Charging pile charging control method and device, equipment and medium

Abstract

The invention relates to a charging pile charging control method, device and equipment and a medium, and is applied to the technical field of charging pile charging, the method comprises the steps that to-be-charged vehicle information and power supply information are acquired, and the power supply information comprises the current power supply information of a power grid, the electric energy production information of a charging pile and the electric energy storage amount; analyzing the information of the to-be-charged vehicle, and determining the charging level of the to-be-charged vehicle; determining a charging strategy based on the power supply information, the information of the to-be-charged vehicle and the charging grade; and controlling the charging pile to charge the to-be-charged vehicle based on the charging strategy. The method has the effect of improving the reliability of charging control of the charging pile.

Description

Technical Field

[0001] The present 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 Art

[0002] Charging control of charging piles is one of the important links in the popularization of electric vehicles. With the rapid development of electric vehicles around the world, the number and distribution of charging piles are also increasing. Charging piles not only need to meet basic charging functions, but also need to have 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 improve overall energy efficiency, which is of great significance to promoting the development of the electric vehicle industry.

[0003] At present, the common technical means for charging pile charging control mainly include: 1) static configuration method, that is, pre-setting the maximum output power and other parameters of each charging pile, without considering the real-time changes in power supply and demand; 2) simple dynamic adjustment method, simply adjusting the output power of the charging pile by monitoring the current grid load, but still lacking accurate matching of user personalized needs. Although these traditional methods can alleviate charging pressure to a certain extent, they still have many shortcomings when facing complex and changeable actual application scenarios. Summary of the invention

[0004] In order to improve the reliability of charging control of a charging pile, the present application provides a charging control method, device, equipment and medium for a charging pile.

[0005] In a first aspect, the present application provides a charging pile charging control method, which adopts the following technical solution: A charging pile charging control method, comprising: Obtaining information about the vehicle to be charged and power supply information, wherein the power supply information includes current power supply information of the power grid, power generation information of the charging pile, and power storage capacity; Analyze the information of the vehicle to be charged to determine the charging level of the vehicle to be charged; determining a charging strategy based on the power supply information, the information of the vehicle to be charged, and the charging level; The charging pile is controlled based on the charging strategy to charge the vehicle to be charged.

[0006] 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 power storage capacity are taken into consideration, but also the charging level of the vehicle to be charged is taken into consideration. That is, not only the power supply of the charging pile under various conditions is taken into consideration, but also vehicles to be charged with a higher charging level can obtain better power supply, thereby improving the reliability of charging control of the charging pile.

[0007] Optionally, analyzing the information of the vehicle to be charged to determine the charging level of the vehicle to be charged includes: determining the charging information of the vehicle to be charged based on the information of the vehicle to be charged, the charging information including the rated charging power, the current power, the target power and the required charging time period, the required charging time period including the required start time and the required end time; If the demand end time does not exist for the vehicle to be charged, a target queuing vehicle and a demand start time for the target queuing vehicle are determined based on the information of the vehicle to be charged, and the target queuing vehicle is the first queuing charging vehicle corresponding to the same charging port 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; Determine the required charging duration based on the required end time and the required start time; Calculating the required power based on the target power and the current power; Calculate the shortest charging time based on the rated charging power and the required power; Calculate the extendable charging time 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 extendable charging time, the required power, the target power, and the required charging time period.

[0008] 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 charging vehicle in the queue through the same charging interface. When determining the charging level, not only the expandable charging time, required power, and target power are taken into account, but also the required charging time period is taken into account, thereby improving the reliability of the charging level.

[0009] Optionally, the determining a charging strategy based on the power supply information, the information of the vehicle to be charged, and the charging level includes: Obtaining historical power supply information of the power grid and historical power production information of the charging pile; Based on the historical power supply information of the power grid, a preset machine learning model is trained to obtain a power supply prediction model of the power grid; Predicting the power supply of the power grid based on the current power supply information of the power grid and the power supply prediction model of the power grid; Training the preset machine learning model based on the historical power production information to obtain a power production prediction model; Predicting the amount of electric energy production based on the electric energy production information and the electric energy production prediction model; The total power supply of the charging pile is calculated based on the power supply of the power grid, the power production and the power storage; and the charging strategy is determined based on the total power supply, the information of the vehicle to be charged and the charging level.

