Ranking charging method and device, storage medium, and terminal of charging station

Abstract

The present invention discloses a queuing charging method and device, a storage medium, and a terminal for a charging station, relating to the technical field of charging electric vehicles, and mainly aiming to solve the problem of low charging efficiency of existing charging electric vehicles. It mainly includes: determining at least one target charging station matching the target vehicle to be charged from each charging station, and obtaining the historical number of power outages and charging configuration information of the target charging station; generating queuing information based on the electric vehicle operation information of the target vehicle, the historical number of power outages, and the charging configuration information; outputting the queuing information, and instructing the target vehicle to charge according to the target charging station corresponding to the selected queuing information.

Description

Technical Field

[0001] The present invention relates to the technical field of charging electric vehicles, and particularly to a ranking charging method and device for a charging station, a storage medium, and a terminal. Background Art

[0002] With the gradual popularization of charging electric vehicles, the demand for charging stations is also gradually increasing. In order to facilitate vehicle owners to quickly select a charging station for charging their electric vehicles, charging electric vehicle merchants develop applicable application programs to display nearby charging stations for vehicle owners to choose from.

[0003] Currently, when displaying nearby charging stations based on the application program APP, the nearby charging stations are scored and sorted, such as scoring according to factors such as distance, compatible brands, and price for vehicle owners to select. However, due to the relatively single method of scoring and sorting, even charging stations with higher scores may experience power outages (sudden and frequent interruptions during charging after charging starts), and frequent power outages will cause hardware wear of the charging interface, greatly reducing the charging efficiency and charging effectiveness. Summary of the Invention

[0004] In view of this, the present invention provides a ranking charging method and device for a charging station, a storage medium, and a terminal, mainly aiming to solve the problem of low charging efficiency of existing charging electric vehicles.

[0005] According to one aspect of the present invention, a ranking charging method for a charging station is provided, including:

[0006] Determine at least one target charging station that matches the target vehicle to be charged from each charging station, and obtain the historical power outage times and charging configuration information of the target charging station;

[0007] Generate ranking information based on the electric vehicle operation information of the target vehicle, the historical power outage times, and the charging configuration information;

[0008] Output the ranking information, and instruct the target vehicle to charge according to the target charging station corresponding to the selected ranking information.

[0009] Further, the generating ranking information based on the electric vehicle operation information of the target vehicle, the historical power outage times, and the charging configuration information includes:

[0010] Predict the power outage probability value within a preset time interval based on the historical power outage times, and determine the matching probability value between the electric vehicle operation information and the charging configuration information, where the electric vehicle operation information includes at least one of charging frequency current voltage range, electric vehicle power demand information, electric vehicle equipment information, and electric vehicle loss information;

[0011] Statistically determine the charging ranking order of the target charging station according to the power outage probability value and the matching probability value, and determine the ranking information of the target charging station based on the position information of the target vehicle and the charging ranking order.

[0012] Further, the predicting the power outage probability value within a preset time interval based on the historical number of power outages includes:

[0013] If the historical number of power outages is greater than or equal to a preset power outage threshold, configure the first power outage probability value as the predicted power outage probability value;

[0014] If the historical number of power outages is less than the preset power outage threshold, predict and calculate a second power outage probability value within the preset time interval based on a power outage algorithm, and the second power outage probability value is less than the first power outage probability value.

[0015] Further, after determining the matching probability value between the electric vehicle operation information and the charging configuration information, the method further includes:

[0016] Determine the charging relationship with the target charging station according to the positioning information bound to the target vehicle and the historical charging records;

[0017] If the charging relationship is a permanent charging relationship, increase and adjust the matching probability value according to a preset matching threshold.

[0018] Further, the determining at least one target charging station that matches the target vehicle to be charged from each charging station includes:

[0019] Obtain the first positioning information of each charging station and the second positioning information of the target vehicle;

[0020] Adjust the position difference between the first positioning information and the second positioning information based on the historical power outage time range of each charging station;

[0021] Determine the charging station with the position difference less than a preset distance threshold as the target charging station.

[0022] Further, the adjusting the position difference between the first positioning information and the second positioning information based on the historical power outage time range of each charging station includes:

[0023] Calculate the position distance between the first positioning information and the second positioning information, and determine whether the charging time of the target vehicle matches the historical power outage time range according to the running speed of the target vehicle and the position distance;

[0024] If it matches the historical power outage time range, extend and adjust the position distance, and determine the extended and adjusted position distance as the position difference.

