Method and apparatus for recommending charging pile

Abstract

The application discloses a charging pile recommendation method and device, and relates to the technical field of new energy sources, wherein the method comprises the following steps: dividing power grids connected with a plurality of charging piles into X sub-power grids according to regions; then, determining target electricity prices of each charging pile in a region corresponding to each sub-power grid according to the power grid type, first data, second data and third data of each sub-power grid; determining the charging cost of each charging pile in the power grid according to the target electricity price of each charging pile and the distance from a target user to each charging pile; and taking the charging pile with the lowest charging cost as the target charging pile corresponding to the target user. The application solves the technical problem of high charging cost of the charging pile selected by the user due to the lack of consideration of the power grid information of the power grid to which the charging pile belongs in the prior art when the charging pile is selected and recommended for the user.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of new energy, in particular to a charging pile recommendation method and device. BACKGROUND

[0002] With the development of new energy technology, more and more users choose new energy vehicles as a means of transportation. In the prior art, when a user selects a charging pile, the user usually only considers the distance of the charging pile and the sales price of the charging pile at the current time. However, in actual application, the price of the charging pile is dynamically regulated by the supplier. In the distance of the user to the charging pile, in order to avoid the risk of excessive load of the power grid to which the charging pile belongs, the supplier may increase the price of the charging pile to be reached by the user to reduce the transaction volume of the charging pile in the future period of time, so as to achieve the purpose of reducing the load of the power grid to which the charging pile belongs. Since the prior art lacks consideration of the power grid information of the power grid to which the charging pile belongs when recommending a charging pile for a user, the accuracy of recommending a charging pile for a user in the prior art is low.

[0003] At present, no effective solution has been proposed for the above problems. SUMMARY

[0004] The present application provides a charging pile recommendation method and device to at least solve the technical problem of high charging cost of a user selecting a charging pile in the prior art due to the lack of consideration of the power grid information of the power grid to which the charging pile belongs when recommending a charging pile for a user.

[0005] According to one aspect of the present application, a charging pile recommendation method is provided, comprising: dividing the power grid connected with a plurality of charging piles into X sub-power grids according to regions, wherein X is a positive integer; determining a target price of each charging pile in a region corresponding to each sub-power grid in the X sub-power grids according to a power grid type of the sub-power grid, first data, second data and third data, wherein the first data is used to represent charging information of a vehicle in the region corresponding to the sub-power grid, the second data is used to represent power surplus information of a power generation device in the region corresponding to the sub-power grid, the third data is used to represent sales price information of the charging pile in the region corresponding to the sub-power grid, and the target price is a real-time price of the charging pile at a future time; determining a charging cost of each charging pile in the power grid according to the target price of each charging pile and a distance from a target user to each charging pile, wherein the charging cost is used to represent a cost of the target user selecting the corresponding charging pile for charging at the future time; and taking the charging pile with the lowest charging cost as a target charging pile corresponding to the target user.

[0006] Optionally, in the process of determining the target electricity price of each charging pile in the region corresponding to each of the X sub-power grids according to the power grid type of the sub-power grid, the first data, the second data and the third data, the charging pile recommendation method further comprises: determining the power surplus of each charging device in the Y charging devices corresponding to each sub-power grid according to the second data of the sub-power grid, Y being a positive integer; taking the sum of the power surpluses of the Y charging devices corresponding to each sub-power grid as the target power surplus of the sub-power grid; determining the first influence degree of each charging pile in the region corresponding to each sub-power grid according to the first data and the third data of the sub-power grid, wherein the first influence degree is the influence degree of the daily charging price of the charging pile on the daily charging transaction volume; and determining the target electricity price of each charging pile in the region corresponding to each sub-power grid according to the power grid type of the sub-power grid, the target power surplus and the first influence degree of each charging pile.

[0007] Optionally, in the process of determining the target electricity price of each charging pile in the region corresponding to each sub-power grid according to the power grid type of the sub-power grid, the target power surplus and the first influence degree of each charging pile, the charging pile recommendation method further comprises: determining the future power surplus of each sub-power grid according to the power grid type of the sub-power grid, the target power surplus and the power grid scheduling parameter, wherein the future power surplus is the predicted power surplus of the sub-power grid at a future time; classifying all charging piles corresponding to each sub-power grid according to the first influence degree of each charging pile to obtain P charging pile sets corresponding to each sub-power grid, wherein P is a positive integer, and any two charging piles included in each charging pile set have equal first influence degrees; obtaining the first price and the second price of each charging pile set in the P charging pile sets corresponding to each sub-power grid, wherein the first price of each charging pile set is the highest daily charging price corresponding to the charging piles included in the charging pile set, and the second price of each charging pile set is the lowest daily charging price corresponding to the charging piles included in the charging pile set; determining the comprehensive influence degree of each sub-power grid according to the future power surplus of the sub-power grid and a preset power surplus, wherein the preset power surplus is equal to the maximum power surplus value of the sub-power grid, and the comprehensive influence degree is equal to the negative value of the quotient of the future power surplus and the preset power surplus; and determining the target electricity price of each charging pile corresponding to each sub-power grid according to the comprehensive influence degree of each sub-power grid, the power grid type and the first price and the second price of each charging pile set corresponding to the sub-power grid.

[0008] Optionally, before determining the target electricity price of each charging pile in the region corresponding to each of the X sub-power grids according to the power grid type of the sub-power grid, the first data, the second data, and the third data, the charging pile recommendation method further comprises: determining whether the load proportion of the i-th sub-power grid in the X sub-power grids is greater than a preset percentage, wherein the load proportion is the percentage of the sum of the primary load and the secondary load of the sub-power grid in the total load of the sub-power grid; in the case that the load proportion of the i-th sub-power grid is greater than the preset percentage, determining that the power grid type of the i-th sub-power grid is the first type; in the case that the load proportion of the i-th sub-power grid is less than or equal to the preset percentage, determining whether the new energy proportion of the i-th sub-power grid is greater than a preset percentage, wherein the new energy proportion is the percentage of the new energy generated by the power generation equipment in the region corresponding to the sub-power grid in the total power generation; in the case that the new energy proportion of the i-th sub-power grid is greater than the preset percentage, determining that the power grid type of the i-th sub-power grid is the second type; in the case that the new energy proportion of the i-th sub-power grid is less than or equal to the preset percentage, determining that the power grid type of the i-th sub-power grid is the third type.

[0009] Optionally, in the process of determining the target electricity price of each charging pile corresponding to each sub-power grid according to the comprehensive influence degree of each sub-power grid, the power grid type of the sub-power grid, and the first price and the second price of each charging pile set corresponding to the sub-power grid, the charging pile recommendation method further comprises: in the case that the power grid type of the i-th sub-power grid is the first type, determining the first electricity price of each charging pile corresponding to the i-th sub-power grid according to the comprehensive influence degree of the i-th sub-power grid, the first preset threshold, and the daily charging price of each charging pile; in the case that the first electricity price of the charging pile is greater than the first price of the charging pile set to which the charging pile belongs, taking the first price as the target electricity price of the charging pile; in the case that the first electricity price of the charging pile is less than or equal to the first price of the charging pile set to which the charging pile belongs, and the first electricity price is greater than or equal to the second price of the charging pile set to which the charging pile belongs, taking the first electricity price as the target electricity price of the charging pile; in the case that the first electricity price of the charging pile is less than the second price of the charging pile set to which the charging pile belongs, taking the second price as the target electricity price of the charging pile.

