Charging station-based vehicle charging planning method and related device

Abstract

This invention discloses a vehicle charging planning method and related equipment based on charging stations. The main objective is to address the problems of insufficient charging stations leading to inefficient and inefficient charging station configuration, resulting in long waiting times for vehicles, and the issue that relying solely on charging station-level planning introduces significant uncertainty when the vehicle is at a certain distance from the charging station, potentially causing planning failures or requiring multiple replanning attempts. The method includes: obtaining the current battery level of the target vehicle; if the target vehicle's current battery level is lower than a preset level, querying the charging status of charging stations within a preset range of the target vehicle, including charging station occupancy status, navigation data of the currently charging vehicle, and its current battery level; and determining the target charging station based on the charging station occupancy status, the vehicle's navigation data, and its current battery level.

Description

Technical Field

[0001] This invention relates to the field of vehicle technology, and in particular to a vehicle charging planning method and related equipment based on charging stations. Background Technology

[0002] With the widespread use of new energy vehicles, the demand for charging stations is increasing daily. However, the construction speed of charging piles and stations is struggling to keep pace with the rapid growth in the number of new energy vehicles. This is especially true in urban areas with high density of new energy vehicles, where long queues for charging are common. Since charging is significantly slower than refueling, these long queues are likely to occur. Summary of the Invention

[0003] In view of the above problems, the present invention provides a vehicle charging planning method and related equipment based on charging stations. The main purpose is to solve the problems that when there are not enough charging piles, it is impossible to efficiently and reasonably configure charging piles, resulting in long queuing times for charging vehicles. Furthermore, when charging planning and determining charging piles for vehicles are based solely on the charging pile level, there are significant uncertainties when there is a certain distance between the vehicle and the charging pile, which may lead to planning failure or the need for multiple replanning.

[0004] To address at least one of the aforementioned technical problems, in a first aspect, the present invention provides a vehicle charging planning method based on charging stations, the method comprising:

[0005] Obtain the current battery level of the target vehicle;

[0006] If the current battery level of the target vehicle is lower than the preset battery level, query the charging status of charging stations within the preset range of the target vehicle. The charging status includes the occupancy status of charging piles, navigation data of the currently charging vehicle, and the current battery level.

[0007] Based on the occupancy status of the charging piles, the navigation data of the charging vehicles, and the current battery level, the target charging station is determined.

[0008] Optionally, based on the occupancy status of the charging piles, the navigation data of the charging vehicle, and the current battery level, a target charging station is determined, including:

[0009] The destination of the vehicle is determined based on the navigation data;

[0010] Determine the current location of the vehicle and the distance to be traveled to the destination;

[0011] Calculate the estimated power consumption for the distance to be traveled;

[0012] Vehicles whose current battery level is greater than or equal to their estimated battery consumption are selected as candidate vehicles, and the charging piles currently being used by the candidate vehicles are selected as the first candidate charging piles.

[0013] The total number of available charging piles at each charging station is calculated as the sum of the number of the first candidate charging piles.

[0014] The charging station with the largest sum of the number of available charging piles and the number of the first candidate charging piles is selected as the target charging station.

[0015] Optionally, the above methods also include:

[0016] Send a first charging stage prompt message to the candidate vehicle or the mobile terminal of the user to which the candidate vehicle belongs, wherein the first charging stage prompt message includes: a prompt that the current charge is sufficient to travel to the destination and a request to end charging;

[0017] If a feedback message is received indicating that the user has confirmed the end of charging, the first candidate charging station will be selected as the target charging station.

[0018] The total number of available charging piles at each charging station and the target number of charging piles are counted.

[0019] The charging station with the largest sum of the number of available charging piles and the number of target charging piles is selected as the target charging station.

[0020] Optionally, determining the target charging station based on the charging pile occupancy status, the charging vehicle's navigation data, and the current battery level includes:

[0021] If the current battery level is less than the expected power consumption, the vehicle with the smallest difference between its current battery level and its expected power consumption is selected as the candidate vehicle, and the charging pile currently being used by the candidate vehicle is selected as the second candidate charging pile.

[0022] The total number of available charging piles at each charging station and the number of the second candidate charging piles are counted.