[0010] By adopting the above technical solution, the preset machine learning models are trained respectively with the historical power supply information of the power grid and the historical electricity production information to obtain a power supply prediction model for the power grid and an electricity production prediction model. The two models can more accurately predict the power supply of the power grid and the electricity production, so that the total power supply of the charging pile can be calculated more accurately, and the charging strategy can be determined according to the total power supply, thereby improving the reliability of the charging strategy.

[0011] Optionally, determining the charging strategy based on the total supplied power, the information of the vehicle to be charged, and the charging level includes: Calculate the total power demand of each charging pile corresponding to the vehicle to be charged; If the total power demand is greater than the total power supply, the minimum power demand of each vehicle to be charged is calculated based on the information of the vehicle to be charged and the preset driving distance; Calculate the sum of the first minimum power requirements of each charging pile corresponding to the vehicle to be charged; If the first minimum required power sum is greater than the total supplied power, calculating the second minimum required power sum of the vehicles to be charged corresponding to each of the charging levels; If the second minimum required power is greater than the total supplied power, the vehicles to be charged corresponding to the same charging level are sorted from small to large according to the minimum required power to obtain a first sorting result; Select the vehicles to be charged from the first sorting result in sequence, and determine the selected vehicles to be charged as the first vehicles to be charged, until the third minimum required power sum of the selected first vehicle to be charged meets a preset condition, wherein the preset condition includes that the third minimum required power sum is not greater than the total supplied power, and the sum of the third minimum required power sum and the minimum required power sum of the next vehicle to be charged in the first sorting result is greater than the total supplied power; Determining charging power based on the power grid supply and the power production; The charging strategy is determined based on the charging power, the first vehicle to be charged, and the minimum required power.

[0012] By adopting the above technical solution, when determining the charging strategy, the total required power, the first minimum required power and the second minimum required power are considered in sequence, so that the charging strategy can be made more reasonable.

[0013] Optionally, if the total power demand is greater than the total power supply, and the first minimum power demand is less than the total power supply, the method further includes: Calculating a first remaining supplyable power based on the first minimum required power and the total supply power; Obtain the historical temporary power demand and historical scheduled power demand of the charging pile; Calculating a temporary demand ratio based on the historical temporary demand power and the historical reserved demand power; Calculate the estimated temporary power demand based on the temporary demand ratio and the total power demand; If the power grid supply is 0, the electric energy production is 0, and the first remaining supplyable power is greater than the estimated temporary demand power, then calculating the second remaining supplyable power based on the first remaining supplyable power and the estimated temporary demand power; The charging strategy is determined based on the second remaining supplyable power, the minimum required power, the information of the vehicle to be charged, and the charging level.

[0014] By adopting the above technical solution, when determining the charging strategy, not only the current vehicles to be charged and the vehicles waiting to be charged are taken into consideration, but also the temporary charging needs are taken into consideration, thereby improving the reliability of the charging strategy.

[0015] Optionally, the determining the charging strategy based on the second remaining supplyable power, the minimum required power, the information of the vehicle to be charged, and the charging level includes: 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 required end time, and the remaining required power to obtain a second sorting result; Determine a remaining power allocation strategy based on the second sorting result, the second remaining supplyable power, and the remaining required power; Determining charging power based on the power grid supply and the power production; The charging strategy is determined based on the remaining power allocation strategy and the charging power.

[0016] By adopting the above technical solution, when there is a second remaining supplyable power, the remaining power allocation strategy is determined according to the second sorting result, thereby improving the reliability of the remaining power allocation strategy and thus improving the reliability of the charging strategy.

[0017] Optionally, the sorting of the vehicles to be charged based on the charging level, the required end time, and the remaining required power to obtain a second sorting result includes: Dividing the vehicles to be charged according to the charging levels to obtain a plurality of vehicle combinations to be charged; Calculating the interval between each two end time points of the demand in each combination of vehicles to be charged; If the interval duration is less than the preset interval duration, the vehicles to be charged are 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 combinations of vehicles to be charged are sorted based on the charging levels to obtain the second sorting result.

[0018] By adopting the above technical solution, when determining the second sorting result, the charging level, the required end time and the remaining required power of the vehicle to be charged are fully considered, so that the second sorting result is more reasonable.

[0019] In a second aspect, the present application provides a charging pile charging control device, which adopts the following technical solution: A charging pile charging control device, comprising: An information acquisition module is used to acquire information about the vehicle to be charged and power supply information, wherein the power supply information includes current power supply information of the power grid, power generation information of the charging pile, and power storage capacity; A level determination module, used to analyze the information of the vehicle to be charged and determine the charging level of the vehicle to be charged; A strategy determination module, configured to determine a charging strategy based on the power supply information, the information of the vehicle to be charged, and the charging level; A charging control module is used to control the charging pile to charge the vehicle to be charged based on the charging strategy.