[0010] Optionally, in the process of determining the target electricity price of each charging pile corresponding to the i-th sub-grid according to the comprehensive influence degree of each sub-grid, the grid type, and the first price and the second price of each charging pile set corresponding to the sub-grid, the charging pile recommendation method further comprises: in the case that the grid type of the i-th sub-grid is the second type, determining the second electricity price of each charging pile corresponding to the i-th sub-grid according to the comprehensive influence degree of the i-th sub-grid and the daily charging price of each charging pile; in the case that the second electricity price of the charging pile is greater than the first price of the charging pile set to which the charging pile belongs, taking the first price as the target electricity price of the charging pile; in the case that the second electricity price of the charging pile is less than or equal to the first price of the charging pile set to which the charging pile belongs, and the second electricity price is greater than or equal to the second price of the charging pile set to which the charging pile belongs, taking the second electricity price as the target electricity price of the charging pile; in the case that the second electricity price of the charging pile is less than the second price of the charging pile set to which the charging pile belongs, taking the second price as the target electricity price of the charging pile.

[0011] Optionally, in the process of determining the target electricity price of each charging pile corresponding to the i-th sub-grid according to the comprehensive influence degree of each sub-grid, the grid type, and the first price and the second price of each charging pile set corresponding to the sub-grid, the charging pile recommendation method further comprises: in the case that the grid type of the i-th sub-grid is the third type, determining the third electricity price of each charging pile corresponding to the i-th sub-grid according to the comprehensive influence degree of the i-th sub-grid, the daily charging price of each charging pile, the second preset threshold, and the third preset threshold, wherein the first preset threshold, the second preset threshold, and the third preset threshold are all different; in the case that the third electricity price of the charging pile is greater than the first price of the charging pile set to which the charging pile belongs, taking the first price as the target electricity price of the charging pile; in the case that the third electricity price of the charging pile is less than or equal to the first price of the charging pile set to which the charging pile belongs, and the third electricity price is greater than or equal to the second price of the charging pile set to which the charging pile belongs, taking the third electricity price as the target electricity price of the charging pile; in the case that the third electricity price of the charging pile is less than the second price of the charging pile set to which the charging pile belongs, taking the second price as the target electricity price of the charging pile.

[0012] Optionally, in the process of determining the third electricity price of each charging pile corresponding to the i-th sub-power grid according to the comprehensive influence degree of the i-th sub-power grid, the daily charging price of each charging pile, the second preset threshold and the third preset threshold, the charging pile recommendation method further comprises: detecting whether the comprehensive influence degree of the i-th sub-power grid is greater than a preset influence degree; in the case that the comprehensive influence degree of the i-th sub-power grid is greater than the preset influence degree, determining the third electricity price of each charging pile corresponding to the i-th sub-power grid according to the comprehensive influence degree of the i-th sub-power grid, the daily charging price of each charging pile, the second preset threshold; in the case that the comprehensive influence degree of the i-th sub-power grid is less than or equal to the preset influence degree, determining the third electricity price of each charging pile corresponding to the i-th sub-power grid according to the comprehensive influence degree of the i-th sub-power grid, the daily charging price of each charging pile, the third preset threshold.

[0013] Optionally, in the process of determining the charging cost of each charging pile in the power grid according to the target electricity price of each charging pile and the distance from the target user to each charging pile, the charging pile recommendation method further comprises: determining a first sub-cost of each charging pile in the power grid according to the distance from the target user to each charging pile, wherein the first sub-cost is used to represent the time length required by the target user to reach the corresponding charging pile; determining a second sub-cost of each charging pile in the power grid according to the target electricity price of each charging pile and the lack of electricity of the car of the target user, wherein the lack of electricity is used to represent the difference between the total amount of energy stored in the car and the remaining amount of electricity in the car after the target user reaches the corresponding charging pile, and the second sub-cost is used to represent the total price of the target user to the corresponding charging pile to fully charge the car; and performing weighted summation on the first sub-cost and the second sub-cost of each charging pile to obtain the charging cost corresponding to the charging pile.

[0014] According to another aspect of the present application, a charging pile recommendation device is also provided, comprising: a division unit configured to divide a power grid connected with a plurality of charging piles into X sub-power grids according to regions, wherein X is a positive integer; a first determination unit configured to determine a target electricity price of each charging pile in a region corresponding to each of the X sub-power grids according to a power grid type of the sub-power grid, first data, second data and third data, wherein the first data is used to represent charging information of a car in the region corresponding to the sub-power grid, the second data is used to represent power surplus information of a power generation device in the region corresponding to the sub-power grid, the third data is used to represent a sales electricity price information of a charging pile in the region corresponding to the sub-power grid, and the target electricity price is a real-time electricity price of the charging pile at a future time; a second determination unit configured to determine a charging cost of each charging pile in the power grid according to the target electricity price of each charging pile and the distance from a target user to each charging pile, wherein the charging cost is used to represent a cost of the target user to select the corresponding charging pile for charging at the future time; and a third determination unit configured to take the charging pile with the lowest charging cost as a target charging pile corresponding to the target user.

[0015] According to another aspect of the present application, a computer program product is also provided, in which a computer program is stored, and when the computer program runs, the computer program product controls the computer program product to perform the charging pile recommendation method of any one of the above.

[0016] According to another aspect of the present application, an electronic device is also provided, which includes one or more processors and a memory, and the memory is configured to store one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement the charging pile recommendation method of any one of the above.

[0017] In the present application, first, the power grid connected with the plurality of charging piles is divided into X sub-power grids according to regions, where X is a positive integer, then, the target electricity price of each charging pile in the region corresponding to each of the X sub-power grids is determined according to the power grid type, the first data, the second data and the third data of each of the X sub-power grids, where the first data is used to represent the charging information of the automobile in the region corresponding to the sub-power grid, the second data is used to represent the power surplus information of the power generation equipment in the region corresponding to the sub-power grid, the third data is used to represent the sales electricity price information of the charging pile in the region corresponding to the sub-power grid, and the target electricity price is the real-time electricity price of the charging pile at the future time, then, the charging cost of each charging pile in the power grid is determined according to the target electricity price of each charging pile and the distance from the target user to each charging pile, where the charging cost is used to represent the cost of the target user selecting the corresponding charging pile for charging at the future time, and finally, the charging pile with the lowest charging cost is taken as the target charging pile corresponding to the target user.

[0018] From the above, it can be known that the present application realizes the purpose of obtaining the sales electricity price of each charging pile in the region corresponding to each sub-power grid by dividing the power grid connected with different charging piles according to regions, and then determining the target electricity price of each charging pile in the region corresponding to each sub-power grid according to the power grid type, the first data, the second data and the third data and other power grid information, and the target electricity price is the charging price at the future time (i.e. the time when the user drives to the charging pile) predicted according to the power grid information and other factors, and then when recommending the user to select the charging pile, the present application determines the charging cost of the user selecting each charging pile according to the target electricity price of each charging pile at the future time and the distance from the user to each charging pile, thereby avoiding the problem of inaccurate user charging cost evaluation caused by the supplier adjusting the sales electricity price of the charging pile in the process of the user going to the charging pile.

[0019] It can be seen that the application adopts the mode of predicting the electricity price of the future time when the user arrives at the charging pile according to the power grid type, the first data, the second data and the third data and other power grid information of each sub-power grid, thereby realizing the technical effect of improving the accuracy of evaluating the charging cost of the user, and further solving the technical problem of high charging cost of the charging pile selected by the user caused by the lack of considering the power grid information of the power grid to which the charging pile belongs in the prior art when selecting and recommending the charging pile for the user. BRIEF DESCRIPTION OF DRAWINGS

[0020] The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and serve to explain the principles of the application, and do not limit the application. In the drawings:

[0021] Figure 1 is a flowchart of an optional charging pile recommendation method according to an embodiment of the application;

[0022] Figure 2 is a schematic diagram of an optional charging pile recommendation device according to an embodiment of the application;

[0023] Figure 3 is a schematic diagram of an optional electronic device according to an embodiment of the application. DETAILED DESCRIPTION

[0024] In order to enable persons skilled in the art to better understand the application scheme, the technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only a part of the embodiments of the application, but not all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by persons skilled in the art without creative labor should be within the scope of protection of the application.

