CN117591756A

CN117591756A - Charging and replacing recommendation method

Info

Publication number: CN117591756A
Application number: CN202311433521.1A
Authority: CN
Inventors: 张竣博; 彭俊铭; 嵇辛宇
Original assignee: Beijing Sankuai Online Technology Co Ltd
Current assignee: Beijing Sankuai Online Technology Co Ltd
Priority date: 2023-10-31
Filing date: 2023-10-31
Publication date: 2024-02-23

Abstract

The application provides a charging and battery replacement recommendation method, and belongs to the technical field of computers. The method comprises the following steps: acquiring the electric quantity of an electric carrier with distribution capacity; under the condition that the electric quantity of the electric vehicle meets a first condition, determining a charging cabinet which meets a distance condition with the distances of a plurality of orders to be distributed in a destination address set of the orders to be distributed based on order information of the orders to be distributed in a task list of the distribution capacity and the positions of the charging cabinets in a geographical area where the distribution capacity is located; and recommending the determined charging and replacing cabinet to the distribution capacity so that the distribution capacity can be used for supplementing the electric quantity to the charging and replacing cabinet before the electric quantity of the electric vehicle is exhausted. According to the scheme, the distribution capacity is guided to run to the charging and replacing cabinet to supplement the electric quantity before the electric quantity is consumed by matching with the distribution process of the order, the influence of the electric vehicle to supplement the electric quantity on the order distribution is reduced, and the order distribution efficiency is improved.

Description

Charging and replacing recommendation method

Technical Field

The application relates to the technical field of computers, in particular to a charging and replacing recommendation method.

Background

With the continuous development of new energy technology, an electric vehicle is generally used for order distribution, but the condition that the electric vehicle is not powered is frequently encountered in the distribution process, so that subsequent orders cannot be distributed, and the distribution efficiency of the orders is seriously affected.

In the related art, the charging/discharging is only performed when the electric quantity of the electric vehicle is low. However, in an order delivery scenario, an electric vehicle often has multiple delivery tasks, some delivery tasks are pick-ups, some delivery tasks are delivery, and multiple delivery tasks also overlap in route. Therefore, how to complete the charging and the changing without overtime and exhaustion of the electric quantity of all orders is a complex technical problem which needs to be solved.

Disclosure of Invention

The embodiment of the application provides a charging and replacing recommendation method, which is matched with the distribution process of orders, and guides distribution capacity to run to a charging and replacing cabinet to supplement electric quantity before the electric quantity is consumed, so that the influence of the electric vehicle to supplement electric quantity on order distribution is reduced, and the order distribution efficiency is improved. The technical scheme is as follows:

in one aspect, a charging recommendation method is provided, the method including:

acquiring the electric quantity of an electric carrier with distribution capacity;

under the condition that the electric quantity of the electric vehicle meets a first condition, determining a charging cabinet which meets a distance condition with the distances of a plurality of orders to be distributed in a destination address set of the orders to be distributed based on order information of the orders to be distributed in a task list of the distribution capacity and the positions of the charging cabinets in a geographical area where the distribution capacity is located, wherein the first condition is used for indicating a condition that the electric vehicle needs to be charged, and the destination address of the orders to be distributed comprises a distribution address and/or a pickup address of the orders to be distributed;

And recommending the determined charging and replacing cabinet to the distribution capacity, so that the distribution capacity can supplement electric quantity before the electric quantity of the electric vehicle is exhausted to the charging and replacing cabinet.

In one possible implementation manner, determining a charging cabinet whose distances from a plurality of orders to be distributed in a destination address set satisfy a distance condition based on order information of the plurality of orders to be distributed in the task list of the distribution capacity and a position of the charging cabinet located in a geographical area where the distribution capacity is located includes:

obtaining at least one order set based on order information of a plurality of orders to be distributed in the task list of the distribution capacity, wherein the distance between destination addresses of the orders to be distributed in the order set does not exceed a first threshold;

and determining the charging cabinet, the distance between the charging cabinet and the area corresponding to the order set of which meets the distance condition, based on the position of the charging cabinet in the geographical area where the distribution capacity is located.

In a possible implementation manner, the determining, based on the location of the battery-charging cabinet located in the geographic area where the distribution capacity is located, the battery-charging cabinet whose distance from the area corresponding to the order set meets the distance condition includes:

Determining a target order set which is preferentially distributed from the at least one order set;

and determining a charging and replacing station with the distance meeting the distance condition from the area corresponding to the target order set based on the position of the battery-replacing cabinet in the geographical area where the distribution capacity is located.

In one possible implementation manner, the determining a target order set of preferential distribution from the at least one order set includes:

determining a delivery sequence of each order set based on at least one of the quantity of a plurality of orders to be delivered in each order set, the delivery time limit of the plurality of orders to be delivered, the distance between destination addresses of the plurality of orders to be delivered and the current position of the delivery capacity, and determining a target order set of preferential delivery;

or,

displaying a distribution setting interface, wherein the distribution setting interface is used for displaying distribution conditions of the at least one order set or a plurality of orders to be distributed in the order set on an electronic map; and determining the order set as the target order set according to the selection of the order set in the distribution setting interface.

And determining a charging cabinet which can be reached before the electricity consumption in the process of delivering the orders according to the delivery sequence by the delivery capacity based on the current position of the electric vehicle, the current electric quantity of the electric vehicle, the delivery time limit of the orders to be delivered in the order set and the destination addresses of the orders to be delivered in the order set.

In one possible implementation manner, the determining, based on order information of a plurality of to-be-delivered orders in the task list of the delivery capacity and a position of a charging cabinet located in a geographical area where the delivery capacity is located, the charging cabinet whose distances from a plurality of to-be-delivered orders in a destination address set of the to-be-delivered orders satisfy a distance condition includes:

determining a priority delivery order indicated by at least one of a delivery time limit and a delivery distance in a task list based on the delivery time limit and/or the delivery distance of a plurality of orders to be delivered in the task list of the delivery capacity;

and determining the charging cabinet which has the distance with the priority order to be distributed in the destination address set and meets the distance condition based on the position of the charging cabinet in the geographical area where the distribution capacity is located.

