Method, system, electronic device and storage medium for dispatching vehicle queues at charging stations

Abstract

The present application relates to a method, system, electronic device and storage medium for queuing and scheduling vehicles at charging stations, which relates to the technical field of charging stations, wherein the method includes receiving a reservation request sent by a user, the reservation request carrying a departure location; obtaining the travel distance between the arrival location and the departure location of each charging station in the charging station deployment map and the corresponding charging station identification according to the preset charging station deployment map and the departure location; obtaining the number of charging piles enabled at the charging station corresponding to each charging station identification, and obtaining the usage ratio of the charging piles at each charging station; selecting, from the charging station identification, a low-occupancy charging station identification whose usage ratio is less than a preset congestion threshold and whose distance is shorter, according to the usage ratio and the preset short-distance priority order; obtaining the travel route data according to the charging station deployment map and the low-occupancy charging station identification; and sending the travel route data to the user. The present application has the effect of improving the user experience and the overall usage rate of the charging piles.

Description

Technical Field

[0001] The present application relates to the technical field of charging stations, and more particularly to a method, system, electronic device and storage medium for scheduling vehicle queues at a charging station. Background Art

[0002] With the popularity of electric vehicles, an electric vehicle charging station similar to a fuel vehicle gas station has emerged. The charging piles in the charging station can be used to charge electric vehicles.

[0003] In the related art, there is a software for online charging reservation. After the user logs in to the software, he can click to select a nearby charging station. The software generates a charging station reservation request based on the charging station selected by the user. The server receives the charging station reservation request and selects the target charging station identifier (a charging station identifier) ​​corresponding to the charging station reservation request. The charging station can send the dynamic data of each charging station to the server. The dynamic data includes the amount of charging piles used and the amount of queues. The server can update the dynamic data to a pre-set charging station database. The charging station database is used to count the dynamic data of each charging station in real time. The server sends the dynamic data to the user so that the user can determine whether to make an appointment and queue.

[0004] In the process of implementing this application, the inventor found that there are at least the following problems in this technology:

[0005] When the charging station selected by the user has a long queue, the user needs to reselect another charging station, and the user may choose a charging station with a long queue again, resulting in repeated selection and poor user experience. Summary of the invention

[0006] In order to improve the problem of poor user experience caused by users repeatedly selecting charging stations with a large queue, the present application provides a method, system, electronic device and storage medium for scheduling vehicle queues at charging stations.

[0007] In a first aspect, the present application provides a method for queuing and scheduling vehicles at a charging station, which adopts the following technical solution:

[0008] A method for queuing vehicles at a charging station, comprising the following steps:

[0009] receiving a reservation request sent by a user, wherein the reservation request carries a departure location;

[0010] According to the preset charging station deployment map and the departure position, the travel distance between the arrival position and the departure position of each charging station in the charging station deployment map and the corresponding charging station identification are obtained;

[0011] Obtaining the number of enabled charging piles at the charging station corresponding to each of the charging station identifiers, and obtaining the usage ratio of the charging piles at each charging station;

[0012] According to the usage ratio and the preset short-distance priority order, among the charging station identifiers, a low-occupancy charging station identifier whose usage ratio is less than a preset congestion threshold and whose distance is shorter is selected;

[0013] Obtaining route data according to the charging station deployment map and the low-occupancy charging station identifier;

[0014] The route data is sent to the user.

[0015] By adopting the above technical solution, the server obtains the travel distance between the location of each charging station and the user's departure location and the corresponding charging station identification according to the reservation request received. The server obtains the usage ratio of the charging piles of each charging station according to the number of enabled charging piles corresponding to the obtained charging station identification, and then obtains the corresponding low-occupancy charging station identification according to the usage ratio and short-distance priority, and then obtains and sends the travel route to the user to reach the corresponding charging station, reducing the possibility that the user may choose to go to a charging station with a large queue again, thereby improving the user experience.

[0016] Optionally, the reservation request also carries a reservation time;

[0017] The method of obtaining the number of enabled charging piles of the charging station corresponding to each charging station identifier and obtaining the usage ratio of each charging station includes the following steps:

[0018] According to a preset charging congestion model, the estimated number of charging piles at each charging station corresponding to the reservation time is obtained, and the utilization ratio of each charging station is obtained.

