is the minimum total overlap time among all vehicles waiting to be charged for a given charging station.

[0094] 3. Construct the ideal matrix X:

[0095] ,

[0096] Each row represents a vehicle waiting to be charged, and each column represents an indicator.

[0097] 4. Calculate the ideal solution and negative ideal solution :

[0098] ,

[0099] ;

[0100] 5. Calculate the ideal solution for each vehicle to be charged. distance and negative ideal solutions distance :

[0101] ,

[0102] ;

[0103] 6. Calculate the relative proximity of each vehicle to be charged. :

[0104] ;

[0105] The higher the relative proximity value, the higher the charging level of the vehicle to be charged. The database stores the correspondence between relative proximity and charging level, and the charging level is retrieved from the database based on the relative proximity value.

[0106] Step S103: Determine the charging strategy based on power supply information, vehicle information to be charged, and charging level.

[0107] Specifically, the charging strategy is determined based on power supply information, information on vehicles waiting to be charged, and charging level, including: acquiring historical power supply information from the power grid and historical energy production information from charging piles; training a preset machine learning model based on historical power supply information to obtain a power grid power supply prediction model; predicting the power grid supply based on current power supply information and the power grid power supply prediction model; training a preset machine learning model based on historical energy production information to obtain an energy production prediction model; predicting energy production based on energy production information and the energy production prediction model; calculating the total power supply of the charging piles based on power grid supply, energy production, and energy storage; and determining the charging strategy based on the total power supply, information on vehicles waiting to be charged, and charging level.

[0108] In this embodiment, historical power supply information of the power grid and historical power generation information of the charging pile are obtained from the database. A preset machine learning model is trained using the historical power supply information of the power grid to obtain a power grid power supply prediction model. The preset machine learning model can be a neural network model, which is not specifically limited here. The current power supply information of the power grid is input into the power grid power supply prediction model to obtain the predicted power grid power supply. The preset machine learning model is trained using historical power generation information to obtain a power generation prediction model. The power generation information is input into the power generation prediction model to obtain the predicted power generation. The total power supply of the charging pile = power grid power supply + power generation + power storage. The charging strategy is determined based on the total power supply, the information of the vehicles to be charged, and the charging level.

[0109] More specifically, the charging strategy is determined based on the total available power, information on vehicles to be charged, and charging level, including: calculating the total power demand of vehicles to be charged corresponding to each charging pile; if the total power demand is greater than the total available power, calculating the minimum power demand of each vehicle to be charged based on the information on vehicles to be charged and a preset driving distance; calculating the sum of the first minimum power demands of vehicles to be charged corresponding to each charging pile; if the sum of the first minimum power demands is greater than the total available power, calculating the sum of the second minimum power demands of vehicles to be charged corresponding to each charging level; if the sum of the second minimum power demands is greater than the total available power, then charging vehicles to be charged at the same charging level will be charged separately. Vehicles are sorted in ascending order of minimum power demand to obtain a first sorting result. Vehicles to be charged are selected sequentially from the first sorting result and designated as the first vehicle to be charged. This process continues until the third minimum power demand of the selected first vehicle meets preset conditions. These preset conditions include that the third minimum power demand is not greater than the total power supply, and that the sum of the third minimum power demand and the minimum power demand of the next vehicle to be charged in the first sorting result is greater than the total power supply. The charging power is determined based on the grid power supply and electricity production. A charging strategy is then determined based on the charging power, the first vehicle to be charged, and the minimum power demand.

[0110] In this embodiment, the required power of a vehicle to be charged is equal to the target power minus the current power. The required power of all vehicles to be charged corresponding to each charging pile is summed to obtain the total required power of each vehicle to be charged. For a charging pile, if the total required power is less than or equal to the total supplied power, it means that the charging pile can meet the charging needs of all vehicles to be charged. The charging strategy is to charge each vehicle to be charged according to the rated charging power until the required power is met.

[0111] If the total demand for electricity exceeds the total supply, it means that the charging piles cannot meet the charging needs of all vehicles waiting to be charged. The system retrieves the correspondence between electricity consumption and driving distance, as well as the current electricity level, from the vehicle information. Based on this correspondence, it finds the electricity consumption for a preset driving distance (pre-set, not specifically limited here). When the electricity consumption is greater than the current electricity level, the minimum demand for electricity equals the electricity consumption minus the current electricity level. When the electricity consumption is less than or equal to the current electricity level, the minimum demand for electricity is 0. The system calculates the sum of the first minimum demand for electricity for all vehicles waiting to be charged corresponding to each charging pile (the sum of the minimum demand for electricity). The database stores the correspondence between variable supply and charging power. Variable supply equals grid power supply plus electricity production. If the sum of the first minimum demand for electricity equals the total supply, the system retrieves the charging power from the database based on the variable supply. The charging strategy is to charge the vehicles according to the charging power until the minimum demand for electricity for each vehicle is met.