[0020] 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 power storage capacity are taken into consideration, but also the charging level of the vehicle to be charged is taken into consideration. That is, not only the power supply of the charging pile under various conditions is taken into consideration, but also vehicles to be charged with a higher charging level can obtain better power supply, thereby improving the reliability of charging control of the charging pile.

[0021] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: An electronic device comprises a processor, wherein the processor is coupled to a memory; The memory stores a computer program that can be loaded by the processor and executes the charging pile charging control method described in any one of the first aspects.

[0022] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program that can be loaded by a processor and execute the charging pile charging control method described in any one of the first aspects. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a flow chart of a charging pile charging control method provided in an embodiment of the present application.

[0024] Figure 2 It is a structural block diagram of a charging pile charging control device provided in an embodiment of the present application.

[0025] Figure 3 It is a structural block diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0026] The present application is further described in detail below in conjunction with the accompanying drawings.

[0027] The embodiment of the present application provides a charging pile charging control method, which can be executed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or 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 smart phone, a tablet computer, a desktop computer, etc., but is not limited thereto.

[0028] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0029] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0030] like Figure 1 As shown, a charging pile charging control method, the main process of the method is described as follows (steps S101 to S104): Step S101, obtaining information of the vehicle to be charged and information of the power supply.

[0031] Among them, the information of vehicles to be charged is the information of vehicles that have reserved charging piles for charging. The information of vehicles to be charged includes but is not limited to the basic information of vehicles to be charged and charging information. The basic information is but not limited to the license plate number, vehicle model, etc. The charging information includes the rated charging power, current power, target power, required charging time period, charging pile number and the charging interface of the charging pile. The required charging time period includes the start time of the demand (required item, that is, there must be a start time of the demand) and the end time of the demand (optional item, that is, there may not be an end time of the demand). The power supply information includes the current power supply information of the power grid, the power production information of the charging pile and the power storage capacity. The current power supply information of the power grid is the situation of the power grid supplying power to the charging pile. The power production information is the situation of the charging pile producing power through its own power generation equipment (such as solar panels). The power storage capacity is the amount of power stored in the power storage device of the charging pile. The information of vehicles to be charged and the power supply information are obtained from the charging pile.

[0032] Step S102: Analyze the information of the vehicle to be charged to determine the charging level of the vehicle to be charged.

[0033] Specifically, the information of the vehicle to be charged is analyzed to 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; if there is no demand end time for the vehicle to be charged, determining the target queue vehicle and the demand start time of the target queue vehicle based on the information of the vehicle to be charged, the target queue vehicle being the first queue charging vehicle corresponding to the same charging interface as the vehicle to be charged; determining the demand start time of the target queue vehicle as the demand end time of the vehicle to be charged; determining the required charging time 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 time based on the rated charging power and the required power; calculating the extendable charging time based on the shortest charging time and the required charging time; and determining the charging level of the vehicle to be charged based on the extendable charging time, the required power, the target power, and the required charging time period.

[0034] In this embodiment, the charging information of the vehicle to be charged is searched from the information of the vehicles to be charged. If the demand end time does not exist in the charging information of the vehicle to be charged, the target queue vehicle corresponding to the vehicle to be charged and the demand start time of the target queue vehicle are searched from the information of all the vehicles to be charged, and 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 time = the demand end time - the demand start time, the demand power = the target power - the current power, the preset calculation formula is obtained from the database, the shortest charging time is calculated according to the preset calculation formula, the rated charging power and the demand power, the expandable charging time = the demand charging time - the shortest charging time, and the total overlapping time of each vehicle to be charged and other vehicles to be charged corresponding to the same charging pile is calculated according to the demand charging time period, that is, the total overlapping time.