[0019] By adopting the above technical solution, the user can input the reservation time, and the server can estimate the number of charging piles at each charging station at the reservation time according to the received reservation time and charging congestion model, and obtain the usage ratio of each charging station. Then, the congestion status of the corresponding charging station can be obtained according to different times, thereby effectively improving the accuracy of the congestion status of the charging station obtained by the server.

[0020] Optionally, selecting, from the charging station identifiers, a low-occupancy charging station identifier whose usage ratio is less than a preset congestion threshold and whose distance is shorter, according to the usage ratio and a preset short-distance priority order, comprises the following steps:

[0021] According to the preset short-distance priority order, select the candidate charging station logo with the shortest distance;

[0022] If the usage ratio corresponding to the to-be-selected charging station identification exceeds the preset congestion threshold, then based on the short-distance priority order, a secondary charging station identification is selected from the charging station identifications until a low-occupancy charging station identification whose usage ratio does not exceed the preset congestion threshold is selected.

[0023] By adopting the above technical solution, the server selects the short-distance charging station identifiers in turn according to the short-distance priority order, and then compares them with the congestion threshold to obtain the charging station identifiers whose usage ratio does not exceed the congestion threshold and whose distance is short. Selecting and comparing the usage ratios one by one is compared with selecting all usage ratios and comparing them with the congestion threshold, so that the server can obtain the low-occupancy charging station identifiers faster, thereby improving the server's work efficiency.

[0024] Optionally, the reservation request also carries a destination location and a feasible distance for the vehicle;

[0025] The method of selecting, from the charging station identifiers, a low-occupancy charging station identifier whose usage ratio is less than a preset congestion threshold and whose distance is shorter, according to the usage ratio and the preset short-distance priority order, comprises the following steps:

[0026] Selecting a candidate charging station identifier whose travel distance is less than the feasible distance of the vehicle;

[0027] Obtaining a vehicle travel range according to the charging station deployment map, the departure location, and the destination location;

[0028] Selecting a selectable charging station identifier that matches the vehicle travel range from among the candidate charging station identifiers;

[0029] According to the usage ratio and the preset short-distance priority order, a low-occupancy charging station identifier whose usage ratio is less than a preset congestion threshold and whose distance is shorter is selected from the optional charging station identifiers.

[0030] By adopting the above technical solution, the user can input the destination location and the feasible distance of the vehicle. When receiving the feasible distance of the vehicle, the server obtains the candidate charging station identification whose travel distance is less than the feasible distance of the vehicle, and selects the optional charging station identification within the vehicle's travel range from the candidate charging station identification. In addition, the server obtains the low-occupancy charging station identification within the vehicle's travel range whose usage ratio is less than the preset congestion threshold and whose distance is shorter. This can effectively reduce the situation where users need to take a detour to charge before reaching their destination, thereby improving the user experience.

[0031] Optionally, selecting, from the optional charging station identifiers, a low-occupancy charging station identifier whose usage ratio is less than a preset congestion threshold and whose distance is shorter, according to the usage ratio and the preset short-distance priority order, comprises the following steps:

[0032] According to the reservation time, the charging station deployment map and the departure location, the node time corresponding to each optional charging station identifier is estimated;

[0033] According to the preset charging congestion model and the node time, the congestion degree corresponding to each optional charging station identifier is obtained;

[0034] Among the optional charging station logos, a low-occupancy charging station logo with the lowest congestion is selected.

[0035] By adopting the above technical solution, the server can estimate the node time to reach the corresponding charging station through the reservation time, the charging station deployment map and the departure location. The congestion of the corresponding charging station in different time periods of the day is also different. The charging congestion model can be used to obtain the identification of the relatively idle charging station for the node time, thereby improving the accuracy of the server's congestion in each time period.

[0036] Optionally, the reservation request also carries an estimated arrival time;

[0037] After obtaining the route data according to the charging station deployment map and the low-occupancy charging station identifier, the following steps are also included:

[0038] According to the starting position, the destination position and the feasible distance of the vehicle, a maximum charging amount is estimated;

[0039] Obtaining the time required for charging according to a preset charging time model and the maximum charging amount;

[0040] Obtaining the length of stay according to the estimated arrival time and the reservation time;

[0041] If the time required for charging is less than the stay time, the time required for charging is added to the travel route data;

[0042] Otherwise, a prompt message indicating that the destination cannot be reached within the estimated time is added to the travel route data.