[0025] Further, the step of instructing the target vehicle to charge according to the target charging station corresponding to the selected ranking information includes:

[0026] After determining the target charging station selected based on the ranking information, retrieve the navigation information that matches the target charging station and the target vehicle, and send the navigation information to the vehicle terminal so that the target vehicle is instructed to charge at the target charging station according to the navigation information.

[0027] According to another aspect of the present invention, a ranking charging device for a charging station is provided, including:

[0028] An acquisition module, configured to determine at least one target charging station that matches the target vehicle to be charged from each charging station, and acquire the historical number of power outages and charging configuration information of the target charging station;

[0029] A generation module, configured to generate ranking information based on the electric vehicle operation information of the target vehicle, the historical number of power outages, and the charging configuration information;

[0030] An indication module, configured to output the ranking information, and instruct the target vehicle to charge according to the target charging station corresponding to the selected ranking information.

[0031] Further, the generation module includes:

[0032] A first determination unit, configured to predict a power outage probability value within a preset time interval based on the historical number of power outages, and determine a matching probability value between the electric vehicle operation information and the charging configuration information, where the electric vehicle operation information includes at least one of a charging frequency current voltage range, electric vehicle power demand information, electric vehicle equipment information, and electric vehicle loss information;

[0033] A calculation unit, configured to count the charging ranking order of the target charging station according to the power outage probability value and the matching probability value, and determine the ranking information of the target charging station based on the position information of the target vehicle and the charging ranking order.

[0034] Further, the determination unit is specifically configured to, if the historical number of power outages is greater than or equal to a preset power outage threshold, configure the first power outage probability value as the predicted power outage probability value; if the historical number of power outages is less than the preset power outage threshold, predict and calculate a second power outage probability value within a preset time interval based on a power outage algorithm, where the second power outage probability value is less than the first power outage probability value.

[0035] Further, the generation module further includes:

[0036] A second determination unit, configured to determine a charging relationship with the target charging station according to the positioning information bound to the target vehicle and the historical charging record;

[0037] An adjustment unit, configured to increase and adjust the matching probability value according to a preset matching threshold if the charging relationship is a resident charging relationship.

[0038] Further, the obtaining module includes:

[0039] An obtaining unit, configured to obtain the first positioning information of each charging station and the second positioning information of the target vehicle;

[0040] A third determination unit, configured to adjust the position difference between the first positioning information and the second positioning information based on the historical power-off time range of each charging station;

[0041] A fourth determination unit, configured to determine the charging station with the position difference less than a preset distance threshold as the target charging station.

[0042] Further, the indication module is specifically configured to, after determining the target charging station selected based on the ranking information, retrieve the navigation information matching the target charging station and the target vehicle, and send the navigation information to the vehicle terminal, so as to instruct the target vehicle to charge at the target charging station according to the navigation information.

[0043] According to another aspect of the present invention, there is provided a storage medium storing at least one executable instruction, and the executable instruction causes a processor to perform operations corresponding to the above-mentioned ranking charging method for charging stations.

[0044] According to still another aspect of the present invention, there is provided a terminal, including: a processor, a memory, a communication interface, and a communication bus, and the processor, the memory, and the communication interface complete communication with each other through the communication bus;

[0045] The memory is used for storing at least one executable instruction, and the executable instruction causes the processor to perform operations corresponding to the above-mentioned ranking charging method for charging stations.

[0046] By means of the above technical solutions, the technical solutions provided by the embodiments of the present invention have at least the following advantages:

[0047] The present invention provides a charging station ranking charging method, device, storage medium, and terminal. Compared with the prior art, in the embodiments of the present invention, at least one target charging station matching the target vehicle to be charged is determined from each charging station, and the historical number of power outages and charging configuration information of the target charging station are obtained; ranking information is generated based on the electric vehicle operation information of the target vehicle, the historical number of power outages, and the charging configuration information; the ranking information is output, and the target vehicle is instructed to charge according to the target charging station corresponding to the selected ranking information, achieving the purpose of selecting a charging station for charging based on the charging station ranking, greatly reducing the occurrence of power outages during the charging process, ensuring the safety of electric vehicle charging, reducing the probability of damage to electric vehicle equipment, and greatly improving the charging efficiency and charging effectiveness of the charging electric vehicle.