[0112] If the sum of the first minimum energy demand is greater than the total supply, then the sum of the second minimum energy demand of all vehicles waiting to be charged for each charging level of the charging pile is calculated. One sum of the second minimum energy demand corresponds to one charging level. If the sum of the second minimum energy demand is greater than the total supply, then the vehicles waiting to be charged for the same charging level are sorted in ascending order of minimum energy demand to obtain a first sorting result. One first sorting result corresponds to one charging level. Vehicles waiting to be charged are selected sequentially from the first sorting result and designated as the first vehicles waiting to be charged. This process continues until the sum of the third minimum energy demand of the selected vehicles waiting to be charged meets a preset condition, that is, the sum of the third minimum energy demand is equal to the total supply, or the sum of the third minimum energy demand is less than the total supply, and the value of the sum of the third minimum energy demand plus the minimum energy demand of the next vehicle waiting to be charged in the first sorting result is greater than the total supply. The charging power is then retrieved from the database based on the variable supply. The charging strategy is to charge the first vehicles waiting to be charged according to the charging power until the minimum energy demand of the first vehicles waiting to be charged is met. The remaining vehicles waiting to be charged are not charged at this time.

[0113] If the sum of the second minimum required power is equal to the total supplied power, the charging strategy is to charge all vehicles waiting to be charged according to the charging level with the highest charging power until the minimum required power of all vehicles waiting to be charged corresponding to the highest charging level is met, and the remaining vehicles waiting to be charged will not be charged for the time being.

[0114] The charging levels include a first charging level, a second charging level, and a third charging level. If the second minimum required power is less than the total available power, the charging strategy is to charge all vehicles corresponding to the first charging level according to the charging power until the minimum required power of all vehicles corresponding to the first charging level is met. If there is still power remaining in the charging pile, the first vehicle to be charged is selected from the first sorting result corresponding to the second charging level according to the above method, and the first vehicle to be charged continues to be charged according to the above method. This will not be elaborated further here.

[0115] More specifically, if the total electricity demand is greater than the total electricity supply, and the first minimum electricity demand is less than the total electricity supply, the method further includes: calculating a first remaining available electricity supply based on the first minimum electricity demand and the total electricity supply; obtaining the historical temporary electricity demand and historical reserved electricity demand of the charging pile; calculating the temporary demand ratio based on the historical temporary electricity demand and historical reserved electricity demand; calculating the expected temporary electricity demand based on the temporary demand ratio and the total electricity demand; if the grid supply is 0, the electricity production is 0, and the first remaining available electricity supply is greater than the expected temporary electricity demand, then calculating a second remaining available electricity supply based on the first remaining available electricity supply and the expected temporary electricity demand; and determining a charging strategy based on the second remaining available electricity supply, the minimum electricity demand, the information of the vehicles to be charged, and the charging level.

[0116] In this embodiment, if the total demand for electricity is greater than the total supply, and the sum of the first minimum demand is less than the total supply, then after satisfying the minimum demand for electricity of all vehicles to be charged, the first remaining supplyable electricity = total supply - the sum of the first minimum demand. The historical temporary demand and historical reserved demand for electricity of the charging pile are obtained from the database. The temporary demand ratio = historical temporary demand / historical reserved demand. The expected temporary demand = temporary demand ratio × total demand. If the grid supply is 0 and the power generation is 0 (indicating that the charging pile has no additional power supply besides the previously stored electricity), and the first remaining supplyable electricity is greater than the expected temporary demand, then the charging strategy includes prioritizing the use of the first remaining supplyable electricity to satisfy the temporary demand. The second remaining supplyable electricity after satisfying the temporary demand = the first remaining supplyable electricity - the expected temporary demand. The charging strategy is determined based on the second remaining supplyable electricity, the minimum demand, the information of the vehicles to be charged, and the charging level.

[0117] If the grid supply is 0, the power generation is 0, and the first remaining available power is less than or equal to the expected temporary demand, the charging strategy includes no longer allocating the first remaining available power and using the first remaining available power to meet the temporary demand.