[0023] The charging station with the largest sum of the number of available charging piles and the number of the second candidate charging piles is selected as the target charging station.

[0024] Optionally, the above methods also include:

[0025] Send a second charging stage prompt message to the candidate vehicle or the mobile terminal of the user to which the candidate vehicle belongs, wherein the second charging stage prompt message includes: charging until the battery is sufficient for the remaining time to travel to the destination and requesting to end charging in advance;

[0026] If a feedback message is received indicating that the user has confirmed the early termination of charging, the second candidate charging station will be selected as the target charging station.

[0027] The total number of available charging piles at each charging station and the target number of charging piles are counted.

[0028] The charging station with the largest sum of the number of available charging piles and the number of target charging piles is selected as the target charging station.

[0029] Optionally, the above methods also include:

[0030] Send the identification information of the target charging station to the target vehicle.

[0031] Optionally, the above method also includes

[0032] The location information of the target charging station is sent to the target vehicle.

[0033] Secondly, embodiments of the present invention also provide a vehicle charging planning device based on a charging station, comprising:

[0034] The acquisition unit is used to acquire the current battery level of the target vehicle;

[0035] The query unit is used to query the charging status of charging stations within a preset range of the target vehicle when the current battery level of the target vehicle is lower than the preset battery level. The charging status includes the occupancy status of charging piles, navigation data of the currently charging vehicle, and the current battery level.

[0036] The determining unit is used to determine the target charging station based on the occupancy status of the charging pile, the navigation data of the charging vehicle, and the current battery level.

[0037] To achieve the above objectives, according to a third aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium comprising a stored program, wherein the above-described vehicle charging planning method based on charging stations is implemented when the program is executed by a processor.

[0038] To achieve the above objectives, according to a fourth aspect of the present invention, an electronic device is provided, comprising at least one processor and at least one memory connected to the processor; wherein the processor is configured to invoke program instructions in the memory to execute the above-described vehicle charging planning method based on charging stations.

[0039] By employing the above technical solution, the vehicle charging planning method based on charging stations provided by this invention obtains the current battery level of a target vehicle; when the current battery level of the target vehicle is lower than a preset battery level, it queries the charging status of charging stations within a preset range of the target vehicle, the charging status including charging pile occupancy and the navigation data and current battery level of the currently charging vehicle; based on the charging pile occupancy, the navigation data, and the current battery level, it determines the target charging station. Therefore, when the current battery level of the target vehicle is lower than the preset battery level, querying the navigation data and current battery level of the currently charging vehicle at charging stations within the preset range of the target vehicle, and combining the navigation data and current battery level, can preliminarily predict the remaining necessary charging time for vehicles currently using charging piles, thus providing a basis for selecting a suitable charging pile for the target vehicle waiting to charge when no charging pile is available. Furthermore, because it considers the charging pile occupancy of charging stations within a preset range, it can comprehensively consider the number of idle charging piles in each charging station and the number of charging piles with a lower probability of early termination of charging due to a lower expectation of continued charging based on vehicle navigation data and current battery level. Given that it takes time for the target vehicle to reach a nearby charging station, the goal is to ensure that the chosen charging station is available or readily available when the vehicle approaches, thus efficiently and rationally allocating charging stations and avoiding queuing. Furthermore, it avoids the problem of planning charging stations solely based on the location of the charging station, which can lead to significant uncertainties when the vehicle is some distance from the charging station, resulting in planning failures or the need for multiple replannings.

[0040] Correspondingly, the vehicle charging planning device, equipment, and computer-readable storage medium based on charging stations provided in the embodiments of the present invention also have the above-mentioned technical effects.

[0041] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0042] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0043] Figure 1 A flowchart illustrating a vehicle charging planning method based on a charging station provided by an embodiment of the present invention is shown.

[0044] Figure 2 A schematic block diagram of a vehicle charging planning device based on a charging station provided in an embodiment of the present invention is shown.