[0048] The above description is only an overview of the technical solution of the present invention. In order to be able to understand the technical means of the present invention more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features, and advantages of the present invention more obvious and understandable, the following specifically describes the embodiments of the present invention. Brief Description of the Drawings

[0049] By reading the following detailed description of the preferred embodiments, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings:

[0050] Figure 1 It shows a flowchart of a charging station ranking charging method provided by an embodiment of the present invention;

[0051] Figure 2 It shows a flowchart of another charging station ranking charging method provided by an embodiment of the present invention;

[0052] Figure 3 It shows a flowchart of yet another charging station ranking charging method provided by an embodiment of the present invention;

[0053] Figure 4 It shows a block diagram of a charging station ranking charging device provided by an embodiment of the present invention;

[0054] Figure 5 It shows a schematic structural diagram of a terminal provided by an embodiment of the present invention. Detailed Embodiments

[0055] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be fully conveyed to those skilled in the art.

[0056] When displaying nearby charging stations based on an application (APP), the nearby charging stations are scored and sorted, for example, scored according to factors such as distance, compatible brands, and price for the vehicle owner to select. However, due to the relatively single way of scoring and sorting, even charging stations with higher scores may experience power outages (sudden and frequent interruptions during charging after charging starts). Frequent power outages will cause hardware wear of the charging interface, greatly reducing the charging efficiency and charging effectiveness. Embodiments of the present invention provide a charging station ranking charging method, as Figure 1 shown, the method includes:

[0057] 101. Determine at least one target charging station that matches the vehicle to be charged from each charging station, and obtain the historical power outage times and charging configuration information of the target charging station.

[0058] In the embodiments of the present invention, the current execution end, as a (cloud) server, can store and retrieve different charging station information applicable to charging vehicles, and interact with each vehicle to be charged, so as to provide a charging station display and selection service for users. Among them, the current execution end determines the vehicle to be charged, which can be one or more. That is, the user can request the charging station ranking from the current execution end through the client connected to each vehicle to be charged, so that the current execution end first determines at least one target charging station that matches the target vehicle requesting the charging station ranking from each charging station. At the same time, after the current execution end determines the target charging station, it obtains the historical power outage times and charging configuration information of the target charging station. Among them, the historical power outage times are the number of power outages that occurred at the charging station during the historical time period, and the charging configuration information is information such as the charging range of the on-vehicle charger of the charging vehicle applicable to the charging station, as well as the frequency, voltage, current, remaining power, charger model, etc. Each charging station updates the information to the current execution end after each charging or each power outage, so that the current execution end can update the historical power outage times and charging configuration information in real time.

[0059] It should be noted that in the embodiments of the present invention, a charging station is a charging device unit, and multiple charging stations can form a charging area, which can be set in each residential or affiliated area, and no specific limitation is made in the embodiments of the present invention. At the same time, since there are many factors causing power outages, such as damage to the hardware equipment of the charging station itself, damage to the hardware of the vehicle itself, the power of the charging station being greater than the circuit power, the power of the on-vehicle charger being greater than the power of the charging station, etc., therefore, in order to accurately analyze the charging situation of the charging station, the current execution end can collect the power outage information of the charging station in real time, and can also directly receive the abnormal alarm information fed back after the power outage of the charging station to conduct statistics on the historical number of power outages, and no specific limitation is made in the embodiments of the present invention.

[0060] 102. Generate a ranking information based on the electric vehicle operation information of the target vehicle, the historical number of power outages, and the charging configuration information.

[0061] In the embodiments of the present invention, the ranking information is used to represent the order of ranking the charging of the target vehicle by each charging station, and includes the sorting results of each target charging station calculated based on the electric vehicle operation information, historical number of power outages, and charging configuration information of the target electric vehicle, so as to be output to the user for selection. Among them, the electric vehicle operation information includes at least one of the charging frequency current voltage range, electric vehicle power demand information, electric vehicle equipment information, and electric vehicle loss information. The charging frequency current voltage range is the range of frequency, current, and voltage at which the target vehicle can be charged. The electric vehicle power demand information is the expected power that the target vehicle charges from the charging station. The electric vehicle equipment information includes the charger model of the target vehicle, the power of the on-vehicle charger, the circuit power, etc. The electric vehicle loss information is used to represent the vehicle loss content such as the usage duration of the target vehicle, the driving kilometer length, and the number of charging times of the on-vehicle charger, and no specific limitation is made in the embodiments of the present invention.