[0043] By adopting the above technical solution, after the server obtains the estimated arrival time uploaded by the user, it can obtain the time required for vehicle charging and the user's stay time, and compare the time required for charging to be less than the stay time. If the time required for charging is less than the stay time, the time required for charging is added to the route data, otherwise, prompt information is added to the route data. This helps to remind the user whether the arrival time at the destination is overtime, and improves the user experience.

[0044] Optionally, selecting, from the charging station identifiers, a low-occupancy charging station identifier whose usage ratio is less than a preset congestion threshold and whose distance is shorter, according to the usage ratio and a preset short-distance priority order, comprises the following steps:

[0045] According to the usage ratio and the preset short-distance priority order, in the charging station identifier, if the usage ratio is less than the preset congestion threshold and there are at least two idle charging station identifiers with shorter distances, the priority level corresponding to each of the idle charging station identifiers in the preset charging station scale level is selected;

[0046] According to the preset high-level priority order, the low-occupancy charging station identifier corresponding to the highest priority level is obtained.

[0047] By adopting the above technical solution, when the server obtains multiple idle charging station identifiers, the server can select the low-occupancy charging identifier with the highest priority according to the high-level priority order. The charging station with a high priority level has a larger scale and a larger flow, and thus is less crowded than the charging station with a smaller scale, further improving the user experience.

[0048] In a second aspect, the present application provides a system for queuing and dispatching vehicles at a charging station, which adopts the following technical solution:

[0049] A system for queuing and dispatching vehicles at a charging station, comprising:

[0050] A first receiving module, configured to receive a reservation request sent by a user, wherein the reservation request carries a departure location;

[0051] A first obtaining module is used to obtain the travel distance between the arrival position and the departure position of each charging station in the charging station deployment map and the corresponding charging station identification according to the preset charging station deployment map and the departure position;

[0052] A first acquisition module is used to acquire the number of enabled charging piles of the charging station corresponding to each of the charging station identifiers, and obtain the usage ratio of the charging piles of each charging station;

[0053] A first selection module is used to select, from the charging station identifiers, a low-occupancy charging station identifier whose usage ratio is less than a preset congestion threshold and whose distance is shorter, according to the usage ratio and a preset short-distance priority order;

[0054] A second obtaining module is used to obtain route data according to the charging station deployment map and the low-occupancy charging station identifier;

[0055] The sending module is used to send the route data to the user.

[0056] By adopting the above technical solution, the server obtains and sends the user the route to the corresponding charging station through the usage ratio and short-distance priority, thereby reducing the possibility that the user may choose to go to a charging station with a large queue again, thereby improving the user experience.

[0057] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0058] Optionally, the electronic device includes a processor and a memory, the memory storing at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set are loaded and executed by the processor to implement a method for queuing vehicles at a charging station as described in the first aspect.

[0059] By adopting the above technical solution, an electronic device can implement the above-mentioned method of queuing vehicles at a charging station according to the relevant computer program stored in the memory, thereby improving the collaboration between information from different sources when selecting relatively idle charging stations, thereby improving the user experience.

[0060] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0061] Optionally, the storage medium stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement a method for queuing vehicles at a charging station as described in the first aspect.

[0062] By adopting the above technical solution, the corresponding program can be stored, thereby improving the collaboration between information from different sources when selecting a relatively idle charging station, thereby enhancing the user experience.

[0063] In summary, the present application includes at least one of the following beneficial technical effects:

[0064] By obtaining the usage ratio and short-distance priority, the server obtains and sends the route to the corresponding charging station to the user, reducing the possibility that the user will choose to go to a charging station with a large queue again, thus improving the user experience;

[0065] The congestion status of the corresponding charging station is obtained according to different time periods, which effectively improves the accuracy of the congestion status of the charging station obtained by the server;

[0066] Compared with selecting all usage ratios and comparing them with the congestion threshold, selecting and comparing the usage ratios one by one enables the server to obtain the low-occupancy charging station identification faster, thereby improving the work efficiency of the server. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0068] Figure 1 It is a structural block diagram of the system for queuing and scheduling vehicles at charging stations according to an embodiment of the present application.

[0069] Figure 2 It is a flowchart of a method for queuing and scheduling vehicles at a charging station according to an embodiment of the present application.