[0045] Figure 3 This diagram illustrates the composition of a vehicle charging planning electronic device based on a charging station, as provided in an embodiment of the present invention. Detailed Implementation

[0046] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this invention will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0047] To address the issues of insufficient charging stations leading to inefficient and inefficient charging station allocation, resulting in long waiting times for vehicles, and the problem that relying solely on charging station-level planning introduces significant uncertainties when the vehicle is at a certain distance from the charging station, potentially causing planning failures or requiring multiple replanning attempts, this invention provides a vehicle charging planning method based on charging stations. Figure 1 As shown, the method includes:

[0048] S110, Obtain the current battery level of the target vehicle;

[0049] For example, the target vehicle mentioned above can be a new energy vehicle. The current battery level mentioned above can be the remaining battery power of the new energy vehicle.

[0050] S120. If the current battery level of the target vehicle is lower than the preset battery level, query the charging status of charging stations within the preset range of the target vehicle. The charging status includes the occupancy status of charging piles and the navigation data and current battery level of the vehicle currently being charged.

[0051] For example, the preset battery level can be the amount of power sufficient to sustain the vehicle's continued travel for a certain distance. This preset battery level can be set according to the vehicle type. For instance, the preset battery level for a medium-sized vehicle with higher power consumption can be lower than that for a small vehicle with lower power consumption. The preset battery level can also be set based on the vehicle's current location. For example, since the density of charging stations is higher in urban areas than in other areas, the preset battery level for urban areas can be lower than that for other areas.

[0052] For example, the charging status of the aforementioned charging station may include the occupancy status of the charging piles, which can reflect the utilization rate of the charging piles at the charging station or the number of idle charging piles at a charging station.

[0053] For example, the navigation data and current battery level of the currently charging vehicle can be obtained through a charging station electrically connected to the vehicle. For instance, the charging station can communicate with the controller of the charging vehicle via electrical or wireless connection to obtain the current navigation data recorded in the vehicle's controller. The navigation data of all charging vehicles can be obtained through a server of a specific application and a vehicle-side application of the currently charging vehicle; this is not limited to this method.

[0054] It should be noted that navigation data generally includes the vehicle's current location, the vehicle's destination, the passable routes between the vehicle and the destination, and the distance of each route, etc., which are not limited here.

[0055] S130. Based on the occupancy status of the charging pile, the navigation data of the charging vehicle, and the current battery level, determine the target charging station.

[0056] For example, based on the navigation data and current battery level of all charging vehicles, it is possible to initially determine the amount of charge each vehicle needs to reach its destination. This allows for a preliminary prediction of the minimum battery level and charging time required for all vehicles. Consequently, candidate charging stations are identified within the preset range, and based on the data and occupancy status of these candidate charging stations, a target charging station is further determined from all charging stations within the preset range.

[0057] For example, if both charging station A and charging station B are within a preset range, and the sum of the number of candidate charging piles and available charging piles at charging station A is much greater than the sum of the number of candidate charging piles and available charging piles at charging station B, it can be preliminarily determined that the probability of finding an available charging pile after the target vehicle arrives at charging station A is higher than the probability of finding an available charging pile after the target vehicle arrives at charging station B.

[0058] By employing the above technical solution, the vehicle charging planning method based on charging stations provided by this invention obtains the current battery level of a target vehicle; when the current battery level of the target vehicle is lower than a preset battery level, it queries the charging status of charging stations within a preset range of the target vehicle, the charging status including charging pile occupancy and the navigation data and current battery level of the currently charging vehicle; based on the charging pile occupancy, the navigation data, and the current battery level, it determines the target charging station. Therefore, when the current battery level of the target vehicle is lower than the preset battery level, querying the navigation data and current battery level of the currently charging vehicle at charging stations within the preset range of the target vehicle, and combining the navigation data and current battery level, can preliminarily predict the remaining necessary charging time for vehicles currently using charging piles, thus providing a basis for selecting a suitable charging pile for the target vehicle waiting to charge when no charging pile is available. Furthermore, because it considers the charging pile occupancy of charging stations within a preset range, it can comprehensively consider the number of idle charging piles in each charging station and the number of charging piles with a lower probability of early termination of charging due to a lower expectation of continued charging based on vehicle navigation data and current battery level. Given that it takes time for the target vehicle to reach any nearby charging station, we can ensure, as far as possible, that the designated target charging station is within reach of the target vehicle.