[0062] It should be noted that since all the target charging stations are determined as alternative charging stations for users, the target charging stations can be within one charging area or in different charging areas. Therefore, whether other vehicles are charging at the target charging stations is not specifically limited in the embodiments of the present invention. Only the ranking information can be generated based on the electric vehicle operation information of the target vehicle, the historical number of power outages of all the target charging stations, and the charging configuration information, so that the user can select the charging station expected to be charged based on the ranking information.

[0063] 103. Output the ranking information, and instruct the target vehicle to charge according to the target charging station corresponding to the selected ranking information.

[0064] In the embodiment of the present invention, since the current execution end can be a server that interacts with the client for data, after generating the ranking information, the ranking information is output to the client that requests charging ranking for the user to select. When the user selects the target charging station corresponding to the expected charging based on the ranking information, the target vehicle is instructed to charge according to this target charging station. At this time, if the client completes the data connection with the in-vehicle controller in the target vehicle, the information of the target charging station can be directly sent to the in-vehicle controller. If the client does not complete the data connection with the in-vehicle controller in the target vehicle, the user can drive the target vehicle to the target charging station based on the instructions of the client.

[0065] In another embodiment of the present invention, for further illustration and limitation, as Figure 2 described, the step of generating the ranking information based on the electric vehicle operation information, the historical power failure times, and the charging configuration information of the target vehicle includes:

[0066] 201. Predict the power failure probability value within a preset time interval based on the historical power failure times, and determine the matching probability value between the electric vehicle operation information and the charging configuration information;

[0067] 202. Statistically determine the charging ranking order of the target charging station according to the power failure probability value and the matching probability value, and determine the ranking information of the target charging station based on the position information of the target vehicle and the charging ranking order.

[0068] To accurately generate the ranking information for the user to select based on the ranking information, the ranking information is generated based on the electric vehicle operation information, the historical power failure times, and the charging configuration information of the target vehicle. Specifically, the power failure probability value within a preset time interval is predicted based on the historical power failure times, and the matching probability value between the electric vehicle operation information and the charging configuration information is determined. Among them, the power failure probability value is the probability that the charging station is expected to have a power failure within the preset interval time, that is, directly predicted based on the historical power failure times. At this time, the historical power failure times can be predicted by a trained machine learning algorithm, and no specific limitation is imposed on the machine learning algorithm. It can also be predicted based on a power failure prediction algorithm. For example, if the historical time interval is a months, the power failure prediction formula is , is the historical power failure times, is the number of days with power failure within a months to calculate the power failure probability value.

[0069] Meanwhile, since the tram operation information includes at least one of the charging frequency current voltage range, tram power demand information, tram equipment information, and tram loss information, and the charging configuration information is the charging range of the on-vehicle charger of the charging vehicle applicable to the charging station, as well as information such as frequency, voltage, current, remaining power, and charger model, a matching probability value is calculated based on the charging configuration information of the charging station. That is, the matching probability value is used to characterize the matching degree of the charging effect between the charging station and the vehicle. It can directly perform one-to-one matching according to the information in the tram operation information and the charging configuration information to calculate the matching probability using a weighted method. For example, in the tram operation information, the frequency range is a, the voltage range is b, the current demand information is c, the charger model is d, and the number of charging times of the on-vehicle charger is 50 times. The charging configuration information is the charger model d of the charging vehicle, the frequency range a, the voltage range b, the remaining power C (C is greater than c), and the number of charging times of the on-vehicle charger is less than 100 times. Perform one-to-one comparison, then the weight weighting method , is the number of matching items, and the corresponding = 1, is the total number of matching items. If all match, finally get = 1.

[0070] It should be noted that after determining the tripping probability value and the matching probability value of all target charging stations, calculate the charging ranking order of all target charging stations. At this time, the larger the tripping probability value and the smaller the matching probability value, the more backward the charging ranking order. For the specific statistical method, the ranking order can be determined based on the ratio of the tripping probability value to the matching probability value. The larger the ratio, that is, the larger the ranking order, which is not specifically limited in the embodiments of the present invention. At the same time, in order to facilitate the target vehicle to drive to the charging station for charging, determine the ranking information of the target charging station based on the position information of the target vehicle and the charging ranking order. That is, on the basis of the ranking information, the distance between the target vehicle and each target charging station can be carried to generate the ranking information, such as the ranking information includes the ranking order and the distance between the target vehicle and each target charging station.