[0070] Figure 3 It is a flow chart of a system for queuing and scheduling vehicles at a charging station according to an embodiment of the present application. DETAILED DESCRIPTION

[0071] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0072] The embodiment of the present application provides a method for queuing and scheduling vehicles at a charging station, which can be applied to a system for queuing and scheduling vehicles at a charging station. The framework structure of the system for queuing and scheduling vehicles at a charging station can be as follows: Figure 1 As shown, it may include a server, multiple user terminals and multiple charging station communication terminals corresponding to the charging stations. The user terminal may be a mobile phone, a tablet or a computer, and the charging station communication terminal may be a computer connected to the server. Specifically, the execution subject of the method may be the server, and the user terminal and the charging station communication terminal may assist in the implementation. The server receives the departure location sent by each user terminal, and combines the number of activations uploaded by each charging station communication terminal to obtain the route and send it to the user terminal. Specifically, the user can log in to the reservation software through the user terminal and enter the departure location in the reservation software. The user terminal sends the departure location to the server. The server receives the departure location sent by the user terminal and combines the location of each charging station to obtain the distance between the user and each charging station. The server obtains the usage ratio of each charging station according to the number of activations of the charging piles of each charging station. The server can obtain the route according to the usage ratio of each charging station and the route distance and send it to the user terminal, so that the user can drive into the corresponding charging station according to the route.

[0073] The following will be combined with specific implementation methods. Figure 2 The processing flow shown is described in detail, and the content can be as follows:

[0074] Step 201: receiving a reservation request sent by a user, wherein the reservation request carries a departure location.

[0075] In an embodiment, the user logs in to the reservation software on the user terminal, enters the address name in the address output box, presses the confirmation key, and a selection box pops up. The user clicks to select the corresponding address in the selection box to send the departure location to the server, or directly presses the confirmation key to default the user's location as the departure location. That is, the server receives the reservation request sent by the user, and the reservation request carries the departure location. At the same time, the user can also drive directly to a charging station. The camera at the entrance of the charging station can identify the vehicle at the entrance. The camera sends the license plate image to the communication device of the charging station, and the communication device can be a computer. The communication device of the charging station generates a temporary reservation request based on the license plate image and the corresponding charging station logo. The temporary reservation request carries the license plate image and the corresponding charging station logo. The server receives the temporary reservation request and obtains the location of the charging station (i.e., the departure location) in combination with the preset charging station deployment map, that is, it can realize the queuing reservation for users who drive directly into the charging station. At the same time, the remaining parking spaces or the number of people in the queue of the charging station are displayed to the user through the broadcast or display screen at the entrance.

[0076] Step 202 , according to the preset charging station deployment map and the departure position, obtain the travel distance between the arrival position and the departure position of each charging station in the charging station deployment map and the corresponding charging station identification.

[0077] In an embodiment, the server is pre-set with a charging station deployment map, which may be a map of a certain city and the locations of all charging stations in the city are marked on the map. The server obtains the location (i.e., the arrival location) of each charging station in the charging station deployment map according to the charging station deployment map, and then obtains the arrival location of each charging station and the distance between the departure locations (i.e., the travel distance) and the corresponding charging station identification in combination with the user's departure location, and the charging station identification may be a digital number pre-set manually.

[0078] Step 203, obtaining the number of enabled charging piles of the charging station corresponding to each charging station identifier, and obtaining the usage ratio of the charging piles of each charging station.

[0079] In an embodiment, the charging station communication terminal of each charging station can send dynamic data to the server when a vehicle enters. The dynamic data includes the number of enabled charging piles and the charging station identification. The server obtains the number of enabled charging piles of the charging station corresponding to each charging station identification, and obtains the usage ratio of each charging pile.

[0080] Optionally, the reservation request also carries a reservation time. According to a preset charging congestion model, the estimated number of charging piles at each charging station corresponding to the reservation time is obtained, and the utilization ratio of each charging station is obtained.

[0081] Step 204 , based on the usage percentage and the preset short distance priority, select a low occupancy charging station identifier whose usage percentage is less than a preset congestion threshold and whose distance is shorter from the charging station identifiers.

[0082] In an embodiment, the server pre-sets a short-distance priority order and a congestion threshold. The short-distance priority order may be to give priority to the charging station logo corresponding to the shortest distance between the departure location and the charging station. The congestion threshold may be the proportion of charging piles in use at a certain charging station to the total number of charging piles, which may be 70%, 80%, or 90%. After obtaining the usage ratio of each charging station, the server selects a low-occupancy charging station logo with a usage ratio less than the congestion threshold and a shorter distance from each charging station logo according to the usage ratio of each charging station and the short-distance priority order.