[0118] If the power supply from the grid is not zero and / or the power generation is not zero, it means that the charging pile has additional power supply in addition to the previously stored power. There is no need to consider temporary demand. The first remaining available power can be allocated in the same way as the second remaining available power described above. This will not be elaborated here.

[0119] Specifically, the charging strategy is determined based on the second remaining available power, the minimum required power, the information of the vehicles to be charged, and the charging level. This includes: calculating the remaining required power based on the information of the vehicles to be charged and the minimum required power; sorting the vehicles to be charged based on the charging level, the time of demand termination, and the remaining required power to obtain a second sorting result; determining the remaining power allocation strategy based on the second sorting result, the second remaining available power, and the remaining required power; determining the charging power based on the grid power supply and power generation; and determining the charging strategy based on the remaining power allocation strategy and the charging power.

[0120] In this embodiment, the remaining power demand of the vehicle to be charged = the power demand of the vehicle to be charged - the minimum power demand. The vehicles to be charged are sorted according to the charging level from high to low, the demand end time from early to late, and the remaining power demand from small to large to obtain a second sorting result. The remaining power allocation strategy is to allocate power to the vehicles to be charged in the second sorting result in turn until the sum of the remaining power demand of the vehicles to be charged that have been allocated power equals the second remaining available power. The variable supply is calculated based on the grid power supply and power production. The charging power is obtained from the database based on the variable supply. The charging strategy includes charging according to the remaining power allocation strategy and the charging power.

[0121] More specifically, the vehicles to be charged are sorted based on charging level, demand end time, and remaining demand, to obtain a second sorting result. This includes: dividing the vehicles to be charged into multiple combinations according to charging level; calculating the interval between every two demand end times in each combination; if the interval is less than a preset interval, sorting the vehicles to be charged according to the remaining demand; if the interval is greater than or equal to the preset interval, sorting the vehicles to be charged according to the demand end time; and sorting each combination of vehicles to be charged based on charging level to obtain the second sorting result.

[0122] In this embodiment, the vehicles to be charged are divided according to their charging levels to obtain multiple combinations of vehicles to be charged. Each combination of vehicles to be charged corresponds to a charging level. For each combination of vehicles to be charged, the interval between the end times of the demand of every two vehicles to be charged is calculated. Vehicles to be charged with an interval shorter than a preset interval (pre-set, not specifically limited here) are sorted in ascending order of remaining demand. Vehicles to be charged with an interval longer than or equal to the preset interval are sorted in ascending order of demand end time. Then, each combination of vehicles to be charged is sorted in descending order of charging level to obtain a second sorting result.

[0123] This can also be understood as prioritizing the sorting of vehicles to be charged from highest to lowest charging level. If the vehicles to be charged have the same priority level, they are then sorted from earliest to latest demand end time. If the interval between the demand end times of adjacent vehicles is less than a preset interval, the order of adjacent vehicles to be charged is adjusted according to the rule of remaining demand power from smallest to largest, resulting in a second sorting result.

[0124] Step S104: Based on the charging strategy, control the charging pile to charge the vehicle to be charged.

[0125] The charging strategy controls the charging stations to charge the vehicles waiting to be charged, thereby enabling the vehicles waiting to be charged to receive better charging services.

[0126] Figure 2 This is a structural block diagram of a charging pile charging control device 200 provided in an embodiment of this application.

[0127] like Figure 2 As shown, the charging pile charging control device 200 mainly includes:

[0128] The information acquisition module 201 is used to acquire information about the vehicle to be charged and power supply information. The power supply information includes the current power supply information of the power grid, the power production information of the charging pile, and the amount of power stored.

[0129] The charging level determination module 202 is used to analyze the information of the vehicle to be charged and determine the charging level of the vehicle to be charged.

[0130] The strategy determination module 203 is used to determine the charging strategy based on power supply information, information of vehicles to be charged, and charging level.

[0131] The charging control module 204 is used to control the charging pile to charge the vehicle to be charged based on the charging strategy.