[0059] When charging is available, there should be readily available charging stations or charging piles, allowing for efficient and rational allocation of charging stations to avoid queuing for vehicles. Furthermore, charging station allocation should not be based solely on the availability of charging piles.

[0060] This leads to significant uncertainties when there is a certain distance between the vehicle and the charging station, resulting in planning failures or the need for multiple replannings.

[0061] In one embodiment, based on the occupancy status of the charging pile, the navigation data of the charging vehicle, and the current...

[0062] Battery level, target charging station determination, including:

[0063] 0. The destination of the vehicle is determined based on the navigation data;

[0064] Determine the current location of the vehicle and the distance to be traveled to the destination;

[0065] Calculate the estimated power consumption for the distance to be traveled;

[0066] Vehicles whose current battery level is greater than or equal to their estimated battery consumption are selected as candidate vehicles, and the charging piles currently being used by the candidate vehicles are selected as the first candidate charging piles.

[0067] 5. Calculate the sum of the number of available charging piles at each charging station and the number of the first candidate charging piles;

[0068] The charging station with the largest sum of the number of available charging piles and the number of the first candidate charging piles is selected as the target charging station.

[0069] For example, if the current battery level is greater than or equal to its estimated battery consumption, it indicates that it is charging.

[0070] The electric vehicles already have enough charge to reach their destination. Therefore, the vehicles currently charging (0% charge) have already reached their necessary charging level. Without other special factors, the users of these vehicles are unlikely to be strongly inclined to continue charging. If a user is in a hurry and time-sensitive, knowing that the current charge level has reached their necessary level, they are likely to choose not to continue charging or at least stop charging prematurely. The charging stations used by these vehicles can be selected as candidate charging stations.

[0071] 5. For example, the navigation data can also be used to determine the location of a charging station near the destination of the vehicle, and to determine the distance to be traveled between the current location of the vehicle and the location of the charging station near the destination, so as to ensure that the user stops charging in advance, and that the current battery level is not only sufficient to support the vehicle to travel to the destination, but also sufficient to ensure that the user has enough battery level to travel to the charging station near the destination when leaving the destination.

[0072] In one embodiment, the method further includes:

[0073] Send a first charging stage prompt message to the candidate vehicle or the mobile terminal of the user to which the candidate vehicle belongs, wherein the first charging stage prompt message includes: a prompt that the current charge is sufficient to travel to the destination and a request to end charging;

[0074] If a feedback message is received indicating that the user has confirmed the end of charging, the first candidate charging station will be selected as the target charging station.

[0075] The total number of available charging piles at each charging station and the target number of charging piles are counted.

[0076] The charging station with the largest sum of the number of available charging piles and the number of target charging piles is selected as the target charging station.

[0077] In one embodiment, determining the target charging station based on the charging pile occupancy status, the charging vehicle's navigation data, and the current battery level includes:

[0078] If the current battery level is less than the expected power consumption, the vehicle with the smallest difference between its current battery level and its expected power consumption is selected as the candidate vehicle, and the charging pile currently being used by the candidate vehicle is selected as the second candidate charging pile.

[0079] The total number of available charging piles at each charging station and the number of the second candidate charging piles are counted.

[0080] The charging station with the largest sum of the number of available charging piles and the number of the second candidate charging piles is selected as the target charging station.

[0081] For example, when the current battery level is less than the vehicle's expected power consumption, the vehicle with the smallest difference between its current battery level and expected power consumption is selected as the candidate vehicle. This indicates that among the charging vehicles, the candidate vehicle is likely to reach the required battery level to reach its destination the fastest. Therefore, since the charging vehicle has reached its necessary charge level, and there are no other special factors affecting it, the user of the candidate vehicle may not have a strong desire to continue charging. If the user is in a hurry and is time-sensitive, they are likely to choose not to continue charging or at least stop charging early upon learning that the current battery level has reached their necessary charge level. Therefore, the charging station used by the candidate charging station can be selected as the candidate charging station, i.e., the charging station that is likely to finish charging the fastest.