[0083] At the same time, users can also set a designated charging station in the settings options in the reservation software. The server obtains the number of people in line corresponding to the designated charging station based on the charging station identification corresponding to the charging station selected by the user and the number of people in line uploaded in real time at each charging station. The real time can be ten minutes or one hour. The server obtains the adjacent charging stations and corresponding charging station identifications within the preset range threshold based on the charging station deployment map and the charging station identification corresponding to the designated charging station. The range threshold can be within 1km or within 2km. The server obtains the number of people in line corresponding to the charging station identification based on the charging station identification of the adjacent charging station and the number of people in line uploaded in real time at each charging station. The server selects the charging station identification corresponding to the smaller number of people in line and the corresponding number of people in line and sends it to the user. At the same time, the server also sends the charging station identification corresponding to the designated charging station and the corresponding number of people in line to the user, so that the user can compare and select a suitable charging station for charging.

[0084] Optionally, step 204 specifically includes the following steps: according to a preset short-distance priority order, select the candidate charging station identifier with the shortest distance. If the usage ratio corresponding to the candidate charging station identifier exceeds a preset congestion threshold, then based on the short-distance priority order, select a second-choice charging station identifier from the charging station identifiers until a low-occupancy charging station identifier whose usage ratio does not exceed the preset congestion threshold is selected.

[0085] In an embodiment, the server selects a charging station identifier with the shortest distance (i.e., the to-be-selected charging station identifier) ​​according to a preset short-distance priority order. If the usage ratio corresponding to the to-be-selected charging station identifier exceeds the preset congestion threshold, then based on the short-distance priority order, the charging station identifier with the shortest distance (i.e., the second-selected charging station identifier) ​​is selected from the charging station identifiers, and the usage ratio corresponding to the second-selected charging station identifier is compared with the congestion threshold. If the usage ratio does not exceed the preset congestion threshold, the charging station identifier is selected and indicated as a low-occupancy charging station identifier. Otherwise, the short-distance priority order is followed until a charging station identifier (i.e., the low-occupancy charging station identifier) ​​whose usage ratio does not exceed the preset congestion threshold is selected.

[0086] Optionally, according to the usage ratio and the preset short-distance priority order, in the charging station identification, if the usage ratio is less than the preset congestion threshold and there are at least two idle charging station identifications with a short distance, the priority level corresponding to each idle charging station identification in the preset charging station scale level is selected. According to the preset high-level priority order, the low-occupancy charging station identification corresponding to the highest priority level is obtained.

[0087] In an embodiment, the server is pre-set with charging station scale levels and high-level priorities. The scale of a charging station can be classified according to the number of charging piles. The scale level of a charging station with 50 or more charging piles is large-scale, the scale level of a charging station with 20 to 50 charging piles is medium-scale, and the scale level of a charging station with 20 or less charging piles is small-scale. Accordingly, the high-level priority order can be large-scale-medium-scale-small-scale. The server selects the priority level corresponding to each idle charging station identification in the charging station scale level according to the usage ratio and the preset short-distance priority order. According to the usage ratio and the preset short-distance priority order, if there are at least two charging station identifications (i.e., idle charging station identifications) with a usage ratio less than the preset congestion threshold and a shorter distance, the server selects the priority level corresponding to each idle charging station identification in the charging station scale level. According to the high-level priority order, the charging station identification corresponding to the highest priority level (i.e., low-occupancy charging station identification) is obtained.

[0088] Step 205: Obtain route data according to the charging station deployment diagram and the low-occupancy charging station identifier.

[0089] In an embodiment, the server obtains the travel route data according to the charging station deployment map and the low-occupancy charging station identification, and obtains the travel route data of the user to reach the charging station according to the charging station deployment map and the low-occupancy charging station identification.

[0090] Optionally, the reservation request also carries the destination location and the feasible distance of the vehicle. Step 204 specifically includes the following steps: Select candidate charging station identifiers whose travel distance is less than the feasible distance of the vehicle. According to the charging station deployment map, the departure location and the destination location, the vehicle travel range is obtained, and among the candidate charging station identifiers, the optional charging station identifier that matches the vehicle travel range is selected. According to the usage ratio and the preset short-distance priority order, among the optional charging station identifiers, a low-occupancy charging station identifier whose usage ratio is less than the preset congestion threshold and whose distance is shorter is selected.