[0035] The charging level of the vehicle to be charged is compared with the corresponding vehicles to be charged at the same charging pile. The method for determining the charging level of the vehicle to be charged is as follows: 1. If the charging pile 1 corresponds to n vehicles to be charged, for the i-th vehicle to be charged (i=1, 2, ..., n), the extended charging time is T i The power demand is The target power is The total overlap time is O i ; 2. The normalized value calculation formula for the extendable charging time is: in, is the normalized value of the scalable charging time, T max is the maximum value of the extendable charging time of all vehicles to be charged corresponding to a charging pile, T min The minimum value of the extendable charging time of all vehicles to be charged corresponding to a charging pile; The calculation formula for the normalized value of the required power is: in, is the normalized value of the power demand, is the maximum amount of electricity required by all vehicles to be charged corresponding to a charging pile. The minimum power demand of all vehicles to be charged corresponding to a charging pile; The formula for calculating the normalized value of the target power is: in, is the normalized value of the target power, is the maximum value of the target power of all vehicles to be charged corresponding to a charging pile. The minimum value of the target power of all vehicles to be charged corresponding to a charging pile; The normalized value of the total overlap duration is calculated as: in, is the normalized value of the total overlap duration, O max is the maximum value of the total overlapping time of all vehicles to be charged corresponding to a charging pile, O min It is the minimum value of the total overlapping time of all vehicles to be charged corresponding to a charging pile.

[0036] 3. Construct the ideal matrix X: Among them, each row represents a vehicle to be charged, and each column represents an indicator.

[0037] 4. Calculate the positive ideal solution A + And the negative ideal solution A - : 5. Calculate the difference between each vehicle to be charged and the positive ideal solution A + Distance and the negative ideal solution A - Distance 6. Calculate the relative proximity C of each vehicle to be charged i : The greater the value of the relative proximity, the higher the charging level of the vehicle to be charged. The database stores the corresponding relationship between the relative proximity and the charging level, and the charging level is searched from the database according to the relative proximity.

[0038] Step S103: determining a charging strategy based on the power supply information, the information of the vehicle to be charged, and the charging level.

[0039] Specifically, the charging strategy is determined based on the power supply information, the information of the vehicle to be charged and the charging level, including: obtaining the historical power supply information of the power grid and the historical power production information of the charging pile; training the preset machine learning model based on the historical power supply information of the power grid to obtain the power supply prediction model of the power grid; predicting the power supply of the power grid based on the current power supply information of the power grid and the power supply prediction model of the power grid; training the preset machine learning model based on the historical power production information to obtain the 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 supply, power production and power storage; and determining the charging strategy based on the total power supply, the information of the vehicle to be charged and the charging level.

[0040] In this embodiment, historical power supply information of the power grid and historical electricity production information of the charging piles are obtained from the database, and a preset machine learning model is trained with the historical power supply information of the power grid to obtain a power supply prediction model of the power grid, wherein the preset machine learning model may be a neural network model, which is not specifically limited here, and the current power supply information of the power grid is input into the power supply prediction model to obtain the predicted power supply of the power grid, and the preset machine learning model is trained with the historical electricity production information to obtain the electricity production prediction model, and the electricity production information is input into the electricity production prediction model to obtain the predicted electricity production; the total power supply of the charging pile = power supply of the power grid + electricity production + electricity storage, and the charging strategy is determined based on the total power supply, the information of the vehicle to be charged and the charging level.

[0041] More specifically, the charging strategy is determined 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 each charging pile corresponding to the vehicles to be charged; 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 each charging pile corresponding to the vehicles to be charged; 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, The vehicles are sorted from small to large according to the minimum power demand to obtain a first sorting result; the vehicles to be charged are selected from the first sorting result in turn, and the selected vehicles to be charged are determined as the first vehicles to be charged, until the third minimum power demand of the selected first vehicle to be charged meets a preset condition, the preset condition includes that the third minimum power demand is not greater than the total power supply, and 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 power supply of the power grid and the power production; the charging strategy is determined based on the charging power, the first vehicle to be charged and the minimum power demand.

[0042] In this embodiment, the power demand of a vehicle to be charged = target power - current power. The power demand of all vehicles to be charged corresponding to each charging pile is summed to obtain the total power demand of each vehicle to be charged corresponding to each charging pile. For a charging pile, if the total power demand is less than or equal to the total power supply, 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 power demand is met.

[0043] If the total power demand is greater than the total power supply, it means that the charging pile cannot meet the charging needs of all vehicles to be charged. The correspondence between power consumption and driving distance and the current power is found from the information of the vehicles to be charged. The power consumption of the preset driving distance (pre-set, not specifically limited here) is found according to the correspondence. When the power consumption is greater than the current power, the minimum power demand = power consumption - current power. When the power consumption is less than or equal to the current power, the minimum power demand is 0. The first minimum power demand and (the sum of the minimum power demand) of all vehicles to be charged corresponding to each charging pile are calculated. The database stores the correspondence between the variable supply and the charging power. The variable supply = grid supply + electric energy production. If the first minimum power demand and is equal to the total power supply, the charging power is found from the database according to the variable supply. The charging strategy is to charge the vehicles to be charged according to the charging power until the minimum power demand of the vehicles to be charged is met.