In another aspect, a charging recommendation method is provided, the method including:

determining an amount of power for an automatically driven electric vehicle that performs a delivery mission;

receiving charging cabinet information of a charging cabinet, which is recommended by the server based on order information of a plurality of orders to be distributed in a task list of the electric vehicle and the positions of the charging cabinets in a geographic area where the electric vehicle is located, and the distances between the charging cabinet information and the plurality of orders to be distributed in a destination address set, wherein the distances between the charging cabinet information and the plurality of orders to be distributed meet a distance condition, and the first condition is used for indicating a condition that the electric vehicle needs to be charged;

and according to the address in the destination address set, driving to the position of the charging and changing cabinet under the guidance of route planning, and automatically or manually assisting to complete the butt joint with the charging and changing cabinet so as to supplement electric quantity.

displaying an electric cabinet recommendation interface based on the logged account number of the distribution capacity;

in the electric cabinet recommendation interface, a display server recommends electric vehicle with delivery capacity for the electric vehicle based on order information of a plurality of orders to be delivered in a task list of the delivery capacity and the position of a charging cabinet located in a geographical area where the delivery capacity is located, wherein the distance between the electric vehicle with delivery capacity and the plurality of orders to be delivered in a destination address set of the orders to be delivered meets charging cabinet information of the charging cabinet of a distance condition, the charging cabinet is recommended by the server under the condition that electric quantity of the electric vehicle meets a first condition, and the first condition is used for indicating the condition that the electric vehicle needs to be charged.

In one possible implementation manner, in the electrical cabinet recommendation interface, the display server, based on order information of a plurality of to-be-delivered orders in the task list of the delivery capacity and a position of a charging cabinet located in a geographic area where the delivery capacity is located, recommends charging cabinet information of the charging cabinet, for the electric vehicle of the delivery capacity, that distances between the plurality of to-be-delivered orders in a destination address set of the to-be-delivered orders meet a distance condition, including:

displaying the distribution condition of at least one order set on an electronic map in the electric cabinet recommendation interface, wherein the distance between destination addresses of orders to be distributed in the order set does not exceed a first threshold;

and displaying the distribution condition of the charging and replacing cabinets, which are provided with the distances to a plurality of orders to be distributed in the order set and meet the distance condition, on the electronic map.

In another aspect, a charging recommendation device is provided, the device including:

the acquisition module is used for acquiring the electric quantity of the electric vehicle with the delivery capacity;

the determining module is used for determining a charging cabinet which is in a concentrated distance with a destination address of a plurality of orders to be distributed and meets a distance condition based on order information of the orders to be distributed in a task list of the distribution capacity and the position of the charging cabinet in a geographical area where the distribution capacity is located under the condition that the electric quantity of the electric vehicle meets a first condition, wherein the first condition is used for indicating a condition that the electric vehicle needs to be charged, and the destination address of the orders to be distributed comprises a distribution address and/or a pickup address of the orders to be distributed;

And the recommending module is used for recommending the determined charging and replacing cabinet to the distribution capacity so that the distribution capacity can be used for supplementing the electric quantity before the electric quantity of the electric vehicle is exhausted to the charging and replacing cabinet.

In one possible implementation, the determining module includes:

the acquisition unit is used for acquiring at least one order set based on order information of a plurality of orders to be distributed in the task list of the distribution capacity, wherein the distance between destination addresses of the orders to be distributed in the order set does not exceed a first threshold;

and the determining unit is used for determining the charging cabinet, the distance between the charging cabinet and the area corresponding to the order set of which meets the distance condition, based on the position of the charging cabinet in the geographical area where the distribution capacity is located.

In a possible implementation manner, the determining unit is configured to determine a target order set that is preferentially distributed from the at least one order set; and determining a charging and replacing station with the distance meeting the distance condition from the area corresponding to the target order set based on the position of the battery-replacing cabinet in the geographical area where the distribution capacity is located.

In one possible implementation manner, the determining unit is configured to determine a delivery order of each order set, and determine a target order set of preferential delivery, based on at least one of a number of orders to be delivered in each order set, a delivery time limit of the orders to be delivered, a distance between destination addresses of the orders to be delivered, and a current location of the delivery capacity;

Or,

the determining unit is used for displaying a distribution setting interface, and the distribution setting interface is used for displaying distribution conditions of the at least one order set or a plurality of orders to be distributed in the order set on the electronic map; and determining the order set as the target order set according to the selection of the order set in the distribution setting interface.

In one possible implementation manner, the determining unit is configured to determine, based on a current position of the electric vehicle, a current electric quantity of the electric vehicle, a delivery time limit of a plurality of orders to be delivered in the order set, and destination addresses of the plurality of orders to be delivered in the order set, a charging cabinet that can be reached before the electric quantity is exhausted in a process of delivering the plurality of orders to be delivered in a delivery sequence by the delivery capacity.

In one possible implementation manner, the determining module is configured to determine, based on arrival time periods and/or delivery distances of a plurality of orders to be delivered in the task list of the delivery capacity, a priority delivery order indicated by at least one of the arrival time periods and the delivery distances in the task list; and determining the charging cabinet which has the distance with the priority order to be distributed in the destination address set and meets the distance condition based on the position of the charging cabinet in the geographical area where the distribution capacity is located.

the determining module is used for determining the electric quantity of the automatic driving electric vehicle for executing the distribution task;

the receiving module is used for receiving order information of a plurality of orders to be distributed in a task list of the electric vehicle and charging cabinet information of a charging cabinet, which is recommended by the server and is located in the position of the charging cabinet of the geographic area where the electric vehicle is located, of the plurality of orders to be distributed, wherein the distances between the charging cabinet and the plurality of orders to be distributed in the destination address set meet a distance condition under the condition that the electric quantity meets a first condition, and the first condition is used for indicating a condition that the electric vehicle needs to be charged;

and the driving module is used for driving to the position of the charging and changing cabinet under the guidance of route planning according to the address in the destination address set, and automatically or manually assisting the driving module to complete the butt joint with the charging and changing cabinet so as to supplement electric quantity.

the display module is used for displaying an electric cabinet recommendation interface based on the logged account number of the distribution capacity;

the display module is further configured to, in the electric cabinet recommendation interface, display, based on order information of a plurality of orders to be distributed in the task list of the distribution capacity and a position of a charging and changing electric cabinet located in a geographical area where the distribution capacity is located, recommend for an electric vehicle of the distribution capacity charging and changing electric cabinet information of the charging and changing electric cabinet that a distance between the electric vehicle and a plurality of orders to be distributed in a destination address set of the orders to be distributed meets a distance condition, where the charging and changing electric cabinet is recommended by the server when electric quantity of the electric vehicle meets a first condition, and the first condition is used for indicating a condition that the electric vehicle needs to be charged.