[0025] It should be noted that the terms "first", "second" and the like in the specification and claims of the application and the above-described drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or a chronological sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not necessarily have to include only those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to the process, method, product or device.

[0026] It should be noted that the related information (including the login information of the target user and the related information of the system resources) and the data (including but not limited to the data for display and the data for analysis) involved in the present application are all information and data authorized by the user or authorized by all parties. For example, an interface is provided between the system and the related users or institutions. Before obtaining the related information, the interface needs to send a request to the aforementioned user or institution, and after receiving the consent information fed back by the aforementioned user or institution, the related information is obtained.

[0027] In addition, the collection, storage, use, processing, transmission, provision, disclosure and application of the related information and related data involved in the present application comply with the relevant laws, regulations and standards of the relevant regions, and necessary security measures are taken, which do not violate public order and good customs. In addition, the present application provides a corresponding operation portal for users to choose to authorize or refuse to authorize. If the user chooses to refuse to authorize, the corresponding expert decision-making process is entered.

[0028] According to an embodiment of the present application, an embodiment of a charging pile recommendation method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0029] The present application provides a charging pile recommendation system (referred to as a recommendation system) for executing the charging pile recommendation method in the present application, Figure 1 is an optional flowchart of a charging pile recommendation method according to an embodiment of the present application, as Figure 1 shown, the method comprises the following steps:

[0030] Step S101, dividing the power grid connected with the plurality of charging piles into X sub-power grids according to regions.

[0031] In step S101, X is a positive integer.

[0032] Optionally, the recommendation system can divide the power grid according to the geographical location of each charging pile corresponding to the power grid. The recommendation system divides the total power grid into X sub-power grids, and then predicts the charging price of each charging pile in the future time in each of the X sub-power grids, thereby achieving the purpose of reducing the workload of the recommendation system prediction, and further reducing the complexity of the recommendation system in the process of processing data, improving the working efficiency of the recommendation system.

[0033] Step S102, determining the target price of each charging pile in the region corresponding to each of the X sub-power grids according to the power grid type, the first data, the second data and the third data of each of the X sub-power grids.

[0034] The first data is used to represent the charging information of the automobile in the area corresponding to the sub-power grid, the second data is used to represent the power surplus information of the power generation device in the area corresponding to the sub-power grid, and the third data is used to represent the selling price information of the charging pile in the area corresponding to the sub-power grid. The target price is the real-time price of the charging pile at the future time.

[0035] Optionally, the first data at least includes the charging transaction volume and the total amount of the selling price of each charging pile in each sub-power grid corresponding area within a preset historical time period, the second data at least includes the time sequence data of the power grid power surplus of each sub-power grid within a preset historical time period, and the third data at least includes the time sequence data of the selling price of each charging pile in each sub-power grid corresponding area within a preset historical time period.

[0036] Optionally, the power grid type of the sub-power grid, the first data, the second data and the third data are analyzed, so as to realize the purpose of predicting the selling price of each charging pile in each sub-power grid at the future time, and then the evaluation accuracy of evaluating the charging cost of the user using different charging piles is improved.

[0037] Step S103, according to the target price of each charging pile and the distance from the target user to each charging pile, the charging cost of each charging pile in the power grid is determined.

[0038] In step S103, the charging cost is used to represent the cost of the target user selecting the corresponding charging pile for charging at the future time.

[0039] Optionally, after obtaining the charging cost of each charging pile in each sub-power grid in the present application, each charging pile in each sub-power grid is sorted according to the charging cost, and the charging pile with the lowest charging cost in the sorting result is taken as the target charging pile selected by the target user, so as to realize the purpose of reducing the charging cost of the user, and then the user experience is improved.

[0040] Step S104, taking the charging pile with the lowest charging cost as the target charging pile corresponding to the target user.

[0041] Optionally, in the field of new energy technology, the importance of new energy vehicles is reflected in the following aspects:

[0042] (1) Clean alternative effect: new energy vehicles, as a substitute for traditional fuel vehicles, can effectively reduce the dependence on fossil fuels and reduce carbon emissions in the field of transportation, thereby promoting the low-carbon transformation of energy structure.

[0043] (2) Energy storage role: New energy vehicles can serve as energy storage devices for the power grid. Through vehicle-to-grid interaction technology, electric new energy vehicles can not only obtain power from the grid, but also feed excess stored power back into the grid, thereby balancing grid load and improving grid stability and reliability.

[0044] (3) Support for new energy systems: The development of new energy vehicles helps support the construction of new energy systems. Through integration with the grid, it can promote the effective use and consumption of new energy and accelerate the construction of a clean, low-carbon, safe and efficient energy system.

[0045] (4) Local consumption of new energy: The use of new energy vehicles can directly consume local grid-generated new energy, helping to improve new energy utilization and reduce energy transmission losses.

[0046] From the above, the present application achieves the purpose of obtaining the sales price of each charging pile in the area corresponding to each sub-grid by dividing the power grid connected with different charging piles by area, and determining the target price of each charging pile in the area corresponding to each sub-grid according to the power grid information such as the power grid type, first data, second data and third data of each sub-grid. The target price is the charging price at the future time (i.e. the time when the user drives to the charging pile) predicted according to the power grid information and other factors. Then, when recommending a charging pile for the user to choose, the present application determines the charging cost of each charging pile for the user according to the target price of each charging pile at the future time and the distance from the user to each charging pile, thereby avoiding the problem of inaccurate user charging cost evaluation caused by the supplier adjusting the sales price of the charging pile during the user's journey to the charging pile.

[0047] Therefore, the present application predicts the price at the future time when the user arrives at the charging pile according to the power grid information such as the power grid type, first data, second data and third data of each sub-grid, thereby achieving the technical effect of improving the accuracy of evaluating the charging cost of the user, and further solving the technical problem of high charging cost of the charging pile selected by the user caused by the lack of consideration of the power grid information of the power grid to which the charging pile belongs in the prior art when recommending a charging pile for the user to choose.

[0048] In an alternative embodiment, the recommendation system first determines, according to the second data of each sub-grid, a power surplus of each charging device in Y charging devices corresponding to the sub-grid, Y being a positive integer, then takes a sum of the power surpluses of the Y charging devices corresponding to the sub-grid as a target power surplus of the sub-grid, then determines, according to the first data and the third data of each sub-grid, a first influence degree of each charging post in a region corresponding to the sub-grid, wherein the first influence degree is an influence degree of a daily charging price of the charging post on a daily charging transaction volume, and finally determines, according to a grid type of each sub-grid, the target power surplus and the first influence degree of each charging post, a target price of each charging post in the region corresponding to the sub-grid.

[0049] Optionally, the recommendation system determines the power surplus of each charging device according to the following formula (1).

[0050] ZP =∑ i Y ＝1 Pi (1)

[0051] In the above formula (1), ZP is a target power surplus of a sub-grid, Pi is a power surplus of an i-th charging device in the sub-grid, wherein the power surplus can be a negative value, and the power surplus is used to represent an excess power that cannot be consumed in the current sub-grid.

[0052] Optionally, the recommendation system determines the first influence degree of each charging post according to the following formula (2).