[0044] If the first minimum required power sum is greater than the total supply power, the second minimum required power sum of all vehicles to be charged corresponding to each charging level of the charging pile is calculated, and one second minimum required power sum corresponds to one charging level. If the second minimum required power sum is greater than the total supply power, the vehicles to be charged corresponding to the same charging level are sorted from small to large according to the minimum required power to obtain a first sorting result, and one first sorting result corresponds to one charging level. The vehicles to be charged are selected from the first sorting result in sequence, and the selected vehicle to be charged is determined as the first vehicle to be charged, until the third minimum required power sum of the selected first vehicle to be charged meets the preset condition, that is, the third minimum required power sum is equal to the total supply power, or the third minimum required power sum is less than the total supply power, and the value after the third minimum required power sum plus the minimum required power of the next vehicle to be charged in the first sorting result is greater than the total supply power, and the charging power is searched from the database according to the variable supply amount. The charging strategy is to charge the first vehicle to be charged according to the charging power until the minimum required power of the first vehicle to be charged is met, and the remaining vehicles to be charged are not charged for the time being.

[0045] If the second minimum required power sum is equal to the total supplied power, the charging strategy is to charge all vehicles to be charged according to the charging level with the highest charging power until the minimum required power of all vehicles to be charged corresponding to the highest charging level is met, and the remaining vehicles to be charged will not be charged for the time being.

[0046] 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 supplied power, the charging strategy is to charge all vehicles to be charged corresponding to the first charging level according to the charging power until the minimum required power of all vehicles to be charged 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 is continued to be charged according to the above method. No further details are given here.

[0047] More specifically, if the total demand electricity is greater than the total supply electricity, and the first minimum demand electricity sum is less than the total supply electricity, the method also includes: calculating a first remaining supplyable electricity based on the first minimum demand electricity sum and the total supply electricity; obtaining the historical temporary demand electricity and the historical reserved demand electricity of the charging pile; calculating the temporary demand ratio based on the historical temporary demand electricity and the historical reserved demand electricity; calculating the expected temporary demand electricity based on the temporary demand ratio and the total demand electricity; if the grid supply is 0, the electricity production is 0, and the first remaining supplyable electricity is greater than the expected temporary demand electricity, then calculating the second remaining supplyable electricity based on the first remaining supplyable electricity and the expected temporary demand electricity; determining the charging strategy based on the second remaining supplyable electricity, the minimum demand electricity, the information of the vehicle to be charged, and the charging level.

[0048] In this embodiment, if the total demand power is greater than the total supply power, and the first minimum demand power sum is less than the total supply power, then after the minimum demand power of all vehicles to be charged is met, the first remaining supplyable power = total supply power - the first minimum demand power sum, the historical temporary demand power and the historical reserved demand power of the charging pile are obtained from the database, the temporary demand ratio = historical temporary demand power / historical reserved demand power, the expected temporary demand power = temporary demand ratio × total demand power, if the power grid supply is 0, the power production is 0 (indicating that the charging pile has no additional power supply except the previously stored power at this time), and the first remaining supplyable power is greater than the expected temporary demand power, then the charging strategy includes giving priority to the first remaining supplyable power to meet the temporary demand, the second remaining supplyable power after meeting the temporary demand = the first remaining supplyable power - the expected temporary demand power, and the charging strategy is determined based on the second remaining supplyable power, the minimum demand power, the information of the vehicle to be charged and the charging level.

[0049] If the grid supply is 0, the electric energy production is 0, and the first remaining available supply amount is less than or equal to the estimated temporary demand amount, the charging strategy includes no longer allocating the first remaining available supply amount and using the first remaining available supply amount to meet temporary demand.

[0050] If the grid supply is not 0 and / or the electric energy production is not 0, 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 supply can be allocated in the same manner as the second remaining available power supply. No further details will be given here.

[0051] Specifically, a 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, 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 end time of the demand and the remaining required power to obtain a second sorting result; determining a 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 power grid supply and the electric energy production; and determining the charging strategy based on the remaining power allocation strategy and the charging power.

[0052] 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 is equal to the second remaining supplyable power. The variable supply is calculated according to the power supply of the power grid and the power production. The charging power is obtained from the database according to the variable supply. The charging policy includes charging according to the remaining power allocation strategy and the charging power.