[0082] In one embodiment, the method further includes:

[0083] Send a second charging stage prompt message to the candidate vehicle or the mobile terminal of the user to which the candidate vehicle belongs, wherein the second charging stage prompt message includes: charging until the battery is sufficient for the remaining time to travel to the destination and requesting to end charging in advance;

[0084] If a feedback message is received indicating that the user has confirmed the early termination of charging, the second candidate charging station will be selected as the target charging station.

[0085] The total number of available charging piles at each charging station and the target number of charging piles are counted.

[0086] The charging station with the largest sum of the number of available charging piles and the number of target charging piles is selected as the target charging station.

[0087] In one embodiment, the above method further includes:

[0088] Send the identification information of the target charging station to the target vehicle.

[0089] In one embodiment, the above method further includes

[0090] The location information of the target charging station is sent to the target vehicle.

[0091] Furthermore, as a response to the above Figure 1 In addition to the implementation of the method shown, this embodiment of the invention also provides a vehicle charging planning device based on a charging station, used for the above-mentioned... Figure 1 The method shown is implemented accordingly. This device embodiment corresponds to the foregoing method embodiment. For ease of reading, this device embodiment will not repeat the details of the foregoing method embodiment, but it should be clear that the device in this embodiment can implement all the contents of the foregoing method embodiment. Figure 2 As shown, the device includes: an acquisition unit 210, a query unit 220, and a determination unit 230, wherein...

[0092] Acquisition unit 210 is used to acquire the current battery level of the target vehicle;

[0093] The query unit 220 is used to query the charging status of charging stations within a preset range of the target vehicle when the current battery level of the target vehicle is lower than the preset battery level. The charging status includes the occupancy status of charging piles, navigation data of the currently charging vehicle, and the current battery level.

[0094] The determining unit 230 is used to determine the target charging station based on the occupancy status of the charging pile, the navigation data of the charging vehicle, and the current battery level.

[0095] By employing the above technical solution, the vehicle charging planning device based on charging stations provided by this invention obtains the current battery level of a target vehicle; when the current battery level of the target vehicle is lower than a preset battery level, it queries the charging status of charging stations within a preset range of the target vehicle. The charging status includes the occupancy status of charging piles and the navigation data and current battery level of the currently charging vehicle; based on the charging pile occupancy status, the navigation data of the charging vehicle, and the current battery level, it determines the target charging station. Therefore, when the current battery level of the target vehicle is lower than the preset battery level, querying the navigation data and current battery level of the currently charging vehicle at charging stations within the preset range of the target vehicle, and combining the navigation data and current battery level of the charging vehicle, can preliminarily predict the remaining necessary charging time for the currently using charging piles, thus providing a basis for the target vehicle waiting to charge to select a suitable charging pile when no charging pile is available. Furthermore, because it considers the charging pile occupancy status of charging stations within a preset range, it can comprehensively consider the number of idle charging piles in each charging station and the number of charging piles with a lower probability of early termination of charging due to a lower expectation of continued charging based on vehicle navigation data and current battery level. Given that it takes time for the target vehicle to reach a nearby charging station, the goal is to ensure that the chosen charging station is available or readily available when the vehicle approaches, thus efficiently and rationally allocating charging stations and avoiding queuing. Furthermore, it avoids the problem of planning charging stations solely based on the location of the charging station, which can lead to significant uncertainties when the vehicle is some distance from the charging station, resulting in planning failures or the need for multiple replannings.

[0096] The processor contains a kernel, which retrieves the corresponding program units from memory. One or more kernels can be configured, and by adjusting kernel parameters, a vehicle charging planning method based on charging stations can be implemented. This method can solve the problems of inefficient and unreasonable allocation of charging stations when there are insufficient charging stations, resulting in long waiting times for charging vehicles. Furthermore, it addresses the issue that determining charging stations based solely on the charging station level introduces significant uncertainties when there is a distance between the vehicle and the charging station, leading to planning failures or the need for multiple replanning attempts.

[0097] This invention provides a computer-readable storage medium including a stored program that, when executed by a processor, implements the above-described vehicle charging planning method based on charging stations.

[0098] This invention provides a processor for running a program, wherein the program executes the vehicle charging planning method based on charging stations.