[0091] In an embodiment, the server selects a charging station identifier (i.e., a candidate charging station identifier) ​​whose travel distance is less than the feasible distance of the vehicle. Then, based on the charging station deployment map, the departure location, and the destination location, and in combination with a preset feasible path threshold, the vehicle travel range is obtained. The feasible path threshold can be the distance value filled in by the user in the detour distance filling box in the setting interface of the software. The server selects a charging station identifier (optional charging station identifier) ​​within the vehicle travel range (i.e., matching the vehicle travel range) from the candidate charging station identifiers. Based on the usage ratio and the preset short-distance priority order, a low-occupancy charging station identifier with a usage ratio less than the preset congestion threshold and a shorter distance is selected from the optional charging station identifiers.

[0092] Optionally, the node time corresponding to each optional charging station logo is estimated according to the reservation time, the charging station deployment map and the departure location. The congestion degree corresponding to each optional charging station logo is obtained according to the preset charging congestion model and the node time, and the low-occupancy charging station logo with the lowest congestion degree is selected from the optional charging station logos.

[0093] In an embodiment, the server obtains the distance between the departure position and the charging station position corresponding to the optional charging station identifier based on the charging station deployment map and the departure position, and obtains the node time corresponding to each optional charging station identifier in combination with the reservation time. The server can obtain the usage of charging piles at each charging station in different time periods every day, that is, the congestion of the charging station, and can obtain the charging congestion model through training. The server obtains the congestion corresponding to each optional charging station identifier based on the preset charging congestion model and the node time, and selects the charging station identifier with the lowest congestion (that is, the low occupancy charging station identifier) ​​from the optional charging station identifiers.

[0094] Optionally, the reservation request also carries an estimated arrival time. Step 205 specifically includes the following steps: according to the departure location, the destination location and the feasible distance of the vehicle, the maximum charge amount is estimated. According to the preset charging time model and the maximum charge amount, the required charging time is obtained, and according to the estimated arrival time and the reservation time, the stay time is obtained. If the required charging time is less than the stay time, the required charging time is added to the route data. Otherwise, a prompt message that the destination cannot be reached within the estimated time is added to the route data.

[0095] In an embodiment, the feasible distance of the vehicle may be the feasible distance of the vehicle corresponding to the remaining power of the vehicle. The server estimates the minimum charge amount (i.e., the limit charge amount) required to reach the destination based on the departure location, the destination location, and the feasible distance of the vehicle. The server obtains the required charging time based on the preset charging time model and the limit charge amount, and obtains the stay time based on the estimated arrival time and the reservation time. If the required charging time is less than the stay time, the server adds the required charging time to the route data. Otherwise, the server adds a prompt message indicating that the destination cannot be reached within the estimated time to the route data.

[0096] Step 206: Send the route data to the user.

[0097] In an embodiment, the server sends the travel route data to the user, so that the user drives to the corresponding charging station according to the route in the travel route.

[0098] Based on the same technical concept, the embodiment of the present application also discloses a system for queuing and dispatching vehicles at a charging station. The system for queuing and dispatching vehicles at a charging station includes a server, a charging station communication terminal, and a mobile terminal. Figure 3 As shown, the server includes:

[0099] A first receiving module is used to receive a reservation request sent by a user, where the reservation request carries a departure location;

[0100] A first obtaining module is used to obtain the travel distance between the arrival position and the departure position of each charging station in the charging station deployment map and the corresponding charging station identification according to the preset charging station deployment map and the departure position;

[0101] The first acquisition module is used to obtain the number of enabled charging piles of the charging station corresponding to each charging station identifier, and obtain the usage ratio of the charging piles of each charging station;

[0102] A first selection module is used to select, from the charging station identifiers, a low-occupancy charging station identifier with a usage ratio less than a preset congestion threshold and a shorter distance according to the usage ratio and a preset short-distance priority order;

[0103] The second obtaining module is used to obtain the route data according to the charging station deployment map and the low-occupancy charging station identification;

[0104] The sending module is used to send the route data to the user.

[0105] Optionally, a third obtaining module is used to obtain the estimated number of charging piles at each charging station corresponding to the reservation time according to a preset charging congestion model, and obtain the utilization ratio of each charging station.