[0053] YD = (C - Pavg) / (L1 - Lavg) (2)

[0054] In the above formula (2), C is an average value of a daily transaction volume of a charging post in a historical time period when a sales price of the charging post is equal to a daily charging price represented by L1, Pavg is an average value of all daily transaction volumes of the charging post in the historical time period, YD is the first influence degree of the charging post when the sales price of the charging post is equal to the daily charging price represented by L1, L1 is the daily charging price, and Lavg is a historical average price of the charging post in the historical time period, wherein the daily charging price of the charging post is a price of one degree of electricity.

[0055] In an optional embodiment, the recommendation system first determines the future power surplus of each sub-grid according to the grid type, target power surplus and grid scheduling parameters of the sub-grid, wherein the future power surplus is the predicted power surplus of the sub-grid at a future time, then the recommendation system classifies all charging piles corresponding to each sub-grid according to the first influence degree of each charging pile in the sub-grid, to obtain P charging pile sets corresponding to the sub-grid, wherein P is a positive integer, any two charging piles included in each charging pile set have equal first influence degrees, then the recommendation system obtains the first price and the second price of each charging pile set in the P charging pile sets corresponding to each sub-grid, wherein the first price of each charging pile set is the highest daily charging price of the charging piles included in the charging pile set, the second price of each charging pile set is the lowest daily charging price of the charging piles included in the charging pile set, and the recommendation system determines the comprehensive influence degree of each sub-grid according to the future power surplus and the preset power surplus of the sub-grid, wherein the preset power surplus is equal to the maximum power surplus value of the sub-grid, the comprehensive influence degree is equal to the negative value of the quotient of the future power surplus and the preset power surplus, finally, the recommendation system determines the target price of each charging pile corresponding to each sub-grid according to the comprehensive influence degree, the grid type of each sub-grid and the first price and the second price of each charging pile set corresponding to the sub-grid.

[0056] Optionally, the recommendation system can predict the power surplus of each sub-grid in a future period of time according to the grid type, target power surplus and grid scheduling parameters of the sub-grid, thereby obtaining a target power surplus curve graph, wherein the horizontal coordinate of the target power surplus curve graph represents the future time in the future period of time, and the vertical coordinate represents the future power surplus of the sub-grid predicted at a certain future time.

[0057] Optionally, in the case that the target power surplus of the sub-grid where the charging pile is located is greater than the preset power surplus, the recommendation system determines the first price and the second price according to the following formula (3).

[0058] ZM=MAX(J),ZX=MIN(J) (3)

[0059] In the above formula (3), J represents a set of daily charging prices of all charging piles included in a charging pile set.

[0060] Optionally, the recommendation system determines the comprehensive influence degree of each sub-grid according to the following formula (4).

[0061] ZH=-ZP / Ylim (4)

[0062] In the above formula (4), ZH represents the comprehensive influence degree of the sub-grid, ZP represents the future power surplus of the sub-grid at a certain future time, and Ylim is the preset power surplus, wherein the preset power surplus is the maximum power surplus of the sub-grid in a historical time period.

[0063] In an optional embodiment, in the process of detecting the grid type of the sub-grid, the recommendation system first determines whether the load proportion of the i-th sub-grid in the X sub-grids is greater than a preset percentage, wherein the load proportion is the percentage of the sum of the primary load and the secondary load of the sub-grid in the total load of the sub-grid, and then in the case where the load proportion of the i-th sub-grid is greater than the preset percentage, the recommendation system determines that the grid type of the i-th sub-grid is the first type, and in the case where the load proportion of the i-th sub-grid is less than or equal to the preset percentage, the recommendation system determines whether the new energy proportion of the i-th sub-grid is greater than a preset percentage, wherein the new energy proportion is the percentage of the new energy generated by the power generation equipment in the region corresponding to the sub-grid in the total power generation.

[0064] In the case where the new energy proportion of the i-th sub-grid is greater than the preset percentage, the recommendation system determines that the grid type of the i-th sub-grid is the second type, and in the case where the new energy proportion of the i-th sub-grid is less than or equal to the preset percentage, the recommendation system determines that the grid type of the i-th sub-grid is the third type.

[0065] Optionally, the primary load of the grid represents the power load generated by large industrial enterprises and public facilities, the secondary load of the grid represents the power load generated by small and medium-sized industrial enterprises and commercial buildings, and the preset percentage can be set to 10%. In the case where the load proportion of the i-th sub-grid is greater than 10%, the i-th sub-grid is determined to be of the critical load type, in the case where the load proportion of the i-th sub-grid is less than or equal to 10% and the new energy proportion of the i-th sub-grid is greater than 10%, the i-th sub-grid is determined to be of the new energy type, and in the case where the load proportion of the i-th sub-grid is less than or equal to 10% and the new energy proportion of the i-th sub-grid is less than or equal to 10%, the i-th sub-grid is determined to be of the conventional type.

[0066] In an optional embodiment, in the case where the grid type of the i-th sub-grid is the first type, the recommendation system determines the first electricity price of each charging pile corresponding to the i-th sub-grid according to the comprehensive influence degree of the i-th sub-grid, a first preset threshold, and the daily charging price of each charging pile, and then determines the target electricity price of the charging pile according to the first electricity price of each charging pile and the size comparison result of the first price and the second price of the charging pile set to which the charging pile belongs.

[0067] Optionally, in a case that the first electricity price of the charging pile is greater than the first price of the charging pile set to which the charging pile belongs, the recommendation system takes the first price as the target electricity price of the charging pile; in a case that the first electricity price of the charging pile is less than or equal to the first price of the charging pile set to which the charging pile belongs, and the first electricity price is greater than or equal to the second price of the charging pile set to which the charging pile belongs, the recommendation system takes the first electricity price as the target electricity price of the charging pile; in a case that the first electricity price of the charging pile is less than the second price of the charging pile set to which the charging pile belongs, the recommendation system takes the second price as the target electricity price of the charging pile.

[0068] Optionally, the recommendation system determines the target electricity price of each charging pile according to the following formula (5).

[0069]

[0070] In the above formula (5), G1 is the target electricity price of the charging pile in the region corresponding to the first type of power grid, and 0.6 is the first preset threshold.

[0071] In an optional embodiment, in a case that the power grid type of the i-th sub-power grid is the second type, the recommendation system determines the second electricity price of each charging pile corresponding to the i-th sub-power grid according to the comprehensive influence degree of the i-th sub-power grid and the daily charging price of each charging pile, and then determines the target electricity price of the charging pile through the first electricity price of each charging pile and the size comparison result of the first price and the second price of the charging pile set to which the charging pile belongs.

[0072] Optionally, in a case that the second electricity price of the charging pile is greater than the first price of the charging pile set to which the charging pile belongs, the recommendation system takes the first price as the target electricity price of the charging pile; in a case that the second electricity price of the charging pile is less than or equal to the first price of the charging pile set to which the charging pile belongs, and the second electricity price is greater than or equal to the second price of the charging pile set to which the charging pile belongs, the recommendation system takes the second electricity price as the target electricity price of the charging pile; in a case that the second electricity price of the charging pile is less than the second price of the charging pile set to which the charging pile belongs, the recommendation system takes the second price as the target electricity price of the charging pile.

[0073] Optionally, the recommendation system determines the target electricity price of each charging pile according to the following formula (6).

[0074]

[0075] In the above formula (6), G2 is the target electricity price of the charging pile in the region corresponding to the second type of power grid.