[0071] In another embodiment of the present invention, for further illustration and limitation, the step of predicting the tripping probability value within a preset time interval based on the historical tripping times includes:

[0072] If the historical tripping times are greater than or equal to the preset tripping threshold, then configure the first tripping probability value as the predicted tripping probability value;

[0073] If the historical tripping times are less than the preset tripping threshold, then predict and calculate the second tripping probability value within the preset time interval based on the tripping algorithm, and the second tripping probability value is less than the first tripping probability value.

[0074] In the embodiments of the present invention, in order to ensure that the charging station can charge safely and reduce the occurrence of power tripping, a preset power tripping threshold is pre-configured, which can be 10 times, 20 times, etc., so that when the historical power tripping times are greater than or equal to the preset power tripping threshold, it is determined that the target charging station is not suitable as the charging station to be charged. At this time, by directly configuring the first power tripping probability value as the predicted power tripping probability value, the first power tripping probability value is a preset value with a relatively large probability, so that a ranking order with a lower ranking is calculated based on this relatively large power tripping probability value. At the same time, if the historical power tripping times are less than the preset power tripping threshold, it means that the historical power tripping times are within the normal power tripping range. Therefore, the second power tripping probability value within a preset time interval can be predicted based on the power tripping algorithm. At this time, the second power tripping probability value is calculated, and the preset time interval is preferably 1 day to predict the power tripping probability value on the current day. At this time, since the function of the first power tripping probability value is to make the calculated ranking order more backward, and the calculated second power tripping probability value represents the probability value expected to occur on the current day, therefore, when configuring and calculating, the second power tripping probability value is less than the first power tripping probability value.

[0075] In another embodiment of the present invention, for further illustration and limitation, after the step of determining the matching probability value between the tram operation information and the charging configuration information, the method further includes:

[0076] Determine the charging relationship with the target charging station according to the positioning information bound to the target vehicle and the historical charging records;

[0077] If the charging relationship is a permanent charging relationship, adjust the matching probability value by increasing it according to a preset matching threshold.

[0078] In the embodiments of the present invention, in order to facilitate users to frequently use the ranking information to select a charging station, the charging relationship with the target charging station is determined according to the positioning information bound to the target vehicle to determine whether to match as a regular user. Among them, the charging relationship includes a permanent charging relationship and a non-permanent charging relationship. At this time, the permanent charging relationship means that the target vehicle frequently charges at the target charging station within a fixed distance range. At this time, it can be determined based on the positioning information and historical charging records. For example, the distance between the positioning information bound to the vehicle and the charging station meets the permanent distance range, and the number of charging times in the historical charging records meets the permanent charging times, so as to determine the permanent charging relationship. If it is a permanent charging relationship, it means that the target vehicle is more likely to match the target charging station. Therefore, by increasing the matching probability value, the ranking order of the target charging station is advanced, that is, the matching probability value is adjusted by increasing it according to a preset matching threshold. The preset matching probability threshold plays a role in increasing and adjusting the matching probability value, and can be configured as 0.1, 0.2, etc. The embodiments of the present invention do not make specific limitations.

[0079] In another embodiment of the present invention, for further illustration and limitation, as Figure 3 shown, the step of determining at least one target charging station matching the target vehicle to be charged from each charging station includes:

[0080] 301. Obtain the first positioning information of each charging station and the second positioning information of the target vehicle;

[0081] 302. Adjust the position difference between the first positioning information and the second positioning information based on the historical power outage time range of each charging station;

[0082] 303. Determine the charging stations with the position difference less than the preset distance threshold as the target charging stations.

[0083] In order to determine the target charging station matching the target vehicle from numerous charging stations to improve the effectiveness of generating the ranking information of the charging stations, first obtain the first positioning information of each charging station and the second positioning information of the target vehicle to determine the position difference. Among them, the current execution end can obtain the first positioning information and the second positioning information based on the Global Positioning System (GPS), and adjust the position difference between the first positioning information and the second positioning information based on the historical power outage time range of each charging station. If this position difference is less than the preset distance threshold, it means that the corresponding charging position is more suitable as the target charging station for the user to select. Therefore, determine the charging stations with the position difference less than the preset distance threshold as the target charging stations.

[0084] In another embodiment of the present invention, for further illustration and limitation, the step of adjusting the position difference between the first positioning information and the second positioning information based on the historical power outage time range of each charging station includes:

[0085] Calculate the position distance between the first positioning information and the second positioning information, and determine whether the charging time of the target vehicle matches the historical power outage time range according to the running speed of the target vehicle and the position distance;

[0086] If it matches the historical power outage time range, extend and adjust the position distance, and determine the extended and adjusted position distance as the position difference.