[0099] This invention provides an electronic device, which includes at least one processor and at least one memory connected to the processor; wherein the processor is used to call program instructions in the memory to execute the vehicle charging planning method based on charging stations as described above.

[0100] This invention provides an electronic device 30, such as... Figure 3 As shown, the electronic device includes at least one processor 301, and at least one memory 302 and a bus 303 connected to the processor; wherein, the processor 301 and the memory 302 communicate with each other through the bus 303; the processor 301 is used to call program instructions in the memory:

[0101] Obtain the current battery level of the target vehicle;

[0102] If the current battery level of the target vehicle is lower than the preset battery level, query the charging status of charging stations within the preset range of the target vehicle. The charging status includes the occupancy status of charging piles, navigation data of the currently charging vehicle, and the current battery level.

[0103] Based on the occupancy status of the charging piles, the navigation data of the charging vehicles, and the current battery level, the target charging station is determined.

[0104] Optionally, based on the occupancy status of the charging piles, the navigation data of the charging vehicle, and the current battery level, a target charging station is determined, including:

[0105] The destination of the vehicle is determined based on the navigation data;

[0106] Determine the current location of the vehicle and the distance to be traveled to the destination;

[0107] Calculate the estimated power consumption for the distance to be traveled;

[0108] Vehicles whose current battery level is greater than or equal to their estimated battery consumption are selected as candidate vehicles, and the charging piles currently being used by the candidate vehicles are selected as the first candidate charging piles.

[0109] The total number of available charging piles at each charging station is calculated as the sum of the number of the first candidate charging piles.

[0110] The charging station with the largest sum of the number of available charging piles and the number of the first candidate charging piles is selected as the target charging station.

[0111] Optionally, the above methods also include:

[0112] Send a first charging stage prompt message to the candidate vehicle or the mobile terminal of the user to which the candidate vehicle belongs, wherein the first charging stage prompt message includes: a prompt that the current charge is sufficient to travel to the destination and a request to end charging;

[0113] If a feedback message is received indicating that the user has confirmed the end of charging, the first candidate charging station will be selected as the target charging station.

[0114] The total number of available charging piles at each charging station and the target number of charging piles are counted.

[0115] The charging station with the largest sum of the number of available charging piles and the number of target charging piles is selected as the target charging station.

[0116] Optionally, determining the target charging station based on the charging pile occupancy status, the charging vehicle's navigation data, and the current battery level includes:

[0117] If the current battery level is less than the expected power consumption, the vehicle with the smallest difference between its current battery level and its expected power consumption is selected as the candidate vehicle, and the charging pile currently being used by the candidate vehicle is selected as the second candidate charging pile.

[0118] The total number of available charging piles at each charging station and the number of the second candidate charging piles are counted.

[0119] The charging station with the largest sum of the number of available charging piles and the number of the second candidate charging piles is selected as the target charging station.

[0120] Optionally, the above methods also include:

[0121] Send a second charging stage prompt message to the candidate vehicle or the mobile terminal of the user to which the candidate vehicle belongs, wherein the second charging stage prompt message includes: charging until the battery is sufficient for the remaining time to travel to the destination and requesting to end charging in advance;

[0122] If a feedback message is received indicating that the user has confirmed the early termination of charging, the second candidate charging station will be selected as the target charging station.

[0123] The total number of available charging piles at each charging station and the target number of charging piles are counted.

[0124] The charging station with the largest sum of the number of available charging piles and the number of target charging piles is selected as the target charging station.

[0125] Optionally, the above methods also include:

[0126] Send the identification information of the target charging station to the target vehicle.

[0127] Optionally, the above method also includes

[0128] The location information of the target charging station is sent to the target vehicle.

[0129] To implement the above-described vehicle charging planning method based on charging stations.

[0130] This application also provides a computer program product, which, when executed on a process management electronic device, is suitable for executing a program that initializes the following method steps:

[0131] Obtain the current battery level of the target vehicle;

[0132] If the current battery level of the target vehicle is lower than the preset battery level, query the charging status of charging stations within the preset range of the target vehicle. The charging status includes the occupancy status of charging piles, navigation data of the currently charging vehicle, and the current battery level.

[0133] Based on the occupancy status of the charging piles, the navigation data of the charging vehicles, and the current battery level, the target charging station is determined.