In a possible implementation manner, the display module is configured to display, in the electric cabinet recommendation interface, a distribution condition of each order set on an electronic map, where a distance between destination addresses of orders to be distributed included in the order set does not exceed a first threshold; and displaying the distribution condition of the charging and replacing cabinets, which are provided with the distances to a plurality of orders to be distributed in the order set and meet the distance condition, on the electronic map.

In another aspect, a server is provided, where the server includes a processor and a memory, where the memory stores at least one program code, and the at least one program code is loaded and executed by the processor to implement the charging recommendation method according to any of the above implementations.

In another aspect, an electric vehicle is provided, the electric vehicle includes a processor and a memory, and at least one program code is stored in the memory, and the at least one program code is loaded and executed by the processor, so as to implement the charging recommendation method according to any implementation manner.

In another aspect, a terminal is provided, the terminal including a processor and a memory, the memory storing at least one program code, the at least one program code loaded and executed by the processor to implement the charging recommendation method according to any of the above implementations.

In another aspect, a computer readable storage medium is provided, in which at least one program code is stored, the at least one program code being loaded and executed by a processor to implement the charging recommendation method according to any one of the above-mentioned implementations.

In another aspect, a computer program product is provided, the computer program product comprising at least one piece of program code that is loaded and executed by a processor to implement a power up recommendation method as described in any of the above implementations.

The beneficial effects of the technical scheme provided by the embodiment of the application at least comprise:

the embodiment of the application provides a charging and replacing recommendation method, when an electric carrier needs to be charged, a charging and replacing cabinet which is close to a plurality of orders to be distributed of the distribution capacity is recommended for the distribution capacity, so that the charging and replacing cabinet can be used for completing the supplement of electric quantity when the orders to be distributed are distributed, and the charging and replacing cabinet and the orders to be distributed are close in distance, and can be driven to the charging and replacing cabinet before the electric quantity of the electric carrier is exhausted as much as possible, the influence of charging and replacing on order distribution is reduced, and the order distribution efficiency is improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic illustration of an implementation environment provided by embodiments of the present application;

FIG. 2 is a schematic diagram of an implementation environment provided by embodiments of the present application;

FIG. 3 is a schematic diagram of an implementation environment provided by embodiments of the present application;

fig. 4 is a flowchart of a charging recommendation method provided in an embodiment of the present application;

fig. 5 is a flowchart of a charging recommendation method provided in an embodiment of the present application;

fig. 6 is a flowchart of a charging recommendation method provided in an embodiment of the present application;

fig. 7 is a schematic diagram of an electrical cabinet recommendation interface provided in an embodiment of the present application;

fig. 8 is a flowchart of a charging recommendation method provided in an embodiment of the present application;

fig. 9 is a schematic structural diagram of a charging recommendation device according to an embodiment of the present application;

Fig. 10 is a schematic structural diagram of a charging recommendation device according to an embodiment of the present application;

fig. 11 is a schematic structural diagram of a charging recommendation device according to an embodiment of the present application;

fig. 12 is a schematic structural diagram of a terminal according to an embodiment of the present application;

fig. 13 is a schematic structural diagram of a server according to an embodiment of the present application.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

The terms "first," "second," "third," and "fourth" and the like in the description and in the claims of this application and in the drawings, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprising," "including," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.

It should be noted that, all actions for acquiring signals, information or data in the present application are performed under the condition of conforming to the corresponding data protection rule policy of the country of the location and obtaining the authorization given by the owner of the corresponding device.

FIG. 1 is a schematic diagram of an implementation environment provided by embodiments of the present application. The implementation environment includes an electric vehicle 101 and a server 102. The electric carrier 101 establishes a communication connection with the server 102 in a wireless or wired manner.

The electric vehicle 101 is a vehicle that drives traveling based on electric energy. In some embodiments, the electric vehicle 101 may be an electric car, an electric bicycle, an electric tricycle, an electric motorcycle, or the like. The embodiment of the present application does not limit the electric vehicle 101. In some embodiments, electric vehicle 101 has an autopilot function. In other embodiments, the electric vehicle 101 does not have an autopilot function, and a user is required to operate the electric vehicle 101. The embodiments of the present application are not limited in this regard.

In some embodiments, the electric vehicle 101 detects its own electric quantity and reports the electric quantity to the server 102, and the server 102 determines, based on order information of a plurality of orders to be distributed in a task list of the electric vehicle and a position of a charging cabinet located in a geographic area where the electric vehicle is located, a charging cabinet whose distance from a plurality of orders to be distributed in a destination address set meets a distance condition, where the first condition is used to indicate a condition that the electric vehicle needs to be charged. The server 102 recommends the charging cabinet to the electric vehicle 101. And the electric carrier runs to the position of the charging and changing cabinet under the guidance of route planning according to the address in the destination address set, and automatically or manually assisted to complete the butt joint with the charging and changing cabinet so as to supplement electric quantity.

FIG. 2 is a schematic diagram of an implementation environment provided by embodiments of the present application. The implementation environment comprises an electric carrier 101, a server 102 and a terminal 103, wherein the electric carrier 101 and the server 102 are in wireless or wired communication connection, and the terminal 103 and the server 102 are in wireless or wired communication connection.

The electric vehicle 101 is an electric vehicle used for completing a delivery task by delivery capacity, and the terminal 103 registers a delivery capacity account number and is used for managing the electric vehicle 101.

In some embodiments, the terminal 103 installs thereon a target application served by the server 102, through which the terminal 103 can implement functions such as data transmission, message interaction, and the like. Alternatively, the target application is a target application in an operating system of the terminal 103 or a target application provided for a third party. For example, the target application is an electric vehicle management application for guiding the electric vehicle 101 to a suitable charging cabinet for charging and changing when the electric vehicle 101 is under-charged. Currently, the electric vehicle management application can also have other functions, such as a distribution task management function, a navigation function, and the like.

Optionally, the terminal 103 is a computer, a mobile phone, a tablet computer, or other terminals. Optionally, the server 102 is a background server of the target application or a cloud server providing services such as cloud computing and cloud storage.

In some embodiments, the electric vehicle 101 detects its own electric quantity and reports the electric quantity to the server 102, and the server 102 determines, based on order information of a plurality of orders to be distributed in a task list of the electric vehicle and a position of a charging cabinet located in a geographic area where the electric vehicle is located, a charging cabinet whose distance from a plurality of orders to be distributed in a destination address set meets a distance condition, where the first condition is used to indicate a condition that the electric vehicle needs to be charged. The server 102 recommends the charging and recharging cabinet to the terminal 103. The terminal 103 displays the position of the charging and replacing cabinet in the electronic map in the electric cabinet recommendation interface, so that the distribution capacity drives the electric vehicle 101 to the charging and replacing cabinet to complete charging and replacing.