[0132] As an optional implementation of this embodiment, the level determination module 202 is further specifically used to analyze the information of the vehicle to be charged and determine the charging level of the vehicle to be charged, including: determining the charging information of the vehicle to be charged based on the information of the vehicle to be charged, the charging information including rated charging power, current power, target power, and required charging time period, the required charging time period including the start time of the demand and the end time of the demand; if the vehicle to be charged does not have a demand end time, then determining the target queuing vehicle and the demand start time of the target queuing vehicle based on the information of the vehicle to be charged, the target queuing vehicle being the first queuing vehicle corresponding to the same charging interface as the vehicle to be charged; determining the demand start time of the target queuing vehicle as the demand end time of the vehicle to be charged; determining the required charging duration based on the demand end time and the demand start time; calculating the required power based on the target power and the current power; calculating the shortest charging duration based on the rated charging power and the required power; calculating the expandable charging duration based on the shortest charging duration and the required charging duration; and determining the charging level of the vehicle to be charged based on the expandable charging duration, the required power, the target power, and the required charging time period.

[0133] As an optional implementation of this embodiment, the strategy determination module 203 is further specifically used to determine a charging strategy based on power supply information, information of vehicles to be charged, and charging level, including: acquiring historical power supply information of the power grid and historical power production information of the charging pile; training a preset machine learning model based on the historical power supply information of the power grid to obtain a power grid power supply prediction model; predicting the power supply of the power grid based on the current power supply information of the power grid and the power grid power supply prediction model; training a preset machine learning model based on historical power production information to obtain a power production prediction model; predicting the power production based on the power production information and the power production prediction model; calculating the total power supply of the charging pile based on the power grid power supply, power production, and power storage; and determining a charging strategy based on the total power supply, information of vehicles to be charged, and charging level.

[0134] As an optional implementation of this embodiment, the strategy determination module 203 is further specifically used to determine a charging strategy based on the total power supply, the information of the vehicles to be charged, and the charging level, including: calculating the total power demand of the vehicles to be charged corresponding to each charging pile; if the total power demand is greater than the total power supply, calculating the minimum power demand of each vehicle to be charged based on the information of the vehicles to be charged and the preset driving distance; calculating the sum of the first minimum power demand of the vehicles to be charged corresponding to each charging pile; if the sum of the first minimum power demand is greater than the total power supply, calculating the sum of the second minimum power demand of the vehicles to be charged corresponding to each charging level; if the sum of the second minimum power demand is greater than the total power supply, then... Vehicles with the same charging level are sorted from lowest to highest minimum energy demand to obtain a first sorting result. Vehicles are then selected sequentially from this first sorting result, designated as the first vehicle to be charged, until the third minimum energy demand of the selected first vehicle meets preset conditions. These preset conditions include that the third minimum energy demand is not greater than the total available energy, and that the sum of the third minimum energy demand and the minimum energy demand of the next vehicle in the first sorting result is greater than the total available energy. The charging power is determined based on grid power supply and electricity production. Finally, a charging strategy is determined based on the charging power, the first vehicle to be charged, and the minimum energy demand.

[0135] As an optional implementation of this embodiment, the strategy determination module 203 is further configured to: if the total demand for electricity is greater than the total supply of electricity, and the first minimum demand for electricity is less than the total supply of electricity, then further include: calculating the first remaining available supply of electricity based on the first minimum demand for electricity and the total supply of electricity; obtaining the historical temporary demand for electricity and the historical reserved demand for electricity of the charging pile; calculating the temporary demand ratio based on the historical temporary demand for electricity and the historical reserved demand for electricity; calculating the expected temporary demand for electricity based on the temporary demand ratio and the total demand for electricity; if the grid supply is 0, the electricity production is 0, and the first remaining available supply of electricity is greater than the expected temporary demand for electricity, then calculating the second remaining available supply of electricity based on the first remaining available supply of electricity and the expected temporary demand for electricity; and determining the charging strategy based on the second remaining available supply of electricity, the minimum demand for electricity, the information of the vehicle to be charged, and the charging level.

[0136] As an optional implementation of this embodiment, the strategy determination module 203 is further specifically used to determine a charging strategy based on the second remaining available power, the minimum required power, the information of the vehicle to be charged, and the charging level, including: calculating the remaining required power based on the information of the vehicle to be charged and the minimum required power; sorting the vehicles to be charged based on the charging level, the demand end time, and the remaining required power to obtain a second sorting result; determining the remaining power allocation strategy based on the second sorting result, the second remaining available power, and the remaining required power; determining the charging power based on the grid power supply and the power generation; and determining the charging strategy based on the remaining power allocation strategy and the charging power.