[0134] Optionally, based on the occupancy status of the charging piles, the navigation data of the charging vehicle, and the current battery level, a target charging station is determined, including:

[0135] The destination of the vehicle is determined based on the navigation data;

[0136] Determine the current location of the vehicle and the distance to be traveled to the destination;

[0137] Calculate the estimated power consumption for the distance to be traveled;

[0138] Vehicles whose current battery level is greater than or equal to their estimated battery consumption are selected as candidate vehicles, and the charging piles currently being used by the candidate vehicles are selected as the first candidate charging piles.

[0139] The total number of available charging piles at each charging station is calculated as the sum of the number of the first candidate charging piles.

[0140] The charging station with the largest sum of the number of available charging piles and the number of the first candidate charging piles is selected as the target charging station.

[0141] Optionally, the above methods also include:

[0142] Send a first charging stage prompt message to the candidate vehicle or the mobile terminal of the user to which the candidate vehicle belongs, wherein the first charging stage prompt message includes: a prompt that the current charge is sufficient to travel to the destination and a request to end charging;

[0143] If a feedback message is received indicating that the user has confirmed the end of charging, the first candidate charging station will be selected as the target charging station.

[0144] The total number of available charging piles at each charging station and the target number of charging piles are counted.

[0145] The charging station with the largest sum of the number of available charging piles and the number of target charging piles is selected as the target charging station.

[0146] Optionally, determining the target charging station based on the charging pile occupancy status, the charging vehicle's navigation data, and the current battery level includes:

[0147] If the current battery level is less than the expected power consumption, the vehicle with the smallest difference between its current battery level and its expected power consumption is selected as the candidate vehicle, and the charging pile currently being used by the candidate vehicle is selected as the second candidate charging pile.

[0148] The total number of available charging piles at each charging station and the number of the second candidate charging piles are counted.

[0149] The charging station with the largest sum of the number of available charging piles and the number of the second candidate charging piles is selected as the target charging station.

[0150] Optionally, the above methods also include:

[0151] Send a second charging stage prompt message to the candidate vehicle or the mobile terminal of the user to which the candidate vehicle belongs, wherein the second charging stage prompt message includes: charging until the battery is sufficient for the remaining time to travel to the destination and requesting to end charging in advance;

[0152] If a feedback message is received indicating that the user has confirmed the early termination of charging, the second candidate charging station will be selected as the target charging station.

[0153] The total number of available charging piles at each charging station and the target number of charging piles are counted.

[0154] The charging station with the largest sum of the number of available charging piles and the number of target charging piles is selected as the target charging station.

[0155] Optionally, the above methods also include:

[0156] Send the identification information of the target charging station to the target vehicle.

[0157] Optionally, the above method also includes

[0158] The location information of the target charging station is sent to the target vehicle.

[0159] This application is described with reference to flowchart illustrations and / or block diagrams of methods, electronic devices (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable process management electronic device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable process management electronic device, generate instructions for implementing the process... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0160] In a typical configuration, an electronic device includes one or more processors (CPUs), memory, and a bus. The electronic device may also include input / output interfaces, network interfaces, etc.

[0161] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, like read-only memory (ROM) or flash RAM, and memory includes at least one memory chip. Memory is an example of computer-readable media.

[0162] Computer-readable media, including both permanent and non-permanent, removable and non-removable media, can store information using any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer-readable storage media for computers include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage electronic devices, or any other non-transferable medium that can be used to store information accessible to a computing electronic device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0163] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or electronic device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or electronic device. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or electronic device that includes that element.