[0087] In order to accurately calculate the position difference between the first positioning information and the second positioning information to select a suitable target charging station, specifically, calculate the position distance between the first positioning information and the second positioning information, which can be directly determined based on the positioning distance difference. At the same time, calculate whether the expected charging time to reach the target vehicle matches the historical power outage time range according to the running speed and position distance of the target vehicle. At this time, the running speed can be the average running speed. The historical power outage time range is the daily time range of the charging station power outage recorded in the current execution end. For example, 10:00 am to 4:00 pm is the statistical daily time range of all power outage time points within a month, so as to determine whether the charging time obtained by dividing the position distance by the running speed matches this time range. If it matches this historical power outage time range, extend and adjust the position distance, and then determine the adjusted position distance as the position difference to avoid the time period when power outages occur. The length of the extended position distance can be obtained by multiplying the last time point of the historical power outage time range by the running speed, or can also be pre-configured, and the embodiments of the present invention do not make specific limitations.

[0088] In another embodiment of the present invention, for further illustration and limitation, the step of instructing the target vehicle to charge according to the selected target charging station corresponding to the ranking information includes: after determining the target charging station selected based on the ranking information, retrieve the navigation information matching the target charging station and the target vehicle, and send the navigation information to the vehicle terminal, so that the target vehicle is instructed to charge at the target charging station according to the navigation information.

[0089] To facilitate the user to drive to the selected charging station for charging, after the user selects the target charging station based on the ranking information, the current execution end retrieves the navigation information matching the selected target charging station and the target vehicle, and sends this navigation information to the vehicle terminal. At this time, the vehicle terminal can be a client or an in-vehicle control terminal, and the embodiments of the present invention do not make specific limitations, so that the user can drive the target vehicle to the target charging station for charging according to the navigation information.

[0090] It should be noted that the vehicle in the embodiments of the present invention is an electric vehicle, including but not limited to intelligent electric vehicles with autonomous driving functions and manually operated electric vehicles, so as to enable the user to automatically or manually drive to charge after selecting a charging station based on the ranking information generated by the current execution end.

[0091] An embodiment of the present invention provides a method for ranked charging of charging stations. Compared with the prior art, in the embodiment of the present invention, at least one target charging station matching the target vehicle to be charged is determined from each charging station, and the historical number of power outages and charging configuration information of the target charging station are obtained; ranking information is generated based on the tram operation information of the target vehicle, the historical number of power outages, and the charging configuration information; the ranking information is output, and the target vehicle is instructed to charge according to the target charging station corresponding to the selected ranking information, achieving the purpose of selecting a charging station for charging based on the ranking of the charging station, greatly reducing the occurrence of power outages during the charging process, ensuring the safety of tram charging, reducing the probability of tram equipment damage, and greatly improving the charging efficiency and charging effectiveness of the charging tram.

[0092] Further, as an implementation of the method described above Figure 1 An embodiment of the present invention provides a ranked charging device for a charging station, as Figure 4 shown. The device includes:

[0093] An acquisition module 41, configured to determine at least one target charging station matching the target vehicle to be charged from each charging station, and obtain the historical number of power outages and charging configuration information of the target charging station;

[0094] A generation module 42, configured to generate ranking information based on the tram operation information of the target vehicle, the historical number of power outages, and the charging configuration information;

[0095] An indication module 43, configured to output the ranking information, and instruct the target vehicle to charge according to the target charging station corresponding to the selected ranking information.

[0096] Further, the generation module includes:

[0097] A first determination unit, configured to predict a power outage probability value within a preset time interval based on the historical number of power outages, and determine a matching probability value between the tram operation information and the charging configuration information, where the tram operation information includes at least one of a charging frequency current voltage range, tram power demand information, tram equipment information, and tram loss information;

[0098] A calculation unit, configured to count the charging ranking order of the target charging station according to the power outage probability value and the matching probability value, and determine the ranking information of the target charging station based on the position information of the target vehicle and the charging ranking order.

[0099] Further, the determining unit is specifically configured to: if the historical power trip times are greater than or equal to a preset power trip threshold, configure the first power trip probability value as the predicted power trip probability value; if the historical power trip times are less than the preset power trip threshold, predict and calculate a second power trip probability value within a preset time interval based on a power trip algorithm, where the second power trip probability value is less than the first power trip probability value.