[0076] In an alternative embodiment, in the case that the grid type of the i-th sub-grid is the third type, the recommendation system determines the third electricity price of each charging pile corresponding to the i-th sub-grid according to the comprehensive influence degree of the i-th sub-grid, the daily charging price of each charging pile, the second preset threshold, and the third preset threshold, wherein the first preset threshold, the second preset threshold, and the third preset threshold are all different; then, the recommendation system determines the target electricity price of the charging pile by comparing the first electricity price of each charging pile with the first price and the second price of the charging pile set to which the charging pile belongs.

[0077] Optionally, in the case that the third electricity price of the charging pile is greater than the first price of the charging pile set to which the charging pile belongs, the recommendation system takes the first price as the target electricity price of the charging pile; in the case that the third electricity price of the charging pile is less than or equal to the first price of the charging pile set to which the charging pile belongs, and the third electricity price is greater than or equal to the second price of the charging pile set to which the charging pile belongs, the recommendation system takes the third electricity price as the target electricity price of the charging pile; in the case that the third electricity price of the charging pile is less than the second price of the charging pile set to which the charging pile belongs, the recommendation system takes the second price as the target electricity price of the charging pile.

[0078] In an alternative embodiment, the recommendation system first detects whether the comprehensive influence degree of the i-th sub-grid is greater than a preset influence degree, and then, in the case that the comprehensive influence degree of the i-th sub-grid is greater than the preset influence degree, the recommendation system determines the third electricity price of each charging pile corresponding to the i-th sub-grid according to the comprehensive influence degree of the i-th sub-grid, the daily charging price of each charging pile, and the second preset threshold; in the case that the comprehensive influence degree of the i-th sub-grid is less than or equal to the preset influence degree, the recommendation system determines the third electricity price of each charging pile corresponding to the i-th sub-grid according to the comprehensive influence degree of the i-th sub-grid, the daily charging price of each charging pile, and the third preset threshold.

[0079] Optionally, the recommendation system determines the target electricity price of each charging pile according to the following formula (7).

[0080]

[0081] In the above formula (7), G3 is the target electricity price of the charging pile in the region corresponding to the first type of grid, 0.8 is the second preset threshold, and 1.2 is the third preset threshold.

[0082] In an optional embodiment, the recommendation system first determines a first sub-cost of each charging pile in the power grid according to a distance of the target user to the charging pile, wherein the first sub-cost is used to represent a time length required by the target user to reach the corresponding charging pile, then determines a second sub-cost of each charging pile according to a lack of electricity of the car of the target user and a target electricity price of each charging pile, wherein the lack of electricity is used to represent a difference between a total amount of electricity stored in the car and a remaining amount of electricity of the car after the target user reaches the corresponding charging pile, and the second sub-cost is used to represent a total price of the target user to the corresponding charging pile to fully charge the car, and finally, the recommendation system performs a weighted sum on the first sub-cost and the second sub-cost of each charging pile to obtain a charging cost corresponding to the charging pile.

[0083] Optionally, the higher the first sub-cost, the longer the time length required by the target user to reach the corresponding charging pile, i.e., the farther the distance required by the target user to reach the corresponding charging pile. The target charging pile determined by the technical solution of the present application is the charging pile with a lower first sub-cost among the multiple charging piles that the target user can reach, thereby ensuring that the target charging pile selected by the user has a shorter arrival time length and a shorter arrival distance, thereby improving the user experience.

[0084] Moreover, the target charging pile selected by the user has a shorter arrival time length and a shorter arrival distance, which can reduce the amount of electricity consumed by the target user in the process of reaching the target charging pile, thereby reducing the size of the lack of electricity at the corresponding time when the target user reaches the target charging pile, and further reducing the charging cost of the user.

[0085] As can be seen from the above, the present application divides the power grid connected with different charging piles by region, and then determines the target electricity price of each charging pile in the region corresponding to each sub-power grid according to the power grid type, the first data, the second data, and the third data, and other power grid information of each sub-power grid, thereby achieving the purpose of obtaining the sales electricity price of each charging pile in the region corresponding to each sub-power grid. The target electricity price is the charging price at the future time (i.e., the time when the user drives to the charging pile) predicted according to the power grid information and other factors. Then, when recommending the user to select the charging pile, the present application determines the charging cost of the user to select each charging pile according to the target electricity price of each charging pile at the future time and the distance of the user to each charging pile, thereby avoiding the problem of inaccurate user charging cost evaluation caused by the adjustment of the sales electricity price of the charging pile by the supplier in the process of the user going to the charging pile.

[0086] It can be seen that the application adopts the mode of predicting the electricity price of the future time when the user arrives at the charging pile according to the power grid information such as the power grid type, the first data, the second data and the third data of each sub-power grid, thereby realizing the technical effect of improving the accuracy of evaluating the charging cost of the user, and further solving the technical problem of high charging cost of the charging pile selected by the user caused by the lack of consideration of the power grid information of the power grid to which the charging pile belongs when the charging pile is selected and recommended for the user.

[0087] According to another aspect of the embodiment of the application, a charging pile recommendation device is also provided, Figure 2 is a schematic diagram of an optional charging pile recommendation device according to the embodiment of the application, as Figure 2 shown, the charging pile recommendation device comprises a division unit 201, a first determination unit 202, a second determination unit 203 and a third determination unit 204.

[0088] Optionally, the division unit is configured to divide the power grid connected with the plurality of charging piles into X sub-power grids according to regions, wherein X is a positive integer; the first determination unit is configured to determine a target electricity price of each charging pile in a region corresponding to each sub-power grid in the X sub-power grids according to a power grid type of the sub-power grid, first data, second data and third data of the sub-power grid, wherein the first data is used to represent charging information of an automobile in the region corresponding to the sub-power grid, the second data is used to represent power surplus information of a power generation device in the region corresponding to the sub-power grid, the third data is used to represent sales price information of the charging pile in the region corresponding to the sub-power grid, and the target electricity price is a real-time electricity price of the charging pile at a future time; the second determination unit is configured to determine a charging cost of each charging pile in the power grid according to the target electricity price of each charging pile and a distance from a target user to each charging pile, wherein the charging cost is used to represent a cost of the target user selecting the corresponding charging pile for charging at the future time; and the third determination unit is configured to take the charging pile with the lowest charging cost as a target charging pile corresponding to the target user.

[0089] In an optional embodiment, the first determination unit comprises a first determination sub-unit, a second determination sub-unit, a third determination sub-unit and a fourth determination sub-unit.

[0090] Optionally, the first determining subunit is configured to determine, according to the second data of each sub-power grid, a power surplus of each charging device in Y charging devices corresponding to the sub-power grid, Y being a positive integer; the second determining subunit is configured to take a sum of the power surpluses of the Y charging devices corresponding to each sub-power grid as a target power surplus of the sub-power grid; the third determining subunit is configured to determine, according to the first data and the third data of each sub-power grid, a first influence degree of each charging pile in a region corresponding to the sub-power grid, wherein the first influence degree is an influence degree of a daily charging price of the charging pile on a daily charging transaction volume; and the fourth determining subunit is configured to determine, according to the power grid type, the target power surplus of each sub-power grid, and the first influence degree of each charging pile in the region corresponding to the sub-power grid, a target price of each charging pile in the region corresponding to the sub-power grid.

[0091] In an optional embodiment, the fourth determining subunit comprises a first determining module, a second determining module, a first obtaining module, a third determining module, and a fourth determining module.