[0106] Optionally, a second selection module is used to select the identification of the candidate charging station with the shortest distance according to a preset short-distance priority order;

[0107] The third selection module is used to select a secondary charging station logo from the charging station logos based on the short-distance priority order if the usage ratio corresponding to the to-be-selected charging station logo exceeds the preset congestion threshold, until a low-occupancy charging station logo whose usage ratio does not exceed the preset congestion threshold is selected.

[0108] Optionally, a fourth selection module is used to select a candidate charging station identifier whose travel distance is less than the feasible distance of the vehicle;

[0109] The fourth obtaining module is used to obtain the vehicle travel range according to the charging station deployment map, the departure location and the destination location;

[0110] A fifth selection module, configured to select, from the candidate charging station identifiers, an optional charging station identifier that matches the vehicle's travel range;

[0111] The sixth selection module is used to select, from the optional charging station logos, a low-occupancy charging station logo with a usage ratio less than a preset congestion threshold and a shorter distance, based on the usage ratio and a preset short-distance priority.

[0112] Optionally, a first estimation module is used to estimate the node time corresponding to each optional charging station identifier according to the reservation time, the charging station deployment map and the departure location;

[0113] A fifth obtaining module is used to obtain the congestion degree corresponding to each optional charging station identifier according to a preset charging congestion model and node time;

[0114] The seventh selection module is used to select a low-occupancy charging station logo with the lowest congestion among the optional charging station logos.

[0115] Optionally, the sixth obtaining module, after obtaining the route data according to the charging station deployment map and the low-occupancy charging station identifier, further comprises the following steps:

[0116] The second estimation module is used to estimate the maximum charging amount according to the starting position, the destination position and the feasible distance of the vehicle;

[0117] A seventh obtaining module is used to obtain the required charging time according to a preset charging time model and a maximum charging amount;

[0118] The eighth obtaining module is used to obtain the length of stay according to the estimated arrival time and the reservation time;

[0119] An adding module, used for adding the charging time required to the route data if the charging time required is less than the stay time;

[0120] Otherwise, a reminder message that the destination cannot be reached within the estimated time will be added to the route data.

[0121] Optionally, an eighth selection module is used to select, according to the usage ratio and the preset short-distance priority order, the priority level corresponding to each idle charging station identification in the preset charging station scale level if the usage ratio is less than the preset congestion threshold and there are at least two idle charging station identifications with a shorter distance in the charging station identification;

[0122] The ninth obtaining module is used to obtain the low-occupancy charging station identifier corresponding to the highest priority level according to a preset high-level priority order.

[0123] The embodiment of the present application further discloses an electronic device, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes the method for scheduling vehicle queues at a charging station as described above.

[0124] The embodiment of the present application also discloses a computer-readable storage medium, which stores a computer program that can be loaded by a processor and execute the method for scheduling vehicle queues at a charging station as described above. The computer-readable storage medium includes, for example: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0125] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit the protection scope of the application. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Based on these embodiments, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

Claims

1. A method for queuing vehicles at a charging station, characterized in that: The following steps are involved: Receive a reservation request sent by a user, the reservation request carries a departure location, the departure location is the address name entered by the user in the address input box, presses the confirmation key, and then clicks to select the corresponding address in the pop-up selection box, the reservation request also carries a destination location and a feasible distance for the vehicle; According to the preset charging station deployment map and the departure position, the travel distance between the arrival position and the departure position of each charging station in the charging station deployment map and the corresponding charging station identification are obtained; Obtaining the number of enabled charging piles at the charging station corresponding to each of the charging station identifiers, and obtaining the usage ratio of the charging piles at each charging station; According to the usage ratio and the preset short-distance priority order, among the charging station identifiers, a low-occupancy charging station identifier whose usage ratio is less than a preset congestion threshold and whose distance is shorter is selected; Obtaining route data according to the charging station deployment map and the low-occupancy charging station identifier; Sending the route data to the user; The reservation request also carries an estimated arrival time; After obtaining the route data according to the charging station deployment map and the low-occupancy charging station identifier, the following steps are also included: According to the starting position, the destination position and the feasible distance of the vehicle, a maximum charging amount is estimated, and the maximum charging amount is the minimum charging amount required to reach the destination position; Obtaining the time required for charging according to a preset charging time model and the maximum charging amount; Obtaining the length of stay according to the estimated arrival time and the reservation time; If the time required for charging is less than the stay time, the time required for charging is added to the travel route data; Otherwise, a prompt message indicating that the destination cannot be reached within the estimated time is added to the travel route data.