[0100] Further, the generating module further includes:

[0101] A second determining unit, configured to determine a charging relationship with the target charging station according to the positioning information bound to the target vehicle and the historical charging records;

[0102] An adjusting unit, configured to: if the charging relationship is a resident charging relationship, increase and adjust the matching probability value according to a preset matching threshold.

[0103] Further, the obtaining module includes:

[0104] An obtaining unit, configured to obtain the first positioning information of each charging station and the second positioning information of the target vehicle;

[0105] A third determining unit, configured to adjust the position difference between the first positioning information and the second positioning information based on the historical power trip time range of each charging station;

[0106] A fourth determining unit, configured to determine the charging station with the position difference less than a preset distance threshold as the target charging station.

[0107] Further, the indicating module is specifically configured to: after determining the target charging station selected based on the ranking information, retrieve the navigation information matching the target charging station and the target vehicle, and send the navigation information to the vehicle terminal, so as to instruct the target vehicle to charge at the target charging station according to the navigation information.

[0108] An embodiment of the present invention provides a ranking charging device for a charging station. Compared with the prior art, the embodiment of the present invention determines at least one target charging station matching a target vehicle to be charged from each charging station, and obtains the historical power trip times and charging configuration information of the target charging station; generates ranking information based on the electric vehicle operation information of the target vehicle, the historical power trip times, and the charging configuration information; outputs the ranking information, and instructs the target vehicle to charge according to the target charging station corresponding to the selected ranking information, achieving the purpose of selecting a charging station for charging based on the ranking of the charging station, greatly reducing the occurrence of power trip situations during the charging process, ensuring the safety of electric vehicle charging, reducing the probability of electric vehicle equipment damage, and greatly improving the charging efficiency and charging effectiveness of the charging electric vehicle.

[0109] According to an embodiment of the present invention, a storage medium is provided. The storage medium stores at least one executable instruction, and the computer executable instruction can execute the queuing charging method of the charging station in any of the above method embodiments.

[0110] Figure 5 FIG. shows a schematic structural diagram of a terminal according to an embodiment of the present invention. The specific embodiments of the present invention do not limit the specific implementation of the terminal.

[0111] As Figure 5 shown, the terminal may include: a processor 502, a communication interface 504, a memory 506, and a communication bus 508.

[0112] Among them: the processor 502, the communication interface 504, and the memory 506 communicate with each other through the communication bus 508.

[0113] The communication interface 504 is used to communicate with network elements of other devices such as clients or other servers.

[0114] The processor 502 is used to execute the program 510, and specifically can execute the relevant steps in the above-mentioned queuing charging method embodiment of the charging station.

[0115] Specifically, the program 510 may include program code, and the program code includes computer operation instructions.

[0116] The processor 502 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present invention. One or more processors included in the terminal may be of the same type of processor, such as one or more CPUs; or may be of different types of processors, such as one or more CPUs and one or more ASICs.

[0117] The memory 506 is used to store the program 510. The memory 506 may include a high-speed RAM memory, and may also include a non-volatile memory, such as at least one disk memory.

[0118] The program 510 is specifically used to cause the processor 502 to perform the following operations:

[0119] Determine at least one target charging station that matches the vehicle to be charged from each charging station, and obtain the historical number of power outages and charging configuration information of the target charging station;

[0120] Generate ranking information based on the tram operation information of the target vehicle, the historical number of power outages, and the charging configuration information;

[0121] Output the ranking information, and indicate the target vehicle to charge according to the target charging station corresponding to the selected ranking information.

[0122] Obviously, those skilled in the art should understand that the above-mentioned modules or steps of the present invention can be implemented by a general-purpose computing device. They can be concentrated on a single computing device or distributed on a network composed of multiple computing devices. Optionally, they can be implemented by program codes executable by the computing device. Thus, they can be stored in a storage device and executed by the computing device. And in some cases, the steps shown or described can be executed in a different order than here, or they can be separately fabricated into individual integrated circuit modules, or multiple modules or steps among them can be fabricated into a single integrated circuit module to implement. In this way, the present invention is not limited to any specific combination of hardware and software.