[0092] Optionally, the first determining module is configured to determine, according to the power grid type, the target power surplus, and a power grid dispatching parameter of each sub-power grid, a future power surplus of the sub-power grid, wherein the future power surplus is a predicted power surplus of the sub-power grid at a future time; the second determining module is configured to classify, according to the first influence degree of each charging pile corresponding to each sub-power grid, all charging piles corresponding to the sub-power grid, to obtain P charging pile sets corresponding to the sub-power grid, wherein P is a positive integer, and any two charging piles included in each charging pile set have equal first influence degrees; the first obtaining module is configured to obtain a first price and a second price of each charging pile set in the P charging pile sets corresponding to each sub-power grid, wherein the first price of each charging pile set is a highest daily charging price of a charging pile included in the charging pile set, and the second price of each charging pile set is a lowest daily charging price of a charging pile included in the charging pile set; the third determining module is configured to determine, according to the future power surplus and a preset power surplus of each sub-power grid, a comprehensive influence degree of the sub-power grid, wherein the preset power surplus is equal to a maximum power surplus value of the sub-power grid, and the comprehensive influence degree is equal to a negative value of a quotient of the future power surplus and the preset power surplus; and the fourth determining module is configured to determine, according to the comprehensive influence degree, the power grid type of each sub-power grid, and the first price and the second price of each charging pile set corresponding to the sub-power grid, a target price of each charging pile corresponding to the sub-power grid.

[0093] In an optional embodiment, the charging pile recommendation device further comprises a first judging unit, a fourth determining unit, a second judging unit, a fifth determining unit, and a sixth determining unit.

[0094] Optionally, the first judging unit is configured to judge whether a load proportion of an i-th sub-power grid in the X sub-power grids is greater than a preset percentage, where the load proportion is a percentage of a sum of a primary load and a secondary load of the sub-power grid in total load of the sub-power grid; the fourth determining unit is configured to determine that a power grid type of the i-th sub-power grid is the first type when the load proportion of the i-th sub-power grid is greater than the preset percentage; the second judging unit is configured to judge whether a new energy proportion of the i-th sub-power grid is greater than the preset percentage when the load proportion of the i-th sub-power grid is less than or equal to the preset percentage, where the new energy proportion is a percentage of new energy power generated by a power generation device in a total power generation in a region corresponding to the sub-power grid; the fifth determining unit is configured to determine that the power grid type of the i-th sub-power grid is the second type when the new energy proportion of the i-th sub-power grid is greater than the preset percentage; and the sixth determining unit is configured to determine that the power grid type of the i-th sub-power grid is the third type when the new energy proportion of the i-th sub-power grid is less than or equal to the preset percentage.

[0095] In an optional embodiment, the fourth determining module comprises a first determining sub-module, a second determining sub-module, a third determining sub-module, and a fourth determining sub-module.

[0096] Optionally, the first determining sub-module is configured to determine, when the power grid type of the i-th sub-power grid is the first type, a first electricity price of each charging pile corresponding to the i-th sub-power grid according to the comprehensive influence degree of the i-th sub-power grid, the first preset threshold, and a daily charging price of each charging pile; the second determining sub-module is configured to take, when the first electricity price of the charging pile is greater than a first price of a charging pile set to which the charging pile belongs, the first price as a target electricity price of the charging pile; the third determining sub-module is configured to take, when the first electricity price of the charging pile is less than or equal to the first price of the charging pile set to which the charging pile belongs and the first electricity price is greater than or equal to a second price of the charging pile set to which the charging pile belongs, the first electricity price as the target electricity price of the charging pile; and the fourth determining sub-module is configured to take, when the first electricity price of the charging pile is less than the second price of the charging pile set to which the charging pile belongs, the second price as the target electricity price of the charging pile.

[0097] In an optional embodiment, the fourth determining module comprises a fifth determining sub-module, a sixth determining sub-module, a seventh determining sub-module, and an eighth determining sub-module.

[0098] Optionally, the fifth determining sub-module is configured to determine, when the grid type of the i-th sub-grid is the second type, a second electricity price of each charging pile corresponding to the i-th sub-grid according to the comprehensive influence degree of the i-th sub-grid and the daily charging price of each charging pile; the sixth determining sub-module is configured to, when the second electricity price of the charging pile is greater than the first price of the charging pile set to which the charging pile belongs, take the first price as the target electricity price of the charging pile; the seventh determining sub-module is configured to, when the second electricity price of the charging pile is less than or equal to the first price of the charging pile set to which the charging pile belongs and the second electricity price is greater than or equal to the second price of the charging pile set to which the charging pile belongs, take the second electricity price as the target electricity price of the charging pile; and the eighth determining sub-module is configured to, when the second electricity price of the charging pile is less than the second price of the charging pile set to which the charging pile belongs, take the second price as the target electricity price of the charging pile.

[0099] In an optional embodiment, the fourth determining module comprises a ninth determining sub-module, a tenth determining sub-module, an eleventh determining sub-module and a twelfth determining sub-module.

[0100] Optionally, the ninth determining sub-module is configured to, when the grid type of the i-th sub-grid is the third type, determine a third electricity price of each charging pile corresponding to the i-th sub-grid according to the comprehensive influence degree of the i-th sub-grid, the daily charging price of each charging pile, a second preset threshold and a third preset threshold, wherein the first preset threshold, the second preset threshold and the third preset threshold are all different; the tenth determining sub-module is configured to, when the third electricity price of the charging pile is greater than the first price of the charging pile set to which the charging pile belongs, take the first price as the target electricity price of the charging pile; the eleventh determining sub-module is configured to, when the third electricity price of the charging pile is less than or equal to the first price of the charging pile set to which the charging pile belongs and the third electricity price is greater than or equal to the second price of the charging pile set to which the charging pile belongs, take the third electricity price as the target electricity price of the charging pile; and the twelfth determining sub-module is configured to, when the third electricity price of the charging pile is less than the second price of the charging pile set to which the charging pile belongs, take the second price as the target electricity price of the charging pile.

[0101] In an optional embodiment, the ninth determining sub-module comprises a detection module, a first determination module and a second determination module.

[0102] Optionally, the detection module is configured to detect whether the comprehensive influence degree of the i-th sub-power grid is greater than a preset influence degree; the first determination module is configured to determine, in a case where the comprehensive influence degree of the i-th sub-power grid is greater than the preset influence degree, a third electricity price of each charging pile corresponding to the i-th sub-power grid according to the comprehensive influence degree of the i-th sub-power grid, a daily charging price of each charging pile, and a second preset threshold; and the second determination module is configured to determine, in a case where the comprehensive influence degree of the i-th sub-power grid is less than or equal to the preset influence degree, the third electricity price of each charging pile corresponding to the i-th sub-power grid according to the comprehensive influence degree of the i-th sub-power grid, the daily charging price of each charging pile, and a third preset threshold.

[0103] In an optional embodiment, the second determination unit comprises a fifth determination sub-unit, a sixth determination sub-unit, and a summation sub-unit.

[0104] Optionally, the fifth determination sub-unit is configured to determine a first sub-cost of each charging pile according to a distance from the target user to the charging pile, wherein the first sub-cost is used to represent a time length required for the target user to reach the corresponding charging pile; the sixth determination sub-unit is configured to determine a second sub-cost of each charging pile according to a lack of electric quantity of the car of the target user and a target electricity price of each charging pile, wherein the lack of electric quantity is used to represent a difference between a total electric quantity stored in the car and a remaining electric quantity of the car after the target user reaches the corresponding charging pile, and the second sub-cost is used to represent a total price for the target user to fully charge the car at the corresponding charging pile; and the summation sub-unit is configured to perform weighted summation on the first sub-cost and the second sub-cost of each charging pile to obtain a charging cost corresponding to the charging pile.