[0053] More specifically, the vehicles to be charged are sorted based on the charging level, the end time of demand and the remaining required power 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 the preset interval, the vehicles to be charged are sorted according to the remaining required power; if the interval is greater than or equal to the preset interval, the vehicles to be charged are sorted 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.

[0054] In this embodiment, the vehicles to be charged are divided according to the charging level to obtain a plurality of vehicle combinations to be charged, each vehicle combination to be charged corresponds to a charging level, and for each vehicle combination to be charged, the interval duration between the demand end times of every two vehicles to be charged is calculated, and the vehicles to be charged whose interval duration is less than a preset interval duration (pre-set, not specifically limited here) are sorted from small to large according to the remaining demand power, and for the vehicles to be charged whose interval duration is greater than or equal to the preset interval duration, they are sorted from early to late according to the demand end time, and then the vehicle combinations to be charged are sorted from high to low according to the charging level to obtain a second sorting result.

[0055] It can also be understood that the vehicles to be charged are sorted from high to low according to the charging level. If the priority levels of the vehicles to be charged are the same, the vehicles to be charged are sorted from early to late according to the end time of demand. If the interval duration of the end time of demand corresponding to adjacent vehicles to be charged is less than the preset interval duration, the order of adjacent vehicles to be charged is adjusted according to the rule of remaining demand power from small to large to obtain a second sorting result.

[0056] Step S104: Control the charging pile to charge the vehicle to be charged based on the charging strategy.

[0057] According to the charging strategy, the charging pile is controlled to charge the vehicle to be charged, so that the vehicle to be charged can get better charging service.

[0058] Figure 2 This is a structural block diagram of a charging pile charging control device 200 provided in an embodiment of the present application.

[0059] like Figure 2 As shown, the charging pile charging control device 200 mainly includes: The information acquisition module 201 is used to acquire information about the vehicle to be charged and power supply information, wherein the power supply information includes current power supply information of the power grid, power generation information of the charging pile, and power storage capacity; The 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; The strategy determination module 203 is used to determine the charging strategy based on the power supply information, the information of the vehicle to be charged and the charging level; the charging control module 204 is used to control the charging pile to charge the vehicle to be charged based on the charging strategy.

[0060] As an optional implementation manner of this embodiment, the level determination module 202 is also 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 the rated charging power, the current power, the target power and the required charging time period, the required charging time period including the required start time and the required end time; if the vehicle to be charged does not have a required end time, then determining the target queue vehicle and the required start time of the target queue vehicle based on the information of the vehicle to be charged, the target queue vehicle being the first queue charging vehicle corresponding to the same charging interface as the vehicle to be charged; determining the required start time of the target queue vehicle as the required end time of the vehicle to be charged; determining the required charging duration based on the required end time and the required 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 extendable charging duration based on the shortest charging duration and the required charging duration; determining the charging level of the vehicle to be charged based on the extendable charging duration, the required power, the target power and the required charging time period.

[0061] As an optional implementation manner of this embodiment, the strategy determination module 203 is also specifically used to determine the charging strategy based on power supply information, information of vehicles to be charged and charging level, including: obtaining historical power supply information of the power grid and historical power production information of charging piles; training a preset machine learning model based on the historical power supply information of the power grid to obtain a power supply prediction model of the power grid; predicting the power supply of the power grid based on the current power supply information of the power grid and the power supply prediction model of the power grid; training a preset machine learning model based on historical power production information to obtain a power production prediction model; predicting power production based on power production information and the power production prediction model; calculating the total power supply of the charging pile based on the power grid supply, power production and power storage; determining the charging strategy based on the total power supply, information of vehicles to be charged and charging level.

[0062] As an optional implementation of this embodiment, the strategy determination module 203 is also specifically used to determine the 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 each charging pile corresponding to the vehicles to be charged; 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 each charging pile corresponding to the vehicles to be charged; 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, The vehicles to be charged of the same charging level are sorted from small to large according to the minimum power requirement to obtain a first sorting result; the vehicles to be charged are selected from the first sorting result in turn, and the selected vehicles to be charged are determined as the first vehicle to be charged, until the third minimum power requirement of the selected first vehicle to be charged meets a preset condition, the preset condition includes 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 result is greater than the total power supply; the charging power is determined based on the power supply of the power grid and the power production; the charging strategy is determined based on the charging power, the first vehicle to be charged and the minimum power requirement.