2. A method for dispatching vehicle queues at a charging station according to claim 1, characterized in that: The reservation request also carries the reservation time; The method of obtaining the number of enabled charging piles of the charging station corresponding to each charging station identifier and obtaining the usage ratio of each charging station includes the following steps: According to a preset charging congestion model, the estimated number of charging piles at each charging station corresponding to the reservation time is obtained, and the utilization ratio of each charging station is obtained.

3. The method for dispatching vehicle queues at a charging station according to claim 1, characterized in that: The method of selecting, from the charging station identifiers, a low-occupancy charging station identifier whose usage ratio is less than a preset congestion threshold and whose distance is shorter, according to the usage ratio and the preset short-distance priority order, comprises the following steps: According to the preset short-distance priority order, select the candidate charging station logo with the shortest distance; If the usage ratio corresponding to the to-be-selected charging station identification exceeds the preset congestion threshold, then based on the short-distance priority order, a secondary charging station identification is selected from the charging station identifications until a low-occupancy charging station identification whose usage ratio does not exceed the preset congestion threshold is selected.

4. A method for dispatching vehicle queues at a charging station according to claim 2, characterized in that: The reservation request also carries the destination location and the feasible distance of the vehicle; The method of selecting, from the charging station identifiers, a low-occupancy charging station identifier whose usage ratio is less than a preset congestion threshold and whose distance is shorter, according to the usage ratio and the preset short-distance priority order, comprises the following steps: Selecting a candidate charging station identifier whose travel distance is less than the feasible distance of the vehicle; Obtaining a vehicle travel range according to the charging station deployment map, the departure location, and the destination location; Selecting a selectable charging station identifier that matches the vehicle travel range from among the candidate charging station identifiers; According to the usage ratio and the preset short-distance priority order, a low-occupancy charging station identifier whose usage ratio is less than a preset congestion threshold and whose distance is shorter is selected from the optional charging station identifiers.

5. The method for queuing and dispatching vehicles at a charging station according to claim 1, characterized in that: The method of selecting, from the charging station identifiers, a low-occupancy charging station identifier whose usage ratio is less than a preset congestion threshold and whose distance is shorter, according to the usage ratio and the preset short-distance priority order, comprises the following steps: According to the usage ratio and the preset short-distance priority order, in the charging station identifier, if the usage ratio is less than the preset congestion threshold and there are at least two idle charging station identifiers with shorter distances, the priority level corresponding to each of the idle charging station identifiers in the preset charging station scale level is selected; According to the preset high-level priority order, the low-occupancy charging station identifier corresponding to the highest priority level is obtained.

6. A system for queuing vehicles at a charging station, characterized in that: include: A first receiving module is used to receive a reservation request sent by a user, wherein the reservation request carries a departure location, which is an address name entered by the user in the address input box, and a corresponding address is clicked in a pop-up selection box after the user presses the confirmation key and selects the address. The reservation request also carries a destination location and a feasible distance for the vehicle; A first obtaining module is used to obtain the travel distance between the arrival position and the departure position of each charging station in the charging station deployment map and the corresponding charging station identification according to the preset charging station deployment map and the departure position; A first acquisition module is used to acquire the number of enabled charging piles of the charging station corresponding to each of the charging station identifiers, and obtain the usage ratio of the charging piles of each charging station; A first selection module is used to select, from the charging station identifiers, a low-occupancy charging station identifier whose usage ratio is less than a preset congestion threshold and whose distance is shorter, according to the usage ratio and a preset short-distance priority order; A second obtaining module is used to obtain route data according to the charging station deployment map and the low-occupancy charging station identifier; A sending module, used for sending the route data to the user; The reservation request also carries an estimated arrival time; The sixth obtaining module is used for obtaining the route data according to the charging station deployment map and the low-occupancy charging station identifier, and further comprising the following steps: A second estimation module is used to estimate the maximum charge amount according to the starting position, the destination position and the feasible distance of the vehicle, wherein the maximum charge amount is the minimum charge amount required to reach the destination position; A seventh obtaining module is used to obtain the required charging time according to a preset charging time model and a maximum charging amount; The eighth obtaining module is used to obtain the length of stay according to the estimated arrival time and the reservation time; An adding module, used for adding the charging time required to the route data if the charging time required is less than the stay time; Otherwise, a reminder message that the destination cannot be reached within the estimated time will be added to the route data.

7. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes any one of the methods of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 5.

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