In some embodiments, as shown in fig. 3, the implementation environment further includes a power closet 104, where the power closet 104 establishes a communication connection with the server 102 in a wireless or wired manner.

Optionally, after the server 102 recommends a charging cabinet to the terminal 103, the delivery capacity may make a confirmation on the terminal 103, and send a confirmation notification to the server 102 indicating that the delivery capacity agrees to supplement the power to the charging cabinet. The server 102 sends a lock notification to the battery change cabinet 104 to cause the battery change cabinet 104 to lock the battery for distribution capacity.

Fig. 4 is a flowchart of a charging recommendation method provided in an embodiment of the present application, where an execution body is taken as a server for example to perform an exemplary description. Referring to fig. 4, the method includes:

401. the server obtains the electric quantity of the electric vehicle for distributing and transporting capacity.

The delivery capacity may be a delivery person or a delivery robot, and the delivery capacity is not limited in the embodiment of the present application. The electric vehicle is a vehicle driven to run based on electric energy, and therefore, the electric vehicle includes a battery, and the electric quantity of the electric vehicle is that of the battery in the electric vehicle.

In some embodiments, the electric vehicle detects its own power, and sends the power to the server, so that the server obtains the power of the electric vehicle for delivering the capacity. In other embodiments, the electric vehicle detects its own power, sends the power to the terminal, and the terminal forwards the power to the server, so that the server obtains the power of the electric vehicle for delivering the capacity.

402. And under the condition that the electric quantity of the electric vehicle meets a first condition, the server determines the charging cabinet which meets a distance condition with the distances of a plurality of orders to be distributed in a destination address set of the orders to be distributed based on order information of the orders to be distributed in a task list of the distribution capacity and the positions of the charging cabinets in a geographical area where the distribution capacity is located, wherein the first condition is used for indicating the condition that the electric vehicle needs to be charged, and the destination address of the orders to be distributed comprises a distribution address and/or a pickup address of the orders to be distributed.

The order information of the order to be distributed includes a destination address, a delivery time limit, an order number, etc. of the order to be distributed, and the embodiment of the present application does not limit the order information. The geographical area where the delivery capacity is located may be a city where the delivery capacity is located, an urban area where the delivery capacity is located, etc., and the embodiment of the present application does not limit the geographical area where the delivery capacity is located. The charging and replacing cabinet is an electric cabinet with charging and/or replacing functions.

The first condition is for indicating a condition that the electric vehicle needs to be charged. In some embodiments, the first condition includes a second threshold. When the electric quantity of the electric vehicle is lower than the second threshold value, the electric vehicle is required to be charged. The method further comprises the steps of: and in response to the electrical quantity of the electric vehicle being below a second threshold, determining that the electrical quantity of the electric vehicle satisfies a second condition. In other embodiments, the first condition includes a first quantity of orders to be dispensed. In order to reduce the influence of the charging and changing of the electric vehicle on order distribution, the charging and changing are carried out by the way in the order distribution process as much as possible, when the electric quantity of the electric vehicle is insufficient to complete the first quantity of orders to be distributed, the electric vehicle is indicated to be required to be charged and changed, and otherwise, the charging and changing by the way in the order distribution process is difficult. The method further comprises the steps of: in response to the electric vehicle being insufficient to fulfill the first number of orders to be dispensed, it is determined that the electric vehicle satisfies a first condition.

The second threshold may be any value, for example, 30%, 20%, etc., which is not limited in the embodiments of the present application. The first number may be any number, for example, 3, 4, 5, etc., and the embodiments of the present application do not limit the first number.

In this embodiment of the present application, the server determines, based on order information of a plurality of to-be-delivered orders in the task list of the delivery capacity and positions of the charging and replacing cabinets located in the geographic area where the delivery capacity is located, a charging and replacing cabinet with a distance between the charging and replacing cabinet and a plurality of to-be-delivered orders in a destination address set of the to-be-delivered orders meeting a distance condition, that is, in this embodiment of the present application, the charging and replacing cabinet determined by the server is a charging and replacing cabinet with a distance between the charging and replacing cabinet and a destination address of the plurality of to-be-delivered orders, and recommends the charging and replacing cabinet to the delivery capacity, so that the delivery capacity reaches the charging and replacing cabinet to charge and replace electricity when delivering the plurality of to-be-delivered orders.

In one possible implementation manner, the server may perform position clustering on a plurality of to-be-distributed orders in the task list of the distribution capacity to obtain a plurality of order sets, so that the plurality of to-be-distributed orders in each order set are a plurality of to-be-distributed orders with a relatively short distance, and the charging cabinet with a relatively short distance from the order sets may be recommended to the distribution capacity, thereby implementing recommendation to the distribution capacity of the charging cabinet with a relatively short distance from the plurality of to-be-distributed orders. The server determines, based on order information of a plurality of orders to be distributed in a task list of the distribution capacity and a position of a charging cabinet located in a geographical area where the distribution capacity is located, a charging cabinet whose distances from the plurality of orders to be distributed in a destination address set satisfy a distance condition, including: the server obtains at least one order set based on order information of a plurality of orders to be distributed in a task list of distribution capacity, wherein the distance between destination addresses of the orders to be distributed in the order set does not exceed a first threshold; and determining the charging and changing cabinet with the distance meeting the distance condition from the area corresponding to the order set based on the position of the charging and changing cabinet in the geographical area where the distribution capacity is located.

The first threshold may be any value, which is not limited in the embodiment of the present application. For example, the first threshold is 500 meters, 1 kilometer, 2 kilometers, etc.

The destination address of the delivery order may be a delivery address or a pick-up address, which is not limited in this embodiment of the present application. If the delivery order does not complete the pick-up, the destination address of the delivery order is the pick-up address; if the delivery order has completed the pick, then the destination address of the delivery order is the delivery address.