[0137] As an optional implementation of this embodiment, the strategy determination module 203 is further specifically used to sort the vehicles to be charged based on the charging level, the end time of demand, and the remaining demand for electricity, to obtain a second sorting result, including: dividing the vehicles to be charged according to the charging level to obtain multiple combinations of vehicles to be charged; calculating the interval between every two end times of demand in each combination of vehicles to be charged; if the interval is less than a preset interval, sorting the vehicles to be charged according to the remaining demand for electricity; if the interval is greater than or equal to the preset interval, sorting the vehicles to be charged according to the end time of demand; and sorting each combination of vehicles to be charged based on the charging level to obtain a second sorting result.

[0138] In one example, the module in any of the above devices may be one or more integrated circuits configured to implement the above methods, such as one or more application-specific integrated circuits (ASICs), or one or more digital signal processors (DSPs), or one or more field-programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0139] For example, when modules in a device can be implemented via a processing element scheduler, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor capable of calling programs. Alternatively, these modules can be integrated together as a system-on-a-chip (SOC).

[0140] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the above-described device and module can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0141] Figure 3 This is a structural block diagram of an electronic device 300 provided in an embodiment of this application.

[0142] like Figure 3 As shown, the electronic device 300 includes a processor 301 and a memory 302, and may further include one or more of an information input / output (I / O) interface 303, a communication component 304, and a communication bus 305.

[0143] The processor 301 controls the overall operation of the electronic device 300 to complete all or part of the steps of the charging pile charging control method described above. The memory 302 stores various types of data to support the operation of the electronic device 300. This data may include, for example, instructions for any application or method operating on the electronic device 300, as well as application-related data. The memory 302 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as one or more of Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0144] I / O interface 303 provides an interface between processor 301 and other interface modules, such as keyboards, mice, and buttons. These buttons can be virtual or physical. Communication component 304 is used for wired or wireless communication between electronic device 300 and other devices. Wireless communication includes Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination thereof. Therefore, the corresponding communication component 304 may include a Wi-Fi component, a Bluetooth component, and an NFC component.

[0145] The electronic device 300 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to execute the charging pile charging control method given in the above embodiments.

[0146] The communication bus 305 may include a path for transmitting information between the aforementioned components. The communication bus 305 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 305 may be divided into an address bus, a data bus, a control bus, etc.

[0147] Electronic device 300 may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers, and may also be servers.

[0148] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the charging pile charging control method described above.

[0149] The computer-readable storage medium may include various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0150] The terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0151] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the foregoing application concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions claimed in this application.

Claims

1. A charging control method for a charging pile, characterized in that, include: The system acquires information about vehicles to be charged and power supply information. The power supply information includes the current power supply information of the power grid, the power production information of the charging pile, and the amount of stored power. The information about vehicles to be charged includes the charging time period required by the vehicles to be charged, which includes the start time of the demand and the end time of the demand. The information of the vehicles to be charged is analyzed to determine the charging level of the vehicles to be charged. A charging strategy is determined based on the power supply information, the information of the vehicle to be charged, and the charging level. Based on the charging strategy, the charging pile is controlled to charge the vehicle to be charged; The process of determining a charging strategy based on the power supply information, the vehicle information to be charged, and the charging level includes: Obtain historical power supply information from the power grid and historical power generation information from the charging pile; A preset machine learning model is trained based on the historical power supply information of the power grid to obtain a power grid power supply prediction model; Predict the power supply of the power grid based on the current power supply information of the power grid and the power grid power supply prediction model; The preset machine learning model is trained based on the historical power production information to obtain a power production prediction model; Based on the power production information and the power production prediction model, predict the power production volume; The total power supply of the charging pile is calculated based on the power grid supply, the power generation, and the power storage. The charging strategy is determined based on the total available power, the information of the vehicles to be charged, and the charging level. The process of determining the charging strategy based on the total available power, the information of the vehicles to be charged, and the charging level includes: Calculate the total electricity demand of the vehicle to be charged corresponding to each of the charging piles; If the total power demand is greater than the total power supply, then the minimum power demand for each of the vehicles to be charged is calculated based on the information of the vehicles to be charged and the preset driving distance. Calculate the first minimum power requirement for each of the charging piles corresponding to the vehicle to be charged; If the sum of the first minimum required power is greater than the total supplied power, then calculate the sum of the second minimum required power for the vehicle to be charged corresponding to each charging level; If the second minimum power requirement is greater than the total power supply, then the vehicles to be charged corresponding to the same charging level are sorted in ascending order of minimum power requirement to obtain a first sorting result. The vehicles to be charged are selected sequentially from the first sorting results, and the selected vehicles to be charged are determined as the first vehicles to be charged, until the third minimum power requirement of the selected first vehicles to be charged meets the preset conditions. The preset conditions include that the third minimum power requirement is not greater than the total power supply, and the sum of the third minimum power requirement and the minimum power requirement of the next vehicle to be charged in the first sorting results is greater than the total power supply. The charging power is determined based on the power supply from the grid and the electricity production. The charging strategy is determined based on the charging power, the first vehicle to be charged, and the minimum required power.