[0123] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A queuing charging method for a charging station, characterized in that, Including: Determine at least one target charging station that matches the target vehicle to be charged from each charging station, and obtain the historical number of power outages and charging configuration information of the target charging station; Generate ranking information based on the tram operation information of the target vehicle, the historical number of power outages, and the charging configuration information; Output the ranking information, and instruct the target vehicle to charge according to the target charging station corresponding to the selected ranking information; The generating ranking information based on the tram operation information of the target vehicle, the historical number of power outages, and the charging configuration information includes: Predict the power outage probability value within a preset time interval based on the historical number of power outages, and determine the matching probability value between the tram operation information and the charging configuration information. The tram operation information includes at least one of the charging frequency current voltage range, tram power demand information, tram equipment information, and tram loss information; Count the charging ranking order of the target charging station according to the power outage probability value and the matching probability value, and determine the ranking information of the target charging station based on the position information of the target vehicle and the charging ranking order; The determining at least one target charging station that matches the target vehicle to be charged from each charging station includes: Obtain the first positioning information of each charging station and the second positioning information of the target vehicle; Adjust the position difference between the first positioning information and the second positioning information based on the historical power outage time range of each charging station; Determine the charging station with the position difference less than the preset distance threshold as the target charging station; The adjusting the position difference between the first positioning information and the second positioning information based on the historical power outage time range of each charging station includes: Calculate the position distance between the first positioning information and the second positioning information, and determine whether the charging time of the target vehicle matches the historical power outage time range according to the running speed of the target vehicle and the position distance; If it matches the historical power outage time range, extend and adjust the position distance, and determine the extended and adjusted position distance as the position difference.

2. The method according to claim 1, wherein The predicting the power outage probability value within a preset time interval based on the historical number of power outages includes: If the historical number of power outages is greater than or equal to the preset power outage threshold, configure the first power outage probability value as the predicted power outage probability value; If the historical number of power outages is less than the preset power outage threshold, predict and calculate the second power outage probability value within a preset time interval based on the power outage algorithm, and the second power outage probability value is less than the first power outage probability value.

3. The method according to claim 1, wherein After determining the matching probability value between the tram operation information and the charging configuration information, the method further includes: Determine the charging relationship with the target charging station according to the positioning information and historical charging records bound to the target vehicle; If the charging relationship is a permanent charging relationship, increase and adjust the matching probability value according to the preset matching threshold.

4. The method according to any one of claims 1 to 3, characterized in that, The instructing the target vehicle to charge according to the target charging station corresponding to the selected ranking information includes: After determining the target charging station selected based on the ranking information, retrieve the navigation information that matches the target charging station and the target vehicle, and send the navigation information to the vehicle terminal so that the target vehicle is directed to the target charging station for charging according to the navigation information.

5. A queuing charging device for a charging station, characterized in that, Including: An acquisition module, configured to determine at least one target charging station that matches the target vehicle to be charged from each charging station, and acquire the historical number of power outages and charging configuration information of the target charging station; A generation module, configured to generate ranking information based on the electric vehicle operation information of the target vehicle, the historical number of power outages, and the charging configuration information; An indication module, configured to output the ranking information, and direct the target vehicle to charge according to the target charging station corresponding to the selected ranking information; The generation module includes: A first determination unit, configured to predict a power outage probability value within a preset time interval based on the historical number of power outages, and determine a matching probability value between the electric vehicle operation information and the charging configuration information, where the electric vehicle operation information includes at least one of a charging frequency current voltage range, electric vehicle power demand information, electric vehicle equipment information, and electric vehicle loss information; A calculation unit, configured to count the charging ranking order of the target charging station according to the power outage probability value and the matching probability value, and determine the ranking information of the target charging station based on the position information of the target vehicle and the charging ranking order; The acquisition module includes: An acquisition unit, configured to acquire the first positioning information of each charging station and the second positioning information of the target vehicle; A third determination unit, configured to adjust the position difference between the first positioning information and the second positioning information based on the historical power outage time range of each charging station; A fourth determination unit, configured to determine the charging station with the position difference less than a preset distance threshold as the target charging station; The third determination unit is specifically configured to calculate the position distance between the first positioning information and the second positioning information, and determine whether the charging time of the target vehicle matches the historical power outage time range according to the running speed of the target vehicle and the position distance; if it matches the historical power outage time range, extend and adjust the position distance, and determine the extended and adjusted position distance as the position difference.

6. A storage medium, in which at least one executable instruction is stored, and the executable instruction causes a processor to perform operations corresponding to the ranking charging method of the charging station according to any one of claims 1-4.

7. A terminal, comprising: A processor, a memory, a communication interface, and a communication bus, and the processor, the memory, and the communication interface complete communication with each other through the communication bus; The memory is used to store at least one executable instruction, and the executable instruction causes the processor to perform operations corresponding to the ranking charging method of the charging station according to any one of claims 1-4.

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