In some embodiments, a delivery order range of delivery capacity may be preset, for example, 3 km, and a plurality of delivery order areas are defined based on the preset delivery order range and destination addresses of a plurality of to-be-delivered orders in a task list of delivery capacity, one delivery order area corresponds to one order set, and a distance between the destination addresses of the plurality of to-be-delivered orders in each delivery order area does not exceed the preset delivery order range, that is, the preset delivery order range and the first threshold are the same value. The server obtains at least one order set based on order information of a plurality of orders to be distributed in a task list of distribution capacity, comprising: the server determines at least one delivery area based on order information of a plurality of to-be-delivered orders with different destination addresses in a task list of delivery capacity and a preset delivery range, wherein the plurality of to-be-delivered orders in the same delivery area belong to the same order set, and the preset delivery range is used for indicating the size of the delivery area. Optionally, the server determines, based on the location of the battery-changing cabinet located in the geographic area where the delivery capacity is located, a battery-charging cabinet whose distance from the area corresponding to the order set satisfies a distance condition, including: and the server determines the charging and replacing station positioned in the order delivery area corresponding to the order set based on the position of the battery cabinet positioned in the geographical area where the delivery capacity is positioned and the order delivery area corresponding to the order set.

In some embodiments, after the server obtains the at least one order set, the server may further determine a sequential delivery order of each order set, and instruct the delivery capacity to sequentially deliver the orders to be delivered in the at least one order set according to the sequential delivery order. Optionally, the method further comprises: the server determines a delivery order for each of the order sets based on at least one of a number of the plurality of orders to be delivered in each of the order sets, a delivery time limit for the plurality of orders to be delivered, a distance between destination addresses of the plurality of orders to be delivered, and a current location of the delivery capacity, and sends the delivery order for each of the order sets to the delivery capacity.

In some embodiments, the server may recommend only the charging cabinets corresponding to the set of orders that are preferentially distributed when recommending the charging cabinets to the distribution capacity. The server determines a charging and battery-changing cabinet with the distance meeting the distance condition from the area corresponding to the order set based on the position of the battery-changing cabinet in the geographical area where the distribution capacity is located, and the charging and battery-changing cabinet comprises: the server determines a target order set for preferential distribution from at least one order set; and determining the charging and replacing station with the distance meeting the distance condition from the area corresponding to the target order set based on the position of the battery replacing cabinet in the geographical area where the distribution capacity is located.

The target order set for preferential delivery may be determined by a server or determined by delivery capacity, which is not limited in the embodiment of the present application.

In some embodiments, the set of target orders for the priority dispatch is self-determined by the server. Optionally, the server determines a target order set for preferential delivery from at least one order set, including: the server determines a delivery order of each order set based on at least one of the number of the plurality of orders to be delivered in each order set, a delivery time limit of the plurality of orders to be delivered, a distance between destination addresses of the plurality of orders to be delivered, and a current location of delivery capacity, and determines a target order set for preferential delivery. The more the number of the orders to be distributed in the order set is, the more the distribution sequence of the order set is; the more tense the delivery time limit of a plurality of to-be-delivered orders of the order set is, the more the delivery order of the order set is; the smaller the distance between the destination addresses of the plurality of orders to be distributed, the earlier the distribution sequence of the order set; the closer the position of the delivery capacity is to the area corresponding to the order set, the earlier the delivery order of the order set.

In other embodiments, the set of target orders for the priority delivery is determined by delivery capacity. Optionally, the server determines a target order set for preferential delivery from at least one order set, including: the terminal displays a distribution setting interface, wherein the distribution setting interface is used for displaying at least one order set or distribution conditions of a plurality of orders to be distributed in the order set on the electronic map; and determining the order set as a target order set according to the selection of the order set in the distribution setting interface, and sending an order set selection notice to the server, wherein the order set selection notice is used for indicating the order set selected by the server distribution capacity as the target order set for preferential distribution.

In other embodiments, the order of delivery of the orders to be delivered in the order set may be determined first, and then a charging and replacing cabinet that the electric vehicle can reach before the electric power is exhausted in the delivery process is determined, and the charging and replacing cabinet is recommended to the delivery capacity so that the delivery capacity can be moved to the charging and replacing cabinet to supplement the electric power before the electric power of the electric vehicle is exhausted. The server determines, based on the position of the battery-changing cabinet located in the geographical area where the delivery capacity is located, a battery-charging cabinet whose distance from the area corresponding to the order set satisfies a distance condition, including: the server determines a charging cabinet which can be reached before the electricity consumption in the process of delivering the plurality of orders to be delivered according to the delivery sequence by the delivery capacity based on the current position of the electric vehicle, the current electric quantity of the electric vehicle, the delivery time limit of the plurality of orders to be delivered in the order set and the destination address of the plurality of orders to be delivered in the order set.

In one possible implementation, some of the plurality of orders to be dispensed in the task list of the dispensing capacity are priority dispensing orders and some are non-urgent orders. For example, when the current time is 11 points for 30 minutes and the required delivery time of order 1 is 12 points for 10 minutes, order 1 is a priority delivery order; the requested time for delivery of order 2 is 16 points for 30 minutes, then order 2 is a non-urgent order. For another example, the current time is 11 points 30 minutes, the required delivery time of order 1 is 12 points 40 minutes, but the distance of order 1 is far, and order 1 is also a priority delivery order. When recommending battery packs for delivery capacity based on order information of orders to be delivered, non-emergency orders may not be considered, and only priority delivery orders may be considered. The server determines, based on order information of a plurality of to-be-delivered orders in a task list of delivery capacity and a position of a charging cabinet located in a geographical area where the delivery capacity is located, a charging cabinet whose distances from a plurality of to-be-delivered orders in a destination address set of the to-be-delivered orders satisfy a distance condition, including: the server determines a priority delivery order indicated by at least one of the delivery time limit and the delivery distance in the task list based on the delivery time limit and/or the delivery distance of a plurality of orders to be delivered in the task list of the delivery capacity; and determining the charging cabinet, the distance between the charging cabinet and the priority order to be distributed in the destination address set of which meets the distance condition, based on the position of the charging cabinet in the geographical area where the distribution capacity is located.

In one possible implementation manner, the charging and replacing recommendation method provided in the embodiment of the present application has two modes, namely a fixed mode and a dynamic mode. Under the fixed mode, recommending the charging and replacing cabinet to the delivery capacity until the delivery capacity controls the electric vehicle to travel to the charging and replacing cabinet, and the recommended charging and replacing cabinet cannot be changed. In the dynamic mode, when the task list of the delivery capacity changes in state, the charging cabinet is recommended to the delivery capacity again. After recommending the determined charging cabinet to the delivery capacity, the server further comprises: and after the delivery capacity finishes the delivery task of one order to be delivered, executing the order information of a plurality of orders to be delivered in the task list based on the delivery capacity and the positions of the charging cabinets in the geographical area where the delivery capacity is located again, determining the charging cabinets which are located in the destination address set of the orders to be delivered and have the distances to the plurality of orders to be delivered meeting the distance condition, and recommending the determined charging cabinets to the delivery capacity.