[0164] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable, computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0165] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A vehicle charging planning method based on charging stations, characterized in that, include: Obtain the current battery level of the target vehicle; If the current battery level of the target vehicle is lower than the preset battery level, query the charging status of charging stations within the preset range of the target vehicle. The charging status includes the occupancy status of charging piles, navigation data of the currently charging vehicle, and the current battery level. Based on the occupancy status of the charging piles, the navigation data of the charging vehicles, and the current battery level, the target charging station is determined; Based on the occupancy status of the charging piles, the navigation data of the charging vehicles, and the current battery level, the target charging station is determined, including: The destination of the vehicle is determined based on the navigation data; Determine the current location of the vehicle and the distance to be traveled to the destination; Calculate the estimated power consumption for the distance to be traveled; Vehicles whose current battery level is greater than or equal to their estimated battery consumption are selected as candidate vehicles, and the charging piles currently being used by the candidate vehicles are selected as the first candidate charging piles. The total number of available charging piles at each charging station is calculated as the sum of the number of the first candidate charging piles. The charging station with the largest sum of the number of available charging piles and the number of the first candidate charging piles is selected as the target charging station. If the current battery level is less than the expected power consumption, the vehicle with the smallest difference between its current battery level and its expected power consumption is selected as the candidate vehicle, and the charging pile currently being used by the candidate vehicle is selected as the second candidate charging pile. The total number of available charging piles at each charging station and the number of the second candidate charging piles are counted. The charging station with the largest sum of the number of available charging piles and the number of the second candidate charging piles is selected as the target charging station.

2. The method according to claim 1, characterized in that, Also includes: Send a first charging stage prompt message to the candidate vehicle or the mobile terminal of the user to which the candidate vehicle belongs, wherein the first charging stage prompt message includes: a prompt that the current charge is sufficient to travel to the destination and a request to end charging; If a feedback message is received indicating that the user has confirmed the end of charging, the first candidate charging station will be selected as the target charging station. The total number of available charging piles at each charging station and the target number of charging piles are counted. The charging station with the largest sum of the number of available charging piles and the number of target charging piles is selected as the target charging station.

3. The method according to claim 1, characterized in that, Also includes: Send a second charging stage prompt message to the candidate vehicle or the mobile terminal of the user to which the candidate vehicle belongs, wherein the second charging stage prompt message includes: charging until the battery is sufficient for the remaining time to travel to the destination and requesting to end charging in advance; If a feedback message is received indicating that the user has confirmed the early termination of charging, the second candidate charging station will be selected as the target charging station. The total number of available charging piles at each charging station and the target number of charging piles are counted. The charging station with the largest sum of the number of available charging piles and the number of target charging piles is selected as the target charging station.

4. The method according to claim 2 or 3, characterized in that, Also includes: Send the identification information of the target charging station to the target vehicle.

5. The method according to claim 1, characterized in that, Also includes The location information of the target charging station is sent to the target vehicle.

6. A vehicle charging planning device based on a charging station, characterized in that, include: The acquisition unit is used to acquire the current battery level of the target vehicle; The query unit is used to query the charging status of charging stations within a preset range of the target vehicle when the current battery level of the target vehicle is lower than the preset battery level. The charging status includes the occupancy status of charging piles, navigation data of the currently charging vehicle, and the current battery level. The determining unit is used to determine the target charging station based on the occupancy status of the charging pile, the navigation data of the charging vehicle, and the current battery level. The determining unit is specifically used for: The destination of the vehicle is determined based on the navigation data; Determine the current location of the vehicle and the distance to be traveled to the destination; Calculate the estimated power consumption for the distance to be traveled; Vehicles whose current battery level is greater than or equal to their estimated battery consumption are selected as candidate vehicles, and the charging piles currently being used by the candidate vehicles are selected as the first candidate charging piles. The total number of available charging piles at each charging station is calculated as the sum of the number of the first candidate charging piles. The charging station with the largest sum of the number of available charging piles and the number of the first candidate charging piles is selected as the target charging station. If the current battery level is less than the expected power consumption, the vehicle with the smallest difference between its current battery level and its expected power consumption is selected as the candidate vehicle, and the charging pile currently being used by the candidate vehicle is selected as the second candidate charging pile. The total number of available charging piles at each charging station and the number of the second candidate charging piles are counted. The charging station with the largest sum of the number of available charging piles and the number of the second candidate charging piles is selected as the target charging station.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed by a processor, it implements the vehicle charging planning method based on a charging station as described in any one of claims 1 to 5.

8. An electronic device, characterized in that, The electronic device includes at least one processor and at least one memory connected to the processor; wherein the processor is used to call program instructions in the memory to execute the vehicle charging planning method based on a charging station as described in any one of claims 1 to 5.

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