[0063] As an optional implementation mode of this embodiment, the strategy determination module 203 is also specifically used for: if the total demand power is greater than the total supply power, and the first minimum demand power sum is less than the total supply power, then it also includes: calculating the first remaining supplyable power based on the first minimum demand power sum and the total supply power; obtaining the historical temporary demand power and the historical reservation demand power of the charging pile; calculating the temporary demand ratio based on the historical temporary demand power and the historical reservation demand power; calculating the estimated temporary demand power based on the temporary demand ratio and the total demand power; if the power grid supply is 0, the power production is 0, and the first remaining supplyable power is greater than the estimated temporary demand power, then calculating the second remaining supplyable power based on the first remaining supplyable power and the estimated temporary demandable power; determining the charging strategy based on the second remaining supplyable power, the minimum demand power, the information of the vehicle to be charged, and the charging level.

[0064] As an optional implementation mode of this embodiment, the strategy determination module 203 is also specifically used to determine the charging strategy based on the second remaining available power supply, 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 end time of the demand 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 supply and the remaining required power; determining the charging power based on the power grid supply and the power production; determining the charging strategy based on the remaining power allocation strategy and the charging power.

[0065] As an optional implementation of this embodiment, the strategy determination module 203 is also specifically used to sort the vehicles to be charged based on the charging level, the end time of demand and the remaining required power 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 each two end times of demand in each combination of vehicles to be charged; if the interval is less than the preset interval, sorting the vehicles to be charged according to the remaining required power; 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; sorting each combination of vehicles to be charged based on the charging level to obtain a second sorting result.

[0066] In one example, the module in any of the above devices can 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.

[0067] For another example, when the modules in the device can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call a program. For another example, these modules can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0068] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and modules can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0069] Figure 3 A structural block diagram of an electronic device 300 provided in an embodiment of the present application.

[0070] like Figure 3 As shown, the electronic device 300 includes a processor 301 and a memory 302 , and may further include an information input / information output (I / O) interface 303 , one or more of a communication component 304 , and a communication bus 305 .

[0071] The processor 301 is used to control 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 is used to store various types of data to support the operation of the electronic device 300, and these data may include, for example, instructions for any application or method used to operate on the electronic device 300, and data related to the application. The memory 302 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as 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 memory, flash memory, disk or optical disk. One or more.

[0072] The I / O interface 303 provides an interface between the processor 301 and other interface modules, and the above-mentioned other interface modules can be keyboards, mice, buttons, etc. These buttons can be virtual buttons or physical buttons. The communication component 304 is used for wired or wireless communication between the electronic device 300 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more of them, so the corresponding communication component 304 can include: Wi-Fi components, Bluetooth components, NFC components.

[0073] The electronic device 300 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the charging pile charging control method given in the above embodiment.

[0074] The communication bus 305 may include a path to transmit information between the above 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.

[0075] The electronic device 300 may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc., and may also be servers, etc.

[0076] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned charging pile charging control method are implemented.

[0077] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0078] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus.

[0079] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of application involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned application concept. For example, the above features are replaced with (but not limited to) technical features with similar functions applied in the present application.

Claims

1. A charging pile charging control method, characterized in that: include: Obtaining information about the vehicle to be charged and power supply information, wherein the power supply information includes current power supply information of the power grid, power generation information of the charging pile, and power storage capacity; Analyze the information of the vehicle to be charged to determine the charging level of the vehicle to be charged; determining a charging strategy based on the power supply information, the information of the vehicle to be charged, and the charging level; The charging pile is controlled based on the charging strategy to charge the vehicle to be charged.

2. The method according to claim 1, characterized in that The analyzing the information of the vehicle to be charged to determine the charging level of the vehicle to be charged includes: Determining 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 required start time and required end time; If the demand end time does not exist for the vehicle to be charged, a target queuing vehicle and a demand start time for the target queuing vehicle are determined based on the information of the vehicle to be charged, and the target queuing vehicle is the first queuing charging vehicle corresponding to the same charging port 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; Determine the required charging duration based on the required end time and the required start time; Calculating the required power based on the target power and the current power; Calculate the shortest charging time based on the rated charging power and the required power; Calculate the extendable charging time 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 extendable charging time, the required power, the target power, and the required charging time period.