403. The server recommends the determined charging and replacing cabinet to the distribution capacity, so that the distribution capacity can supplement the electric quantity to the charging and replacing cabinet before the electric quantity of the electric vehicle is exhausted.

In one possible implementation, the server recommends a determined charging cabinet to the distribution capacity, including: and the server sends the recommended charging cabinet information of the charging cabinet to the terminal of the distribution capacity so that the terminal displays the charging cabinet information. The charging cabinet information comprises information such as the position of the charging cabinet, and the charging cabinet information is not limited in the embodiment of the application.

In some embodiments, after recommending the determined charging cabinet to the delivery capacity, the server may reserve the recommended charging cabinet, and after the reservation is successful, the charging cabinet locks a battery for the delivery capacity, so that after the delivery capacity reaches the charging cabinet, the electric vehicle is supplemented with electric quantity based on the battery locked for the delivery capacity.

According to the charging and replacing recommendation method, when the electric carrier needs to be charged, the charging and replacing cabinet which is close to the plurality of orders to be distributed of the distribution capacity is recommended for the distribution capacity, so that the charging and replacing cabinet can be used for completing the supplement of electric quantity when the plurality of orders to be distributed are distributed, and the charging and replacing cabinet and the plurality of orders to be distributed are close in distance, the electric carrier can be driven to the charging and replacing cabinet before the electric quantity of the electric carrier is exhausted as much as possible, the influence of charging and replacing on order distribution is reduced, and the order distribution efficiency is improved.

It should be noted that, in all the above alternative solutions, any combination may be adopted to form an alternative embodiment of the present application, which is not described herein in detail.

Fig. 5 is a flowchart of a charging recommendation method provided in an embodiment of the present application, where an implementation main body is an electric vehicle for example and is described in an exemplary manner. Referring to fig. 5, the method includes:

501. the electric vehicle determines an amount of power of the automatically driven electric vehicle that performs the delivery task.

The electric vehicle is an electric vehicle with an automatic driving function, and the electric vehicle can execute a delivery task. In some embodiments, the electric vehicle is a dispensing robot.

In some embodiments, the electric vehicle includes a battery, and the autonomous electric vehicle performing the delivery task determines its own electrical quantity, including: an automatically driven electric vehicle that performs a dispensing task detects the charge of the battery. In some embodiments, after the electric vehicle automatically driven to perform the delivery task detects the electric quantity of the battery, the electric quantity is sent to the server, and the server recommends the electric cabinet to be charged when the electric quantity meets the first condition. In other embodiments, after the automatically driven electric vehicle performing the delivery task detects the power of the battery, if the power satisfies the first condition, the power is sent to the server, so that the server recommends the electric vehicle to charge the battery cabinet.

502. Under the condition that the electric quantity meets a first condition, the receiving server is used for indicating the condition that the electric vehicle needs to be charged based on order information of a plurality of orders to be distributed in a task list of the electric vehicle and charging cabinet information of a charging cabinet, recommended by the position of the charging cabinet in a geographical area where the electric vehicle is located, of a plurality of orders to be distributed, and the distance between the charging cabinet information and a destination address is concentrated, wherein the distance between the charging cabinet information and the plurality of orders to be distributed meets a distance condition.

The process of determining the charging cabinet and recommending the charging cabinet by the server can refer to the above-mentioned step 402 and step 403, and will not be described in detail here.

503. The electric vehicle runs to the position of the charging and changing cabinet under the guidance of route planning according to the address in the destination address set, and automatically or manually assisted to complete the butt joint with the charging and changing cabinet so as to supplement electric quantity.

After receiving the charging cabinet information of the charging cabinet, the electric carrier performs route planning based on destination addresses of a plurality of to-be-distributed orders in a task list of the electric carrier and the recommended position of the charging cabinet, completes distribution and running of the to-be-distributed orders to the position of the charging cabinet under the guidance of the route planning, and automatically or manually assisted completes docking with the charging cabinet to supplement electric quantity.

Fig. 6 is a flowchart of a charging recommendation method provided in an embodiment of the present application, where an execution body is taken as an example of a terminal to perform an exemplary description. Referring to fig. 6, the method includes:

601. and the terminal displays a recommending interface of the electric cabinet based on the logged account number of the distribution capacity.

The electric cabinet recommendation interface is an interface for displaying information of the charging and changing electric cabinets recommended by the server, so that distribution capacity can learn the charging and changing electric cabinets recommended by the server.

602. The terminal displays, in an electric cabinet recommendation interface, charging cabinet information of a charging cabinet, which is recommended by an electric vehicle with delivery capacity, of which the distances to a plurality of orders to be delivered in a destination address set of the orders to be delivered meet a distance condition, based on order information of a plurality of orders to be delivered in a task list with delivery capacity and the position of the charging cabinet in a geographical area where the delivery capacity is located, wherein the charging cabinet information of the charging cabinet is recommended by the server under the condition that the electric quantity of the electric vehicle meets a first condition, and the first condition is used for indicating a condition that the electric vehicle needs to be charged.

In one possible implementation manner, in an electric cabinet recommendation interface, a terminal displays, based on order information of a plurality of orders to be distributed in a task list of a distribution capacity and a position of a charging cabinet located in a geographical area where the distribution capacity is located, charging cabinet information of the charging cabinet, which is recommended for an electric vehicle of the distribution capacity and has distances from a plurality of orders to be distributed in a destination address set of the orders to be distributed, meeting a distance condition, on the basis of the order information, including: the terminal displays the distribution condition of each order set on the electronic map in an electric cabinet recommendation interface, wherein the distance between destination addresses of orders to be distributed in the order set does not exceed a first threshold; and displaying the distribution condition of the charging and changing cabinet, which meets the distance condition with the distances between a plurality of orders to be distributed in the order set, on the electronic map.

For example, as shown in fig. 7, in the electric cabinet recommendation interface, a delivery area corresponding to each order set is displayed, and the charging and changing cabinet in the delivery area is the charging and changing cabinet with the distances between the charging and changing cabinet and the plurality of orders to be distributed in the order set meeting the distance condition.