[0105] As can be seen from the above, by dividing the power grid connected with different charging piles by region, and then determining the target electricity price of each charging pile in the region corresponding to each sub-power grid according to the power grid information such as the power grid type, the first data, the second data, and the third data of each sub-power grid, the application achieves the purpose of obtaining the sales electricity price of each charging pile in the region corresponding to each sub-power grid. The target electricity price is the charging price at the future time (i.e., the time when the user drives to the charging pile) predicted according to the power grid information and other factors. Then, when recommending the user to select the charging pile, the application determines the charging cost of the user selecting each charging pile according to the target electricity price of each charging pile at the future time and the distance from the user to each charging pile, thereby avoiding the problem of inaccurate user charging cost evaluation caused by the supplier adjusting the sales electricity price of the charging pile during the user's journey to the charging pile.

[0106] It can be seen that the application adopts the mode of predicting the electricity price of the future time when the user arrives at the charging pile according to the power grid type, the first data, the second data and the third data and other power grid information of each sub-power grid, thereby realizing the technical effect of improving the accuracy of evaluating the charging cost of the user, and further solving the technical problem of high charging cost of the charging pile selected by the user caused by the lack of consideration of the power grid information of the power grid to which the charging pile belongs when the charging pile is selected and recommended for the user.

[0107] According to another aspect of the embodiments of the application, a computer program product is also provided, which comprises a stored computer program, wherein the computer program product controls the computer program to execute the cross-system resource access method of any one of the above when the computer program runs.

[0108] According to another aspect of the embodiments of the application, an electronic device is also provided, which comprises a processor and a memory for storing executable instructions of the processor, wherein the processor is configured to execute the charging pile recommendation method of any one of the above via executing the executable instructions.

[0109] Optionally, Figure 3 is a schematic diagram of an optional electronic device according to the embodiments of the application, as Figure 3 shown, the embodiments of the application provide an electronic device, which comprises a processor, a memory and a program stored on the memory and executable on the processor, and the processor implements the charging pile recommendation method of any one of the above when executing the program.

[0110] The above-mentioned embodiments or examples disclosed in the application are not exhaustive, and only illustrate part of the embodiments or examples, and are not specific limitations on the protection scope of the application. In the case of no contradiction, each step in a certain embodiment or example in the application can be implemented as an independent example, and the steps can be combined arbitrarily, for example, the scheme after removing part of the steps in a certain embodiment or example can be implemented as an independent example, and the order of the steps in a certain embodiment or example can be exchanged arbitrarily, in addition, the optional mode or optional example in a certain embodiment or example can be combined arbitrarily; in addition, the embodiments or examples can be combined arbitrarily, for example, part or all steps of different embodiments or examples can be combined arbitrarily, a certain embodiment or example can be combined with the optional mode or optional example of other embodiments or examples.

[0111] In the above-mentioned embodiments of the application, the description of each embodiment has its own emphasis, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0112] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 one or more flow or blocks

[0113] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 one or more flow or blocks

[0114] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 one or more flow or blocks

[0115] In one typical configuration, the computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory. The memory can include non-persistent memory, random access memory (RAM), and / or non-volatile memory such as read-only memory (ROM) or flash memory, among others. The memory is an example of computer-readable media.

[0116] Computer-readable media includes permanent and non-permanent, movable and non-movable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible to a computing device. According to the definition herein, computer-readable media does not include transitory media such as modulated data signals and carriers.

[0117] It should also be noted that the terms "comprising", "containing", or any other variant thereof are intended to cover non-exclusive inclusions, such that a process, method, article or apparatus that comprises a list of elements does not only include those elements, but can also include other elements not expressly listed or inherent to such process, method, article or apparatus. Without more limitations, the element defined by the phrase "comprising a" does not exclude the presence of additional identical elements in the process, method, article or apparatus that includes the element.

[0118] Those skilled in the art will appreciate that embodiments of the present application can be provided as a method, system or computer program product. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) containing computer usable program code.

[0119] The above merely provides embodiments of the present application and is not intended to limit the present application. Various modifications and changes can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the scope of the claims of the present application.

Claims

1. A method of recommending a charging station, characterized by, The method comprises the steps of: dividing the power grid connected with a plurality of charging piles into X sub-power grids according to regions, wherein X is a positive integer; determining a target electricity price of each charging pile in a region corresponding to each of the X sub-power grids according to a power grid type, first data, second data and third data of the sub-power grid, wherein the first data is used to represent charging information of automobiles in the region corresponding to the sub-power grid, the second data is used to represent power surplus information of power generation equipment in the region corresponding to the sub-power grid, the third data is used to represent a selling electricity price information of charging piles in the region corresponding to the sub-power grid, and the target electricity price is a real-time electricity price of the charging pile at a future time; determining a charging cost of each charging pile in the power grid according to the target electricity price of each charging pile and a distance from a target user to each charging pile, wherein the charging cost is used to represent a cost of the target user in selecting the corresponding charging pile for charging at the future time; taking the charging pile with the lowest charging cost as a target charging pile corresponding to the target user; wherein, before determining the target electricity price of each charging pile in the region corresponding to each of the X sub-power grids according to the power grid type, the first data, the second data and the third data of the sub-power grid, the method further comprises the steps of: judging whether a load proportion of an i-th sub-power grid in the X sub-power grids is greater than a preset percentage, wherein the load proportion is a percentage of a sum of a first-level load and a second-level load of the sub-power grid in a total load of the sub-power grid; in a case where the load proportion of the i-th sub-power grid is greater than the preset percentage, determining that a power grid type of the i-th sub-power grid is a first type; in a case where the load proportion of the i-th sub-power grid is less than or equal to the preset percentage, judging whether a new energy proportion of the i-th sub-power grid is greater than the preset percentage, wherein the new energy proportion is a percentage of new energy power generated by power generation equipment in the region corresponding to the sub-power grid in total power generation; in a case where the new energy proportion of the i-th sub-power grid is greater than the preset percentage, determining that the power grid type of the i-th sub-power grid is a second type; in a case where the new energy proportion of the i-th sub-power grid is less than or equal to the preset percentage, determining that the power grid type of the i-th sub-power grid is a third type.

2. The charging-pole recommendation method according to claim 1, characterized by, determining the target electricity price of each charging pile in the region corresponding to each of the X sub-power grids according to the power grid type, the first data, the second data and the third data of the sub-power grid, comprises the steps of: determining a power surplus of each charging device in Y charging devices corresponding to each of the sub-power grids according to the second data of the sub-power grid, wherein Y is a positive integer; taking a sum of the power surpluses of the Y charging devices corresponding to each of the sub-power grids as a target power surplus of the sub-power grid; determining a first influence degree of each charging pile in the region corresponding to each of the sub-power grids according to the first data and the third data of the sub-power grid, wherein the first influence degree is an influence degree of a daily charging price of the charging pile on a daily charging transaction volume of the charging pile. Determine a target electricity price of each charging pile in a region corresponding to each sub-grid according to a grid type, a target power surplus of each sub-grid, and a first influence degree of each charging pile.