2. The method according to claim 1, characterized in that, The step of analyzing the information of the vehicle to be charged to determine the charging level of the vehicle to be charged includes: The charging information of the vehicle to be charged is determined based on the vehicle information to be charged. The charging information includes the rated charging power, current power level, target power level, and required charging time period. If the demand end time does not exist for the vehicle to be charged, then the target queue vehicle and the demand start time of the target queue vehicle are determined based on the information of the vehicle to be charged. The target queue vehicle is the first queue vehicle that corresponds to the same charging interface as the vehicle to be charged. The start time of the demand of the target queued vehicles is determined as the end time of the demand of the vehicles waiting to be charged. The charging duration is determined based on the end time of the demand and the start time of the demand. Calculate the required power based on the target power level and the current power level; The shortest charging time is calculated based on the rated charging power and the required power. The expandable charging time is calculated based on the shortest charging time and the required charging time. The charging level of the vehicle to be charged is determined based on the scalable charging time, the required power, the target power, and the required charging time period.

3. The method according to claim 1, characterized in that, If the total electricity demand is greater than the total electricity supply, and the sum of the first minimum electricity demand and the total electricity supply is less than the total electricity supply, then the method further includes: Calculate the first remaining available power supply based on the first minimum power demand and the total power supply; Obtain the historical temporary power demand and historical reserved power demand of the charging pile; The temporary demand ratio is calculated based on the historical temporary electricity demand and the historical reserved electricity demand. The estimated temporary electricity demand is calculated based on the aforementioned temporary demand ratio and the total electricity demand. If the power supply from the grid is 0, the power generation is 0, and the first remaining available power is greater than the expected temporary demand power, then the second remaining available power is calculated based on the first remaining available power and the expected temporary demand power. The charging strategy is determined based on the second remaining available power, the minimum required power, the information of the vehicle to be charged, and the charging level.

4. The method according to claim 3, characterized in that, The step of determining the charging strategy based on the second remaining available power, the minimum required power, the information of the vehicle to be charged, and the charging level includes: The remaining required power is calculated based on the information of the vehicle to be charged and the minimum required power. The vehicles to be charged are sorted based on the charging level, the end time of the demand, and the remaining demand for electricity to obtain a second sorting result; Based on the second sorting result, the second remaining available power supply, and the remaining demand power, a remaining power allocation strategy is determined. The charging power is determined based on the power supply from the grid and the electricity production. The charging strategy is determined based on the remaining power allocation strategy and the charging power.

5. The method according to claim 4, characterized in that, The second sorting result is obtained by sorting the vehicles to be charged based on the charging level, the end time of the demand, and the remaining demand for electricity, including: The vehicles to be charged are divided according to the charging level to obtain multiple combinations of vehicles to be charged. Calculate the time interval between every two demand termination times in each of the said vehicle combinations to be charged; If the interval duration is less than the preset interval duration, the vehicles to be charged will be sorted according to the remaining required power. If the interval duration is greater than or equal to the preset interval duration, the vehicles to be charged are sorted according to the end time of the demand. The various combinations of vehicles to be charged are sorted based on the charging level to obtain the second sorting result.

6. A charging control device for a charging pile, characterized in that, For implementing the method of claim 1, comprising: The information acquisition module is used to acquire information about the vehicle to be charged and power supply information, including the current power supply information of the power grid, the power production information of the charging pile, and the amount of stored power. The charging level determination module is used to analyze the information of the vehicle to be charged and determine the charging level of the vehicle to be charged. The strategy determination module is used to determine a charging strategy based on the power supply information, the information of the vehicle to be charged, and the charging level. The charging control module is used to control the charging pile to charge the vehicle to be charged based on the charging strategy.

7. An electronic device, characterized in that, Includes a processor, which is coupled to a memory; The processor is configured to execute a computer program stored in the memory, causing the electronic device to perform the method as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, It includes a computer program or instructions that, when run on a computer, cause the computer to perform the method as described in any one of claims 1 to 5.

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