In some embodiments, as shown in fig. 8, a rider performs order distribution by using an electric vehicle, the electric vehicle detects the electric quantity of a battery and reports the electric quantity of the battery to a cloud, when the electric quantity is lower than a second threshold, the cloud triggers a recommendation strategy to recommend a battery replacement station to the rider, the rider obtains the battery replacement station recommended by the cloud through an applet or an application, the applet or the application also prompts the rider whether the battery needs to be replaced and locked, and the rider clicks to confirm and then sends locking information to the battery replacement station through the cloud to lock one battery of the battery replacement station. After the rider arrives at the power exchange station, the power exchange request is sent to the cloud through a small program or application, the cloud instructs the power exchange station to unlock and open the locked battery, so that the rider can replace the battery, and the battery to be charged is placed into the charging cabinet for charging.

Fig. 9 is a schematic structural diagram of a charging recommendation device provided in an embodiment of the present application, and as shown in fig. 9, the device includes:

the acquisition module 901 is used for acquiring the electric quantity of the electric vehicle with the delivery capacity;

the determining module 902 is configured to determine, when the electric quantity of the electric vehicle meets a first condition, based on order information of a plurality of orders to be distributed in a task list of a distribution capacity and a position of a charging cabinet located in a geographic area where the distribution capacity is located, a charging cabinet whose distances from a plurality of orders to be distributed in a destination address set of the orders to be distributed meet a distance condition, where the first condition is used to indicate a condition that the electric vehicle needs to be charged, and the destination address of the orders to be distributed includes a distribution address and/or a pickup address of the orders to be distributed;

The recommending module 903 is configured to recommend the determined charging and replacing cabinet to the distribution capacity, so that the distribution capacity can be used to supplement the electric quantity to the charging and replacing cabinet before the electric quantity of the electric vehicle is exhausted.

In one possible implementation, the determining module 902 includes:

the system comprises an acquisition unit, a distribution capacity calculation unit and a distribution capacity calculation unit, wherein the acquisition unit is used for acquiring at least one order set based on order information of a plurality of to-be-distributed orders in a task list of the distribution capacity, and the distance between destination addresses of the to-be-distributed orders included in the order set does not exceed a first threshold;

In one possible implementation, the determining unit is configured to determine a target order set for preferential delivery from at least one order set; and determining the charging and replacing station with the distance meeting the distance condition from the area corresponding to the target order set based on the position of the battery replacing cabinet in the geographical area where the distribution capacity is located.

In one possible implementation manner, the determining unit is configured to determine a delivery order of each order set, and determine a target order set of preferential delivery based on at least one of a number of orders to be delivered in each order set, a delivery time limit of the orders to be delivered, a distance between destination addresses of the orders to be delivered, and a current location of delivery capacity;

Or,

the determining unit is used for displaying a distribution setting interface, wherein the distribution setting interface is used for displaying at least one order set or distribution conditions of a plurality of orders to be distributed in the order set on the electronic map; and determining the order set as a target order set according to the selection of the order set in the distribution setting interface.

In one possible implementation manner, the determining unit is configured to determine, based on a current position of the electric vehicle, a current electric quantity of the electric vehicle, a delivery time limit of a plurality of orders to be delivered in the order set, and destination addresses of the plurality of orders to be delivered in the order set, a charging cabinet that can be reached before the electric quantity is consumed in a process of delivering the plurality of orders to be delivered in the delivery order by delivery capacity.

In one possible implementation, a determining module 902 is configured to determine, based on delivery time limits and/or delivery distances of a plurality of orders to be delivered in the task list of delivery capacity, a priority delivery order indicated by at least one of the delivery time limits and the delivery distances in the task list; and determining the charging cabinet, the distance between the charging cabinet and the priority order to be distributed in the destination address set of which meets the distance condition, based on the position of the charging cabinet in the geographical area where the distribution capacity is located.

Fig. 10 is a schematic structural diagram of a charging recommendation device provided in an embodiment of the present application, and as shown in fig. 10, the device includes:

a determining module 1001, configured to determine an electric quantity of an automatically driven electric vehicle that performs a delivery task;

the receiving module 1002 is configured to, when the electric quantity meets a first condition, receive charging cabinet information of a charging cabinet of the charging cabinet, where distances between the charging cabinet and a plurality of to-be-distributed orders in a geographical area where the electric vehicle is located are recommended to meet a distance condition based on order information of the plurality of to-be-distributed orders in a task list of the electric vehicle, and the charging cabinet information of the charging cabinet, where the distances between the charging cabinet and the plurality of to-be-distributed orders in the destination address set are recommended by a location of the charging cabinet where the electric vehicle is located, where the first condition is used for indicating a condition that the electric vehicle needs to be charged;

and the running module 1003 is used for running to the position of the charging and changing cabinet under the guidance of route planning according to the address in the destination address set, and completing the butt joint with the charging and changing cabinet automatically or with the assistance of manpower so as to supplement the electric quantity.

Fig. 11 is a schematic structural diagram of a charging recommendation device provided in an embodiment of the present application, and as shown in fig. 11, the device includes:

the display module 1101 is configured to display an electric cabinet recommendation interface based on the account number of the logged-in delivery capacity;

The display module 1101 is further configured to display, in the electric cabinet recommendation interface, charging cabinet information of a charging cabinet of a distance-meeting condition between a plurality of to-be-dispensed orders recommended by the electric vehicle with the delivery capacity and a destination address set of the to-be-dispensed orders based on order information of the to-be-dispensed orders in the task list with the delivery capacity and a position of the charging cabinet located in a geographical area where the delivery capacity is located, where the charging cabinet is recommended by the server under a condition that an electric quantity of the electric vehicle meets a first condition, and the first condition is used for indicating a condition that the electric vehicle needs to be charged.

In a possible implementation manner, the display module 1101 is configured to display, in the electric cabinet recommendation interface, a distribution condition of each order set on the electronic map, where a distance between destination addresses of orders to be distributed included in the order set does not exceed a first threshold; and displaying the distribution condition of the charging and changing cabinet, which has the distances to a plurality of orders to be distributed in the order set and meets the distance condition, on the electronic map.

Fig. 12 is a block diagram of a terminal 1200 according to an embodiment of the present application. The terminal 1200 includes: a processor 1201 and a memory 1202.

Processor 1201 may include one or more processing cores, such as a 4-core processor, an 8-core processor, or the like. The processor 1201 may be implemented in at least one hardware form of DSP (Digital Signal Processing ), FPGA (Field-Programmable Gate Array, field programmable gate array), PLA (Programmable Logic Array ). The processor 1201 may also include a main processor, which is a processor for processing data in an awake state, also called a CPU (Central Processing Unit ), and a coprocessor; a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 1201 may integrate a GPU (Graphics Processing Unit, image processor) for rendering and rendering of content required to be displayed by the display screen. In some embodiments, the processor 1201 may also include an AI (Artificial Intelligence ) processor for processing computing operations related to machine learning.