3. The method of recommending charging posts according to claim 2, wherein, Determine a target electricity price of each charging pile in a region corresponding to each sub-grid according to a grid type, a target power surplus of each sub-grid, and a first influence degree of each charging pile, including: Determine a future power surplus of each sub-grid according to a grid type, a target power surplus of each sub-grid, and a grid scheduling parameter, wherein the future power surplus is a predicted power surplus of the sub-grid at the future time; Classify all charging piles corresponding to each sub-grid according to a first influence degree of each charging pile to obtain P charging pile sets corresponding to each sub-grid, wherein P is a positive integer, and any two charging piles included in each charging pile set have equal first influence degrees; Obtain a first price and a second price of each charging pile set in the P charging pile sets corresponding to each sub-grid, wherein the first price of each charging pile set is a highest daily charging price corresponding to a charging pile included in the charging pile set, and the second price of each charging pile set is a lowest daily charging price corresponding to a charging pile included in the charging pile set; Determine a comprehensive influence degree of each sub-grid according to a future power surplus of the sub-grid and a preset power surplus, wherein the preset power surplus is equal to a maximum power surplus value of the sub-grid, and the comprehensive influence degree is equal to a negative value corresponding to a quotient of the future power surplus and the preset power surplus; Determine a target electricity price of each charging pile corresponding to each sub-grid according to a comprehensive influence degree of each sub-grid, a grid type, and a first price and a second price of each charging pile set corresponding to the sub-grid. 4.The method of recommending charging stations according to claim 1, wherein, Determine a target electricity price of each charging pile corresponding to each sub-grid according to a comprehensive influence degree of each sub-grid, a grid type, and a first price and a second price of each charging pile set corresponding to the sub-grid, including: In a case where the grid type of the i-th sub-grid is the first type, determine a first electricity price of each charging pile corresponding to the i-th sub-grid according to the comprehensive influence degree of the i-th sub-grid, a first preset threshold, and a daily charging price of each charging pile; In a case where the first electricity price of the charging pile is greater than the first price of the charging pile set to which the charging pile belongs, take the first price as the target electricity price of the charging pile; In a case where the first electricity price of the charging pile is less than or equal to the first price of the charging pile set to which the charging pile belongs, and the first electricity price is greater than or equal to the second price of the charging pile set to which the charging pile belongs, take the first electricity price as the target electricity price of the charging pile; In a case where the first electricity price of the charging pile is less than the second price of the charging pile set to which the charging pile belongs, take the second price as the target electricity price of the charging pile. 5.The method of recommending charging stations according to claim 1, wherein, Determine a target electricity price of each charging pile corresponding to each sub-grid according to a comprehensive influence degree of each sub-grid, a grid type, and a first price and a second price of each charging pile set corresponding to the sub-grid, including: In a case where the grid type of the i-th sub-grid is the second type, a second electricity price of each charging pile corresponding to the i-th sub-grid is determined according to the comprehensive influence degree of the i-th sub-grid and the daily charging price of each charging pile; In a case where the second electricity price of the charging pile is greater than the first price of the charging pile set to which the charging pile belongs, the first price is taken as the target electricity price of the charging pile; In a case where the second electricity price of the charging pile is less than or equal to the first price of the charging pile set to which the charging pile belongs, and the second electricity price is greater than or equal to the second price of the charging pile set to which the charging pile belongs, the second electricity price is taken as the target electricity price of the charging pile; In a case where the second electricity price of the charging pile is less than the second price of the charging pile set to which the charging pile belongs, the second price is taken as the target electricity price of the charging pile. 6.The method of recommending charging stations according to claim 1, wherein, The target electricity price of each charging pile corresponding to the i-th sub-grid is determined according to the comprehensive influence degree of the i-th sub-grid, the daily charging price of each charging pile, the second preset threshold and the third preset threshold, comprising: In a case where the grid type of the i-th sub-grid is the third type, a third electricity price of each charging pile corresponding to the i-th sub-grid is determined according to the comprehensive influence degree of the i-th sub-grid, the daily charging price of each charging pile, the second preset threshold and the third preset threshold, wherein the first preset threshold, the second preset threshold and the third preset threshold are all different; In a case where the third electricity price of the charging pile is greater than the first price of the charging pile set to which the charging pile belongs, the first price is taken as the target electricity price of the charging pile; In a case where the third electricity price of the charging pile is less than or equal to the first price of the charging pile set to which the charging pile belongs, and the third electricity price is greater than or equal to the second price of the charging pile set to which the charging pile belongs, the third electricity price is taken as the target electricity price of the charging pile; In a case where the third electricity price of the charging pile is less than the second price of the charging pile set to which the charging pile belongs, the second price is taken as the target electricity price of the charging pile.

7. The method of recommending charging posts according to claim 6, wherein, The third electricity price of each charging pile corresponding to the i-th sub-grid is determined according to the comprehensive influence degree of the i-th sub-grid, the daily charging price of each charging pile, the second preset threshold and the third preset threshold, comprising: It is detected whether the comprehensive influence degree of the i-th sub-grid is greater than a preset influence degree; In a case where the comprehensive influence degree of the i-th sub-grid is greater than the preset influence degree, the third electricity price of each charging pile corresponding to the i-th sub-grid is determined according to the comprehensive influence degree of the i-th sub-grid, the daily charging price of each charging pile and the second preset threshold; In a case where the comprehensive influence degree of the i-th sub-grid is less than or equal to the preset influence degree, the third electricity price of each charging pile corresponding to the i-th sub-grid is determined according to the comprehensive influence degree of the i-th sub-grid, the daily charging price of each charging pile and the third preset threshold. 8.The method of recommending charging stations according to claim 1, wherein, The charging cost of each charging pile in the grid is determined according to the target electricity price of each charging pile and the distance from the target user to each charging pile, comprising: A first sub-cost for each charging pile in the power grid is determined based on the distance from the target user to each charging pile, wherein the first sub-cost is used to characterize the time required for the target user to reach the corresponding charging pile; The second sub-cost of a charging station is determined based on the target user's vehicle's missing power and the target electricity price of each charging station. The missing power is used to represent the difference between the vehicle's total energy storage capacity and the vehicle's remaining power after the target user arrives at the corresponding charging station. The second sub-cost is used to represent the total price for the target user to fully charge the vehicle at the corresponding charging station. The first sub-cost and the second sub-cost of each charging pile are weighted and summed to obtain the charging cost corresponding to that charging pile.

9. A device for recommending a charging station, characterized in that include: A partitioning unit is used to divide the power grid connected to multiple charging piles into X sub-power grids according to the region, where X is a positive integer; The first determining unit is used to determine the target electricity price of each charging pile in the area corresponding to the X sub-grids based on the grid type, first data, second data, and third data of each sub-grid. The first data is used to characterize the charging information of vehicles in the area corresponding to the sub-grid, the second data is used to characterize the power surplus information of the power generation equipment in the area corresponding to the sub-grid, and the third data is used to characterize the sales electricity price information of the charging piles in the area corresponding to the sub-grid. The target electricity price is the real-time electricity price of the charging piles at a future time. The second determining unit is used to determine the charging cost of each charging pile in the power grid based on the target electricity price of each charging pile and the distance from the target user to each charging pile, wherein the charging cost is used to characterize the cost for the target user to select the corresponding charging pile for charging at the future time. The third determining unit is used to select the charging pile with the lowest charging cost as the target charging pile corresponding to the target user. The recommended device for the charging pile also includes: The first judgment unit is used to determine whether the load ratio of the i-th subgrid in the X subgrids is greater than a preset percentage, wherein the load ratio is the percentage of the sum of the primary load and secondary load of the subgrid to the total load of the subgrid; The fourth determining unit is used to determine the grid type of the i-th subgrid as the first type when the load ratio of the i-th subgrid is greater than the preset percentage; The second judgment unit is used to determine whether the proportion of new energy in the i-th subgrid is greater than the preset percentage when the load proportion of the i-th subgrid is less than or equal to the preset percentage. The proportion of new energy is the percentage of new energy power generated by power generation equipment in the area corresponding to the subgrid to the total power generation. The fifth determining unit is used to determine the grid type of the i-th subgrid as the second type when the proportion of new energy in the i-th subgrid is greater than the preset percentage; The sixth determining unit is used to determine the grid type of the i-th subgrid as the third type when the proportion of new energy in the i-th subgrid is less than or equal to the preset percentage.

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