3. The method according to claim 1, characterized in that The determining of the charging strategy based on the power supply information, the information of the vehicle to be charged and the charging level includes: Obtaining historical power supply information of the power grid and historical power production information of the charging pile; Based on the historical power supply information of the power grid, a preset machine learning model is trained to obtain a power supply prediction model of the power grid; Predicting the power supply of the power grid based on the current power supply information of the power grid and the power supply prediction model of the power grid; Training the preset machine learning model based on the historical power production information to obtain a power production prediction model; Predicting the amount of electric energy production based on the electric energy production information and the electric energy production prediction model; Calculate the total power supply of the charging pile based on the power grid supply, the power production and the power storage; The charging strategy is determined based on the total supplied power, the information of the vehicle to be charged, and the charging level.

4. The method according to claim 3, characterized in that The determining the charging strategy based on the total supplied power, the information of the vehicle to be charged and the charging level includes: Calculate the total power demand of each charging pile corresponding to the vehicle to be charged; If the total power demand is greater than the total power supply, the minimum power demand of each vehicle to be charged is calculated based on the information of the vehicle to be charged and the preset driving distance; Calculate the sum of the first minimum power requirements of each charging pile corresponding to the vehicle to be charged; If the first minimum required power sum is greater than the total supplied power, calculating the second minimum required power sum of the vehicles to be charged corresponding to each of the charging levels; If the second minimum required power is greater than the total supplied power, the vehicles to be charged corresponding to the same charging level are sorted from small to large according to the minimum required power to obtain a first sorting result; Select the vehicles to be charged from the first sorting result in sequence, and determine the selected vehicles to be charged as the first vehicles to be charged, until the third minimum required power sum of the selected first vehicle to be charged meets a preset condition, wherein the preset condition includes that the third minimum required power sum is not greater than the total supplied power, and the sum of the third minimum required power sum and the minimum required power sum of the next vehicle to be charged in the first sorting result is greater than the total supplied power; Determining charging power based on the power grid supply and the power production; The charging strategy is determined based on the charging power, the first vehicle to be charged, and the minimum required power.

5. The method according to claim 4, characterized in that If the total power demand is greater than the total power supply, and the first minimum power demand is less than the total power supply, the method further includes: Calculating a first remaining supplyable power based on the first minimum required power and the total supply power; Obtain the historical temporary power demand and historical scheduled power demand of the charging pile; Calculating a temporary demand ratio based on the historical temporary demand power and the historical reserved demand power; Calculate the estimated temporary power demand based on the temporary demand ratio and the total power demand; If the power grid supply is 0, the electric energy production is 0, and the first remaining supplyable power is greater than the estimated temporary demand power, then calculating the second remaining supplyable power based on the first remaining supplyable power and the estimated temporary demand power; The charging strategy is determined based on the second remaining supplyable power, the minimum required power, the information of the vehicle to be charged, and the charging level.

6. The method according to claim 5, characterized in that The determining the charging strategy based on the second remaining supplyable power, the minimum required power, the information of the vehicle to be charged, and the charging level includes: 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 required end time, and the remaining required power to obtain a second sorting result; Determine a remaining power allocation strategy based on the second sorting result, the second remaining supplyable power, and the remaining required power; Determining charging power based on the power grid supply and the power production; The charging strategy is determined based on the remaining power allocation strategy and the charging power.

7. The method according to claim 6, characterized in that The step of sorting the vehicles to be charged based on the charging level, the required end time, and the remaining required power to obtain a second sorting result includes: Dividing the vehicles to be charged according to the charging levels to obtain a plurality of vehicle combinations to be charged; Calculating the interval between each two demand end times in each combination of vehicles to be charged; If the interval duration is less than the preset interval duration, the vehicles to be charged are 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 required end time; The combinations of vehicles to be charged are sorted based on the charging levels to obtain the second sorting result.

8. A charging pile charging control device, characterized in that: include: An information acquisition module is used to acquire information about the vehicle to be charged and power supply information, wherein the power supply information includes current power supply information of the power grid, power generation information of the charging pile, and power storage capacity; A level determination module, used to analyze the information of the vehicle to be charged and determine the charging level of the vehicle to be charged; A strategy determination module, configured to determine a charging strategy based on the power supply information, the information of the vehicle to be charged, and the charging level; A charging control module is used to control the charging pile to charge the vehicle to be charged based on the charging strategy.

9. An electronic device, characterized in that: comprising a processor coupled to a memory; The processor is configured to execute a computer program stored in the memory, so that the electronic device executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The method comprises a computer program or an instruction, which, when executed on a computer, causes the computer to execute the method according to any one of claims 1 to 7.

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