Memory 1202 may include one or more computer-readable storage media, which may be non-transitory. Memory 1202 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 1202 is used to store at least one program code for execution by processor 1201 to implement the power up recommendation method provided by the method embodiments herein.

In some embodiments, the terminal 1200 may further optionally include: a peripheral interface 1203, and at least one peripheral. The processor 1201, the memory 1202, and the peripheral interface 1203 may be connected by a bus or signal lines. The individual peripheral devices may be connected to the peripheral device interface 1203 via buses, signal lines, or a circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 1204, a display 1205, a camera assembly 1206, audio circuitry 1207, a positioning assembly 1208, and a power supply 1209.

The peripheral interface 1203 may be used to connect at least one peripheral device associated with an I/O (Input/Output) to the processor 1201 and the memory 1202. In some embodiments, the processor 1201, the memory 1202, and the peripheral interface 1203 are integrated on the same chip or circuit board; in some other embodiments, either or both of the processor 1201, the memory 1202, and the peripheral interface 1203 may be implemented on separate chips or circuit boards, which is not limited in this embodiment.

The display 1205 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display 1205 is a touch display, the display 1205 also has the ability to collect touch signals at or above the surface of the display 1205. The touch signal may be input as a control signal to the processor 1201 for processing. At this time, the display 1205 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display 1205 may be one, providing a front panel of the terminal 1200; in other embodiments, the display 1205 may be at least two, respectively disposed on different surfaces of the terminal 1200 or in a folded design; in still other embodiments, the display 1205 may be a flexible display disposed on a curved surface or a folded surface of the terminal 1200. Even more, the display 1205 may be arranged in an irregular pattern that is not rectangular, i.e., a shaped screen. The display 1205 can be made of LCD (Liquid Crystal Display ), OLED (Organic Light-Emitting Diode) or other materials.

The power supply 1209 is used to power the various components in the terminal 1200. The power source 1209 may be an alternating current, a direct current, a disposable battery, or a rechargeable battery. When the power source 1209 includes a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology.

It will be appreciated by those skilled in the art that the structure shown in fig. 12 is not limiting and that more or fewer components than shown may be included or certain components may be combined or a different arrangement of components may be employed.

Fig. 13 is a schematic structural diagram of a server according to an embodiment of the present application, where the server 1300 may have a relatively large difference due to configuration or performance, and may include one or more processors (Central Processing Units, CPU) 1301 and one or more memories 1302, where at least one program code is stored in the memories 1302, and the at least one program code is loaded by the processors 1301 and executed to implement the methods provided in the foregoing method embodiments. Of course, the server may also have a wired or wireless network interface, a keyboard, an input/output interface, and other components for implementing the functions of the device, which are not described herein.

The server 1300 is configured to perform the steps performed by the server in the method embodiment described above.

The embodiment of the application also provides an electric vehicle, which comprises a processor and a memory, wherein at least one program code is stored in the memory, and the at least one program code is loaded and executed by the processor to realize the charging recommendation method according to any implementation mode.

Embodiments of the present application also provide a computer readable storage medium having at least one program code stored therein, the at least one program code being loaded and executed by a processor to implement a charging recommendation method according to any of the above-mentioned implementations.

Embodiments of the present application also provide a computer program product, where the computer program product includes at least one program code, where the at least one program code is loaded and executed by a processor to implement a power up and down recommendation method according to any of the above implementations.

In some embodiments, the computer program related to the embodiments of the present application may be deployed to be executed on one computer device or on multiple computer devices located at one site, or on multiple computer devices distributed across multiple sites and interconnected by a communication network, where the multiple computer devices distributed across multiple sites and interconnected by a communication network may constitute a blockchain system.

The foregoing is illustrative of the present invention and is not to be construed as limiting thereof, but rather as being included within the spirit and principles of the present invention.

Claims

1. A charging recommendation method, the method comprising:

2. The method of claim 1, wherein determining a charging cabinet that satisfies a distance condition from a plurality of orders to be distributed in a destination address set of the orders to be distributed based on order information of the plurality of orders to be distributed in the task list of distribution capacity and a position of the charging cabinet located in a geographic area where the distribution capacity is located, comprises:

3. The method of claim 2, wherein determining, based on the location of the charging and replacement cabinet located in the geographic area in which the distribution capacity is located, that the distance from the area corresponding to the set of orders satisfies the distance condition comprises:

and determining the charging cabinet, the distance between the charging cabinet and the area corresponding to the target order set of which meets the distance condition, based on the position of the charging cabinet in the geographical area where the distribution capacity is located.

4. A method according to claim 3, wherein said determining a target set of orders for preferential delivery from said at least one set of orders comprises:

or,

5. The method of claim 2, wherein determining, based on the location of the charging and replacement cabinet located in the geographic area in which the distribution capacity is located, that the distance from the area corresponding to the set of orders satisfies the distance condition comprises:

6. The method of claim 1, wherein determining a charging cabinet that satisfies a distance condition from a plurality of orders to be distributed in a destination address set of the orders to be distributed based on order information of the plurality of orders to be distributed in the task list of distribution capacity and a position of the charging cabinet located in a geographic area where the distribution capacity is located, comprises:

7. A charging recommendation method, the method comprising:

under the condition that the electric quantity meets a first condition, receiving order information of a plurality of to-be-distributed orders in a task list of the electric vehicle and charging cabinet information of a charging cabinet, recommended by the position of the charging cabinet in a geographic area where the electric vehicle is located, of the plurality of to-be-distributed orders, wherein the distance between the charging cabinet information and a destination address set meets a distance condition, and the first condition is used for indicating a condition that the electric vehicle needs to be charged;

8. A charging recommendation method, the method comprising:

9. The method according to claim 8, wherein in the electric cabinet recommendation interface, the display server, based on order information of a plurality of to-be-delivered orders in the task list of the delivery capacity and a position of a charging cabinet located in a geographical area where the delivery capacity is located, recommends charging cabinet information of the charging cabinet satisfying a distance condition for a distance between the to-be-delivered orders in a destination address set of the to-be-delivered orders for the electric vehicle of the delivery capacity, includes:

10. An electric vehicle comprising a processor and a memory, wherein the memory stores at least one program code that is loaded and executed by the processor to implement the charging recommendation method of claim 7.